Version 1
: Received: 23 August 2024 / Approved: 25 August 2024 / Online: 26 August 2024 (16:58:22 CEST)
How to cite:
Gebrekidan, A. G.; Zhang, Y.; Chen, J. A Comprehensive Transcriptomic and Proteomics Analysis of Candidate Secretory Proteins in Rose Grain Aphid, Metopolophium dirhodum (Walker). Preprints2024, 2024081804. https://doi.org/10.20944/preprints202408.1804.v1
Gebrekidan, A. G.; Zhang, Y.; Chen, J. A Comprehensive Transcriptomic and Proteomics Analysis of Candidate Secretory Proteins in Rose Grain Aphid, Metopolophium dirhodum (Walker). Preprints 2024, 2024081804. https://doi.org/10.20944/preprints202408.1804.v1
Gebrekidan, A. G.; Zhang, Y.; Chen, J. A Comprehensive Transcriptomic and Proteomics Analysis of Candidate Secretory Proteins in Rose Grain Aphid, Metopolophium dirhodum (Walker). Preprints2024, 2024081804. https://doi.org/10.20944/preprints202408.1804.v1
APA Style
Gebrekidan, A. G., Zhang, Y., & Chen, J. (2024). A Comprehensive Transcriptomic and Proteomics Analysis of Candidate Secretory Proteins in Rose Grain Aphid, Metopolophium dirhodum (Walker). Preprints. https://doi.org/10.20944/preprints202408.1804.v1
Chicago/Turabian Style
Gebrekidan, A. G., Yong Zhang and Julian Chen. 2024 "A Comprehensive Transcriptomic and Proteomics Analysis of Candidate Secretory Proteins in Rose Grain Aphid, Metopolophium dirhodum (Walker)" Preprints. https://doi.org/10.20944/preprints202408.1804.v1
Abstract
The Rose grain aphid, a notable agricultural pest, releases saliva while feeding. Yet, there is a need for a comprehensive understanding of the specific identity and role of secretory proteins released during probing and feeding. Therefore, a combined transcriptomic and proteomic approach was employed to identify putative secretory proteins. The transcriptomic sequencing result led to the assembly of 18030 unigenes out of 31344 transcripts. Among these, 705 potential secretory proteins were predicted and functionally annotated against publicly accessible protein databases. Notably, a substantial proportion of secretory genes (71.5%, 69.08%, and 60.85%) were predicted to encode known proteins in Nr, Pfam, and Swiss-Prot databases, respectively. Conversely, 27.37% and 0.99% of gene transcripts were predicted to encode known proteins with unspecified functions in the Nr and Swiss-Prot databases, respectively. Meanwhile, the proteomic analysis result discovered, 30 salivary proteins. Interestingly, most salivary proteins (53.3% proteins) showed close similarity to A. craccivora, while 36.67% to A. pisum and A. glycines. However, to verify the expression of these secretory genes and characterize the biological function of salivary proteins further intervention should be geared towards gene expression and functional analysis.
Keywords
Metopolophium dirhodum; unigene; transcriptome; proteome; salivary protein
Subject
Biology and Life Sciences, Biochemistry and Molecular Biology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.