| Literature DB >> 35610325 |
Lev G Nemchinov1, Brian M Irish2, Samuel Grinstead3, Jonathan Shao4, Paulo Vieira4,5.
Abstract
Alfalfa (Medicago sativa L.) is one of the most extensively cultivated forage legumes in the world. It is currently the third most valuable field crop in the United States with an estimated value of over $9.3 billion. Alfalfa productivity is limited by various infectious diseases that can reduce forage yield and quality and shorten stand life. The crop can frequently be infected with a diverse array of pathogens and other organisms that have distinct life cycles, biology, and mode of action. Among them are many coinfecting viruses, that greatly contribute to the heterogeneity of within-host pathogenic communities, representing a ubiquitous and abundant background for all other host-pathogen interactions. Regrettably, the impact of viral diseases, their role in alfalfa health and involvement in the severity of multi-pathogen infections are often underestimated and not well understood. As high-throughput sequencing approaches have been developed, opportunities to delve into these complex interactions can be realized. In this work, we have characterized a diversity of viral populations in several commercial alfalfa production fields located in the U.S. Pacific Northwest. At least 45 distinct viruses have been identified in all alfalfa samples. Among them some were known to infect the crop prior to this study, and others were designated as emerging, novel and viruses integrated into the alfalfa genome. Known viruses included alfalfa mosaic virus, pea streak virus and bean leafroll virus, while among emerging and novel agents were alfalfa virus S, cherry virus Trakiya, several rhabdoviruses and others. Additional biological and impact studies will be needed to determine if newly identified viruses, especially those that have not been reported from alfalfa before, should be considered pathogens of this crop.Entities:
Mesh:
Year: 2022 PMID: 35610325 PMCID: PMC9130302 DOI: 10.1038/s41598-022-12802-4
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.996
Figure 1Symptoms observed in alfalfa samples collected from production fields in the U.S. Pacific Northwest in 2019/2020.
A list of viruses identified based on RNA sequencing data in alfalfa samples collected from production fields in the U.S. Pacific Northwest in 2019/2020.
| Virus names based on top BLAST hits | Proposed taxonomy | Known to infect alfalfa | %, presence |
|---|---|---|---|
| Betaflexiviridae, Carlavirus | Y | 13 | |
| Bromoviridae, Alfamovirus | Y | 85 | |
| Alphaflexiviridae, Allexivirus | Y | 21 | |
| Ancient Northwest Territories cripavirus | Dicistroviridae, Cripovirus | N | 7 |
| Aphis glycines virus 1 | Unclassified Picornavirales | N | 7 |
| Tombusviridae; Luteovirus | Y | 34 | |
| Bombus-associated virus Pic2 | Unclassified Picornavirales | N | 5 |
| Bundaberg bee virus 8 | Unclassified Picornavirales | N | 5 |
| Cherry virus Trakiya | Unclassified Picornavirales | N | 7 |
| Datura yellow vein nucleorhabdovirus | Rhabdoviridae, Nucleorhabdovirus | N | 59 |
| Diabrotica virgifera virgifera virus 2 | Unclassified | N | 2 |
| Diaphorina citri picorna-like virus | unclassified Picornaviridae | N | 2 |
| Faecal-associated gemycircularvirus | Genomoviridae; Gemycircularvirus | N | 2 |
| Figwort mosaic virus | Caulimoviridae; Caulimovirus | N | 47 |
| Garlic yellow virus | Unclassified Betaflexiviridae | N | 4 |
| Hop latent virus | Betaflexiviridae, Carlavirus | N | 7 |
| Horseradish latent virus | Caulimoviridae, Caulimovirus | N | 7 |
| Hubei picorna-like virus | Unclassified Picornavirales | N | 17 |
| Hubei toti-like virus 2 | Unclassified Riboviria | N | 33 |
| HVAC-associated RNA virus 1 | unclassified picorna-like virus | N | 5 |
| Kilifi Virus | Unclassified Picornavirales | N | 2 |
| Kinkell virus | Unclassified Iflaviridae | N | 2 |
| La Jolla virus | Unclassified Iflaviridae | N | 2 |
| Lasius niger virus 1 | Polycipiviridae; Sopolycivirus | N | 2 |
| Solemoviridae, Sobemovirus | Y | 12 | |
| Luckshill virus | unclassified Riboviria | N | 2 |
| Maize associated rhabdovirus | Rhabdoviridae, Cytorhabdovirus | N | 9 |
| Maize sterile stunt virus | Rhabdoviridae, Cytorhabdovirus | N | 12 |
| Maize yellow striate virus | Rhabdoviridae, cytorhabdovirus | N | 59 |
| Maize-associated picornavirus | Unclassified Picornavirales | N | 5 |
| Partitiviridae, Alphapartitivirus | Y | 93 | |
| Partitiviridae, Alphapartitivirus | Y | 56 | |
| Amalgaviridae; unclassified | Y | 72 | |
| Partitiviridae, Deltapartitivirus | Y | 54 | |
| Nesidiocoris tenuis iflavirus 1 | Unclassified Iflaviridae | N | 2 |
| Betaflexiviridae, Carlavirus | Y | 89 | |
| Picorna-like virus, unknown | Unclassified Picornavirales | N | 22 |
| Potato virus X | Alphaflexiviridae, Potexvirus | N | 12 |
| Pyrus pyrifolia cryptic virus | Partitiviridae, Deltapartitivirus | N | 52 |
| River Liunaeg virus | Unclassified Riboviria | N | 2 |
| Rudbeckia flower distortion virus | Caulimoviridae | N | 5 |
| Solenopsis invicta virus 7 | Unclassified | N | 2 |
| Soybean chlorotic mottle virus | Caulimoviridae; Soymovirus | N | 100 |
| Twyford virus | Iflaviridae; Iflavirus | N | 2 |
| Zhuye pepper nucleorhabdovirus | Rhabdoviridae, unclassified | N | 55 |
Bold font: viruses known to infect alfalfa.
Figure 2Phylogenetic relationship of cherry virus Trakiya, alfalfa strain, with other species of the order Picornavirales. The tree was deduced from the ClustalW alignment of complete nucleotide sequences and built using MEGA 7 software with Maximum Likelihood method based on the Tamura-Nei model and bootstrap analysis of 1000 replicates.
Figure 3Detection of viruses identified from alfalfa samples collected from production fields in the U.S. Pacific Northwest in 2019/2020 using RT-PCR. (A) RT-PCR detection of cherry virus Trakiya, alfalfa strain. Lanes 1–4, negative PCR reactions; Lanes 5–7, PCR products amplified from different alfalfa leaves infected with CVT-A using primer pair LN882/883. (B) RT-PCR detection of hop latent virus using primers LN850/LN851. Lanes 1 and 2, negative samples. Lane 3, alfalfa sample infected with HLV. (C) RT-PCR detection of potato virus X using primers LN78/LN79. Lane 1, negative sample. Lane 2, PVX-infected sample. (D) RT-PCR detection of alfalfa nucleorhabdovirus 1 using primers LN846/LN847. Lane 1 and 2, negative reactions. Lane 3, a 437 bp RT-PCR product amplified from infected alfalfa leaves. M, 1 kb plus DNA ladder (Thermo Fisher Scientific, Waltman, MA USA). Arrows indicate amplified PCR products. Original full-length images of the gels are presented in the Supplementary Figure S1.
Figure 4Phylogenetic analysis of lucerne transient streak virus (LTSV) and rhabdoviruses identified in alfalfa samples collected from production fields in the U.S. Pacific Northwest in 2019/2020. (A) Phylogenetic relationship of lucerne transient streak virus (LTSVa-US) with other known isolates of LTSV. The tree was deduced from the ClustalW alignment of LTSVa-US and complete nucleotide sequences of other LTSV isolates. Alfalfa virus S (NC 034622.1) was used as an outgroup. (B) The phylogenetic relationship between rhabdoviruses identified in this study and several classified or proposed members of the family Rhabdoviridae. The tree was deduced from the ClustalW alignment of the proposed new rhabdoviruses with the complete nucleotide sequences of known rhabdoviruses. Rabies lyssavirus (NC 001542.1) was used as an outgroup. The trees were built using MEGA 7 software with Maximum Likelihood method based on the Tamura-Nei model and bootstrap analysis of 1000 replicates.
Putative novel viruses identified in alfalfa samples collected from production fields in the U.S. Pacific Northwest in 2019/2020.
| Contig ID | Top BLAST hit | Accession | %Identity | Provisional name | GenBank ID |
|---|---|---|---|---|---|
| 23296 | Datura yellow vein nucleorhabdovirus | KM823531 | 65 | Alfalfa nucleorhabdovirus 1 (ANRV 1) | OK514705 |
| 7492 | Maize yellow striate cytorhabdovirus | YP_010086409.1 | 31 | Alfalfa cytorhabdovirus 1 (ACRV 1) | OK514706 |
| 75314 | Maize sterile stunt cytorhabdovirus | QBJ27588.1 | 38 | Alfalfa cytorhabdovirus 2 (ACRV 2) | OK514707 |
| 30828 | Hubei toti-like virus 2 | YP_009336495.1 | 45 | Alfalfa-associated toti-like virus 1 (AATLV 1) | OK514708 |
| 18473 | Ryboviria spp; Arma picornavirus GZ | QKN89031; QNJ34549 | 31–46 | Alfalfa-associated picorna-like virus (AAPLV 1) | OK514709 |
| 49839 | Picorna-like virus | QED21508.1 | 25 | Alfalfa associated picorna-like virus (AAPLV 2) | N/A |
| 67368 | Pyrus pyrifolia cryptic virus | BBA20646.1 | 36 | Alfalfa deltaparitivirus (ADPV) | OK514710 |
Figure 5Phylogenetic analysis of the newly identified toti-like and picorna-like viruses found in alfalfa samples collected from production fields in the U.S. Pacific Northwest in 2019/2020. (A) The phylogenetic tree was deduced from the ClustalW alignment of the proposed alfalfa toti-like virus with the complete nucleotide sequences of the representative species and unclassified members of the family Totiviridae. Allium cepa amalgavirus 1_(NC_036580.1) was used as an outgroup. (B) The phylogenetic tree was deduced from the ClustalW alignment of the proposed alfalfa-associated picorna-like viruses AAPLV1 and AAPLV-2 with the complete nucleotide sequences of the selected members and unclassified viruses of the order Picornavirales. Tobacco etch virus_M15239.1 was used as an outgroup. The trees were built using MEGA 7 software with Maximum Likelihood method based on the Tamura-Nei model and bootstrap analysis of 1000 replicates.
Figure 6Phylogenetic analysis of the newly identified alfalfa deltaparitivirus (ADPV) found in alfalfa samples collected from production fields in the U.S. Pacific Northwest in 2019/2020, and endogenous virus resembling soybean chlorotic mottle virus (SbCMV-like). (A) The phylogenetic tree was deduced from the ClustalW alignment of the proposed ADPV with the complete nucleotide sequences of the representative members of the family Partitiviridae. Medicago sativa amalgavirus 1 (MW676142.1) was used as an outgroup. (B) The phylogenetic tree was deduced from the ClustalW alignment of the SbCMVL with the complete nucleotide sequences of the representative species from each genus of the family Caulimoviridae. The trees were built using MEGA 7 software with Maximum Likelihood method based on the Tamura-Nei model and bootstrap analysis of 1000 replicates.
Figure 7Example of the viral insert in chromosome 8.3 of the tetraploid alfalfa genome (A) and a simplified representation of the evolution of pathogen virulence and reduction of host fitness in co-infected plants (B,C). (A) Blue rectangular boxes: portions of alfalfa tetraploid genomes surrounding the viral insert. Yellow rectangular box: 820 nucleotides-long viral insert. Dots indicate continuous nucleotide sequence. (B) Multi-pathogen interactions of different types may increase genetic diversity of microbes, result in novel recombinant genotypes, and impact host susceptibility and defense responses. (C) Consequently, transmission rates may change, following by host range expansion.