Evidence map›Paper›PMID 34281242›Full record

ArticleInternational journal of molecular sciences2021

Genetic Dissection of Seedling Root System Architectural Traits in a Diverse Panel of Hexaploid Wheat through Multi-Locus Genome-Wide Association Mapping for Improving Drought Tolerance.

Thippeswamy Danakumara, Jyoti Kumari, Amit Kumar Singh, Subodh Kumar Sinha, Anjan Kumar Pradhan, Shivani Sharma, Shailendra Kumar Jha, Ruchi Bansal, Sundeep Kumar, Girish Kumar Jha and 2 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Comprehensive analysis of genomic loci associated with glaucousness in wheat (Physiology and molecular biology of plants : an international journal of functional plant biology · 2025
    Article
  4. Article
  5. Growth and physiological response of YuluPlant signaling & behavior · 2024
    Article
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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

12 authors.

Thippeswamy DanakumaraDivision of Genetics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Research Institute, New Delhi 110012, India.
Jyoti KumariDivision of Germplasm Evaluation, ICAR-National Bureau of Plant Genetic Resources, New Delhi 110012, India.
Amit Kumar SinghDivision of Genomic Resources, ICAR-National Bureau of Plant Genetic Resources, New Delhi 110012, India.ORCID 0000-0001-8579-6519
Subodh Kumar SinhaICAR-National Institute of Plant Biotechnology, New Delhi 110012, India.
Anjan Kumar PradhanDivision of Genomic Resources, ICAR-National Bureau of Plant Genetic Resources, New Delhi 110012, India.
Shivani SharmaDivision of Germplasm Evaluation, ICAR-National Bureau of Plant Genetic Resources, New Delhi 110012, India.
Shailendra Kumar JhaDivision of Genetics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Research Institute, New Delhi 110012, India.
Ruchi BansalDivision of Germplasm Evaluation, ICAR-National Bureau of Plant Genetic Resources, New Delhi 110012, India.ORCID 0000-0001-5323-2380
Sundeep KumarDivision of Genomic Resources, ICAR-National Bureau of Plant Genetic Resources, New Delhi 110012, India.
Girish Kumar JhaDivision of Agricultural Economics, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India.
Mahesh C YadavDivision of Genomic Resources, ICAR-National Bureau of Plant Genetic Resources, New Delhi 110012, India.
P V Vara PrasadDepartment of Agronomy, Kansas State University, Manhattan, KS 66506, USA.ORCID 0000-0001-6632-3361

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cultivars with efficient root systems play a major role in enhancing resource use efficiency, particularly water absorption, and thus in drought tolerance. In this study, a diverse wheat association panel of 136 wheat accessions including mini core subset was genotyped using Axiom 35k Breeders' Array to identify genomic regions associated with seedling stage root architecture and shoot traits using multi-locus genome-wide association studies (ML-GWAS). The association panel revealed a wide variation of 1.5- to 50-fold and were grouped into six clusters based on 15 traits. Six different ML-GWAS models revealed 456 significant quantitative trait nucleotides (QTNs) for various traits with phenotypic variance in the range of 0.12-38.60%. Of these, 87 QTNs were repeatedly detected by two or more models and were considered reliable genomic regions for the respective traits. Among these QTNs, eleven were associated with average diameter and nine each for second order lateral root number (SOLRN), root volume (RV) and root length density (RLD). A total of eleven genomic regions were pleiotropic and each controlled two or three traits. Some important candidate genes such as Formin homology 1, Ubiquitin-like domain superfamily and ATP-dependent 6-phosphofructokinase were identified from the associated genomic regions. The genomic regions/genes identified in this study could potentially be targeted for improving root traits and drought tolerance in wheat.

Indexed as

Genome-Wide Association StudyPhenotypeDroughtsGenetic VariationOsmoregulationPlant RootsPolyploidySeedlingsTriticumgermplasmML-GWASquantitative trait nucleotidesroot architectureroot traitswheat

Identifiers

PMID34281242
PMCPMC8268147

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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 OpenQuestion graph.