title: Defining orthologs and pangenome size metrics.
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.
authors.affiliation: Department of Biology, University of Florence, via Madonna del Piano 6, Sesto Fiorentino, Florence, 50019, Italy, emanuele.bosi@unifi.it.
authors.forename: Emanuele
authors.initials: E
authors.lastname: Bosi
authors.forename: Renato
authors.initials: R
authors.lastname: Fani
authors.forename: Marco
authors.initials: M
authors.lastname: Fondi
mesh_terms: D001185:Artificial Intelligence; D001419:Bacteria / Q000145:classification / Q000235:genetics*; D001483:Base Sequence; D001330:Electronic Data Processing; D059646:Genome Size; D016680:Genome, Bacterial; D059014:High-Throughput Nucleotide Sequencing; D056186:Metagenomics / Q000295:instrumentation / Q000379:methods*; D058977:Molecular Sequence Annotation; D008969:Molecular Sequence Data; D010802:Phylogeny; D016415:Sequence Alignment; D017422:Sequence Analysis, DNA / Q000295:instrumentation* / Q000379:methods; D012689:Sequence Homology, Nucleic Acid; D012984:Software