Title | CALANGO: A phylogeny-aware comparative genomics tool for discovering quantitative genotype-phenotype associations across species. |
Publication Type | Journal Article |
Year of Publication | 2023 |
Authors | Hongo JAugusto, de Castro GMarques, Menezes APelri Albu, Picorelli ACésar Rio, da Silva TTayroni Ma, Imada ELuidy, Marchionni L, Del-Bem L-E, Chaves AVieira, Almeida GMagno de F, Campelo F, Lobo FPereira |
Journal | Patterns (N Y) |
Volume | 4 |
Issue | 6 |
Pagination | 100728 |
Date Published | 2023 Jun 09 |
ISSN | 2666-3899 |
Abstract | Living species vary significantly in phenotype and genomic content. Sophisticated statistical methods linking genes with phenotypes within a species have led to breakthroughs in complex genetic diseases and genetic breeding. Despite the abundance of genomic and phenotypic data available for thousands of species, finding genotype-phenotype associations across species is challenging due to the non-independence of species data resulting from common ancestry. To address this, we present CALANGO (comparative analysis with annotation-based genomic components), a phylogeny-aware comparative genomics tool to find homologous regions and biological roles associated with quantitative phenotypes across species. In two case studies, CALANGO identified both known and previously unidentified genotype-phenotype associations. The first study revealed unknown aspects of the ecological interaction between Escherichia coli, its integrated bacteriophages, and the pathogenicity phenotype. The second identified an association between maximum height in angiosperms and the expansion of a reproductive mechanism that prevents inbreeding and increases genetic diversity, with implications for conservation biology and agriculture. |
DOI | 10.1016/j.patter.2023.100728 |
Alternate Journal | Patterns (N Y) |
PubMed ID | 37409050 |
PubMed Central ID | PMC10318336 |
Related Faculty:
Eddie Luidy Imada, Ph.D. Luigi Marchionni, M.D., Ph.D.