Back to Search
Start Over
Genetic diversity and population structure of beet necrotic yellow vein virus in China
Genetic diversity and population structure of beet necrotic yellow vein virus in China
- Source :
- Virus research. 205
- Publication Year :
- 2015
-
Abstract
- Beet necrotic yellow vein virus (BNYVV) is a serious threat to the sugar beet industry worldwide. However, little information is available regarding the genetic diversity and population structure of BNYVV in China. Here, we analyzed multiple sequences from four genomic regions (CP, RNA3, RNA4 and RNA5) of a set of Chinese isolates. Sequence analyses revealed that several isolates were mixed infections of variants with different genotypes and/or different p25 tetrad motifs. In total, 12 distinct p25 tetrads were found in the Chinese BNYVV population, of which four tetrads were newly identified. Phylogenetic analyses based on four genes (CP, RNA3-p25, RNA4-p31 and RNA5-p26) in isolates from around the world revealed the existence of two to four groups, which mostly corresponded to previously reported phylogenetic groups. Two new subgroups and a new group were identified from the Chinese isolates in p25 and p26 trees, respectively. Selection pressure analysis indicated that there was a positive selection pressure on the p25 from the Chinese isolates, but the other three proteins were under a negative selection pressure. There was frequent gene flow between geographically distant populations, which meant that BNYVV populations from different provinces were not geographically differentiated.
- Subjects :
- Cancer Research
China
Genotype
Population
Molecular Sequence Data
Gene flow
Plant Viruses
Negative selection
Viral Proteins
Virology
Beet necrotic yellow vein virus
RNA Viruses
education
Phylogeny
Plant Diseases
Genetics
Genetic diversity
education.field_of_study
biology
Phylogenetic tree
Base Sequence
Genetic Variation
biology.organism_classification
Infectious Diseases
Sugar beet
Beta vulgaris
Subjects
Details
- ISSN :
- 18727492
- Volume :
- 205
- Database :
- OpenAIRE
- Journal :
- Virus research
- Accession number :
- edsair.doi.dedup.....fd249dc85a6c5e73c3235301ce28e7ed