Publications by authors named "Runyang N Lou"

Rockfishes (genus Sebastes) are one of the most diverse clades amongst teleosts (ray-finned fishes). The genus includes more than 110 species which are distributed broadly across the North Pacific Ocean, North and South Atlantic Ocean, and Southeastern Pacific Ocean. Rockfishes exhibit particularly high diversity along the western coast of the United States, where their abundance plays a critical role in local marine ecosystems and fisheries.

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Article Synopsis
  • Ostrea edulis, the European flat oyster, has experienced significant population declines over the past 200 years, prompting restoration efforts focused on restocking and conservation.
  • This study utilized whole-genome sequencing to identify seven distinct genetic clusters of the oyster, revealing complex population structures and signs of genetic mixing in Scandinavian regions.
  • The findings emphasize the need to understand genetic diversity and local adaptation for effective conservation strategies to restore native European flat oyster populations.
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The adoption of agriculture triggered a rapid shift towards starch-rich diets in human populations. Amylase genes facilitate starch digestion, and increased amylase copy number has been observed in some modern human populations with high-starch intake, although evidence of recent selection is lacking. Here, using 94 long-read haplotype-resolved assemblies and short-read data from approximately 5,600 contemporary and ancient humans, we resolve the diversity and evolutionary history of structural variation at the amylase locus.

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Structural variants (SVs) account for the majority of base pair differences both within and between primate species. However, our understanding of inter- and intra-species SV has been historically hampered by the quality of draft primate genomes and the absence of genome resources for key taxa. Recently, advances in long-read sequencing and genome assembly have begun to radically reshape our understanding of SVs.

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Summary: We developed loco-pipe, a Snakemake pipeline that seamlessly streamlines a set of essential population genomic analyses for low-coverage whole genome sequencing (lcWGS) data. loco-pipe is highly automated, easily customizable, massively parallelized, and thus is a valuable tool for both new and experienced users of lcWGS.

Availability And Implementation: loco-pipe is published under the GPLv3.

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The adoption of agriculture, first documented ~12,000 years ago in the Fertile Crescent, triggered a rapid shift toward starch-rich diets in human populations. Amylase genes facilitate starch digestion and increased salivary amylase copy number has been observed in some modern human populations with high starch intake, though evidence of recent selection is lacking. Here, using 52 long-read diploid assemblies and short read data from ~5,600 contemporary and ancient humans, we resolve the diversity, evolutionary history, and selective impact of structural variation at the amylase locus.

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Over the past few decades, there has been an explosion in the amount of publicly available sequencing data. This opens new opportunities for combining data sets to achieve unprecedented sample sizes, spatial coverage or temporal replication in population genomic studies. However, a common concern is that nonbiological differences between data sets may generate patterns of variation in the data that can confound real biological patterns, a problem known as batch effects.

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Article Synopsis
  • Low-coverage whole genome sequencing (lcWGS) is a valuable and cost-effective method for studying population genomics, but it requires special tools due to its low read depth, which complicates genotype accuracy.
  • The guide provides a comparison of lcWGS costs to RAD-seq and Pool-seq, introduces software that helps manage genotype uncertainty, and evaluates the accuracy of various genetic analyses based on different sequencing strategies.
  • Results suggest that distributing sequencing effort across more samples with lower individual depth generally enhances inference accuracy, although some exceptions exist; the guide also explores the potential of imputation in improving analysis for nonmodel species and outlines future research directions.
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