Prospecting genomes for lasso peptides

被引：71

作者：

Maksimov, Mikhail O. ^{[1
]}

Link, A. James ^{[1
,2
]}

机构：

[1] Princeton Univ, Dept Chem & Biol Engn, Hoyt Lab 207, Princeton, NJ 08544 USA

[2] Princeton Univ, Dept Mol Biol, Princeton, NJ 08544 USA

来源：

JOURNAL OF INDUSTRIAL MICROBIOLOGY & BIOTECHNOLOGY | 2014年 / 41卷 / 02期

关键词：

Lasso peptides; RiPPs; Genome mining; NATRIURETIC-FACTOR ANF; MICROCIN J25; PROLYL OLIGOPEPTIDASE; SEQUENCE-ANALYSIS; MINING APPROACH; LEADER PEPTIDE; ANTAGONIST; BIOSYNTHESIS; DETERMINANTS; FERMENTATION;

D O I：

10.1007/s10295-013-1357-4

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

Genome mining has unlocked a veritable treasure chest of natural compounds. However, each family of natural products requires a genome-mining approach tailored to its unique features to be successful. Lasso peptides are ribosomally synthesized and posttranslationally modified products with a unique three-dimensional structure. Advances in the understanding of these molecules have informed the design of strategies to identify new members of the class in sequenced genomes. This review presents the bioinformatic methods used to discover novel lasso peptides and describes how such analyses have afforded insights into the biosynthesis and evolution of this peptide class.

引用

页码：333 / 344

页数：12

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