Literature DB >> 25343867

Defining orthologs and pangenome size metrics.

Emanuele Bosi1, Renato Fani, Marco Fondi.   

Abstract

Since the advent of ultra-massive sequencing techniques, the consequent drop-off in both price and time required made feasible the sequencing of increasingly more genomes from microbes belonging to the same taxonomic unit. Eventually, this led to the concept of pangenome, that is, the entire set of genes present in a group of representatives of the same genus/species, which, in turn, can be divided into core genome, defined as the set of those genes present in all the genomes under study, and a dispensable genome, the set of genes possessed only by one or a subset of organism. When analyzing a pangenome, an interesting point is to measure its size, thus estimating the gene repertoire of a given taxonomic group. This is usually performed counting the novel genes added to the overall pangenome when new genomes are sequenced and annotated. A pangenome can be also classified as open or close: in an open pangenome its size increases indefinitely when adding new genomes; thus sequencing additional strains will likely yield novel genes. Conversely, in a close pangenome, adding new genomes will not lead to the discovery of new coding capabilities. A central point in pangenomics is the definition of homology relationships between genes belonging to different genomes. This may turn into the search of those genes with similar sequences between different organisms (and including both paralogous and orthologous genes). In this chapter, methods for finding groups of orthologs between genomes and for estimating the pangenome size are discussed. Also, working codes to address these tasks are provided.

Mesh:

Year:  2015        PMID: 25343867     DOI: 10.1007/978-1-4939-1720-4_13

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

Review 1.  Pangenomics in Microbial and Crop Research: Progress, Applications, and Perspectives.

Authors:  Sumit Kumar Aggarwal; Alla Singh; Mukesh Choudhary; Aundy Kumar; Sujay Rakshit; Pardeep Kumar; Abhishek Bohra; Rajeev K Varshney
Journal:  Genes (Basel)       Date:  2022-03-27       Impact factor: 4.141

Review 2.  The Turbulent Network Dynamics of Microbial Evolution and the Statistical Tree of Life.

Authors:  Eugene V Koonin
Journal:  J Mol Evol       Date:  2015-04-18       Impact factor: 2.395

3.  Open pangenome of Lactococcus lactis generated by a combination of metagenome-assembled genomes and isolate genomes.

Authors:  Yiting Zhai; Chaochun Wei
Journal:  Front Microbiol       Date:  2022-08-23       Impact factor: 6.064

  3 in total

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