MASSÉ, Delphine; CANDRESSE, Thierry; FILLOUX, Denis; MASSART, Sébastien; CASSAM, Nathalie; HOSTACHY, Bruno; MARAIS, Armelle; FERNANDEZ, Emmanuel; ROUMAGNAC, Philippe; VERDIN, Eric; TEYCHENEY, Pierre-Yves; LETT, Jean-Michel; LEFEUVRE, Pierre

doi:10.3390/v16071146

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MASSÉ, Delphine
Peuplements végétaux et bioagresseurs en milieu tropical [UMR PVBMT]
Unité Ravageurs et agents pathogènes tropicaux [RAPT]

CANDRESSE, Thierry
Biologie du fruit et pathologie [BFP]

FILLOUX, Denis
Plant Health Institute of Montpellier [UMR PHIM]

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Viruses. 2024-07-16, vol. 16, n° 7, p. 1146

MDPI

Résumé en anglais

The cultivation of pineapple (Ananas comosus) is threatened worldwide by mealybug wilt disease of pineapple (MWP), whose etiology is not yet fully elucidated. In this study, we characterized pineapple mealybug wilt-associated ampeloviruses (PMWaVs, family Closteroviridae) from a diseased pineapple plant collected from Reunion Island, using a high-throughput sequencing approach combining Illumina short reads and Nanopore long reads. Reads co-assembly resulted in complete or near-complete genomes for six distinct ampeloviruses, including the first complete genome of pineapple mealybug wilt-associated virus 5 (PMWaV5) and that of a new species tentatively named pineapple mealybug wilt-associated virus 7 (PMWaV7). Short reads data provided high genome coverage and sequencing depths for all six viral genomes, contrary to long reads data. The 5′ and 3′ ends of the genome for most of the six ampeloviruses could be recovered from long reads, providing an alternative to RACE-PCRs. Phylogenetic analyses did not unveil any geographic structuring of the diversity of PMWaV1, PMWaV2 and PMWaV3 isolates, supporting the current hypothesis that PMWaVs were mainly spread by human activity and vegetative propagation.< Réduire

Mots clés en anglais

Ananas comosus

pineapple mealybug wilt-associated viruses

ampelovirus

high-throughput sequencing

short and long reads

molecular diversity

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Characterization of six ampeloviruses infecting pineapple in Reunion Island using a combination of high-throughput sequencing approaches

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