Evidence map›Paper›PMID 35953529›Full record

SynthesisScientific reports2022

Consensus genomic regions associated with multiple abiotic stress tolerance in wheat and implications for wheat breeding.

Mohammad Jafar Tanin, Dinesh Kumar Saini, Karansher Singh Sandhu, Neeraj Pal, Santosh Gudi, Jyoti Chaudhary, Achla Sharma

Abstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 5 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

43 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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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

7 authors.

Mohammad Jafar Tanin *Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India. jafartanin@gmail.com.
Dinesh Kumar Saini *Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India.
Karansher Singh SandhuDepartment of Crop and Soil Sciences, Washington State University, Pullman, WA, 99163, USA.
Neeraj PalDepartment of Molecular Biology and Genetic Engineering, G. B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India.
Santosh GudiDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India.
Jyoti ChaudharyDepartment of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, Uttar Pradesh, India.
Achla SharmaDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In wheat, a meta-analysis was performed using previously identified QTLs associated with drought stress (DS), heat stress (HS), salinity stress (SS), water-logging stress (WS), pre-harvest sprouting (PHS), and aluminium stress (AS) which predicted a total of 134 meta-QTLs (MQTLs) that involved at least 28 consistent and stable MQTLs conferring tolerance to five or all six abiotic stresses under study. Seventy-six MQTLs out of the 132 physically anchored MQTLs were also verified with genome-wide association studies. Around 43% of MQTLs had genetic and physical confidence intervals of less than 1 cM and 5 Mb, respectively. Consequently, 539 genes were identified in some selected MQTLs providing tolerance to 5 or all 6 abiotic stresses. Comparative analysis of genes underlying MQTLs with four RNA-seq based transcriptomic datasets unravelled a total of 189 differentially expressed genes which also included at least 11 most promising candidate genes common among different datasets. The promoter analysis showed that the promoters of these genes include many stress responsiveness cis-regulatory elements, such as ARE, MBS, TC-rich repeats, As-1 element, STRE, LTR, WRE3, and WUN-motif among others. Further, some MQTLs also overlapped with as many as 34 known abiotic stress tolerance genes. In addition, numerous ortho-MQTLs among the wheat, maize, and rice genomes were discovered. These findings could help with fine mapping and gene cloning, as well as marker-assisted breeding for multiple abiotic stress tolerances in wheat.

Indexed as

Plant BreedingTriticumBreedingConsensus SequenceGenome-Wide Association StudyGenomicsStress, Physiological

Identifiers

PMID35953529
PMCPMC9372038

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Registered trials

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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.