We deeply sampled the organismal, genetic, and transcriptional diversity in fecal samples collected from a monozygotic (MZ) twin pair and compared the results to 1,095 communities from the gut and other body habitats of related and unrelated individuals. Using a new scheme for noise reduction in pyrosequencing data, we estimated the total diversity of species-level bacterial phylotypes in the 1.2-1.5 million bacterial 16S rRNA reads obtained from each deeply sampled cotwin to be approximately 800 (35.9%, 49.1% detected in both). A combined 1.1 million read 16S rRNA dataset representing 281 shallowly sequenced fecal samples from 54 twin pairs and their mothers contained an estimated 4,018 species-level phylotypes, with each sample having a unique species assemblage (53.4 +/- 0.6% and 50.3 +/- 0.5% overlap with the deeply sampled cotwins). Of the 134 phylotypes with a relative abundance of >0.1% in the combined dataset, only 37 appeared in >50% of the samples, with one phylotype in the Lachnospiraceae family present in 99%. Nongut communities had significantly reduced overlap with the deeply sequenced twins' fecal microbiota (18.3 +/- 0.3%, 15.3 +/- 0.3%). The MZ cotwins' fecal DNA was deeply sequenced (3.8-6.3 Gbp/sample) and assembled reads were assigned to 25 genus-level phylogenetic bins. Only 17% of the genes in these bins were shared between the cotwins. Bins exhibited differences in their degree of sequence variation, gene content including the repertoire of carbohydrate active enzymes present within and between twins (e.g., predicted cellulases, dockerins), and transcriptional activities. These results provide an expanded perspective about features that make each of us unique life forms and directions for future characterization of our gut ecosystems.
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http://dx.doi.org/10.1073/pnas.1002355107 | DOI Listing |
Microorganisms
January 2025
WOAH Reference Laboratory for Brucellosis, Department of Brucellosis Research, Agricultural Research Center, Animal Health Research Institute, P.O. Box 264-Giza, Cairo 12618, Egypt.
Brucellosis is a neglected zoonotic disease that has a significant economic and public health impact, especially in endemic countries. This review delves deeply into brucellosis's current epidemiological situation and potential sources of livestock infection in Egypt during the last two decades. MLVA-16 and Whole Genome Sequencing based on core-genome SNP analyses confirm the presence of different and outbreak strains, both older widely disseminated strains and newly introduced ones.
View Article and Find Full Text PDFFront Immunol
January 2025
Adaptive Biotechnologies, Seattle, WA, United States.
Introduction: T cells are involved in the early identification and clearance of viral infections and also support the development of antibodies by B cells. This central role for T cells makes them a desirable target for assessing the immune response to SARS-CoV-2 infection.
Methods: Here, we combined two high-throughput immune profiling methods to create a quantitative picture of the T-cell response to SARS-CoV-2.
J Phycol
January 2025
Departamento de Botânica, Instituto de Biociências, Universidade de São Paulo, Sao Paulo, Brazil.
The filamentous red algal genus Bryocladia was recently deeply revised based on molecular and morphological data. However, data from the Southwestern Atlantic Ocean are scarce. Here, we provide a phylogenetic study of Bryocladia representatives from the Brazilian coast with new additions to the genus.
View Article and Find Full Text PDFMol Ecol
February 2025
Department of Ecology and Evolutionary Biology, Biodiversity Institute, University of Kansas, Lawrence, Kansas, USA.
Environmental variation often drives evolutionary processes like population differentiation, local adaptation and speciation. We used genome-scale data to investigate the contribution of environmental variation to evolution of the North Caribbean bark anole (Anolis distichus), a widespread common lizard that exhibits impressive phenotypic variation across varying habitats on the island of Hispaniola. We obtained new double-digest restriction-associated DNA sequence data (ddRADseq) from nearly 200 individuals and used 53 GIS data layers representing a range of environmental variables.
View Article and Find Full Text PDFGenome Med
January 2025
Blizard Institute, Barts and The London Faculty of Medicine and Dentistry, Queen Mary University of London, London, E1 2AT, UK.
Background: Senescence classification is an acknowledged challenge within the field, as markers are cell-type and context dependent. Currently, multiple morphological and immunofluorescence markers are required. However, emerging scRNA-seq datasets have enabled an increased understanding of senescent cell heterogeneity.
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