<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>3(3)</volume><submitter>Yan H</submitter><funding>USDA</funding><pubmed_abstract>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</pubmed_abstract><journal>Plant communications</journal><pagination>100270</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9251385</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Exploring transposable element-based markers to identify allelic variations underlying agronomic traits in rice.</pubmed_title><pmcid>PMC9251385</pmcid><pubmed_authors>Haak DC</pubmed_authors><pubmed_authors>Li S</pubmed_authors><pubmed_authors>Huang L</pubmed_authors><pubmed_authors>Bombarely A</pubmed_authors><pubmed_authors>Yan H</pubmed_authors></additional><is_claimable>false</is_claimable><name>Exploring transposable element-based markers to identify allelic variations underlying agronomic traits in rice.</name><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</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 May</publication><modification>2026-05-10T01:35:25.751Z</modification><creation>2025-02-19T01:10:41.38Z</creation></dates><accession>S-EPMC9251385</accession><cross_references><pubmed>35576152</pubmed><doi>10.1016/j.xplc.2021.100270</doi></cross_references></HashMap>