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Article

Genotype Sequencing and Phylogenetic Analysis Revealed the Origins of Citrus Yellow Vein Clearing Virus California Isolates

United States Department of Agriculture, Agricultural Research Service, San Joaquin Valley Agricultural Sciences Center, Parlier, CA 93648, USA
*
Authors to whom correspondence should be addressed.
Viruses 2024, 16(2), 188; https://doi.org/10.3390/v16020188
Submission received: 3 January 2024 / Revised: 23 January 2024 / Accepted: 24 January 2024 / Published: 26 January 2024 / Corrected: 1 April 2024
(This article belongs to the Special Issue Emerging Fruit and Vegetable Viruses 2023)

Abstract

:
The Citrus yellow vein clearing virus (CYVCV) causes a viral disease that has been reported in some citrus-growing regions in countries in Eurasia including Pakistan, India, Türkiye, Iran, China, and South Korea. Recently, CYVCV was detected in a localized urban area in a town in the middle of California’s citrus-growing region and marks the first occurrence of the virus in North America. CYVCV has been reported to be spread by aphid and whitefly vectors and is graft and mechanically transmitted. Hence, it is an invasive pathogen that presents a significant threat to the California citrus industry, especially lemons, which are highly symptomatic to CYVCV. To elucidate the origin of the CYVCV California strain, we used long-read sequencing technology and obtained the complete genomes of three California CYVCV isolates, CA1, CA2, and CA3. The sequences of these isolates exhibited intergenomic similarities ranging from 95.4% to 97.4% to 54 publicly available CYVCV genome sequences, which indicated a relatively low level of heterogeneity. However, CYVCV CA isolates formed a distinct clade from the other isolates when aligned against other CYVCV genomes and coat protein gene sequences as shown by the neighbor network analysis. Based on the rooted Maximum Likelihood phylogenetic trees, CYVCV CA isolates shared the most recent common ancestor with isolates from India/South Asia. Bayesian evolutionary inferences resulted in a spatiotemporal reconstruction, suggesting that the CYVCV CA lineage diverged from the Indian lineage possibly around 1995. This analysis placed the origin of all CYVCV to around 1990, with South Asia and/or Middle East as the most plausible geographic source, which matches to the first discovery of CYVCV in Pakistan in 1988. Moreover, the spatiotemporal phylogenetic analysis indicated an additional virus diffusion pathway: one from South Asia to China and South Korea. Collectively, our phylogenetic inferences offer insights into the probable dynamics of global CYVCV dissemination, emphasizing the need for citrus industries and regulatory agencies to closely monitor citrus commodities crossing state and international borders.

1. Introduction

The Citrus yellow vein clearing virus (CYVCV) presents a pressing quarantine concern regarding the transport of citrus commodities and international trade, as well as the unwitting and illegal movement of infected citrus budwood or propagations. The manifestations of CYVCV disease exhibit significant variations contingent upon citrus varieties and prevailing environmental conditions [1]. Lemon (Citrus limon) and sour orange (C. aurantium) trees are highly symptomatic, while a broad range of other citrus cultivars, though susceptible, remain generally asymptomatic [2,3]. CYVCV-symptomatic citrus trees display stunted growth, diminished citrus yields, yellow vein clearing, the water-soaked appearance of veins on the adaxial side, leaf deformities, intermittent ringspots, and venial necrosis [1,2,3]. No effective management strategies have been found to counteract the deleterious impact of CYVCV, since the citrus host range is wide and insect vectors are common in citrus orchards. In addition to infecting most citrus species, cultivars, and hybrids, CYVCV has been reported to be transmitted to some non-citrus hosts, including wild grapevine (Vitis vinifera), common bean (Phaseolus vulgaris), cowpea (Vigna unguiculata), common mallow (Malva sylvestris), quinoa (Chenopodium quinoa), and some other herbaceous species [4,5,6].
CYVCV is a member of the Alphaflexiviridae virus family, the Mandarivirus genus, and constitutes a positive-sense flexuous RNA virus [7,8]. It is noteworthy that CYVCV shares a high genome similarity, of approximately 74% sequence identity, with Indian citrus ringspot virus (ICRSV), another member of the Mandarivirus genus [9]. To date, only a handful of CYVCV isolates have been subjected to complete sequencing [3,10,11]. The viral genome encompasses approximately 7530 base pairs and encodes six predicted open reading frames (ORFs). ORF1 encodes a solitary polyprotein with four constituent subunits, namely methyltransferase, oxygenase, RNA helicase, and RNA-dependent RNA polymerase. ORF2 to ORF6 encode triple gene block gene 1 (TGB1), TGB2, TGB3, coat protein (CP), and a nucleic acid-binding protein [1,8]. Our understanding of the functional properties of CYVCV-encoded proteins remains limited. CP has been identified as an RNA silencing suppressor [12] and has been linked to the severity of symptoms in citrus. Subsequent research has elucidated the CP’s interaction with the 40S ribosomal subunit protein S9-2, whose transient accumulation in the host impedes the CP’s silencing suppressor activity [13].
CYVCV can be transmitted through grafting and mechanical means and is naturally vectored by at least three aphids (Aphis spiraecola, A. craccivora, and A. gossypii) and the citrus whitefly, Dialeurodes citri [6,14]. The initial report of yellow vein clearing disease was in lemon and sour orange in Pakistan in 1988 [15]. Since then, it has been reported in various locales, including Türkiye, India, Iran, China, and South Korea [2,16,17,18]. The rapid proliferation of CYVCV in China since 2009 has resulted in substantial losses in lemon production where the disease incidence was high [19]. In 2022, during a routine multi-pest survey conducted by the California Department of Food and Agriculture (CDFA), CYVCV-infected citrus trees were identified in localized urban properties in the city of Tulare, California, United States of America (USA), although surveys of nearby citrus orchards indicate no spread yet to commercial citrus [10]. The United States Department of Agriculture, Animal, and Plant Health Inspection Service also tested samples from infected trees and verified the diagnosis of CYVCV. The CDFA currently designates CYVCV as a pest of high concern (Pest rating A).
The evolutionary dynamics of CYVCV remain enigmatic. This knowledge gap is, in part, attributable to the limited availability of CYVCV sequence data. Additionally, the virus’s evolutionary and ecological dynamics may have developed on different time scales, a phenomenon observed in other plant viruses [20]. In a 2019 report, a phylogenetic tree constructed using the maximum likelihood method delineated CYVCV isolates into two clusters. CYVCV isolates from India, Türkiye, and Pakistan coalesced in one group, while those from China formed another [9]. Recent developments, including CYVCV’s expansion into citrus-growing regions in California and South Korea, have drawn attention to the virus’s origin, global transmission, and spread [10]. As more CYVCV genotypes are identified, comparative genomics would contribute to a deeper understanding of CYVCV’s etiology, relationships, and evolution. In this study, employing state-of-the-art long-read sequencing technology, we successfully obtained the complete genome sequences of three novel CYVCV California isolates. Through genotypic clustering and Bayesian evolutionary analysis, we elucidate the spatiotemporal and phylodynamics of CYVCV on a global scale. Though the CYVCV isolate dataset of our analysis remains relatively shallow, this inference would provide critical information for citrus stakeholders to monitor the dispersal of the virus crossing state and international borders.

2. Materials and Methods

2.1. Sample Collection, RNA Extraction, and Real-Time Quantitative Polymerase Chain Reaction (RT-qPCR)

Citrus budwood from known CYVCV-positive citrus trees from the city of Tulare, California were collected and graft-propagated to a variety of citrus cultivars in a containment greenhouse. CYVCV source cultivars included Eureka lemon, mandarin, red grapefruit, kumquat, and makrut lime (Citrus hystrix). The grafted plants were maintained in an air-conditioned greenhouse at the San Joaquin Valley Agricultural Sciences Center in Parlier, California. The original host of CYVCV CA1 and CA2 was Eureka lemon, while CA3 was from makrut lime. Total RNA from CYVCV the isolates were as extracted by Trizol Reagent (ThermoFisher Scientific, Waltham, MA, USA) from leaves exhibiting symptoms of CYVCV.
A duplex RT-qPCR for the simultaneous detection of CYVCV and the citrus Nad5 gene as an internal quality control was employed. Specifically, the RT-qPCR reaction took place in a 10 µL reaction volume composed of 2 µL of RNA template, 5 µL of 2× reaction buffer, 0.4 µL each of CYVCV forward primer (5′-AAA TCC ATT AAC ACA GTG ACC TTC C-3′) and reverse primer (5′-AAC TCC TGA CAG TGC TCC AA-3′), 0.1 µM of a CYVCV-specific 6-FAM/BHQ-1 labeled TaqMan probe (5′d FAM-CGTCGTTGCCAAGACACGCCA-BHQ-1), 0.4 µL each of Nad5 forward primer (5′-GATGCTTCTTGGGGCTTCTTKTT-3′) and reverse primer (5′-ACATAAATCGAGGGCTATGCGGATC-3′), and 0.1 µM of a Nad5-specific VIC/QSY labeled TaqMan probe (5′d VIC-CAT AAG TAG CTT GGT CCA TCT TTA TTCCAT-QSY), along with 0.2 µL of iScript advanced reverse transcriptase and 0.9 µL of double-distilled water. This mixture was placed into a PCR plate, with cycling conditions encompassing reverse transcription at 50 °C for 5 min, initial denaturation at 94 °C for 2 min, followed by 40 cycles of denaturation at 94 °C for 10 s, and annealing/extension at 60 °C for 40 s [21]. RNA samples at a concentration of 10 ng/µL were tested in triplicate.

2.2. CYVCV Genome Sequencing

A conserved region at the 5′ end, identified through alignment with other reported CYVCV isolates, served as the basis for designing a virus-specific 5′ race primer (5′-GGTTAGTGGTATTGCCCTGTT-3′). As for the 3′ race-specific primer, an oligo(dT) primer was employed. The amplicons generated from the 5′ and 3′ race PCRs were subjected to purification and subsequent cloning into the pGEM-T easy vector (Promega Corp., Madison, WI, USA). At least three constructed vectors were sequenced (Plasmidsaurus, Eugene, OR, USA) to obtain the sequences of the CYVCV 5′ and 3′ termini.
Using these 5′ and 3′ termini sequences, the complete genome sequences were amplified for CYVCV CA isolates using the Q5 high-fidelity enzyme (New England Biolabs Inc., Ipswich, MA, USA) and virus-specific PCR primers (5′ primer-GAAAAGCAAACATAACCAACACACACCC; 3′ primer-CAGAAAATGGAAACTGAAAGCCTGAATATTT). This yielded a 7.5 Kb PCR amplicon which was sequenced with the latest long-read sequencing technology from Oxford Nanopore Technologies (ONT, Plasmidsaurus, Eugene, OR, USA). The fully assembled genome sequences were annotated and deposited in GenBank under the accession numbers OR037276.1 (CYVCV CA1), OR670060 (CYVCV CA2), and OR6700601 (CYVCV CA3).

2.3. Nucleotide Diversity Analysis

To analyze the nucleotide diversity, the complete genomes of 57 CYVCV isolates were downloaded from the NCBI Virus Database and aligned using the NCBI Multiple Sequence Alignment Viewer. The Virus Intergenomic Distance Calculator (VIRIDIC) was employed to generate a heatmap utilizing default settings that incorporated intergenomic similarity values and alignment indicators [22].

2.4. Recombination Analysis

The recombination analysis of 57 different CYVCV isolates and 79 coat protein gene sequences (either full/978 bps or partial gene sequences of Iran isolates ranging from 498 bps to 614 bps) was conducted using the Recombination Detection Program v4.56 (RDP4) software [23]. The software utilized various algorithms, including RDP, GENECONV, CHIMAERA, MAXCHI, BOOTSCAN, SISCAN, and 3SEQ, each of which identified putative recombination events, major and minor parents, and breakpoints. Recombination events detected by at least four different methods were considered.

2.5. Construction of Non-Rooted Phylogenetic Neighbor Network Tree and Rooted Maximum Likelihood Tree

The complete genomes of 53 nonrecombinant CYVCV isolates and 79 coat protein gene sequences (either full/978 bps or partial gene sequences of Iran isolates ranging from 498 bps to 614 bps) were acquired from GenBank, NCBI, and aligned using MEGA 11 with the MUSCLE algorithm. The construction of a neighbor network was executed and subsequently modified utilizing SplitsTree 4, with 1000 bootstrap replicates [24]. A maximum likelihood (ML) tree was estimated using two different models, a non-clock (unconstrained) generalized time-reversible (GTR) and gamma substitution model and Hasegawa–Kishino–Yano (HKY) and gamma substitution model using IQ-Tree [25]. The trees generated with two different models share the same topology. The maximum likelihood midpoint root tree was visualized and adjusted using FigTree v1.4.4.

2.6. Bayesian Evolutionary Inference

To assess the degree of divergence signal accumulated over the sampling time interval, the CYVCV CP sequence data were used, and an exploratory linear regression approach was conducted. Initially, a maximum likelihood (ML) tree was estimated under a non-clock (unconstrained) HKY and gamma substitution model using IQ-Tree [26]. Root-to-tip divergences were plotted as a function of sampling time, employing a root maximized to yield the Pearson product moment correlation coefficient through TempEst (formerly known as Path-O-Gen) [27].
Subsequently, a time-calibrated phylogenetic tree was reconstructed using a Bayesian statistical framework from the software package BEAST v1.10.4 [28]. Different recombinations of nucleotide substitution models, such as those of HKY and Gamma and GTR and Gamma; clock models, such as strict clock and relaxed clock; and tree priors, including Expansion growth, Exponential growth, Constant size, and Logistic growth, were tested. Upon comparison, the substitution model employed was HKY and Gamma, the clock type was set as strict clock, and a Logistic growth tree providing the best fit. The length of the Markov chain Monte Carlo (MCMC) chain was set as 20,000,000. BEAST employed MCMC integration to average over tree space, weighting each tree proportionally to its posterior probability. MCMC chains were visually checked by Tracer v1.6 and posterior parameters from tree samples were summarized via Treeannotator. A consensus tree was visualized and modified with FigTree v.1.4.3.

2.7. Biogeographic Analyses

Ancestral geographic ranges at each node were reconstructed using Statistical–Dispersal Vicariance Analysis (S-DIVA) and Bayesian Binary MCMC (BBM) analysis through the program Reconstruct Ancestral States in Phylogenies (RASP) [29]. Four distribution ranges were defined, based on geographic proximity, as South Asia (India and Pakistan), East Asia (China and South Korea), Middle East (Türkiye), and North America (USA).

3. Results

3.1. Field Survey and CYVCV qPCR Detection

A diverse collection of CYVCV was acquired from known infected trees (C. limon, C. hystrix, C. reticulata, C. paradisi, Fortunella sp.) from different properties in Tulare, CA, USA and propagated in the greenhouse (Figure 1A). Graft propagations of sour orange (C. aurantium L.) and Eureka Lemon (C. limon) exhibited clear CYVCV symptoms of vein clearing, water soaking, and leaf distortion (Figure 1B), whereas virus propagations in mandarin (C. reticulata), C. macrophylla, Duncan grapefruit (C. paradisi), Madam Vinous sweet orange (C. sinensis (L.) Osbeck), and S1 citron (C. medica L.) remained asymptomatic (not shown). Systemic CYVCV infection was confirmed by RT-qPCR using United States Department of Agriculture, Animal, and Plant Health Inspection Service Plant Protection and Quarantine (USDA-APHIS-PPQ)-approved CYVCV primers. An intriguing observation emerged when analyzing Eureka lemon plants: virus titers were notably higher in flowers compared to stems and leaves, despite the absence of obvious growth defects or disease symptoms in flowers (Figure 1C).

3.2. The Whole Genome Sequences of CYVCV CA Isolates and Nucleotide Diversity Analysis

Three CYVCV isolates were selected that represented different CYVCV sources propagated from six different infected field trees collected over a 5.2 sq km area of Tulare. The complete genomes of these three isolates were sequenced and designated as CYVCV CA1 (Accession number OR037276.1), CYVCV CA2 (Accession number OR670060), and CYVCV CA3 (Accession number OR670061). This addition of three new CYVCV California isolates brings the total number of reported CYVCV whole genome sequences to 57 (Table 1). These genomes of the three California isolates consisted of 7530 nucleotides (nt), excluding the 3′ poly A tail, and harbored six open reading frames (ORFs). It is noteworthy that the genome size of CYVCV isolates ranged from 7528 nt to 7531 nt due to insertion/deletion mutations at positions 20, 29, 30, and 6127 nt (Figure S1). Multiple sequence alignments displayed base-pair differences with variations, which indicated that CYVCV CA isolates exhibited a relatively high divergence compared to the reference sequence CYVCV CQ isolate (Accession number NC_026592.1) from China (Figure 2A). Sequence identity analysis unveiled that the reported global CYVCV isolates share a high sequence similarity, ranging from 95.1% to 100%, indicating a relatively low level of heterogeneity (Figure 2B). Within this spectrum, the sequences of these CYVCV CA isolates exhibited intergenomic similarities ranging from 95.4% to 97.4% to 54 publicly available CYVCV genome sequences. In contrast, the CYVCV CA in-group isolates exhibited a relatively high sequence identity, reaching 99.6%. Notably, two pairs of CYVCV isolates share a hundred percent identity, as the CYVCV AY112 (Accession number MW429487.1) is identical to CYVCV AY204 (Accession number MG878869.1), and CYVCV CQ isolate NC_026592.1 is the same as another CYVCV CQ isolate KP313240.1.

3.3. CYVCV Genotype Groups

Phylogenetic analysis using a neighbor-net reconstruction of CYVCV complete genomes unveiled two major genotype groups (Figure 3A). All CYVCV isolates from China and South Korea formed a major group termed the “East Asia group”, which further comprised eight subgroups, including the South Korea subgroup (SK1) and China subgroups 1–7 (C1–C7), named in chronological order of sample collection (Table 1). Other CYVCV isolates were grouped into one major genotype, the “South Asia, Middle East, and North America group”, encompassing isolates from India, Pakistan, Türkiye, and California/USA (Table 1). However, unlike the East Asia group, limited data availability hindered sub-clustering within this second major group. Nucleotide diversity analysis suggested closer genetic relationships between CYVCV isolates from India, Pakistan, Türkiye, and California.

3.4. Dissecting the Origin of CYVCV CA Isolates Based on Whole Genome Data

To ascertain the origin of CYVCV CA isolates, we initially assessed whether these isolates were the result of recombination. Among the 57 submitted CYVCV genome sequence data, four recombination events were found as previously detected in a small-scale study of Mandarivirus [9]. The CYVCV GX-STJ isolate (Accession number KX156742.1), CYVCV CQ-PO isolate (Accession number KX156735.1), CYVCV AY221 isolate (Accession number MW429491.1), and CYVCV PALI isolate (Accession number KT696512.1) were identified as recombinants. The analysis revealed no recombination events among CYVCV CA isolates (Table S1). Subsequently, a maximum likelihood phylogenetic analysis was performed using 53 CYVCV genome sequences, excluding the 4 identified as recombinants among the 57 submitted. This analysis also grouped CYVCV isolates into two major groups (Figure 3B). CYVCV isolates from China and South Korea clustered together, while isolates from other regions formed a separate group. Notably, CYVCV CA isolates shared the most recent common ancestor with an India CYVCV RMGI isolate (Accession number KT696511.1). This analysis suggested that CYVCV likely originated from India, with the India CYVCV ECAI isolate (Accession number KT696510.1) connecting directly to the root of the tree. Isolates from India, Pakistan, Türkiye, and the United States appeared to be more closely related to the ancestor of CYVCV compared to isolates from East Asia. It is worth mentioning that no whole genome sequences were obtained from Iran, despite reports of CYVCV presence in 2007.

3.5. CYVCV Grouping and Phylogeny upon CP Sequences

Though no whole genome sequences of CYVCV Iran have been reported, 12 CYVCV Iran isolate partial CP sequences, ranging from 498 bps to 614 bps, are available in the public database. To test the possible origin of CYVCV CA isolates from Iran, the 12 CYVCV Iran isolate CP partial sequences, along with 67 full length CP sequences, making a total of 79 CP sequences, were retrieved from GenBank, NCBI (Table 2) and were employed to generate a phylogeny tree. Upon alignment, sequences of MN547330.1 and MN547329.1 (Iran), AWJ64286.1 and WBG00067.1 (China), WBG00091.1 and WBG00085.1 (China), ASK39538.1 and ASK39436.1 (China), ASK39490.1 and ASK39454.1 (China), ASK39526.1 and ASK39520.1 (China), AJO26403.1 and YP009124992.1 (China), ASK39496.1 and ASK39454.1 (China) are identical, but were kept for subsequent analysis. Neighbor-net analysis, based on CP sequences, classified CYVCV isolates into four major groups: East Asia (China and South Korea), Middle East (Iran and Türkiye), South Asia (India and Pakistan), and North America (United States). These groups were named according to their geographical distribution (Figure 4A). Notably, CYVCV CA isolates formed a distinct clade, but relatively close to the CYVCV South Asia and Middle East groups. Similar to the phylogeny generated using the whole CYVCV genome data, CYVCV CA isolates were separate from the CYVCV East Asia group. Since no evidence of recombination was found in the CP datasets (not shown), a maximum likelihood rooted tree was further constructed and revealed that CYVCV CA isolates/North America groups shared the most recent common ancestor with several India isolates (Accession numbers: KT696516.1, KT696518.1, KT696520.1, AOO32386.1) (Figure 4B). Thus, consistent with results obtained from whole genome sequences, phylogenetic analysis based on CP sequences suggested that CYVCV CA isolates may have originated from India.

3.6. Inferring the Spatiotemporal Origin of CYVCV

Next, we employed another phylogenetic inference method, the Bayesian phylodynamic framework, to estimate the CYVCV origin. Compared to the maximum livelihood phylogenetic analysis, Bayesian phylodynamic inference could provide information regarding the virus spatiotemporal dispersal. The 53 non-recombinant CYVCV whole genome sequences, collected at various time points over 31 years, were employed. Root-to-tip analysis using TempEst indicated a moderate temporal structure in the dataset, with the maximum correlation coefficient being equal to 0.621 (Figure S2A). To maximize the correlation coefficient, the ancestor traces tool was applied to identify and eliminate the problematic sequences. Only sequences that drew a green line from the virus to the point on the regression line, indicating where the immediate ancestor should lie, were kept. With optimization, 38 CYVCV sequences were chosen for further analysis and the correlation coefficient between the divergence from the root and time of sampling was improved to 0.8002, displaying a strong positive relationship (Figure S2B).
A maximum clade credibility (BBM) tree from the Bayesian molecular clock analysis of the 38 selected CYVCV whole genome dataset estimated the origin of CYVCV from its progenitor to approximately 1990 (Figure 5). This estimated origin period is close to the first report of CYVCV in 1988 and the first disclosure of CYVCV genome data (CYVCV IS) in 1992. The origin of all five CYVCV strains from the South Asian and Middle East region can be traced back before 2000, which implies that the CYVCV population may have circulated in this hypothetical restricted region for many years before its global spread to East Asia and the USA. The most recent common ancestor of the CYVCV CA lineage appeared around 2018, four years prior to its documented discovery in California. Additionally, the CYVCV CA lineage shared a common ancestor with an Indian lineage, suggesting an origin around 1995 (Figure 5). Thus, in line with geographical distribution and historical records, it is plausible that CYVCV CA isolates originated in South Asia, potentially India.
Next, a phylogenetic tree showing the ancestral distribution ranges based on the BBM model was reconstructed by the program Reconstruct Ancestral States in Phylogenies (RASP) (Figure 6A) and, subsequently, a virus global diffusion map was suggested (Figure 6B). In line with the previous data, the most likely distribution region of the most recent common ancestor of CYVCV CA isolates is in India/South Asia. Moreover, the spatiotemporal phylogenetic analysis suggested an additional virus diffusion pathway: from South Asia to East Asia. This suggests that the CYVCV China lineage shares the most common ancestor with a virus isolate identified from Pakistan/South Asia. CYVCV GJ isolates from South Korea were inferred to have originated from CYVCV isolates in Yunnan, China.

4. Discussion

CYVCV, as an emerging viral disease in citrus, has become a major concern for some citrus-producing regions worldwide. Reported lemon yield losses of up to 50–80% in China underscore its economic impact [30]. Over the past few decades, CYVCV isolates have been reported in seven countries: India, Pakistan, China, South Korea, Iran, Türkiye, and, most recently, California, USA [2,16,17,18]. Although the first observations of CYVCV-infected trees date back to 1988 in Pakistan, the first complete genome sequencing of CYVCV was not reported until four years later [15]. In the case of Iran, CYVCV was reported in 2017, but, to date, no whole genome sequences of CYVCV isolates from Iran have been made publicly available [18]. The incursion of CYVCV into California, USA was documented in 2022; however, the genome sequence and molecular characteristics of CYVCV CA isolates have not been documented until this report. Our study leveraged cutting-edge long-read sequencing technology to obtain and annotate three CYVCV CA isolates from Tulare County, CA, to expand the CYVCV dataset and deepen our understanding of virus divergence, which may become useful for disease management purposes.
The complete genome sequences of CYVCV CA isolates exhibit the typical genome organization of the Mandarivirus genus, ranging from 7529 to 7531 nt, excluding the 3′-poly (A) tail [1]. The three CYVCV isolates obtained in this study encompassed 7530 nt each. Global CYVCV isolates, when subjected to genome-wide comparison, displayed a high sequence similarity, ranging from 95.1% to 100%, indicating a limited degree of heterogeneity. Typically, the RdRP region of RNA viruses harbors functional domains of replicase proteins and is prone to nucleotide variability. The absence of proofreading activity in RNA polymerases of RNA viruses presents the potential for rapid evolution, genetic variability, and adaptation to new environmental conditions due to high mutation rates, resulting in the generation of variable populations [9,31]. The mechanism behind this observation requires further exploration, as it may shed light on the replication mechanism of CYVCV.
Studying the genetic and molecular diversity of viral pathogens contributes to a deeper understanding of virus ecology, evolution, and biology. In this context, our study aimed to investigate recombination and population dynamics using various statistical algorithms. The data obtained in this study revealed low levels of genetic diversity, but still supported new knowledge of the evolutionary relationships within the virus populations. Neighbor network analysis, considering full genome sequences of CYVCV isolates from different countries, indicated that CYVCV isolates from India, Pakistan, and Türkiye were more closely related than those from China and South Korea (Figure 3B). Beside the whole genome sequence, the CP region of RNA viruses is vital for species demarcation, assessing genetic diversity, and developing immunodiagnostics [32,33]. A previous CP analysis revealed that viruses in the Mandarivirus genus shared a common structural core and evolutionary origin [34]. By analyzing the CYVCV CP dataset, including a few partial CP sequences from Iran, since whole genome sequence has not yet been reported, we found that CYVCV isolates could be categorized into groups based on their geographic distribution, including South Asia, East Asia, Middle East, and North America. Maximum likelihood analysis of CP sequences indicated a similar outcome when compared to the whole genome analysis: CYVCV CA isolates diverged from isolates in India, a part of the South Asia region that has reported a substantial number of different CYVCV isolate sequences (Figure 4A,B). As the CYVCV genome pool expands, the boundaries of CYVCV genotypes will likely become more clearly defined.
In addition to elucidating the spatiotemporal scale of plant virus evolution, molecular sequence analyses can explore spatial population structures and provide insights into the dissemination dynamics responsible for the current geographic distribution of plant viral lineages. Therefore, it is not surprising that plant virus epidemiology has started to incorporate statistical inference methods that combine temporal and spatial dynamics in a phylogenetic context [28,33]. For example, Bayesian phylogeographic methods have been applied to reconstruct the spatiotemporal history of Tomato yellow leaf curl virus spread and diversification. This analysis suggested that the virus likely originated in the Middle East during the first half of the 20th century [35]. Another example is Cassava mosaic-like virus, responsible for severe crop losses in sub-Saharan Africa, which was estimated to have originated in mainland Africa in the late 1930s, with subsequent introductions to the southwest Indian ocean islands between 1988 and 2009 [36]. Similarly, there is Maize streak virus (MSV), which has caused severe epidemics in maize-growing regions of Africa. Bayesian spatiotemporal reconstructions indicated southern Africa as the most probable origin of MSV at the beginning of the 20th century [37].
In this study, Bayesian evolutionary analysis based on CYVCV whole genome sequences suggested that CYVCV CA isolates may have diverged from South Asia, specifically India, around 1995. However, it is essential to recognize that spatiotemporal phylogenetic analysis has its limitations. First, the CYVCV isolate dataset remains relatively shallow, particularly in regions such as South India, Middle East, and North America. Additionally, the detection of plant viruses in perennial hosts is often delayed, as it takes time for symptoms to manifest. Moreover, symptom variations in different citrus varieties can further complicate disease diagnosis. For instance, while CYVCV is generally associated with vein clearing symptoms in sensitive cultivars, it can also produce ringspot symptoms on Kinnow mandarin and sweet orange, similar to those caused by ICRSV. Delayed detection in some commercial citrus varieties in India with ringspot symptoms was due to a lack of information about CYVCV’s ability to cause such symptoms [2,17,19]. Therefore, caution must be exercised when interpreting phylogenetic relationships with limited biological data or a lack of regional perspectives during a plant virus outbreak. Incorporating additional characteristics to support phylogenetic interpretation will likely yield more reliable inferences [38]. For instance, it has been suggested that the host ecology determines the dispersal patterns of rice yellow mottle virus [20].

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/1999-4915/16/2/188/s1, Table S1. The recombination analysis of Citrus yellow vein clearing virus isolates upon genome sequences. Four events were detected in at least four different methods implemented in RDP4. Different algorithms abbreviation: R: RDP; G: GENECONV; B: BOOTSCAN; M: MAXCHI; C: CHIMAERA; S: SISCAN; T: 3SEQ; Figure S1. A snapshot of the insertion/deletion mutant sites via multiple sequence alignment of 57 Citrus yellow vein clearing virus genome sequences. The CYVCV CA isolates were marked with red arrows; Figure S2. Root-to-tip divergence plot, as a function of sampling time for maximum clade credibility tree clusters. (A) Root-to-tip divergence plot of 53 nonrecombinant Citrus yellow vein clearing virus (CYVCV) genome sequences. Correlation coefficient equals to 0.621. (B) 38 selected CYVCV genome sequences used for Bayesian phylodynamic inference in this study. The optimized correlation coefficient equals to 0.8002.

Author Contributions

Conceptualization, Y.-D.S. and R.Y.; Methodology, Y.-D.S. and R.Y.; Software, Y.-D.S.; Validation, Y.-D.S. and R.Y.; Formal Analysis, Y.-D.S.; Investigation, Y.-D.S. and R.Y.; Resources, R.Y.; Data Curation, Y.-D.S.; Writing—Original Draft Preparation, Y.-D.S.; Writing—Review & Editing, Y.-D.S. and R.Y.; Visualization, Y.-D.S.; Supervision, R.Y.; Project Administration, R.Y.; Funding Acquisition, R.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded in part by USDA-APHIS-PPQ, Science and Technology, Raleigh, North Carolina, USA, Inter-Agency Agreement (60-2034-3-0002) to R.Y. Base support for this research is from the USDA, ARS, CDPG Project Number 2034-22000-015-000D.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are contained within the article and supplementary materials. The nucleotide sequences of the complete genome sequence of CYVCV CA1, CA2, and CA3 obtained in this study were submitted to the GenBank database under accession numbers OR37276.1, OR670060.1, and OR670061.1.

Acknowledgments

The authors gratefully acknowledge the assistance of Sydney Helm Rodriguez, Biological Science Technician, USDA, ARS, SJVASC, Crop Disease, Pests and Genetics Research Unit, Parlier, California, USA for maintenance of the laboratory, greenhouse plants, and virus cultures. The authors also acknowledge the support from the USDA-APHIS-PPQ, Science and Technology, Raleigh, North Carolina, USA and CDFA, Sacramento, California, USA. Mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the U.S. Department of Agriculture. USDA is an equal opportunity provider and employer.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Liu, C.; Liu, H.; Hurst, J.; Timko, M.P.; Zhou, C. Recent Advances on Citrus yellow vein clearing virus in Citrus. Hortic. Plant J. 2020, 6, 216–222. [Google Scholar] [CrossRef]
  2. Chen, H.M.; Li, Z.A.; Wang, X.F.; Zhou, Y.; Tang, K.Z.; Zhou, C.Y.; Zhao, X.Y.; Yue, J.Q. First Report of Citrus yellow vein clearing virus on Lemon in Yunnan, China. Plant Dis. 2014, 98, 1747. [Google Scholar] [CrossRef]
  3. Bin, Y.; Xu, J.; Duan, Y.; Ma, Z.; Zhang, Q.; Wang, C.; Su, Y.; Jiang, Q.; Song, Z.; Zhou, C. The Titer of Citrus Yellow Vein Clearing Virus Is Positively Associated with the Severity of Symptoms in Infected Citrus Seedlings. Plant Dis. 2022, 106, 828–834. [Google Scholar] [CrossRef]
  4. Afloukou, F.M.; Önelge, N. First report of natural infection of grapevine (Vitis vinifera) by Citrus yellow vein clearing virus. New Dis. Rep. 2020, 42, 5. [Google Scholar] [CrossRef]
  5. Önelge, N.; Bozan, O.; Gök-Güler, P. First report of Citrus yellow vein clearing virus infecting new natural host plants in Turkey. J. Plant Pathol. 2016, 98, 373. [Google Scholar]
  6. Önelge, N.; Satar, S.; Elibuyuk, O.; Bozan, O.; Kamberoolu, M. Transmission studies on Citrus yellow vein clearing virus. In Proceedings of the 18th Conference, International Organization of Citrus Virologists, São Paulo, Brazil, 7–12 November 2010; University of California: Riverside, CA, USA, 2011. Available online: https://iocv.ucr.edu/sites/g/files/rcwecm4696/files/2020-06/Onelge_et_al.pdf (accessed on 18 January 2024).
  7. Grimaldi, V.; Catara, A.F. Association of a filamentous virus with yellow vein clearing of lemon. In Proceedings of the 13th Conference, International Organization of Citrus Virologists, Fuzhou, China, 16–23 November 1995; University of California, Riverside: Riverside, CA, USA, 1996; pp. 343–345. [Google Scholar]
  8. Loconsole, G.; Onelge, N.; Potere, O.; Giampetruzzi, A.; Bozan, O.; Satar, S.; De Stradis, A.; Savino, V.; Yokomi, R.K.; Saponari, M. Identification and characterization of citrus yellow vein clearing virus, a putative new member of the genus Mandarivirus. Phytopathology 2012, 102, 1168–1175. [Google Scholar] [CrossRef] [PubMed]
  9. Meena, R.P.; Prabha, K.; Baranwal, V.K. Genome characterization of citrus yellow vein-clearing virus: Limited heterogeneity of viral genomes in Mandarivirus-infecting different citrus species. 3 Biotech 2019, 9, 348. [Google Scholar] [CrossRef]
  10. Sun, Y.; Yokomi, R.K. Whole genome sequence of Citrus yellow vein clearing virus CA1 isolate. BMC Res. Notes 2023, 16, 166. [Google Scholar] [CrossRef] [PubMed]
  11. Yu, Y.-q.; Wu, Q.; Su, H.-n.; Wang, X.-f.; Cao, M.-j.; Zhou, C.-y. Small RNA deep sequencing reveals full-length genome of Citrus yellow vein clearing virus in Chongqing, China. J. Integr. Agric. 2017, 16, 503–508. [Google Scholar] [CrossRef]
  12. Ur Rehman, A.; Li, Z.; Yang, Z.; Waqas, M.; Wang, G.; Xu, W.; Li, F.; Hong, N. The Coat Protein of Citrus Yellow Vein Clearing Virus Interacts with Viral Movement Proteins and Serves as an RNA Silencing Suppressor. Viruses 2019, 11, 329. [Google Scholar] [CrossRef] [PubMed]
  13. Zeng, T.; Liao, P.; Zheng, C.; Gao, H.; Ye, X.; Zhou, C.; Zhou, Y. The interaction between the lemon ribosomal protein ClRPS9-2 and citrus yellow vein clearing virus coat protein affects viral infection and gene silencing suppressor activity. Mol. Plant Pathol. 2023, 24, 1047–1062. [Google Scholar] [CrossRef]
  14. Zhang, Y.; Wang, Y.; Wang, Q.; Cao, M.; Zhou, C.; Zhou, Y. Identification of Aphis spiraecola as a vector of Citrus yellow vein clearing virus. Eur. J. Plant Pathol. 2018, 152, 841–844. [Google Scholar] [CrossRef]
  15. Catara, A.A.; Azzaro, A.; Davino, M.; Polizzi, G. Yellow Vein Clearing of Lemon in Pakistan. In Proceedings of the 12th Conference, International Organization of Citrus Virologists, New Delhi, India, 23–27 November 1992; University of California: Riverside, CA, USA, 1993; pp. 364–367. [Google Scholar]
  16. Önelge, N. First report of yellow vein clearing of lemons in Turkey. J. Turk. Phytopathol. 2002, 32, 53–55. [Google Scholar]
  17. Alshami, A.; Ahlawat, Y.; Pant, R. A hitherto unreported yellow vein clearing disease of citrus in India and its viral etiology. Indian Phytopathol. 2003, 56, 422–427. [Google Scholar]
  18. Hashmian, S.B.; Aghajanzadeh, S. Occurrence of citrus yellow vein clearing virus in citrus species in Iran. J. Plant Pathol. 2017, 99, 290. [Google Scholar]
  19. Zhou, Y.; Chen, H.M.; Cao, M.J.; Wang, X.F.; Jin, X.; Liu, K.H.; Zhou, C.Y. Occurrence, Distribution, and Molecular Characterization of Citrus yellow vein clearing virus in China. Plant Dis. 2017, 101, 137–143. [Google Scholar] [CrossRef] [PubMed]
  20. Trovão, N.S.; Baele, G.; Vrancken, B.; Bielejec, F.; Suchard, M.A.; Fargette, D.; Lemey, P. Host ecology determines the dispersal patterns of a plant virus. Virus Evol. 2015, 1, vev016. [Google Scholar] [CrossRef]
  21. Abrahamian, P.; Tian, T.; Posis, K.; Guo, Y.; Yu, D.; Blomquist, C.L.; Wei, G.; Adducci, B.; Vidalakis, G.; Bodaghi, S.; et al. Genetic analysis of the emerging citrus yellow vein clearing virus reveals a divergent virus population in American isolates. Plant Dis. 2023. [Google Scholar] [CrossRef]
  22. Moraru, C.; Varsani, A. VIRIDIC-A Novel Tool to Calculate the Intergenomic Similarities of Prokaryote-Infecting Viruses. Viruses 2020, 12, 1268. [Google Scholar] [CrossRef] [PubMed]
  23. Martin, D.P.; Murrell, B.; Golden, M.; Khoosal, A.; Muhire, B. RDP4: Detection and analysis of recombination patterns in virus genomes. Virus Evol. 2015, 1, vev003. [Google Scholar] [CrossRef] [PubMed]
  24. Huson, D.H.; Bryant, D. Application of phylogenetic networks in evolutionary studies. Mol. Biol. Evol. 2006, 23, 254–267. [Google Scholar] [CrossRef]
  25. Trifinopoulos, J.; Nguyen, L.T.; von Haeseler, A.; Minh, B.Q. W-IQ-TREE: A fast online phylogenetic tool for maximum likelihood analysis. Nucleic Acids Res. 2016, 44, W232–W235. [Google Scholar] [CrossRef]
  26. Worobey, M. Phylogenetic evidence against evolutionary stasis and natural abiotic reservoirs of influenza A virus. J. Virol. 2008, 82, 3769–3774. [Google Scholar] [CrossRef]
  27. Rambaut, A.; Lam, T.T.; Max Carvalho, L.; Pybus, O.G. Exploring the temporal structure of heterochronous sequences using TempEst (formerly Path-O-Gen). Virus Evol. 2016, 2, vew007. [Google Scholar] [CrossRef]
  28. Suchard, M.A.; Lemey, P.; Baele, G.; Ayres, D.L.; Drummond, A.J.; Rambaut, A. Bayesian phylogenetic and phylodynamic data integration using BEAST 1.10. Virus Evol. 2018, 4, vey016. [Google Scholar] [CrossRef]
  29. Yu, Y.; Harris, A.J.; Blair, C.; He, X. RASP (Reconstruct Ancestral State in Phylogenies): A tool for historical biogeography. Mol. Phylogenet. Evol. 2015, 87, 46–49. [Google Scholar] [CrossRef]
  30. Zhang, Y.H.; Liu, C.H.; Wang, Q.; Wang, Y.L.; Zhou, C.Y.; Zhou, Y. Identification of Dialeurodes citri as a Vector of Citrus yellow vein clearing virus in China. Plant Dis. 2019, 103, 65–68. [Google Scholar] [CrossRef]
  31. Holland, J.; Spindler, K.; Horodyski, F.; Grabau, E.; Nichol, S.; VandePol, S. Rapid evolution of RNA genomes. Science 1982, 215, 1577–1585. [Google Scholar] [CrossRef]
  32. Wu, Z.; Ma, G.; Zhu, H.; Chen, M.; Huang, M.; Xie, X. Plant Viral Coat Proteins as Biochemical Targets for Antiviral Compounds. J. Agric. Food Chem. 2022, 70, 8892–8900. [Google Scholar] [CrossRef] [PubMed]
  33. Shen, J.; Guo, J.; Chen, X.; Cai, W.; Du, Z.; Zhang, Y. The Spatial Diffusion of Cherry Leaf Roll Virus Revealed by a Bayesian Phylodynamic Analysis. Viruses 2022, 14, 2179. [Google Scholar] [CrossRef] [PubMed]
  34. Meena, R.P.; Baranwal, V.K. Genetic diversity of the coat protein gene and biological variation of Citrus yellow vein clearing virus infecting different citrus species. Trop. Plant Pathol. 2020, 45, 467–475. [Google Scholar] [CrossRef]
  35. Lefeuvre, P.; Martin, D.P.; Harkins, G.; Lemey, P.; Gray, A.J.; Meredith, S.; Lakay, F.; Monjane, A.; Lett, J.M.; Varsani, A.; et al. The spread of tomato yellow leaf curl virus from the Middle East to the world. PLoS Pathog. 2010, 6, e1001164. [Google Scholar] [CrossRef]
  36. De Bruyn, A.; Villemot, J.; Lefeuvre, P.; Villar, E.; Hoareau, M.; Harimalala, M.; Abdoul-Karime, A.L.; Abdou-Chakour, C.; Reynaud, B.; Harkins, G.W.; et al. East African cassava mosaic-like viruses from Africa to Indian ocean islands: Molecular diversity, evolutionary history and geographical dissemination of a bipartite begomovirus. BMC Evol. Biol. 2012, 12, 228. [Google Scholar] [CrossRef] [PubMed]
  37. Monjane, A.L.; Harkins, G.W.; Martin, D.P.; Lemey, P.; Lefeuvre, P.; Shepherd, D.N.; Oluwafemi, S.; Simuyandi, M.; Zinga, I.; Komba, E.K.; et al. Reconstructing the history of maize streak virus strain a dispersal to reveal diversification hot spots and its origin in southern Africa. J. Virol. 2011, 85, 9623–9636. [Google Scholar] [CrossRef] [PubMed]
  38. Villabona-Arenas, C.J.; Hanage, W.P. Phylogenetic interpretation during outbreaks requires caution. Nat. Microbiol. 2020, 5, 876–877. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Citrus yellow vein clearing virus (CYVCV) outbreaks and traits. (A). Global distribution of CYVCV. The global occurrence of CYVCV, except South Korea, was derived from data reported in the European and Mediterranean Plant Protection Organization Global Database, accessed in August 2023.The emerging of CYVCV in Tulare County, California, United States was marked wit a red dot. All the others were marked with orange circles. (B). A typical branch of Eureka lemon (Citrus limon) and Sour orange (C. aurantium) trees showing a typical CYVCV-induced yellow vein clearing phenotype in the greenhouse. (C). RT-qPCR data shows the distribution patterns of CYVCV in lemon stem, leaf, and flower. X axis depicts different citrus organs, while Y axis stands for the relative expression of Citrus yellow vein clearing virus. The citrus Nad5 gene was used as an internal control. Three biological tests were repeated, and a similar trend was obtained.
Figure 1. Citrus yellow vein clearing virus (CYVCV) outbreaks and traits. (A). Global distribution of CYVCV. The global occurrence of CYVCV, except South Korea, was derived from data reported in the European and Mediterranean Plant Protection Organization Global Database, accessed in August 2023.The emerging of CYVCV in Tulare County, California, United States was marked wit a red dot. All the others were marked with orange circles. (B). A typical branch of Eureka lemon (Citrus limon) and Sour orange (C. aurantium) trees showing a typical CYVCV-induced yellow vein clearing phenotype in the greenhouse. (C). RT-qPCR data shows the distribution patterns of CYVCV in lemon stem, leaf, and flower. X axis depicts different citrus organs, while Y axis stands for the relative expression of Citrus yellow vein clearing virus. The citrus Nad5 gene was used as an internal control. Three biological tests were repeated, and a similar trend was obtained.
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Figure 2. Citrus yellow vein clearing virus (CYVCV) nucleotide diversity. (A). Multiple alignment reveals the base-pair with frequency-based difference, which was marked with red in the figure. (B). VIRDIC generated heatmap incorporating intergenomic the right half, the color-coding allows a rapid visualization of the intergenomic similarity of CYVCV genomes. The CYVCV CA isolates were marked with red.
Figure 2. Citrus yellow vein clearing virus (CYVCV) nucleotide diversity. (A). Multiple alignment reveals the base-pair with frequency-based difference, which was marked with red in the figure. (B). VIRDIC generated heatmap incorporating intergenomic the right half, the color-coding allows a rapid visualization of the intergenomic similarity of CYVCV genomes. The CYVCV CA isolates were marked with red.
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Figure 3. Construction of non-rooted and rooted phylogenetic tree upon Citrus yellow vein clearing virus (CYVCV). (A). Neighbor network reconstruction of the complete genomes of 57 CYVCV isolates. The clade of CYVCV CA isolates is marked red. (B). Maximum isolates identified as recombinant. The clade of CYVCV CA isolates is marked with red. An India virus isolate in the same clade with CYVCV CA isolates is labeled with blue. Rooting method: Midpoint. Node labels display: posterior probabilities.
Figure 3. Construction of non-rooted and rooted phylogenetic tree upon Citrus yellow vein clearing virus (CYVCV). (A). Neighbor network reconstruction of the complete genomes of 57 CYVCV isolates. The clade of CYVCV CA isolates is marked red. (B). Maximum isolates identified as recombinant. The clade of CYVCV CA isolates is marked with red. An India virus isolate in the same clade with CYVCV CA isolates is labeled with blue. Rooting method: Midpoint. Node labels display: posterior probabilities.
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Figure 4. Construction of non-rooted phylogenetic tree upon Citrus yellow vein clearing virus (CYVCV) coat protein (CP) sequence. (A). Neighbor network reconstruction of the CP sequence of 79 CYVCV isolates. The clade of CYVCV CA isolates is marked red. (B). Construction of a Maximum likelihood tree to trace the most recent ancestor of CYVCV CA isolates upon the 79 CP sequence examined in this study. The clade of CYVCV CA isolates is marked red. Four India virus isolates in the same clade with CYVCV CA isolates are labeled with blue. Rooting method: Midpoint. Node labels display: posterior probabilities.
Figure 4. Construction of non-rooted phylogenetic tree upon Citrus yellow vein clearing virus (CYVCV) coat protein (CP) sequence. (A). Neighbor network reconstruction of the CP sequence of 79 CYVCV isolates. The clade of CYVCV CA isolates is marked red. (B). Construction of a Maximum likelihood tree to trace the most recent ancestor of CYVCV CA isolates upon the 79 CP sequence examined in this study. The clade of CYVCV CA isolates is marked red. Four India virus isolates in the same clade with CYVCV CA isolates are labeled with blue. Rooting method: Midpoint. Node labels display: posterior probabilities.
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Figure 5. Maximum clade credibility BEAST tree reconstructed upon the 38 selected Citrus yellow vein clearing virus whole genome sequences. The different color of the taxa indicates different geological distribution: Blue: East Asia (China and South Korea); Red: North America (United States); Black: South Asia (India and Pakistan) and Middle East (Türkiye). Branch labels display posterior. Node bars display the 95% highest posterior density of the node heights. The tree was visualized and modified with FigTree v.1.4.3.
Figure 5. Maximum clade credibility BEAST tree reconstructed upon the 38 selected Citrus yellow vein clearing virus whole genome sequences. The different color of the taxa indicates different geological distribution: Blue: East Asia (China and South Korea); Red: North America (United States); Black: South Asia (India and Pakistan) and Middle East (Türkiye). Branch labels display posterior. Node bars display the 95% highest posterior density of the node heights. The tree was visualized and modified with FigTree v.1.4.3.
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Figure 6. Time-calibrated biogeographic phylogenetic tree of Citrus yellow vein clearing virus (CY VCV). (A). Cropped reconstruction of CYVCV evolutionary history and dynamics of upon Bayesian evolutionary analysis. Colored dots indicate the biogeographic distribution of CYVCV isolates. The circles illustrate the mostly likely distribution status of the most recent common ancestor in key nodes only. (B). A schematic map exhibits the CYVCV outbreaks and hypothesized transmission routes. The sampling localities (colored spots) were categorized into four regions of major clades, as California, USA/North America, South Asia (Pakistan and India shaded in blue), Middle East (Türkiye and Iran shaded in purple), and East Asia (China and South Korea shaded in brown). The red arrows point to the referred transmission routes.
Figure 6. Time-calibrated biogeographic phylogenetic tree of Citrus yellow vein clearing virus (CY VCV). (A). Cropped reconstruction of CYVCV evolutionary history and dynamics of upon Bayesian evolutionary analysis. Colored dots indicate the biogeographic distribution of CYVCV isolates. The circles illustrate the mostly likely distribution status of the most recent common ancestor in key nodes only. (B). A schematic map exhibits the CYVCV outbreaks and hypothesized transmission routes. The sampling localities (colored spots) were categorized into four regions of major clades, as California, USA/North America, South Asia (Pakistan and India shaded in blue), Middle East (Türkiye and Iran shaded in purple), and East Asia (China and South Korea shaded in brown). The red arrows point to the referred transmission routes.
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Table 1. The group, accession number, name, location, and collected years of 57 reported Citrus yellow vein clearing virus (CYVCV) genomes.
Table 1. The group, accession number, name, location, and collected years of 57 reported Citrus yellow vein clearing virus (CYVCV) genomes.
GroupsAccession NumberIsolate NameLocationCollected Year
South Asia, Middle East, and North AmericaOR037276.1CYVCV CA1California, USA2022
South Asia, Middle East, and North AmericaOR670060CYVCV CA2California, USA2023
South Asia, Middle East, and North AmericaOR670061CYVCV CA3California, USA2023
South Asia, Middle East, and North AmericaKT345342.1CYVCV ISPakistan1992
South Asia, Middle East, and North AmericaKP313241.1CYVCV KPPakistan2012
South Asia, Middle East, and North AmericaJX040635.1CYVCV Y1Türkiye2000
South Asia, Middle East, and North AmericaMT951237.1CYVCV Y2Türkiye2020
South Asia, Middle East, and North AmericaKT696513.1CYVCV KPMIIndia2009
South Asia, Middle East, and North AmericaKT696512.1CYVCV PALIIndia2012
South Asia, Middle East, and North AmericaKT696511.1CYVCV RMGIIndia2014
South Asia, Middle East, and North AmericaKT696510.1CYVCV ECAIIndia2014
East Asia/C1NC_026592.1CYVCV CQChongqing, China2012
East Asia/C1MK415926.1CYVCV HP-MRJYunnan, China2018
East Asia/C1MK415925.1CYVCV JS-RN1Yunnan, China2018
East Asia/C1MK415923.1CYVCV YN-KPJYunnan, China2018
East Asia/C1KX156746.1CYVCV JX-NFJiangxi, China2015
East Asia/C1KX156747.1CYVCV JX-NHJiangxi, China2015
East Asia/C1KX156745.1CYVCV HN-STGHunan, China2015
East Asia/C1KX156744.1CYVCV HN-GXPHunan, China2015
East Asia/C1KX156743.1CYVCV GZ-GXPGuizhou, China2015
East Asia/C1KX156741.1CYVCV GX-GXPGuizhou, China2015
East Asia/C1KX156740.1CYVCV GD-STPGuangdong, China2015
East Asia/C1KX156739.1CYVCV GD-STJGuangdong, China2015
East Asia/C1KX156738.1CYVCV GD-JGGuangdong, China2015
East Asia/C1KX156737.1CYVCV FJ-PKFujian, China2015
East Asia/C1KX156736.1CYVCV CQ-TAChongqing, China2015
East Asia/C1KX156735.1CYVCV CQ-POChongqing, China2015
East Asia/C1KT124646.1CYVCV HUHunan, China2007
East Asia/C1KP313240.1CYVCV CQChongqing, China2012
East Asia/C2KP313242.1CYVCV YNYunnan, China2012
East Asia/C2KP120977.1CYVCV RLYunnan, China2009
East Asia/C2MW429489.1CYVCV AY142Sichuan, China2019
East Asia/C2MW429487.1CYVCV AY112Sichuan, China2019
East Asia/C2MG878869.1CYVCV AY204Sichuan, China2012
East Asia/C2MW429488.1CYVCV AY132Sichuan, China2019
East Asia/C2MW429491.1CYVCV AY221Sichuan, China2019
East Asia/C2MW429490.1CYVCV AY212Sichuan, China2019
East Asia/C3KX156750.1CYVCV YN-BTCYunnan, China2015
East Asia/C3KX156752.1CYVCV YN-NHYunnan, China2015
East Asia/C3KX156751.1CYVCV YN-ELYunnan, China2015
East Asia/C3KX156734.1CYVCV YN-SAYunnan, China2015
East Asia/C4KX156742.1CYVCV GX-STJGuangxi, China2015
East Asia/C4KX156749.1CYVCV SC-NHSichuan, China2015
East Asia/C4KX156748.1CYVCV SC-ELSichuan, China2015
East Asia/C5KX378154.1CYVCV JXJiangxi, China2015
East Asia/C5MF563877.1CYVCV JXJiangxi, China2015
East Asia/C6KY933797.1CYVCV ZJ4Zhejiang, China2016
East Asia/C6KY933796.1CYVCV ZJ3Zhejiang, China2016
East Asia/C6KY933795.1CYVCV ZJ2Zhejiang, China2016
East Asia/C6KY933794.1CYVCV ZJ1Zhejiang, China2016
East Asia/C7MK415928.1CYVCV BJ-QPJYunnan, China2018
East Asia/C7MK415927.1CYVCV BJ-WGYunnan, China2018
East Asia/C7MK415924.1CYVCV BJ-HMRYunnan, China2018
East Asia/SK1OL581610.1CYVCV GJ1South Korea2020
East Asia/SK1OL441344.1CYVCV GJ2South Korea2020
East Asia/SK1OQ174723.1CYVCV GJ3South Korea2021
East Asia/SK1OL441345.1CYVCV GJ4South Korea2020
Table 2. The group, accession number, location, and collected years of 79 Citrus yellow vein clearing virus (CYVCV) coat protein sequences.
Table 2. The group, accession number, location, and collected years of 79 Citrus yellow vein clearing virus (CYVCV) coat protein sequences.
GroupsAccession NumberLocationCollected Year
North AmericaOR670060/CPUSA2023
North AmericaOR670061/CPUSA2023
North AmericaWKQ63386.1USA2022
Middle EastAFO65015.1Türkiye2000
Middle EastUIS31351.1Türkiye2020
Middle EastMW600321.1Iran2021
Middle EastMW600323.1Iran2021
Middle EastMW600325.1Iran2021
Middle EastMW600324.1Iran2021
Middle EastMN547328.1Iran2019
Middle EastKX902487.1Iran2016
Middle EastMW600322.1Iran2021
Middle EastMN547331.1Iran2019
Middle EastMN547329.1Iran2019
Middle EastMN547330.1Iran2019
Middle EastKX902486.1Iran2016
Middle EastKX902488.1Iran2016
South AsiaANQ46537.1Pakistan1992
South AsiaAJO26409.1Pakistan2012
South AsiaAOO32398.1India2009
South AsiaKT696514.1India2014
South AsiaKT696515.1India2014
South AsiaAOO32392.1India2012
South AsiaKT696521.1India2014
South AsiaKT696517.1India2014
South AsiaKT696519.1India2014
South AsiaAOO32380.1India2014
South AsiaKT696522.1India2014
South AsiaKT696516.1India2014
South AsiaKT696518.1India2014
South AsiaKT696520.1India2014
South AsiaAOO32386.1India2014
East AsiaQZN83553.1China2020
East AsiaQIN54958.1China2018
East AsiaQIN54976.1China2018
East AsiaAVQ67743.1China2016
East AsiaAVQ67749.1China2016
East AsiaAVQ67761.1China2016
East AsiaAVQ67755.1China2016
East AsiaQIN54982.1China2018
East AsiaWCR39905.1China2019
East AsiaWBG00067.1China2019
East AsiaAWJ64286.1China2012
East AsiaWBG00073.1China2019
East AsiaWBG00079.1China2019
East AsiaAKG26810.1China2009
East AsiaWBG00085.1China2019
East AsiaWBG00091.1China2019
East AsiaAJO26415.1China2012
East AsiaQIN54952.1China2018
East AsiaYP009124992.1China2012
East AsiaAJO26403.1China2012
East AsiaANO39204.1China2007
East AsiaQIN54970.1China2018
East AsiaASK39436.1China2015
East AsiaASK39538.1China2015
East AsiaASK39520.1China2014
East AsiaASK39526.1China2015
East AsiaASK39532.1China2015
East AsiaASK39484.1China2015
East AsiaASK39544.1China2015
East AsiaASK39442.1China2014
East AsiaASK39448.1China2014
East AsiaASK39472.1China2015
East AsiaASK39466.1China2015
East AsiaASK39460.1China2015
East AsiaASK39502.1China2015
East AsiaASK39508.1China2015
East AsiaASK39478.1China2014
East AsiaASK39514.1China2015
East AsiaASK39454.1China2015
East AsiaASK39496.1China2015
East AsiaASK39490.1China2015
East AsiaQIN54964.1China2018
East AsiaAWV91523.1China2015
East AsiaAOX49234.1China2015
East AsiaUYW66709.1South Korea2022
East AsiaUYW66724.1South Korea2022
East AsiaUYW66718.1South Korea2022
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Sun, Y.-D.; Yokomi, R. Genotype Sequencing and Phylogenetic Analysis Revealed the Origins of Citrus Yellow Vein Clearing Virus California Isolates. Viruses 2024, 16, 188. https://doi.org/10.3390/v16020188

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Sun Y-D, Yokomi R. Genotype Sequencing and Phylogenetic Analysis Revealed the Origins of Citrus Yellow Vein Clearing Virus California Isolates. Viruses. 2024; 16(2):188. https://doi.org/10.3390/v16020188

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Sun, Yong-Duo, and Raymond Yokomi. 2024. "Genotype Sequencing and Phylogenetic Analysis Revealed the Origins of Citrus Yellow Vein Clearing Virus California Isolates" Viruses 16, no. 2: 188. https://doi.org/10.3390/v16020188

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Sun, Y. -D., & Yokomi, R. (2024). Genotype Sequencing and Phylogenetic Analysis Revealed the Origins of Citrus Yellow Vein Clearing Virus California Isolates. Viruses, 16(2), 188. https://doi.org/10.3390/v16020188

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