کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10971618 | 1106483 | 2013 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Expression of heat shock protein 90 genes during early development and infection in Megalobrama amblycephala and evidence for adaptive evolution in teleost
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
زیست شناسی تکاملی
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چکیده انگلیسی
Heat shock protein 90 (HSP90) are highly conserved molecular chaperones, playing a pivotal role in cellular progress. In this study, we reported the characterization of the Hsp90α and Hsp90β genes in Megalobrama amblycephala, the expression profiling during early development, in various healthy tissues and in response to bacterial infection, and the assessment of their adaptive evolution. The Hsp90α cDNA contains an open reading frame (ORF) of 2193 bp encoding 731 amino acids and the Hsp90β cDNA has an ORF of 2184 bp encoding 728 amino acids. Using quantitative real-time PCR (qRT-PCR) analysis, the mRNA of both Hsp90α and Hsp90β reached the highest level at 15th day post-hatch. Using qRT-PCR and Western blot, both Hsp90α and Hsp90β were widely expressed in various healthy tissues and significantly higher in blood than in other tissues. Expression of both Hsp90α and Hsp90β were up-regulated upon bacterial infection and reached the peak level at 4 h post infection. Site model analysis indicated that one positive selection site (T717) in Hsp90α was found, while no positive selection site was observed in Hsp90β. Branch-site model test showed that there were adaptively evolutionary evidences in the branches of Salmoniformes and Gasterosteiformes for Hsp90α gene, and in the branch of Salmoniformes for Hsp90β gene.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Developmental & Comparative Immunology - Volume 41, Issue 4, December 2013, Pages 683-693
Journal: Developmental & Comparative Immunology - Volume 41, Issue 4, December 2013, Pages 683-693
نویسندگان
Zhujin Ding, Junjie Wu, Lina Su, Fengjuan Zhou, Xiaoheng Zhao, Wei Deng, Jie Zhang, Shikai Liu, Weimin Wang, Hong Liu,