Evidence map›Paper›PMID 22195006›Full record

ArticlePloS one2011

Transcriptome analysis of the oriental fruit fly (Bactrocera dorsalis).

Guang-Mao Shen, Wei Dou, Jin-Zhi Niu, Hong-Bo Jiang, Wen-Jia Yang, Fu-Xian Jia, Fei Hu, Lin Cong, Jin-Jun Wang

Abstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

71 citing papers in PubMed.

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  14. Characterization ofInsects · 2019
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  19. Gene expression inPeerJ · 2019
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  20. Article

11 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Guang-Mao ShenKey Laboratory of Entomology and Pest Control Engineering, College of Plant Protection, Southwest University, Chongqing, People's Republic of China.
Wei Dou
Jin-Zhi Niu
Hong-Bo Jiang
Wen-Jia Yang
Fu-Xian Jia
Fei Hu
Lin Cong
Jin-Jun Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe oriental fruit fly, Bactrocera dorsalis (Hendel), is one of the most economically important pests in the world, causing serious damage to fruit production. However, lack of genetic information on this organism is an obstacle to understanding the mechanisms behind its development and its ability to resist insecticides. Analysis of the B. dorsalis transcriptome and its expression profile data is essential to extending the genetic information resources on this species, providing a shortcut that will support studies on B. dorsalis. METHODOLOGY/PRINCIPAL

findingsWe performed de novo assembly of a transcriptome using short read sequencing technology (Illumina). The results generated 484,628 contigs, 70,640 scaffolds, and 49,804 unigenes. Of those unigenes, 27,455 (55.13%) matched known proteins in the NCBI database, as determined by BLAST search. Clusters of orthologous groups (COG), gene orthology (GO), and the Kyoto Encyclopedia of Genes and Genomes (KEGG) annotations were performed to better understand the functions of these unigenes. Genes related to insecticide resistance were analyzed in additional detail. Digital gene expression (DGE) libraries showed differences in gene expression profiles at different developmental stages (eggs, third-instar larvae, pupae, and adults). To confirm the DGE results, the expression profiles of six randomly selected genes were analyzed. CONCLUSION/SIGNIFICANCE: This transcriptome greatly improves our genetic understanding of B. dorsalis and makes a huge number of gene sequences available for further study, including both genes of known importance and genes of unknown function. The DGE data provide comprehensive insight into gene expression profiles at different developmental stages. This facilitates the study of the role of each gene in the developmental process and in insecticide resistance.

Indexed as

AnimalsCluster AnalysisGene Expression ProfilingGene Expression Regulation, DevelopmentalInactivation, MetabolicInsecticidesInsect ProteinsMetabolic Networks and PathwaysMolecular Sequence AnnotationPhylogenyReproducibility of ResultsReverse Transcriptase Polymerase Chain ReactionRNA, MessengerSequence AlignmentSequence Analysis, DNASpecies SpecificityInsecticidesInsect ProteinsRNA, Messenger

Identifiers

PMID22195006
PMCPMC3240649

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.