Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Changes in Gene Expression in the Larval Gut of Ostrinia nubilalis in Response to Bacillus thuringiensis Cry1Ab Protoxin Ingestion

ABSTRACT: This microarray was used to monitor gene expression in early third-instar larvae of Bt-susceptible O. nubilalis after 6-h feeding on diet with or without Bacillus thuringiensis (Bt) Cry1Ab protoxin.We identified 174 transcripts, for which the expression was changed more than 2-fold in the gut of the larvae fed Cry1Ab protoxin (p<0.05), representing 80 down-regulated and 94 up-regulated transcripts. Among 174 differentially expressed transcripts, 13 transcripts putatively encode proteins that are potentially involved in Bt toxicity, and these transcripts include eight serine proteases, three aminopeptidases, one alkaline phosphatase, and one cadherin. Cry1Ab protoxin ingestion induced gene expression was measured in O. nubilalis gut at 6 after Cry1Ab protoxin toxin exposure to doses of 0.25 M-NM-

ORGANISM(S): Ostrinia nubilalis

SUBMITTER: jianxiu yao

PROVIDER: E-GEOD-55685 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Shared Molecules

Only show the datasets with similarity scores above: 0.5

Threshold

0.5

Similar Datasets

Project description:Host-pathogen interactions result in complex relationship, many aspects of which are not completely understood. Vip proteins, which are Bacillus thuringensis (Bt) insecticidal toxins produced during the vegetative stage, are selectively effective against specific insect pests. This new group of Bt proteins represents an interesting alternative to the classical Bt Cry toxins because current data suggests that they do not share the same mode of action. We have designed and developed a genome-wide microarray for the beet armyworm Spodoptera exigua, a serious lepidopteran pest of many agricultural crops, and used it to better understand how Lepidopteran larvae respond to the treatment with the insecticidal protein Vip3Aa. With this approach, the goal of our study was to evaluate the changes in gene expression levels caused by treatment with sublethal doses (causing 99% growth inhibition) of Vip3Aa at 8 and 24 h after treatment. Results indicated that the toxin provoked a wide transcriptional response, with 19% of unigenes in the microarray responding significantly to treatment. The number of up- and down-regulated unigenes was very similar.. The number of genes whose expression was regulated at 8 h was similar to the number of genes whose expression was regulated after 24 h of treatment. The up-regulated sequences were enriched for genes involved in innate immune response and in pathogen response such as antimicrobial peptides (AMPs) and repat genes. The down-regulated sequences were mainly unigenes with homology to genes involved in metabolism. Genes related to the mode of action of Bt Cry proteins were found, in general, to be slightly overexpressed. The present study is the first genome-wide analysis of the response of lepidopteran insects to Vip3Aa intoxication. An insight into the molecular mechanisms and components related to Vip intoxication will allow designing of more effective management strategies for pest control. Changes in gene expression levels caused by treatment with sublethal doses (causing 99% growth inhibition) of Vip3Aa were measured at 8 and 24 h after treatment by means of custom Spodoptera exigua microarray. Six to seven larvae were used for each time point and three independent experiments were performed at each time point.

Project description:Summary: Multi-toxins Bt-crops carrying insecticidal toxins with similar host spectrum and different mode of action e.g. Cry and Vip, are expected to improve resistance management in target pests. Control failure has been informed for Cry toxins but not for Vip3A, of which no mechanism of resistance has yet been identified. Here we applied HT-SuperSAGE to analyze the transcriptome profiling in the midgut tissue of a tobacco budworm Heliothis virescens (F.) strain laboratory-selected for Vip3A resistance. A total of 1324252 26-bp tags were sequenced representing 17751 unique transcripts (UniTags) from genetically similar Vip3A-resistant (Vip-Sel) strain and susceptible control (Vip-Unsel) strain. Differential expression was found significant (≥ 2.5-fold or ≤ 0.4) for 1845 unigenes that constitute 10.4% of the total number of UniTags, where 277 represented overexpressed (OE) and 1568 underexpressed (UE) genes in Vip-Sel compared to Vip-Unsel. BLASTN searches mapped 1141 of these UniTags to H. virescens EST sequences, of which, 816 (143 OE and 673 UE) were unambiguously annotated to proteins in NCBI non-redundant protein databases. Gene ontology revealed Vip3A adaptation induced major constitutive transcriptional differences in serine-proteases (SP)-mediated proteolysis, ribosome biogenesis and metabolic processes. Several unigenes homologous to a particular member of the REsponse to PAThogen (REPAT) family were found to be predominantly OE. Since UniTags related to SP and ribosomal proteins (RP) were the most represented in the libraries, they were further analyzed in details. Interestingly, UniTags related to the putative Vip3A-binding protein RpS2 were underexpressed, while, the tumorigenesis suppressor RpL37 accounted for the 35% of total overexpressed RP. A subset of unigenes was chosen to confirm the HT-SuperSAGE data by qRT-PCR. The present study is the first providing a lepidopteran gut transcriptome associated with Vip3A resistance and a foundation for future attempts to elucidate the resistance mechanism. Methods: Midgut transcriptional profiles of third-instar larvae from genetically similar Vip3A-resistant (Vip-Sel) and susceptible control (Vip-Unsel) strains were generated by HT-SuperSAGE. RNA pools of Vip-Sel and Vip-Unsel samples (five RNA preparations each) were prepared and used for the construction of SuperSAGE libraries HvR_GCCT and HvS_GCAC, respectively, according to the procedure described by [Matsumura et al., 2010]. Purified PCR products were mixed and applied to Illumina Genome Analyzer II sequencing with GEX (DpnII) primer in the sequencing reactions as recommended by the manufacturer. Sorting of sequence reads based on index sequences and the subsequent extraction of sequence tags from reads was conducted using a script written in Perl. Fold-change for each tag was calculated as in [Gilardoni et al., 2010]. qRT–PCR validation was performed using TaqMan and SYBR Green assays.