The cuticle proteome of a planktonic crustacean

IF 3.4 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Proteomics Pub Date : 2024-04-27 DOI:10.1002/pmic.202300292
Kathrin A. Otte, Maridel Fredericksen, Peter Fields, Thomas Fröhlich, Christian Laforsch, Dieter Ebert
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Abstract

The cuticles of arthropods provide an interface between the organism and its environment. Thus, the cuticle's structure influences how the organism responds to and interacts with its surroundings. Here, we used label-free quantification proteomics to provide a proteome of the moulted cuticle of the aquatic crustacean Daphnia magna, which has long been a prominent subject of studies on ecology, evolution, and developmental biology. We detected a total of 278 high-confidence proteins. Using protein sequence domain and functional enrichment analyses, we identified chitin-binding structural proteins and chitin-modifying enzymes as the most abundant protein groups in the cuticle proteome. Structural cuticular protein families showed a similar distribution to those found in other arthropods and indicated proteins responsible for the soft and flexible structure of the Daphnia cuticle. Finally, cuticle protein genes were also clustered as tandem gene arrays in the D. magna genome. The cuticle proteome presented here will be a valuable resource to the Daphnia research community, informing genome annotations and investigations on diverse topics such as the genetic basis of interactions with predators and parasites.

Abstract Image

浮游甲壳动物的角质层蛋白质组
节肢动物的角质层是生物体与其环境之间的界面。因此,角质层的结构影响着生物对周围环境的反应以及与周围环境的互动。在这里,我们利用无标记定量蛋白质组学提供了水生甲壳动物大型水蚤蜕皮后的角质层蛋白质组。我们共检测到 278 个高可信度蛋白质。通过蛋白质序列域和功能富集分析,我们发现几丁质结合结构蛋白和几丁质修饰酶是角质层蛋白质组中含量最高的蛋白质群。结构性角质层蛋白家族的分布情况与其他节肢动物相似,表明这些蛋白负责水蚤角质层柔软而灵活的结构。最后,角质层蛋白基因在大型蚤基因组中也以串联基因阵列的形式聚类。本文介绍的角质层蛋白质组将成为水蚤研究界的宝贵资源,为基因组注释以及与捕食者和寄生虫相互作用的遗传基础等不同主题的研究提供信息。
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来源期刊
Proteomics
Proteomics 生物-生化研究方法
CiteScore
6.30
自引率
5.90%
发文量
193
审稿时长
3 months
期刊介绍: PROTEOMICS is the premier international source for information on all aspects of applications and technologies, including software, in proteomics and other "omics". The journal includes but is not limited to proteomics, genomics, transcriptomics, metabolomics and lipidomics, and systems biology approaches. Papers describing novel applications of proteomics and integration of multi-omics data and approaches are especially welcome.
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