Data/hora: 26/06/2024 06:41:57

Biblioteca(s): | Biblioteca Rui Tendinha.
Data corrente: | 24/06/2019
Data da última atualização: | 24/06/2019
Autoria: | PERON, F. N.; CALLONI, R.; VENTURA, J. A.; FERNANDES, P. M. B.
Afiliação: | UFES; UFGRS; Jose Aires Ventura, Incaper; UFES.
Título: | Bioinformatics approach to the study of the molecular behaviour of mealybug wilt of pineapple.
Ano de publicação: | 2019
Fonte/Imprenta: | Acta Horticulturae, 1239, p. 177-184, 2019.
DOI: | 10.17660/ActaHortic.2019.1239.22
Idioma: | Inglês
Conteúdo: | Mealybug wilt of pineapple (MWP) is a disease caused by the Pineapple mealybug wilt-associated virus (PMWaV) complex transmitted by Dysmicoccus brevipes and D. neobrevipes. MWP symptoms are characterized by root dessication, leaf wilting and consequent failure to produce a fruit. The molecular mechanisms involved in the pineapple-PMWaV interaction for MWP symptomatology are still unclear. In this work, mRNAs of asymptomatic and symptomatic pineapple plants were evaluated using Illumina RNA sequencing technology. From a total of 79 million reads per sample, 16,097 genes were identified using STAR aligner and HTseq for paired-end files. Differentially expressed genes (DEGs) between the evaluated groups were estimated using DESeq2 and edgeR, with an FDR cutoff of &#8804;0.05. A total of 207 DEGs were detected, with 61 upregulated and 146 downregulated in symptomatic plants infected by PMWaV-2. The methodologies improved by the assays presented in this article and the detected DEGs can substantiate further researches with pineapple and the MWP disease.
Palavras-Chave: | Abacaxi.
Thesaurus NAL: | Bioinformatics; DESeq2; EdgeR; Pineapple; PMWaV; STAR; Transcriptomic.
Categoria do assunto: | X Pesquisa, Tecnologia e Engenharia
Registro original: | Biblioteca Rui Tendinha (BRT)
Exemplares: | BRT - (22610-1) - UMT - AP - DD -  -  -  - DIS