Label-free quantitative proteomics of Sorghum bicolor reveals the proteins strengthening plant defense against insect pest Chilo partellus.

IF 2.1 3区生物学 Q3 BIOCHEMICAL RESEARCH METHODS Proteome Science Pub Date : 2021-04-02 DOI:10.1186/s12953-021-00173-z

Vaijayanti A Tamhane, Surhud S Sant, Abhilash R Jadhav, Abdul R War, Hari C Sharma, Abdul Jaleel, Akanksha S Kashikar

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引用次数: 5

Abstract

Background: Spotted stem borer- Chilo partellus - a Lepidopteran insect pest of Sorghum bicolor is responsible for major economic losses. It is an oligophagous pest, which bores through the plant stem, causing 'deadheart' and hampering the development of the main cob. We applied a label-free quantitative proteomics approach on three genotypes of S. bicolor with differential resistance/ susceptibility to insect pests, intending to identify the S. bicolor's systemic protein complement contributing to C. partellus tolerance.

Methods: The proteomes of S. bicolor with variable resistance to insect pests, ICSV700, IS2205 (resistant) and Swarna (susceptible) were investigated and compared using label-free quantitative proteomics to identify putative leaf proteins contributing to resistance to C. partellus.

Results: The multivariate analysis on a total of 967 proteins led to the identification of proteins correlating with insect resistance/susceptibility of S. bicolor. Upon C. partellus infestation S. bicolor responded by suppression of protein and amino acid biosynthesis, and induction of proteins involved in maintaining photosynthesis and responding to stresses. The gene ontology analysis revealed that C. partellus-responsive proteins in resistant S. bicolor genotypes were mainly involved in stress and defense, small molecule biosynthesis, amino acid metabolism, catalytic and translation regulation activities. At steady-state, the resistant S. bicolor genotypes displayed at least two-fold higher numbers of unique proteins than the susceptible genotype Swarna, mostly involved in catalytic activities. Gene expression analysis of selected candidates was performed on S. bicolor by artificial induction to mimic C. partellus infestation.

Conclusion: The collection of identified proteins differentially expressed in resistant S. bicolor, are interesting candidates for further elucidation of their role in defense against insect pests.

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高粱双色的无标记定量蛋白质组学揭示了加强植物对病虫害赤叶螟防御的蛋白质。

背景:高粱鳞翅目害虫斑茎螟(Chilo partellus)是造成高粱重大经济损失的主要昆虫。这是一种寡食害虫，它穿过植物茎，造成“死心”并阻碍主穗轴的发育。本研究采用无标记定量蛋白质组学方法，对三种不同抗性/易感基因型的双色葡萄球菌进行了分析，目的是鉴定双色葡萄球菌对部分葡萄球菌抗性的系统蛋白补体。方法:采用无标记定量蛋白质组学方法，对具有不同抗虫性的双色葡萄、ICSV700、IS2205和Swarna进行蛋白质组学研究，并对其进行比较，以确定叶片中可能与抗小叶蛾有关的蛋白质。结果:对967个蛋白进行多因素分析，鉴定出与双色葡萄抗/感虫相关的蛋白。在小叶草侵染后，双色葡萄通过抑制蛋白质和氨基酸的生物合成以及诱导参与维持光合作用和响应胁迫的蛋白质来应对。基因本体论分析表明，抗性双色葡萄球菌基因型中部分草体响应蛋白主要参与胁迫防御、小分子生物合成、氨基酸代谢、催化和翻译调控活性。在稳定状态下，抗性双色葡萄球菌基因型的独特蛋白数量至少是易感基因型Swarna的两倍，主要参与催化活性。采用人工诱导的方法，对选择的候选菌株进行基因表达分析。结论:已鉴定的双色葡萄中差异表达的蛋白为进一步阐明其在害虫防御中的作用提供了有益的候选蛋白。

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来源期刊

Proteome Science 生物-生化研究方法

CiteScore

2.90

自引率

0.00%

发文量

审稿时长

4.5 months

期刊介绍： Proteome Science is an open access journal publishing research in the area of systems studies. Proteome Science considers manuscripts based on all aspects of functional and structural proteomics, genomics, metabolomics, systems analysis and metabiome analysis. It encourages the submissions of studies that use large-scale or systems analysis of biomolecules in a cellular, organismal and/or environmental context. Studies that describe novel biological or clinical insights as well as methods-focused studies that describe novel methods for the large-scale study of any and all biomolecules in cells and tissues, such as mass spectrometry, protein and nucleic acid microarrays, genomics, next-generation sequencing and computational algorithms and methods are all within the scope of Proteome Science, as are electron topography, structural methods, proteogenomics, chemical proteomics, stem cell proteomics, organelle proteomics, plant and microbial proteomics. In spite of its name, Proteome Science considers all aspects of large-scale and systems studies because ultimately any mechanism that results in genomic and metabolomic changes will affect or be affected by the proteome. To reflect this intrinsic relationship of biological systems, Proteome Science will consider all such articles.