Evidence map›Paper›PMID 26394865›Full record

ArticlePlant molecular biology2015

A genome-scale integrated approach aids in genetic dissection of complex flowering time trait in chickpea.

Hari D Upadhyaya, Deepak Bajaj, Shouvik Das, Maneesha S Saxena, Saurabh Badoni, Vinod Kumar, Shailesh Tripathi, C L L Gowda, Shivali Sharma, Akhilesh K Tyagi and 1 more

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Article in Plant molecular biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
10.9field-weighted citation impact, top 2% 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

38 citing papers in PubMed, 73 citations in OpenAlex.

  1. Article
  2. A genome-wide association analysis identifies a key candidate gene controlling plant growth habit in chickpea.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  3. Article
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  5. Review
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  7. Novel Alleles fromInternational journal of molecular sciences · 2024
    Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. 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
  13. Article
  14. Article
  15. Article
  16. Quantitative Control of Early Flowering in White Lupin (International journal of molecular sciences · 2021
    Article
  17. Article
  18. Article
  19. Article
  20. 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

11 authors at 4 institutions in 1 country.

Hari D UpadhyayaInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana, 502324, India.
Deepak BajajNational 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.
Maneesha S SaxenaNational 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.
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, Telangana, 502324, India.
Shivali SharmaInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana, 502324, India.
Akhilesh K TyagiNational 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. swarup@nipgr.ac.in.
National Institute of Plant Genome Research · INInternational Crops Research Institute for the Semi-Arid Tropics · INIndian Agricultural Research Institute · INNational Research Centre on Plant Biotechnology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A combinatorial approach of candidate gene-based association analysis and genome-wide association study (GWAS) integrated with QTL mapping, differential gene expression profiling and molecular haplotyping was deployed in the present study for quantitative dissection of complex flowering time trait in chickpea. Candidate gene-based association mapping in a flowering time association panel (92 diverse desi and kabuli accessions) was performed by employing the genotyping information of 5724 SNPs discovered from 82 known flowering chickpea gene orthologs of Arabidopsis and legumes as well as 832 gene-encoding transcripts that are differentially expressed during flower development in chickpea. GWAS using both genome-wide GBS- and candidate gene-based genotyping data of 30,129 SNPs in a structured population of 92 sequenced accessions (with 200-250 kb LD decay) detected eight maximum effect genomic SNP loci (genes) associated (34% combined PVE) with flowering time. Six flowering time-associated major genomic loci harbouring five robust QTLs mapped on a high-resolution intra-specific genetic linkage map were validated (11.6-27.3% PVE at 5.4-11.7 LOD) further by traditional QTL mapping. The flower-specific expression, including differential up- and down-regulation (>three folds) of eight flowering time-associated genes (including six genes validated by QTL mapping) especially in early flowering than late flowering contrasting chickpea accessions/mapping individuals during flower development was evident. The gene haplotype-based LD mapping discovered diverse novel natural allelic variants and haplotypes in eight genes with high trait association potential (41% combined PVE) for flowering time differentiation in cultivated and wild chickpea. Taken together, eight potential known/candidate flowering time-regulating genes [efl1 (early flowering 1), FLD (Flowering locus D), GI (GIGANTEA), Myb (Myeloblastosis), SFH3 (SEC14-like 3), bZIP (basic-leucine zipper), bHLH (basic helix-loop-helix) and SBP (SQUAMOSA promoter binding protein)], including novel markers, QTLs, alleles and haplotypes delineated by aforesaid genome-wide integrated approach have potential for marker-assisted genetic improvement and unravelling the domestication pattern of flowering time in chickpea.

Indexed as

Genome, PlantChromosome MappingCicerFlowersGene Expression ProfilingGenome-Wide Association StudyGenotypeHaplotypesLinkage DisequilibriumPhenotypePolymorphism, Single NucleotideQuantitative Trait LociTime FactorsChickpeaFlowering timeGBSGWASQTLSNP

Identifiers

PMID26394865
OpenAlexW1697424734

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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.