Complete Genomic Sequence Analysis of a Sugarcane Streak Mosaic Virus Isolate from Yunnan Province of China

被引:3
|
作者
Su, Xiao-Ling [1 ]
Mai, Zhong-Yue [1 ]
Wei, Kun-Jiang [1 ]
Huang, Yang-Jian [1 ]
Shan, Hong-Li [2 ]
Cheng, De-Jie [1 ]
机构
[1] Guangxi Univ, Agr Coll, Guangxi Key Lab Agroenvironm & Agr Prod Safety, Nanning 520004, Peoples R China
[2] Yunnan Acad Agr Sci, Sugarcane Res Inst, Yunnan Key Lab Sugarcane Genet Improvement, Kaiyuan 661699, Peoples R China
基金
美国国家科学基金会;
关键词
sugarcane streak mosaic virus; phylogenetic analysis; recombination analysis; selective pressure analysis; GENETIC DIVERSITY; MOLECULAR CHARACTERIZATION; DNA-SEQUENCES; RECOMBINATION; DISEASE; POPULATION; SITES;
D O I
10.3390/genes14091713
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
In recent years, the sugarcane streak mosaic virus (SCSMV) has been the primary pathogen of sugarcane mosaic disease in southern China. In this study, the complete genome of a sugarcane mosaic sample (named YN-21) from Kaiyuan City, Yunnan Province, was amplified and sequenced. By comparing the amino acid sequences of YN-21 and 15 other SCSMV isolates from the NCBI database, the protease recognition site of SCSMV was determined. YN-21 had the highest nucleotide and amino acid identities of 97.66% and 99.30%, respectively, in comparison with the SCSMV isolate (JF488066). The P1 had the highest variability of 83.38-99.72% in the amino acid sequence, and 6K2 was the most conserved, with 97.92-100% amino acid sequence identity. A phylogenetic analysis of nucleotide and amino acid sequences clustered the 16 SCSMV isolates into two groups. All the Chinese isolates were clustered into the same group, and YN-21 was closely related to the Yunnan and Hainan isolates in China. Recombination analysis showed no major recombination sites in YN-21. Selective pressure analysis showed that the dN/dS values of 11 proteins of SCSMV were less than 1, all of which were undergoing negative selection. These results can provide practical guidance for monitoring SCSMV epidemics and genetics.
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页数:13
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