0 249

Cited 0 times in

A large-scale metagenomic study for enzyme profiles using the focused identification of the NGS-based definitive enzyme research (FINDER) strategy

Authors
 Jae-Yoon Sung  ;  Yong-Jik Lee  ;  Yong-Joon Cho  ;  Myeong-Na Shin  ;  Sang-Jae Lee  ;  Han-Seung Lee  ;  Hong Koh  ;  Jin-Woo Bae  ;  Jae-Ho Shin  ;  Hyun Jung Kim  ;  Dong-Woo Lee 
Citation
 BIOTECHNOLOGY AND BIOENGINEERING, Vol.118(11) : 4360-4374, 2021-11 
Journal Title
BIOTECHNOLOGY AND BIOENGINEERING
ISSN
 0006-3592 
Issue Date
2021-11
Keywords
FINDER ; enzyme profiling ; metabolic activity ; metagenome ; next-generation sequencing
Abstract
Excavating the molecular details of many diverse enzymes from metagenomes remains challenging in agriculture, food, health, and environmental fields. We present a versatile method that accelerates metabolic enzyme discovery for highly selective gene capture in metagenomes using next-generation sequencing. Culture-independent enzyme mining of environmental DNA is based on a set of short identifying degenerate sequences specific for a wide range of enzyme superfamilies, followed by multiplexed DNA barcode sequencing. A strategy of 'focused identification of next-generation sequencing-based definitive enzyme research' enabled us to generate targeted enzyme datasets from metagenomes, resulting in minimal hands-on obtention of high-throughput biological diversity and potential function profiles, without being time-consuming. This method also provided a targeted inventory of predicted proteins and molecular features of metabolic activities from several metagenomic samples. We suggest that the efficiency and sensitivity of this method will accelerate the decryption of microbial diversity and the signature of proteins and their metabolism from environmental samples.
Full Text
https://onlinelibrary.wiley.com/doi/10.1002/bit.27904
DOI
10.1002/bit.27904
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Pediatrics (소아과학교실) > 1. Journal Papers
Yonsei Authors
Koh, Hong(고홍) ORCID logo https://orcid.org/0000-0002-3660-7483
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/186763
사서에게 알리기
  feedback

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse

Links