Evidence map›Paper›PMID 30661107›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2019

Co-localization of genomic regions associated with seed morphology and composition in a desi chickpea (Cicer arietinum L.) population varying in seed protein concentration.

Runfeng Wang, Manu P Gangola, Craig Irvine, Pooran M Gaur, Monica Båga, Ravindra N Chibbar

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In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
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  4. Review
  5. Review
  6. Article
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  8. Review
  9. The genetics of vigour-related traits in chickpea (Cicer arietinum L.): insights from genomic data.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Article
  10. Article
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

6 authors at 2 institutions in 2 countries.

Runfeng WangDepartment of Plant Sciences, University of Saskatchewan, Saskatoon, SK, S7N 5A8, Canada.
Manu P GangolaDepartment of Plant Sciences, University of Saskatchewan, Saskatoon, SK, S7N 5A8, Canada.
Craig IrvineDepartment of Plant Sciences, University of Saskatchewan, Saskatoon, SK, S7N 5A8, Canada.
Pooran M GaurInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad, Telangana, 502 324, India.
Monica BågaDepartment of Plant Sciences, University of Saskatchewan, Saskatoon, SK, S7N 5A8, Canada.
Ravindra N ChibbarDepartment of Plant Sciences, University of Saskatchewan, Saskatoon, SK, S7N 5A8, Canada. ravi.chibbar@usask.ca.ORCID http://orcid.org/0000-0002-2282-5236
University of Saskatchewan · CAInternational Crops Research Institute for the Semi-Arid Tropics · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageMajor QTL on LG 1 and 3 control seed filling and seed coat development, thereby affecting seed shape, size, color, composition and weight, key determinants of crop yield and quality. A chickpea (Cicer arietinum L.) population consisting of 189 recombinant inbred lines (RILs) derived from a cross between medium-protein ICC 995 and high-protein ICC 5912 genotypes of the desi market class was analyzed for seed properties. Seed from the parental lines and RILs was produced in four different environments for determination of seed shape (SS), 100-seed weight (100-SW), protein (PRO) and starch (STA) concentration. Polymorphic genetic markers for the population were identified by Genotyping by Sequencing and assembled into a 522.5 cM genetic map. Phenotype data from the different growth environments were analyzed by QTL mapping done by single and multi-environment analyses and in addition, single marker association mapping. The analyses identified in total 11 QTL, of which the most significant (P < 0.05) loci were located on LG 1 (q-1.1), LG 2 (q-2.1), LG 3 (q-3.2, q-3.3), LG 4 (q-4.2), and LG 5 (q-5.1). STA was mostly affected by q-1.1, which explained 19.0% of the phenotypic variance for the trait. The largest QTL effects were demonstrated by q-3.2 that explained 52.5% of the phenotypic variances for 100-SW, 44.3% for PRO, and 14.6% for SS. This locus was also highly associated with flower color (COL; 95.2% explained) and showed q-3.2 alleles from the ICC 5912 parent conferred the blue flower color and production of small, round seeds with relatively high protein concentration. Genes affecting seed filling at q-1.1 and seed coat development at q-3.2, respectively, were considered to underlie differences in seed composition and morphology in the RIL population.

Indexed as

Genome, PlantChromosome MappingCicerCrosses, GeneticEpistasis, GeneticGenetic MarkersInbreedingPlant ProteinsQuantitative Trait, HeritableQuantitative Trait LociSeedsGenetic MarkersPlant Proteins

Identifiers

PMID30661107
OpenAlexW2909634985

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Registered trials

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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.