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Differentiated transcriptional signatures in the maize landraces of Chiapas, Mexico
BACKGROUND: Landrace farmers are the keepers of crops locally adapted to the environments where they are cultivated. Patterns of diversity across the genome can provide signals of past evolution in the face of abiotic and biotic change. Understanding this rich genetic resource is imperative especial...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5591509/ https://www.ncbi.nlm.nih.gov/pubmed/28886704 http://dx.doi.org/10.1186/s12864-017-4005-y |
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author | Kost, Matthew A. Perales, Hugo R. Wijeratne, Saranga Wijeratne, Asela J. Stockinger, Eric Mercer, Kristin L. |
author_facet | Kost, Matthew A. Perales, Hugo R. Wijeratne, Saranga Wijeratne, Asela J. Stockinger, Eric Mercer, Kristin L. |
author_sort | Kost, Matthew A. |
collection | PubMed |
description | BACKGROUND: Landrace farmers are the keepers of crops locally adapted to the environments where they are cultivated. Patterns of diversity across the genome can provide signals of past evolution in the face of abiotic and biotic change. Understanding this rich genetic resource is imperative especially since diversity can provide agricultural security as climate continues to shift. RESULTS: Here we employ RNA sequencing (RNA-seq) to understand the role that conditions that vary across a landscape may have played in shaping genetic diversity in the maize landraces of Chiapas, Mexico. We collected landraces from three distinct elevational zones and planted them in a midland common garden. Early season leaf tissue was collected for RNA-seq and we performed weighted gene co-expression network analysis (WGCNA). We then used association analysis between landrace co-expression module expression values and environmental parameters of landrace origin to elucidate genes and gene networks potentially shaped by environmental factors along our study gradient. Elevation of landrace origin affected the transcriptome profiles. Two co-expression modules were highly correlated with temperature parameters of landrace origin and queries into their ‘hub’ genes suggested that temperature may have led to differentiation among landraces in hormone biosynthesis/signaling and abiotic and biotic stress responses. We identified several ‘hub’ transcription factors and kinases as candidates for the regulation of these responses. CONCLUSIONS: These findings indicate that natural selection may influence the transcriptomes of crop landraces along an elevational gradient in a major diversity center, and provide a foundation for exploring the genetic basis of local adaptation. While we cannot rule out the role of neutral evolutionary forces in the patterns we have identified, combining whole transcriptome sequencing technologies, established bioinformatics techniques, and common garden experimentation can powerfully elucidate structure of adaptive diversity across a varied landscape. Ultimately, gaining such understanding can facilitate the conservation and strategic utilization of crop genetic diversity in a time of climate change. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-017-4005-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5591509 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55915092017-09-13 Differentiated transcriptional signatures in the maize landraces of Chiapas, Mexico Kost, Matthew A. Perales, Hugo R. Wijeratne, Saranga Wijeratne, Asela J. Stockinger, Eric Mercer, Kristin L. BMC Genomics Research Article BACKGROUND: Landrace farmers are the keepers of crops locally adapted to the environments where they are cultivated. Patterns of diversity across the genome can provide signals of past evolution in the face of abiotic and biotic change. Understanding this rich genetic resource is imperative especially since diversity can provide agricultural security as climate continues to shift. RESULTS: Here we employ RNA sequencing (RNA-seq) to understand the role that conditions that vary across a landscape may have played in shaping genetic diversity in the maize landraces of Chiapas, Mexico. We collected landraces from three distinct elevational zones and planted them in a midland common garden. Early season leaf tissue was collected for RNA-seq and we performed weighted gene co-expression network analysis (WGCNA). We then used association analysis between landrace co-expression module expression values and environmental parameters of landrace origin to elucidate genes and gene networks potentially shaped by environmental factors along our study gradient. Elevation of landrace origin affected the transcriptome profiles. Two co-expression modules were highly correlated with temperature parameters of landrace origin and queries into their ‘hub’ genes suggested that temperature may have led to differentiation among landraces in hormone biosynthesis/signaling and abiotic and biotic stress responses. We identified several ‘hub’ transcription factors and kinases as candidates for the regulation of these responses. CONCLUSIONS: These findings indicate that natural selection may influence the transcriptomes of crop landraces along an elevational gradient in a major diversity center, and provide a foundation for exploring the genetic basis of local adaptation. While we cannot rule out the role of neutral evolutionary forces in the patterns we have identified, combining whole transcriptome sequencing technologies, established bioinformatics techniques, and common garden experimentation can powerfully elucidate structure of adaptive diversity across a varied landscape. Ultimately, gaining such understanding can facilitate the conservation and strategic utilization of crop genetic diversity in a time of climate change. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-017-4005-y) contains supplementary material, which is available to authorized users. BioMed Central 2017-09-08 /pmc/articles/PMC5591509/ /pubmed/28886704 http://dx.doi.org/10.1186/s12864-017-4005-y Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Kost, Matthew A. Perales, Hugo R. Wijeratne, Saranga Wijeratne, Asela J. Stockinger, Eric Mercer, Kristin L. Differentiated transcriptional signatures in the maize landraces of Chiapas, Mexico |
title | Differentiated transcriptional signatures in the maize landraces of Chiapas, Mexico |
title_full | Differentiated transcriptional signatures in the maize landraces of Chiapas, Mexico |
title_fullStr | Differentiated transcriptional signatures in the maize landraces of Chiapas, Mexico |
title_full_unstemmed | Differentiated transcriptional signatures in the maize landraces of Chiapas, Mexico |
title_short | Differentiated transcriptional signatures in the maize landraces of Chiapas, Mexico |
title_sort | differentiated transcriptional signatures in the maize landraces of chiapas, mexico |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5591509/ https://www.ncbi.nlm.nih.gov/pubmed/28886704 http://dx.doi.org/10.1186/s12864-017-4005-y |
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