The microsporidium is a high prevalent parasite of the European honey bee (). This parasite is spreading across the world into its novel host. The developmental process, and some mechanisms of -infected honey bees, has been studied thoroughly; however, few studies have been carried out in the mechanism of gene expression in during the infection process. We therefore performed the suppressive subtractive hybridization (SSH) approach to investigate the candidate genes of during its infection process. All 96 clones of infected (forward) and non-infected (reverse) library were dipped onto the membrane for hybridization. A total of 112 differentially expressed sequence tags (ESTs) had been sequenced. For the host responses, 20% of ESTs (13 ESTs, 10 genes, and 1 non-coding RNA) from the forward library and 93.6% of ESTs (44 ESTs, 28 genes) from the reverse library were identified as differentially expressed genes (DEGs) of the hosts. A high percentage of DEGs involved in catalytic activity and metabolic processes revealed that the host gene expression change after infection might lead to an unbalance of physiological mechanism. Among the ESTs from the forward library, 75.4% ESTs (49 ESTs belonged to 24 genes) were identified as genes. Out of 24 genes, nine DEGs were subject to real-time quantitative reverse transcription PCR (real-time qRT-PCR) for validation. The results indicated that these genes were highly expressed during infection. Among nine genes, one gene (AAJ76_1600052943) showed the highest expression level after infection. These identified differentially expressed genes from this SSH could provide information about the pathological effects of . Validation of nine up-regulated genes reveal high potential for the detection of early nosemosis in the field and provide insight for further applications.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7143254PMC
http://dx.doi.org/10.3390/insects11030199DOI Listing

Publication Analysis

Top Keywords

differentially expressed
16
genes
12
ests ests
12
honey bees
8
subtractive hybridization
8
gene expression
8
infection process
8
reverse library
8
ests
8
ests genes
8

Similar Publications

Exploring markers in nursing care of prostate cancer.

Medicine (Baltimore)

January 2025

Urology and Metabolic Rehabilitation Center, Beijing Rehabilitation Hospital, Capital Medical University, Xixia Zhuang, Badachu, Shijingshan District, Beijing, China.

Prostate cancer is epithelial malignant prostate hyperplasia caused by a tumor. We found prostate cancer GSE141551 and GSE200879 profiles from gene expression omnibus database, followed by differentially expressed genes (DEGs) analysis, weighted gene co-expression network analysis, protein-protein interaction analysis, gene function enrichment analysis, and comparative toxicology database analysis. Finally, the gene expression heat map was drawn, and miRNA information regulating core DEGs was retrieved.

View Article and Find Full Text PDF

The roles of STAT1, CASP8, and MYD88 in the care of ischemic stroke.

Medicine (Baltimore)

January 2025

Nerve Rehabilitation Center, Beijing Rehabilitation Hospital Affiliated to Capital Medical University, Xixia Zhuang, Badachu, Shijingshan District, Beijing, China.

Ischemic stroke is caused by blockage of blood vessels in brain, affecting normal function. The roles of Signal Transformer and Activator of Transcription 1 (STAT1), CASP8, and MYD88 in ischemic stroke and its care are unclear. The ischemic stroke datasets GSE16561 and GSE180470 were found from the Gene Expression Omnibus database.

View Article and Find Full Text PDF

T-helper 17 (Th17) cells significantly influence the onset and advancement of malignancies. This study endeavor focused on delineating molecular classifications and developing a prognostic signature grounded in Th17 cell differentiation-related genes (TCDRGs) using machine learning algorithms in head and neck squamous cell carcinoma (HNSCC). A consensus clustering approach was applied to The Cancer Genome Atlas-HNSCC cohort based on TCDRGs, followed by an examination of differential gene expression using the limma package.

View Article and Find Full Text PDF

Background: The morbidity and mortality of sepsis remain high, and so far specific diagnostic and therapeutic means are lacking.

Objective: To screen novel biomarkers for sepsis.

Methods: Raw sepsis data were downloaded from the Chinese National Genebank (CNGBdb) and screened for differentially expressed RNAs.

View Article and Find Full Text PDF

Trichoderma spp. are among the most studied biocontrol agents. While extensive work has been done to understand Trichoderma antagonistic mechanisms, additional research is needed to fully understand how Trichoderma spp.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!