Machine-learning approaches for classifying haplogroup from Y chromosome STR data

Genetic variation on the non-recombining portion of the Y chromosome contains information about the ancestry of male lineages. Because of their low rate of mutation, single nucleotide polymorphisms (SNPs) are the markers of choice for unambiguously classifying Y chromosomes into related sets of lineages known as haplogroups, which tend to show geographic structure in many parts of the world. However, performing the large number of SNP genotyping tests needed to properly infer haplogroup status is expensive and time consuming. A novel alternative for assigning a sampled Y chromosome to a haplogroup is presented here. We show that by applying modern machine-learning algorithms we can infer with high accuracy the proper Y chromosome haplogroup of a sample by scoring a relatively small number of Y-linked short tandem repeats (STRs). Learning is based on a diverse ground-truth data set comprising pairs of SNP test results (haplogroup) and corresponding STR scores. We apply several independent machine-learning methods in tandem to learn formal classification functions. The result is an integrated high-throughput analysis system that automatically classifies large numbers of samples into haplogroups in a cost-effective and accurate manner.     

A model for integrative study of human gastric acid secretion.

We have developed a unique virtual human model of gastric acid secretion and its regulation in which food provides a driving force. Food stimulus triggers neural activity in central and enteric nervous systems and G cells to release gastrin, a critical stimulatory hormone. Gastrin stimulates enterochromaffin-like cells to release histamine, which, together with acetylcholine, stimulates acid secretion from parietal cells. Secretion of somatostatin from antral and corpus D cells comprises a negative-feedback loop. We demonstrate that although acid levels are most sensitive to food and nervous system inputs, somatostatin-associated interactions are also important in governing acidity. The importance of gastrin in acid secretion is greatest at the level of transport between the antral and corpus regions. Our model can be applied to study conditions that are not yet experimentally reproducible. For example, we are able to preferentially deplete antral or corpus somatostatin. Depletion of antral somatostatin exhibits a more significant elevation of acid release than depletion of corpus somatostatin. This increase in acid release is likely due to elevated gastrin levels. Prolonged hypergastrinemia has significant effects in the long term (5 days) by promoting enterochromaffin-like cell overgrowth. Our results may be useful in the design of therapeutic strategies for acid secretory dysfunctions such as hyper- and hypochlorhydria.     

Pattern of Expression and Substrate Specificity of Chloroplast Ferredoxins from Chlamydomonas reinhardtii

Ferredoxin (Fd) is the major iron-containing protein in photosynthetic organisms and is central to reductive metabolism in the chloroplast. The Chlamydomonas reinhardtii genome encodes six plant type [Fe₂S₂] ferredoxins, products of PETF, FDX2–FDX6. We performed the functional analysis of these ferredoxins by localizing Fd, Fdx2, Fdx3, and Fdx6 to the chloroplast by using isoform-specific antibodies and monitoring the pattern of gene expression by iron and copper nutrition, nitrogen source, and hydrogen peroxide stress. In addition, we also measured the midpoint redox potentials of Fd and Fdx2 and determined the kinetic parameters of their reactions with several ferredoxin-interacting proteins, namely nitrite reductase, Fd:NADP⁺ oxidoreductase, and Fd:thioredoxin reductase. We found that each of the FDX genes is differently regulated in response to changes in nutrient supply. Moreover, we show that Fdx2 (E_m = −321 mV), whose expression is regulated by nitrate, is a more efficient electron donor to nitrite reductase relative to Fd. Overall, the results suggest that each ferredoxin isoform has substrate specificity and that the presence of multiple ferredoxin isoforms allows for the allocation of reducing power to specific metabolic pathways in the chloroplast under various growth conditions.Ferredoxins are small (∼11,000-kDa), soluble, iron-sulfur cluster-containing proteins with strongly negative redox potentials (−350 to −450 mV) that function as electron donors at reductive steps in various metabolic pathways (1–3). In photosynthetic organisms, the well studied ferredoxin (Fd⁴; the product of the PETF gene) is the most abundant iron-containing protein in the chloroplast and is central to the distribution of photosynthetically derived reductive power (4).The most well known Fd-dependent reaction is the transfer of electrons from photosystem I (PSI) to NADPH, catalyzed by Fd:NADP⁺ oxidoreductase (FNR). The NADPH produced by this reaction donates electrons to the only reductant-requiring step in the Calvin cycle and other steps in anabolic pathways that require NADPH as reductant. In addition, reduced Fd directly donates electrons to other metabolic pathways by interacting with various enzymes in the chloroplast. This includes Fd:thioredoxin reductase (FTR), which converts a light-driven electron signal into a thiol signal that is transmitted to thioredoxins (TRXs) present in the plastid as different types (or different isoforms). Once reduced, TRXs interact with specific disulfide bonds on target enzymes, modulating their activities (5). Other Fd targets include hydrogenase, which is responsible for hydrogen production in anaerobic conditions in green algae; glutamine-oxoglutarate amidotransferase in amino acid synthesis; nitrite and sulfite reductases in nitrate and sulfate assimilation, respectively; stearoyl-ACP Δ9-desaturase in fatty acid desaturation; and phycocyanobilin:Fd oxidoreductase in synthesis of phytochromobilin (6). Fd also functions in non-photosynthetic cells. Here, FNR catalyzes the reduction of Fd by NADPH produced in the oxidative pentose phosphate pathway, enabling Fd-dependent metabolism to occur in the dark (7, 8).The single-celled green alga, Chlamydomonas reinhardtii is an excellent reference organism for studying both metabolic adaptation to nutrient stress and photosynthesis (9–13). The Chlamydomonas genome encodes six highly related plant type ferredoxin genes (9). Until recently, only the major photosynthetic ferredoxin, Fd (encoded by PETF), which mediates electron transfer between PSI and FNR, had been characterized in detail (14).Many land plants are known to have multiple ferredoxins. Typically, they are differently localized on the basis of their function. Photosynthetic ferredoxins reduce NADP⁺ at a faster rate and are localized to the leaves, whereas non-photosynthetic ferredoxins are more efficiently reduced by NADPH and are localized to the roots. Arabidopsis thaliana has a total of six ferredoxin isoforms (15). Of these, two are photosynthetic and localized in the leaves. The most abundant, AtFd2, is involved in linear electron flow, and the less abundant (5% of the ferredoxin pool), AtFd1, has been implicated in cyclic electron flow (16). There is one non-photosynthetic ferredoxin located in the roots, AtFd3, which is nitrate-inducible. This protein has higher electron transfer activity with sulfite reductase in in vitro assays compared with other Arabidopsis ferredoxin isoforms, suggesting in vivo function of AtFd3 in nitrate and sulfate assimilation (15, 17). In addition, there is one evolutionarily distant ferredoxin, AtFd4, of unknown function with a more positive redox potential present in the leaves and two other proteins which are “ferredoxin-like” and uncharacterized (15). Zea mays has four ferredoxin isoforms, two photosynthetic and two non-photosynthetic (18). One of the non-photosynthetic isoforms is specifically induced by nitrite, suggestive of a role in nitrate metabolism (19). A cyanobacterium, Anabaena 7120, has two ferredoxins, vegetative and heterocyst type (by analogy to leaf and root types, respectively). The heterocyst type is present only in cells that have differentiated into nitrogen-fixing cells, indicating that this form may serve to transfer electrons to nitrogenase (20).We hypothesize that the presence of as many as six ferredoxin isoforms in a single-celled organism like C. reinhardtii allows for the differential regulation of each isoform and therefore the prioritization of reducing power toward certain metabolic pathways under changing environmental conditions. To test this hypothesis, expression of the genes (PETF and FDX2–FDX6) encoding the six ferredoxin isoforms in Chlamydomonas reinhardtii was monitored under various conditions in which well characterized ferredoxin-dependent enzymes are known to be expressed. In addition, we also analyzed the interaction of Fd and Fdx2 with several ferredoxin-interacting proteins, such as NiR, FNR, and FTR, and determined the kinetic parameters of the corresponding reactions.We found that each of the FDX genes is indeed differently regulated in response to changes in nutrient supply. In the case of FDX2 whose product is most similar to classical Fd, we suggest that it has specificity for nitrite reductase based on its pattern of expression and activity with nitrite reductase.     

The Parkinson’s disease kinase LRRK2 autophosphorylates its GTPase domain at multiple sites

Mutations in leucine-rich repeat kinase 2 (LRRK2) are a common cause of inherited Parkinson’s disease (PD). The protein is large and complex, but pathogenic mutations cluster in a region containing GTPase and kinase domains. LRRK2 can autophosphorylate in vitro within a dimer pair, although the significance of this reaction is unclear. Here, we mapped the sites of autophosphorylation within LRRK2 and found several potential phosphorylation sites within the GTPase domain. Using mass spectrometry, we found that Thr1343 is phosphorylated and, using kinase dead versions of LRRK2, show that this is an autophosphorylation site. However, we also find evidence for additional sites in the GTPase domain and in other regions of the protein suggesting that there may be multiple autophosphorylation sites within LRRK2. These data suggest that the kinase and GTPase activities of LRRK2 may exhibit complex autoregulatory interdependence.     

Carbon accumulation in agricultural soils after afforestation: a meta-analysis

Deforestation usually results in significant losses of soil organic carbon (SOC). The rate and factors determining the recovery of this C pool with afforestation are still poorly understood. This paper provides a review of the influence of afforestation on SOC stocks based on a meta-analysis of 33 recent publications (totaling 120 sites and 189 observations), with the aim of determining the factors responsible for the restoration of SOC following afforestation. Based on a mixed linear model, the meta-analysis indicates that the main factors that contribute to restoring SOC stocks after afforestation are: previous land use, tree species planted, soil clay content, preplanting disturbance and, to a lesser extent, climatic zone. Specifically, this meta-analysis (1) indicates that the positive impact of afforestation on SOC stocks is more pronounced in cropland soils than in pastures or natural grasslands; (2) suggests that broadleaf tree species have a greater capacity to accumulate SOC than coniferous species; (3) underscores that afforestation using pine species does not result in a net loss of the whole soil-profile carbon stocks compared with initial values (agricultural soil) when the surface organic layer is included in the accounting; (4) demonstrates that clay-rich soils (> 33%) have a greater capacity to accumulate SOC than soils with a lower clay content (< 33%); (5) indicates that minimizing preplanting disturbances may increase the rate at which SOC stocks are replenished; and (6) suggests that afforestation carried out in the boreal climate zone results in small SOC losses compared with other climate zones, probably because trees grow more slowly under these conditions, although this does not rule out gains over time after the conversion. This study also highlights the importance of the methodological approach used when developing the sampling design, especially the inclusion of the organic layer in the accounting.     

Increasing leaf glutathione through stem feeding does not acclimate Eucalyptus camaldulensis seedlings towards high-light stress

Elevated foliar concentrations of glutathione (GSH) are a common stress response and potentially crucial in conferring increased stress tolerance. The present study addressed the following questions: can increased foliar GSH levels be achieved in the short term by applying a stem feeding technique to tree seedlings? If yes, will elevated GSH concentrations provide improved tolerance to the adverse effects of high-light stress? To this end Eucalyptus camaldulensis seedlings were stem fed a 5 mM GSH solution for 6–7 h before subjecting them to high-light exposure designed to induce photoinhibition. GSH in leaves was measured using a standard photometric method, and the effect of the high-light treatment was evaluated by the decrease in the optimum quantum efficiency of photosystem II (PSII) measured by chlorophyll fluorescence (F _v/F _m). Stem feeding GSH significantly increased GSH concentrations in the leaves up to 40% above control plants. Exposure to artificial high-light intensity for 3 h induced significant photoinhibition in leaves, measured by a 15% decrease in F _v/F _m. At the same time, photosynthesis and stomatal conductance measurements indicated that leaf physiology was not disrupted as a result of the stem feeding technique. However, we have no indication that elevated GSH increased tolerance; neither did it increase sensitivity of plants to high light-induced photoinhibition. This result was accompanied by maintained rates of photochemistry before and after light stress. Unlike previous GSH-related experiments increased tolerance by increasing the rate of photochemistry was not achieved in the present experiment.     

Menin and JunD regulate gastrin gene expression through proximal DNA elements

Mutations in the MEN1 gene correlate with multiple endocrine neoplasia I (MEN1). Gastrinomas are the most malignant of the neuroendocrine tumors associated with MEN1. Because menin and JunD proteins interact, we examined whether JunD binds to and regulates the gastrin gene promoter. Both menin and JunD are ubiquitous nuclear proteins that we showed colocalize in the gastrin-expressing G cells of the mouse antrum. Transfection with a JunD expression vector alone induced endogenous gastrin mRNA in AGS human gastric cells, and the induction was blocked by menin overexpression. We mapped repression by menin to both a nonconsensus AP-1 site and proximal GC-rich elements within the human gastrin promoter. Chromatin immunoprecipitation assays, EMSAs, and DNA affinity precipitation assays documented that JunD and Sp1 proteins bind these two elements and are both targets for menin regulation. Consistent with menin forming a complex with histone deacetylases, we found that repression of gastrin gene expression by menin was reversed by trichostatin A. In conclusion, proximal DNA elements within the human gastrin gene promoter mediate interactions between JunD, which induces gastrin gene expression and menin, which suppresses JunD-mediated activation.