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1.
Genome Biol ; 22(1): 189, 2021 06 24.
Article in English | MEDLINE | ID: mdl-34167554

ABSTRACT

BACKGROUND: N6-methyladenosine (m6A) is the most common RNA modification in eukaryotes and has been implicated as a novel epigenetic marker that is involved in various biological processes. The pattern and functional dissection of m6A in the regulation of several major human viral diseases have already been reported. However, the patterns and functions of m6A distribution in plant disease bursting remain largely unknown. RESULTS: We analyse the high-quality m6A methylomes in rice plants infected with two devastating viruses. We find that the m6A methylation is mainly associated with genes that are not actively expressed in virus-infected rice plants. We also detect different m6A peak distributions on the same gene, which may contribute to different antiviral modes between rice stripe virus or rice black-stripe dwarf virus infection. Interestingly, we observe increased levels of m6A methylation in rice plant response to virus infection. Several antiviral pathway-related genes, such as RNA silencing-, resistance-, and fundamental antiviral phytohormone metabolic-related genes, are also m6A methylated. The level of m6A methylation is tightly associated with its relative expression levels. CONCLUSIONS: We revealed the dynamics of m6A modification during the interaction between rice and viruses, which may act as a main regulatory strategy in gene expression. Our investigations highlight the significance of m6A modifications in interactions between plant and viruses, especially in regulating the expression of genes involved in key pathways.


Subject(s)
Adenine/analogs & derivatives , Oryza/genetics , Plant Diseases/genetics , Plant Proteins/genetics , Plant Viruses/pathogenicity , RNA, Plant/genetics , Tenuivirus/pathogenicity , Adenine/metabolism , Epigenesis, Genetic , Gene Expression Profiling , Gene Expression Regulation, Plant , Gene Ontology , Host-Pathogen Interactions/genetics , Methylation , Molecular Sequence Annotation , Oryza/metabolism , Oryza/virology , Plant Diseases/virology , Plant Growth Regulators/genetics , Plant Growth Regulators/metabolism , Plant Proteins/classification , Plant Proteins/metabolism , Plant Viruses/growth & development , Plant Viruses/metabolism , RNA Processing, Post-Transcriptional , RNA, Plant/metabolism , Tenuivirus/growth & development , Tenuivirus/metabolism
2.
Viruses ; 13(2)2021 01 28.
Article in English | MEDLINE | ID: mdl-33525612

ABSTRACT

Broad bean wilt virus 2 (BBWV-2), which belongs to the genus Fabavirus of the family Secoviridae, is an important pathogen that causes damage to broad bean, pepper, yam, spinach and other economically important ornamental and horticultural crops worldwide. Previously, only limited reports have shown the genetic variation of BBWV2. Meanwhile, the detailed evolutionary changes, synonymous codon usage bias and host adaptation of this virus are largely unclear. Here, we performed comprehensive analyses of the phylodynamics, reassortment, composition bias and codon usage pattern of BBWV2 using forty-two complete genome sequences of BBWV-2 isolates together with two other full-length RNA1 sequences and six full-length RNA2 sequences. Both recombination and reassortment had a significant influence on the genomic evolution of BBWV2. Through phylogenetic analysis we detected three and four lineages based on the ORF1 and ORF2 nonrecombinant sequences, respectively. The evolutionary rates of the two BBWV2 ORF coding sequences were 8.895 × 10-4 and 4.560 × 10-4 subs/site/year, respectively. We found a relatively conserved and stable genomic composition with a lower codon usage choice in the two BBWV2 protein coding sequences. ENC-plot and neutrality plot analyses showed that natural selection is the key factor shaping the codon usage pattern of BBWV2. Strong correlations between BBWV2 and broad bean and pepper were observed from similarity index (SiD), codon adaptation index (CAI) and relative codon deoptimization index (RCDI) analyses. Our study is the first to evaluate the phylodynamics, codon usage patterns and adaptive evolution of a fabavirus, and our results may be useful for the understanding of the origin of this virus.


Subject(s)
Codon Usage , Fabavirus/genetics , Genome, Viral , Plants/virology , Adaptation, Physiological , Codon , Evolution, Molecular , Fabavirus/physiology , Host-Pathogen Interactions , Open Reading Frames , Phylogeny , Plant Diseases/virology , Plant Physiological Phenomena , Recombination, Genetic , Selection, Genetic
3.
Infect Genet Evol ; 86: 104601, 2020 12.
Article in English | MEDLINE | ID: mdl-33122052

ABSTRACT

Rice black-streaked dwarf virus (RBSDV) belongs to the genus Fijivirus of the family Reoviridae and is an important pathogen that damages rice, maize and wheat worldwide. Previously, several reports have described the genetic variation and population structure of RBSDV. However, the details of the evolutionary changes, synonymous codon usage patterns and host adaptation of the virus are largely unclear. Here, we performed a detailed analysis of the codon usage and host adaptability of RBSDV based on 130 full-length P8 and 234 full-length P10 sequences. Infrequent recombination and frequent segment reassortment influence the genomic evolution of RBSDV. Our phylogenetic analysis found three and four lineages based on the P8 and P10 non-recombinant sequences respectively. We found relatively stable and conserved genomic composition with lower codon usage choice in the RBSDV P8 and P10 protein coding sequences. Both ENC-plot and neutrality-plot analyses showed that natural selection is the key factor that shapes the codon usage pattern of RBSDV. Codon adaptation index (CAI), relative codon deoptimization index (RCDI) and similarity index (SiD) analyses indicated strong correlation between RBSDV and rice rather than maize, wheat or Laodelphax striatellus. Our study provides deep insight into the evaluation of the codon usage pattern and adaptive evolution of RBSDV based on P8 and P10 sequences and should be taken into consideration for the prevention and control of this virus.


Subject(s)
Codon Usage , Host-Pathogen Interactions , Open Reading Frames , Plant Viruses/genetics , Viral Proteins/genetics , Evolution, Molecular , Plant Diseases/virology , Selection, Genetic
4.
Mol Phylogenet Evol ; 149: 106848, 2020 08.
Article in English | MEDLINE | ID: mdl-32380283

ABSTRACT

Sugarcane mosaic virus (SCMV), a member of the genus Potyvirus in the family Potyviridae, is an important pathogen that causes mosaic diseases in maize, sugarcane, canna and other graminaceous species worldwide. Previously, several reports have showed the genetic variation and population structure of SCMV. However, the evolutionary dynamics, synonymous codon usage pattern and adaptive evolution of the virus is unclear. In this study, we performed comprehensive analyses of phylodynamics, composition bias and codon usage of SCMV using 108 complete genomic sequences. Our phylogenetic analysis found six host- and geographically confined phylogenetic lineages within the SCMV non-recombinant isolates. We found a relatively stable and conserved genomic composition with a lower codon usage choice in the SCMV protein coding sequences. Mutation pressure and natural selection have shaped the codon usage patterns of the SCMV protein coding sequences with natural selection being the dominant factor. The codon adaptation index (CAI), relative codon deoptimization index (RCDI) and similarity index (SiD) analyses revealed a stronger correlation between SCMV and maize than between SCMV and sugarcane or canna. Our study is the first to evaluate the codon usage pattern of SCMV based on complete sequences and may provide a better understanding of the origin of SCMV and its evolutionary patterns for future research.


Subject(s)
Adaptation, Physiological/genetics , Genome, Viral , Host-Pathogen Interactions/genetics , Potyvirus/genetics , Base Sequence , Bayes Theorem , Codon Usage , Likelihood Functions , Nucleotides/genetics , Open Reading Frames , Phylogeny , Principal Component Analysis , Recombination, Genetic
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