RAD-seq as an effective strategy for heterogenous variety identification in plants—a case study in Italian Ryegrass (Lolium multiflorum)

生物 多花黑麦草 鉴定(生物学) 黑麦草 多样性(控制论) 农学 植物 生物技术 禾本科 计算机科学 人工智能
作者
Qingqing Yu,Ling Yao,Yi Xiong,Wenda Zhao,Yi Xiong,Zhixiao Dong,Jian Yang,Junming Zhao,Xinquan Zhang,Xiao Ma
出处
期刊:BMC Plant Biology [BioMed Central]
卷期号:22 (1) 被引量:12
标识
DOI:10.1186/s12870-022-03617-6
摘要

The primary approach for variety distinction in Italian ryegrass is currently the DUS (distinctness, uniformity and stability) test based on phenotypic traits. Considering the diverse genetic background within the population and the complexity of the environment, however, it is challenging to accurately distinguish varieties based on DUS criteria alone. In this study, we proposed the application of high-throughput RAD-seq to distinguish 11 Italian ryegrass varieties with three bulks of 50 individuals per variety. Our findings revealed significant differences among the 11 tested varieties. The PCA, DAPC and STRUCTURE analysis indicated a heterogeneous genetic background for all of them, and the AMOVA analysis also showed large genetic variance among these varieties (ΦST = 0.373), which were clearly distinguished based on phylogenetic analysis. Further nucleotide diversity (Pi) analysis showed that the variety 'Changjiang No.2' had the best intra-variety consistency among 11 tested varieties. Our findings suggest that the RAD-seq could be an effectively alternative method for the variety distinction of Italian ryegrass, as well as a potential tool for open-pollinated varieties (OPVs) of other allogamous species.
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