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Zare, T.

Publications and source records attributed to Zare, T..

2 recordsLinked to original sources

Comparative Genomics Points to Tandem Duplications of SAD Gene Clusters as Drivers of Increased ω-3 Content in S. hispanica Seeds

O_LIA high-quality chromosome-level reference genome of S. hispanica was assembled and analysed. C_LIO_LIAncestral whole-genome duplication events have not promoted the high -linolenic acid content in S. hispanica seeds C_LIO_LITandem duplication of six stearoyl-ACP desaturase genes is a plausible cause for high {omega}-3 content in chia seeds. C_LI Salvia hispanica L. (chia) is an abundant source of {omega}-3 polyunsaturated fatty acids (PUFAs) that are highly beneficial to human health. The genomic basis for this accrued PUFA content in this emerging crop was investigated through the assembly and comparative analysis of a chromosome-level reference genome for S. hispanica (321.5 Mbp). The highly contiguous 321.5Mbp genome assembly, which covers all six chromosomes enabled the identification of 32,922 protein coding genes. Two whole-genome duplications (WGD) events were identified in the S. hispanica lineage. However, these WGD events could not be linked to the high -linolenic acid (ALA, {omega}-3) accumulation in S. hispanica seeds based on phylogenomics. Instead, our analysis supports the hypothesis that evolutionary expansion through tandem duplications of specific lipid gene families, particularly the stearoyl-acyl carrier protein (ACP) desaturase (ShSAD) gene family, is the main driver of the abundance of {omega}-3 PUFAs in S. hispanica seeds. The insights gained from the genomic analysis of S. hispanica will help leveraging advanced genome editing techniques and will greatly support breeding efforts for improving {omega}-3 content in other oil crops.

genomics↗

compare_genomes: a comparative genomics workflow to streamline the analysis of evolutionary divergence across genomes

SummaryThe dawn of cost-effective genome assembly is enabling deep comparative genomics to address fundamental evolutionary questions by comparing the genomes of multiple species. However, comparative genomics analyses often deploy multiple, often purpose-built frameworks, limiting their transferability and replicability. Here, we developed compare_genomes, a transferable and extensible comparative genomics workflow package which streamlines the identification of orthologous families within and across genomes and tests for the presence of several mechanisms of evolution (gene family expansion or contraction and substitution rates within protein-coding sequences). Availability and ImplementationThe workflow is available for Linux, written as a Nextflow workflow which calls established genomics and phylogenetics tools to streamline the analysis and visualisation of genome divergence. This workflow is freely available at https://github.com/jeffersonfparil/compare_genomes, distributed under the GNU General Public License version 3 (GPLv3). ContactCorresponding author: Jeff Paril jeff.paril@unimelb.edu.au. Queries and issues regarding the implementation can be submitted on the issue page of the github repository: https://github.com/jeffersonfparil/compare_genomes/issues. Supplementary informationSynonymous to non-synonymous (Ka/Ks) nucleotide substitution ratio plots for the example data set are found in the github repository.

bioinformatics↗