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Genome wide association analysis of root hair traits in rice reveals novel genomic regions controlling epidermal cell differentiation

BACKGROUND: Genome wide association (GWA) studies demonstrate linkages between genetic variants and traits of interest. Here, we tested associations between single nucleotide polymorphisms (SNPs) in rice (Oryza sativa) and two root hair traits, root hair length (RHL) and root hair density (RHD). Roo...

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Autores principales: Hanlon, Meredith T., Vejchasarn, Phanchita, Fonta, Jenna E., Schneider, Hannah M., McCouch, Susan R., Brown, Kathleen M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9811729/
https://www.ncbi.nlm.nih.gov/pubmed/36597029
http://dx.doi.org/10.1186/s12870-022-04026-5
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author Hanlon, Meredith T.
Vejchasarn, Phanchita
Fonta, Jenna E.
Schneider, Hannah M.
McCouch, Susan R.
Brown, Kathleen M.
author_facet Hanlon, Meredith T.
Vejchasarn, Phanchita
Fonta, Jenna E.
Schneider, Hannah M.
McCouch, Susan R.
Brown, Kathleen M.
author_sort Hanlon, Meredith T.
collection PubMed
description BACKGROUND: Genome wide association (GWA) studies demonstrate linkages between genetic variants and traits of interest. Here, we tested associations between single nucleotide polymorphisms (SNPs) in rice (Oryza sativa) and two root hair traits, root hair length (RHL) and root hair density (RHD). Root hairs are outgrowths of single cells on the root epidermis that aid in nutrient and water acquisition and have also served as a model system to study cell differentiation and tip growth. Using lines from the Rice Diversity Panel-1, we explored the diversity of root hair length and density across four subpopulations of rice (aus, indica, temperate japonica, and tropical japonica). GWA analysis was completed using the high-density rice array (HDRA) and the rice reference panel (RICE-RP) SNP sets. RESULTS: We identified 18 genomic regions related to root hair traits, 14 of which related to RHD and four to RHL. No genomic regions were significantly associated with both traits. Two regions overlapped with previously identified quantitative trait loci (QTL) associated with root hair density in rice. We identified candidate genes in these regions and present those with previously published expression data relevant to root hair development. We re-phenotyped a subset of lines with extreme RHD phenotypes and found that the variation in RHD was due to differences in cell differentiation, not cell size, indicating genes in an associated genomic region may influence root hair cell fate. The candidate genes that we identified showed little overlap with previously characterized genes in rice and Arabidopsis. CONCLUSIONS: Root hair length and density are quantitative traits with complex and independent genetic control in rice. The genomic regions described here could be used as the basis for QTL development and further analysis of the genetic control of root hair length and density. We present a list of candidate genes involved in root hair formation and growth in rice, many of which have not been previously identified as having a relation to root hair growth. Since little is known about root hair growth in grasses, these provide a guide for further research and crop improvement. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-022-04026-5.
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spelling pubmed-98117292023-01-05 Genome wide association analysis of root hair traits in rice reveals novel genomic regions controlling epidermal cell differentiation Hanlon, Meredith T. Vejchasarn, Phanchita Fonta, Jenna E. Schneider, Hannah M. McCouch, Susan R. Brown, Kathleen M. BMC Plant Biol Research Article BACKGROUND: Genome wide association (GWA) studies demonstrate linkages between genetic variants and traits of interest. Here, we tested associations between single nucleotide polymorphisms (SNPs) in rice (Oryza sativa) and two root hair traits, root hair length (RHL) and root hair density (RHD). Root hairs are outgrowths of single cells on the root epidermis that aid in nutrient and water acquisition and have also served as a model system to study cell differentiation and tip growth. Using lines from the Rice Diversity Panel-1, we explored the diversity of root hair length and density across four subpopulations of rice (aus, indica, temperate japonica, and tropical japonica). GWA analysis was completed using the high-density rice array (HDRA) and the rice reference panel (RICE-RP) SNP sets. RESULTS: We identified 18 genomic regions related to root hair traits, 14 of which related to RHD and four to RHL. No genomic regions were significantly associated with both traits. Two regions overlapped with previously identified quantitative trait loci (QTL) associated with root hair density in rice. We identified candidate genes in these regions and present those with previously published expression data relevant to root hair development. We re-phenotyped a subset of lines with extreme RHD phenotypes and found that the variation in RHD was due to differences in cell differentiation, not cell size, indicating genes in an associated genomic region may influence root hair cell fate. The candidate genes that we identified showed little overlap with previously characterized genes in rice and Arabidopsis. CONCLUSIONS: Root hair length and density are quantitative traits with complex and independent genetic control in rice. The genomic regions described here could be used as the basis for QTL development and further analysis of the genetic control of root hair length and density. We present a list of candidate genes involved in root hair formation and growth in rice, many of which have not been previously identified as having a relation to root hair growth. Since little is known about root hair growth in grasses, these provide a guide for further research and crop improvement. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12870-022-04026-5. BioMed Central 2023-01-04 /pmc/articles/PMC9811729/ /pubmed/36597029 http://dx.doi.org/10.1186/s12870-022-04026-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Hanlon, Meredith T.
Vejchasarn, Phanchita
Fonta, Jenna E.
Schneider, Hannah M.
McCouch, Susan R.
Brown, Kathleen M.
Genome wide association analysis of root hair traits in rice reveals novel genomic regions controlling epidermal cell differentiation
title Genome wide association analysis of root hair traits in rice reveals novel genomic regions controlling epidermal cell differentiation
title_full Genome wide association analysis of root hair traits in rice reveals novel genomic regions controlling epidermal cell differentiation
title_fullStr Genome wide association analysis of root hair traits in rice reveals novel genomic regions controlling epidermal cell differentiation
title_full_unstemmed Genome wide association analysis of root hair traits in rice reveals novel genomic regions controlling epidermal cell differentiation
title_short Genome wide association analysis of root hair traits in rice reveals novel genomic regions controlling epidermal cell differentiation
title_sort genome wide association analysis of root hair traits in rice reveals novel genomic regions controlling epidermal cell differentiation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9811729/
https://www.ncbi.nlm.nih.gov/pubmed/36597029
http://dx.doi.org/10.1186/s12870-022-04026-5
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