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      Early-Life Development of the Bifidobacterial Community in the Infant Gut

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          Abstract

          The establishment of the gut microbiota poses implications for short and long-term health. Bifidobacterium is an important taxon in early life, being one of the most abundant genera in the infant intestinal microbiota and carrying out key functions for maintaining host-homeostasis. Recent metagenomic studies have shown that different factors, such as gestational age, delivery mode, or feeding habits, affect the gut microbiota establishment at high phylogenetic levels. However, their impact on the specific bifidobacterial populations is not yet well understood. Here we studied the impact of these factors on the different Bifidobacterium species and subspecies at both the quantitative and qualitative levels. Fecal samples were taken from 85 neonates at 2, 10, 30, 90 days of life, and the relative proportions of the different bifidobacterial populations were assessed by 16S rRNA–23S rRNA internal transcribed spacer (ITS) region sequencing. Absolute levels of the main species were determined by q-PCR. Our results showed that the bifidobacterial population establishment is affected by gestational age, delivery mode, and infant feeding, as it is evidenced by qualitative and quantitative changes. These data underline the need for understanding the impact of perinatal factors on the gut microbiota also at low taxonomic levels, especially in the case of relevant microbial populations such as Bifidobacterium. The data obtained provide indications for the selection of the species best suited for the development of bifidobacteria-based products for different groups of neonates and will help to develop rational strategies for favoring a healthy early microbiota development when this process is challenged.

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          Human gut microbiome viewed across age and geography

          Gut microbial communities represent one source of human genetic and metabolic diversity. To examine how gut microbiomes differ between human populations when viewed from the perspective of component microbial lineages, encoded metabolic functions, stage of postnatal development, and environmental exposures, we characterized bacterial species present in fecal samples obtained from 531 individuals representing healthy Amerindians from the Amazonas of Venezuela, residents of rural Malawian communities, and inhabitants of USA metropolitan areas, as well as the gene content of 110 of their microbiomes. This cohort encompassed infants, children, teenagers and adults, parents and offspring, and included mono- and dizygotic twins. Shared features of the functional maturation of the gut microbiome were identified during the first three years of life in all three populations, including age-associated changes in the representation of genes involved in vitamin biosynthesis and metabolism. Pronounced differences in bacterial species assemblages and functional gene repertoires were noted between individuals residing in the USA compared to the other two countries. These distinctive features are evident in early infancy as well as adulthood. In addition, the similarity of fecal microbiomes among family members extends across cultures. These findings underscore the need to consider the microbiome when evaluating human development, nutritional needs, physiological variations, and the impact of Westernization.
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            Richness of human gut microbiome correlates with metabolic markers.

            We are facing a global metabolic health crisis provoked by an obesity epidemic. Here we report the human gut microbial composition in a population sample of 123 non-obese and 169 obese Danish individuals. We find two groups of individuals that differ by the number of gut microbial genes and thus gut bacterial richness. They contain known and previously unknown bacterial species at different proportions; individuals with a low bacterial richness (23% of the population) are characterized by more marked overall adiposity, insulin resistance and dyslipidaemia and a more pronounced inflammatory phenotype when compared with high bacterial richness individuals. The obese individuals among the lower bacterial richness group also gain more weight over time. Only a few bacterial species are sufficient to distinguish between individuals with high and low bacterial richness, and even between lean and obese participants. Our classifications based on variation in the gut microbiome identify subsets of individuals in the general white adult population who may be at increased risk of progressing to adiposity-associated co-morbidities.
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              ClustVis: a web tool for visualizing clustering of multivariate data using Principal Component Analysis and heatmap

              The Principal Component Analysis (PCA) is a widely used method of reducing the dimensionality of high-dimensional data, often followed by visualizing two of the components on the scatterplot. Although widely used, the method is lacking an easy-to-use web interface that scientists with little programming skills could use to make plots of their own data. The same applies to creating heatmaps: it is possible to add conditional formatting for Excel cells to show colored heatmaps, but for more advanced features such as clustering and experimental annotations, more sophisticated analysis tools have to be used. We present a web tool called ClustVis that aims to have an intuitive user interface. Users can upload data from a simple delimited text file that can be created in a spreadsheet program. It is possible to modify data processing methods and the final appearance of the PCA and heatmap plots by using drop-down menus, text boxes, sliders etc. Appropriate defaults are given to reduce the time needed by the user to specify input parameters. As an output, users can download PCA plot and heatmap in one of the preferred file formats. This web server is freely available at http://biit.cs.ut.ee/clustvis/.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Int J Mol Sci
                Int J Mol Sci
                ijms
                International Journal of Molecular Sciences
                MDPI
                1422-0067
                25 March 2021
                April 2021
                : 22
                : 7
                : 3382
                Affiliations
                [1 ]Department of Microbiology and Biochemistry of Dairy Products, IPLA-CSIC, 33300 Villaviciosa, Spain; Silvia.Saturio@ 123456ipla.csic.es (S.S.); alicja.nogacka@ 123456ipla.csic.es (A.M.N.); greyes_gavilan@ 123456ipla.csic.es (C.G.d.l.R.-G.)
                [2 ]Diet, Microbiota and Health Group, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), 33011 Oviedo, Spain; nuriajmhd@ 123456gmail.com
                [3 ]Pediatrics Service, Hospital Universitario Central de Asturias, SESPA, 33011 Oviedo, Spain; msr1070@ 123456hotmail.com (M.S.); laura_mantecon@ 123456hotmail.com (L.M.); gsolis@ 123456telefonica.net (G.S.)
                [4 ]Pediatrics Research Group, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), 33011 Oviedo, Spain
                [5 ]Pediatrics Service, Hospital de Cabueñes, SESPA, 33203 Gijón, Spain
                [6 ]Laboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, 43121 Parma, Italy; leonardo.mancabelli@ 123456unipr.it (L.M.); christian.milani@ 123456unipr.it (C.M.); marco.ventura@ 123456unipr.it (M.V.)
                Author notes
                [* ]Correspondence: silvia.arboleya@ 123456ipla.csic.es (S.A.); mgueimonde@ 123456ipla.csic.es (M.G.); Tel.: +34-985-892-131 (S.A. & M.G.)
                Author information
                https://orcid.org/0000-0001-8300-6149
                https://orcid.org/0000-0001-6770-8263
                https://orcid.org/0000-0002-5062-3164
                https://orcid.org/0000-0001-9396-6311
                https://orcid.org/0000-0003-0363-831X
                https://orcid.org/0000-0002-6155-5822
                https://orcid.org/0000-0002-0192-901X
                Article
                ijms-22-03382
                10.3390/ijms22073382
                8036440
                33806135
                a44a72b8-2b03-44c1-ba7d-07ebb0168b8a
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 08 February 2021
                : 22 March 2021
                Categories
                Article

                Molecular biology
                bifidobacterium,infant,microbiota,gut,preterm,delivery mode,feeding
                Molecular biology
                bifidobacterium, infant, microbiota, gut, preterm, delivery mode, feeding

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