Aim: Plants occurring on high-alpine summits are generally expected to persist due to adaptations to extreme selective forces caused by the harshest climates where angiosperm life is known to thrive. We assessed the relative effects of this strong environmental filter and of other historical and stochastic factors driving plant community structure in very high-alpine conditions (up to 4,000m).
Location: European Alps, Écrins National Park, France.
Methods: Using species occurrence data collected from floristic surveys on 15 summits (2,791 m - 4,102 m a.s.l.) throughout the Écrins range, along with existing molecular sequence data obtained from GenBank, we used a mega-phylogenetic approach to evaluate the phylogenetic structure of high-alpine plant species assemblages. We used three nested species pools and two null models to address the importance of species-specific and species-neutral processes for driving coexistence.
Results: Compared to the entire species pool of the study region, alpine summits exhibited a strong signal of phylogenetic clustering. Restricting statistical sampling to environmentally and historically defined species pools reduced the significance of this pattern. However, we could not reject a model that explicitly incorporates neutral colonization and local extinction in shaping community structure for dominant plant orders. Between summits, phylogenetic turnover was generally lower than expected. Environmental drivers did not explain overall phylogenetic patterns, but we found significant geographic and climatic structure in phylogenetic diversity at finer taxonomic scales.
Main Conclusions: Although we found evidence for strong phylogenetic clustering within alpine summits, we were not able to reject models of species-neutral processes to explain patterns of floristic diversity. Our results suggest that plant community structure in high-alpine regions can also be shaped by neutral processes, and not through the sole action of environmental selection as traditionally assumed for harsh and stressful environments.
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http://dx.doi.org/10.1111/jbi.13073 | DOI Listing |
Clin Oral Investig
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Department of Behavioral and Community Dentistry, Institute of Odontology, Sahlgrenska Academy, University of Gothenburg, P.O. Box 450, Gothenburg, SE-40530, Sweden.
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Family and Community Health, Fred N. Binka School of Public Health, University of Health and Allied Sciences, Hohoe, Ghana.
Background: Malaria is a disease deeply rooted in poverty. Malaria in pregnant women leads to severe complications, including low birth weight and neonatal mortality, which can adversely affect both mother and child. This study aimed to identify the factors associated with malaria in pregnancy among women attending antenatal care (ANC) clinics in three districts of the Ashanti Region, Ghana.
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Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation, Taizhou Key Laboratory of Biomedicine and Advanced Dosage Forms, School of Life Sciences, Taizhou University, Taizhou, 318000, Zhejiang Province, China.
The microbiota inhabiting the surface of fish mucosal tissue play important roles in the nutrition, metabolism and immune system of their host. However, most investigations on microbial symbionts have focused on the fish gut, but the microbiota associated with external mucosal tissues (such as the skin and gill) is poorly understood. This study characterised the traits and dynamic of microbial communities associated with the skin, gill and gut of large yellow croaker (Larimichthys crocea) culturing with net enclosures or pens at different sampling times (with seasonal transition).
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Institute of Structural and Molecular Biology, Department of Biological Sciences, Birkbeck College, London, UK; Institute of Structural and Molecular Biology, Division of Biosciences, University College London, London, UK. Electronic address:
Within both abiotic and host environments, bacteria typically exist as diverse, multispecies communities and have crucial roles in human health, agriculture, and industry. In these communities, bacteria compete for resources, and these competitive interactions can shape the overall population structure and community function. Studying bacterial community dynamics requires experimental model systems that capture the different interaction networks between bacteria and their surroundings.
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