Evidence map›Paper›PMID 26685680›Full record

ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2016

mQTL-seq delineates functionally relevant candidate gene harbouring a major QTL regulating pod number in chickpea.

Shouvik Das, Mohar Singh, Rishi Srivastava, Deepak Bajaj, Maneesha S Saxena, Jai C Rana, Kailash C Bansal, Akhilesh K Tyagi, Swarup K Parida

Abstract read
In one paragraph

Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  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
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Capturing Wheat Phenotypes at the Genome Level.Frontiers in plant science · 2022
    Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Genetic dissection of plant growth habit in chickpea.Functional & integrative genomics · 2017
    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

9 authors.

Shouvik DasNational Institute of Plant Genome Research (NIPGR), New Delhi 110067, India.
Mohar SinghNational Bureau of Plant Genetic Resources Regional Station, Shimla, Himachal Pradesh 171004, India.
Rishi SrivastavaNational Institute of Plant Genome Research (NIPGR), New Delhi 110067, India.
Deepak BajajNational Institute of Plant Genome Research (NIPGR), New Delhi 110067, India.
Maneesha S SaxenaNational Institute of Plant Genome Research (NIPGR), New Delhi 110067, India.
Jai C RanaNational Bureau of Plant Genetic Resources (NBPGR), New Delhi 110012, India.
Kailash C BansalNational Bureau of Plant Genetic Resources (NBPGR), New Delhi 110012, India.
Akhilesh K TyagiNational Institute of Plant Genome Research (NIPGR), New Delhi 110067, India.
Swarup K ParidaNational Institute of Plant Genome Research (NIPGR), New Delhi 110067, India swarup@nipgr.ac.in swarupdbt@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study used a whole-genome, NGS resequencing-based mQTL-seq (multiple QTL-seq) strategy in two inter-specific mapping populations (Pusa 1103 × ILWC 46 and Pusa 256 × ILWC 46) to scan the major genomic region(s) underlying QTL(s) governing pod number trait in chickpea. Essentially, the whole-genome resequencing of low and high pod number-containing parental accessions and homozygous individuals (constituting bulks) from each of these two mapping populations discovered >8 million high-quality homozygous SNPs with respect to the reference kabuli chickpea. The functional significance of the physically mapped SNPs was apparent from the identified 2,264 non-synonymous and 23,550 regulatory SNPs, with 8-10% of these SNPs-carrying genes corresponding to transcription factors and disease resistance-related proteins. The utilization of these mined SNPs in Δ (SNP index)-led QTL-seq analysis and their correlation between two mapping populations based on mQTL-seq, narrowed down two (Caq(a)PN4.1: 867.8 kb and Caq(a)PN4.2: 1.8 Mb) major genomic regions harbouring robust pod number QTLs into the high-resolution short QTL intervals (Caq(b)PN4.1: 637.5 kb and Caq(b)PN4.2: 1.28 Mb) on chickpea chromosome 4. The integration of mQTL-seq-derived one novel robust QTL with QTL region-specific association analysis delineated the regulatory (C/T) and coding (C/A) SNPs-containing one pentatricopeptide repeat (PPR) gene at a major QTL region regulating pod number in chickpea. This target gene exhibited anther, mature pollen and pod-specific expression, including pronounced higher up-regulated (∼3.5-folds) transcript expression in high pod number-containing parental accessions and homozygous individuals of two mapping populations especially during pollen and pod development. The proposed mQTL-seq-driven combinatorial strategy has profound efficacy in rapid genome-wide scanning of potential candidate gene(s) underlying trait-associated high-resolution robust QTL(s), thereby expediting genomics-assisted breeding and genetic enhancement of crop plants, including chickpea.

Indexed as

Genome, PlantQuantitative Trait LociChromosome MappingCicerPolymorphism, Single NucleotidechickpeamQTL-seqpod numberSNPwild accessions

Identifiers

PMID26685680
PMCPMC4755527

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.