Evidence map›Paper›PMID 23052419›Full record

ArticleCurrent genetics2012

Large scale expressed sequence tag (EST) analysis of Metarhizium acridum infecting Locusta migratoria reveals multiple strategies for fungal adaptation to the host cuticle.

Min He, Jun Hu, Yuxian Xia

Abstract read
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Article in Current genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Min HeKey Laboratory of Gene Function and Regulation Technologies under Chongqing Municipal Education Commission, Genetic Engineering Research Center, Chongqing Engineering Research Center for Fungal Insecticide, School of Life Science, Chongqing University, People's Republic of China.
Jun Hu
Yuxian Xia
Chongqing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To infect its insect host, the entomopathogenic fungus Metarhizium acridum has to breach the physical barrier of the host cuticle to gain entry into insect tissue. To identify virulence-associated genes to improve the biocontrol efficacy of M. acridum, it is necessary to understand the genes expressed by M. acridum during its infection of the insect host cuticle. In this study, we performed a large scale gene expression analysis of M. acridum during locust cuticle infection. We report the identification of 4,739 unique expressed sequence tags (ESTs), of which 80 % have not been previously identified. Analysis of the ESTs provided evidence that M. acridum may employ several different adaptation strategies to infect locust cuticle, such as metabolism reprogramming, protein secretion, endocytosis, cell-cycle-regulated morphogenesis and effector-dependent suppression of host immune responses. By searching against the pathogen-host interaction database, several genes associated with different adaptation processes were found to potentially encode important virulence genes. Gene expression pattern analysis by semi-quantitative RT-PCR revealed that M. acridum differentially regulates subsets of genes in response to different infection niches between the host cuticle and hemolymph. The present study provides novel candidate genes to investigate the biology of insect infection by M. acridum.

Indexed as

Adaptation, BiologicalExpressed Sequence TagsGene Expression Regulation, FungalAnimalsBiological TransportDatabases, GeneticEndocytosisExocytosisGene Expression ProfilingGene LibraryGenes, FungalHemolymphHost-Pathogen InteractionsLocusta migratoriaMetarhiziumReverse Transcriptase Polymerase Chain Reaction

Identifiers

PMID23052419
OpenAlexW2071989686

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.