Fungal community composition predicts forest carbon storage at a continental scale.

Forest soils harbor hyper-diverse microbial communities which fundamentally regulate carbon and nutrient cycling across the globe. Directly testing hypotheses on how microbiome diversity is linked to forest carbon storage has been difficult, due to a lack of paired data on microbiome diversity and in situ observations of forest carbon accumulation and storage. Here, we investigated the relationship between soil microbiomes and forest carbon across 238 forest inventory plots spanning 15 European countries. We show that the composition and diversity of fungal, but not bacterial, species is tightly coupled to both forest biotic conditions and a seven-fold variation in tree growth rates and biomass carbon stocks when controlling for the effects of dominant tree type, climate, and other environmental factors. This linkage is particularly strong for symbiotic endophytic and ectomycorrhizal fungi known to directly facilitate tree growth. Since tree growth rates in this system are closely and positively correlated with belowground soil carbon stocks, we conclude that fungal composition is a strong predictor of overall forest carbon storage across the European continent.

Forest tree growth is linked to mycorrhizal fungal composition and function across Europe.

Most trees form symbioses with ectomycorrhizal fungi (EMF) which influence access to growth-limiting soil resources. Mesocosm experiments repeatedly show that EMF species differentially affect plant development, yet whether these effects ripple up to influence the growth of entire forests remains unknown. Here we tested the effects of EMF composition and functional genes relative to variation in well-known drivers of tree growth by combining paired molecular EMF surveys with high-resolution forest inventory data across 15 European countries. We show that EMF composition was linked to a three-fold difference in tree growth rate even when controlling for the primary abiotic drivers of tree growth. Fast tree growth was associated with EMF communities harboring high inorganic but low organic nitrogen acquisition gene proportions and EMF which form contact versus medium-distance fringe exploration types. These findings suggest that EMF composition is a strong bio-indicator of underlying drivers of tree growth and/or that variation of forest EMF communities causes differences in tree growth. While it may be too early to assign causality or directionality, our study is one of the first to link fine-scale variation within a key component of the forest microbiome to ecosystem functioning at a continental scale.

Author Correction: Environment and host as large-scale controls of ectomycorrhizal fungi.

Change history: In the HTML version of this Article, author 'Filipa Cox' had no affiliation in the author list, although she was correctly associated with affiliation 3 in the PDF. In addition, the blue circles for 'oak' were missing from Extended Data Fig. 1. These errors have been corrected online.

Environment and host as large-scale controls of ectomycorrhizal fungi.

Explaining the large-scale diversity of soil organisms that drive biogeochemical processes-and their responses to environmental change-is critical. However, identifying consistent drivers of belowground diversity and abundance for some soil organisms at large spatial scales remains problematic. Here we investigate a major guild, the ectomycorrhizal fungi, across European forests at a spatial scale and resolution that is-to our knowledge-unprecedented, to explore key biotic and abiotic predictors of ectomycorrhizal diversity and to identify dominant responses and thresholds for change across complex environmental gradients. We show the effect of 38 host, environment, climate and geographical variables on ectomycorrhizal diversity, and define thresholds of community change for key variables. We quantify host specificity and reveal plasticity in functional traits involved in soil foraging across gradients. We conclude that environmental and host factors explain most of the variation in ectomycorrhizal diversity, that the environmental thresholds used as major ecosystem assessment tools need adjustment and that the importance of belowground specificity and plasticity has previously been underappreciated.

Development of a high-resolution NGS-based HLA-typing and analysis pipeline.

The human leukocyte antigen (HLA) complex contains the most polymorphic genes in the human genome. The classical HLA class I and II genes define the specificity of adaptive immune responses. Genetic variation at the HLA genes is associated with susceptibility to autoimmune and infectious diseases and plays a major role in transplantation medicine and immunology. Currently, the HLA genes are characterized using Sanger- or next-generation sequencing (NGS) of a limited amplicon repertoire or labeled oligonucleotides for allele-specific sequences. High-quality NGS-based methods are in proprietary use and not publicly available. Here, we introduce the first highly automated open-kit/open-source HLA-typing method for NGS. The method employs in-solution targeted capturing of the classical class I (HLA-A, HLA-B, HLA-C) and class II HLA genes (HLA-DRB1, HLA-DQA1, HLA-DQB1, HLA-DPA1, HLA-DPB1). The calling algorithm allows for highly confident allele-calling to three-field resolution (cDNA nucleotide variants). The method was validated on 357 commercially available DNA samples with known HLA alleles obtained by classical typing. Our results showed on average an accurate allele call rate of 0.99 in a fully automated manner, identifying also errors in the reference data. Finally, our method provides the flexibility to add further enrichment target regions.

Clinical manifestations and outcomes of severe malaria among children admitted at Rungwe and Kyela district hospitals in south-western Tanzania.

Malaria remains as an important public health and a major cause of childhood death and paediatric hospital admission in sub-Saharan Africa. This prospective hospital based cross sectional study was conducted from April 2007 to April 2008. The main objective was to assess clinical manifestations and outcomes of severe malaria in children admitted to district hospital in Rungwe and Kyela in south-western Tanzania. A total of 1371 children were selected as screening group of which 409 (29.8%) were tested positive for malaria. Mean age of the children was 2.7 (95%CI= 2.5, 2.8) years and the majority (86%) were under five years of age. The proportion of children severe malaria in Rungwe was significantly higher than that of Kyela by 21.3% (P=0.002). The common symptoms of severe malaria during admission were convulsions (50.9%) compensated shock (30.6%), prostration (29.1%) and symptomatic severe anaemia (14.9%). The case fatality rate (CFR) was 4.6% and the cure rate (CR) was 95.4%. Children with suspected severe acidosis and symptomatic severe anemia were 4.8 (95%CI=1.6, 14.6) and 5.5 (95%CI 1.1, 28.2), respectively, more likely to die compared to those without these symptoms. The proportion of deaths among children presenting ≥5 symptoms was 32.1% higher than among those presenting one symptom (OR =0.50, 95%CI 0.125-2.000; P=0.000). Convulsions and compensated shock were the leading symptoms at admission. Suspected severe acidosis and symptomatic severe anemia were the predictors of mortality for children. In order to reduce mortality among admitted children with severe malaria there is a need for health providers to deploy strategic management of fatal prognostic factors. In conclusion, convulsion and compensated shock were the leading symptoms among children at admission and that suspected severe acidosis and symptomatic severe anemia were the predictors of mortality. It is therefore important to emphasis early diagnosis and prompt treatment of severe cases of malaria to minimize mortality among children.

Clinical Manifestations and Outcomes of Severe Malaria among Children Admitted to Rungwe and Kyela District Hospitals in South-Western Tanzania

Abstract:Malaria remains as an important public health and a major cause of childhood death and paediatric hospital admission in sub-Saharan Africa. This prospective hospital based cross sectional study was conducted from April 2007 to April 2008. The main objective was to assess clinical manifestations and outcomes of severe malaria in children admitted to district hospital in Rungwe and Kyela in south-western Tanzania. A total of 1371 children were selected as screening group of which 409 (29.8) were tested positive for malaria. Mean age of the children was 2.7 (95CI= 2.5; 2.8) years and the majority (86) were under five years of age. The proportion of children severe malaria in Rungwe was significantly higher than that of Kyela by 21.3 (P=0.002). The common symptoms of severe malaria during admission were convulsions (50.9) compensated shock (30.6); prostration (29.1) and symptomatic severe anaemia (14.9). The case fatality rate (CFR) was 4.6 and the cure rate (CR) was 95.4. Children with suspected severe acidosis and symptomatic severe anemia were 4.8 (95CI=1.6; 14.6) and 5.5 (95CI 1.1; 28.2); respectively; more likely to die compared to those without these symptoms. The proportion of deaths among children presenting ?5 symptoms was 32.1 higher than among those presenting one symptom (OR =0.50; 95CI 0.125-2.000; P=0.000). Convulsions and compensated shock were the leading symptoms at admission. Suspected severe acidosis and symptomatic severe anemia were the predictors of mortality for children. In order to reduce mortality among admitted children with severe malaria there is a need for health providers to deploy strategic management of fatal prognostic factors. In conclusion; convulsion and compensated shock were the leading symptoms among children at admission and that suspected severe acidosis and symptomatic severe anemia were the predictors of mortality. It is therefore important to emphasis early diagnosis and prompt treatment of severe cases of malaria to minimize mortality among children