Assigning trend-based conservation status despite high uncertainty.

Estimates of temporal trends in species' occupancy are essential for conservation policy and planning, but limitations to the data and models often result in very high trend uncertainty. A critical source of uncertainty that degrades scientific credibility is that caused by disagreement among studies or models. Modelers are aware of this uncertainty but usually only partially estimate it and communicate it to decision makers. At the same time, there is growing awareness that full disclosure of uncertainty is critical for effective translation of science into policies and plans. But what are the most effective approaches to estimating uncertainty and communicating uncertainty to decision makers? We explored how alternative approaches to estimating and communicating uncertainty of species trends could affect decisions concerning conservation status of freshwater fishes. We used ensemble models to propagate trend uncertainty within and among models and communicated this uncertainty with categorical distributions of trend direction and magnitude. All approaches were designed to fit an established decision-making system used to assign species conservation status by the New Zealand government. Our results showed how approaches that failed to fully disclose uncertainty, while simplifying the information presented, could hamper species conservation or lead to ineffective decisions. We recommend an approach that was recently used effectively to communicate trend uncertainty to a panel responsible for setting the conservation status of New Zealand's freshwater fishes.

Designación del estado de conservación basada en tendencias a pesar de gran incertidumbre Resumen Las estimaciones de las tendencias temporales de la presencia de especies son esenciales para la planeación de la conservación y sus políticas, pero las limitaciones de los datos y los modelos suelen derivar en una incertidumbre muy elevada en cuanto a las tendencias. Los desacuerdos entre los estudios y los modelos son una fuente importante de incertidumbre que contribuye a la degradación de la credibilidad científica. Los modeladores están conscientes de esta incertidumbre, pero casi nunca la estiman o comunican por completo a los responsables de las decisiones. Al mismo tiempo, cada vez hay mayor conciencia de que divulgar esta incertidumbre es importante para que la ciencia se traduzca efectivamente en políticas y planes. ¿Pero cuáles son las estrategias más efectivas para estimar la incertidumbre y comunicarla a los responsables de las decisiones? Exploramos cómo las estrategias alternativas para estimar y comunicar la incertidumbre que rodea a las tendencias de las especies podría afectar las decisiones con respecto al estado de conservación de los peces de agua dulce. Usamos modelos de conjuntos para propagar la incertidumbre dentro y entre modelos y comunicamos esta incertidumbre con distribuciones categóricas de la dirección y magnitud de la tendencia. Diseñamos todas las estrategias para que se ajustaran a un sistema establecido de toma de decisiones que usa el gobierno de Nueva Zelanda para designar el estado de conservación de las especies. Nuestros resultados mostraron cómo las estrategias que no divulgaron por completo la incertidumbre, mientras simplificaban la información presentada, podrían dificultar la conservación de las especies o llevar a decisiones poco efectivas. Recomendamos una estrategia que se usó recientemente para comunicar eficientemente la incertidumbre de las tendencias a un panel responsable de establecer el estado de conservación de los peces de agua dulce de Nueva Zelanda.

Metabolism drives distribution and abundance in extremophile fish.

Differences in population density between species of varying size are frequently attributed to metabolic rates which are assumed to scale with body size with a slope of 0.75. This assumption is often criticised on the grounds that 0.75 scaling of metabolic rate with body size is not universal and can vary significantly depending on species and life-history. However, few studies have investigated how interspecific variation in metabolic scaling relationships affects population density in different sized species. Here we predict inter-specific differences in metabolism from niche requirements, thereby allowing metabolic predictions of species distribution and abundance at fine spatial scales. Due to the differences in energetic efficiency required along harsh-benign gradients, an extremophile fish (brown mudfish, Neochanna apoda) living in harsh environments had slower metabolism, and thus higher population densities, compared to a fish species (banded kokopu, Galaxias fasciatus) in physiologically more benign habitats. Interspecific differences in the intercepts for the relationship between body and density disappeared when species mass-specific metabolic rates, rather than body sizes, were used to predict density, implying population energy use was equivalent between mudfish and kokopu. Nevertheless, despite significant interspecific differences in the slope of the metabolic scaling relationships, mudfish and kokopu had a common slope for the relationship between body size and population density. These results support underlying logic of energetic equivalence between different size species implicit in metabolic theory. However, the precise slope of metabolic scaling relationships, which is the subject of much debate, may not be a reliable indicator of population density as expected under metabolic theory.

The scaling of population persistence with carrying capacity does not asymptote in populations of a fish experiencing extreme climate variability.

Despite growing concerns regarding increasing frequency of extreme climate events and declining population sizes, the influence of environmental stochasticity on the relationship between population carrying capacity and time-to-extinction has received little empirical attention. While time-to-extinction increases exponentially with carrying capacity in constant environments, theoretical models suggest increasing environmental stochasticity causes asymptotic scaling, thus making minimum viable carrying capacity vastly uncertain in variable environments. Using empirical estimates of environmental stochasticity in fish metapopulations, we showed that increasing environmental stochasticity resulting from extreme droughts was insufficient to create asymptotic scaling of time-to-extinction with carrying capacity in local populations as predicted by theory. Local time-to-extinction increased with carrying capacity due to declining sensitivity to demographic stochasticity, and the slope of this relationship declined significantly as environmental stochasticity increased. However, recent 1 in 25 yr extreme droughts were insufficient to extirpate populations with large carrying capacity. Consequently, large populations may be more resilient to environmental stochasticity than previously thought. The lack of carrying capacity-related asymptotes in persistence under extreme climate variability reveals how small populations affected by habitat loss or overharvesting, may be disproportionately threatened by increases in extreme climate events with global warming.

Evaluating the Anticancer Potential of Ethanolic Gall Extract of Terminalia chebula (Gaertn.) Retz. (Combretaceae).

UNLABELLED: Plants have been an important source for discovery of anticancer compounds. With the current decline in the number of new molecular entities from the pharmaceutical industry, novel anticancer agents are being sought from traditional medicines; therefore the anticancer efficacy of many plants that are used in traditional medicine is yet to be verified. The objective of the study was to evaluate the cytotoxic potential of ethanolic leaf gall extract of Terminalia chebula are evaluated against buffalo rat liver 3A, MCF-7 (Human mammary gland adenocarcinoma) and A-549 (Human lung cancer) cell lines. The cytotoxic effect of the ethanolic extract was evaluated by MTT assay. The extract was potent and effective in inducing cytotoxic effects in all the cell lines with an IC50 value of 305.18 ± 1.7 µg/mL, 643.13 ± 4.2 µg/mL, and 208.16 ± 3.7 µ/mL, respectively. The extract was more effective against A549 cell lines when compared to others. The presences of phenolics, triterpenoids, and flavonoids were identified in the extract. The extract showed total phenolic and flavonoid content of 478 ± 2.2 mg of gallic acid equivalent/g d.w and 538 ± 1.4 mg of quercetinequivalent/g d.w, respectively. This higher content of total phenolics and flavonoids found in the ethanolic extract was directly associated to higher cytotoxicity activity. CONCLUSION: The ethanolic leaf gall extract of T. chebula showed effective cytotoxic activities; which might be attributed to the phenolics/flavonoids present in higher concentration. Future work will be interesting to know the chemical composition of the extract and also better understand the mechanism of action of the constituents present in the extract to develop it as drug for therapeutic application. SUMMARY: The present investigation establishes the anticancer activities of T. chebula leaf gall extracts on BRL3A, MCF-7, and A-549 cells. Presumably, these activities could be attributed in part to the phenolics/flavanoids features of the extract that has been demonstrated to act as cytotoxic agents. The experimental evidence obtained in the laboratory model could provide a rationale for the traditional use of plant as a source of easily available effective anticancer agents to the people, particularly in developing countries.

Drought survival is a threshold function of habitat size and population density in a fish metapopulation.

Because smaller habitats dry more frequently and severely during droughts, habitat size is likely a key driver of survival in populations during climate change and associated increased extreme drought frequency. Here, we show that survival in populations during droughts is a threshold function of habitat size driven by an interaction with population density in metapopulations of the forest pool dwelling fish, Neochanna apoda. A mark-recapture study involving 830 N. apoda individuals during a one-in-seventy-year extreme drought revealed that survival during droughts was high for populations occupying pools deeper than 139 mm, but declined steeply in shallower pools. This threshold was caused by an interaction between increasing population density and drought magnitude associated with decreasing habitat size, which acted synergistically to increase physiological stress and mortality. This confirmed two long-held hypotheses, firstly concerning the interactive role of population density and physiological stress, herein driven by habitat size, and secondly, the occurrence of drought survival thresholds. Our results demonstrate how survival in populations during droughts will depend strongly on habitat size and highlight that minimum habitat size thresholds will likely be required to maximize survival as the frequency and intensity of droughts are projected to increase as a result of global climate change.

Structure of Francisella tularensis peptidyl-tRNA hydrolase.

The rational design of novel antibiotics for bacteria involves the identification of inhibitors for enzymes involved in essential biochemical pathways in cells. In this study, the cloning, expression, purification, crystallization and structure of the enzyme peptidyl-tRNA hydrolase from Francisella tularensis, the causative agent of tularemia, was performed. The structure of F. tularensis peptidyl-tRNA hydrolase is comparable to those of other bacterial peptidyl-tRNA hydrolases, with most residues in the active site conserved amongst the family. The resultant reagents, structural data and analyses provide essential information for the structure-based design of novel inhibitors for this class of proteins.

A comparative study of the 1918-1920 influenza pandemic in Japan, USA and UK: mortality impact and implications for pandemic planning.

Historical studies of influenza pandemics can provide insight into transmission and mortality patterns, and may aid in planning for a future pandemic. Here, we analyse historical vital statistics and quantify the age-specific mortality patterns associated with the 1918-1920 influenza pandemic in Japan, USA, and UK. All three countries showed highly elevated mortality risk in young adults relative to surrounding non-pandemic years. By contrast, the risk of death was low in the very young and very old. In Japan, the overall mortality impact was not limited to winter 1918-1919, and continued during winter 1919-1920. Mortality impact varied as much as threefold across the 47 Japanese prefectures, and differences in baseline mortality, population demographics, and density explained a small fraction of these variations. Our study highlights important geographical variations in timing and mortality impact of historical pandemics, in particular between the Eastern and Western hemispheres. In a future pandemic, vaccination in one region could save lives even months after the emergence of a pandemic virus in another region.

Association of an aminoacyl-tRNA synthetase with a putative metabolic protein in archaea.

Aminoacyl-tRNA synthetases are essential enzymes that catalyze attachment of amino acids to tRNAs for decoding of genetic information. In higher eukaryotes, several synthetases associate with non-synthetase proteins to form a high-molecular mass complex that may improve the efficiency of protein synthesis. This multi-synthetase complex is not found in bacteria. Here we describe the isolation of a non-synthetase protein from the archaeon Methanocaldococcus jannaschii that was copurified with prolyl-tRNA synthetase (ProRS). This protein, Mj1338, also interacts with several other tRNA synthetases and has an affinity for general tRNA, suggesting the possibility of forming a multi-synthetase complex. However, unlike the non-synthetase proteins in the eukaryotic complex, the protein Mj1338 is predicted to be a metabolic protein, related to members of the family of H(2)-forming N(5),N(10)-methylene tetrahydromethanopterin (5,10-CH(2)-H(4)MP) dehydrogenases that are involved in the one-carbon metabolism of the archaeon. The association of Mj1338 with ProRS, and with other components of the protein synthesis machinery, thus suggests the possibility of a closer link between metabolism and decoding in archaea than in eukarya or bacteria.

Prevention of mis-aminoacylation of a dual-specificity aminoacyl-tRNA synthetase.

Accurate aminoacylation of tRNAs by aminoacyl-tRNA synthetase is essential for the fidelity of protein synthesis. For Methanococcus jannaschii tRNA(Pro), accuracy is difficult because the cognate prolyl-tRNA synthetase also recognizes and aminoacylates tRNA(Cys) with cysteine. We show here that the unmodified transcript of M. jannaschii tRNA(Pro) is indeed mis-acylated with cysteine. However, the origin of mis-charging is not at the anticodon or acceptor stem, the two hotspots for tRNA(Pro) and tRNA(Cys) identity determinants. Instead, replacement of the D loop in the tRNA core with that of tRNA(Cys) suppresses mis-charging with cysteine without compromising the activity of aminoacylation with proline. The reduced level of cysteine activity of the chimera is not due an editing response of the synthetase and is consistent with a relaxed sensitivity of the tRNA to the analog thiaproline in aminoacylation with cysteine. We suggest that mis-acylation is not due to the presence of cysteine determinants, but to a mis-placed 3' end into the cysteine catalytic site that activates and transfers cysteine to the tRNA. Prevention of mis-placement by alteration of the core structure or by nucleotide modifications in the tRNA illustrates a novel strategy of the dual-specificity synthetase.

Amino acid activation of a dual-specificity tRNA synthetase is independent of tRNA.

Transfer RNA can play a role in amino acid activation by aminoacyl-tRNA synthetases. For the prolyl-tRNA synthetase (ProRS) of Methanococcus jannaschii, which activates both proline and cysteine, the role of tRNA in amino acid selection and activation is of interest in the effort to understand the mechanism of the dual-specificity. While activation of proline does not require tRNA, whether or not tRNA is required in the activation of cysteine has been a matter of debate. Here, investigation of a series of buffer conditions shows that activation of cysteine occurs without tRNA in a wide-range of buffers. However, the extent of cysteine activation is strongly buffer-dependent, varying over a 180-fold range. In contrast, the extent of proline activation is much less sensitive to buffer conditions, varying over only a 36-fold range. We also find that addition of tRNA has a small threefold stimulatory effect on cysteine activation. The lack of a major role of tRNA in activation of cysteine suggests that the dual-specificity enzyme must distinguish cysteine from proline directly, without the assistance of each cognate tRNA, to achieve the necessary specificity required for protein synthesis.