Evidence map›Paper›PMID 37309411›Full record

ArticleMolecular breeding : new strategies in plant improvement2022

Meta-analysis reveals consensus genomic regions associated with multiple disease resistance in wheat (

Dinesh Kumar Saini, Amneek Chahal, Neeraj Pal, Puja Srivastava, Pushpendra Kumar Gupta

Open access · greenAbstract read
In one paragraph

Article in Molecular breeding : new strategies in plant improvement, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 10 pooled it
10.7field-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

35 citing papers in PubMed, 10 syntheses or guidelines pooled it, 49 citations in OpenAlex.

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  9. Meta-QTLs, ortho-meta-QTLs and candidate genes for grain yield and associated traits in wheat (Triticum aestivum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
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  11. Genome-Wide Association Mapping of Resistance toPlants (Basel, Switzerland) · 2026
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  12. Meta-QTLs and candidate genes for kernel protein content in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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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

5 authors at 3 institutions in 1 country.

Dinesh Kumar SainiDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab-141004 India.
Amneek ChahalCollege of Agriculture, Punjab Agricultural University, Ludhiana, Punjab-141004 India.
Neeraj PalDepartment of Molecular Biology and Genetic Engineering, G. B. Pant, University of Agriculture and Technology, Pantnagar, Uttrakhand-263145 India.
Puja SrivastavaDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab-141004 India.
Pushpendra Kumar GuptaDepartment of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, 250004 India.ORCID 0000-0001-6374-9148
Punjab Agricultural University · INChaudhary Charan Singh University · INGovind Ballabh Pant University of Agriculture and Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In wheat, meta-QTLs (MQTLs) and candidate genes (CGs) were identified for multiple disease resistance (MDR). For this purpose, information was collected from 58 studies for mapping QTLs for resistance to one or more of the five diseases. As many as 493 QTLs were available from these studies, which were distributed in five diseases as follows: septoria tritici blotch (STB) 126 QTLs; septoria nodorum blotch (SNB), 103 QTLs; fusarium head blight (FHB), 184 QTLs; karnal bunt (KB), 66 QTLs; and loose smut (LS), 14 QTLs. Of these 493 QTLs, only 291 QTLs could be projected onto a consensus genetic map, giving 63 MQTLs. The CI of the MQTLs ranged from 0.04 to 15.31 cM with an average of 3.09 cM per MQTL. This is a ~ 4.39 fold reduction from the CI of QTLs, which ranged from 0 to 197.6 cM, with a mean of 13.57 cM. Of 63 MQTLs, 60 were anchored to the reference physical map of wheat (the physical interval of these MQTLs ranged from 0.30 to 726.01 Mb with an average of 74.09 Mb). Thirty-eight (38) of these MQTLs were verified using marker-trait associations (MTAs) derived from genome-wide association studies. As many as 874 CGs were also identified which were further investigated for differential expression using data from five transcriptome studies, resulting in 194 differentially expressed candidate genes (DECGs). Among the DECGs, 85 genes had functions previously reported to be associated with disease resistance. These results should prove useful for fine mapping and cloning of MDR genes and marker-assisted breeding. Supplementary Information: The online version contains supplementary material available at 10.1007/s11032-022-01282-z.

Indexed as

Candidate genesGenome-wide association studiesMeta-analysisMultiple disease resistanceWheat

Identifiers

PMID37309411
PMCPMC10248701
OpenAlexW4226389326

What OpenQuestion 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 OpenQuestion graph.