Evidence map›Paper›PMID 32643113›Full record

ArticlePlant molecular biology2020

Reproductive tissues-specific meta-QTLs and candidate genes for development of heat-tolerant rice cultivars.

Qasim Raza, Awais Riaz, Khurram Bashir, Muhammad Sabar

Abstract read
PubMed Publisher
In one paragraph

Article in Plant molecular biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
4.9field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. 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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  8. Integrating physiological and multi-omics methods to elucidate heat stress tolerance for sustainable rice production.Physiology and molecular biology of plants : an international journal of functional plant biology · 2024
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  17. Meta-QTLs, ortho-MQTLs, and candidate genes for thermotolerance in wheat (Molecular breeding : new strategies in plant improvement · 2021
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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

4 authors at 2 institutions in 2 countries.

Qasim RazaMolecular Breeding Laboratory, Division of Plant Breeding and Genetics, Rice Research Institute, Kala Shah Kaku, Lahore, Punjab, Pakistan. qasimnazami@gmail.com.ORCID http://orcid.org/0000-0003-1397-646X
Awais RiazMolecular Breeding Laboratory, Division of Plant Breeding and Genetics, Rice Research Institute, Kala Shah Kaku, Lahore, Punjab, Pakistan.
Khurram BashirPlant Genomic Network Research Team, Center for Sustainable Resource Science, RIKEN, Yokohama Campus, Yokohama, Japan.
Muhammad SabarMolecular Breeding Laboratory, Division of Plant Breeding and Genetics, Rice Research Institute, Kala Shah Kaku, Lahore, Punjab, Pakistan.
Post Graduate Medical Institute · PKRIKEN Center for Sustainable Resource Science · JP

Funding

Punjab Agricultural Research Board PARB 770 & PARB 904
6 · The paper itself

Abstract

key messageBy integrating genetics and genomics data, reproductive tissues-specific and heat stress responsive 35 meta-QTLs and 45 candidate genes were identified, which could be exploited through marker-assisted breeding for fast-track development of heat-tolerant rice cultivars. Rice holds the key to future food security. In rice-growing areas, temperature has already reached an optimum level for growth, hence, any further increase due to global climate change could significantly reduce rice yield. Several mapping studies have identified a plethora of reproductive tissue-specific and heat stress associated inconsistent quantitative trait loci (QTL), which could be exploited for improvement of heat tolerance. In this study, we performed a meta-analysis on previously reported QTLs and identified 35 most consistent meta-QTLs (MQTLs) across diverse genetic backgrounds and environments. Genetic and physical intervals of nearly 66% MQTLs were narrower than 5 cM and 2 Mb respectively, indicating hotspot genomic regions for heat tolerance. Comparative analyses of MQTLs underlying genes with microarray and RNA-seq based transcriptomic data sets revealed a core set of 45 heat-responsive genes, among which 24 were reproductive tissue-specific and have not been studied in detail before. Remarkably, all these genes corresponded to various stress associated functions, ranging from abiotic stress sensing to regulating plant stress responses, and included heat-shock genes (OsBiP2, OsMed37_1), transcription factors (OsNAS3, OsTEF1, OsWRKY10, OsWRKY21), transmembrane transporters (OsAAP7A, OsAMT2;1), sugar metabolizing (OsSUS4, α-Gal III) and abiotic stress (OsRCI2-7, SRWD1) genes. Functional data evidences from Arabidopsis heat-shock genes also suggest that OsBIP2 may be associated with thermotolerance of pollen tubes under heat stress conditions. Furthermore, promoters of identified genes were enriched with heat, dehydration, pollen and sugar responsive cis-acting regulatory elements, proposing a common regulatory mechanism might exist in rice for mitigating reproductive stage heat stress. These findings strongly support our results and provide new candidate genes for fast-track development of heat-tolerant rice cultivars.

Indexed as

Databases, GeneticGene Expression Regulation, PlantGenes, PlantGenomicsHeat-Shock ResponseHot TemperatureOryzaPhenotypePlant DevelopmentPlant ProteinsPromoter Regions, GeneticQuantitative Trait LociReproductionStress, PhysiologicalThermotolerancePlant ProteinsBioinformaticsHigh temperatureMarker-assisted breedingMeta-analysisOryza sativa

Identifiers

PMID32643113
OpenAlexW3042143661

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.