Identification of keratinases from Fervidobacterium islandicum AW-1 using dynamic gene expression profiling

Eunju Kang, Hyeon Su Jin, Jae Won La, Jae Yoon Sung, Soo Young Park, Won Chan Kim, Dong Woo Lee

Research output: Contribution to journalArticle

Abstract

Keratin degradation is of great interest for converting agro-industrial waste into bioactive peptides and is directly relevant for understanding the pathogenesis of superficial infections caused by dermatophytes. However, the mechanism of this process remains unclear. Here, we obtained the complete genome sequence of a feather-degrading, extremely thermophilic bacterium, Fervidobacterium islandicum AW-1 and performed bioinformatics-based functional annotation. Reverse transcription PCR revealed that 57 putative protease-encoding genes were differentially expressed in substrate-dependent manners. Consequently, 16 candidate genes were highly expressed under starvation conditions, when keratin degradation begun. Subsequently, the dynamic expression profiles of these 16 selected genes in response to feathers, as determined via quantitative real-time PCR, suggested that they included four metalloproteases and two peptidases including an ATP-dependent serine protease, all of which might act as key players in feather decomposition. Furthermore, in vitro keratinolytic assays supported the notion that recombinant enzymes enhanced the decomposition of feathers in the presence of cell extracts. Therefore, our genome-based systematic and dynamic expression profiling demonstrated that these identified metalloproteases together with two additional peptidases might be primarily associated with the decomposition of native feathers, suggesting that keratin degradation can be achieved via non-canonical catalysis of several membrane-associated metalloproteases in cooperation with cytosolic proteases.

Original languageEnglish
JournalMicrobial Biotechnology
DOIs
Publication statusAccepted/In press - 2019 Jan 1

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Feathers
Gene Expression Profiling
Gene expression
Metalloproteases
Peptide Hydrolases
Keratin
Keratins
Genes
Decomposition
Degradation
Industrial Waste
ATP-Dependent Proteases
Gene encoding
Genome
Serine Proteases
Transcription
Bioinformatics
Arthrodermataceae
Catalysis
Adenosinetriphosphate

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Bioengineering
  • Biochemistry
  • Applied Microbiology and Biotechnology

Cite this

Kang, Eunju ; Jin, Hyeon Su ; La, Jae Won ; Sung, Jae Yoon ; Park, Soo Young ; Kim, Won Chan ; Lee, Dong Woo. / Identification of keratinases from Fervidobacterium islandicum AW-1 using dynamic gene expression profiling. In: Microbial Biotechnology. 2019.
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Identification of keratinases from Fervidobacterium islandicum AW-1 using dynamic gene expression profiling. / Kang, Eunju; Jin, Hyeon Su; La, Jae Won; Sung, Jae Yoon; Park, Soo Young; Kim, Won Chan; Lee, Dong Woo.

In: Microbial Biotechnology, 01.01.2019.

Research output: Contribution to journalArticle

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