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Proteomic analysis by iTRAQ-MRM of soybean resistance to Lamprosema Indicate

Overview of attention for article published in BMC Genomics, June 2017
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Title
Proteomic analysis by iTRAQ-MRM of soybean resistance to Lamprosema Indicate
Published in
BMC Genomics, June 2017
DOI 10.1186/s12864-017-3825-0
Pubmed ID
Authors

Weiying Zeng, Zudong Sun, Zhaoyan Cai, Huaizhu Chen, Zhenguang Lai, Shouzhen Yang, Xiangmin Tang

Abstract

Lamprosema indicate is a major leaf feeding insect pest to soybean, which has caused serious yield losses in central and southern China. To explore the defense mechanisms of soybean resistance to Lamprosema indicate, a highly resistant line (Gantai-2-2) and a highly susceptible line (Wan 82-178) were exposed to Lamprosema indicate larval feedings for 0 h and 48 h, and the differential proteomic analyses of these two lines were carried out. The results showed that 31 differentially expressed proteins (DEPs) were identified in the Gantai-2-2 when comparing 48 h feeding with 0 h feeding, and 53 DEPs were identified in the Wan 82-178. 28 DEPs were identified when comparing Gantai-2-2 with Wan 82-178 at 0 h feeding. The bioinformatic analysis results showed that most of the DEPs were associated with ribosome, linoleic acid metabolism, flavonoid biosynthesis, phenylpropanoid biosynthesis, peroxisome, stilbenoid, diarylheptanoid and gingerol biosynthesis, glutathione metabolism, pant hormone signal transduction, and flavone and flavonol biosynthesis, as well as other resistance related metabolic pathways. The MRM analysis showed that the iTRAQ results were reliable. According to the analysis of the DEPs results, the soybean defended or resisted the Lamprosema indicate damage by the induction of a synthesis of anti-digestive proteins which inhibit the growth and development of insects, reactive oxygen species scavenging, signaling pathways, secondary metabolites synthesis, and so on.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 17%
Unspecified 5 14%
Researcher 4 11%
Student > Master 3 9%
Student > Doctoral Student 2 6%
Other 6 17%
Unknown 9 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 31%
Unspecified 5 14%
Biochemistry, Genetics and Molecular Biology 5 14%
Arts and Humanities 1 3%
Immunology and Microbiology 1 3%
Other 1 3%
Unknown 11 31%
Attention Score in Context

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 24 January 2018.
All research outputs
#18,554,389
of 22,979,862 outputs
Outputs from BMC Genomics
#8,220
of 10,687 outputs
Outputs of similar age
#241,926
of 317,259 outputs
Outputs of similar age from BMC Genomics
#175
of 218 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 218 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.