Upregulation of the heteromeric y(+)LAT2 transporter contributes to ammonia-induced increase of arginine uptake in rat cerebral cortical astrocytes

Increased l-Arg (Arg) uptake to astrocytes and neurons is thought to contribute to enhanced nitric oxide (NO) synthesis and oxidative/nitrosative stress associated with hyperammonemia (HA). Recently we had shown that HA increases the expression in the brain of y(+)LAT2, an isoform of the y(+)L heteromeric transporter which promotes [(3)H]Arg efflux form brain cells in the presence of l-glutamine (Gln) (Zielińska et al., 2011). In this study, we demonstrate that a significant proportion of [(3)H]Arg uptake to cultured cortical astrocytes is likewise mediated by system y(+)L, in addition to the uptake showing characteristics of systems y(+), B(0+) and b(0+). However, stimulation of [(3)H]Arg uptake by treatment with 5mM ammonium chloride ("ammonia") for 48h could be solely ascribed to the y(+)L-mediated component of the uptake. Ammonia treatment increased the expression of the brain specific y(+)L isoform, y(+)LAT2, both at the mRNA and protein level, and silencing of the Slc7a6 gene coding for y(+)LAT2 protein specifically reduced the ammonia-induced [(3)H]Arg uptake. This study suggests an important role of y(+)LAT2 in the modulation of NO synthesis in the ammonia-exposed astrocytes.     

Sex reversal in C57BL/6J XY mice caused by increased expression of ovarian genes and insufficient activation of the testis determining pathway

Sex reversal can occur in XY humans with only a single functional WT1 or SF1 allele or a duplication of the chromosome region containing WNT4. In contrast, XY mice with only a single functional Wt1, Sf1, or Wnt4 allele, or mice that over-express Wnt4 from a transgene, reportedly are not sex-reversed. Because genetic background plays a critical role in testis differentiation, particularly in C57BL/6J (B6) mice, we tested the hypothesis that Wt1, Sf1, and Wnt4 are dosage sensitive in B6 XY mice. We found that reduced Wt1 or Sf1 dosage in B6 XY(B6) mice impaired testis differentiation, but no ovarian tissue developed. If, however, a Y(AKR) chromosome replaced the Y(B6) chromosome, these otherwise genetically identical B6 XY mice developed ovarian tissue. In contrast, reduced Wnt4 dosage increased the amount of testicular tissue present in Sf1+/- B6 XY(AKR), Wt1+/- B6 XY(AKR), B6 XY(POS), and B6 XY(AKR) fetuses. We propose that Wt1(B6) and Sf1(B6) are hypomorphic alleles of testis-determining pathway genes and that Wnt4(B6) is a hypermorphic allele of an ovary-determining pathway gene. The latter hypothesis is supported by the finding that expression of Wnt4 and four other genes in the ovary-determining pathway are elevated in normal B6 XX E12.5 ovaries. We propose that B6 mice are sensitive to XY sex reversal, at least in part, because they carry Wt1(B6) and/or Sf1(B6) alleles that compromise testis differentiation and a Wnt4(B6) allele that promotes ovary differentiation and thereby antagonizes testis differentiation. Addition of a "weak" Sry allele, such as the one on the Y(POS) chromosome, to the sensitized B6 background results in inappropriate development of ovarian tissue. We conclude that Wt1, Sf1, and Wnt4 are dosage-sensitive in mice, this dosage-sensitivity is genetic background-dependant, and the mouse strains described here are good models for the investigation of human dosage-sensitive XY sex reversal.     

Shifting targets: spatial priorities for ex situ plant conservation depend on interactions between current threats,climate change,and uncertainty

Few strategies for conservation seed banking consider current and climate threats simultaneously and few—if any—represent uncertainty inherent in the assessment process. Here we evaluate the vulnerability of 5148 populations of 71 rare plant species in the North American Central Highlands to current threat, threat from climate change, and their combination. We calculated priorities based on current threat using existing conservation status and protection, and priorities based on climate threat using ecological niche models and species-level traits related to reproduction and dispersal. Current- and climate-based priorities were integrated using a weighted average of rank priority. We managed uncertainty using either a precautionary strategy that avoids any extinctions or a resource-conservative strategy that directs attention to species known to be vulnerable with high certainty. Priorities based on current threats highlighted presently rare species while priorities based on climate threat emphasized presently common species. The location of geographic “hotspots” providing opportunities for efficient seed banking depended strongly on the weight of the climate module relative to the current module, the strategy used to handle uncertainty, and emissions scenario. Integrating threats highlighted some hotspots that were not identified using just current or climate threat, indicating the importance of considering current and climate threats simultaneously. Only the Central Basin of Tennessee, a known center of endemism, was consistently emphasized. We urge (1) integrating current and climate threats when designing seed-banking strategies; and (2) reporting of uncertainty in a manner that allows decision-makers to choose actions based on available resources and tolerable risk.     

Synergistic interactions of ecosystem services: florivorous pest control boosts crop yield increase through insect pollination

Insect pollination and pest control are pivotal functions sustaining global food production. However, they have mostly been studied in isolation and how they interactively shape crop yield remains largely unexplored. Using controlled field experiments, we found strong synergistic effects of insect pollination and simulated pest control on yield quantity and quality. Their joint effect increased yield by 23%, with synergistic effects contributing 10%, while their single contributions were 7% and 6%, respectively. The potential economic benefit for a farmer from the synergistic effects (12%) was 1.8 times greater than their individual contributions (7% each). We show that the principal underlying mechanism was a pronounced pest-induced reduction in flower lifetime, resulting in a strong reduction in the number of pollinator visits a flower receives during its lifetime. Our findings highlight the importance of non-additive interactions among ecosystem services (ES) when valuating, mapping or predicting them and reveal fundamental implications for ecosystem management and policy aimed at maximizing ES for sustainable agriculture.     

Genomic prediction of dichotomous traits with Bayesian logistic models

Bayesian methods are a popular choice for genomic prediction of genotypic values. The methodology is well established for traits with approximately Gaussian phenotypic distribution. However, numerous important traits are of dichotomous nature and the phenotypic counts observed follow a Binomial distribution. The standard Gaussian generalized linear models (GLM) are not statistically valid for this type of data. Therefore, we implemented Binomial GLM with logit link function for the BayesB and Bayesian GBLUP genomic prediction methods. We compared these models with their standard Gaussian counterparts using two experimental data sets from plant breeding, one on female fertility in wheat and one on haploid induction in maize, as well as a simulated data set. With the aid of the simulated data referring to a bi-parental population of doubled haploid lines, we further investigated the influence of training set size (N), number of independent Bernoulli trials for trait evaluation (n _i ) and genetic architecture of the trait on genomic prediction accuracies and abilities in general and on the relative performance of our models. For BayesB, we in addition implemented finite mixture Binomial GLM to account for overdispersion. We found that prediction accuracies increased with increasing N and n _i . For the simulated and experimental data sets, we found Binomial GLM to be superior to Gaussian models for small n _i , but that for large n _i Gaussian models might be used as ad hoc approximations. We further show with simulated and real data sets that accounting for overdispersion in Binomial data can markedly increase the prediction accuracy.