Project description:Transcriptome profiling of whole proboscis and body wall of the marine Polychaeta Eulalia sp. (Eulalia viridis), adults, wild population (sex undiscriminated), collected from the rocky intertidal at W Portugal (2018).
Project description:<p>Copy number variation (CNV) has been recognized as a major contributor to human genome diversity. It plays an important role in determining phenotypes and has been associated with a number of common and complex diseases. However the CNV data from diverse populations is rather limited. Here we report the first investigation of copy number variation (CNV) in the indigenous populations from Peninsular Malaysia. We genotyped 34 Negrito genomes from Peninsular Malaysia using the Affymetrix SNP 6.0 microarray and identified 62 putative novel CNVs, consisting of 25 gains and 37 losses. These CNVs appear unique to the Negrito population and were absent in the DGV, HapMap3 and Singapore Genome Variation Project (SGVP) datasets. Analysis of gene ontology revealed that genes within these CNVs were enriched in the immune system (GO:0002376), response to stimulus mechanisms (GO:0050896), as well as the metabolic pathways (GO:0001852). Copy number gains in CNVRs enriched with genes were significantly higher than the losses (P value <0.001). Therefore, in view of the small population size, relative isolation and semi-normadic lifestyles of this community, we speculate that these CNVs may be attributed to recent local adaptation of Negritos from Peninsular Malaysia.</p>
Project description:<p>Copy number variation (CNV) has been recognized as a major contributor to human genome diversity. It plays an important role in determining phenotypes and has been associated with a number of common and complex diseases. However the CNV data from diverse populations is rather limited. Here we report the first investigation of copy number variation (CNV) in the indigenous populations from Peninsular Malaysia. We genotyped 34 Negrito genomes from Peninsular Malaysia using the Affymetrix SNP 6.0 microarray and identified 62 putative novel CNVs, consisting of 25 gains and 37 losses. These CNVs appear unique to the Negrito population and were absent in the DGV, HapMap3 and Singapore Genome Variation Project (SGVP) datasets. Analysis of gene ontology revealed that genes within these CNVs were enriched in the immune system (GO:0002376), response to stimulus mechanisms (GO:0050896), as well as the metabolic pathways (GO:0001852). Copy number gains in CNVRs enriched with genes were significantly higher than the losses (P value <0.001). Therefore, in view of the small population size, relative isolation and semi-normadic lifestyles of this community, we speculate that these CNVs may be attributed to recent local adaptation of Negritos from Peninsular Malaysia.</p>
| phs000664.v1.p1 | EGA
Project description:Environmental DNA metabarcoding differentiates between micro-habitats within the rocky intertidal
| PRJNA1083727 | ENA
Project description:Health and Saliva Microbiomes of a Semi-Urbanized Indigenous Tribe in Peninsular Malaysia
Project description:In recent years, the scale culture of Chinese soft-shelled turtle has developed rapidly. However, diseases in aquaculture are the main problems affecting the rapid and healthy cultivation. Strengthening the immunity of Chinese soft-shelled turtles is extremely important to control the infection of pathogenic bacteria. Bacillus has attracted attention as a probiotic supplement in aquatic feeds.In our previous studies, we found that the addition of Bacillus subtilis B10 to diets could increase survival rate, daily weight gain (DG) and feed conversion ratio (FCR) of Chinese soft-shelled turtles, improving the activities of digestive enzyme and optimizing the microbial communities of intestinal in Chinese soft-shelled turtle.However, the study on the mechanism of Bacillus subtilis B10 in Chinese soft-shelled turtle culture remains rare. Therefore, in this study, we used Bacillus subtilis B10 to feed the turtle, and used RNA-seq to explore its mechanism.
2022-09-01 | GSE183769 | GEO
Project description:Genome-wide analysis of population structure and adaptation of Plasmodium knowlesi in peninsular Malaysia