Transcriptome analysis of silkworm, Bombyx mori, during early response to Beauveria bassiana challenges

51Citations
Citations of this article
42Readers
Mendeley users who have this article in their library.

Abstract

Host-pathogen interactions are complex processes and it is a central challenge to reveal these interactions. Fungal infection of silkworm, Bombyx mori, may induce a variety of responsive reaction. However, little is known about the molecular mechanism of silkworm immune response against the fungal infection. To obtain an overview of the interaction between silkworm and an entomopathogenic fungus Beauveria bassiana, Digital Gene Expression profiling, a tag based high-throughput transcriptome sequencing method, was employed to screen and identify differentially expressed genes (DEGs, FDR≤0.001, log 2ratio≥1) of silkworm larvae during early response against B. bassiana infection. Total 1430 DEGs including 960 up-regulated and 470 down-regulated ones were identified, of which 627 DEGs can be classified into GO categories by Gene Ontology (GO) analysis. KEGG pathways analysis of these DEGs suggested that many biological processes, such as defense and response, signal transduction, phagocytosis, regulation of gene expression, RNA splicing, biosynthesis and metabolism, protein transport etc. were involved in the interaction between the silkworm and B. bassiana. A number of differentially expressed fungal genes were also identified by mapping the sequencing tags to B. bassiana genome. These results provided new insights to the molecular mechanism of silkworm immune response to B. bassiana infection. © 2014 Hou et al.

Figures

  • Figure 1. Abundance and categories distribution of the total and distinct clean tags of each library.
  • Table 1. Distribution of tags and genes in the DGE libraries.
  • Figure 2. Differentially Expressed Genes in three time points.
  • Figure 4. Number of common differentially expressed genes between different time points post-inoculation.
  • Figure 3. Clustering analysis of the intersection of DEGs in three time points. Each column represents a time point, each row represents a gene. Expressional differences are shown in different colors. Red means up-regulated and green means down-regulated. doi:10.1371/journal.pone.0091189.g003
  • Figure 5. Comparation of Real-time qPCR detection with DGE profiling. SP1: neutral lipase. SP2: Bm8 interacting protein 2d-4 precursor. SP3: glucose transporter. SP4: hypothetical protein KGM_13211. SP5: troponin C. SP6: ecdysone-induced protein 63F 1. SP7: amidase. SP8: vacuolar ATP synthase subunit D. SP9: serine protease 13. SP10: putative protein phosphatase-5. SP11: hemolymph proteinase 18. SP12: peptidoglycan recognition protein S6 precursor. doi:10.1371/journal.pone.0091189.g005
  • Table 2. KEGG Pathways identified at 8, 15 and 24 hpi.
  • Table 3. DEGs involved in the significantly enriched KEGG Pathways at 8, 15 and 24 hpi.

References Powered by Scopus

Analysis of relative gene expression data using real-time quantitative PCR and the 2<sup>-ΔΔC</sup>T method

149922Citations
N/AReaders
Get full text

Novel signal transduction pathway utilized by extracellular HSP70. Role of toll-like receptor (TLR) 2 and TLR4

1328Citations
N/AReaders
Get full text

Insect hemocytes and their role in immunity

1299Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Immune responses to bacterial and fungal infections in the silkworm, Bombyx mori

70Citations
N/AReaders
Get full text

Diet modulates the relationship between immune gene expression and functional immune responses

59Citations
N/AReaders
Get full text

Bombyx mori cecropin A has a high antifungal activity to entomopathogenic fungus Beauveria bassiana

54Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Hou, C., Qin, G., Liu, T., Geng, T., Gao, K., Pan, Z., … Guo, X. (2014). Transcriptome analysis of silkworm, Bombyx mori, during early response to Beauveria bassiana challenges. PLoS ONE, 9(3). https://doi.org/10.1371/journal.pone.0091189

Readers over time

‘14‘15‘16‘17‘18‘19‘20‘21‘22‘23‘24‘2502468

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 23

74%

Researcher 6

19%

Professor / Associate Prof. 1

3%

Lecturer / Post doc 1

3%

Readers' Discipline

Tooltip

Agricultural and Biological Sciences 24

75%

Biochemistry, Genetics and Molecular Bi... 6

19%

Nursing and Health Professions 1

3%

Environmental Science 1

3%

Save time finding and organizing research with Mendeley

Sign up for free
0