首页> 外文OA文献 >Genome-wide association study discovered favorable single nucleotide polymorphisms and candidate genes associated with ramet number in ramie (Boehmeria nivea L.)
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Genome-wide association study discovered favorable single nucleotide polymorphisms and candidate genes associated with ramet number in ramie (Boehmeria nivea L.)

机译:基因组 - 范围的协会研究发现了与苎麻(Boehmeria Nivea L)中的ramet数相关的有利的单核苷酸多态性和候选基因

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摘要

Abstract Background Ramie (Boehmeria nivea L.) is one of the most important natural fiber crops and an important forage grass in south China. Ramet number, which is a quantitative trait controlled by multigenes, is one of the most important agronomic traits in plants because the ramet number per plant is a key component of grain yield and biomass. However, the genetic variation and genetic architecture of ramie ramet number are rarely known. Results A genome-wide association study was performed using a panel of 112 core germplasms and 108,888 single nucleotide polymorphisms (SNPs) detected using specific-locus amplified fragment sequencing technology. Trait-SNP association analysis detected 44 significant SNPs that were associated with ramet number at P < 0.01. The favorable SNP Marker20170–64 emerged at least twice in the three detected stages and was validated to be associated with the ramie ramet number using genomic DNA polymerase chain reaction with an F1 hybrid progeny population. Comparative genome analysis predicted nine candidate genes for ramet number based on Marker20170–64. Real-time quantitative polymerase chain reaction analysis indicated that six of the genes were specific to upregulation in the ramie variety with high ramet number. These results suggest that these genes could be considered as ramet number-associated candidates in ramie. Conclusions The identified loci or genes may be promising targets for genetic engineering and selection for modulating the ramet number in ramie. Our work improves understanding of the genetics of ramet number in ramie core germplasms and provides tools for marker-assisted selection for improvement of agricultural traits.
机译:摘要背景苎麻(Boehmeria Nivea L.)是中国最重要的天然纤维作物之一,也是华南地区的重要牧草草之一。作为多指数控制的定量性状的ramet数是植物中最重要的农艺性状之一,因为每个植物的椎间射线数是籽粒产量和生物质的关键组成部分。然而,苎麻苎麻数的遗传变异和遗传结构很少是已知的。结果使用特异性基因座扩增的片段测序技术检测到112个核心种质和108,888个单核苷酸多态性(SNP)的112个核心种质和108,888个单核苷酸多态性(SNP)进行基因组 - 宽的关联研究。 TRAIT-SNP关联分析检测到44个有效的SNP,其与P <0.01的ramet数相关联。有利的SN​​P Marker20170-64在三个检测的阶段中出现至少两次,并使用与F1杂交后代群体的基因组DNA聚合酶链反应验证验证与苎麻苎麻数相关联。基于Marker20170-64的基于MARKER20170-64,对比基因组分析预测了射击数的九个候选基因。实时定量聚合酶链反应分析表明,六种基因特异于苎麻品种中的上调,具有高次数。这些结果表明,这些基因可以被认为是苎麻中的ramet编号相关的候选者。结论所识别的基因座或基因可能是遗传工程和选择苎麻中苎麻数的遗传工程和选择的有效目标。我们的工作改善了对苎麻核心种质中的ramet号码的遗传学的理解,并为改善农业特征提供了标记辅助选择的工具。

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