Zooplankton Community Structure and Inter‐Annual Dynamics in Two Sand‐Pit Lakes with Different Dredging Impact

Zooplankton seasonal and inter‐annual dynamics were investigated in two neighbouring sand‐pit lakes with similar morphological features but different exploitation regime. We hypothesized that the dredging activities affected the zooplankton communities and the hydrochemical conditions of the studied lakes. Significant differences in zooplankton abundance were found. The analysis of similarity (ANOSIM) revealed that plankton communities were different between lakes and that the microcrustaceans largely contributed to the average dissimilarity. In particular, the lower densities of cladocerans and the presence of large‐size species in the lake still under dredging during this study appeared to be related to the resuspension of sand in the water column. We report how the zooplankton communities evolved toward an higher taxonomical and functional diversity after conclusion of the dredging activities. (© 2009 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)     

Porcine liver low Mr phosphotyrosine protein phosphatase: The amino acid sequence

Porcine low M_r phosphotyrosine protein phosphatase has been purified and the complete amino acid sequence has been determined. Both enzymic and chemical cleavages are used to obtain protein fragments. FAB mass spectrometry and enzymic subdigestion followed by Edman degradation have been used to determine the structure of the NH₂-terminal acylated tryptic peptide. The enzyme consists of 157 amino acid residues, is acetylated at the NH₂-terminus, and has arginine as COOH-terminal residue. It shows kinetic parameters very similar to other known low Mr PTPases. This PTPase is strongly inhibited by pyridoxal 5′-phosphate (K=21ΜM) like the low Mr PTPases from bovine liver, rat liver (AcP2 isoenzyme), and human erythrocyte (Bslow isoenzyme). The comparison of the 40–73 sequence with the corresponding sequence of other low Mr PTPases from different sources demonstrates that this isoform is highly homologous to the isoforms mentioned above, and shows a lower homology degree with respect to rat AcP1 and human Bfast isoforms. A classification of low M_r PTPase isoforms based on the type-specific sequence and on the sensitivity to pyridoxal 5?-phosphate inhibition has been proposed.     

Entropy calculator: getting the best from your multiple protein alignments

Amino acid sequence alignment is an extremely useful tool in protein family analysis. Most family characteristics, such as the localization of functional residues, structural constraints and evolutionary relationships may be retrieved through the observation of the conservation pattern highlighted by the alignments. A quantitative score for the conservation in the alignment allows different stages of an alignment to be compared and consequently the alignment information to be efficiently exploited. Many scoring methods have been proposed during the last three decades. Claude Shannon's theory of communication (1948) paved the way for a consistent scoring of protein alignments by considering the residue (or symbol) frequency. A number of modifications have been proposed since that time, but the core statistical approach is still considered one of the best. By combining many database managing tools for treatment of protein sequences, a ClustalW software integration, a flexible symbols treatment and gap normalization functions, Entropy Calculator software has been developed. This new tool provides a global and optimal approach to multiple sequence alignment scoring by offering an easy graphic interface and a series of modification options that help in interpreting alignments and allow conservation pattern inferences to be performed.     

Microbiome-based disease prediction with multimodal variational information bottlenecks

Scientific research is shedding light on the interaction of the gut microbiome with the human host and on its role in human health. Existing machine learning methods have shown great potential in discriminating healthy from diseased microbiome states. Most of them leverage shotgun metagenomic sequencing to extract gut microbial species-relative abundances or strain-level markers. Each of these gut microbial profiling modalities showed diagnostic potential when tested separately; however, no existing approach combines them in a single predictive framework. Here, we propose the Multimodal Variational Information Bottleneck (MVIB), a novel deep learning model capable of learning a joint representation of multiple heterogeneous data modalities. MVIB achieves competitive classification performance while being faster than existing methods. Additionally, MVIB offers interpretable results. Our model adopts an information theoretic interpretation of deep neural networks and computes a joint stochastic encoding of different input data modalities. We use MVIB to predict whether human hosts are affected by a certain disease by jointly analysing gut microbial species-relative abundances and strain-level markers. MVIB is evaluated on human gut metagenomic samples from 11 publicly available disease cohorts covering 6 different diseases. We achieve high performance (0.80 < ROC AUC < 0.95) on 5 cohorts and at least medium performance on the remaining ones. We adopt a saliency technique to interpret the output of MVIB and identify the most relevant microbial species and strain-level markers to the model’s predictions. We also perform cross-study generalisation experiments, where we train and test MVIB on different cohorts of the same disease, and overall we achieve comparable results to the baseline approach, i.e. the Random Forest. Further, we evaluate our model by adding metabolomic data derived from mass spectrometry as a third input modality. Our method is scalable with respect to input data modalities and has an average training time of < 1.4 seconds. The source code and the datasets used in this work are publicly available.     

In Vitro Identification of Histatin 5 Salivary Complexes

With recent progress in the analysis of the salivary proteome, the number of salivary proteins identified has increased dramatically. However, the physiological functions of many of the newly discovered proteins remain unclear. Closely related to the study of a protein’s function is the identification of its interaction partners. Although in saliva some proteins may act primarily as single monomeric units, a significant percentage of all salivary proteins, if not the majority, appear to act in complexes with partners to execute their diverse functions. Coimmunoprecipitation (Co-IP) and pull-down assays were used to identify the heterotypic complexes between histatin 5, a potent natural antifungal protein, and other salivary proteins in saliva. Classical protein–protein interaction methods in combination with high-throughput mass spectrometric techniques were carried out. Co-IP using protein G magnetic Sepharose TM beads suspension was able to capture salivary complexes formed between histatin 5 and its salivary protein partners. Pull-down assay was used to confirm histatin 5 protein partners. A total of 52 different proteins were identified to interact with histatin 5. The present study used proteomic approaches in conjunction with classical biochemical methods to investigate protein–protein interaction in human saliva. Our study demonstrated that when histatin 5 is complexed with salivary amylase, one of the 52 proteins identified as a histatin 5 partner, the antifungal activity of histatin 5 is reduced. We expected that our proteomic approach could serve as a basis for future studies on the mechanism and structural-characterization of those salivary protein interactions to understand their clinical significance.     

Santa Rosalia,the icon of biodiversity

This article summarizes the results presented in a series of invited contributions which were submitted to celebrate the fiftieth anniversary of publication of the seminal article “Homage to Santa Rosalia or why are there so many kinds of animals” by G.E. Hutchinson. The authors were asked to explore old and new paradigms of biodiversity in aquatic ecosystems. The contributions by Hutchinson in this field are truly landmarks in the history of modern ecological sciences. The authors of the contributed articles, stimulated by one of the most fruitful concept articles in ecology that has appeared over the last half century, have shown that scientific investigation, although still seeking the causes underlying diversity maintenance, is moving toward (i) the understanding of the functions and mechanisms of diversity in ecosystems and (ii) the evaluation of the role of a diversified assemblage in ensuring the integrity of ecosystem services.     

Synergistic anti‐proliferative and pro‐apoptotic activity of combined therapy with bortezomib,a proteasome inhibitor,with anti‐epidermal growth factor receptor (EGFR) drugs in human cancer cells

The article to which this erratum refers was published in J Cell Physiol (2008) 216: 698–707. © 2008 Wiley‐Liss, Inc. DOI: 10.1002/jcp.21444