Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

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

Plant communications - 9 May 2022

Yan Haidong, Haak David C, Li Song, Huang Linkai, Bombarely Aureliano

Abstract excerpt

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...

Topics

Join the communities discussing this publication.

Alleles
DNA Transposable Elements
Genome-Wide Association Study
Oryza
Phenotype

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Open in PubMed Open full text

Identifiers

PMID: 35576152
DOI: 10.1016/j.xplc.2021.100270
PMCID: PMC9251385

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 31 Aug 2026.

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

0

discussions

0

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Exploring transposable element-based markers to identify allelic variations underlying agronomic traits in rice.PMID 35576152Read ↗

The pan-tandem repeat map highlights multiallelic variants underlying gene expression and agronomic traits in rice.Semantic proximity Read ↗

Genome-wide association study using whole-genome sequencing rapidly identifies new genes influencing agronomic traits in rice.Semantic proximity Read ↗

Genome-wide association studies of 14 agronomic traits in rice landraces.Semantic proximity Read ↗

Transposon-mediated epigenetic regulation contributes to phenotypic diversity and environmental adaptation in rice.Semantic proximity Read ↗

A quantitative genomics map of rice provides genetic insights and guides breeding.Semantic proximity Read ↗

Genome-wide association mapping for yield and other agronomic traits in an elite breeding population of tropical rice (Oryza sativa).Semantic proximity Read ↗

Population-scale landscape of TE insertion polymorphisms reveal their roles in gene expression regulation, adaptation, and agronomic traits in Brassica napus.Semantic proximity Read ↗

Sequencing-based genome-wide association study in rice.Semantic proximity Read ↗

Transposable element polymorphisms improve prediction of complex agronomic traits in rice.Semantic proximity Read ↗

Amplification dynamics of miniature inverted-repeat transposable elements and their impact on rice trait variability.Semantic proximity Read ↗

Genome-wide association study-based identification genes influencing agronomic traits in rice (Oryza sativa L.).Semantic proximity Read ↗

The genomic pattern of insertion/deletion variations during rice improvement.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.