The recent surge in plant genomic and transcriptomic data has laid a foundation for reconstructing evolutionary scenarios and inferring potential functions of key genes related to plants' development and stress responses. The classical scheme for identifying homologous genes is sequence similarity-based searching, under the crucial assumption that homologous sequences are more similar to each other than they are to any other non-homologous sequences. Advances in plant phylogenomics and computational algorithms have enabled us to systemically identify homologs/orthologs and reconstruct their evolutionary histories among distantly related lineages. Here, we present a comprehensive pipeline for homologous sequences identification, phylogenetic relationship inference, and potential functional profiling of genes in plants. Key features • Identification of orthologs using large-scale genomic and transcriptomic data. • This protocol is generalized for analyzing the evolution of plant genes.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10714154 | PMC |
| http://dx.doi.org/10.21769/BioProtoc.4893 | DOI Listing |
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