Evidence map›Paper›PMID 35576152›Full record

ArticlePlant communications2022

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

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

Open access · goldAbstract read
In one paragraph

Article in Plant communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
6.6field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 38 citations in OpenAlex.

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  8. Genomic selection for agronomical phenotypes using genome-wide SNPs and SVs in pearl millet.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 4 countries.

Haidong YanSchool of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA 24061, USA.
David C HaakSchool of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA 24061, USA; Graduate Program in Genetics, Bioinformatics and Computational Biology (GBCB), Virginia Tech, Blacksburg, VA 24061, USA.
Song LiSchool of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA 24061, USA; Graduate Program in Genetics, Bioinformatics and Computational Biology (GBCB), Virginia Tech, Blacksburg, VA 24061, USA.
Linkai HuangDepartment of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Chengdu 611130, China.
Aureliano BombarelyDepartment of Bioscience, Universita degli Studi di Milano (UNIMI), 20133 Milano, Italy; Instituto de Biologıa Molecular y Celular de Plantas (IBMCP), UPV-CSIC, 46022 Valencia, Spain. Electronic address: aureliano.bombarely@unimi.it.
Virginia Tech · USSichuan Agricultural University · CNUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 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.

Indexed as

OryzaAllelesDNA Transposable ElementsGenome-Wide Association StudyPhenotypeDNA Transposable Elementsagronomic traitGWASmarkerricetransposable element

Identifiers

PMID35576152
PMCPMC9251385
OpenAlexW4200476154

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.