Trait-based approaches to predicting biological control success: challenges and prospects

Identifying traits that are associated with success of introduced natural enemies in establishing and controlling pest insects has occupied researchers and biological control practitioners for decades. Unfortunately, consistent general relationships have been difficult to detect, preventing a priori ranking of candidate biological control agents based on their traits. We summarise previous efforts and propose a series of potential explanations for the lack of clear patterns. We argue that the quality of current datasets is insufficient to detect complex trait–efficacy relationships and suggest several measures by which current limitations may be overcome. We conclude that efforts to address this elusive issue have not yet been exhausted and that further explorations are likely to be worthwhile.     

Genomic approaches to fungal pathogenicity

Within a few years, the genome sequences of a large number of medically and agriculturally important fungi will be known. With this resource come the promises of genomic approaches to study pathogenicity and host-fungus interactions. Genomics is particularly attractive for these questions, as conventional genetic and biochemical approaches are limited in many pathogenic fungi. Recent work has applied signature-tagged mutagenesis and DNA microarray analysis to virulence studies in several fungal species, and novel approaches, such as protein arrays and genomic deletion libraries, are being developed in Saccharomyces cerevisiae and have significant potential in other fungi. High-throughput gene-discovery approaches should greatly increase our understanding of fungal pathogenesis.     

Trait-based approaches to conservation physiology: forecasting environmental change risks from the bottom up

Trait-based approaches have long been a feature of physiology and of ecology. While the latter fields drifted apart in the twentieth century, they are converging owing at least partly to growing similarities in their trait-based approaches, which have much to offer conservation biology. The convergence of spatially explicit approaches to understanding trait variation and its ecological implications, such as encapsulated in community assembly and macrophysiology, provides a significant illustration of the similarity of these areas. Both adopt trait-based informatics approaches which are not only providing fundamental biological insights, but are also delivering new information on how environmental change is affecting diversity and how such change may perhaps be mitigated. Such trait-based conservation physiology is illustrated here for each of the major environmental change drivers, specifically: the consequences of overexploitation for body size and physiological variation; the impacts of vegetation change on thermal safety margins; the consequences of changing net primary productivity and human use thereof for physiological variation and ecosystem functioning; the impacts of rising temperatures on water loss in ectotherms; how hemisphere-related variation in traits may affect responses to changing rainfall regimes and pollution; and how trait-based approaches may enable interactions between climate change and biological invasions to be elucidated.     

Growth of Geobacter sulfurreducens under nutrient-limiting conditions in continuous culture

A system for growing Geobacter sulfurreducens under anaerobic conditions in chemostats was developed in order to study the physiology of this organism under conditions that might more closely approximate those found in the subsurface than batch cultures. Geobacter sulfurreducens could be cultured under acetate-limiting conditions with fumarate or Fe(III)-citrate as the electron acceptor at growth rates between 0.04 and 0.09 h(-1). The molar growth yield was threefold higher with fumarate as the electron acceptor than with Fe(III), despite the lower mid-point potential of the fumarate/succinate redox couple. When growth was limited by availability of fumarate, high steady-state concentrations were detected, suggesting that fumarate is unlikely to be an important electron acceptor in sedimentary environments. The half-saturation constant, Ks, for acetate in Fe(III)-grown cultures (10 microM) suggested that the growth of Geobacter species is likely to be acetate limited in most subsurface sediments, but that when millimolar quantities of acetate are added to the subsurface in order to promote the growth of Geobacter for bioremediation applications, this should be enough to overcome any acetate limitations. When the availability of electron acceptors, rather than acetate, limited growth, G. sulfurreducens was less efficient in incorporating acetate into biomass but had higher respiration rates, a desirable physiological characteristic when adding acetate to stimulate the activity of Geobacter species during in situ uranium bioremediation. These results demonstrate that the ability to study the growth of G. sulfurreducens under steady-state conditions can provide insights into its physiological characteristics that have relevance for its activity in a diversity of sedimentary environments.     

New approaches to augment fungal biotransformation

The possibility of using solid supports and intermittent substrate feeding to manipulate biotransformation by fungi was examined, with amoxapine as a model compound. Cunninghamella elegans ATCC 8688a grown as free cells in six-well plates showed 7-hydroxyamoxapine as the major metabolite of amoxapine biotransformation. However, when cells were grown in the presence of activated carbon, N-formyl-7-hydroxyamoxapine was formed as the major metabolite. Intermittent feeding of amoxapine also favored the formation of N-formyl-7-hydroxyamoxapine.     

Trait-based approach to bacterial growth efficiency

Bacterial growth efficiency (BGE) is the proportion of assimilated carbon that is converted into biomass and reflects the balance between growth and energetic demands. Often measured as an aggregate property of the community, BGE is highly variable within and across ecosystems. To understand this variation, we first identified how species identity and resource type affect BGE using 20 bacterial isolates belonging to the phylum Proteobacteria that were enriched from north temperate lakes. Using a trait-based approach that incorporated genomic and phenotypic information, we characterized the metabolism of each isolate and tested for predicted trade-offs between growth rate and efficiency. A substantial amount of variation in BGE could be explained at broad (i.e., order, 20%) and fine (i.e., strain, 58%) taxonomic levels. While resource type was a relatively weak predictor across species, it explained >60% of the variation in BGE within a given species. A metabolic trade-off (between maximum growth rate and efficiency) and genomic features revealed that BGE may be a species-specific metabolic property. Our study suggests that genomic and phylogenetic information may help predict aggregate microbial community functions like BGE and the fate of carbon in ecosystems.     

The population ecology of contemporary adaptations: what empirical studies reveal about the conditions that promote adaptive evolution

Genetica - Under what conditions might organisms be capable of rapid adaptive evolution? We reviewed published studies documenting contemporary adaptations in natural populations and looked for...     

Survival of parental and genetically modified derivatives of a soil isolated Pseudomonas fluorescens under nutrient-limiting conditions

Wild type, a rifampicin-resistant mutant and three genetically modified derivatives of the soil isolate Pseudomonas fluorescens R2f were starved in pure cultures for periods of up to 70 d. Cells were starved after harvesting at a point early in the stationary phase of the growth curve and all five strains demonstrated the ability to survive nutrient deprivation and resuscitate rapidly when growth nutrients became available. No difference in total counts and metabolic activity was detected between the strains. Plate counts were similar for all strains up to day 35. Wild type and the rifampicin-resistant mutant strain showed greater recovery than the genetically modified strains on day 70. During the starvation period there was a significant decrease in cell lengths of all five strains, however, there was no significant difference between the strains. The shape of the starved cells varied with the growth phase at which they had been harvested. Cells taken from early stationary phase and starved produced predominantly rod-shaped cells whereas those taken from early log phase and starved produced small round cells. In experiments when the rifampicin-resistant mutant and the genetically modified strain Art-3 were starved at early log phase the cells were significantly smaller than respective cultures not exposed to the nutrient limiting conditions, and there was no significant difference in the response of the two strains. None of the cultures produced ultramicrobacteria, and none of the cultures entered a non-culturable state. Starvation at different cell densities did not affect the recoverability of the cells. The results of this study demonstrate that responses to starvation conditions by the genetically modified and parental strains are similar.     

Phylogenomics reveal a robust fungal tree of life

Our understanding of the tree of life (TOL) is still fragmentary. Until recently, molecular phylogeneticists have built trees based on ribosomal RNA sequences and selected protein sequences, which, however, usually suffered from lack of support for the deeper branches and inconsistencies probably due to limited subsampling of the entire genome. Now, phylogenetic hypotheses can be based on the analysis of full genomes. We used available complete genome data as well as the eukaryote orthologous group (KOG) proteins to reconstruct with confidence basal branches of the fungal TOL. Phylogenetic analysis of a core of 531 KOGs shared among 21 fungal genomes, three animal genomes and one plant genome showed a single tree with high support resulting from four different methods of phylogenetic reconstruction. The single tree that we inferred from our dataset showed excellent nodal support for each branch, suggesting that it reflects the true phylogenetic relationships of the species involved.     

Light-harvesting adaptations of planktonic phototrophic micro-organisms to different light quality conditions

The effects of light spectral distribution on the composition of phototrophic microbial communities were analyzed in three metalimnetic levels (relative depth positions) of 41 lakes. Principal Component Analysis was used to compare light quality conditions reaching the populations of phototrophic micro-organisms containing different photosynthetic pigments. Results allowed to identify the optimal light quality conditions for the selection of each microbial group at their respective levels. Two general light-harvesting adaptations were defined, according to the wavebands that could be related to the selection of these microbial groups. The micro-organisms adapted to use red and near-infrared light – eukaryotic phytoplankton, Chloronema spp. and green-coloured Chlorobiaceae – predominated at shallow depths (specially in waters containing high gilvin contents) using their respective Q_y absorption bands. The micro-organisms adapted to green-yellow light – phycoerythrin-containing cyanobacteria, Chromatiaceae and brown-coloured Chlorobiaceae – were dominant in deep metalimnetic communities. Laboratory experiments with cultures of Chlorobium limicola and C. phaeobacteroides growing under different light quality conditions showed that the green-coloured species had higher photosynthetic activity under red light, while the brown-coloured species was more active under green light. These results demonstrated that physiological differences between micro-organisms with different light-harvesting adaptations are responsible of their selection under different light quality conditions. This selection is experimented by Chlorobiaceae (as it was previously indicated by other investigators) at the deepest positions of the metalimnetic communities (level 3), but also by Chromatiaceae and Chloronema spp. at level 2 and by the eukaryotic phytoplankton and cyanobacteria at level 1.     

An evaluation of semiautomatic approaches to contour segmentation applied to fungal hyphae

Semiautomatic image analysis techniques are particularly useful in biological applications, which commonly generate very complex images, and offer considerable flexibility. However, systematic study of such methods is lacking; most research develops fully automatic algorithms. This paper describes a study to evaluate several different semiautomatic or computer-assisted approaches to contour segmentation within the context of segmenting degraded images of fungal hyphae. Four different types of contour segmentation method, with varying degrees and types of user input, are outlined and applied to hyphal images. The methods are evaluated both quantitatively and qualitatively by comparing results obtained by several test subjects segmenting simulated images qualitatively similar to the hyphal images of interest. An active contour model approach, using control points, emerges as the method to be preferred to three more traditional approaches. Feedback from the image provider indicates that any of the methods described have something useful to offer for segmentation of hyphae.     

Uniting species- and community-oriented approaches to understand arbuscular mycorrhizal fungal diversity

Arbuscular mycorrhizal fungi (AMF) occur in the majority of terrestrial, and some aquatic, habitats worldwide. They are important for the functioning of individual plants and of entire ecosystems. Here, we review trends in research on species- (species recognition, phylogenetic relationships, autecology) and community-level AMF diversity patterns and aim to identify ways of improving the complementarity of these approaches. Research into many aspects of AMF diversity has flourished in parallel with the increasing availability of molecular biology techniques. However, despite their shared goal of understanding AMF biodiversity, species- and community-level perspectives, and the morphological and molecular approaches that underpin them, currently have limited capacity for information exchange. We indicate critical research gaps in AMF species and community characterisation and outline important research directions. We propose steps that could link research using different methods and targeting different aspects of diversity, in order to maximise our understanding of AMF.     

Pan-cancer analyses reveal cancer-type-specific fungal ecologies and bacteriome interactions

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Studying fungal pathogens of humans and fungal infections: fungal diversity and diversity of approaches

Seminal work by Louis Pasteur revealed the contribution of fungi – yeasts and microsporidia to agroindustry and disease in animals, respectively. More than 150 years later, the impact of fungi on human health and beyond is an ever-increasing issue, although often underestimated. Recent studies estimate that fungal infections, especially those caused by Candida, Cryptococcus and Aspergillus species, kill more than one million people annually. Indeed, these neglected infections are in general very difficult to cure and the associated mortality remains very high even when antifungal treatments exist. The development of new antifungals and diagnostic tools that are both necessary to fight fungal diseases efficiently, requires greater insights in the biology of the fungal pathogens of humans in the context of the infection, on their epidemiology, and on their role in the human mycobiota. We also need a better understanding of the host immune responses to fungal pathogens as well as the genetic basis for the increased sensitivity of some individuals to fungal infections. Here, we highlight some recent progress made in these different areas of research, in particular based on work conducted in our own laboratories. These progresses should lay the ground for better management of fungal infections, as they provide opportunities for better diagnostic, vaccination, the development of classical antifungals but also strategies for targeting virulence factors or the host.     

Taxonomic and functional approaches reveal different responses of ant assemblages to land-use changes

Land-use change is well documented to cause species loss. However, our understanding of the effects of land-use change on other aspects of biodiversity is still limited. We evaluated if different land-use changes (Eucalyptus plantation and planted pasture) affect ant species and functional groups in similar ways across three Cerrado vegetation types (grassland, savanna and savanna-forest). We found that ant species and functional responses differed with land-use change in relation to frequency of occurrence and habitat specificity and fidelity. Land-use change affected species frequency of occurrence but not functional groups, indicating that species are more sensitive than functional groups to habitat transformation. Native habitats had different indicator species and functional groups compared with converted habitats. However, we did not find functional group indicators of converted habitats in any vegetation type; indicating that there is no specificity and fidelity of functional group to converted habitats and that such an approach is less sensitive to land-use changes. In savanna and savanna-forest, species and functional groups showed the same response in relation to composition with differences between native and converted habitats. Thus, functional groups will be lost when ant species are lost. In grasslands, functional group composition was similar between native and converted habitats indicating a turnover of species within functional groups. We demonstrate that both Eucalyptus plantation and planted pasture affect ant species and functional groups in different ways, with negative impacts both taxonomically and less so functionally. Therefore, we show that the two aspects of biodiversity can respond independently to land-use changes and, hence, the importance of using both taxonomic and functional group approaches to evaluate the effects of land-use change on biodiversity in savanna systems.     

Combined approaches to reveal genes associated with litter size in Yunshang black goats

Intensive artificial selection has been imposed in Yunshang black goats, the first black specialist mutton goat breed in China, with a breeding object of improving reproductive performance, which has contributed to reshaping of the genome including the characterization of SNP, ROH and haplotype. However, variation in reproductive ability exists in the present population. A WGS was implemented in two subpopulations (polytocous group, PG, and monotocous group, MG) with evident differences of litter size. Following the mapping to reference genome, and SNP calling and pruning, three approaches – GWAS, ROH analysis and detection of signatures of selection – were employed to unveil candidate genes responsible for litter size. Consequently, 12 candidate genes containing OSBPL8 with the minimum P-value were uncovered by GWAS. Differences were observed in the pattern of ROH between two subpopulations that shared similar low inbreeding coefficients. Two ROH hotspots and 12 corresponding genes emerged from ROH pool association analysis. Based on the nS_L statistic, 15 and 61 promising genes were disclosed under selection for MG and PG respectively. Of them, some promising genes participate in ovarian function (PPP2R5C, CDC25A, ESR1, RPS26 and SERPINBs), seasonal reproduction (DIO3, BTG1 and CRYM) and metabolism (OSBPL8, SLC39A5 and SERPINBs). Our study pinpointed some novel promising genes influencing litter size, provided a comprehensive insight into genetic makeup of litter size and might facilitate selective breeding in goats.     

高通量测序分析云南腾冲热海热泉真菌多样性

【目的】本研究揭示云南腾冲热海热泉真菌多样性及群落分布格局,探讨其理化因子对真菌群落结构的影响。【方法】利用Illumina Hi Seq2500高通量测序平台对腾冲热海热泉沉积物宏基因组ITS基因进行测序,并进行生物信息分析。【结果】从5个热泉样品中共检测到343484条有效序列,包括5个真菌门,20个纲,66个目。右姐妹泉(JMQR)、左姐妹泉(JMQL)、蛤蟆嘴泉(M)、桥泉(QQ)及鼓明泉(GMQP)分别以Agaricales、Eurotiales、Capnodiales和Hypocreales等为优势目。在属水平上,共获得365个属,从JMQR中检测到212个属,以裂褶菌属(Schizophyllum)为最优势;从JMQL中挖掘到197个属,以青霉属(Penicillium)为最优势类群;从M和QQ中分别获得222个和270个属,均以枝孢属(Cladosporium)为最优势;从GMQP中发现179个属,以侧齿霉属(Engyodontium)丰度最高。NH4+含量、温度及pH影响不同优势真菌的分布,其中以pH与优势类群(OTU1%)结构变化显著性最高(P=0.05)。【结论】云南腾冲热海高温热泉蕴藏着极其丰富的真菌物种,其不同样品真菌分布具有差异性,pH可能是影响热泉真菌群落分布的重要因素之一。