Evidence map›Paper›PMID 25786576›Full record

ArticleScientific reports2015

A combinatorial approach of comprehensive QTL-based comparative genome mapping and transcript profiling identified a seed weight-regulating candidate gene in chickpea.

Deepak Bajaj, Hari D Upadhyaya, Yusuf Khan, Shouvik Das, Saurabh Badoni, Tanima Shree, Vinod Kumar, Shailesh Tripathi, C L L Gowda, Sube Singh and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
19.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

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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

31 citing papers in PubMed, 71 citations in OpenAlex.

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  10. CLAVATA signaling pathway genes modulating flowering time and flower number in chickpea.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
    Article
  11. Towards Exploitation of Adaptive Traits for Climate-Resilient Smart Pulses.International journal of molecular sciences · 2019
    Review
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  15. Genetic dissection of plant growth habit in chickpea.Functional & integrative genomics · 2017
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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

14 authors at 5 institutions in 2 countries.

Deepak BajajNational Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India.
Hari D UpadhyayaInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502324, Telangana, India.
Yusuf KhanNational Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India.
Shouvik DasNational Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India.
Saurabh BadoniNational Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India.
Tanima ShreeNational Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India.
Vinod KumarNational Research Centre on Plant Biotechnology (NRCPB), New Delhi 110012, India.
Shailesh TripathiDivision of Genetics, Indian Agricultural Research Institute (IARI), New Delhi 110012, India.
C L L GowdaInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502324, Telangana, India.
Sube SinghInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502324, Telangana, India.
Shivali SharmaInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502324, Telangana, India.
Akhilesh K TyagiNational Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India.
Debasis ChattopdhyayNational Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India.
Swarup K ParidaNational Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India.
National Institute of Plant Genome Research · INInternational Crops Research Institute for the Semi-Arid Tropics · INIndian Agricultural Research Institute · INInternational Crops Research Institute for the Semi-Arid Tropics · MLNational Research Centre on Plant Biotechnology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High experimental validation/genotyping success rate (94-96%) and intra-specific polymorphic potential (82-96%) of 1536 SNP and 472 SSR markers showing in silico polymorphism between desi ICC 4958 and kabuli ICC 12968 chickpea was obtained in a 190 mapping population (ICC 4958 × ICC 12968) and 92 diverse desi and kabuli genotypes. A high-density 2001 marker-based intra-specific genetic linkage map comprising of eight LGs constructed is comparatively much saturated (mean map-density: 0.94 cM) in contrast to existing intra-specific genetic maps in chickpea. Fifteen robust QTLs (PVE: 8.8-25.8% with LOD: 7.0-13.8) associated with pod and seed number/plant (PN and SN) and 100 seed weight (SW) were identified and mapped on 10 major genomic regions of eight LGs. One of 126.8 kb major genomic region harbouring a strong SW-associated robust QTL (Caq'SW1.1: 169.1-171.3 cM) has been delineated by integrating high-resolution QTL mapping with comprehensive marker-based comparative genome mapping and differential expression profiling. This identified one potential regulatory SNP (G/A) in the cis-acting element of candidate ERF (ethylene responsive factor) TF (transcription factor) gene governing seed weight in chickpea. The functionally relevant molecular tags identified have potential to be utilized for marker-assisted genetic improvement of chickpea.

Indexed as

Chromosome MappingGene Expression ProfilingGenes, PlantQuantitative Trait, HeritableQuantitative Trait LociCicerGene Expression Regulation, PlantGenetic LinkageGenome-Wide Association StudyGenomicsMicrosatellite RepeatsPolymorphism, Single NucleotideReproducibility of Results

Identifiers

PMID25786576
PMCPMC4365403
OpenAlexW2017400313

What OpenQuestion holds

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LicenceCC BY
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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.