2020
DOI: 10.3389/fmicb.2020.553109
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High-Throughput Sequencing for Deciphering the Virome of Alfalfa (Medicago sativa L.)

Abstract: Alfalfa ( Medicago sativa L.), also known as lucerne, is a major forage crop worldwide. In the United States, it has recently become the third most valuable field crop, with an estimated value of over $9.3 billion. Alfalfa is naturally infected by many different pathogens, including viruses, obligate parasites that reproduce only inside living host cells. Traditionally, viral infections of alfalfa have been considered by breeders, growers, producers and researchers to be diseases of limi… Show more

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Cited by 27 publications
(29 citation statements)
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References 111 publications
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“…Eight of these contigs correspond to six virus species infecting alfalfa that have already been reported [ 37 ]. Their genomes share high levels of genome identity with their closest relatives (98.2% to 100% n t identity).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Eight of these contigs correspond to six virus species infecting alfalfa that have already been reported [ 37 ]. Their genomes share high levels of genome identity with their closest relatives (98.2% to 100% n t identity).…”
Section: Resultsmentioning
confidence: 99%
“…Their genomes share high levels of genome identity with their closest relatives (98.2% to 100% n t identity). These viruses likely represent new isolates belonging to six plant virus species ( Supplementary Table S4, Supplementary Figures S3–S6 ), namely, Alfalfa mosaic virus ( Bromoviridae , Alfamovirus genus), Medicago sativa amalgavirus 1 ( Amalgaviridae , Amalgavirus ), Medicago sativa alphapartitiviruses 1 and 2 ( Partitiviridae , Alphapartitivirus ), Bean leafroll virus ( Luteoviridae , Luteovirus ) and Alfalfa virus F ( Tymoviridae , Marafivirus ) [ 37 ].…”
Section: Resultsmentioning
confidence: 99%
“…The scientific interest of the submitters of transcriptome datasets is often limited to a narrow objective within their specific field of study, which leaves a large amount of potentially valuable data not analyzed [ 7 ]. In such transcriptome datasets, viral sequences may be hidden in plain sight; thus, their analysis has become a valuable tool for the discovery of novel viral sequences [ 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 ].…”
Section: Introductionmentioning
confidence: 99%
“…The scientific interest of the submitters of transcriptome datasets is often limited to a narrow objective within their specific field of study, which leaves a large amount of potentially valuable data not analyzed (Bejerman et al, 2020b). In such transcriptome datasets, viral sequences may be hidden in plain sight, thus their analysis has become a valuable tool for the discovery of novel viral sequences (Debat and Bejerman, 2019; Goh et al, 2020; Jiang et al, 2019; Kim et al, 2018; Lauber et al, 2019; Longdon et al, 2015; Mushegian et al, 2016; Nibert et al, 2018: Sidharthan and Baranwal, 2021).…”
Section: Introductionmentioning
confidence: 99%