Allele and transcriptome mining in Gossypium hirsutum reveals variation in candidate genes at genetic loci affecting cotton fiber quality and textile flammability.

IF 4.8 2区 生物学 Q1 PLANT SCIENCES BMC Plant Biology Pub Date : 2025-03-10 DOI:10.1186/s12870-025-06306-2
Gregory N Thyssen, Wayne Smith, Marina Naoumkina, Ganesh Pinnika, Johnie N Jenkins, Jack C McCarty, Ping Li, Christopher B Florane, Don C Jones, David D Fang
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Abstract

Background: Breeding valuable traits in crop plants requires identifying diverse alleles in the germplasm that are likely to affect desirable characteristics. The genetic diversity of historic cultivars of cotton is a reservoir of potentially important genes for crop improvement and genetic research. Diversity in the characteristics of harvested cotton fibers affects their suitability for end-use applications. Candidate loci and genes have been identified that affect the length, strength, and maturity of cotton fibers which affect the quality and value of the yarn, thread and textile. Natural genetic mechanisms in the plant may also affect the flammability of the produced textiles.

Results: Here we show that a combination of allele mining and transcriptome analysis can identify candidate genes for cotton fiber traits including strength and perhaps flammability. We found novel DNA variants in fiber-expressed gene families in 132 newly sequenced cotton varieties and identified genes with genotype-specific RNA expression.

Conclusions: Among these, we identified novel variation in DNA sequence and RNA expression in genes at major QTL qD04-ELO-WLIM (JGI-Gohir.D04G160000), qA13-MIC (Gohir.A13G157500), qA07-STR (Gohir.A07G191600), supported the candidacy of qD11-UHML-KRP6 (Gohir.D11G197900) and qD13-STR (Gohir.D13G17450), and identified an additional A03-WLIM transcription factor gene (Gohir.A03G182100) and several RNA expression variant candidates of potential flammability genes that may be useful for plant biologists and cotton breeders. Candidate genes for traits like flame resistance that are likely due to the combination of many small effect QTL can benefit from this multi-mining approach. We provide an annotated variant call format (vcf) file with variations at 24,996 loci that are predicted to affect 10,418 cotton fiber genes in the historic breeding germplasm.

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棉的等位基因和转录组挖掘揭示了影响棉纤维品质和纺织品可燃性的候选基因位点的变异。
背景:在作物植物中培育有价值的性状需要鉴定种质中可能影响理想性状的不同等位基因。棉花历史品种的遗传多样性为作物改良和遗传研究提供了潜在的重要基因库。收获棉纤维特性的多样性影响其对最终用途的适用性。已经确定了影响棉纤维长度、强度和成熟度的候选位点和基因,从而影响棉纱、棉线和纺织品的质量和价值。植物中的自然遗传机制也可能影响所生产纺织品的可燃性。结果:在这里,我们展示了等位基因挖掘和转录组分析的结合可以确定棉纤维性状的候选基因,包括强度和可燃性。我们在132个新测序的棉花品种的纤维表达基因家族中发现了新的DNA变异,并鉴定了具有基因型特异性RNA表达的基因。结论:其中,我们在主要QTL qD04-ELO-WLIM (JGI-Gohir.D04G160000)、qA13-MIC (Gohir.A13G157500)、qA07-STR (Gohir.A07G191600)的基因中发现了新的DNA序列和RNA表达变异,支持了qD11-UHML-KRP6 (Gohir.D11G197900)和qD13-STR (Gohir.D13G17450)的候选性。并鉴定了一个额外的A03-WLIM转录因子基因(Gohir.A03G182100)和几个潜在可燃性基因的RNA表达变异候选基因,这些基因可能对植物生物学家和棉花育种者有用。候选基因,如阻燃性,可能是由于许多小效应QTL的组合,可以从这种多重挖掘方法中受益。我们提供了一个注释变异调用格式(vcf)文件,其中包含24,996个位点的变异,预测影响历史育种种质中的10,418个棉纤维基因。
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来源期刊
BMC Plant Biology
BMC Plant Biology 生物-植物科学
CiteScore
8.40
自引率
3.80%
发文量
539
审稿时长
3.8 months
期刊介绍: BMC Plant Biology is an open access, peer-reviewed journal that considers articles on all aspects of plant biology, including molecular, cellular, tissue, organ and whole organism research.
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