Expanding the biotechnology potential of lactobacilli through comparative genomics of 213 strains and associated genera.
Expanding the biotechnology potential of lactobacilli through comparative genomics of 213 strains and associated genera.
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通过 213 种菌株和相关属的比较基因组学扩大乳酸杆菌的生物技术潜力
DOI：
10.1038/ncomms9322
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发表时间：
2015-09-29
影响因子：
16.6
通讯作者：
O'Toole PW
中科院分区：
文献类型：
--
作者：
Sun Z;Harris HM;McCann A;Guo C;Argimón S;Zhang W;Yang X;Jeffery IB;Cooney JC;Kagawa TF;Liu W;Song Y;Salvetti E;Wrobel A;Rasinkangas P;Parkhill J;Rea MC;O'Sullivan O;Ritari J;Douillard FP;Paul Ross R;Yang R;Briner AE;Felis GE;de Vos WM;Barrangou R;Klaenhammer TR;Caufield PW;Cui Y;Zhang H;O'Toole PW
乳酸杆菌是一组不同的物种，占据与人类，动物，植物和食物相关的各种营养丰富的小生境。它们被广泛用于生物技术和食品保存，并正在探索作为治疗。乳酸菌的代谢多样性、不明确的物种身份以及它们与其他商业上重要的乳酸菌之间的不确定关系使开发乳酸菌变得复杂。乳酸杆菌催化生物转化的能力是一种尚未开发的生物技术资源。本文报道了213株乳酸杆菌及其相关属的基因组序列，以及它们编码的修饰碳水化合物和蛋白质的遗传目录。此外，我们描述了乳酸杆菌中广泛而多样的新型CRISPR-Cas免疫系统的存在，这些免疫系统可用于基因组编辑。我们合理化的宿主相互作用因子和细菌素，影响他们的自然和工业环境，以及在技术过程中承受压力的机制的基因组分布。我们提出了一个强大的基因组框架，现有的物种和新物种的分类。
Lactobacilli are a diverse group of species that occupy diverse nutrient-rich niches associated with humans, animals, plants and food. They are used widely in biotechnology and food preservation, and are being explored as therapeutics. Exploiting lactobacilli has been complicated by metabolic diversity, unclear species identity and uncertain relationships between them and other commercially important lactic acid bacteria. The capacity for biotransformations catalysed by lactobacilli is an untapped biotechnology resource. Here we report the genome sequences of 213Lactobacillusstrains and associated genera, and their encoded genetic catalogue for modifying carbohydrates and proteins. In addition, we describe broad and diverse presence of novel CRISPR-Cas immune systems in lactobacilli that may be exploited for genome editing. We rationalize the phylogenomic distribution of host interaction factors and bacteriocins that affect their natural and industrial environments, and mechanisms to withstand stress during technological processes. We present a robust phylogenomic framework of existing species and for classifying new species.