Evidence map›Paper›PMID 24533099›Full record

ArticlePloS one2014

Transcriptome analysis of fat bodies from two brown planthopper (Nilaparvata lugens) populations with different virulence levels in rice.

Haixin Yu, Rui Ji, Wenfeng Ye, Hongdan Chen, Wenxiang Lai, Qiang Fu, Yonggen Lou

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.3field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

17 citing papers in PubMed, 29 citations in OpenAlex.

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  11. International journal of molecular sciences · 2019
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  15. Transcriptome Analysis of Green Peach Aphid (Frontiers in plant science · 2016
    Article
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  17. Article
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

7 authors at 3 institutions in 1 country.

Haixin YuState Key Laboratory of Rice Biology, Institute of Insect Sciences, Zhejiang University, Hangzhou, China.
Rui JiState Key Laboratory of Rice Biology, Institute of Insect Sciences, Zhejiang University, Hangzhou, China.
Wenfeng YeState Key Laboratory of Rice Biology, Institute of Insect Sciences, Zhejiang University, Hangzhou, China.
Hongdan ChenState Key Laboratory of Rice Biology, Institute of Insect Sciences, Zhejiang University, Hangzhou, China.
Wenxiang LaiResearch and Development Center of Rice Production Technology, China National Rice Research Institute, Hangzhou, China.
Qiang FuResearch and Development Center of Rice Production Technology, China National Rice Research Institute, Hangzhou, China.
Yonggen LouState Key Laboratory of Rice Biology, Institute of Insect Sciences, Zhejiang University, Hangzhou, China.
China National Rice Research Institute · CNZhejiang University · CNState Key Laboratory of Rice Biology

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe brown planthopper (BPH), Nilaparvata lugens (Stål), one of the most serious rice insect pests in Asia, can quickly overcome rice resistance by evolving new virulent populations. The insect fat body plays essential roles in the life cycles of insects and in plant-insect interactions. However, whether differences in fat body transcriptomes exist between insect populations with different virulence levels and whether the transcriptomic differences are related to insect virulence remain largely unknown. METHODOLOGY/PRINCIPAL

findingsIn this study, we performed transcriptome-wide analyses on the fat bodies of two BPH populations with different virulence levels in rice. The populations were derived from rice variety TN1 (TN1 population) and Mudgo (M population). In total, 33,776 and 32,332 unigenes from the fat bodies of TN1 and M populations, respectively, were generated using Illumina technology. Gene ontology annotations and Kyoto Encyclopedia of Genes and Genomes (KEGG) orthology classifications indicated that genes related to metabolism and immunity were significantly active in the fat bodies. In addition, a total of 339 unigenes showed homology to genes of yeast-like symbionts (YLSs) from 12 genera and endosymbiotic bacteria Wolbachia. A comparative analysis of the two transcriptomes generated 7,860 differentially expressed genes. GO annotations and enrichment analysis of KEGG pathways indicated these differentially expressed transcripts might be involved in metabolism and immunity. Finally, 105 differentially expressed genes from YLSs and Wolbachia were identified, genes which might be associated with the formation of different virulent populations. CONCLUSIONS/SIGNIFICANCE: This study was the first to compare the fat-body transcriptomes of two BPH populations having different virulence traits and to find genes that may be related to this difference. Our findings provide a molecular resource for future investigations of fat bodies and will be useful in examining the interactions between the fat body and virulence variation in the BPH.

Indexed as

TranscriptomeAnimalsCarbohydratesDNA, ComplementaryFat BodyFemaleGene Expression ProfilingGene LibraryGenomeHemipteraLipid MetabolismOryzaRNA, MessengerSignal TransductionSpecies SpecificityVirulenceCarbohydratesDNA, ComplementaryRNA, MessengerXenobiotics

Identifiers

PMID24533099
PMCPMC3922922
OpenAlexW2039657997

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.