Next generation multilocus sequence typing (NGMLST) and the analytical software program MLSTEZ enable efficient, cost-effective, high-throughput, multilocus sequencing typing.

Journal Article

Multilocus sequence typing (MLST) has become the preferred method for genotyping many biological species, and it is especially useful for analyzing haploid eukaryotes. MLST is rigorous, reproducible, and informative, and MLST genotyping has been shown to identify major phylogenetic clades, molecular groups, or subpopulations of a species, as well as individual strains or clones. MLST molecular types often correlate with important phenotypes. Conventional MLST involves the extraction of genomic DNA and the amplification by PCR of several conserved, unlinked gene sequences from a sample of isolates of the taxon under investigation. In some cases, as few as three loci are sufficient to yield definitive results. The amplicons are sequenced, aligned, and compared by phylogenetic methods to distinguish statistically significant differences among individuals and clades. Although MLST is simpler, faster, and less expensive than whole genome sequencing, it is more costly and time-consuming than less reliable genotyping methods (e.g. amplified fragment length polymorphisms). Here, we describe a new MLST method that uses next-generation sequencing, a multiplexing protocol, and appropriate analytical software to provide accurate, rapid, and economical MLST genotyping of 96 or more isolates in single assay. We demonstrate this methodology by genotyping isolates of the well-characterized, human pathogenic yeast Cryptococcus neoformans.

Full Text

Duke Authors

Cited Authors

  • Chen, Y; Frazzitta, AE; Litvintseva, AP; Fang, C; Mitchell, TG; Springer, DJ; Ding, Y; Yuan, G; Perfect, JR

Published Date

  • February 2015

Published In

Volume / Issue

  • 75 /

Start / End Page

  • 64 - 71

PubMed ID

  • 25624069

Electronic International Standard Serial Number (EISSN)

  • 1096-0937

International Standard Serial Number (ISSN)

  • 1087-1845

Digital Object Identifier (DOI)

  • 10.1016/j.fgb.2015.01.005

Language

  • eng