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  1. Article ; Online: Going viral: how to boost the spread of coronavirus science on social media.

    Yammine, Samantha

    Nature

    2020  Volume 581, Issue 7808, Page(s) 345–346

    Keywords covid19
    Language English
    Publishing date 2020-05-05
    Publishing country England
    Document type News
    ZDB-ID 120714-3
    ISSN 1476-4687 ; 0028-0836
    ISSN (online) 1476-4687
    ISSN 0028-0836
    DOI 10.1038/d41586-020-01356-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Temperature and CO

    Kilner, Christopher L / Carrell, Alyssa A / Wieczynski, Daniel J / Votzke, Samantha / DeWitt, Katrina / Yammine, Andrea / Shaw, Jonathan / Pelletier, Dale A / Weston, David J / Gibert, Jean P

    Global change biology

    2024  Volume 30, Issue 3, Page(s) e17203

    Abstract: Microbes affect the global carbon cycle that influences climate change and are in turn influenced by environmental change. Here, we use data from a long-term whole-ecosystem warming experiment at a boreal peatland to answer how temperature and ... ...

    Abstract Microbes affect the global carbon cycle that influences climate change and are in turn influenced by environmental change. Here, we use data from a long-term whole-ecosystem warming experiment at a boreal peatland to answer how temperature and CO
    MeSH term(s) Humans ; Carbon Dioxide ; Ecosystem ; Temperature ; Eukaryota ; Carbon
    Chemical Substances Carbon Dioxide (142M471B3J) ; Carbon (7440-44-0)
    Language English
    Publishing date 2024-03-03
    Publishing country England
    Document type Journal Article
    ZDB-ID 1281439-8
    ISSN 1365-2486 ; 1354-1013
    ISSN (online) 1365-2486
    ISSN 1354-1013
    DOI 10.1111/gcb.17203
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Increasing temperature weakens the positive effect of genetic diversity on population growth.

    Singleton, Alexandra L / Liu, Megan H / Votzke, Samantha / Yammine, Andrea / Gibert, Jean P

    Ecology and evolution

    2021  Volume 11, Issue 24, Page(s) 17810–17816

    Abstract: Genetic diversity and temperature increases associated with global climate change are known to independently influence population growth and extinction risk. Whether increasing temperature may influence the effect of genetic diversity on population ... ...

    Abstract Genetic diversity and temperature increases associated with global climate change are known to independently influence population growth and extinction risk. Whether increasing temperature may influence the effect of genetic diversity on population growth, however, is not known. We address this issue in the model protist system
    Language English
    Publishing date 2021-12-14
    Publishing country England
    Document type Journal Article
    ZDB-ID 2635675-2
    ISSN 2045-7758
    ISSN 2045-7758
    DOI 10.1002/ece3.8335
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Feedbacks between size and density determine rapid eco‐phenotypic dynamics

    Gibert, Jean P. / Han, Ze‐Yi / Wieczynski, Daniel J. / Votzke, Samantha / Yammine, Andrea

    Functional ecology. 2022 July, v. 36, no. 7

    2022  

    Abstract: Body size is a fundamental trait linked to many ecological processes—from individuals to ecosystems. Although the effects of body size on metabolism are well‐known, the potential reciprocal effects of body size and density are less clear. Specifically, ( ... ...

    Abstract Body size is a fundamental trait linked to many ecological processes—from individuals to ecosystems. Although the effects of body size on metabolism are well‐known, the potential reciprocal effects of body size and density are less clear. Specifically, (a) whether changes in body size or density more strongly influence the other and (b) whether coupled rapid changes in body size and density are due to plasticity, rapid evolutionary change or a combination of both. Here, we address these two issues by experimentally tracking population density and mean body size in the protist Tetrahymena pyriformis as it grows from low density to carrying capacity. We then use Convergent Cross Mapping time series analyses to infer the direction, magnitude and causality of the link between body size and population dynamics. We confirm the results of our analysis by experimentally manipulating body size and density while keeping the other constant. Last, we fit mathematical models to our experimental time series that account for purely plastic change in body size, rapid evolution in size, or a combination of both, to gain insights into the processes that most likely explain the observed dynamics. Our results indicate that changes in body size more strongly influence changes in density than the other way around, but also show that there is reciprocity in this effect (i.e., a feedback). We show that a model that only accounts for purely plastic change in size most parsimoniously explains observed, coupled phenotypic and ecological dynamics. Together, these results suggest (a) that body size can shift dramatically through plasticity, well within ecological timescales, (b) that rapid changes in body size may have a larger effect on population dynamics than the reverse, but (c) phenotypic and population dynamics influence each other as populations grow. Overall, we show that rapid plastic changes in functional traits like body size may play a fundamental—but currently unrecognized—role in familiar ecological processes such as logistic population growth. Read the free Plain Language Summary for this article on the Journal blog.
    Keywords Tetrahymena pyriformis ; body size ; evolution ; metabolism ; phenotype ; population density ; population growth ; protists ; time series analysis
    Language English
    Dates of publication 2022-07
    Size p. 1668-1680.
    Publishing place John Wiley & Sons, Ltd
    Document type Article
    Note JOURNAL ARTICLE
    ZDB-ID 2020307-X
    ISSN 1365-2435 ; 0269-8463
    ISSN (online) 1365-2435
    ISSN 0269-8463
    DOI 10.1111/1365-2435.14070
    Database NAL-Catalogue (AGRICOLA)

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  5. Article ; Online: Social media for social change in science.

    Yammine, Samantha Z / Liu, Christine / Jarreau, Paige B / Coe, Imogen R

    Science (New York, N.Y.)

    2018  Volume 360, Issue 6385, Page(s) 162–163

    MeSH term(s) Humans ; Public Opinion ; Science ; Social Change ; Social Media
    Language English
    Publishing date 2018--13
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 128410-1
    ISSN 1095-9203 ; 0036-8075
    ISSN (online) 1095-9203
    ISSN 0036-8075
    DOI 10.1126/science.aat7303
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Fate Specification of GFAP-Negative Primitive Neural Stem Cells and Their Progeny at Clonal Resolution.

    Yammine, Samantha Z / Burns, Ian / Gosio, Jessica / Peluso, Andrew / Merritt, Daniel M / Innes, Brendan / Coles, Brenda L K / Yan, Wen Rui / Bader, Gary D / Morshead, Cindi M / van der Kooy, Derek

    Stem cells and development

    2023  Volume 32, Issue 19-20, Page(s) 606–621

    Abstract: The mature brain contains an incredible number and diversity of cells that are produced and maintained by heterogeneous pools of neural stem cells (NSCs). Two distinct types of NSCs exist in the developing and adult mouse brain: Glial Fibrillary Acidic ... ...

    Abstract The mature brain contains an incredible number and diversity of cells that are produced and maintained by heterogeneous pools of neural stem cells (NSCs). Two distinct types of NSCs exist in the developing and adult mouse brain: Glial Fibrillary Acidic Protein (GFAP)-negative primitive (p)NSCs and downstream GFAP-positive definitive (d)NSCs. To better understand the embryonic functions of NSCs, we performed clonal lineage tracing within neurospheres grown from either pNSCs or dNSCs to enrich for their most immediate downstream neural progenitor cells (NPCs). These clonal progenitor lineage tracing data allowed us to construct a hierarchy of progenitor subtypes downstream of pNSCs and dNSCs that were then validated using single-cell transcriptomics. Further, we identify Nexn as required for neuronal specification from neuron/astrocyte progenitor cells downstream of rare pNSCs. Combined, these data provide single-cell resolution of NPC lineages downstream of rare pNSCs that likely would be missed from population-level analyses in vivo.
    MeSH term(s) Mice ; Animals ; Glial Fibrillary Acidic Protein/genetics ; Glial Fibrillary Acidic Protein/metabolism ; Neural Stem Cells/metabolism ; Neurons/metabolism ; Brain/metabolism ; Astrocytes/metabolism ; Cell Differentiation/genetics
    Chemical Substances Glial Fibrillary Acidic Protein
    Language English
    Publishing date 2023-09-11
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2142214-X
    ISSN 1557-8534 ; 1547-3287
    ISSN (online) 1557-8534
    ISSN 1547-3287
    DOI 10.1089/scd.2023.0038
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Increasing temperature weakens the positive effect of genetic diversity on population growth

    Alexandra L. Singleton / Megan H. Liu / Samantha Votzke / Andrea Yammine / Jean P. Gibert

    Ecology and Evolution, Vol 11, Iss 24, Pp 17810-

    2021  Volume 17816

    Abstract: Abstract Genetic diversity and temperature increases associated with global climate change are known to independently influence population growth and extinction risk. Whether increasing temperature may influence the effect of genetic diversity on ... ...

    Abstract Abstract Genetic diversity and temperature increases associated with global climate change are known to independently influence population growth and extinction risk. Whether increasing temperature may influence the effect of genetic diversity on population growth, however, is not known. We address this issue in the model protist system Tetrahymena thermophila. We test the hypothesis that at temperatures closer to the species’ thermal optimum (i.e., the temperature at which population growth is maximal, or Topt), genetic diversity should have a weaker effect on population growth compared to temperatures away from the thermal optimum. To do so, we grew populations of T. thermophila with varying levels of genetic diversity at increasingly warmer temperatures and quantified their intrinsic population growth rate, r. We found that genetic diversity increases population growth at cooler temperatures, but that as temperature increases, this effect weakens. We also show that a combination of changes in the amount of expressed genetic diversity (G) in r, plastic changes in population growth across temperatures (E), and strong G × E interactions underlie this temperature effect. Our results uncover important but largely overlooked temperature effects that have implications for the management of small populations with depauperate genetic stocks in an increasingly warming world.
    Keywords genetic variability ; global warming ; intraspecific variability ; intraspecific variation ; microbes ; Ecology ; QH540-549.5
    Subject code 612
    Language English
    Publishing date 2021-12-01T00:00:00Z
    Publisher Wiley
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Linking species traits and demography to explain complex temperature responses across levels of organization.

    Wieczynski, Daniel J / Singla, Pranav / Doan, Adrian / Singleton, Alexandra / Han, Ze-Yi / Votzke, Samantha / Yammine, Andrea / Gibert, Jean P

    Proceedings of the National Academy of Sciences of the United States of America

    2021  Volume 118, Issue 42

    Abstract: Microbial communities regulate ecosystem responses to climate change. However, predicting these responses is challenging because of complex interactions among processes at multiple levels of organization. Organismal traits that determine individual ... ...

    Abstract Microbial communities regulate ecosystem responses to climate change. However, predicting these responses is challenging because of complex interactions among processes at multiple levels of organization. Organismal traits that determine individual performance and ecological interactions are essential for scaling up environmental responses from individuals to ecosystems. We combine protist microcosm experiments and mathematical models to show that key traits-cell size, shape, and contents-each explain different aspects of species' demographic responses to changes in temperature. These differences in species' temperature responses have complex cascading effects across levels of organization-causing nonlinear shifts in total community respiration rates across temperatures via coordinated changes in community composition, equilibrium densities, and community-mean species mass in experimental protist communities that tightly match theoretical predictions. Our results suggest that traits explain variation in population growth, and together, these two factors scale up to influence community- and ecosystem-level processes across temperatures. Connecting the multilevel microbial processes that ultimately influence climate in this way will help refine predictions about complex ecosystem-climate feedbacks and the pace of climate change itself.
    MeSH term(s) Climate Change ; Ecosystem ; Microbiota ; Species Specificity ; Temperature
    Language English
    Publishing date 2021-10-09
    Publishing country United States
    Document type Journal Article ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 209104-5
    ISSN 1091-6490 ; 0027-8424
    ISSN (online) 1091-6490
    ISSN 0027-8424
    DOI 10.1073/pnas.2104863118
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Using selfies to challenge public stereotypes of scientists.

    Jarreau, Paige Brown / Cancellare, Imogene A / Carmichael, Becky J / Porter, Lance / Toker, Daniel / Yammine, Samantha Z

    PloS one

    2019  Volume 14, Issue 5, Page(s) e0216625

    Abstract: In an online Qualtrics panel survey experiment (N = 1620), we found that scientists posting self-portraits ("selfies") to Instagram from the science lab/field were perceived as significantly warmer and more trustworthy, and no less competent, than ... ...

    Abstract In an online Qualtrics panel survey experiment (N = 1620), we found that scientists posting self-portraits ("selfies") to Instagram from the science lab/field were perceived as significantly warmer and more trustworthy, and no less competent, than scientists posting photos of only their work. Participants who viewed scientist selfies, especially posts containing the face of a female scientist, perceived scientists as significantly warmer than did participants who saw science-only images or control images. Participants who viewed selfies also perceived less symbolic threat from scientists. Most encouragingly, participants viewing selfies, either of male or female scientists, did not perceive scientists as any less competent than did participants viewing science-only or control images. Subjects who viewed female scientist selfies also perceived science as less exclusively male. Our findings suggest that self-portraiture by STEM professionals on social media can mitigate negative attitudes toward scientists.
    MeSH term(s) Biomedical Research ; Body Image/psychology ; Female ; Humans ; Male ; Photography ; Social Media ; Stereotyping ; Surveys and Questionnaires
    Language English
    Publishing date 2019-05-10
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1932-6203
    ISSN (online) 1932-6203
    DOI 10.1371/journal.pone.0216625
    Database MEDical Literature Analysis and Retrieval System OnLINE

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