Evidence map›Paper›PMID 35508739›Full record

SynthesisPlanta2022

Unravelling consensus genomic regions associated with quality traits in wheat using meta-analysis of quantitative trait loci.

Santosh Gudi, Dinesh Kumar Saini, Gurjeet Singh, Priyanka Halladakeri, Pradeep Kumar, Mohammad Shamshad, Mohammad Jafar Tanin, Satinder Singh, Achla Sharma

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Planta, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 10 pooled it
14.5field-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

41 citing papers in PubMed, 10 syntheses or guidelines pooled it, 66 citations in OpenAlex.

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  5. Meta-analysis of seed weight QTLome using a consensus and highly dense genetic map in Brassica napus L.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
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  17. Genome-wide meta-QTL approach identifies consensus loci associated with agriculturally important tomato fruit traits.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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  20. Characterization of a stable QTL for quality-related traits and its effects on yields in wheat (Triticum aestivum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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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

9 authors at 2 institutions in 1 country.

Santosh GudiDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India. santosh-pbg@pau.edu.ORCID http://orcid.org/0000-0003-1885-8139
Dinesh Kumar SainiDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India.ORCID http://orcid.org/0000-0002-6347-6183
Gurjeet SinghDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India.ORCID http://orcid.org/0000-0002-9995-612X
Priyanka HalladakeriDepartment of Genetics and Plant Breeding, Anand Agricultural University, Gujarat, India.
Pradeep KumarDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India.
Mohammad ShamshadDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India.ORCID http://orcid.org/0000-0002-5002-4575
Mohammad Jafar TaninDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India.
Satinder SinghDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India.
Achla SharmaDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India.
Punjab Agricultural University · INAnand Agricultural University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MAIN

conclusionMeta-analysis in wheat for three major quality traits identified 110 meta-QTL (MQTL) with reduced confidence interval (CI). Five GWAS validated MQTL (viz., 1A.1, 1B.2, 3B.4, 5B.2, and 6B.2), each involving more than 20 initial QTL and reduced CI (95%) (< 2 cM), were selected for quality breeding programmes. Functional characterization including candidate gene mining and expression analysis discovered 44 high confidence candidate genes associated with quality traits. A meta-analysis of quantitative trait loci (QTL) associated with dough rheology properties, nutritional traits, and processing quality traits was conducted in wheat. For this purpose, as many as 2458 QTL were collected from 50 interval mapping studies published during 2013-2020. Of the total QTL, 1126 QTL were projected onto the consensus map saturated with 249,603 markers which led to the identification of 110 meta-QTL (MQTL). These MQTL exhibited an 18.84-fold reduction in the average CI compared to the average CI of the initial QTL (ranging from 14.87 to 95.55 cM with an average of 40.35 cM). Of the 110, 108 MQTL were physically anchored to the wheat reference genome, including 51 MQTL verified with marker-trait associations (MTAs) reported from earlier genome-wide association studies. Candidate gene (CG) mining allowed the identification of 2533 unique gene models from the MQTL regions. In-silico expression analysis discovered 439 differentially expressed gene models with > 2 transcripts per million expressions in grains and related tissues, which also included 44 high-confidence CGs involved in the various cellular and biochemical processes related to quality traits. Nine functionally characterized wheat genes associated with grain protein content, high-molecular-weight glutenin, and starch synthase enzymes were also found to be co-localized with some of the MQTL. Synteny analysis between wheat and rice MQTL regions identified 23 wheat MQTL syntenic to 16 rice MQTL associated with quality traits. Furthermore, 64 wheat orthologues of 30 known rice genes were detected in 44 MQTL regions. Markers flanking the MQTL identified in the present study can be used for marker-assisted breeding and as fixed effects in the genomic selection models for improving the prediction accuracy during quality breeding. Wheat orthologues of rice genes and other CGs available from MQTLs can be promising targets for further functional validation and to better understand the molecular mechanism underlying the quality traits in wheat.

Indexed as

OryzaQuantitative Trait LociChromosome MappingConsensus SequenceGenome-Wide Association StudyGenomicsPlant BreedingTriticumCandidate genesDifferentially expressed genesGWASMeta-QTLOrthologousSynteny

Identifiers

PMID35508739
OpenAlexW4229012915

What Socratic holds

Textmetadata
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 Socratic graph.