Dataset Information

Identification of Saliva Proteins of the Whitefly Bemisia tabaci

ABSTRACT: The whitefly Bemisia tabaci is a notorious pest of worldwide agriculture. It is believed to secrete saliva to counter plant defenses, but the underlying mechanism remains to be elucidated. Here, we characterize the gene/protein repertoires of B. tabaci salivary glands and secreted saliva by transcriptomic and LC–MS/MS analysis. A total of 698 salivary gland-higher expressed unigenes, as well as 172 saliva proteins are identified. Comparative analysis of the saliva composition in different arthropod species illustrates that proteins associated with binding, hydrolysis and oxidation-reduction are widely distributed in herbivorous saliva. There are 74 saliva proteins exclusively identified in B. tabaci, with 34 of them being B. tabaci-specific. In addition, eleven B. tabaci-specific saliva proteins plastically regulated in response to different diets, which might be associated with wide host range of this pest. Our results gain insight into whitefly–plant interactions, and provide a good resource for functional characterization of effectors

INSTRUMENT(S): Q Exactive

ORGANISM(S): Bemisia Cf. Tabaci Middle East-asia Minor 1

TISSUE(S): Saliva

SUBMITTER: Haijian Huang

LAB HEAD: Hai-Jian Huang

PROVIDER: PXD016581 | Pride | 2020-01-15

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	1.zip	Other
	HHJ.raw	Raw
	P20190400460_BT_SALIVA.raw	Raw

Items per page:

1 - 3 of 3

Similar Datasets

Project description:This is a pilot study. We are trying to detect potential salivary biomarkers in mice with a pancreatic tumor. Global gene expression profiling has shown great promise in high-throughput biomarker discovery for early disease detection in body fluids such as saliva, which is accessible, cost-effective, and non-invasive. However, this goal has not been fully realized because saliva, like many clinical samples, contains partially fragmented and degraded RNAs that are difficult to amplify and detect with prevailing technologies. Here, using nanogram scale salivary RNA as a proof-of-principle example, we describe our progress with a novel poly-A tail independent mRNA amplification strategy combined with the Affymetrix GeneChip Exon arrays. We defined a Salivary Exon Core Transcriptome (SECT) with highly similar expression profiles in healthy individuals verified by quantitative PCR. Informatics analysis of SECT provided important mechanistic insight to their potential origin and function. Finally we demonstrated the diagnostic potential of true exon level expression profiling approach with salivary exon biomarkers that accurately discriminated gender in healthy individuals. Recent studies have demonstrated that discriminatory salivary biomarkers can be readily detected upon the development of systemic diseases such as pancreatic cancer, breast cancer, lung cancer and ovarian cancer. However, the utility of salivary biomarkers for the detection of systemic diseases has been undermined due to the absence of biological and mechanistic rationale why distal diseases from the oral cavity would lead to the development of discriminatory biomarkers in saliva. Here, we examine the hypothesis that pancreatic tumor-derived exosomes are mechanistically involved in the development of pancreatic cancer-discriminatory salivary transcriptomic biomarkers. We first developed a pancreatic cancer mouse model that yielded discriminatory salivary biomarkers by implanting the mouse pancreatic cancer cell line Pan02 into the pancreas of the syngeneic host C57BL/6. The role of pancreatic cancer-derived exosomes in the development of discriminatory salivary biomarkers was then tested by engineered a Pan02 cell line that is suppressed for exosome biogenesis, implanted into the C56BL/6 mouse and examine if the discriminatory salivary biomarker profile was ablated or disrupted. Suppression of exosome biogenesis results in the ablation of discriminatory salivary biomarker development. This study supports that tumor-derived exosomes provide a mechanism in the development of discriminatory biomarkers in saliva and distal systemic diseases. We analyzed saliva from 6 healthy mice and 6 mice with a pancreatic tumor using the Affymetrix Mouse Exon Genome 430 2.0 platform. Array data was processed by dChip. No techinical replicates were performed.

Dataset Information

Identification of Saliva Proteins of the Whitefly Bemisia tabaci

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets