Vertical distribution of decapod larvae in the entrance of an equatorward facing bay of central Chile: implications for transport

Two short biophysical surveys were carried out in order to assesshow the decapod crustacean larvae vertical distribution andcirculation patterns in an equatorward facing embayment (Gulfof Arauco, 37° S; 73° W) influenced larval transportinto and out of the Gulf. The embayment is located at the upwellingarea of south central Chile and features a deep (     

Effect of Water Stress Induced by Polyethylene Glycol on Growth,Proline Accumulation in <i>Agave americana</i> L.

The effect of water deficit was determined on both in vitro and soil seedling as well as in cells in suspension of Agave americana L. In order to do the establishment of cells, the formation of callus was induced; for it two auxins were evaluated: 2,4-dichlorophenoxyacetic acid (2,4-D) and 4-mino-3,5,6-trichloropicolinic acid (picloram) at three concentrations (0.25, 0.5 and 0.75 mg L⁻¹) in three explants (leaf, root and meristems) cultured in MS semisolid medium. The callogenesis response was related to the type and section of the explant, as well as the regulator used, and a cell suspension was established using 0.5 mg L⁻¹ naphthaleneacetic acid (NAA) + 0.5 mg L⁻¹ Benzylaminopurine (BAP). Seedlings were exposed to polyethyleneglycol (15% and 30% w/v) with a water potential of −0.87 and −2.67 MPa, respectively, under soil conditions. Water stress was applied through restricted irrigation. Fresh weight, root system growth, and chlorophyll concentration were some of the parameters that were affected by the effect of water deficit on A. americana L. Chlorophyll concentration values were significantly decreased by 15 at 30% PEG (19.6 SPAD units) compared to the control treatment. In in vitro plants, the highest concentration of proline was found in the roots, being the treatment with 30% polyethylene glycol where the highest concentration of this osmoregulator was obtained (62.5 mg g⁻¹ DW). Under restricted irrigation conditions, an increase in proline concentration was observed both in the aerial part (2.2 µg 100 g⁻¹ DW) and in the root system (1.8 µg 100 g⁻¹ DW). However, the concentrations found were approximately ten times greater, less than those found under in vitro conditions. Therefore, the accumulation of proline can be considered an indicator of stress in Agave Americana L. growth in vitro.     

Conformational role for the C-terminal tail of the intrinsically disordered high mobility group A (HMGA) chromatin factors

The architectural factors HMGA are highly connected hubs in the chromatin network and affect key cellular functions. HMGA have a causal involvement in cancer development; in fact, truncated or chimeric HMGA forms, resulting from chromosomal rearrangements, lack the constitutively phosphorylated acidic C-terminal tail and display increased oncogenic potential, suggesting a functional role for this domain. HMGA belong to the intrinsically disordered protein category, and this prevents the use of classical approaches to obtain structural data. Therefore, we combined limited proteolysis, ion mobility separation-mass spectrometry (IMS-MS), and electrospray ionization-mass spectrometry (ESI-MS) to obtain structural information regarding full length and C-terminal truncated HMGA forms. Limited proteolysis indicates that HMGA acidic tail shields the inner portions of the protein. IMS-MS and ESI-MS show that HMGA proteins can assume a compact form and that the degree of compactness is dependent upon the presence of the acidic tail and its constitutive phosphorylations. Moreover, we demonstrate that C-terminal truncated forms and wild type proteins are post-translationally modified in a different manner. Therefore, we propose that the acidic tail and its phosphorylation could affect HMGA post-translational modification status and likely their activity. Finally, the mass spectrometry-based approach adopted here proves to be a valuable new tool to obtain structural data regarding intrinsically disordered proteins.     

Gene expression analysis supports tumor threshold over 2.0 cm for T-category breast cancer

Tumor size, as indicated by the T-category, is known as a strong prognostic indicator for breast cancer. It is common practice to distinguish the T1 and T2 groups at a tumor size of 2.0 cm. We investigated the 2.0-cm rule from a new point of view. Here, we try to find the optimal threshold based on the differences between the gene expression profiles of the T1 and T2 groups (as defined by the threshold). We developed a numerical algorithm to measure the overall differential gene expression between patients with smaller tumors and those with larger tumors among multiple expression datasets from different studies. We confirmed the performance of the proposed algorithm by a simulation study and then applied it to three different studies conducted at two Norwegian hospitals. We found that the maximum difference in gene expression is obtained at a threshold of 2.2–2.4 cm, and we confirmed that the optimum threshold was over 2.0 cm, as indicated by a validation study using five publicly available expression datasets. Furthermore, we observed a significant differentiation between the two threshold groups in terms of time to local recurrence for the Norwegian datasets. In addition, we performed an associated network and canonical pathway analyses for the genes differentially expressed between tumors below and above the given thresholds, 2.0 and 2.4 cm, using the Norwegian datasets. The associated network function illustrated a cellular assembly of the genes for the 2.0-cm threshold: an energy production for the 2.4-cm threshold and an enrichment in lipid metabolism based on the genes in the intersection for the 2.0- and 2.4-cm thresholds.     

Mapping protein-protein interactions for the yeast ABC transporter Ycf1p by integrated split-ubiquitin membrane yeast two-hybrid analysis

The ATP binding cassette (ABC) transporters are important in human health and disease and represent the largest family of transmembrane proteins; however, their highly hydrophobic nature complicates the use of standard biochemical approaches to identify interacting proteins. Here, we report the development of a modified version of the split-ubiquitin membrane yeast two-hybrid (MYTH) technology using genomically integrated "bait" constructs, hence the designation iMYTH. We used iMYTH in a library-screening format and identified six potential interacting partners of the yeast ABC transporter Ycf1p. Strains deleted for several of these genes result in arsenite sensitivity similar to a Deltaycf1 strain. Transport assays show that one of these, Tus1p, a guanine nucleotide exchange factor (GEF) for the small GTPase Rho1p, is a Rho1p-dependent-positive regulator of Ycf1p. Our study provides proof of principle that iMYTH is an ideal methodology to identify physiological interactors and regulators of ABC transporters and other yeast transmembrane proteins.     

Evolutionary and Biogeographic Insights on the Macaronesian Beta-Patellifolia Species (Amaranthaceae) from a Time-Scaled Molecular Phylogeny

The Western Mediterranean Region and Macaronesian Islands are one of the top biodiversity hotspots of Europe, containing a significant native genetic diversity of global value among the Crop Wild Relatives (CWR). Sugar beet is the primary crop of the genus Beta (subfamily Betoideae, Amaranthaceae) and despite the great economic importance of this genus, and of the close relative Patellifolia species, a reconstruction of their evolutionary history is still lacking. We analyzed nrDNA (ITS) and cpDNA gene (matK, trnH-psbA, trnL intron, rbcL) sequences to: (i) investigate the phylogenetic relationships within the Betoideae subfamily, and (ii) elucidate the historical biogeography of wild beet species in the Western Mediterranean Region, including the Macaronesian Islands. The results support the Betoideae as a monophyletic group (excluding the Acroglochin genus) and provide a detailed inference of relationships within this subfamily, revealing: (i) a deep genetic differentiation between Beta and Patellifolia species, which may have occurred in Late Oligocene; and (ii) the occurrence of a West-East genetic divergence within Beta, indicating that the Mediterranean species probably differentiated by the end of the Miocene. This was interpreted as a signature of species radiation induced by dramatic habitat changes during the Messinian Salinity Crisis (MSC, 5.96–5.33 Mya). Moreover, colonization events during the Pleistocene also played a role in shaping the current diversity patterns among and within the Macaronesian Islands. The origin and number of these events could not be revealed due to insufficient phylogenetic resolution, suggesting that the diversification was quite recent in these archipelagos, and unravelling potential complex biogeographic patterns with hybridization and gene flow playing an important role. Finally, three evolutionary lineages were identified corresponding to major gene pools of sugar beet wild relatives, which provide useful information for establishing in situ and ex situ conservation priorities in the hotspot area of the Macaronesian Islands.     

Climatically driven synchrony of gerbil populations allows large-scale plague outbreaks

In central Asia, the great gerbil (Rhombomys opimus) is the main host for the bacterium Yersinia pestis, the cause of bubonic plague. In order to prevent plague outbreaks, monitoring of the great gerbil has been carried out in Kazakhstan since the late 1940s. We use the resulting data to demonstrate that climate forcing synchronizes the dynamics of gerbils over large geographical areas. As it is known that gerbil densities need to exceed a threshold level for plague to persist, synchrony in gerbil abundance across large geographical areas is likely to be a condition for plague outbreaks at similar large scales. Here, we substantiate this proposition through autoregressive modelling involving the normalized differentiated vegetation index as a forcing covariate. Based upon predicted climate changes, our study suggests that during the next century, plague epizootics may become more frequent in central Asia.     

Early diagnosis, treatment and follow-up of cystic echinococcosis in remote rural areas in Patagonia: impact of ultrasound training of non-specialists

Cystic echinococcosis (CE) is a chronic, complex and neglected disease caused by the larval stage of Echinococcus granulosus. The effects of this neglect have a stronger impact in remote rural areas whose inhabitants have no chances of being diagnosed and treated properly without leaving their jobs and travelling long distances, sometimes taking days to reach the closest referral center.

Background

In 1980 our group set up a control program in endemic regions with CE in rural sections of Rio Negro, Argentina. Since 1997, we have used abdominopelvic ultrasound (US) as a screening method of CE in school children and determined an algorithm of treatment.

Objectives

To describe the training system of general practitioners in early diagnosis and treatment of CE and to evaluate the impact of the implementation of the field program.

Materials and Methods

In 2000, to overcome the shortage of radiologists in the area, we set up a short training course on Focused Assessment with Sonography for Echinococcosis (FASE) for general practitioners with no previous experience with US. After the course, the trainees were able to carry out autonomous ultrasound surveys under the supervision of the course faculty. From 2000 to 2008, trainees carried out 22,793 ultrasound scans in children from 6 to 14 years of age, and diagnosed 87 (0.4%) new cases of CE. Forty-nine (56.4%) were treated with albendazole, 29 (33.3%) were monitored expectantly and 9 (10.3%) were treated with surgery.

Discussion

The introduction of a FASE course for general practitioners allowed for the screening of CE in a large population of individuals in remote endemic areas with persistent levels of transmission, thus overcoming the barrier of the great distance from tertiary care facilities. The ability of local practitioners to screen for CE using US saved the local residents costly travel time and missed work and proved to be an efficacious and least expensive intervention tool for both the community and health care system.     

Nei's to Bayes': comparing computational methods and genetic markers to estimate patterns of genetic variation in Tolpis (Asteraceae)

Accurate determination of patterns of genetic variation provides a powerful inferential tool for studies of evolution and conservation. For more than 30 years, enzyme electrophoresis was the preferred method for elucidating these patterns. As a result, evolutionary geneticists have acquired considerable understanding of the relationship between patterns of allozyme variation and aspects of evolutionary process. Myriad molecular markers and statistical analyses have since emerged, enabling improved estimates of patterns of genetic diversity. With these advances, there is a need to evaluate results obtained with different markers and analytical methods. We present a comparative study of gene statistic estimates (F(ST), G(ST), F(IS), H(S), and H(T)) calculated from an intersimple sequence repeat (ISSR) and an allozyme data set derived from the same populations using both standard and Bayesian statistical approaches. Significant differences were found between estimates, owing to the effects of marker and analysis type. Most notably, F(ST) estimates for codominant data differ between Bayesian and standard approaches. Levels of statistical significance are greatly affected by methodology and, in some cases, are not associated with similar levels of biological significance. Our results suggest that caution should be used in equating or comparing results obtained using different markers and/or methods of analysis.