Mapping-by-Sequencing via eBSRmap (Easy Bulk Segregate RNA Mapping) in a B73 EMS Mutant Population.

Yang Cui, Jing Yang, Haiming Zhao, Hainan Zhao, Xiangbo Zhang

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In one paragraph

Article in Genes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Yang CuiFrontiers Science Center for Molecular Design Breeding (MOE), State Key Laboratory of Maize Bio-Breeding, Key Laboratory of Genome Editing Research and Application, Ministry of Agriculture and Rural Affairs, National Maize Improvement Center, College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China.ORCID 0000-0002-4732-8877

Jing YangCenter for Agricultural Genetic Resources Research, Shanxi Agricultural University, Taiyuan 030000, China.

Haiming ZhaoCollege of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China.

Hainan ZhaoFrontiers Science Center for Molecular Design Breeding (MOE), State Key Laboratory of Maize Bio-Breeding, Key Laboratory of Genome Editing Research and Application, Ministry of Agriculture and Rural Affairs, National Maize Improvement Center, College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China.ORCID 0000-0003-0235-6126

Xiangbo ZhangCrop Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China.

Funding

Biological Breeding-National Science and Technology Major Project 2023ZD04074Sichuan Provincial Finance Department Independent Innovation Program 2022ZZCX071

6 · The paper itself

Abstract

backgroundMaize, crucial for food, feed, and industry, is a model for genetic and breeding research. Kernel traits directly affect maize yield. This study developed the eBSRmap method to simplify gene cloning related to maize kernel traits.

methodsThe eBSRmap method constructs a maize EMS mutant population, then conducts RNA-seq on pooled mutant and wild-type samples to identify SNP markers and map candidate genes for kernel trait mutations.

resultsApplied to a maize EMS mutant population, eBSRmap identified candidate genes for twenty kernel trait mutants, successfully mapped twelve, and eight were confirmed by co-segregation analysis (success rate: 40%). The identified genes showed mutations like missense and stop-gained, related to phenotypes such as small, shrunk, and defective kernels.

conclusionseBSRmap offers a fast and affordable way to map genes and identify candidate genes in a large-scale mutant population, aiding the understanding of gene functions in maize. The identified candidate genes can be further validated by functional analysis, which is significant for maize breeding and genetic improvement.

Indexed as

Chromosome MappingZea maysEthyl MethanesulfonateMutationPhenotypePlant BreedingPolymorphism, Single NucleotideQuantitative Trait LociSequence Analysis, RNAEthyl Methanesulfonatecandidate geneseBSRmapEMS mutantgene mappingKernel traitsmaizeRNA-seqSNP

Identifiers

PMID41300789

DOI10.3390/genes16111337

PMCPMC12652423

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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.