Department of Systems Biology, Columbia University, New York, New York, USA.
J Bacteriol. 2014 Feb;196(4):825-39. doi: 10.1128/JB.01039-13. Epub 2013 Dec 6.
Divergent phenotypes for distantly related strains of bacteria, such as differing antibiotic resistances or organic solvent tolerances, are of keen interest both from an evolutionary perspective and for the engineering of novel microbial organisms and consortia in synthetic biology applications. A prerequisite for any practical application of this phenotypic diversity is knowledge of the genetic determinants for each trait of interest. Sequence divergence between strains is often so extensive as to make brute-force approaches to identifying the loci contributing to a given trait impractical. Here we describe a global linkage analysis approach, GLINT, for rapid discovery of the causal genetic variants underlying phenotypic divergence between distantly related strains of Escherichia coli. This general strategy will also be usable, with minor modifications, for revealing genotype-phenotype associations between naturally occurring strains of other bacterial species.
不同来源的细菌菌株之间存在表型差异，例如抗生素耐药性或有机溶剂耐受性的不同，这从进化角度和合成生物学应用中新型微生物的工程设计角度来看都具有很大的研究价值。这种表型多样性的任何实际应用都需要了解每个感兴趣性状的遗传决定因素。菌株之间的序列差异通常非常广泛，以至于采用蛮力方法来确定导致特定性状的基因座是不切实际的。在这里，我们描述了一种用于快速发现大肠杆菌不同来源菌株之间表型差异的因果遗传变异的全局连锁分析方法 GLINT。该策略经过少量修改，也可用于揭示其他细菌自然菌株之间的基因型-表型关联。
