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Inferring demographic and selective histories from population genomic data using a two-step approach in species with coding-sparse genomes: an application to human data.
G3 (Bethesda)
January 2025
School of Life Sciences, Center for Evolution & Medicine, Arizona State University, Tempe, AZ 85281, USA.
The demographic history of a population, and the distribution of fitness effects (DFE) of newly arising mutations in functional genomic regions, are fundamental factors dictating both genetic variation and evolutionary trajectories. Although both demographic and DFE inference has been performed extensively in humans, these approaches have generally either been limited to simple demographic models involving a single population, or, where a complex population history has been inferred, without accounting for the potentially confounding effects of selection at linked sites. Taking advantage of the coding-sparse nature of the genome, we propose a 2-step approach in which coalescent simulations are first used to infer a complex multi-population demographic model, utilizing large non-functional regions that are likely free from the effects of background selection.
View Article and Find Full Text PDFGenetic diversity and selection signatures in sheep breeds.
J Appl Genet
January 2025
Departamento de Ciências Exatas, Universidade Estadual Paulista (UNESP), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabal, Brazil.
Natural and artificial selection in domesticated animals can cause specific changes in genomic regions known as selection signatures. Our study used the integrated haplotype score (iHS) and Tajima's D tests within non-overlapping windows of 100 kb to identify selection signatures, in addition to genetic diversity and linkage disequilibrium estimates in 9498 sheep from breeds in Ireland (Belclare, Charollais, Suffolk, Texel, and Vendeen). The mean observed and expected heterozygosity for all the sheep breeds were 0.
View Article and Find Full Text PDFImportance of pre-mRNA splicing and its study tools in plants.
Adv Biotechnol (Singap)
February 2024
National Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for Research and Development of Fine Chemicals, Guizhou University, Guiyang, China.
Alternative splicing (AS) significantly enriches the diversity of transcriptomes and proteomes, playing a pivotal role in the physiology and development of eukaryotic organisms. With the continuous advancement of high-throughput sequencing technologies, an increasing number of novel transcript isoforms, along with factors related to splicing and their associated functions, are being unveiled. In this review, we succinctly summarize and compare the different splicing mechanisms across prokaryotes and eukaryotes.
View Article and Find Full Text PDFDecoding the genetic blueprint: regulation of key agricultural traits in sorghum.
Adv Biotechnol (Singap)
September 2024
School of Agriculture and Biotechnology, Sun Yat-sen University, Shenzhen, 518107, P. R. China.
Sorghum, the fifth most important crop globally, thrives in challenging environments such as arid, saline-alkaline, and infertile regions. This remarkable crop, one of the earliest crops domesticated by humans, offers high biomass and stress-specific properties that render it suitable for a variety of uses including food, feed, bioenergy, and biomaterials. What's truly exciting is the extensive phenotypic variation in sorghum, particularly in traits related to growth, development, and stress resistance.
View Article and Find Full Text PDFMining microbial and metabolic dark matter in extreme environments: a roadmap for harnessing the power of multi-omics data.
Adv Biotechnol (Singap)
August 2024
State Key Laboratory of Biocontrol, Guangdong Provincial Key Laboratory of Plant Stress Biology and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510275, PR China.
Extreme environments such as hyperarid, hypersaline, hyperthermal environments, and the deep sea harbor diverse microbial communities, which are specially adapted to extreme conditions and are known as extremophiles. These extremophilic organisms have developed unique survival strategies, making them ideal models for studying microbial diversity, evolution, and adaptation to adversity. They also play critical roles in biogeochemical cycles.
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