FB2026_03 , released September 17, 2026
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Citation
Picimbon, J.F. (2020). Bioinformatic, genomic and evolutionary analysis of genes: A case study in dipteran CSPs.  Methods Enzymol. 642(): 35--79.
FlyBase ID
FBrf0265052
Publication Type
Research paper
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.
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    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Compendium
    Abbreviation
    Methods Enzymol.
    Title
    Methods in Enzymology
    Publication Year
    1955-
    ISBN/ISSN
    0076-6879
    Data From Reference
    Gene Groups (1)
    Genes (4)