Evidence map›Paper›PMID 27107184›Full record

ArticlePlant biotechnology journal2016

QTL-seq for rapid identification of candidate genes for 100-seed weight and root/total plant dry weight ratio under rainfed conditions in chickpea.

Vikas K Singh, Aamir W Khan, Deepa Jaganathan, Mahendar Thudi, Manish Roorkiwal, Hiroki Takagi, Vanika Garg, Vinay Kumar, Annapurna Chitikineni, Pooran M Gaur and 3 more

Open access · goldAbstract read
In one paragraph

Article in Plant biotechnology journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed
40.4field-weighted citation impact, top 1% 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

110 citing papers in PubMed, 201 citations in OpenAlex.

  1. Breeding for next-generation biotic stress-tolerant pigeonpea for sustainable food legume production.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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  6. Identification of candidate genes for watermelon (Molecular breeding : new strategies in plant improvement · 2025
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  16. Article
  17. BSA-Seq for the Identification of Major Genes for EPN in Rice.International journal of molecular sciences · 2023
    Article
  18. Article
  19. Article
  20. Review

50 more citing papers are in PubMed but not listed here.

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

13 authors at 4 institutions in 3 countries.

Vikas K SinghInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Aamir W KhanInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Deepa JaganathanInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Mahendar ThudiInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Manish RoorkiwalInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Hiroki TakagiIwate Biotechnology Research Center, Kitakami, Iwate, Japan.
Vanika GargInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Vinay KumarInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Annapurna ChitikineniInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Pooran M GaurInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
Tim SuttonSouth Australian Research and Development Institute, Adelaide, Australia.
Ryohei TerauchiIwate Biotechnology Research Center, Kitakami, Iwate, Japan.
Rajeev K VarshneyInternational Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India. r.k.varshney@cgiar.org.
International Crops Research Institute for the Semi-Arid Tropics · INIwate Biotechnology Research Center · JPUniversity of Adelaide · AUUniversity of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Terminal drought is a major constraint to chickpea productivity. Two component traits responsible for reduction in yield under drought stress include reduction in seeds size and root length/root density. QTL-seq approach, therefore, was used to identify candidate genomic regions for 100-seed weight (100SDW) and total dry root weight to total plant dry weight ratio (RTR) under rainfed conditions. Genomewide SNP profiling of extreme phenotypic bulks from the ICC 4958 × ICC 1882 population identified two significant genomic regions, one on CaLG01 (1.08 Mb) and another on CaLG04 (2.7 Mb) linkage groups for 100SDW. Similarly, one significant genomic region on CaLG04 (1.10 Mb) was identified for RTR. Comprehensive analysis revealed four and five putative candidate genes associated with 100SDW and RTR, respectively. Subsequently, two genes (Ca_04364 and Ca_04607) for 100SDW and one gene (Ca_04586) for RTR were validated using CAPS/dCAPS markers. Identified candidate genomic regions and genes may be useful for molecular breeding for chickpea improvement.

Indexed as

BreedingCicerPolymorphism, Single NucleotideQuantitative Trait Locichickpearesequencingroot ratioseed weightSNP-indextrait mapping

Identifiers

PMID27107184
PMCPMC5095801
OpenAlexW2336585179

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.