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Standard operating procedure for calculating genome-to-genome distances based on high-scoring segment pairs
Author(s) -
Alexander F. Auch,
HansPeter Klenk,
Markus Göker
Publication year - 2010
Publication title -
standards in genomic sciences
Language(s) - English
Resource type - Journals
ISSN - 1944-3277
DOI - 10.4056/sigs.541628
Subject(s) - genome , computer science , biology , computational biology , data mining , bacterial genome size , prokaryote , standardization , software , genetics , gene , programming language , operating system
DNA-DNA hybridization (DDH) is a widely applied wet-lab technique to obtain an estimate of the overall similarity between the genomes of two organisms. To base the species concept for prokaryotes ultimately on DDH was chosen by microbiologists as a pragmatic approach for deciding about the recognition of novel species, but also allowed a relatively high degree of standardization compared to other areas of taxonomy. However, DDH is tedious and error-prone and first and foremost cannot be used to incrementally establish a comparative database. Recent studies have shown that in-silico methods for the comparison of genome sequences can be used to replace DDH. Considering the ongoing rapid technological progress of sequencing methods, genome-based prokaryote taxonomy is coming into reach. However, calculating distances between genomes is dependent on multiple choices for software and program settings. We here provide an overview over the modifications that can be applied to distance methods based in high-scoring segment pairs (HSPs) or maximally unique matches (MUMs) and that need to be documented. General recommendations on determining HSPs using BLAST or other algorithms are also provided. As a reference implementation, we introduce the GGDC web server (http://ggdc.gbdp.org).

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