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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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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. |
format | Online Article Text |
id | pubmed-9251385 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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