Climate change impacts and microbial controls on northern peatland nitrogen cycling

Aerts, M.A.P.A. [Promotor]Kowalchuk, G.A. [Promotor]Bodegom, P.M. van [Copromotor

The Wellesley News (12-01-1966)

https://repository.wellesley.edu/wcnews/1090/thumbnail.jp

Meta-analysis of type 2 Diabetes in African Americans Consortium

Type 2 diabetes (T2D) is more prevalent in African Americans than in Europeans. However, little is known about the genetic risk in African Americans despite the recent identification of more than 70 T2D loci primarily by genome-wide association studies (GWAS) in individuals of European ancestry. In order to investigate the genetic architecture of T2D in African Americans, the MEta-analysis of type 2 DIabetes in African Americans (MEDIA) Consortium examined 17 GWAS on T2D comprising 8,284 cases and 15,543 controls in African Americans in stage 1 analysis. Single nucleotide polymorphisms (SNPs) association analysis was conducted in each study under the additive model after adjustment for age, sex, study site, and principal components. Meta-analysis of approximately 2.6 million genotyped and imputed SNPs in all studies was conducted using an inverse variance-weighted fixed effect model. Replications were performed to follow up 21 loci in up to 6,061 cases and 5,483 controls in African Americans, and 8,130 cases and 38,987 controls of European ancestry. We identified three known loci (TCF7L2, HMGA2 and KCNQ1) and two novel loci (HLA-B and INS-IGF2) at genome-wide significance (4.15 × 10(-94)<P<5 × 10(-8), odds ratio (OR)  = 1.09 to 1.36). Fine-mapping revealed that 88 of 158 previously identified T2D or glucose homeostasis loci demonstrated nominal to highly significant association (2.2 × 10(-23) < locus-wide P<0.05). These novel and previously identified loci yielded a sibling relative risk of 1.19, explaining 17.5% of the phenotypic variance of T2D on the liability scale in African Americans. Overall, this study identified two novel susceptibility loci for T2D in African Americans. A substantial number of previously reported loci are transferable to African Americans after accounting for linkage disequilibrium, enabling fine mapping of causal variants in trans-ethnic meta-analysis studies.Peer reviewe

TRY plant trait database – enhanced coverage and open access

Plant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits—almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

Decomposition trajectories of diverse litter types: a model selection analysis

Summary: Decomposition of plant litter is a key process in the global carbon cycle, and its realistic representation is essential for accurate prediction of ecosystem carbon and nutrient dynamics. Traditionally, the exponential decay model, which assumes a constant relative decomposition rate through time, has been widely used for both the analysis of empirical data and large-scale modelling. While this model may be adequate in some contexts, there are also many empirical observations for which it does not fit the data well. Using a number of previously published leaf and wood decomposition data sets, comprising a diverse selection of litters, we compared the performance of five simple decay models varying in complexity and functional form. To accomplish this, we used a combination of model selection criteria and out-of-sample extrapolation analyses. Model selection criteria favoured an optimal balance between parsimony and flexibility, and a rarely used model built on the Weibull distribution proved to have sufficient flexibility to fit the full range of decomposition trajectories including litters that show an initial lag phase. Using the Weibull fits, we further showed that the litter N content affects the shape of the decomposition trajectory, a novel biological result. Out-of-sample extrapolation showed biased predictions for all models and estimates of steady-state stocks were often highly sensitive to model choice. As the field moves beyond the single-pool exponential framework, it is useful to confront alternate models with data from a wide array of litter types. This analysis demonstrates that model flexibility is important for representing the wide array of possible decomposition dynamics encountered in nature, with lag phase dynamics more widespread than previously thought. Out-of-sample extrapolation and derived parameters that rely on it remain problematic with all tested models. Progress in understanding the drivers and consequences of litter decomposition will come from combining empirical approaches with more focused process-based modelling that allow for the assessment of alternative model assumptions. © 2013 British Ecological Society

Compositional Stability of the Bacterial Community in a Climate-Sensitive Sub-Arctic Peatland

Conservation Biolog

Temperature sensitivity of peatland C and N cycling: does substrate supply play a role?

Northern peatlands constitute an important component of the global carbon (C) cycle due to their long-term accumulation of soil organic matter. This function as a carbon sink is partly dependent on low temperatures limiting decomposition and nutrient cycling, so global warming has the potential to alter the C balance of these systems and feedback to climate change. Field observations have shown that peatland organic matter decomposition, ecosystem respiration and nitrogen cycling are closely related processes that show a large degree of temperature sensitivity. In the current study, we investigated whether seasonal dynamics of substrate input may be an indirect mechanism accounting for this observed sensitivity. We carried out a 60-day mesocosm incubation experiment with sub-arctic peat soil to compare the direct effects of temperature increase with the indirect effects of increased microbial- or plant-derived organic matter input on key soil C and N cycling processes and substrate pools. Additions of dead microbial cells led to an 83% increase in organic N pool sizes, 16-64% increases in the potential activities of most soil enzymes, a transient increase in the relative abundance of β-proteobacteria, and a decrease in the relative abundance of α-proteo-, Actino- and Acido-bacteria. Neither the addition of plant root litter, nor a 5 °C alteration in incubation temperatures, had comparable effects on these parameters. Peat respiration was positively affected by both substrate addition (20-46% increase) and higher incubation temperatures (34-38% increase), but the temperature-only effect was not sufficient to account for the increases in respiration observed in field experiments. Thus, it appears that warming effects on C and N cycle processes can potentially be driven by indirect effects, with alterations to the seasonal flux of microbe-derived organic matter a particularly potent mechanism. The high temperature sensitivity of decomposition and respiration may therefore be largely a result of warming-induced changes in substrate supply rates. We propose that climate change models of soil carbon and nitrogen cycling should seek to incorporate realistic microbial biomass dynamics. © 2013 Elsevier Ltd

A frozen feast: thawing permafrost increases plant-available nitrogen in subarctic peatlands

Many of the world's northern peatlands are underlain by rapidly thawing permafrost. Because plant production in these peatlands is often nitrogen (N)-limited, a release of N stored in permafrost may stimulate net primary production or change species composition if it is plant-available. In this study, we aimed to quantify plant-available N in thawing permafrost soils of subarctic peatlands. We compared plant-available N-pools and -fluxes in near-surface permafrost (0-10 cm below the thawfront) to those taken from a current rooting zone layer (5-15 cm depth) across five representative peatlands in subarctic Sweden. A range of complementary methods was used: extractions of inorganic and organic N, inorganic and organic N-release measurements at 0.5 and 11 °C (over 120 days, relevant to different thaw-development scenarios) and a bioassay with Poa alpina test plants. All extraction methods, across all peatlands, consistently showed up to seven times more plant-available N in near-surface permafrost soil compared to the current rooting zone layer. These results were supported by the bioassay experiment, with an eightfold larger plant N-uptake from permafrost soil than from other N-sources such as current rooting zone soil or fresh litter substrates. Moreover, net mineralization rates were much higher in permafrost soils compared to soils from the current rooting zone layer (273 mg N