,
Alfalfa mosaic virus (AMV), the type member of the genus Alfamovirus (family Bromoviridae) (Bujarski et al., 2012), has a tripartite genome composed of single-stranded positive-sense RNAs, of which RNA1 and RNA2 encode the viral replicase proteins P1 and P2, respectively, and RNA3 encode the movement protein (MP) and coat protein (CP) (Bol, 1999; van Dun et al., 1987). The CP is translated from a subgenomic messenger RNA4, which is synthesized during the replication of RNA3 (Smit and Jaspars, 1982). AMV can be transmitted by several aphid species in a nonpersistent manner, and also by mechanical inoculation, seed and pollen of some plants (Edwardson and Christie, 1997; He et al., 2010; Hiruki and Hampton, 1990). AMV was first isolated from alfalfa (Medicago sativa) in the United States in 1931 (Weimer, 1931) and to date, it has occurred in several countries (including Australia, New Zealand, Saudi Arabia, North and South America, France, England, Italy, Greece, Egypt, China, and Iran) with the various degree of economic losses (Al-Shahwan, 2002; Che et al., 2020; Fletcher, 2001; Maina et al., 2019; Massumi et al., 2012; Sawalha and Mansour, 1996). This virus can naturally infect 698 species of 167 genera in 71 families (Edwardson and Christie 1997; Fletcher, 2001; Jasper and Bos, 1980; Xu and Nie, 2006). In Iran, the incidence of AMV has been reported in more than 25 plant species in different regions by serological and in some cases molecular methods (Esfandiari et al., 2005; Golnaraghi et al., 2004; Hamzeh et al., 2010; Mangeli et al., 2019; Massumi et al., 2012; Pourrahim and Farzadfar 2015; Zenaddini et al., 2004). Although AMV has long been known as an important pathogen in Iran, it has not been well characterized at the entire genomic sequence, and the available sequence data are predominantly confined to CP sequence. Vinca minor (family Apocynaceae) commonly known as lesser or dwarf periwinkle, is a perennial subshrub (United States Department of Agriculture, 2020) extensively grown as a flowering evergreen ornamental and ground cover plant. Lesser Periwinkle is not only an ornamental plant with lilac-blue flowers but also a medicinal value producing important indole alkaloids especially vincamine, as the major alkaloid found in the leaves with cerebrovasodilatory and neuroprotective activity (Farahanikia et al., 2011; Vas and Gulyás, 2005). Wisteria sinensis (family Fabaceae), is a perennial flowering climbing species with extreme longevity (Jiang et al., 2011), which is used in Iran and several other countries as an ornamental plant. Up to now, no information for infection of lesser periwinkle and wisteria with AMV has been reported worldwide. High-throughput sequencing can be used to better understand plant diseases, especially when the viral etiology is unknown (Prabha et al., 2013). Deep sequencing of the transcriptome (RNA-seq) allows us to find new viruses, investigate their genome, and determine their single nucleotide polymorphisms (SNPs) within a replicating population (Adams et al., 2009; Wu et al., 2015). Studies concerning the genetic variability and molecular evolutionary history of AMV will be helpful to understand the effects of variation caused by mutation, recombination, selection pressure, and adaptation in viral populations which leads to developing breeding programmes and sustainable management schemes (Moradi and Mehrvar, 2019). Very little is known about the genetic structure and evolution of AMV in the world. Therefore, the general objectives of this study were to (1) determining the complete genome of AMV isolates obtained from lesser periwinkle and wisteria as its new hosts (2) the phylogenetic relationships of new isolates to those already described elsewhere (3) comparative studies of the population genetic structure of AMV and determine the main evolutionary and demographic mechanisms responsible for the observed population genetic structure. The CP gene is one of the most common molecular markers for the investigation of genetic diversity and molecular evolution in many plant viruses (Cuevas et al., 2012; Gao et al., 2016; Song et al., 2019) and was therefore selected for this study.
Materials and Methods
RNA isolation, cDNA library preparation, RNA-sequencing, and bioinformatics analysis
In July to June 2020, V. minor and W. sinensis leaf samples exhibiting severe virus-like disease symptoms of yellow halo, bright yellow mottle, or mosaic (Fig. 1) were collected from urban areas Mashhad, Razavi Khorasan province, in northeast Iran. To identify the causal agent(s) of this disease, total RNA was extracted from the one symptomatic leaf sample of each plant using SV Total RNA Isolation Kit (Promega, Madison, WI, USA) according to the manufacturer’s specifications. RNA-seq libraries were prepared by Illumina TruSeq Stranded Total RNA sample preparation kit with Ribo-Zero Plant rRNA Removal and sequenced using an Illumina NovaSeq 6000 (Macrogen, Seoul, Korea) with 2 × 151 bp paired-end reads. After adapter trimming and quality control, the clean reads of symptomatic plants were mapped to reads from healthy-looking plants. Unmapped reads were used for viral genome de novo assembly using CLC Genomics Workbench v.20 (CLC Bio, Qiagen, Aarhus, Denmark). All the contigs were subjected to BlastN and BlastX interrogation of the NCBI nucleotide and amino acid databases. Contigs that matched plant viruses were identified and imported to Geneious Prime v. 2019.1.3 (Biomatters, Auckland, New Zealand), and multiple alignments with reference sequences were performed using ClustalW (Thompson et al., 1994). The open reading frame prediction, annotation of the final sequences, gene translation, and prediction of deduced proteins were done in Geneious Prime v. 2019.1.3 (Biomatters). Motif searches were conducted in PROSITE (http://www.expasy.ch/), Pfam (http://pfam.sanger.ac.uk/), and CDD (http://www.ncbi.nlm.nih.gov/Structure/cdd/wrpsb.cgi) databases. Reverse transcription polymerase chain reaction (RT-PCR) and Sanger sequencing method were used to further validate the occurrence of RNA-seq-detected virus in the samples with specific primers which were designed based on the CP region of the obtained contigs. Additional primers were designed from each viral genome sequence using the NCBI tool Primer-Blast (data not shown). SNPs were also determined using Geneious Prime.
Recombination/reassortment analysis
Assessment of the recombination/reassortment events in the nearly complete genomes of AMV from this study and those retrieved from GenBank (n = 13) was carried out using different algorithms implemented in RDP v.4.16 (Martin et al., 2015). A Bonferroni-corrected P-value cutoff of 0.05 and the option of “Sequences are linear” were selected. To reduce the possibility of obtaining false positives, recombination events supported by at least four methods with an associated P-value less than 10−6 were considered to be significant.
Sequence comparison and phylogenetic analysis
The nucleic acid sequences of P1, P2, MP, and CP genes of AMV isolates from Iran were aligned with the homologous sequences of other AMV isolates from the GenBank database by ClustalW using the IUB DNA weight matrix, whereas amino acid sequences were aligned by MUSCLE implemented in Geneious Prime version 2019.1.3 (Biomatters). Comparison of nucleotide and amino acid sequence identities were carried out using the Geneious Prime v. 2019.1.3 (Biomatters). The relationships of the four aligned open reading frame sequences were assessed using neighbor-joining (NJ) and maximum likelihood methods in MEGAX (Kumar et al., 2018). Branch support was evaluated by Kimura’s two-parameter option, which was used to calculate 1,000 bootstrap replications. Genetic distances were estimated using the Kimura-2 parameter model in MEGAX and standard deviations were calculated by boot-strapping with 1,000 replicates.
Analysis of the extent of selection pressure on each cistron and across the sites
The nucleotide diversity (π) value and the extent of selective pressure were measured by comparing rates of synonymous (dS) and nonsynonymous (dN) substitutions among protein coding sequences using the DnaSP6 (Rozas et al., 2017). We further identified sites under positive selection using single-likelihood ancestor counting (SLAC), fast unbiased Bayesian approximation (FUBAR), fixed effects likelihood (FEL), internal fixed effects likelihood (IFEL), and mixed effects model of evolution (MEME) in Datamonkey (http://www.datamonkey.org/) (Pond and Frost, 2005).
Genetic diversity and population genetic differentiation based on CP sequences
The CP gene is an ideal target for virus diversity analysis due to its pivotal role in the virus life cycle, and there are large sequence datasets available in GenBank. Accordingly, CP gene sequences of 107 AMV isolates (three from this study and 104 retrieved from GenBank) (Supplementary Table 1) were used to determine phylogenetic correlation, to estimate genetic diversity parameters, to analyze subpopulation differentiation, and to investigate the important evolutionary factors shaping the genetic structure of AMV on a global scale. A codon-based alignment was performed using the MUSCLE algorithm (Edgar, 2004) included in MEGAX. Population genetic parameters were calculated using DnaSP version 6.10.04 software (Rozas et al., 2017) based on variant groups and geographical distributions. Tajima’s D (Tajima, 1989), Fu and Li’s D&F (Fu and Li, 1993) statistical tests, implemented in DnaSP6, were applied to evaluate the hypothesis of neutral selection acting on the CP gene. Genetic differentiation between populations was examined using several statistics: Ks*, Kst*, Z*, and Snn based on permutation statistical tests with 1,000 replicates (Hudson, 2000). The null hypothesis of no genetic differentiation is rejected, if the test statistics (Ks*, Kst*, Z*, and Snn) strongly supported by P-values < 0.05. The degree of genetic differentiation or the level of gene flow between AMV populations was measured by the fixation index (FST) (Wright, 1951). FST can take values from 0, no genetic differentiation and complete gene flow, to 1, complete genetic differentiation as a consequence of null gene flow. Generally, FST > 0.33 implies infrequent gene flow, while FST < 0.33 indicates frequent gene flow (Rozas et al., 2017).
Results
Molecular genomic characterization of AMV isolates
Illumina sequencer produced 68,036,950 reads for a total of 10,118,891,750 bp in infected wisteria plant, and 62,554,812 reads for a total of 8,800,290,022 bp in infected vinca plant. De novo assembly generated 1,900 contigs with 112,390 to 3,511,021 reads (from wisteria) and 902 contigs with 9,281 to 2,734,240 reads (from vinca) mapped to the contigs of interest. For each surveyed plant, three contigs revealed AMV RNA genome segments (RNA1, RNA2, and RNA3) with GC contents of 42.70%, 41.70% (IR-WS, 41.80%), and 43.30%, respectively. RT-PCR using specific primers CP-F (5′-CATTGATCGGTA-ATGGGCCGT-3′) and CP-R (5′-ATCCACCCAGTG-GAGGTCAGCA-3′) (Massumi et al., 2012), which target CP gene, confirmed AMV in two samples. The AMV sequences of IR-VM RNA1 (3,690 nucleotides [nt]), RNA2 (2,636 nt), and RNA3 (2,057 nt) were deposited in the GenBank under the accession numbers MW014929, MW014930, and MW014931, respectively. Likewise, the AMV sequences of IR-WS RNA1 (3,690 nt), RNA2 (2,594 nt), and RNA3 (2,057 nt) were deposited in the GenBank under accession numbers MW014932, MW014933, and MW014934, respectively. In addition, RNA3 of another isolate of AMV (IR-WS2) generated from wisteria and was deposited in GenBank with the accession numbers MW014935. RNA1 encoded the P1 gene, RNA2 encoded the P2 gene, and RNA3 encoded the CP and MP genes, which is typical of the AMV genome (Maina et al., 2019). Compared with other isolates, IR-VM and IR-WS contained an additional 19 nt in the 5′-untranslated region (5′-UTR). Interestingly, RNA1 of both isolates contained a short insertion of 47 nucleotides in the 3′-untranslated region (3′-UTR). In addition, the 3′-UTR of RNA2 sequence of IR-VM was divergent to length (contains 42 additional nt).
Sequence analysis
Pairwise comparisons showed that RNA1, RNA2, and RNA3 of IR-VM shared respectively 99.97%, 99.81%, and 99.95% nucleotide sequence identities with IR-WS. AMV-IR-VM and IR-WS shared nucleotide identities of 96.21-99.26%, 95.26-98.07%, and 94.26-98.09% with the 13 other AMV isolates obtained from GenBank in RNA1, RNA2, and RNA3 segments, respectively. AMV-IR-VM and IR-WS RNA1 shared the highest nucleotide identity with isolate HZ (HQ316635, China) (99.26% and 99.23%, respectively). Likewise, IR-VM and IR-WS RNA2 shared the highest nucleotide identity with isolates OH-2-2017 (MT669387, USA) (98.01%) and CaM (MK607975, Canada) (97.96% and 98.07%, respectively). RNA3 of IR-VM and IR-WS shared the highest nucleotide identity with isolate HZ (98.09% and 98.04%, respectively). At the individual cistron level, IR-VM and IR-WS shared nucleotide sequence identities of 96.42-99.41% (98.22-99.82% aa sequence identity), 95.19-98.02% (94.05-98.86% aa identity), 93.58-98.78% (95.67-99.33% aa identity), and 93.27-97.55% (90.37-95.41% aa identity) with 13 other isolates in the P1, P2, MP and CP coding regions, respectively (Table 1). AMV-IR-VM and IR-WS shared nucleotide identities of 99.89% (99.67% aa identity), 98.62% (96.33% aa identity) with IR-WS2 (another isolate which only its RNA3 segment obtained from wisteria), in the MP and CP coding regions, respectively. Positions of SNPs in the genome were in P1 (57 SNPs), P2 (101 SNPs), MP (25 SNP), and CP (14 SNPs).
Phylogenetic relationship and reassortment/recombination analysis
The phylogenetic trees were constructed using the NJ method based on each RNA segment (Supplementary Fig. 1) and P1, P2, MP, and CP nucleotide sequences (Fig. 2).
AMV isolates can be divided into two distinct clades, A and B, based on phylogenetic trees of each RNA segment. Clade A can be further subdivided into two groups. However, some isolates clustered differently (Supplementary Fig. 1). Iranian AMV isolates IR-VM and IR-WS clustered in group A and had a closer genetic relationship to the HZ isolate from China, according to the findings based on RNA1 and RNA3.
Some isolates such as HZ and FERA160224 were assigned to groups I and II respectively, based on the phylogenetic tree of the P1, CP, and MP genomic regions, but were assigned to different groups according to the P2 trees (Fig. 2). Reassortment/recombination may be a possible explanation for this phylogenetic incongruence and differential clustering of these isolates. To identify possible reassortment/recombination events, sequence alignments of RNA1, RNA2, and RNA3 segments of the Iranian isolates along with 13 AMV sequences available from GenBank were concatenated in a single alignment and analyzed using RDP4 implemented algorithms. Any events carrying the warning “this event may not have been caused by recombination” were excluded from the analysis. Six putative reassortment events and one putative recombination event were identified. No significant reassortment/recombination events were detected in the sequences of Iranian AMV isolates. The information including identification of the reassortment or recombination, position, the major and minor parents, and if other isolates occurred to the same event, the consensus obtained by each of the six different algorithms and the corresponding P-values is reported in Supplementary Table 2. In detail, the first putative event HZ resulted in a reassortment of the RNA2 segment (positions 3,696-6,408 nt) which was verified by all algorithms, with Manfredi as major and 175 as minor parental, respectively. Besides, FERA160224 showed a second putative reassortment event in segment RNA2 (pos. 3,542-6,408 nt), confirmed by 6/7 methods, with 295 as major and Lst as minor parental. AU-SA80 and 295 depicted a putative reassortment event in RNA2 (pos. 3,696-6,408 nt), with Gyn and Tec1 sequences as major and minor parental, respectively. Confirmed by 3/7 and 2/7 algorithms, the other two putative reassortment events occurred in the Lst (in the RNA1) and 175 (in the RNA2), respectively. Moreover, Ca175-1 revealed a putative recombinant event in the RNA2 segment (3,759-5,147 nt) with OH-2-2017 as putative a major parent and with CaM as a putative minor parent. This event was verified only in three out of seven algorithms. Phylogenetic analysis further illustrated the evidence of recombination for AMV isolates which is included here (data not shown).
Genetic diversity and selection pressure acting on AMV coding regions
The genetic variation and polymorphism of the AMV isolates were computed for each coding region separately using several genetic diversity parameters implemented in DnaSP6 (Table 2). The order of genetic variation (π) of individual coding regions, from highest to lowest, was as follows: P2, CP, MP, and P1 (Table 2). The dN/dS (ω) ratio for each cistron was less than 1, indicating that the AMV genome is under dominant purifying selection. The results showed that the substitutions were not uniformly distributed along the AMV genome. The strongest purifying selection was observed in the P1 protein, supported by the smallest ω value (0.05455), while the weakest purifying selection was in the CP, with the largest ω value (0.18210). Among all the coding regions analyzed here, the highest number of positively selected sites were in P2, suggesting that the P2 may play an important role in AMV evolution (Supplementary Table 3). Pairwise sequence identities were analyzed at both the nucleotide and amino acid levels (data not shown), which confirmed the genetic variation results. Among putative gene products of AMV, CP was the most variable (96.30%), and the P1 (99.08%) were the most conserved proteins. Such results were consistent with genetic polymorphism comparisons.
Phylogenetic analysis and sequence variation in CP gene
No recombination event was found between CP coding region of 107 AMV isolates and the sequences were subjected to phylogenetic analyses. As shown in Fig. 3, all the 107 AMV isolates were divided into two distinct clades: A and B. Isolates of clade A were further divided into three groups (I, II, and III). Group I of clade A is a large and geographically widespread group that included 92 isolates from different parts of the world including Iran (21), Serbia (9), China (7), Croatia (2), Italy (6), Chile (1), USA (16), South Korea (4), Brazil (1), Argentina (1), Australia (9), Canada (7), Czech Republic (1), Bosnia and Herzegovina (1), Egypt (1), England (1) and New Zealand (4). Group II contained two Spanish isolates. Group III consisted of 11 isolates from Mexico (1), France (3), Spain (1), England (3), and New Zealand (3). Clade B contained only two Egyptian isolates. AMV phylogroups did not show a clear division in terms of geographical distribution.
The overall mean value of genetic distance among all AMV isolates was 0.028 ± 0.003, indicating a high genetic diversity. Group III had the highest genetic distance (0.027 ± 0.004), followed by group I (0.022 ± 0.003), and group II (0.012 ± 0.004). The genetic distance between groups was higher than within-subgroups (Supplementary Table 4) which supports evidence for the phylogenetic grouping.
AMV-IR-VM, IR-WS, and IR-WS2 shared 92.66-99.54% nt identity with those of 104 other AMV isolates available in the GenBank, the highest with isolate V.tinus (JN040542) from Chile (with 98.17%, 98.17%, and 99.54% nt identity respectively), and the lowest with isolate Mans (LN846979) from Egypt (with 92.66%, 92.66%, and 93.73% nt identity respectively). The obtained isolates also shared 88.99-99.08% aa identity with other AMV isolates retrieved from GenBank, indicating most of the CP nucleotide substitutions were nonsynonymous with no change in the physicochemical properties of the protein. Haplotype and nucleotide diversity for all AMV isolates were 0.997 and 0.02889, respectively, indicating high haplotype diversity and relatively low nucleotide diversity in AMV populations and among lineage subpopulations (Table 3). The haplotype diversity for groups I, II, and III was 0.996, 1.000, and 1.000, whereas nucleotide diversity for these three groups was 0.02118, 0.01207, and 0.02677, respectively. The higher overall average number of nucleotide differences (k = 17.745) was calculated for phylogroup III. However, the greater number of segregation sites, (S = 158), and mutations within the segregating sites, (η = 173), were found in the phylogroup I (Table 3).
At the geographical population level, the highest and lowest values of π and k were estimated for the African (π = 0.04726, k = 31.333) and Oceania (π = 0.01165, k = 7.722) populations, respectively. However, the highest values of S (121), and η (132), were found in European isolates, while the values of S (27), and η (27) in Oceania isolates were the lowest. The global selection pressure (dN/dS) in CP of all AMV isolates was 0.17957. Furthermore, the dN values for each population were less than the dS values (dN/ dS ratio < 1), suggested purifying selection was restricting variability in the population. The highest and lowest dN/dS ratio was calculated for African (ω = 0.34957) and Oceania (ω = 0.13863) populations. Quantifying selection pressure at individual codon positions showed that most of the codons were under negative selection or neutral evolution, while the codons at positions 133, 176, and 212 were found under positive selection by at least three methods implemented in HYPHY. Notably, among these codon positions, only the amino acid position 212 (in the C-terminal region of CP) was confirmed by all the five methods (Table 4). The CP N-terminal domain has been shown to be involved in cell-to-cell and systemic movement in members of the different genera within the family Bromoviridae including AMV (Sánchez-Navarro and Bol, 2001). It has been demonstrated that N-terminal K residues at positions 5 to 13 within the K5KAGGKAGK13 sequence are essential and sufficient for transportation of AMV CP to the nucleolus (Herranz et al., 2012). Some of the changes, for example, replacement of underline amino acid from A (nonpolar) to S (polar) with different physicochemical properties were observed in the CP of Iranian isolates. In addition, the Alanine to Serine mutation can modify protein formation due to hydrophobic (Alanine) to hydrophilic (Serine) molecule changes. The specified effect of the mentioned mutations in this stretch should be further studied.
Genetic differentiation and population structure of AMV based on CP sequences
The genetic distinction of AMV populations was defined in two categories: phylogenetic populations and geographical populations. Pairwise FST values showed a strong genetic differentiation (FST > 0.52664) between phylogroups of AMV isolates. Further support for these results was found in significantly high values of Ks*, Kst*, Z*, and Snn statistics (Table 5) displayed that the isolates between phylogroups had a very high genetic differentiation and infrequent gene flow (FST > 0.33), which is consistent with the phylogenetic analysis in Fig. 3. Multiple lineages composed AMV populations from different geographic origins, among which significant high Ks*, Kst*, Z*, and Snn values and great FST value (over 0.25) were obtained between the AMV populations from Iran, East Asia, and Europe with Oceania and Africa as shown in Table 5. This suggested complete genetic differentiation and infrequent gene flow. A very high degree of differentiation was observed between America vs. Africa, and Oceania vs. Africa confirmed by high FST value ( > 0.33) and significant Ks*, Kst*, Z*, and Snn values. The level of genetic differentiation between Iran vs. Europe, East Asia, and Africa was great, as revealed by FST = 0.15674-0.17205. Genetic differentiation between East Asia vs. America, Europe, and Oceania populations and America vs. Oceania populations confirmed by moderate levels of FST (0.06119-0.09851). In most populations, there were moderate levels of gene flow despite large separating geographic distances.
Neutrality tests
The values of Tajima’s D, Fu and Li’s D* & F* statistics were negative and significant for group I and the overall population suggested that the estimated polymorphism was less than what expected. However, the three indices were negative and statistically insignificant (P > 0.10) for group III. A negative value of Tajima’s D signifies an excess of low-frequency polymorphisms caused by background selection, genetic hitchhiking, or population expansions (Tajima, 1989). No significant departure from neutrality was found for any geographical groups of AMV populations when the CP sequences were tested for Tajima’s D, Fu and Li’s D* and F* values; nevertheless, the values were negative for all populations.
Discussion
In this study, we reported the first complete genome sequences of AMV isolated from V. minor and W. sinensis, assembled by RNA-seq reads and RT-PCR. To the best of our knowledge, this is the first confirmed report of AMV infecting dwarf periwinkle and wisteria in the world. Pairwise identity analysis showed relatively significant variability in genome sequences among AMV isolates with genomic nucleotide identities of 94.78-99.97 (average, 97.42%), 92.54-99.55 (average, 95.86%), and 93.89-99.95 (average, 97.11%) in RNA1, RNA2, and RNA3, respectively. Although genetic polymorphism analysis for each coding region showed low nucleotide diversity, it also displayed high genetic diversity following the high haplotype diversity, which is a signature of a population expansion with little selection on any particular gene. Of all the coding regions analyzed, the P2 gene indicated higher nucleotide diversity (π = 0.03593). Apart from codon mutations, insertions/deletions also contributed to genetic variability in the P2 protein. Different selective constraints imposed on different AMV proteins might be associated with the diverse functions of these proteins in the infection cycle of the virus and/or their interactions with the host and aphid vectors (García-Arenal et al., 2001). The evolutionary constraints enforced on proteins P1, P2, and MP were larger than those exerted on protein CP, indicating a greater tolerance for amino acid substitutions among the CP gene. Although most codons were under negative selection or neutral evolution, a few codons were identified under positive selection in P1 and P2 cistrons by at least two separate algorithms within the HYPHY software package (Supplementary Table 3). Positive selection on some codons in AMV coding regions confirmed a molecular adaptation by fixing beneficial genotypes and enhancing population diversification. This finding also presents additional support for the wide spectrum of AMV infection. Our analyses distinguished six putative reassortment events and one putative recombination event among some AMV isolates. These events point to the importance of this phenomenon in the evolution of global AMV populations, which is in line with that of other investigations (Bergua et al., 2014; Bonnet et al., 2005). This shows that genetic exchange by recombination or reassortment transpires naturally in populations of plant viruses with segmented genomes. It is expected that the origins and evolution of AMV be investigated to highlight the organization and structure of its genetic diversity and the role of the evolutionary forces that have been shaping this diversity.
In this research, the CP gene of 107 AMV isolates was used to investigate the genetic diversity and molecular mechanisms underlying the evolution of this virus. The 107 AMV isolates fell into two main clades which have significant subpopulation differentiation with an FST value of 0.71959. Higher haplotype diversity and low nucleotide diversity indicated that the AMV population studied recently diverged from each other.
The observed significant genetic differentiation and low gene flow in some populations suggest that geographical isolation would be a barrier to gene flow. However, moderate levels of genetic differentiation and gene flow were observed between most of geographical populations, indicating the few influences of temporal and spatial variations on population differentiation in these populations. Such gene flow can potentially reduce genetic differentiation. Taken together, long-distance relocation, most likely by human transport of contaminated seeds or propagative plant material, has caused genetically related virus isolates to be detected in far-off geographical districts. This outcome is in concurrence with Bergua et al. (2014). The presence of diversifying selection at positions 133, 176, and 212 in the AMV CP coding region, reflects the adaptive evolution. The AMV multifunctional CP has significant roles in plusstrand RNA accumulation, pathogenicity, virion assembly (Houwing and Jaspars, 1993), vector specificity, regulation of replication and translation of viral RNAs, cell-to-cell movement (Sánchez-Navarro and Bol, 2001; van der Vossen et al., 1994) and systemic spread of the virus (Bol 2008; Neeleman et al., 2004; Tenllado and Bol, 2000). An SNP A→T (26.70% variant frequency) occurred in codon position 133 (at nucleotide 399) and represented the polymorphism that led to a change in the encoded amino acid from glutamine (Q, codon CAA) to histidine (H, codon CAT). It is not known if the identified amino acid change in the central region of CP would affect the virus’s life cycle. Two domains located at the N- and C-terminal ends of AMV CP are involved in its nuclear import and export, respectively. Interestingly, two nonpolar amino acids, leucine (L, codon CTC), and phenylalanine (F, codon TTC), at codon position 212 were observed to be under positive selection. Sequence alignment showed that most of the sequences encoded the amino acid leucine at codon position 212 while some others encoded phenylalanine. It has also been previously shown that mutations at the N and C termini affect the movement of viral materials through the vascular system (Tenllado and Bol, 2000). The significance of these positive selections on the codons at positions 133, 176, and 212 in the host-virus-vector interactions need to be investigated further.
Significantly negative Tajima’s D, Fu and Li’s D* & F* values for group I and overall population suggesting the principle of operation of purifying selection and population size expansion. For all geographical groups, all three neutrality tests were negative, which might be the result of population expansion/recovery from a population bottle-neck. However, since the P-value was not significant, the result was not conclusive, and all populations seem to be at drift-mutation equilibrium.
Iran has the optimal conditions for transmission such as aphids. The expansive spread of AMV in Iran can cause problems in different regions of the country via its aphis vectors. Therefore, it is important to use cultivars resistant to virus. Vinca and wisteria are perennial plants and cultivated in Iran as medical and ornamental plants. They could serve as a potential reservoir for AMV to infect other ornamentals and cultivated crops (Bergua et al., 2014). Moreover, AMV can easily be transmitted through vegetative propagation of wisteria (by cuttings and grafting) and dwarf periwinkle (by stem cuttings) and dispersed. This proposes that strict quarantine regulation is necessary to prevent the movement of novel variants or allelic combinations of AMV between the various regions in the country when trading plant materials that are hosts for this pathogen.
To sum up, the current study represents an integrated analysis of the population genetic structure of AMV based on CP gene sequences. The phylogenetic analysis did not show a clear geography-specific clustering of AMV isolates. Gene flow, recombination/reassortment, and negative selection were found to be the important evolutionary factors that can affect the genetic structure of AMV populations. Founder effects by exchanging infected plant material between different geographical regions have also been suggested to play a role in shaping the genetic structure of AMV. Our findings provide basic information for the development of an integrated disease management strategy against AMV in Iran.
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