Evidence map›Paper›PMID 37349684›Full record

ArticleBMC plant biology2023

Bulk segregant analysis coupled with transcriptomics and metabolomics revealed key regulators of bacterial leaf blight resistance in rice.

Xiaozhi Ma, Manshan Zhu, Wuge Liu, Jinhua Li, Yilong Liao, Dilin Liu, Mengya Jin, Chongyun Fu, Feng Wang

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Analysis of the Aging-Related AP2/ERF Transcription Factor Gene Family inInternational journal of molecular sciences · 2024
    Article
  4. Article
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 1 institution in 1 country.

Xiaozhi MaRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China.
Manshan ZhuRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China.
Wuge LiuRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China.
Jinhua LiRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China.
Yilong LiaoRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China.
Dilin LiuRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China.
Mengya JinRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China.
Chongyun FuRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China. fcysd2901@126.com.
Feng WangRice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China. fwang1631@163.com.
Rice Research Institute · CN

Funding

Joint Funds of the National Natural Science Foundation of China Grant No. U20A2035Lingnan Laboratory Project NT2021001National Natural Science Foundation of China 31901531Natural Science Foundation of Guangdong Province 2020A1515011052Provincial Key Project-Rice Molecular Breeding Technology Innovation and High-yield and High-Quality New Variety Breeding No. 1
6 · The paper itself

Abstract

backgroundBacterial leaf blight (BLB) is a highly destructive disease, causing significant yield losses in rice (Oryza sativa). Genetic variation is contemplated as the most effective measure for inducing resistance in plants. The mutant line T1247 derived from R3550 (BLB susceptible) was highly resistant to BLB. Therefore, by utilizing this valuable source, we employed bulk segregant analysis (BSA) and transcriptome profiling to identify the genetic basis of BLB resistance in T1247.

resultsThe differential subtraction method in BSA identified a quantitative trait locus (QTL) on chromosome 11 spanning a 27-27.45 Mb region with 33 genes and 4 differentially expressed genes (DEGs). Four DEGs (P < 0.01) with three putative candidate genes, OsR498G1120557200, OsR498G1120555700, and OsR498G1120563600,0.01 in the QTL region were identified with specific regulation as a response to BLB inoculation. Moreover, transcriptome profiling identified 37 resistance analogs genes displaying differential regulation.

conclusionsOur study provides a substantial addition to the available information regarding QTLs associated with BLB, and further functional verification of identified candidate genes can broaden the scope of understanding the BLB resistance mechanism in rice.

Indexed as

OryzaDisease ResistanceGene Expression ProfilingMetabolomicsPlant DiseasesQuantitative Trait LociTranscriptomeBacterial leaf blightDisease resistanceGeneticsR genesRice

Identifiers

PMID37349684
PMCPMC10286441
OpenAlexW4381617391

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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.