Near-Chromosomal-Level Genome Assembly of the Sea Urchin Echinometra lucunter, a Model for Speciation in the Sea.
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2023-06
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Echinometra lucunter, the rock-boring sea urchin, is a widely distributed echinoid and a model for ecological studies of reproduction, responses to climate change, and speciation. We present a near chromosome-level genome assembly of E. lucunter, including 21 scaffolds larger than 10 Mb predicted to represent each of the chromosomes of the species. The 760.4 Mb assembly includes a scaffold N50 of 30.0 Mb and BUSCO (benchmarking universal single-copy orthologue) single copy and a duplicated score of 95.8% and 1.4%, respectively. Ab-initio gene model prediction and annotation with transcriptomic data constructed 33,989 gene models composing 50.4% of the assembly, including 37,036 transcripts. Repetitive elements make up approximately 39.6% of the assembly, and unresolved gap sequences are estimated to be 0.65%. Whole genome alignment with Echinometra sp. EZ revealed high synteny and conservation between the two species, further bolstering Echinometra as an emerging genus for comparative genomics studies. This genome assembly represents a high-quality genomic resource for future evolutionary and developmental studies of this species and more broadly of echinoderms.
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Davidson, Phillip L, Harilaos A Lessios, Gregory A Wray, W Owen McMillan and Carlos Prada (2023). Near-Chromosomal-Level Genome Assembly of the Sea Urchin Echinometra lucunter, a Model for Speciation in the Sea. Genome biology and evolution, 15(6). p. evad093. 10.1093/gbe/evad093 Retrieved from https://hdl.handle.net/10161/28311.
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Gregory Allan Wray
I study the evolution of genes and genomes with the broad aim of understanding the origins of biological diversity. My approach focuses on changes in the expression of genes using both empirical and computational approaches and spans scales of biological organization from single nucleotides through gene networks to entire genomes. At the finer end of this spectrum of scale, I am focusing on understanding the functional consequences and fitness components of specific genetic variants within regulatory sequences of several genes associated with ecologically relevant traits. At the other end of the scale, I am developing molecular and analytical methods to detect changes in gene function throughout entire genomes, including statistical frameworks for detecting natural selection on regulatory elements and empirical approaches to identify functional variation in transcriptional regulation. At intermediate scales, I am investigating functional variation within a dense gene network in the context of wild populations and natural perturbations. My research leverages the advantages of several different model systems, but primarily focuses on sea urchins and primates (including humans).
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