Relationship Between Mineral Soil Surface Area and Carbon Sequestration Rate for Biosolids Added to Soil

Biosolid degradation in soil comprises important biological and geochemical processes that operate in the soil matrix and on the soil surface. The microbial ecology is assumed to be associated with mineral soil surface area because of the large surface area of soil. Biological degradation rates for 27 fields (10°C and 10% moisture) ranged from 0.01 to 0.30 yr−1 and were determined by applying a degradation rate model (DRM). A 1-year-long laboratory study was also conducted to determine biosolid microbial degradation rates (21°C and 20% moisture) for soils from eight of the fields. Changes in degradation rates were correlated with changes in mineral soil surface area (1–10 m2/g) with larger degradation rates associated with soils with larger surface areas. The annual soil sequestration rate was calculated to increase from 1 to 6% for field conditions and from 4 to 14% for laboratory conditions when the soil total surface area increased from 1 to 10 m2/g. Therefore, land application of biosolids is an effective way to enhance carbon sequestration in soils and reduce greenhouse gas (GHG) emissions

Evolution of mal ABC transporter operons in the Thermococcales and Thermotogales

<p>Abstract</p> <p>Background</p> <p>The <it>mal </it>genes that encode maltose transporters have undergone extensive lateral transfer among ancestors of the archaea <it>Thermococcus litoralis </it>and <it>Pyrococcus furiosus</it>. Bacterial hyperthermophiles of the order <it>Thermotogales </it>live among these archaea and so may have shared in these transfers. The genome sequence of <it>Thermotoga maritima </it>bears evidence of extensive acquisition of archaeal genes, so its ancestors clearly had the capacity to do so. We examined deep phylogenetic relationships among the <it>mal </it>genes of these hyperthermophiles and their close relatives to look for evidence of shared ancestry.</p> <p>Results</p> <p>We demonstrate that the two maltose ATP binding cassette (ABC) transporter operons now found in <it>Tc. litoralis </it>and <it>P. furiosus </it>(termed <it>mal </it>and <it>mdx </it>genes, respectively) are not closely related to one another. The <it>Tc. litoralis </it>and <it>P. furiosus mal </it>genes are most closely related to bacterial <it>mal </it>genes while their respective <it>mdx </it>genes are archaeal. The genes of the two <it>mal </it>operons in <it>Tt. maritima </it>are not related to genes in either of these archaeal operons. They are highly similar to one another and belong to a phylogenetic lineage that includes <it>mal </it>genes from the enteric bacteria. A unique domain of the enteric MalF membrane spanning proteins found also in these <it>Thermotogales </it>MalF homologs supports their relatively close relationship with these enteric proteins. Analyses of genome sequence data from other <it>Thermotogales </it>species, <it>Fervidobacterium nodosum</it>, <it>Thermosipho melanesiensis</it>, <it>Thermotoga petrophila</it>, <it>Thermotoga lettingae</it>, and <it>Thermotoga neapolitana</it>, revealed a third apparent <it>mal </it>operon, absent from the published genome sequence of <it>Tt. maritima </it>strain MSB8. This third operon, <it>mal3</it>, is more closely related to the <it>Thermococcales</it>' bacteria-derived <it>mal </it>genes than are <it>mal1 </it>and <it>mal2</it>. <it>F. nodosum</it>, <it>Ts. melanesiensis</it>, and <it>Tt. lettingae </it>have only one of the <it>mal1-mal2 </it>paralogs. The <it>mal2 </it>operon from an unknown species of <it>Thermotoga </it>appears to have been horizontally acquired by a <it>Thermotoga </it>species that had only <it>mal1</it>.</p> <p>Conclusion</p> <p>These data demonstrate that the <it>Tc. litoralis </it>and <it>P. furiosus mdx </it>maltodextrin transporter operons arose in the <it>Archaea </it>while their <it>mal </it>maltose transporter operons arose in a bacterial lineage, but not the same lineage as the two maltose transporter operons found in the published <it>Tt. maritima </it>genome sequence. These <it>Tt. maritima </it>maltose transporters are phylogenetically and structurally similar to those found in enteric bacteria and the <it>mal2 </it>operon was horizontally transferred within the <it>Thermotoga </it>lineage. Other <it>Thermotogales </it>species have a third <it>mal </it>operon that is more closely related to the bacterial <it>Thermococcales mal </it>operons, but the data do not support a recent horizontal sharing of that operon between these groups.</p

Sugar Transport and Metabolism in Thermotoga

The work conducted under this grant demonstrated that the hyperthermophilic bacterium Thermotoga neapolitana carries out glucose and lactose transport in a sodium-dependent manner and that energization of anaerobic cells is required to observe transport. We also demonstrated that Thermotoga maritima carries out maltose and glucose transport using periplasmic sugar binding proteins. We began defining patterns of expression of genes encoding sugar transport and catabolic functions in both T. maritima and T. neapolitana. We began a collaborative effort to identify all the genes regulated at the transcriptional level in response to sugars substrates. These funds also allowed us to begin an examination of the functions of several periplasmic substrate binding proteins encoded in the genome of T. maritima

A Statement on the Appropriate Role for Research and Development in Climate Policy

This statement is issued by a group of economists and scientists which met at Stanford University on October 18, 2008 to discuss the role of research and development (R&D) in developing effective policies for addressing the adverse potential consequences of climate change. We believe that climate change is a serious issue that governments need to address. We also believe that research and development needs to be a central part of governments’ strategies for responding to this challenge. Solutions to manage long-term risks will require the development and global deployment of a range of technologies for energy supply and end-use, land-use, agriculture and adaptation that are not currently commercial. A key potential benefit of focused scientific and technological research and development investment is that it could dramatically reduce the cost of restricting greenhouse gas emissions by encouraging the development of more affordable, better performing technologies.

Is There a Role for Benefit-Cost Analysis in Environmental, Health, and Safety Regulation?

Benefit-cost analysis has a potentially important role to play in helping inform regulatory decision-making, although it should not be the sole basis for such decision-making. This paper offers eight principles on the appropriate use of benefit-cost analysis.Environment, Health and Safety, Regulatory Reform

Benefit-Cost Analysis in Environmental, Health, and Safety Regulation: A Statement of Principles

Benefit-cost analysis can play a very important role in legislative and regulatory policy debates on improving the environment, health, and safety. It can help illustrate the tradeoffs that are inherent in public policymaking as well as make those tradeoffs more transparent. It can also help agencies set regulatory priorities. Benefit-cost analysis should be used to help decisionmakers reach a decision. Contrary to the views of some, benefit-cost analysis is neither necessary nor sufficient for designing sensible public policy. If properly done, it can be very helpful to agencies in the decisionmaking process. Decisionmakers should not be precluded from considering the economic benefits and costs of different policies in the development of regulations. Laws that prohibit costs or other factors from being considered in administrative decisionmaking are inimical to good public policy. Currently, several of the most important regulatory statutes have been interpreted to imply such prohibitions. Benefit-cost analysis should be required for all major regulatory decisions, but agency heads should not be bound by a strict benefit-cost test. Instead, they should be required to consider available benefit-cost analyses and to justify the reasons for their decision in the event that the expected costs of a regulation far exceed the expected benefits. Agencies should be encouraged to use economic analysis to help set regulatory priorities. Economic analyses prepared in support of particularly important decisions should be subjected to peer review both inside and outside government. Benefits and costs of proposed major regulations should be quantified wherever possible. Best estimates should be presented along with a description of the uncertainties. Not all benefits or costs can be easily quantified, much less translated into dollar terms. Nevertheless, even qualitative descriptions of the pros and cons associated with a contemplated action can be helpful. Care should be taken to ensure that quantitative factors do not dominate important qualitative factors in decisionmaking. The Office of Management and Budget, or some other coordinating agency, should establish guidelines that agencies should follow in conducting benefit-cost analyses. Those guidelines should specify default values for the discount rate and certain types of benefits and costs, such as the value of a small reduction in mortality risk. In addition, agencies should present their results using a standard format, which summarizes the key results and highlights major uncertainties.

Improvement of personality functioning among people treated within personality disorder mental health services. A longitudinal, observational study

Objective: Evidence-based personality disorder (PD) treatments are dominated by interventions targeting Borderline PD, although clinical populations characteristically include different PD features and severity. Personality functioning is a new concept intended to capture common features across PDs. This study aimed to investigate longitudinal improvement of personality functioning in a clinical sample assigned to PD treatment. Method: An observational, large, longitudinal study of patients in PD treatments on specialist mental health service levels (N = 1,051). DSM-5 PDs were systematically assessed on referral. Personality functioning was repeatedly assessed (LPFS-BF-2.0), supplemented by symptom distress (anxiety: PHQ-GAD-7, depression: PHQ-9), and social/occupational activity (WSAS, work/study activity). Statistics were linear mixed models. Results: Thirty per cent had personality difficulties below PD threshold. Among PDs, 31% had Borderline (BPD), 39% Avoidant (AvPD), 15% not otherwise specified, 15% other PDs, and 24% > one PD. More severe initial LPFS-BF was associated with younger age, presence of PD and increasing number of total PD criteria. Across PD conditions, LPFS-BF, PHQ-9 and GAD-7 improved significantly (overall effect size 0.9). Mean duration of PD treatment was 15 (SD 9) months. Drop-out rates were low (12%). LPFS-BF improvement-rates were higher for BPD. Younger age was moderately associated with slower PHQ-9 improvement. Work/study activity was initially poor, poorer levels associated with AvPD and younger age, and improvement was non-significant across PD conditions. AvPD was associated with slower WSAS improvement-rates. Conclusion: Personality functioning improved across PD conditions. The results highlight BPD improvements. The study points to challenges concerning AvPD treatment, poor occupational activity and age-related differences

Genome Sequence of the Mesophilic Thermotogales Bacterium Mesotoga prima MesG1.Ag.4.2 Reveals the Largest Thermotogales Genome To Date

Here we describe the genome of Mesotoga prima MesG1.Ag4.2, the first genome of a mesophilic Thermotogales bacterium. Mesotoga prima was isolated from a polychlorinated biphenyl (PCB)-dechlorinating enrichment culture from Baltimore Harbor sediments. Its 2.97 Mb genome is considerably larger than any previously sequenced Thermotogales genomes, which range between 1.86 and 2.30 Mb. This larger size is due to both higher numbers of protein-coding genes and larger intergenic regions. In particular, the M. prima genome contains more genes for proteins involved in regulatory functions, for instance those involved in regulation of transcription. Together with its closest relative, Kosmotoga olearia, it also encodes different types of proteins involved in environmental and cell–cell interactions as compared with other Thermotogales bacteria. Amino acid composition analysis of M. prima proteins implies that this lineage has inhabited low-temperature environments for a long time. A large fraction of the M. prima genome has been acquired by lateral gene transfer (LGT): a DarkHorse analysis suggests that 766 (32%) of predicted protein-coding genes have been involved in LGT after Mesotogadiverged from the other Thermotogales lineages. A notable example of a lineage-specific LGT event is a reductive dehalogenase gene—a key enzyme in dehalorespiration, indicating M. prima may have a more active role in PCB dechlorination than was previously assumed

What Is a Representative Brain? Neuroscience Meets Population Science

The last decades of neuroscience research have produced immense progress in the methods available to understand brain structure and function. Social, cognitive, clinical, affective, economic, communication, and developmental neurosciences have begun to map the relationships between neuro-psychological processes and behavioral outcomes, yielding a new understanding of human behavior and promising interventions. However, a limitation of this fast moving research is that most findings are based on small samples of convenience. Furthermore, our understanding of individual differences may be distorted by unrepresentative samples, undermining findings regarding brain–behavior mechanisms. These limitations are issues that social demographers, epidemiologists, and other population scientists have tackled, with solutions that can be applied to neuroscience. By contrast, nearly all social science disciplines, including social demography, sociology, political science, economics, communication science, and psychology, make assumptions about processes that involve the brain, but have incorporated neural measures to differing, and often limited, degrees; many still treat the brain as a black box. In this article, we describe and promote a perspective—population neuroscience—that leverages interdisciplinary expertise to (i) emphasize the importance of sampling to more clearly define the relevant populations and sampling strategies needed when using neuroscience methods to address such questions; and (ii) deepen understanding of mechanisms within population science by providing insight regarding underlying neural mechanisms. Doing so will increase our confidence in the generalizability of the findings. We provide examples to illustrate the population neuroscience approach for specific types of research questions and discuss the potential for theoretical and applied advances from this approach across areas