Line 88: | Line 88: | ||
<h1 class="title">Human Practices</h1> | <h1 class="title">Human Practices</h1> | ||
<section class="section"> | <section class="section"> | ||
− | < | + | <a style="padding: 0" rticle> |
<h1 class="title">Report on Genetic Engineering</h1> | <h1 class="title">Report on Genetic Engineering</h1> | ||
<p style="text-align: justify; margin-bottom: 1em;"> | <p style="text-align: justify; margin-bottom: 1em;"> | ||
Line 125: | Line 125: | ||
today in many | today in many | ||
#variations, is believed to be the organism our ancestors selectively bred first at around 32,000 years | #variations, is believed to be the organism our ancestors selectively bred first at around 32,000 years | ||
− | ago <a | + | ago <a style="padding: 0" |
href="https://www.nytimes.com/2013/05/16/science/dogs-from-fearsome-predator-to-mans-best-friend.html">(Zimmer, | href="https://www.nytimes.com/2013/05/16/science/dogs-from-fearsome-predator-to-mans-best-friend.html">(Zimmer, | ||
− | 2013)</a>. | + | 2013)</a>. And there are many more instances like corn which originates from a grass called teosinte with |
− | + | very few kernels <a style="padding: 0" | |
− | + | href="https://learn.genetics.utah.edu/content/evolution/corn/">(‘Evolution of Corn’, | |
− | + | n.d.)</a>. However, this process is not considered GMO technology today. What we understand under genetic | |
− | + | modification today can be traced back to | |
− | + | ||
− | + | ||
the mid 1900´s | the mid 1900´s | ||
when scientists discovered that genetic material can be transferred between different species | when scientists discovered that genetic material can be transferred between different species | ||
− | <a href="https://doi.org/10.1084/jem.79.2.137">(Avery, MacLeod, & McCarty, 1944)</a>, | + | <a style="padding: 0" href="https://doi.org/10.1084/jem.79.2.137">(Avery, MacLeod, & McCarty, 1944)</a>, |
− | the structure of genetic material was identified as a double helix | + | the structure of genetic material was identified as a double helix <a style="padding: 0" |
− | + | href="https://doi.org/10.1098/rspa.1954.0101">(Crick, Watson, & Bragg, 1954)</a>, the genetic code was | |
− | deciphered <a href="https://www.ncbi.nlm.nih.gov/pubmed/13938750">(Nirenberg, Matthaei, Jones, Martin, & | + | deciphered <a style="padding: 0" href="https://www.ncbi.nlm.nih.gov/pubmed/13938750">(Nirenberg, Matthaei, |
− | Barondes, 1963)</a> | + | Jones, Martin, & |
− | + | Barondes, 1963)</a> and finally a DNA recombinant technology was described <a style="padding: 0" | |
− | + | href="https://doi.org/10.1073/pnas.70.11.3240">(Cohen, Chang, Boyer, & Helling, 1973)</a>. Only a few | |
decades after these | decades after these | ||
ground-breaking discoveries were made, the first | ground-breaking discoveries were made, the first | ||
genetically modified (GM) plants were produced in 1983, which were antibiotic resistant tobacco and petunia | genetically modified (GM) plants were produced in 1983, which were antibiotic resistant tobacco and petunia | ||
− | <a href="https://www.ncbi.nlm.nih.gov/pubmed/7153688">(Bevan & Chilton, 1982; Fraley, 1983; Herrera‐Estrella | + | <a style="padding: 0" href="https://www.ncbi.nlm.nih.gov/pubmed/7153688">(Bevan & Chilton, 1982; Fraley, |
+ | 1983; Herrera‐Estrella | ||
et al., 1983)</a>. | et al., 1983)</a>. | ||
Soon, the first GM plants were commercialized: in the | Soon, the first GM plants were commercialized: in the | ||
Line 158: | Line 157: | ||
sugar beet, | sugar beet, | ||
vegetables like tomato, maize and potato and even cotton for clothes production | vegetables like tomato, maize and potato and even cotton for clothes production | ||
− | <a href="http://www.isaaa.org/gmapprovaldatabase/cropslist/default.asp">(‘GM Crops List—GM Approval | + | <a style="padding: 0" href="http://www.isaaa.org/gmapprovaldatabase/cropslist/default.asp">(‘GM Crops |
+ | List—GM Approval | ||
Database | ISAAA.org’, n.d.)</a>.</p> | Database | ISAAA.org’, n.d.)</a>.</p> | ||
<p style="text-align: justify; margin-bottom: 1em;"> | <p style="text-align: justify; margin-bottom: 1em;"> | ||
Line 202: | Line 202: | ||
the world 4.349 approvals to GM crops have been issued, of this being 2.063 for food, 1.461 for feed use and | the world 4.349 approvals to GM crops have been issued, of this being 2.063 for food, 1.461 for feed use and | ||
825 for | 825 for | ||
− | cultivation <a href="https://www.isaaa.org/resources/publications/briefs/54/executivesummary/default.asp"> | + | cultivation <a style="padding: 0" |
+ | href="https://www.isaaa.org/resources/publications/briefs/54/executivesummary/default.asp"> | ||
(‘ISAAA Brief 54-2018: Executive Summary | ISAAA.org’, n.d.)</a>. | (‘ISAAA Brief 54-2018: Executive Summary | ISAAA.org’, n.d.)</a>. | ||
</p> | </p> | ||
Line 212: | Line 213: | ||
Fig.1 - Area and adoption rate of GM crops (biotech crops) in 2018 worldwide.* GM sugar beets, potatoes, | Fig.1 - Area and adoption rate of GM crops (biotech crops) in 2018 worldwide.* GM sugar beets, potatoes, | ||
apple, squash, papaya and brinjal/eggplant. | apple, squash, papaya and brinjal/eggplant. | ||
− | <a href="https://www.isaaa.org/resources/publications/briefs/54/executivesummary/default.asp"> | + | <a style="padding: 0" |
+ | href="https://www.isaaa.org/resources/publications/briefs/54/executivesummary/default.asp"> | ||
Adopted from ISAAA, 2018</a>. | Adopted from ISAAA, 2018</a>. | ||
</figcaption> | </figcaption> | ||
Line 222: | Line 224: | ||
<figcaption style="max-width: 2400px; text-align: center"> | <figcaption style="max-width: 2400px; text-align: center"> | ||
Fig.2 - Global map of GM (biotech) countries in 2018. | Fig.2 - Global map of GM (biotech) countries in 2018. | ||
− | <a href="https://www.isaaa.org/resources/publications/briefs/54/executivesummary/default.asp"> | + | <a style="padding: 0" |
+ | href="https://www.isaaa.org/resources/publications/briefs/54/executivesummary/default.asp"> | ||
Adopted from ISAAA, 2018</a>. | Adopted from ISAAA, 2018</a>. | ||
</figcaption> | </figcaption> | ||
Line 233: | Line 236: | ||
used | used | ||
by | by | ||
− | agriculture in Germany <a | + | agriculture in Germany <a style="padding: 0" |
href="https://www.bmel.de/DE/Landwirtschaft/Pflanzenbau/Gentechnik/_Texte/Gentechnik_Wasgenauistdas.html"> | href="https://www.bmel.de/DE/Landwirtschaft/Pflanzenbau/Gentechnik/_Texte/Gentechnik_Wasgenauistdas.html"> | ||
(‘Gentechnik’, n.d.)</a>. | (‘Gentechnik’, n.d.)</a>. | ||
Line 257: | Line 260: | ||
for | for | ||
instance substances interacting with the DNA, or of physical origin, such as ionizing radiation | instance substances interacting with the DNA, or of physical origin, such as ionizing radiation | ||
− | <a href="https://doi.org/10.1080/13102818.2015.1087333">(Oladosu et al., 2016)</a>. | + | <a style="padding: 0" href="https://doi.org/10.1080/13102818.2015.1087333">(Oladosu et al., 2016)</a>. |
After using the mutagen on the crops, mostly seeds, seedlings or cell cultures from which single cells can | After using the mutagen on the crops, mostly seeds, seedlings or cell cultures from which single cells can | ||
be | be | ||
Line 275: | Line 278: | ||
massively, with | massively, with | ||
more than 3.300 entries to the Mutant Variety Database | more than 3.300 entries to the Mutant Variety Database | ||
− | <a href="https://mvd.iaea.org/#!Search?page=1&size=500&sortby=Name&sort=ASC">(‘Mutant Variety Database’, | + | <a style="padding: 0" href="https://mvd.iaea.org/#!Search?page=1&size=500&sortby=Name&sort=ASC">(‘Mutant |
+ | Variety Database’, | ||
n.d.)</a>, | n.d.)</a>, | ||
covering all major food and feed crops.</p> | covering all major food and feed crops.</p> | ||
Line 289: | Line 293: | ||
achieved | achieved | ||
either directly or indirectly. The direct approach utilizes a method called microparticle bombardment | either directly or indirectly. The direct approach utilizes a method called microparticle bombardment | ||
− | <a href="https://doi.org/10.1111/j.1399-3054.1990.tb05888.x">(Sanford, 1990)</a>. | + | <a style="padding: 0" href="https://doi.org/10.1111/j.1399-3054.1990.tb05888.x">(Sanford, 1990)</a>. |
Developed in the 1980´s, engineered DNA is coated on microparticles of either gold or tungsten and then | Developed in the 1980´s, engineered DNA is coated on microparticles of either gold or tungsten and then | ||
shot with high velocity at the target organism using high pressure helium gas. The DNA fragments can then be | shot with high velocity at the target organism using high pressure helium gas. The DNA fragments can then be | ||
Line 305: | Line 309: | ||
called | called | ||
CRISPR/Cas9 and other variants genetic engineering in plants got much easier | CRISPR/Cas9 and other variants genetic engineering in plants got much easier | ||
− | <a href="https://doi.org/10.1126/science.1231143">(Cong et al., 2013</a>; | + | <a style="padding: 0" href="https://doi.org/10.1126/science.1231143">(Cong et al., 2013</a>; |
− | <a href="https://doi.org/10.1095/biolreprod.114.123935">DeMayo & Spencer, 2014</a>; | + | <a style="padding: 0" href="https://doi.org/10.1095/biolreprod.114.123935">DeMayo & Spencer, 2014</a>; |
− | <a href="https://doi.org/10.1038/nprot.2013.143">Ran et al., 2013)</a>. | + | <a style="padding: 0" href="https://doi.org/10.1038/nprot.2013.143">Ran et al., 2013)</a>. |
This system is found in bacteria where it serves as a defence mechanism against viruses. The endonuclease is | This system is found in bacteria where it serves as a defence mechanism against viruses. The endonuclease is | ||
guided to its | guided to its | ||
Line 326: | Line 330: | ||
modifications within the boundaries of sexual compatibility. Therefore, cisgenic plants are similar to | modifications within the boundaries of sexual compatibility. Therefore, cisgenic plants are similar to | ||
traditionally bred | traditionally bred | ||
− | plants <a href="https://doi.org/10.1038/sj.embor.7400769">(Schouten, Krens, & Jacobsen, 2006)</a>. The most | + | plants <a style="padding: 0" href="https://doi.org/10.1038/sj.embor.7400769">(Schouten, Krens, & Jacobsen, |
+ | 2006)</a>. The most | ||
obvious example | obvious example | ||
of transgenic plants are the many varieties of so | of transgenic plants are the many varieties of so | ||
Line 332: | Line 337: | ||
integrated which | integrated which | ||
leads to the production of a crystal protein that is toxic to specific pest insects | leads to the production of a crystal protein that is toxic to specific pest insects | ||
− | <a href="http://sitn.hms.harvard.edu/flash/2015/insecticidal-plants/">(‘Insecticidal Plants’, 2015)</a>.</p> | + | <a style="padding: 0" href="http://sitn.hms.harvard.edu/flash/2015/insecticidal-plants/">(‘Insecticidal |
+ | Plants’, 2015)</a>.</p> | ||
<p style="text-align: justify; margin-bottom: 1em;"> | <p style="text-align: justify; margin-bottom: 1em;"> | ||
<b>Opinions on GMOs</b><br> | <b>Opinions on GMOs</b><br> | ||
Line 338: | Line 344: | ||
safety. | safety. | ||
Additionally many reviews exist summarizing GMO effects to a much broader scale possible here | Additionally many reviews exist summarizing GMO effects to a much broader scale possible here | ||
− | <a href="https://doi.org/10.1007/s13197-012-0899-1">(Bawa & Anilakumar, 2013</a>; | + | <a style="padding: 0" href="https://doi.org/10.1007/s13197-012-0899-1">(Bawa & Anilakumar, 2013</a>; |
− | <a href="https://doi.org/10.3109/07388551.2013.823595">Nicolia, Manzo, Veronesi, & Rosellini, 2014</a>; | + | <a style="padding: 0" href="https://doi.org/10.3109/07388551.2013.823595">Nicolia, Manzo, Veronesi, & |
− | <a href="https://doi.org/10.1016/j.fct.2011.11.048">Snell et al., 2012</a>; | + | Rosellini, 2014</a>; |
− | <a href="https://doi.org/10.1016/j.fshw.2016.04.002">Zhang, Wohlhueter, & Zhang, 2016)</a>. | + | <a style="padding: 0" href="https://doi.org/10.1016/j.fct.2011.11.048">Snell et al., 2012</a>; |
+ | <a style="padding: 0" href="https://doi.org/10.1016/j.fshw.2016.04.002">Zhang, Wohlhueter, & Zhang, | ||
+ | 2016)</a>. | ||
In many of these, authors conclude that the application of GMO offers great opportunities but still has to | In many of these, authors conclude that the application of GMO offers great opportunities but still has to | ||
be | be | ||
carried out | carried out | ||
with precautions. A simple “yes” or “no” cannot be given | with precautions. A simple “yes” or “no” cannot be given | ||
− | <a href="https://doi.org/10.1016/j.fshw.2016.04.002">(Zhang et al., 2016)</a>. Still, due to the partly | + | <a style="padding: 0" href="https://doi.org/10.1016/j.fshw.2016.04.002">(Zhang et al., 2016)</a>. Still, due |
+ | to the partly | ||
contradictory | contradictory | ||
evidence, it cannot be said there is a consensus among scientists, according to | evidence, it cannot be said there is a consensus among scientists, according to | ||
− | <a href="https://doi.org/10.1186/s12302-014-0034-1">Hilbeck et al., 2015</a>.</p> | + | <a style="padding: 0" href="https://doi.org/10.1186/s12302-014-0034-1">Hilbeck et al., 2015</a>.</p> |
<p style="text-align: justify; margin-bottom: 1em;"> | <p style="text-align: justify; margin-bottom: 1em;"> | ||
<b><i>Benefits of GM crops</i></b><br> | <b><i>Benefits of GM crops</i></b><br> | ||
Line 355: | Line 364: | ||
decrease of | decrease of | ||
arable land or the bottleneck of traditional breeding methods | arable land or the bottleneck of traditional breeding methods | ||
− | <a href="https://doi.org/10.1016/j.fshw.2016.04.002">(Zhang et al., 2016)</a>. | + | <a style="padding: 0" href="https://doi.org/10.1016/j.fshw.2016.04.002">(Zhang et al., 2016)</a>. |
To all of these, GMOs pose a genuine answer. The easiest way to produce more food for a growing population | To all of these, GMOs pose a genuine answer. The easiest way to produce more food for a growing population | ||
is to | is to | ||
Line 366: | Line 375: | ||
is the | is the | ||
equivalent to the size of two South America’s | equivalent to the size of two South America’s | ||
− | <a href="http://www.marklynas.org/2013/04/time-to-call-out-the-anti-gmo-conspiracy-theory/">(‘Time to call | + | <a style="padding: 0" |
+ | href="http://www.marklynas.org/2013/04/time-to-call-out-the-anti-gmo-conspiracy-theory/">(‘Time to call | ||
out | out | ||
the anti-GMO conspiracy theory – Mark Lynas’, n.d.)</a>. | the anti-GMO conspiracy theory – Mark Lynas’, n.d.)</a>. | ||
But food also needs to become nutritious. A good example here is “Golden Rice” | But food also needs to become nutritious. A good example here is “Golden Rice” | ||
− | <a href="https://doi.org/10.1126/science.287.5451.303">(Ye et al., 2000)</a>, | + | <a style="padding: 0" href="https://doi.org/10.1126/science.287.5451.303">(Ye et al., 2000)</a>, |
which produces a precursor of vitamin A. The deficiency of vitamin A is estimated to kill more than half a | which produces a precursor of vitamin A. The deficiency of vitamin A is estimated to kill more than half a | ||
million | million | ||
children under the age of 5 each year | children under the age of 5 each year | ||
− | <a href="https://doi.org/10.1016/S0140-6736(07)61690-0">(Black et al., 2008)</a> | + | <a style="padding: 0" href="https://doi.org/10.1016/S0140-6736(07)61690-0">(Black et al., 2008)</a> |
and cause another half million irreversible cases of childhood blindness | and cause another half million irreversible cases of childhood blindness | ||
− | <a href="https://www.ncbi.nlm.nih.gov/pubmed/1600583">(Humphrey, West, & Sommer, 1992)</a>.</p> | + | <a style="padding: 0" href="https://www.ncbi.nlm.nih.gov/pubmed/1600583">(Humphrey, West, & Sommer, |
+ | 1992)</a>.</p> | ||
<p style="text-align: justify; margin-bottom: 1em;"> | <p style="text-align: justify; margin-bottom: 1em;"> | ||
<b><i>Risks of GM crops</i></b><br> | <b><i>Risks of GM crops</i></b><br> | ||
Line 383: | Line 394: | ||
products | products | ||
of the metabolism, pleiotropic effects or the disruption of natural genes in the organism | of the metabolism, pleiotropic effects or the disruption of natural genes in the organism | ||
− | <a href="https://doi.org/10.1016/j.fshw.2016.04.002">(Zhang et al., 2016)</a>. | + | <a style="padding: 0" href="https://doi.org/10.1016/j.fshw.2016.04.002">(Zhang et al., 2016)</a>. |
There have been reports on the strong allergenicity of “Starlink” maize, which is directly connected to the | There have been reports on the strong allergenicity of “Starlink” maize, which is directly connected to the | ||
inserted gene | inserted gene | ||
from Bacillus thuringiensis | from Bacillus thuringiensis | ||
− | <a href="https://doi.org/10.1016/j.toxicon.2006.11.022">(Bravo, Gill, & Soberón, 2007</a>; | + | <a style="padding: 0" href="https://doi.org/10.1016/j.toxicon.2006.11.022">(Bravo, Gill, & Soberón, |
− | <a href="https://doi.org/10.1051/agro/2010027">Sanchis, 2011</a>; | + | 2007</a>; |
− | <a href="https://doi.org/10.1146/annurev.en.39.010194.000403">Tabashnik, 1994</a>; | + | <a style="padding: 0" href="https://doi.org/10.1051/agro/2010027">Sanchis, 2011</a>; |
− | <a href="https://doi.org/10.1071/CP13167">Werth, Boucher, Thornby, Walker, & Charles, 2013)</a>. | + | <a style="padding: 0" href="https://doi.org/10.1146/annurev.en.39.010194.000403">Tabashnik, 1994</a>; |
+ | <a style="padding: 0" href="https://doi.org/10.1071/CP13167">Werth, Boucher, Thornby, Walker, & Charles, | ||
+ | 2013)</a>. | ||
Also, GM crops can have an adverse ecological influence. For example, the weed species Amaranthus palmeri | Also, GM crops can have an adverse ecological influence. For example, the weed species Amaranthus palmeri | ||
did | did | ||
evolve a | evolve a | ||
glyphosate resistance after years of glyphosate use on resistant cotton fields | glyphosate resistance after years of glyphosate use on resistant cotton fields | ||
− | <a href="https://doi.org/10.1038/497024a">(Gilbert, 2013)</a>. | + | <a style="padding: 0" href="https://doi.org/10.1038/497024a">(Gilbert, 2013)</a>. |
Another possibility is the fact, that insect resistant crops infer with ecological food webs by shifting | Another possibility is the fact, that insect resistant crops infer with ecological food webs by shifting | ||
predator prey | predator prey | ||
ratios. Moreover, targeted pests might decline and primary minor pest become major issues | ratios. Moreover, targeted pests might decline and primary minor pest become major issues | ||
− | <a href="https://doi.org/10.1007/s13197-012-0899-1">(Bawa & Anilakumar, 2013; Snow & Palma, 1997)</a>.</p> | + | <a style="padding: 0" href="https://doi.org/10.1007/s13197-012-0899-1">(Bawa & Anilakumar, 2013; Snow & |
+ | Palma, 1997)</a>.</p> | ||
<p style="text-align: justify; margin-bottom: 1em;"> | <p style="text-align: justify; margin-bottom: 1em;"> | ||
<b>Statements from Authorities</b><br> | <b>Statements from Authorities</b><br> | ||
Line 410: | Line 424: | ||
better | better | ||
informed about their use | informed about their use | ||
− | <a href="https://doi.org/10.1093/embo-reports/kve142">(Marris, 2001)</a>. | + | <a style="padding: 0" href="https://doi.org/10.1093/embo-reports/kve142">(Marris, 2001)</a>. |
For this reason, an overview of institutional statements might be appropriate.<br> | For this reason, an overview of institutional statements might be appropriate.<br> | ||
The European Commision (EC) published the book “A decade of EU-funded GMO research”. Within this endeavor | The European Commision (EC) published the book “A decade of EU-funded GMO research”. Within this endeavor | ||
Line 426: | Line 440: | ||
se more | se more | ||
risky than e.g. conventional plant breeding technologies.” | risky than e.g. conventional plant breeding technologies.” | ||
− | <a href="https://op.europa.eu:443/en/publication-detail/-/publication/d1be9ff9-f3fa-4f3c-86a5-beb0882e0e65">(Publications | + | <a style="padding: 0" |
+ | href="https://op.europa.eu:443/en/publication-detail/-/publication/d1be9ff9-f3fa-4f3c-86a5-beb0882e0e65">(Publications | ||
Office of the European Union, 2010)</a><br> | Office of the European Union, 2010)</a><br> | ||
The National Academy of Sciences founded by the U.S. Congress summarize in their comprehensive report, that | The National Academy of Sciences founded by the U.S. Congress summarize in their comprehensive report, that | ||
Line 441: | Line 456: | ||
safe than | safe than | ||
foods from non-GM crops. | foods from non-GM crops. | ||
− | <a href="https://doi.org/10.17226/23395">(Read "Genetically Engineered Crops, n.d.)</a><br> | + | <a style="padding: 0" href="https://doi.org/10.17226/23395">(Read "Genetically Engineered Crops, |
+ | n.d.)</a><br> | ||
The British Royal Society states the following to the question “Is it safe to eat GM crops?” on its website: | The British Royal Society states the following to the question “Is it safe to eat GM crops?” on its website: | ||
“Yes. | “Yes. | ||
Line 459: | Line 475: | ||
crop | crop | ||
varieties at least as safe to eat as new non GM varieties, which are not tested in this way.” | varieties at least as safe to eat as new non GM varieties, which are not tested in this way.” | ||
− | <a href="https://royalsociety.org/topics-policy/projects/gm-plants/is-it-safe-to-eat-gm-crops/">(‘Is it safe | + | <a style="padding: 0" |
+ | href="https://royalsociety.org/topics-policy/projects/gm-plants/is-it-safe-to-eat-gm-crops/">(‘Is it safe | ||
to | to | ||
eat GM crops?’, n.d.)</a> | eat GM crops?’, n.d.)</a> | ||
Line 480: | Line 497: | ||
<br> | <br> | ||
</p> | </p> | ||
− | + | </article> | |
</section> | </section> | ||
<hr> | <hr> | ||
Line 1,292: | Line 1,309: | ||
In late august Margarete Schwarz paid us a visit, curious about how the plasmid purification with | In late august Margarete Schwarz paid us a visit, curious about how the plasmid purification with | ||
Promegas Kit would perform and look like in the OT-2. We were also asked to write a <a | Promegas Kit would perform and look like in the OT-2. We were also asked to write a <a | ||
+ | style="padding: 0" | ||
href="https://www.promegaconnections.com/it-takes-a-village-automating-plasmid-purification-for-igem/">blog | href="https://www.promegaconnections.com/it-takes-a-village-automating-plasmid-purification-for-igem/">blog | ||
post</a> about | post</a> about | ||
our thoughts and progress on automating plasmid purification for the Promega Connections Blog.<br> | our thoughts and progress on automating plasmid purification for the Promega Connections Blog.<br> | ||
<br> | <br> | ||
− | By the end of this iGEM year we were able to develop a <a | + | By the end of this iGEM year we were able to develop a <a style="padding: 0" |
href="https://2019.igem.org/Team:Marburg/Miniprep">working protocol</a> for the single-channel | href="https://2019.igem.org/Team:Marburg/Miniprep">working protocol</a> for the single-channel | ||
pipette for up to 6 samples, as well as a protocol for the 8-channel pipette for up to 48 samples.<br> | pipette for up to 6 samples, as well as a protocol for the 8-channel pipette for up to 48 samples.<br> |
Revision as of 22:10, 21 October 2019
H U M A N P R A C T I C E S
Human Practices
Report on Genetic Engineering
Genetic engineering has been a hotly debated topic in politics as well as society in the past decades and
still is today.
Arguments like the nutrition of a growing world population due to a declining infant mortality rate or the
loss of
considerable areas of arable land due to erosion or pollution damage keep fueling the debate whether
genetically modified
organisms (GMO), especially crops, are needed to sustain the global demand for food. On the opposite, concerns
have been raised
concerning the potential adverse effects on human health and environmental safety. Besides the facts, part of
the public debate
is based around ethical questions and trust issues towards institutions and authorities. There have been
studies and surveys
carried out addressing many of these topics and additionally a diverse cluster of organisations and the media
is bombarding the
public with contrary statements. This report tries to give an overview on humanities relation to changing
genetics, a brief
summary of used methods, and gathers statements from scientists and authorities. It is meant as the
motivational basis for this
years Marburg iGEM team´s Public Engagement and Human Practice efforts.
History of Genetic Modification
Our ancestors had no conception of genetics but still were able to influence the genes of multiple
organisms.
It is a
process known to everybody called artificial selection or selective breeding. Those individuals with the
most
desirable traits,
like the biggest and most delicious fruits or the highest loyalty, is chosen to propagate and produce
offspring. This process
is repeated over several generations and the result is an organism with the selected traits. The dog,
existing
today in many
#variations, is believed to be the organism our ancestors selectively bred first at around 32,000 years
ago (Zimmer,
2013). And there are many more instances like corn which originates from a grass called teosinte with
very few kernels (‘Evolution of Corn’,
n.d.). However, this process is not considered GMO technology today. What we understand under genetic
modification today can be traced back to
the mid 1900´s
when scientists discovered that genetic material can be transferred between different species
(Avery, MacLeod, & McCarty, 1944),
the structure of genetic material was identified as a double helix (Crick, Watson, & Bragg, 1954), the genetic code was
deciphered (Nirenberg, Matthaei,
Jones, Martin, &
Barondes, 1963) and finally a DNA recombinant technology was described (Cohen, Chang, Boyer, & Helling, 1973). Only a few
decades after these
ground-breaking discoveries were made, the first
genetically modified (GM) plants were produced in 1983, which were antibiotic resistant tobacco and petunia
(Bevan & Chilton, 1982; Fraley,
1983; Herrera‐Estrella
et al., 1983).
Soon, the first GM plants were commercialized: in the
early 1990´s China approved modified tobacco and in 1994 the United States Food and Drug Administration
(U.S.
FDA) approved
the “FLAVR SAVR” tomato which was modified to have a longer shelf live by delaying ripening. Today numerous
GM
plants exist
and are in use, covering popular fruits like papaya, melon and apple, flowers like roses, feed plants like
sugar beet,
vegetables like tomato, maize and potato and even cotton for clothes production
(‘GM Crops
List—GM Approval
Database | ISAAA.org’, n.d.).
Current numbers on GM crops
World
As stated above, many GM crops are relevant for food production today, be it indirectly for
feed in
production lines or directly as consumables. In 2018, 26 countries planted 191.7 million hectares worldwide
with GM crops,
which is an increase of 1% from 2017´s worldwide planted area. Accordingly, since its first
commercialization
in 1996 with
1.7 million hectares planted, GM crop area increased by an approximate 113-fold. The accumulated area
planted
with GM crops
from 1996 to 2018 was 2.5 billion hectares. This makes biotechnology the fastest adopted crop technology in
the world. Of
the 193 member nations of the United Nations Organisation (UNO) 42 nations plus the European Union (EU)
adopted GM crops,
of which 26 countries (21 developing and 5 industrial) planted and 44 imported GM crops. The four major GM
crops, namely
soybeans, maize, cotton and canola, occupied 99% of the GM crop area (Figure 1). GM crops share in total
crop
area was 78%
for soybeans, 76% for cotton, 30% or maize and 29% for canola. 42% of the global GM crop area was planted
with
stacked trait
crops tolerant to various herbicides and pesticides. Around the world the GM crop area was unevenly
distributed with the top
five countries United States of America (USA), Brazil, Argentina, Canada and India planting 91% of the
global
GM crop area.
In the EU, the two nations Spain and Portugal planted the GM crop MON810, which is an insecticide resistant
maize, together
covering 120.990 hectares. 95% of the area was planted by Spain. From 2017 to 2018 GM crop area in the EU
has
decreased by
8% from 131.535 hectares (Figure 2). Nevertheless the EU imported GM crops, roughly 30 million tons of
soybean
products,
10 million tons of maize and 2.5 million tons of canola originating from Argentina, Brazil and the USA.
Since
1992, across
the world 4.349 approvals to GM crops have been issued, of this being 2.063 for food, 1.461 for feed use and
825 for
cultivation
(‘ISAAA Brief 54-2018: Executive Summary | ISAAA.org’, n.d.).
Germany
In Germany, there is no more GM crop farming since 2012. GM maize has been planted last in 2008
(3.171 hectares, 0.15% of total maize area in Germany) and GM potatoes have been planted last in 2011
(2 hectares, 0.0008% of total potato area in Germany). GM crop area never made up more than 0.02% of land
used
by
agriculture in Germany
(‘Gentechnik’, n.d.).
Modern Methods in Breeding
The traditional way of breeding, as explained above, although generating many domestic plants and animals,
is
relatively
slow and limited by the available traits individuals express. Modern breeding methods enhance the trait
spectrum and the pace
in which new traits can be discovered and implemented to crops or animals.
Plant Mutagenesis
As it is known that practical breeding depends on genetic variation plant mutagenesis expands the
variability of
traits.
Variations found in nature do not represent the original spectra of spontaneous mutation due to the fact
that
they are
recombining within populations and interacting with environmental factors. In the process of mutagenesis
heritable changes
occur in the genetic information induced by mutagenic agents called mutagens. These mutagens can be of
chemical,
for
instance substances interacting with the DNA, or of physical origin, such as ionizing radiation
(Oladosu et al., 2016).
After using the mutagen on the crops, mostly seeds, seedlings or cell cultures from which single cells can
be
grown out,
screening has to be done to see if changes in traits have been achieved by mutations. These mutations can be
DNA
double
strand breaks, single base exchanges or alkylation of bases. In most cases, generated mutants are
heterozygous,
because
the mutation happened in only one allele. Therefore the breeder needs to rear subsequent generations to
evaluate
recessive
mutations. Selection then takes place in form of phenotypical, physical or molecular test to determine for
instance plant
height, earliness of maturity and biochemical composition. Mutagenesis breeding has impacted agriculture
massively, with
more than 3.300 entries to the Mutant Variety Database
(‘Mutant
Variety Database’,
n.d.),
covering all major food and feed crops.
Genetic Engineering
This term is used to describe methods which alter the genetic makeup of an organism using DNA recombinant
technology.
This technology resorts to enzymatic tools called restriction enzymes. These cut the DNA site specific and
can
thereby
isolate genetic constructs coding for desirable traits. When gene(s) are introduced into an organism this
can be
achieved
either directly or indirectly. The direct approach utilizes a method called microparticle bombardment
(Sanford, 1990).
Developed in the 1980´s, engineered DNA is coated on microparticles of either gold or tungsten and then
shot with high velocity at the target organism using high pressure helium gas. The DNA fragments can then be
incorporated
into the organism’s genetic material. There are other direct methods such as electroporation or
microinjection
but particle
bombardment is the most effective. The indirect approach makes use of a vector: the soil bacterium
Agrobacterium
tumefaciens
naturally infects plants and alters its hosts genome via a plasmid called Ti-plasmid. This plasmid can be
engineered to carry
genes coding for a desired traits instead of its natural genes for infection. With the development of a
method
called
CRISPR/Cas9 and other variants genetic engineering in plants got much easier
(Cong et al., 2013;
DeMayo & Spencer, 2014;
Ran et al., 2013).
This system is found in bacteria where it serves as a defence mechanism against viruses. The endonuclease is
guided to its
target cutting site via a guide mRNA where it induces a double strand break (DBS). The DBS can be repaired
in
two distinct
ways. Non-homologous end joining leads to a small deletion while homologous recombination allows for the
integration of
donor DNA into the endogenous DNA. Thereby, the CRISPR method allows for small alteration or hole gene
insertions at target
sites.
At this point it may be appropriate to introduce the two terms “cisgenic” and “transgenic”. While
“transgenic”
refers to organisms in which genetic material outside the species boundary, originating from a donor
organism
which is
sexually incompatible to the engineered organism, has been inserted.“Cisgenic” on the contrary describes
genetic
modifications within the boundaries of sexual compatibility. Therefore, cisgenic plants are similar to
traditionally bred
plants (Schouten, Krens, & Jacobsen,
2006). The most
obvious example
of transgenic plants are the many varieties of so
called “Bt” crops. Standing for Bacillus thuringiensis, into these plants a gene from the bacterium was
integrated which
leads to the production of a crystal protein that is toxic to specific pest insects
(‘Insecticidal
Plants’, 2015).
Opinions on GMOs
There are many scientific publications evaluating specific GMO traits towards the environment and health
safety.
Additionally many reviews exist summarizing GMO effects to a much broader scale possible here
(Bawa & Anilakumar, 2013;
Nicolia, Manzo, Veronesi, &
Rosellini, 2014;
Snell et al., 2012;
Zhang, Wohlhueter, & Zhang,
2016).
In many of these, authors conclude that the application of GMO offers great opportunities but still has to
be
carried out
with precautions. A simple “yes” or “no” cannot be given
(Zhang et al., 2016). Still, due
to the partly
contradictory
evidence, it cannot be said there is a consensus among scientists, according to
Hilbeck et al., 2015.
Benefits of GM crops
Humanity faces several challenges in the coming decades. Among them are the increasing world population, a
decrease of
arable land or the bottleneck of traditional breeding methods
(Zhang et al., 2016).
To all of these, GMOs pose a genuine answer. The easiest way to produce more food for a growing population
is to
increase
productivity by earlier maturity, easier harvesting, processing and cultivation. Adding to that, if we
resorted
to
organically producing todays yields, humanity would need to cultivate an additionally 3 billion hectares,
which
is the
equivalent to the size of two South America’s
(‘Time to call
out
the anti-GMO conspiracy theory – Mark Lynas’, n.d.).
But food also needs to become nutritious. A good example here is “Golden Rice”
(Ye et al., 2000),
which produces a precursor of vitamin A. The deficiency of vitamin A is estimated to kill more than half a
million
children under the age of 5 each year
(Black et al., 2008)
and cause another half million irreversible cases of childhood blindness
(Humphrey, West, & Sommer,
1992).
Risks of GM crops
GMOs pose risks to its consumer as do crops deriving from traditional breeding. Major risks are toxicity,
allergenicity and genetic hazards emerging from the inserted or altered gene itself, the expressed protein,
products
of the metabolism, pleiotropic effects or the disruption of natural genes in the organism
(Zhang et al., 2016).
There have been reports on the strong allergenicity of “Starlink” maize, which is directly connected to the
inserted gene
from Bacillus thuringiensis
(Bravo, Gill, & Soberón,
2007;
Sanchis, 2011;
Tabashnik, 1994;
Werth, Boucher, Thornby, Walker, & Charles,
2013).
Also, GM crops can have an adverse ecological influence. For example, the weed species Amaranthus palmeri
did
evolve a
glyphosate resistance after years of glyphosate use on resistant cotton fields
(Gilbert, 2013).
Another possibility is the fact, that insect resistant crops infer with ecological food webs by shifting
predator prey
ratios. Moreover, targeted pests might decline and primary minor pest become major issues
(Bawa & Anilakumar, 2013; Snow &
Palma, 1997).
Statements from Authorities
The Public Acceptance of Agricultural Biotechnologies (PABE) project revealed a range of questions
concerning
rather institutional considerations of the public, such as who is befitting from GMO use, by whom
consequences
have
been evaluated, if authorities have enough power to regulate large companies and why the public has not been
better
informed about their use
(Marris, 2001).
For this reason, an overview of institutional statements might be appropriate.
The European Commision (EC) published the book “A decade of EU-funded GMO research”. Within this endeavor
more
than
200 million Euro of research grants were spent to evaluate GMO´s in areas such as environmental impact, food
safety,
biomaterials and biofuels and risk assessment and management. It conclusively states: “The main conclusion
to be
drawn from the efforts of more than 130 research projects, covering a period of more than 25 years of
research,
and
involving more than 500 independent research groups, is that biotechnology, and in particular GMOs, are not
per
se more
risky than e.g. conventional plant breeding technologies.”
(Publications
Office of the European Union, 2010)
The National Academy of Sciences founded by the U.S. Congress summarize in their comprehensive report, that
large
numbers of animal feeding studies provided reasonable evidence that animals were not harmed by food derived
from
GM crops,
although admitting some studies were not designed optimal. Furthermore, long-term data in livestock health
before and
after GM crop introduction did not show adverse effects associated with the crops. And at last,
epidemiological
data on
cancer and human health over time was revised but no substantiated evidence was found that GM crops are less
safe than
foods from non-GM crops.
(Read "Genetically Engineered Crops,
n.d.)
The British Royal Society states the following to the question “Is it safe to eat GM crops?” on its website:
“Yes.
There is no evidence that a crop is dangerous to eat just because it is GM. There could be risks associated
with
the
specific new gene introduced, which is why each crop with a new characteristic introduced by GM is subject
to
close scrutiny.
Since the first widespread commercialisation of GM produce 18 years ago there has been no evidence of ill
effects linked to
the consumption of any approved GM crop.” Before new GM foods are permitted to the market a variety of test
has
to be
completed and the results are used by the authorities to determine the safety of the GM product, making “new
GM
crop
varieties at least as safe to eat as new non GM varieties, which are not tested in this way.”
(‘Is it safe
to
eat GM crops?’, n.d.)
Conclusion
As biologists, using genetic engineering methods every single day, they are quite natural to us.
Nevertheless,
we are
confronted with the public debate too. Having experienced the public aversion towards GMO ourselves and
having
red about
the many proposed justifications against it we realized that a direct exchange between the public and
experts
from all
fields as well as diverse interest groups might provide a good common ground for an open discussion. In this
way
we hoped
the perspective of being indoctrinated reflected my public studies might be avoided.
N I N A
S C H E E R
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Nina Scheer
Burning forests, melting ice. With greenhouse gases as a global threat to our climate we need a
multitude of ways to solve this issue. One of the biggest challenges in the future will be
nutrition: the UN expects the world population to rise to 10 billion by 2050. Without genetically
engineered crops it will be very hard to nourish such a huge population.
We met Nina Scheer from the Social Democratic Party of Germany (SPD) one month before our panel
discussion to bring politics and science closer together. In particular, we discussed green genetic
engineering. Like most of germany’s political parties Nina Scheer and the SPD are in suspicion about
genetic engineering. A general fear for possible consequences is holding innovation at stagnation,
preventing any further development and leaving important key technologies to global competitors.
As we told Scheer about our project she was convinced of our good spirit and supported the idea that
the state should put more money into research, rather than us relying on third-party funds.
Nonetheless did Scheer see a trust issue concerning irreversible damages to nature and humankind as
well as a lack of good control mechanisms when using green genetic engineering. At the example of
Contergan® Scheer highlighted the challenges of uncertainty. We learned that we as scientists have
the duty to proof the unmitigated safety of our products and beyond that not only proof it to our
own community but also to bring this trust to society as a whole if we want our research to have an
impact on reality.
We thank Nina Scheer for this opportunity to discuss major issues of our time.
P L A N T M A R K E T
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Plant Market
Abstract?
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P A N E L D I S C U S S I O N
Our team has organized a panel discussion to see how experts from various fields and the regional population feel about green genetic engineering.
Genetic engineering panel discussion report: Blessing or curse
Genetic engineering has been a hotly debated topic in politics as well as in society in the past
decades and still is today. New methods in Genome Editing (GE) are making the regulation of methods
more and more important due to the increased difficulty to identify changes in the genetic material
of manipulated organisms. The European Court of Justice (ECJ) ruling on GE of July 2018 pleased the
interest groups of genetic engineering sceptics, but disappointed the research community to a large
extent. The panel discussion organised by the iGEM team Marburg 2019 with participants from plant
breeding research, industry, ethics research and genetic engineering critics should give the public
an insight into the different breeding methods and the according viewpoints of different
stakeholders. After a keynote lecture by biochemist Prof. Dr. Lars-Oliver Essen from Philipps
University in Marburg the panel discussion started. It was moderated by Michael Lange of "Forschung
aktuell" from Deutschlandfunk and team member Paula Mueller. The energetic audience, in which all
age groups were represented, soon actively took part in the discussion, asked questions and
criticized statements of the discussants on stage.
In his keynote lecture, Prof. Dr. Lars-Oliver Essen tried to convey the scientific context of the
evening to the audience. Using various common plants, such as bananas and carrots, he illustrated
the products of classical breeding methods through human selection. All the species mentioned above
originate from primitive types, which differ from today's food plants, for example by an enormously
lower proportion of fruit flesh. He then outlined the differences between more modern breeding
methods such as chemical mutagenesis or radiation and genetic tools such as the headline-making
CRISPR genetic scissors. At the end of his keynote lecture, Prof. Dr. Essen outlined the ECJ ruling
of July 2018 and gave an outlook on topics that influence the genetic engineering discussion, such
as the population growth of mankind and the patenting of modern genetic engineering methods as well
as the resulting products.
Most of the panelists agreed that genetic engineering offers opportunities, especially in
agriculture, to address challenges such as climate change or the nutrition of the growing world
population. According to the introductory statement of Prof. Dr. Andreas Weber from the Plant
Science Excellence Cluster at Heinrich-Heine University in Düsseldorf, methods of genetic
engineering such as CRISPR are already established tools and have no cause for concern, particularly
in basic research. But subsequently, modified organisms cannot be tested in the field under natural
conditions. However, the objective testing and checking of modified plants is a problem, because
often independent testing organisations would not have access to certified seeds and the complete
data used in the designing process, replied Dr. Christoph Then from testbiotech e.V.
It was also discussed whether the product or the manufacturing process should serve as the basis for
evaluation. Since a plant modified by GE methods cannot be distinguished from a plant cultivated by
established breeding methods, the product should be the basis of the review, argued Daniel
Stukenberg, representative of the party "The Humanists". A point of view with a drastically
different background, here represented by ethics professor Dr. Friedemann Voigt, put the consumer in
the foreground and demanded its right to know how a food is produced. This led the discussion
further in the direction of the effects of genetically modified feed on farm animals and the human
consumer. At this point, Dr. Christoph Then criticised the sharp decline in risk research, which
pursues society's protective goals with regard to health.
The podium also separated into simple gene edited and transgenic organisms. While gene edited plants
do not contain genes from foreign organisms, such genes in transgenic plants can, for example,
provide certain ingredients that make them resistant to pests or insecticides/herbicides. Transgenic
plants must be assessed with special attention and in each unique case, since the individual
composition of the ingredients is specific for each modified organism. This point also met with the
approval of the audience, which was expressed by strong applause. Transgenic plants could not
develop in a natural way and should therefore not be used in agriculture. At the moment, however,
the use of genetically modified plants in organic farming is also not in compliance with the
regulations, according to Freya Schäfer of FiBL (Research Institute of Organic Agriculture).
Prof. Dr. Friedemann Voigt continued to ensure the ethical part of the discussion. He noted that
compared to the rest of the world, there is a certain mistrust towards genetic engineering,
especially in Europe. One had to estimate the risks against the opportunities, whereby he mainly
identified an acceptance problem in the population, which could not be met scientifically. However,
there is not only distrust of genetic engineering, but also of the economic motivation to use it.
Dr. Claus Kremoser expressed concerns about seed companies with patent monopolies that could promote
large monocultures. Nevertheless, the development and application of genetic engineering is strongly
dependent on the respective motivation: patents are the driving force in the industry while in the
scientific community it is the pressure to publicise. Too strict and thus very costly requirements
for the testing of genetically modified organisms make it impossible for small companies to
participate in the competition. Consequently, strong regulation would lead to a few large
monopolies.
The discussion ended with the consensus that genetic engineering in agriculture should be regulated
responsibly and objectively. However, due to ideological blockades and diffuse fears in society and
among political influencers, a meaningful willingness to compromise was very low.
Integrated Human Practices
C Y A N O
B I O T E C H
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Cyano Biotech
Cyano Biotech is one of the leading, top edge companies to work with sustainable and product-oriented
phototrophic bacteria in Germany. As a shining figure in cyanobacterial metabolic engineering, the CEO
of Cyano Biotech Dr. Dan Kramer talked with us about the possibilities of our project. His feedback led
us to the design of adjusting specific parameters in our growth experiment and to the integration of our
terminator library. Through our talk with a potential end user of our Green Expansion and our engineered
strains, we achieved a more “real-world” focus of our project.
As our project was in its beginning, one thing was clear: high throughput methods are essential for any
viable chassis in Synthetic Biology. Sadly, we quickly notice obstacles in our way, such as inhibited
growth in our plates compared to flasks. In consequence of that, we looked for help and who would be
better, than a expert on that specific field? We talked with Dan Kramer and he kindly provided us with
Data in his own well plate experiments. Soon we notice, that he inoculated cultures several times in a
row out of the exponential phase, leading to a huge boost in doubling times. Through this support we
were able to design and conduct a growth curve with as much as five pre cultures.
Aside from that, we talked about another facet of our project.
Again the strong impact of terminators, through its shadow above our talk. Yet another expert in the
field of cyanobacteria, stating that in his nearly half a decade of research life that terminators are
easily overread in cyanobacteria, both metaphorically and for real, and are one of the most important
regulatory genetic elements. As he was found of our idea to set on the search for the best terminator,
he strongly encourage us to utilize the Green Expansion to the full extent. So we set to the journey of
called for a terminator library.
P R O F. D R.
A N N E G R E T W I L D E
Cultivation expertise from leading cyano scientist Prof. Wilde
Cultivation expertise from leading cyano scientist Prof. Wilde
While working with the cyanobacterium Synechococcus elongatus UTEX 2973 we noticed a lack of
standardization in the field of Synthetic Biology very quickly. To tackle this huge problem, we
decided to focus as one of our main goals on standardization to make scientific results more
comparable. Therefore, we worked on standardizing light measurement, cultivating parameters
(temperature, CO2, rpm, …) and the cultivation media for cyanobacteria, especially UTEX 2973.
During the theoretical planning of our project we contacted scientists in research and industry that
are specialists for cyanobacteria. As a result, Prof. Dr. Annegret Wilde (Institute of Biology,
Albert-Ludwigs-University Freiburg) answered our call and was very interested in advising us in
regards to our projects. In order to give us an introduction to the handling of cyanobacteria, she
invited us to her institute at the University of Freiburg on 5th and 6th June 2019. In a short and
focused internship we were able to quickly gain a set of core competencies regarding sterile
inoculation, streaking of cyano cultures and further information regarding the cultivation conditions
which we applied to our strain.
In addition, we also learned that the measurement of light intensity is an important topic. There is a
variety of measuring instruments and different methods for each, which means that information on light
intensities should be viewed with caution. For cyanobacteria such as Synechococcus elongatus UTEX 2973
light intensity plays a decisive role, which is why we analysed differences between a variety of
instruments and methods to establish a standard for light measurement based on our results. (LINK
Light measurement).
In further discussions about our Marburg Collection 2.0 we were recommended to take a very close look
at terminators as they oddly enough have an effect on the transcription of upstream genes. As a
result, we decided to take a closer look at that and investigated their effects. We thank Professor A.
Wilde for her input, her invitation to Freiburg and her recommendations that guided us in our project.
(LINK terminators??)
D O U L I X
Another justification for real case use for our colony picking project.
Doulix
The vision of automating colony picking has existed now for many years. Big companies like Tecan, Singer Instruments or Hudson Robotics invented robots those are able to identify and pick colonies. The problem is that they cost a fortune, starting at 50,000€ up to 100,000€ or even more. Although it is highly desired, a low cost solution is still missing for this tedious task. Start-ups like Doulix are currently automating such workflows in their laboratories, but they do not have the funds to finance a state-of-the-art colony picking robot. By now every single step has to be performed manually, draining resources from other departments, which actually should be paid more attention to. “Colony picking is a bottleneck in every of part our workflows” says Davide De Lucrezia, the founder and managing director of Doulix. Doulix focuses on developing innovative technologies for scientists to simplify their work, especially in the field of synthetic biology, and they are currently planning on establishing Opentrons OT-2 in their lab to automate the most part of their workflows.
During an online conference with Davide De Lucrezia, Sota Hirano, and Alessandro Filisetti from Doulix, Davide suggested that turning the OT-2 into a colony picker as a project would be really interesting. To have a fully trained, ready to use package to turn the OT-2 into a colony picker would enhance the workflow at Doulix tremendously. Nevertheless, to suit the user needs as well as to get this job done in the spirit of Opentrons, installing the needed add-ons should be as modular and flexible as possible and designed so that “even a biologist” without technical knowledge or programming would be able to install and use them.
That is where our team came into play. We decided to take this advice to our heart and started to work out what was needed to turn the OT-2 into a fully automated colony picking robot.
One of the first big design questions was whether we wanted to hardcode an image recognition
software for the colony detection or if it was a better choice to train a data hungry but - given
proper and enough training data - more accurate and scalable artificificial intelligence based
colony detection. Kristin Ellis, the director of strategic initiatives at Opentrons referred us to
Keoni Gandall from Stanford, a well known tinker of the OT-2 for more unconventional applications.
He is building a colony picking system himself, however he chose not to rely on an AI. He
recommended us to go with AI he thinks his approach is very prone to changes in parameters. If many
different users want to utilize the same system, a flexible software is required that can take
environmental changes into account. We decided to opt for maximum flexibility by working with an
AI.
Now that we had an idea of the required software we started to design modular hardware to overcome
potential problems in a fully automated workflow in the OT-2 (LINK see Colony Picking and
Hardware). To illuminate the agar plates in the right way without any distortions we
engineered a light table that distributes light equally over the plate.
To give an “eyesight” to the OT-2 we mounted a Raspberry Pi 4 and an ArduCAM on the OT-2 arm. For a
better accessibility we created our Graphical User Interface for Directed Engineering (GUIDE). We
designed our GUI in a way that will enable every user to train their own AI with their own training
data set so that the AI can be optimized for each specific situation. Moreover the GUI will also
enable access to users that are not trained in computer/ software engineering.
Now that we gave our robot the ability to see, to think and to communicate with us, nothing stood in
the way of our own colony picker. We are now able to turn the OT-2 into a colony picker costing
below $300 (LINK TO COLONY PICKING COST REPORT TABLE). Moreover, for companies, teams or
groups who do not own an OT-2 yet, we were able to reduce the costs for purchasing a colony picker
by 90-95%, compared to the listed market prices for traditional colony pickers.
Finally we contacted Doulix the second time to discuss in more details about our project. They
approved it and gave further suggestions such as “live training” so that the AI will continue to
learn as it is being used to pick up colonies. Not only will this improve the AI gradually but it
will also adapt to the specific needs of each user. This leaves a lot of room to improve the project
in the future.
S T A N D A R D I Z A T I O N
I N C Y A N O C O M M U N I T Y
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Standardization in Cyanocommunity
During our visit at the Cyano Conference 2019 in Tübingen we recognized a need for standardization in
this community (link expert talk). We asked people to send us their BG-11 recipes and
surprisingly
received several different versions. The community at the conference is aware of the missing
standardization and we received very positive feedback for our efforts. Fixed standards are essential
for reproducibility of results, especially the preparation of media and buffers but no one is
investing time to set a standard. After the cyano conference we stayed in contact with Nicolas
Schmelling, coordinator of the bachelor program at CEPLAS. During his PhD he was working on
establishing more standards in the cyano community. He tried to establish protocols and collected
different methods and recipes to establish a standard for all.
After he clarified us the importance of comparable media in context of standards, we started to
collect different BG11 recipes and compared them in growing experiments. The following graphic
represents our results and shows the impact of different recipes for media.
In our experiment we could show that there is a significant difference between the different BG11
recipes despite their relative similarity. During our complete project we were working on the
standardization for light intensity, media and different cultivating parameters (Link growth curve
and
measurement). We made it our destiny to make the first step into the beginning of
standardization in
the cyano community by providing/establish Synechococcus elongatus with standardized
parameters. We
were able to find the optimal growing conditions for UTEX 2973 and could show that creating a standard
in measurement and methods is really important to have comparable results. With our project we hope
that we could set a first step into standardization, so that the future cyano community will have
standardized and comparable results.
C Y A N O
C O N F E R E N C E 2 0 1 9
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The CYANO 2019 - Standardizing Synthetic Biology
From September 11th to September 13th we attended the CYANO Conference 2019 in Tuebingen funded by
the VAAM (Vereinigung für Allgemeine und Angewandte Mikrobiologie). During the poster sessions we
took the chance to present our project and how we revolutionize the upcoming work on phototrophic
organisms. Therefore, we gained great feedback from the participants, which showed huge interest in
our toolbox specified for cyanobacteria. Our Synthetic Biology approaches encountered the thinking
of classical cyanobacterial research which lead to interesting discussions from which we gained a
lot of input. Furthermore, the leading experts of cyanobacteria offered talks where we learned how
to modify working on Synechococcus elongatus.
We were especially interested in the discussions about methods. We soon realized that the
cyanobacterial scene has no standardized protocols for daily laboratory practices and they are also
aware of that issue. This started with debates about the media composition of BG-11 media but also
concerned issues like standardized evaluation of light conditions. With our project for
standardizing growth conditions and providing a part collection we tackle these major issues for
scientists studying phototrophic organisms.
Caused by our thrive for standardization as synthetic biologist, we decided to make a small study in
the cyano community about standards in handling of cyanobacteria [link standards in cyano
community]. Due to the results we know about the importance of our intention and will take
the first step for creating a standard for working with cyanobacteria in synthetic biology.
E X P E R T O N C Y A N O S
J A M E S G O L D E N
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Expert on Cyanos - James Golden
While diving deeper and deeper into the ocean of possibilities that cyanobacteria have to offer we
noticed a few inconsistencies in literature.
BG11 media is commonly used in cyanobacterial research, but the exact composition seemed to be
different across every second paper we read. Optical densities are more frequently measured at a
wavelength of 730nm, though 750nm seems to be the better choice. For Synechococcus elongatus
UTEX 2973
the “optimal growth conditions” according to literature are often quite different; some state 38°C and
500µE at a CO2 level of 3% fits best, others prefer 41°C and 1500µE with 5% CO2 concentration.
But how are these light intensities measured? With a planar device or a spherical one? We have not
seen this being explained in literature.
As all of these things have an incredibly huge impact on various different experiments we saw the need
to find a standardized answer to our questions, reaching out to as many experts in this field as we
could reach - whether it was industry or research.
One of the leading laboratories working with cyanobacteria is the Golden Lab of the UC San Diego.
Susan Golden and her husband James W. Golden have both been working with cyanobacteria for quite some
time, now with a stronger focus on their use for industrial purposes.
We set up a Skype call with them, but sadly Susan Golden was not able to join us on short notice.
During our talk with James W. Golden we laid open our concerns about the cyanobacterial community and
he quickly supported our train of thoughts, as he himself noticed a lack of standardization. He
assured us that this is a hot topic in this field of research, as many do not seem to care enough
about the reproducibility of their data and encouraged us to continue with our efforts.
More accurately, he talked with us about why he thinks there is still no clear decision on whether to
measure optical densities at 730nm or 750nm: It might be a technical problem, as many photometers are
simply not able to measure wavelengths of 750nm. In contrast, he mentioned that 750nm would be the
more optimal way, as it proves to minimize absorbance from pigments in cyanobacterial cells,
presenting more accurate data. This confronted us with a conflicting decision: Would it be better to
use the more accurate 750nm or 730nm, as the latter would allow more labs all over the world to
measure in the same way.
This was one of the key factors that led us to measure the whole spectrum of our cultures for our
growth curves, as this would provide a larger dataset, awarding us not just with 730nm and 750nm data,
but also the possibility to check if the spectrum shows normal behavior, from which one could conclude
how healthy the cultures are.
Another important issue we were able to discuss with Professor Golden is the composition of BG11
media. While working in our own lab we already got the notion that not all BG11 media are prepared in
the same way, which is the reason why we kindly asked other researchers - like James Golden - to send
us their recipes. In order to compare the various ways the BG11 media can be prepared, we tried those
recipes and measured growth curves to find the perfect fit.
It was clear that the growth of our cultures was comparably fast at the beginning no matter what media
was used, but one of them stood out: BGM - it enabled faster growth at higher ODs, allowing cultures
to reach double the OD of other cultures after the same time.
We are certain that having the same ideal medium throughout different cyano labs is not just elemental
for optimal growth, but also vital for comparability, as trying to reproduce the growth conditions of
papers can be quite tricky when it is not clear what exact medium was used and how it was
prepared.
This problem, as stated before, applies not only to media, but also for the measurement of light
intensities. In the beginning we measured the light intensity of our incubators with a planar
measurement device - the only one available for us. Talking to James Golden we realized that we should
try to get hold of a spherical measurement device, as he assured us that this is the way to generate
more accurate data, leading to a more reproducible setup - exactly what we were aiming for.
After acquiring such a device, we again implemented the feedback we got and measured growth curves.
One with cultures at 1500µE measured with a spherical device and one with 1500µE measured with a
planar device, where the measured intensities were converted to theoretically spherical values with a
conversion chart offered to us by Prof. Dr. Annegret Wilde from the University of Freiburg.
These experiments were a huge step in our project, as they heavily influenced the way we cultured our cyanobacteria, not only drastically improving their growth, but also clearly demonstrating how flawed certain measurements can be. We would never have been able to reach the fast doubling times we achieve now without this crucial input and as this will be the case for others too, we made it our mission to keep on stressing the importance of this way of measurement whenever we reach out to the scientific community. Again, thank you very much Prof. Dr. James W. Golden for your invaluable contribution!
O P E N T R O N
+ K E O N I
One of the earlier inspiration for our colony picking project.
Opentron + Keoni
We started with the colony picking project back in December 2018. Since from the beginning we know that we have to involve Opentrons in the conversation, because we are working on a colony picking extension module for the OT-2. We contacted Kristin Ellis from Opentrons and this turned out to be the right approach for us, because Kristin is very familiar with the OT-2 community. She has been a big help to us ever since by bridging us with Opentrons’ technical experts or other kinds of resources. At the time Kristin told us that colony picking is a big topic in the OT-2 community and gave us a few contacts, among them: Keoni Gandall.
Keoni Gandall is a bio-hacker who is determined to open source systems in Synthetic Biology. He is an avid user of the OT-2 because of the philosophy that OT-2 embodies: an affordable, and open-source pipetting robot. Colony picking is a big part of a cloning workflow, whose automation involves a lot of cost. There is yet to be an affordable solution for colony picker, and Keoni believes that OT-2 has the potential to fill this gap. When we mentioned our colony picking project to Keoni, it directly resonated with him, and this gave us an extra justification for our project: this is what the community wants and needs. We listened to the community and let it shape our project. Since then we have been keeping in touch with Keoni and exchanging tips and tricks for the OT-2.
P R O M E G A
Automating plasmid purification protocol with the OT-2.
Promega
When the iGEM year started, we thought about how we could ease the work in the lab using our OT-2. We
decided automating the cloning process would be a great idea and soon got into contact with Promega to
tell them about our vision. Margarete Schwarz, area manager of southwest germany, and Nans Bodet, a
Field Support Scientist (FSS) from the automation department at Promega, were both convinced that the
automation of the cloning workflow would be a challenge, but with creativity and some work it would be
a major breakthrough and a great tool for everyone with access to an OT-2.
In a skype call both agreed that they would love to see Promegas Wizard® MagneSil® Plasmid
Purification System integrated into the workflow, being Promegas very first automated workflow in
Opentrons OT-2 and the first protocol for plasmid purification in a large collection of Opentrons
protocols. Promega covered our costs in terms of kits we needed for the protocols so we could focus on
optimizing the workflow.
We performed the plasmid purification a few times manually, so we would get familiar with the whole
workflow and get a feeling where problems in the automated process could arise. We were in regular
contact with Nans and he gave great advice on how to automate the shaking process in the OT-2 and that
we would need the 8-channel pipette to scale up the number of samples that could be handled with our
protocol. For the shaker he told us to get in contact with QInstruments, a company which designs and
builds small shakers that are simultaneously capable of heating and cooling the samples. Thanks to
recommendations from Nans a member of their support team, Ralf Paetzold, wrote us back and kindly
helped us to secure a permanent loan for the BioShake D30-T elm back in June. Through a grant our team
won, we were able to purchase the 8-channel pipette arm.
When the shaker arrived, we realized it was a bit bigger than the SPS format for modules in the OT-2
and needed stabilizing support. We designed an adapter for the shaker that is robust enough to
withstand the forces that occur during intense shaking (LINK TO HARDWARE).
Furthermore, Opentron is currently rolling out a major update from their OT-2 3.9 to 4.0 firmware that
included a lot of paradigm change. This changed the way had to define our labware and we ended up
defining our shaker module coordinates as a Python dictionary importable via a .json file. After some
calibrations with our OT-2 we were trying to finish the protocol; thankfully Opentron customer service
was patient with us. They told us how to calibrate the OT-2 directly via the terminal because we had
some difficulties.
In late august Margarete Schwarz paid us a visit, curious about how the plasmid purification with
Promegas Kit would perform and look like in the OT-2. We were also asked to write a blog
post about
our thoughts and progress on automating plasmid purification for the Promega Connections Blog.
By the end of this iGEM year we were able to develop a working protocol for the single-channel
pipette for up to 6 samples, as well as a protocol for the 8-channel pipette for up to 48 samples.
We are very happy about this fruit bearing interaction, we think both sides profited from this cooperation in a big way.