Evidence map›Paper›PMID 26631981›Full record

ArticleScientific reports2015

High-density linkage map construction and mapping of seed trait QTLs in chickpea (Cicer arietinum L.) using Genotyping-by-Sequencing (GBS).

Subodh Verma, Shefali Gupta, Nitesh Bandhiwal, Tapan Kumar, Chellapilla Bharadwaj, Sabhyata Bhatia

Abstract 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 78 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing 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

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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

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

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18 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

6 authors.

Subodh VermaNational Institute Of Plant Genome Research, Aruna Asaf Ali Marg, PO Box No. 10531, New Delhi, 110067, India.
Shefali GuptaNational Institute Of Plant Genome Research, Aruna Asaf Ali Marg, PO Box No. 10531, New Delhi, 110067, India.
Nitesh BandhiwalNational Institute Of Plant Genome Research, Aruna Asaf Ali Marg, PO Box No. 10531, New Delhi, 110067, India.
Tapan KumarIndian Agricultural Research Institute, Pusa Campus, New Delhi, 110012, India.
Chellapilla BharadwajIndian Agricultural Research Institute, Pusa Campus, New Delhi, 110012, India.
Sabhyata BhatiaNational Institute Of Plant Genome Research, Aruna Asaf Ali Marg, PO Box No. 10531, New Delhi, 110067, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study reports the use of Genotyping-by-Sequencing (GBS) for large-scale SNP discovery and simultaneous genotyping of recombinant inbred lines (RILs) of an intra-specific mapping population of chickpea contrasting for seed traits. A total of 119,672 raw SNPs were discovered, which after stringent filtering revealed 3,977 high quality SNPs of which 39.5% were present in genic regions. Comparative analysis using physically mapped marker loci revealed a higher degree of synteny with Medicago in comparison to soybean. The SNP genotyping data was utilized to construct one of the most saturated intra-specific genetic linkage maps of chickpea having 3,363 mapped positions including 3,228 SNPs on 8 linkage groups spanning 1006.98 cM at an average inter marker distance of 0.33 cM. The map was utilized to identify 20 quantitative trait loci (QTLs) associated with seed traits accounting for phenotypic variations ranging from 9.97% to 29.71%. Analysis of the genomic sequence corresponding to five robust QTLs led to the identification of 684 putative candidate genes whose expression profiling revealed that 101 genes exhibited seed specific expression. The integrated approach utilizing the identified QTLs along with the available genome and transcriptome could serve as a platform for candidate gene identification for molecular breeding of chickpea.

Indexed as

Quantitative Trait LociChromosome MappingCicerGenetic LinkageGenome, PlantGenotyping TechniquesMedicagoMolecular Sequence AnnotationPhenotypePolymorphism, Single NucleotideSeeds

Identifiers

PMID26631981
PMCPMC4668357

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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.