Data/hora: 10/07/2024 23:42:23

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