Bioinformatic, genomic and evolutionary analysis of genes: A case study in dipteran CSPs

Methods Enzymol. 2020:642:35-79. doi: 10.1016/bs.mie.2020.05.012. Epub 2020 Jun 15.

Abstract

Understanding physiological tasks may start by a good understanding of evolutionary traits in a given protein gene family. The successful completion of various genome projects is a key step forward for comparative analysis of similar and/or orthologous genes between species, measuring genetic relatednesses, studying evolutionary changes among different behaviors, helping to identify specifically conserved genes or genes that are variable enough to determine a new strain or organism. How evolutionary data can improve the understanding of a protein gene family is exploited here in the case of the insect Chemosensory Proteins (CSPs) as a guidance model. In this chapter, Diptera are presented not only as a huge diversity of appearances (phenotypes), behaviors and lifestyles, but also as major differences that are gene copy numbers, gene family members, polymorphisms and evolutionary rate variations, without any a priori assumption about the origin and function of the sampled gene family.

Keywords: Duplication; EST expression; Evolution; Genome; Likelihood; Organism; Parsimony; Phylogeny; Species; Trans-retroposition.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Computational Biology*
  • Evolution, Molecular
  • Genome*
  • Genomics
  • Insect Proteins / genetics
  • Phylogeny

Substances

  • Insect Proteins