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Parallel engineering of environmental bacteria and performance over years under jungle-simulated conditions
Engineered bacteria could perform many functions in the environment, for example, to remediate pollutants, deliver nutrients to crops or act as in-field biosensors. Model organisms can be unreliable in the field, but selecting an isolate from the thousands that naturally live there and genetically m...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9750038/ https://www.ncbi.nlm.nih.gov/pubmed/36516154 http://dx.doi.org/10.1371/journal.pone.0278471 |
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author | Chemla, Yonatan Dorfan, Yuval Yannai, Adi Meng, Dechuan Cao, Paul Glaven, Sarah Gordon, D. Benjamin Elbaz, Johann Voigt, Christopher A. |
author_facet | Chemla, Yonatan Dorfan, Yuval Yannai, Adi Meng, Dechuan Cao, Paul Glaven, Sarah Gordon, D. Benjamin Elbaz, Johann Voigt, Christopher A. |
author_sort | Chemla, Yonatan |
collection | PubMed |
description | Engineered bacteria could perform many functions in the environment, for example, to remediate pollutants, deliver nutrients to crops or act as in-field biosensors. Model organisms can be unreliable in the field, but selecting an isolate from the thousands that naturally live there and genetically manipulating them to carry the desired function is a slow and uninformed process. Here, we demonstrate the parallel engineering of isolates from environmental samples by using the broad-host-range XPORT conjugation system (Bacillus subtilis mini-ICEBs1) to transfer a genetic payload to many isolates in parallel. Bacillus and Lysinibacillus species were obtained from seven soil and water samples from different locations in Israel. XPORT successfully transferred a genetic function (reporter expression) into 25 of these isolates. They were then screened to identify the best-performing chassis based on the expression level, doubling time, functional stability in soil, and environmentally-relevant traits of its closest annotated reference species, such as the ability to sporulate and temperature tolerance. From this library, we selected Bacillus frigoritolerans A3E1, re-introduced it to soil, and measured function and genetic stability in a contained environment that replicates jungle conditions. After 21 months of storage, the engineered bacteria were viable, could perform their function, and did not accumulate disruptive mutations. |
format | Online Article Text |
id | pubmed-9750038 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-97500382022-12-15 Parallel engineering of environmental bacteria and performance over years under jungle-simulated conditions Chemla, Yonatan Dorfan, Yuval Yannai, Adi Meng, Dechuan Cao, Paul Glaven, Sarah Gordon, D. Benjamin Elbaz, Johann Voigt, Christopher A. PLoS One Research Article Engineered bacteria could perform many functions in the environment, for example, to remediate pollutants, deliver nutrients to crops or act as in-field biosensors. Model organisms can be unreliable in the field, but selecting an isolate from the thousands that naturally live there and genetically manipulating them to carry the desired function is a slow and uninformed process. Here, we demonstrate the parallel engineering of isolates from environmental samples by using the broad-host-range XPORT conjugation system (Bacillus subtilis mini-ICEBs1) to transfer a genetic payload to many isolates in parallel. Bacillus and Lysinibacillus species were obtained from seven soil and water samples from different locations in Israel. XPORT successfully transferred a genetic function (reporter expression) into 25 of these isolates. They were then screened to identify the best-performing chassis based on the expression level, doubling time, functional stability in soil, and environmentally-relevant traits of its closest annotated reference species, such as the ability to sporulate and temperature tolerance. From this library, we selected Bacillus frigoritolerans A3E1, re-introduced it to soil, and measured function and genetic stability in a contained environment that replicates jungle conditions. After 21 months of storage, the engineered bacteria were viable, could perform their function, and did not accumulate disruptive mutations. Public Library of Science 2022-12-14 /pmc/articles/PMC9750038/ /pubmed/36516154 http://dx.doi.org/10.1371/journal.pone.0278471 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article Chemla, Yonatan Dorfan, Yuval Yannai, Adi Meng, Dechuan Cao, Paul Glaven, Sarah Gordon, D. Benjamin Elbaz, Johann Voigt, Christopher A. Parallel engineering of environmental bacteria and performance over years under jungle-simulated conditions |
title | Parallel engineering of environmental bacteria and performance over years under jungle-simulated conditions |
title_full | Parallel engineering of environmental bacteria and performance over years under jungle-simulated conditions |
title_fullStr | Parallel engineering of environmental bacteria and performance over years under jungle-simulated conditions |
title_full_unstemmed | Parallel engineering of environmental bacteria and performance over years under jungle-simulated conditions |
title_short | Parallel engineering of environmental bacteria and performance over years under jungle-simulated conditions |
title_sort | parallel engineering of environmental bacteria and performance over years under jungle-simulated conditions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9750038/ https://www.ncbi.nlm.nih.gov/pubmed/36516154 http://dx.doi.org/10.1371/journal.pone.0278471 |
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