28 research outputs found

    Risks to pollinators and pollination from invasive alien species

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    Invasive alien species modify pollinator biodiversity and the services they provide that underpin ecosystem function and human well-being. Building on the Intergovernmental Science-Policy Platform for Biodiversity and Ecosystem Services (IPBES) global assessment of pollinators and pollination, we synthesize current understanding of invasive alien impacts on pollinators and pollination. Invasive alien species create risks and opportunities for pollinator nutrition, re-organize species interactions to affect native pollination and community stability, and spread and select for virulent diseases. Risks are complex but substantial, and depend greatly on the ecological function and evolutionary history of both the invader and the recipient ecosystem. We highlight evolutionary implications for pollination from invasive alien species, and identify future research directions, key messages and options for decision-making

    Mitochondrial DNA corroborates the species distinctiveness of the Planalto (Thamnophilus pelzelni Hellmayr, 1924) and the Sooretama (T. ambiguus Swainson, 1825) Slaty-antshrikes (Passeriformes: Thamnophilidae)

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    The Thamnophilus punctatus complex has been recently reviewed on the basis of morphological and vocal characters, and is divided in six different species. Two of the new species, although well defined on the basis of morphological differences, could not be unambiguously distinguished through their loudsongs. The Planalto Slaty-antshrike (Thamnophilus pelzelni) and the Sooretama Slaty-antshrike (T. ambiguus) are most easily distinguished by subtle and localized changes in plumage colors of males and females. In the present study we used sequences of the control region, Cytochrome b, and ND2 genes, of the mitochondrial DNA (mtDNA) to evaluate the levels of molecular differentiation between these two species. The mean pairwise distance between the two species was 3.8%, while it varied from 2.7% to 4.9% for each mtDNA region. Although extensive variation was also detected among haplotypes within species, especially for T. ambiguus, we suggest that the genetic divergence found between T. ambiguus and T. pelzelni is high enough to corroborate the separate species status of these two antbird taxa

    Critical evaluation of the potential prognostic value of the pretreatment-derived neutrophil–lymphocyte ratio under consideration of C-reactive protein levels in clear cell renal cell carcinoma

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    BACKGROUND: We investigated the prognostic value of the pretreatment-derived neutrophil–lymphocyte ratio (dNLR) and original NLR in relation to the commonly used inflammation marker C-reactive protein (CRP) in a large cohort of patients with clear cell renal cell carcinoma (RCC). METHODS: Clinicopathological data from 587 consecutive non-metastatic clear cell RCC patients, operated between 2000 and 2010 at a single tertiary academic center, were evaluated retrospectively. Patients were categorised according to a cutoff value derived from receiver operating curve analysis. Overall (OS), cancer-specific (CSS) as well as metastasis-free survival (MFS) were assessed using the Kaplan–Meier method and multivariate Cox proportional models were applied. Spearman's rank correlation coefficient tested the association between dNLR and other markers of the systemic inflammatory response. RESULTS: The significant correlation between pretreatment NLR and dNLR was strong (ρ=0.84), whereas between dNLR and CRP it was weak (ρ=0.18). In multivariate analyses, dNLR achieved independent predictor status regarding CSS (P=0.037) and MFS (P=0.041), whereas CRP was confirmed as independent predictor of OS (P=0.010), CSS (P=0.039) and MFS (P=0.005), respectively. The NLR failed to reach independent predictor status regarding OS, CSS and MFS when CRP was included into the multivariate model. CONCLUSIONS: In the cohort studied, an elevated (⩾10.0) pretreatment CRP level and elevated dNLR (>2) were robust independent predictors of CSS and MFS. Our data suggest that CRP might be superior to both NLR and dNLR
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