ALBERT

Description: The bacteria that colonize humans and our built environments have the potential to influence our health. Microbial communities associated with seven families and their homes over 6 weeks were assessed, including three families that moved their home. Microbial communities differed substantially among homes, and the home microbiome was largely sourced from humans. The microbiota in each home were identifiable by family. Network analysis identified humans as the primary bacterial vector, and a Bayesian method significantly matched individuals to their dwellings. Draft genomes of potential human pathogens observed on a kitchen counter could be matched to the hands of occupants. After a house move, the microbial community in the new house rapidly converged on the microbial community of the occupants' former house, suggesting rapid colonization by the family's microbiota.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4337996/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4337996/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lax, Simon -- Smith, Daniel P -- Hampton-Marcell, Jarrad -- Owens, Sarah M -- Handley, Kim M -- Scott, Nicole M -- Gibbons, Sean M -- Larsen, Peter -- Shogan, Benjamin D -- Weiss, Sophie -- Metcalf, Jessica L -- Ursell, Luke K -- Vazquez-Baeza, Yoshiki -- Van Treuren, Will -- Hasan, Nur A -- Gibson, Molly K -- Colwell, Rita -- Dantas, Gautam -- Knight, Rob -- Gilbert, Jack A -- DP2 DK098089/DK/NIDDK NIH HHS/ -- DP2-DK-098089/DK/NIDDK NIH HHS/ -- P01 DK078669/DK/NIDDK NIH HHS/ -- R01 HG004872/HG/NHGRI NIH HHS/ -- T32 GM008759/GM/NIGMS NIH HHS/ -- U01 HG004866/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2014 Aug 29;345(6200):1048-52. doi: 10.1126/science.1254529.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Ecology and Evolution, University of Chicago, 1101 E 57th Street, Chicago, IL 60637, USA. Institute for Genomic and Systems Biology, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, USA. ; Department of Ecology and Evolution, University of Chicago, 1101 E 57th Street, Chicago, IL 60637, USA. Institute for Genomic and Systems Biology, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, USA. Alkek Center for Metagenomics and Microbiome Research, Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX 77030, USA. ; Institute for Genomic and Systems Biology, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, USA. Computation Institute, University of Chicago, Chicago, IL 60637, USA. ; Institute for Genomic and Systems Biology, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, USA. Graduate Program in Biophysical Sciences, University of Chicago, Chicago, IL 60637, USA. ; Department of Bioscience, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, USA. Department of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA. ; Department of Surgery, University of Chicago Medicine, 5841 South Maryland Avenue, Chicago, IL 60637, USA. ; Biofrontiers Institute, University of Colorado, 3415 Colorado Avenue, Boulder, CO 80304, USA. Department of Chemical and Biological Engineering, University of Colorado at Boulder, Boulder, CO 80304, USA. ; Biofrontiers Institute, University of Colorado, 3415 Colorado Avenue, Boulder, CO 80304, USA. ; Biofrontiers Institute, University of Colorado, 3415 Colorado Avenue, Boulder, CO 80304, USA. Department of Chemistry and Biochemistry, University of Colorado at Boulder, Boulder, CO 80304, USA. ; Biofrontiers Institute, University of Colorado, 3415 Colorado Avenue, Boulder, CO 80304, USA. Department of Chemistry and Biochemistry, University of Colorado at Boulder, Boulder, CO 80304, USA. Department of Computer Science, University of Colorado at Boulder, Boulder, CO 80304, USA. ; CosmosID, 387 Technology Drive, Suite 3119, College Park, MD 20742, USA. Center for Bioinformatics and Computational Biology, University of Maryland Institute for Advanced Computer Studies, University of Maryland College Park, College Park, MD 20742, USA. ; Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63108, USA. Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO 63110, USA. Department of Biomedical Engineering, Washington University, St. Louis, MO 63130, USA. ; Biofrontiers Institute, University of Colorado, 3415 Colorado Avenue, Boulder, CO 80304, USA. Department of Chemistry and Biochemistry, University of Colorado at Boulder, Boulder, CO 80304, USA. Howard Hughes Medical Institute, Boulder, CO 80309, USA. ; Department of Ecology and Evolution, University of Chicago, 1101 E 57th Street, Chicago, IL 60637, USA. Institute for Genomic and Systems Biology, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, USA. Graduate Program in Biophysical Sciences, University of Chicago, Chicago, IL 60637, USA. gilbertjack@anl.gov.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25170151" target="_blank"〉PubMed〈/a〉

Description: Fisheries have removed at least 50 million tons of tuna and other top-level predators from the Pacific Ocean pelagic ecosystem since 1950, leading to concerns about a catastrophic reduction in population biomass and the collapse of oceanic food chains. We analyzed all available data from Pacific tuna fisheries for 1950-2004 to provide comprehensive estimates of fishery impacts on population biomass and size structure. Current biomass ranges among species from 36 to 91% of the biomass predicted in the absence of fishing, a level consistent with or higher than standard fisheries management targets. Fish larger than 175 centimeters fork length have decreased from 5% to approximately 1% of the total population. The trophic level of the catch has decreased slightly, but there is no detectable decrease in the trophic level of the population. These results indicate substantial, though not catastrophic, impacts of fisheries on these top-level predators and minor impacts on the ecosystem in the Pacific Ocean.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Sibert, John -- Hampton, John -- Kleiber, Pierre -- Maunder, Mark -- New York, N.Y. -- Science. 2006 Dec 15;314(5806):1773-6.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Joint Institute for Marine and Atmospheric Research, University of Hawaii, Honolulu, HI 96822, USA. sibert@hawaii.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17170304" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kaplan, David M -- Bach, Pascal -- Bonhommeau, Sylvain -- Chassot, Emmanuel -- Chavance, Pierre -- Dagorn, Laurent -- Davies, Tim -- Dueri, Sibylle -- Fletcher, Rick -- Fonteneau, Alain -- Fromentin, Jean-Marc -- Gaertner, Daniel -- Hampton, John -- Hilborn, Ray -- Hobday, Alistair -- Kearney, Robert -- Kleiber, Pierre -- Lehodey, Patrick -- Marsac, Francis -- Maury, Olivier -- Mees, Chris -- Menard, Frederic -- Pearce, John -- Sibert, John -- New York, N.Y. -- Science. 2013 May 17;340(6134):810-1. doi: 10.1126/science.340.6134.810-b.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23687027" target="_blank"〉PubMed〈/a〉

Description: As part of an on-going re-assessment of the Cretaceous/Paleogene boundary in the Brazos River area, Falls County, Texas, a number of new exposures have been described. One of these, at River Bank South, provides a near-continuous record of the lowermost Paleocene. It is from this succession that stable isotope analysis of bulk organic matter ( 13 C and C/N) and mono-specific samples of the benthic foraminifera Lenticulina rotulata Lamarck ( 18 O and 13 C) yields an orbitally-tuned stable isotope record, which allows the timing of events adjacent to the Cretaceous/Paleogene boundary to be determined. Using this cyclicity, it is suggested that the on-set of biotic recovery began ~40,000 years after the impact (near the base of Zone Pα) and that more significant recovery of planktic foraminifera and calcareous nannofossils began close to the base of Zone P1a, some 85,000–100,000 years post-impact. The data also appear to record the presence of the earliest Paleocene DAN-C2 and Lower C29n hyperthermal events and that these events appear to be an accentuated segment of this orbital cyclicity.