This study examined the technical bias associated with different DNA extraction methods used in microbiome research. Three methods were used to extract genomic DNA from the same intestinal microbiota sample that was taken from the koi carp Cyprinus carpio var. koi, after which their microbial diversity and community structure were investigated on the basis of a 16S rDNA high-throughput sequencing analysis. Biased results were observed in relation to the number of reads, alpha diversity indexes and taxonomic composition among the three DNA extraction protocols. A total of 1,381 OTUs from the intestinal bacteria were obtained, with 852, 759, and 698 OTUs acquired, using the Lysozyme and Ultrasonic Lysis method, Zirmil-beating Cell Disruption method, and a QIAamp Fast DNA Stool Mini Kit, respectively. Additionally, 336 OTUs were commonly acquired, using the three methods. The results showed that the alpha diversity indexes (Rarefaction, Shannon, and Chao1) of the community that were determined using the Lysozyme and Ultrasonic Lysis method were higher than those obtained with the Zirmil-beating Cell Disruption method, while the Zirmil method results were higher than those measured, using the QIAamp Fast DNA Stool Mini Kit. Moreover, all the major phyla (ratio>1%) could be identified with all three DNA extraction methods, but the phyla present at a lower abundance (ratio <1%) could not. Similar findings were observed at the genus level. Taken together, these findings indicated that the bias observed in the results about the community structure occurred primarily in OTUs with a lower abundance. The results of this study demonstrate that possible bias exists in community analyses, and researchers should therefore be conservative when drawing conclusions about community structures based on the currently available DNA extraction methods.
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http://dx.doi.org/10.1002/mbo3.626 | DOI Listing |
Forensic Sci Int Genet
December 2024
Department of Forensic Sciences, Oslo University Hospital, Oslo, Norway.
With the advent of commercial DNA databases, investigative genetic genealogy (IGG) has emerged as a powerful forensic tool, rivalling the impact of STR analyses, introduced four decades ago. IGG has been frequently applied in the US and tested in other countries, but never in Norway. Here, we apply IGG to three cold criminal cases and successfully identify the donor of the DNA in two of these cases.
View Article and Find Full Text PDFBraz J Microbiol
January 2025
Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.
Chlamydias are zoonotic pathogens, broadly present in several bird species and responsible for economic losses in animal production. Our study focused on assessing the prevalence of Chlamydial species posing zoonotic risks in farm animals within the highly biodiverse Argentine, Brazil, and Paraguay tri-border area, characterized by significant human interaction. We surveyed nine farms in an area and nasally swabbed a total of 62 animals, that included cattle, horses and pigs.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of São Paulo Universidade de São Paulo, São Paulo, Brazil.
Background: The Down Syndrome (DS), also referred to as trisomy of chromosome 21, is a prevalent cause of intellectual disability and also contributes to the acceleration of aging, among other developmental and health concerns. Certain pathological characteristics shared by DS and Alzheimer's Disease (AD) indicate similar commonalities. This study aims to unravel the relationship between the canonical Wnt/pathway, the amyloid precursor protein processing, the telomere shortening in DS individuals.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA.
Background: The burden of Alzheimer's disease and related dementias is growing fast in Africa. The Recruitment and Retention for Alzheimer's Disease Diversity Genetic Cohorts in the Alzheimer's Disease Sequencing Project (READD-ADSP) has commenced recruitment of 5000 African participants (AD and cognitively unimpaired individuals) to generate genomic and biomarker data to better characterize AD genetic architecture in Africa. Participating countries, part of the African Dementia Consortium (AfDC) include Nigeria, Ghana, Benin, Cameroon, Uganda, Kenya, Ethiopia, Tanzania, and Mozambique.
View Article and Find Full Text PDFBackground: Metabolic diseases like chronic Type 2 Diabetes Mellitus (T2DM) are now a serious global health concern In the United States. African Americans (AA) are being affected at a disproportionate rate with the condition compared to other ethnic groups, yet there are relatively few studies that have specifically focused on this group. Our previous findings have suggested that AA patients with T2DM had gene expression signals associated with Alzheimer's Disease (AD).
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