Evidence map›Paper›PMID 40275165›Full record

SynthesisBMC plant biology2025

Whole-genome meta-analysis coupled with haplotype analysis reveal new genes and functional haplotypes conferring pre-harvest sprouting in rice.

Kelvin Dodzi Aloryi, Nnaemeka Emmanuel Okpala, Mawuli Korsi Amenyogbe, Daniel Bimpong, Benjamin Karikari, Hong Guo, Semiu Folaniyi Bello, Selorm Akaba, Akwasi Yeboah, Abdul Razak Ahmed and 8 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Seed coat-derived ABA regulates seed dormancy ofFrontiers in plant science · 2025
    Article
  3. 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

18 authors.

Kelvin Dodzi Aloryi *Featured Laboratory for Biosynthesis and Target Discovery of Active Components of Traditional Chinese Medicine, School of Traditional Chinese Medicine, Binzhou Medical University, Yantai, 264003, China.ORCID https://orcid.org/0000-0002-3520-8923
Nnaemeka Emmanuel Okpala *Featured Laboratory for Biosynthesis and Target Discovery of Active Components of Traditional Chinese Medicine, School of Traditional Chinese Medicine, Binzhou Medical University, Yantai, 264003, China.ORCID https://orcid.org/0000-0001-5398-2560
Mawuli Korsi AmenyogbeHubei Collaborative Innovation Centre for Grain Industry, College of Agriculture, Yangtze University, Jingzhou, China.
Daniel BimpongHubei Collaborative Innovation Centre for Grain Industry, College of Agriculture, Yangtze University, Jingzhou, China.
Benjamin KarikariDépartement de phytologie, Université Laval, Québec, QC, Canada.
Hong GuoZhejiang Industry Polytechnic College, Shaoxing, China.
Semiu Folaniyi BelloAgriculture Research Group, Organization of African Academic Doctors (OAAD), P. O. Box 25305-00100, Langata, Nairobi, Kenya.
Selorm AkabaSchool of Agriculture, University of Cape Coast, Cape Coast, Ghana.
Akwasi YeboahDepartment of Microbiology and Cell Science, University of Florida, Gainesville, FL, 32603, USA.
Abdul Razak AhmedDepartment of Plant Protection, Akdeniz University Dumlupinar Bulvari, Antalya, 07058, Türkiye.
Patrick Maada NgegbaSierra Leone Agricultural Research Institute, P.M.B 1313, Tower Hill, Freetown, 47235, Sierra Leone.
Nabieu KamaraSierra Leone Agricultural Research Institute, P.M.B 1313, Tower Hill, Freetown, 47235, Sierra Leone.
Juliet Nkiruku AnyanwuCollege of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China.
Danielle Ama EssandohInstitute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, 30602, USA.
Xianjin QiuFeatured Laboratory for Biosynthesis and Target Discovery of Active Components of Traditional Chinese Medicine, School of Traditional Chinese Medicine, Binzhou Medical University, Yantai, 264003, China.
Xiaohai TianHubei Collaborative Innovation Centre for Grain Industry, College of Agriculture, Yangtze University, Jingzhou, China.
Guoli WangFeatured Laboratory for Biosynthesis and Target Discovery of Active Components of Traditional Chinese Medicine, School of Traditional Chinese Medicine, Binzhou Medical University, Yantai, 264003, China.
Tianyue AnFeatured Laboratory for Biosynthesis and Target Discovery of Active Components of Traditional Chinese Medicine, School of Traditional Chinese Medicine, Binzhou Medical University, Yantai, 264003, China. antianyue2007@126.com.

Funding

Natural Science Foundation of Shandong Province ZR2021Qc097
6 · The paper itself

Abstract

backgroundPre-harvest sprouting (PHS), which adversely impacts grain yield and quality, is controlled by seed dormancy genes. However, only a few dormancy-related genes have been characterized, and the effects of allelic variation in genes and the genetic basis of seed dormancy in rice remain largely unknown. Here, we performed a whole-genome meta-quantitative trait loci study to elucidate the genetic basis of seed dormancy in rice.

resultOne hundred and sixty-seven QTL were identified for PHS from which 134 were successfully projected onto the reference map yielding 20 consensus regions, meta-QTL (mQTL). The mean confidence interval of the mQTL was narrower (9.56-fold reduction) than that of the initial QTL. Six of the 20 identified mQTL were designated as breeders' mQTL based on their small confidence intervals, large phenotypic variance explained, and the involvement of high number of QTL. Further, we retrieved 559 high-confidence genes from breeders' mQTL regions conferring resistance to PHS. Comparative analysis of genes found in breeders' mQTL loci and an RNA-seq-based transcriptomic dataset discovered 34 common genes. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis revealed a significant enrichment of the common genes in amino sugar and nucleotide sugar metabolism, carbon metabolism, and carbon fixation in photosynthetic organs. Combined in silico expression profiling and qRT-PCR validation showed that LOC_Os10g18364, LOC_Os10g21940, LOC_Os10g22590, and LOC_Os10g25140 exhibited high fold-change expression in PHS resistant cultivar (23xS-261) than PHS susceptible cultivar (23xS-262). Association analysis of these genes with germination rate index demonstrated that LOC_Os10g18364

conclusionIn summary, this study delineates the genetic basis of PHS and provides a new set of target genes for improving PHS resistance. The natural variants identified in these genes and markers associated with breeders' mQTL serve as potential resources for incorporating PHS resistance in rice.

Indexed as

Genes, PlantGenome, PlantGerminationHaplotypesOryzaPlant DormancyQuantitative Trait LociBreeders’ mQTLHaplotypesmeta-QTLPre-harvest sproutingRice

Identifiers

PMID40275165
PMCPMC12023606

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.