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Comparative analysis of pre- and post-parasitic transcriptomes and mining pioneer effectors of Heterodera avenae

Overview of attention for article published in Cell & Bioscience, February 2017
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Title
Comparative analysis of pre- and post-parasitic transcriptomes and mining pioneer effectors of Heterodera avenae
Published in
Cell & Bioscience, February 2017
DOI 10.1186/s13578-017-0138-6
Pubmed ID
Authors

Dan Yang, Changlong Chen, Qian Liu, Heng Jian

Abstract

The cereal cyst nematode (CCN, Heterodera avenae) is a devastating pathogen of wheat and barley crops in many countries. We aimed to prioritize genetic and molecular targets for H. avenae control via the powerful and integrative bioinformatics platform. Here, we sequenced mRNA isolated from Chinese H. avenae at pre-parasitic (consisting of egg, J1 and hatched-J2) stages and post-parasitic (consisting of parasitic-J2, J3, J4 and adults) stages. Total 1,066,719 reads of whole life cycle transcriptomes were assembled into 10,811 contigs with N50 length of 1754 bp and 71,401 singletons. Comparative analyses of orthologous among H. avenae and 7 other nematodes with various life-styles revealed the significance and peculiarity of neurological system for sedentary phytonematode. KEGG pathway enrichment demonstrated active crosstalk events of nervous system at pre-parasitic stages, and 6 FMRFamide-like neuropeptides were verified to display an expression peak at the hatched-J2 stage in H. avenae. Furthermore, multiple approaches were undertaken to mine putative effectors and parasitism-specific genes. Notably, H. avenae might represent the first phytonematode reported to possess the pioneer effectors with RxLR motif and potential effectors with homologies to Ant-5/Ant-34. Our work provides valuable resources for in-depth understanding the parasitism and pathogenicity of H. avenae, as well as developing new targets-oriented strategies on effective managements.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 25%
Student > Ph. D. Student 3 15%
Student > Master 3 15%
Other 2 10%
Professor 2 10%
Other 3 15%
Unknown 2 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 45%
Biochemistry, Genetics and Molecular Biology 5 25%
Business, Management and Accounting 1 5%
Environmental Science 1 5%
Chemistry 1 5%
Other 0 0%
Unknown 3 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 March 2017.
All research outputs
#7,981,471
of 9,207,038 outputs
Outputs from Cell & Bioscience
#175
of 210 outputs
Outputs of similar age
#215,749
of 255,084 outputs
Outputs of similar age from Cell & Bioscience
#3
of 3 outputs
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So far Altmetric has tracked 210 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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