Council for Agricultural Research and Economics - Research Centre for Genomics and Bioinformatics, Via S. Protaso 302, 29017, Fiorenzuola d'Arda , PC, Italy.
Department of Life Sciences, University of Modena and Reggio Emilia, Via Amendola 2, Pad. Besta, 42122, Reggio Emilia, Italy.
Theor Appl Genet. 2022 Feb;135(2):553-569. doi: 10.1007/s00122-021-03985-x. Epub 2021 Nov 10.
Exome sequencing-based allele mining for frost tolerance suggests HvCBF14 rather than CNV at Fr-H2 locus is the main responsible of frost tolerance in barley. Wild relatives, landraces and old cultivars of barley represent a reservoir of untapped and potentially important genes for crop improvement, and the recent sequencing technologies provide the opportunity to mine the existing genetic diversity and to identify new genes/alleles for the traits of interest. In the present study, we use frost tolerance and vernalization requirement as case studies to demonstrate the power of allele mining carried out on exome sequencing data generated from > 400 barley accessions. New deletions in the first intron of VRN-H1 were identified and linked to a reduced vernalization requirement, while the allelic diversity of HvCBF2a, HvCBF4b and HvCBF14 was investigated by combining the analysis of SNPs and read counts. This approach has proven very effective to identify gene paralogs and copy number variants of HvCBF2 and the HvCBF4b-HvCBF2a segment. A multiple linear regression model which considers allelic variation at these genes suggests a major involvement of HvCBF14, rather than copy number variation of HvCBF4b-HvCBF2a, in controlling frost tolerance in barley. Overall, the present study provides powerful resource and tools to discover novel alleles at relevant genes in barley.
基于外显子组测序的等位基因挖掘表明,耐霜性是大麦的主要特征,而不是 Fr-H2 位点的 HvCBF14 或 CNV。野生近缘种、地方品种和古老的大麦品种代表了未开发的潜在重要基因库,用于作物改良,而最近的测序技术提供了挖掘现有遗传多样性和识别新基因/等位基因的机会,以满足感兴趣的性状。在本研究中,我们以耐霜性和春化要求为例,展示了对来自>400 个大麦品种的外显子组测序数据进行等位基因挖掘的能力。鉴定到 VRN-H1 第一个内含子的新缺失与春化要求降低有关,而通过结合 SNP 和读长计数分析研究了 HvCBF2a、HvCBF4b 和 HvCBF14 的等位基因多样性。这种方法非常有效地识别了 HvCBF2 和 HvCBF4b-HvCBF2a 片段的基因同源物和拷贝数变异。考虑到这些基因的等位基因变异的多元线性回归模型表明,HvCBF14 而不是 HvCBF4b-HvCBF2a 的拷贝数变异,在控制大麦的耐霜性方面起着主要作用。总的来说,本研究为在大麦中发现相关基因的新等位基因提供了有力的资源和工具。