Evolutionary relationships of human populations on a global scale

Using gene frequency data for 29 polymorphic loci (121 alleles), we conducted a phylogenetic analysis of 26 representative populations from around the world by using the neighbor-joining (NJ) method. We also conducted a separate analysis of 15 populations by using data for 33 polymorphic loci. These analyses have shown that the first major split of the phylogenetic tree separates Africans from non-Africans and that this split occurs with a 100% bootstrap probability. The second split separates Caucasian populations from all other non-African populations, and this split is also supported by bootstrap tests. The third major split occurs between Native American populations and the Greater Asians that include East Asians (mongoloids), Pacific Islanders, and Australopapuans (native Australians and Papua New Guineans), but Australopapuans are genetically quite different from the rest of the Greater Asians. The second and third levels of population splitting are quite different from those of the phylogenetic tree obtained by Cavalli- Sforza et al. (1988), where Caucasians, Northeast Asians, and Ameridians from the Northeurasian supercluster and the rest of non- Africans form the Southeast Asian supercluster. One of the major factors that caused the difference between the two trees is that Cavalli-Sforza et al. used unweighted pair-group method with arithmetic mean (UPGMA) in phylogenetic inference, whereas we used the NJ method in which evolutionary rate is allowed to vary among different populations. Bootstrap tests have shown that the UPGMA tree receives poor statistical support whereas the NJ tree is well supported. Implications that the phylogenetic tree obtained has on the current controversy over the out-of-Africa and the multiregional theories of human origins are discussed.      

Evolution and virulence of serogroup 6 pneumococci on a global scale

To study the evolution and virulence of pneumococcal populations, we used multilocus sequence typing to identify the major clones among 212 carriage and invasive isolates expressing capsular serogroup 6 from 39 countries. The global population consisted of 8 major complexes and 6 minor complexes of related clones and 32 clones of diverse origin. Surprisingly, serotype 6A clones evolved by mutation nearly as often as by recombination, whereas serotype 6B clones evolved almost exclusively by recombination (P = 0.0029). This is the first report of population genetic differences among serotypes of this species. The largest clonal complex was associated with invasive disease (P = 0.019) and included a common ancestor for five previously identified drug-resistant clones. The putative ancestors of the major clonal complexes were represented by a greater proportion of carriage isolates than were their descendents (P = 0.001), and the ancestors tended to be less virulent than their descendents in a mouse model of infection. These data suggested that virulent serogroup 6 clones have evolved multiple times from less-virulent ancestral clones.     

A comprehensive census of lake microbial diversity on a global scale

Despite recent interest in microbial diversity and community structure of lakes across various spatial scales, a global biogeographic distribution pattern and its controlling factors have not been fully disclosed. Here, we compiled and analyzed 88,334,735 environmental 16S rRNA sequences from 431 lakes across a wide range of geographical distance and environmental conditions(in particular, salinity, 0–373.3 gL~(–1)). Our results showed that lake sediments inhabit significantly(ANOVA: P0.001) more diverse microbial communities than lake waters. Non-metric dimensional scaling(NMDS) ordinations indicated that microbial community compositions differed distinctly among sample types(freshwater vs. saline, water vs. sediment) and geographic locations. Mantel and partial Mantel tests showed that microbial community composition in lake water was significantly(P=0.001) correlated with geographic distance, salinity, and pH. Statistical analyses based on neutral community and null models indicated that stochastic processes may play predominant roles in shaping the microbial biogeographic distribution patterns in the studied global lake waters. The dispersal-related stochasticity(e.g., homogenizing dispersal) exhibited a stronger influence on the distribution of microbial community in freshwater lakes than in saline lakes. Overall, this work expands our understanding of the impact of geographic distance, environmental conditions, and stochastic processes on microbial distribution in global lakes.     

Thinking at the global scale

The noosphere concept was originally proposed as a sphere of mind or thought that has emerged from the biosphere over the course of human evolution. Two versions of the noosphere concept were developed in the 20th century and they differed with respect to whether the noosphere was to be considered separate from the biosphere or a new form of the biosphere. Both versions shared an assumption that collective human thought based on a scientific epistemology would achieve a benevolent relationship with the biosphere. Research in global ecology continues to reveal the growing influence of humanity on the biota and on the global biogeochemical cycles, but recent history has not confirmed humanity's ability to self‐regulate. Nevertheless, the noosphere concept remains useful because it acknowledges the uniquely subjective aspect of human brain functioning and the propensity for humans to share ideas and work collaboratively. Both of these features will be needed to develop a structured coupling of humanity and the biosphere that preserves the biophysical processes sustaining the ecosphere.     

Principles for life cycle inventories of land use on a global scale

Purpose

To assess the diverse environmental impacts of land use, a standardization of quantifying land use elementary flows is needed in life cycle assessment (LCA). The purpose of this paper is to propose how to standardize the land use classification and how to regionalize land use elementary flows.

Materials and methods

In life cycle inventories, land occupation and transformation are elementary flows providing relevant information on the type and location of land use for land use impact assessment. To find a suitable land use classification system for LCA, existing global land cover classification systems and global approaches to define biogeographical regions are reviewed.

Results and discussion

A new multi-level classification of land use is presented. It consists of four levels of detail ranging from very general global land cover classes to more refined categories and very specific categories indicating land use intensities. Regionalization is built on five levels, first distinguishing between terrestrial, freshwater, and marine biomes and further specifying climatic regions, specific biomes, ecoregions and finally indicating the exact geo-referenced information of land use. Current land use inventories and impact assessment methods do not always match and hinder a comprehensive assessment of land use impact. A standardized definition of land use types and geographic location helps to overcome this gap and provides the opportunity to test the optimal resolution of land cover types and regionalization for each impact pathway.

Conclusions and recommendation

The presented approach provides the necessary flexibility to providers of inventories and developers of impact assessment methods. To simplify inventories and impact assessment methods of land use, we need to find archetypical situations across impact pathways, land use types and regions, and aggregate inventory entries and methods accordingly.

     

Conference and workshop on modelling global land use implications in the environmental assessment of biofuels

Background, Aims and Scope  On 4–5 June 2007, an international conference was held in Copenhagen. It provided an interdisciplinary forum where economists and geographers met with LCA experts to discuss the challenges of modelling the ultimate land use changes caused by an increased demand for biofuels. Main Features  The main feature of the conference was the cross-breeding of experience from the different approaches to land use modelling: The field of LCA could especially benefit from economic modelling in the identification of marginal crop production and the resulting expansion of the global agricultural area. Furthermore, the field of geography offers insights in the complexity behind new land cultivation and practical examples of where this is seen to occur on a regional scale. Results  Results presented at the conference showed that the magnitude and location of land use changes caused by biofuels demand depend on where the demand arises. For instance, mandatory blending in the EU will increase land use both within and outside of Europe, especially in South America. A key learning for the LCA society was that the response to a change in demand for a given crop is not presented by a single crop supplier or a single country, but rather by responses from a variety of suppliers of several different crops in several countries. Discussion  The intensification potential of current and future crop and biomass production was widely discussed. It was generally agreed that some parts of the third world hold large potentials for intensification, which are not realised due to a number of barriers resulting in so-called yield gaps. Conclusions  Modelling the global land use implications of biofuels requires an interdisciplinary approach optimally integrating economic, geographical, biophysical, social and possibly other aspects in the modelling. This interdisciplinary approach is necessary but also difficult due to different perspectives and mindsets in the different disciplines. Recommendations and Perspectives  The concept of a location dependent marginal land use composite should be introduced in LCA of biofuels and it should be acknowledged that the typical LCA assumption of linear substitution is not necessarily valid. Moreover, fertiliser restrictions/accessibility should be included in land use modelling and the relation between crop demand and intensification should be further explored. In addition, environmental impacts of land use intensification should be included in LCA, the powerful concept of land use curves should be further improved, and so should the modelling of diminishing returns in crop production.     

Parasite recruitment and oceanographic regime: evidence suggesting a relationship on a global scale

We here investigate the relationship between oceanographic processes and variability in parasite recruitment to host populations using existing data from host-parasite systems encountering differing hydrographic conditions. Combined epidemiological data obtained from both exploited fish and cephalopod populations indicate that variability in recruitment of parasite infracommunities tends to be associated with major current systems of the World's oceans. It appears that instability in water masses caused by physical perturbations (e.g. water mass convergence and turbulent mixing in upwelling systems) is associated with instability of trophic interactions over time, which in turn leads to a paucity of parasite communities in that area. The likely relationship between parasite recruitment and oceanographic regime should be extremely useful to the fishing industry and also as an indicator of ecosystem health.     

Policies for plant diversity conservation on a global scale: a Nitrogen driver analysis

Diversity is a complex term that includes taxonomic, functional, spatial and temporal aspects of organisms variety. Conservation policies must be supported by holistic studies of ecosystem function, must aim to transform scientific knowledge into social responsibility creating a culture of respect towards nature and should also include economic components. Mediterranean ecosystems will likely experience the greatest proportional changes in biodiversity due to the substantial influence of land use and climate change as major drivers. Land use includes not only rural abandonment but also intensive exploitation of native forests (cork oak woodlands) or shrublands for animal or crop production. These last two are dependent on large Nitrogen (N) inputs. In this paper we intend to show the responses of Mediterranean ecosystems to increased N availability in terms of biodiversity and ecosystem functionality. We present two case studies: 1) a gradient of N availability due to a N point source; and 2) N manipulative field experiment (doses and forms). With these results our aim is to pinpoint the importance of improving scientific knowledge at a local level before we establish conservation policies at global level. The two case studies reflect a strong influence of the N source on ecosystem function. Finally, we use the SWOT (Strengths, Weakness, Opportunities and Threats) analysis approach to underpin the complexities of human intervention in the N cycle and the problem it poses for policies of plant conservation.     

Efficient prediction of human protein-protein interactions at a global scale

Background

Our knowledge of global protein-protein interaction (PPI) networks in complex organisms such as humans is hindered by technical limitations of current methods.

Results

On the basis of short co-occurring polypeptide regions, we developed a tool called MP-PIPE capable of predicting a global human PPI network within 3 months. With a recall of 23% at a precision of 82.1%, we predicted 172,132 putative PPIs. We demonstrate the usefulness of these predictions through a range of experiments.

Conclusions

The speed and accuracy associated with MP-PIPE can make this a potential tool to study individual human PPI networks (from genomic sequences alone) for personalized medicine.

Electronic supplementary material

The online version of this article (doi:10.1186/s12859-014-0383-1) contains supplementary material, which is available to authorized users.     

The emergence and evolution of antimicrobial resistance: Impact on a global scale

The evolution of antimicrobial resistance is a multifaceted issue that is influenced by numerous factors. This growing healthcare problem has significantly impacted the public welfare and has substantially burdened the economic system on a global scale. In an effort to combat this rising problem, several strategies have been implemented in the recent years to stall the progression and decrease the emergence of antimicrobial resistance. The aim of this review article is to describe the various factors that have contributed to the current state of antimicrobial resistance and to evaluate potential strategies developed to reduce the burden of antimicrobial resistance.     

Algal biofuels

The world is facing energy crisis and environmental issues due to the depletion of fossil fuels and increasing CO₂ concentration in the atmosphere. Growing microalgae can contribute to practical solutions for these global problems because they can harvest solar energy and capture CO₂ by converting it into biofuel using photosynthesis. Microalgae are robust organisms capable of rapid growth under a variety of conditions including in open ponds or closed photobioreactors. Their reduced biomass compounds can be used as the feedstock for mass production of a variety of biofuels. As another advantage, their ability to accumulate or secrete biofuels can be controlled by changing their growth conditions or metabolic engineering. This review is aimed to highlight different forms of biofuels produced by microalgae and the approaches taken to improve their biofuel productivity. The costs for industrial-scale production of algal biofuels in open ponds or closed photobioreactors are analyzed. Different strategies for photoproduction of hydrogen by the hydrogenase enzyme of green algae are discussed. Algae are also good sources of biodiesel since some species can make large quantities of lipids as their biomass. The lipid contents for some of the best oil-producing strains of algae in optimized growth conditions are reviewed. The potential of microalgae for producing petroleum related chemicals or ready-make fuels such as bioethanol, triterpenic hydrocarbons, isobutyraldehyde, isobutanol, and isoprene from their biomass are also presented.