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Transcriptomic Analysis of Mating Responses in Bemisia tabaci MED Females
- Source :
- Insects, Volume 11, Issue 5, Insects, Vol 11, Iss 308, p 308 (2020)
- Publication Year :
- 2020
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2020.
-
Abstract
- Mating triggers substantial changes in gene expression and leads to subsequent physiological and behavioral modifications. However, postmating transcriptomic changes responding to mating have not yet been fully understood. Here, we carried out RNA sequencing (RNAseq) analysis in the sweet potato whitefly, Bemisia tabaci MED, to identify genes in females in response to mating. We compared mRNA expression in virgin and mated females at 24 h. As a result, 434 differentially expressed gene transcripts (DEGs) were identified between the mated and unmated groups, including 331 up- and 103 down-regulated. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses revealed that many of these DEGs encode binding-related proteins and genes associated with longevity. An RT-qPCR validation study was consistent with our transcriptomic analysis (14/15). Specifically, expression of P450s (Cyp18a1 and Cyp4g68), ubiquitin-protein ligases (UBR5 and RNF123), Hsps (Hsp68 and Hsf), carboxylase (ACC-2), facilitated trehalose transporters (Tret1-2), transcription factor (phtf), and serine-protein kinase (TLK2) were significantly elevated in mated females throughout seven assay days. These combined results offer a glimpe of postmating molecular modifications to facilitate reproduction in B. tabaci females.
- Subjects :
- 0106 biological sciences
media_common.quotation_subject
Biology
01 natural sciences
Article
Transcriptome
03 medical and health sciences
Gene expression
DEG
KEGG
Mating
lcsh:Science
Gene
Transcription factor
030304 developmental biology
media_common
Genetics
0303 health sciences
Longevity
RNA
010602 entomology
female
Insect Science
lcsh:Q
mating responses
Bemisia tabaci MED
transcriptome
Subjects
Details
- Language :
- English
- ISSN :
- 20754450
- Database :
- OpenAIRE
- Journal :
- Insects
- Accession number :
- edsair.doi.dedup.....1a326bb20034b940681e81e1949e5cd7
- Full Text :
- https://doi.org/10.3390/insects11050308