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Using single‐plant‐omics in the field to link maize genes to functions and phenotypes
Most of our current knowledge on plant molecular biology is based on experiments in controlled laboratory environments. However, translating this knowledge from the laboratory to the field is often not straightforward, in part because field growth conditions are very different from laboratory condit...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7751767/ https://www.ncbi.nlm.nih.gov/pubmed/33346944 http://dx.doi.org/10.15252/msb.20209667 |
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author | Cruz, Daniel Felipe De Meyer, Sam Ampe, Joke Sprenger, Heike Herman, Dorota Van Hautegem, Tom De Block, Jolien Inzé, Dirk Nelissen, Hilde Maere, Steven |
author_facet | Cruz, Daniel Felipe De Meyer, Sam Ampe, Joke Sprenger, Heike Herman, Dorota Van Hautegem, Tom De Block, Jolien Inzé, Dirk Nelissen, Hilde Maere, Steven |
author_sort | Cruz, Daniel Felipe |
collection | PubMed |
description | Most of our current knowledge on plant molecular biology is based on experiments in controlled laboratory environments. However, translating this knowledge from the laboratory to the field is often not straightforward, in part because field growth conditions are very different from laboratory conditions. Here, we test a new experimental design to unravel the molecular wiring of plants and study gene–phenotype relationships directly in the field. We molecularly profiled a set of individual maize plants of the same inbred background grown in the same field and used the resulting data to predict the phenotypes of individual plants and the function of maize genes. We show that the field transcriptomes of individual plants contain as much information on maize gene function as traditional laboratory‐generated transcriptomes of pooled plant samples subject to controlled perturbations. Moreover, we show that field‐generated transcriptome and metabolome data can be used to quantitatively predict individual plant phenotypes. Our results show that profiling individual plants in the field is a promising experimental design that could help narrow the lab‐field gap. |
format | Online Article Text |
id | pubmed-7751767 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77517672020-12-23 Using single‐plant‐omics in the field to link maize genes to functions and phenotypes Cruz, Daniel Felipe De Meyer, Sam Ampe, Joke Sprenger, Heike Herman, Dorota Van Hautegem, Tom De Block, Jolien Inzé, Dirk Nelissen, Hilde Maere, Steven Mol Syst Biol Articles Most of our current knowledge on plant molecular biology is based on experiments in controlled laboratory environments. However, translating this knowledge from the laboratory to the field is often not straightforward, in part because field growth conditions are very different from laboratory conditions. Here, we test a new experimental design to unravel the molecular wiring of plants and study gene–phenotype relationships directly in the field. We molecularly profiled a set of individual maize plants of the same inbred background grown in the same field and used the resulting data to predict the phenotypes of individual plants and the function of maize genes. We show that the field transcriptomes of individual plants contain as much information on maize gene function as traditional laboratory‐generated transcriptomes of pooled plant samples subject to controlled perturbations. Moreover, we show that field‐generated transcriptome and metabolome data can be used to quantitatively predict individual plant phenotypes. Our results show that profiling individual plants in the field is a promising experimental design that could help narrow the lab‐field gap. John Wiley and Sons Inc. 2020-12-21 /pmc/articles/PMC7751767/ /pubmed/33346944 http://dx.doi.org/10.15252/msb.20209667 Text en © 2020 The Authors. Published under the terms of the CC BY 4.0 license This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Cruz, Daniel Felipe De Meyer, Sam Ampe, Joke Sprenger, Heike Herman, Dorota Van Hautegem, Tom De Block, Jolien Inzé, Dirk Nelissen, Hilde Maere, Steven Using single‐plant‐omics in the field to link maize genes to functions and phenotypes |
title | Using single‐plant‐omics in the field to link maize genes to functions and phenotypes |
title_full | Using single‐plant‐omics in the field to link maize genes to functions and phenotypes |
title_fullStr | Using single‐plant‐omics in the field to link maize genes to functions and phenotypes |
title_full_unstemmed | Using single‐plant‐omics in the field to link maize genes to functions and phenotypes |
title_short | Using single‐plant‐omics in the field to link maize genes to functions and phenotypes |
title_sort | using single‐plant‐omics in the field to link maize genes to functions and phenotypes |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7751767/ https://www.ncbi.nlm.nih.gov/pubmed/33346944 http://dx.doi.org/10.15252/msb.20209667 |
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