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Identification of Crowding Stress Tolerance Co-Expression Networks Involved in Sweet Corn Yield
Tolerance to crowding stress has played a crucial role in improving agronomic productivity in field corn; however, commercial sweet corn hybrids vary greatly in crowding stress tolerance. The objectives were to 1) explore transcriptional changes among sweet corn hybrids with differential yield under...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721684/ https://www.ncbi.nlm.nih.gov/pubmed/26796516 http://dx.doi.org/10.1371/journal.pone.0147418 |
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author | Choe, Eunsoo Drnevich, Jenny Williams, Martin M. |
author_facet | Choe, Eunsoo Drnevich, Jenny Williams, Martin M. |
author_sort | Choe, Eunsoo |
collection | PubMed |
description | Tolerance to crowding stress has played a crucial role in improving agronomic productivity in field corn; however, commercial sweet corn hybrids vary greatly in crowding stress tolerance. The objectives were to 1) explore transcriptional changes among sweet corn hybrids with differential yield under crowding stress, 2) identify relationships between phenotypic responses and gene expression patterns, and 3) identify groups of genes associated with yield and crowding stress tolerance. Under conditions of crowding stress, three high-yielding and three low-yielding sweet corn hybrids were grouped for transcriptional and phenotypic analyses. Transcriptional analyses identified from 372 to 859 common differentially expressed genes (DEGs) for each hybrid. Large gene expression pattern variation among hybrids and only 26 common DEGs across all hybrid comparisons were identified, suggesting each hybrid has a unique response to crowding stress. Over-represented biological functions of DEGs also differed among hybrids. Strong correlation was observed between: 1) modules with up-regulation in high-yielding hybrids and yield traits, and 2) modules with up-regulation in low-yielding hybrids and plant/ear traits. Modules linked with yield traits may be important crowding stress response mechanisms influencing crop yield. Functional analysis of the modules and common DEGs identified candidate crowding stress tolerant processes in photosynthesis, glycolysis, cell wall, carbohydrate/nitrogen metabolic process, chromatin, and transcription regulation. Moreover, these biological functions were greatly inter-connected, indicating the importance of improving the mechanisms as a network. |
format | Online Article Text |
id | pubmed-4721684 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-47216842016-01-30 Identification of Crowding Stress Tolerance Co-Expression Networks Involved in Sweet Corn Yield Choe, Eunsoo Drnevich, Jenny Williams, Martin M. PLoS One Research Article Tolerance to crowding stress has played a crucial role in improving agronomic productivity in field corn; however, commercial sweet corn hybrids vary greatly in crowding stress tolerance. The objectives were to 1) explore transcriptional changes among sweet corn hybrids with differential yield under crowding stress, 2) identify relationships between phenotypic responses and gene expression patterns, and 3) identify groups of genes associated with yield and crowding stress tolerance. Under conditions of crowding stress, three high-yielding and three low-yielding sweet corn hybrids were grouped for transcriptional and phenotypic analyses. Transcriptional analyses identified from 372 to 859 common differentially expressed genes (DEGs) for each hybrid. Large gene expression pattern variation among hybrids and only 26 common DEGs across all hybrid comparisons were identified, suggesting each hybrid has a unique response to crowding stress. Over-represented biological functions of DEGs also differed among hybrids. Strong correlation was observed between: 1) modules with up-regulation in high-yielding hybrids and yield traits, and 2) modules with up-regulation in low-yielding hybrids and plant/ear traits. Modules linked with yield traits may be important crowding stress response mechanisms influencing crop yield. Functional analysis of the modules and common DEGs identified candidate crowding stress tolerant processes in photosynthesis, glycolysis, cell wall, carbohydrate/nitrogen metabolic process, chromatin, and transcription regulation. Moreover, these biological functions were greatly inter-connected, indicating the importance of improving the mechanisms as a network. Public Library of Science 2016-01-21 /pmc/articles/PMC4721684/ /pubmed/26796516 http://dx.doi.org/10.1371/journal.pone.0147418 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 Choe, Eunsoo Drnevich, Jenny Williams, Martin M. Identification of Crowding Stress Tolerance Co-Expression Networks Involved in Sweet Corn Yield |
title | Identification of Crowding Stress Tolerance Co-Expression Networks Involved in Sweet Corn Yield |
title_full | Identification of Crowding Stress Tolerance Co-Expression Networks Involved in Sweet Corn Yield |
title_fullStr | Identification of Crowding Stress Tolerance Co-Expression Networks Involved in Sweet Corn Yield |
title_full_unstemmed | Identification of Crowding Stress Tolerance Co-Expression Networks Involved in Sweet Corn Yield |
title_short | Identification of Crowding Stress Tolerance Co-Expression Networks Involved in Sweet Corn Yield |
title_sort | identification of crowding stress tolerance co-expression networks involved in sweet corn yield |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721684/ https://www.ncbi.nlm.nih.gov/pubmed/26796516 http://dx.doi.org/10.1371/journal.pone.0147418 |
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