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Exploring transposable element-based markers to identify allelic variations underlying agronomic traits in rice

Transposable elements (TEs) are a major force in the production of new alleles during domestication; nevertheless, their use in association studies has been limited because of their complexity. We have developed a TE genotyping pipeline (TEmarker) and applied it to whole-genome genome-wide associati...

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Autores principales: Yan, Haidong, Haak, David C., Li, Song, Huang, Linkai, Bombarely, Aureliano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9251385/
https://www.ncbi.nlm.nih.gov/pubmed/35576152
http://dx.doi.org/10.1016/j.xplc.2021.100270
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author Yan, Haidong
Haak, David C.
Li, Song
Huang, Linkai
Bombarely, Aureliano
author_facet Yan, Haidong
Haak, David C.
Li, Song
Huang, Linkai
Bombarely, Aureliano
author_sort Yan, Haidong
collection PubMed
description Transposable elements (TEs) are a major force in the production of new alleles during domestication; nevertheless, their use in association studies has been limited because of their complexity. We have developed a TE genotyping pipeline (TEmarker) and applied it to whole-genome genome-wide association study (GWAS) data from 176 Oryza sativa subsp. japonica accessions to identify genetic elements associated with specific agronomic traits. TE markers recovered a large proportion (69%) of single-nucleotide polymorphism (SNP)-based GWAS peaks, and these TE peaks retained ca. 25% of the SNPs. The use of TEs in GWASs may reduce false positives associated with linkage disequilibrium (LD) among SNP markers. A genome scan revealed positive selection on TEs associated with agronomic traits. We found several cases of insertion and deletion variants that potentially resulted from the direct action of TEs, including an allele of LOC_Os11g08410 associated with plant height and panicle length traits. Together, these findings reveal the utility of TE markers for connecting genotype to phenotype and suggest a potential role for TEs in influencing phenotypic variations in rice that impact agronomic traits.
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spelling pubmed-92513852022-07-05 Exploring transposable element-based markers to identify allelic variations underlying agronomic traits in rice Yan, Haidong Haak, David C. Li, Song Huang, Linkai Bombarely, Aureliano Plant Commun Research Article Transposable elements (TEs) are a major force in the production of new alleles during domestication; nevertheless, their use in association studies has been limited because of their complexity. We have developed a TE genotyping pipeline (TEmarker) and applied it to whole-genome genome-wide association study (GWAS) data from 176 Oryza sativa subsp. japonica accessions to identify genetic elements associated with specific agronomic traits. TE markers recovered a large proportion (69%) of single-nucleotide polymorphism (SNP)-based GWAS peaks, and these TE peaks retained ca. 25% of the SNPs. The use of TEs in GWASs may reduce false positives associated with linkage disequilibrium (LD) among SNP markers. A genome scan revealed positive selection on TEs associated with agronomic traits. We found several cases of insertion and deletion variants that potentially resulted from the direct action of TEs, including an allele of LOC_Os11g08410 associated with plant height and panicle length traits. Together, these findings reveal the utility of TE markers for connecting genotype to phenotype and suggest a potential role for TEs in influencing phenotypic variations in rice that impact agronomic traits. Elsevier 2021-12-20 /pmc/articles/PMC9251385/ /pubmed/35576152 http://dx.doi.org/10.1016/j.xplc.2021.100270 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Yan, Haidong
Haak, David C.
Li, Song
Huang, Linkai
Bombarely, Aureliano
Exploring transposable element-based markers to identify allelic variations underlying agronomic traits in rice
title Exploring transposable element-based markers to identify allelic variations underlying agronomic traits in rice
title_full Exploring transposable element-based markers to identify allelic variations underlying agronomic traits in rice
title_fullStr Exploring transposable element-based markers to identify allelic variations underlying agronomic traits in rice
title_full_unstemmed Exploring transposable element-based markers to identify allelic variations underlying agronomic traits in rice
title_short Exploring transposable element-based markers to identify allelic variations underlying agronomic traits in rice
title_sort exploring transposable element-based markers to identify allelic variations underlying agronomic traits in rice
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9251385/
https://www.ncbi.nlm.nih.gov/pubmed/35576152
http://dx.doi.org/10.1016/j.xplc.2021.100270
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