Invasive blue mussels threaten regional scale genetic diversity in mainland and remote offshore locations: the need for baseline data and enhanced protection in the Southern Ocean

Human‐mediated biological transfers of species have substantially modified many ecosystems with profound environmental and economic consequences. However, in many cases, invasion events are very hard to identify because of the absence of an appropriate baseline of information for receiving sites/regions. In this study, use of high‐resolution genetic markers (single nucleotide polymorphisms – SNPs) highlights the threat of introduced Northern Hemisphere blue mussels (Mytilus galloprovincialis) at a regional scale to Southern Hemisphere lineages of blue mussels via hybridization and introgression. Analysis of a multispecies SNP dataset reveals hotspots of invasive Northern Hemisphere blue mussels in some mainland New Zealand locations, as well as the existence of unique native lineages of blue mussels on remote oceanic islands in the Southern Ocean that are now threatened by invasive mussels. Samples collected from an oil rig that has moved between South Africa, Australia, and New Zealand were identified as invasive Northern Hemisphere mussels, revealing the relative ease with which such non‐native species may be moved from region to region. In combination, our results highlight the existence of unique lineages of mussels (and by extension, presumably of other taxa) on remote offshore islands in the Southern Ocean, the need for more baseline data to help identify bioinvasion events, the ongoing threat of hybridization and introgression posed by invasive species, and the need for greater protection of some of the world's last great remote areas.     

Gelsolin rs1078305 and rs10818524 polymorphisms were associated with risk of oral squamous cell carcinoma in a Chinese Han population

Background: Gelsolin (GSN) is one of the most abundant actin-binding proteins, and is involved in cancer development and progression.

Patients and methods: A hospital-based case-control study including 201 patients with OSCC and 199 healthy controls was conducted. Seventeen single-nucleotide polymorphisms (SNPs) of GSN were investigated by Sequenom Mass ARRAY and iPLEX-MALDI-TOF technology.

Results: Through comparison of the 17 SNPs on GSN gene between the two groups, SNP rs1078305 and rs10818524 were verified to be significantly associated with an increased risk of OSCC. For GSN rs1078305, the TT genotype was associated with increased risk for OSCC (OR?=?1.92, 95% CI?=?1.11–3.32, p?=?0.028). CT/TT variants were also associated with increased risk for OSCC compared to the CC genotype (OR?=?1.83, 95% CI?=?1.25–3.84, p?=?0.032).

Conclusion: The rs1078305 and rs10818524 SNPs of GSN were associated with increased risk for OSCC development in a Chinese Han population.     

In silico mining of microsatellites and analysis of genetic diversity among inter‐ and intra‐generic aphids of the subfamily Aphidinae

Nearly 5 000 aphid species damage crops, either by sucking plant sap or as disease‐transmitting vectors. Microsatellites are used for understanding molecular diversity and eco‐geographical relationships among aphid species. Expressed sequence tag (EST)‐microsatellite motifs were identified through an in silico approach using inbuilt simple sequence repeat mining tools in aphid EST dataset. Microsatellite mining revealed one in every five aphid genes as containing a repeat motif, and out of 9 290 EST microsatellites mined from Aphis gossypii Glover and Acyrthosiphon pisum (Harris) (both Hemiptera: Aphididae), 80% were of A and/or T (AT, ATA, AAT, AATA, and ATTT) motifs, and the rest contained G and/or C motifs. All microsatellite sequences were annotated using BLAST. Primers for EST microsatellites were designed using the Primer 3.0 tool. 106 primer pairs of both dinucleotide repeats (DNRs) and trinucleotide repeats (TNRs), representing open reading frames (ORFs) and untranslated regions (UTRs), were synthesized to amplify 15 aphid species belonging to the subfamily Aphidinae, collected from diverse hosts. Four hundred forty‐five polymorphic alleles were amplified. Fifty TNR and 23 DNR microsatellites amplified across the species studied. Polymorphism information content values of microsatellites ranged from 0.23 to 0.91, amplifying 2–16 alleles. Genetic similarity indices were estimated using the ‘NTSYS‐pc’ software package. Unweighted pair group with arithmetic mean and principal component analysis resolved taxonomic relationships of the aphid species studied. The new aphid microsatellites developed will provide valuable information to researchers to study Indian aphid species diversity and genetic relationships.     

From Single Variants to Protein Cascades: MULTISCALE MODELING OF SINGLE NUCLEOTIDE VARIANT SETS IN GENETIC DISORDERS*

Understanding the role of genetics in disease has become a central part of medical research. Non-synonymous single nucleotide variants (nsSNVs) in coding regions of human genes frequently lead to pathological phenotypes. Beyond single variations, the individual combination of nsSNVs may add to pathogenic processes. We developed a multiscale pipeline to systematically analyze the existence of quantitative effects of multiple nsSNVs and gene combinations in single individuals on pathogenicity. Based on this pipeline, we detected in a data set of 842 nsSNVs discovered in 76 genes related to cardiomyopathies, associated nsSNV combinations in seven genes present in at least 70% of all 639 patient samples, but not in a control cohort of healthy humans. Structural analyses of these revealed primarily an influence on the protein stability. For amino acid substitutions located at the protein surface, we generally observed a proximity to putative binding pockets. To computationally analyze cumulative effects and their impact, pathogenicity methods are currently being developed. Our approach supports this process, as shown on the example of a cardiac phenotype but can be likewise applied to other diseases such as cancer.     

High levels of genetic structure and striking phenotypic variability in a sexually dimorphic suckermouth catfish from the African Highveld

Uncovering biological diversity to more accurately understand diversity patterns, and ultimately the processes driving diversification, is important not only from an evolutionary perspective but also a conservation perspective. This is particularly pertinent in Africa's rivers in which overall diversity, as well as how it arose, is poorly understood in comparison with lacustrine environments. Here we investigate population divergence in the sexually dimorphic suckermouth catfish species Chiloglanis anoterus (Crass, 1960) from the African Highveld, in which we observe striking variability in exaggerated male caudal fins across its range. As this trait is likely to be indirect evidence for sexual selection by female choice, a mechanism that has been shown to increase species diversity in different taxa, we used an integrated approach to test if current diversity in this species is underestimated. Results based on phylogenetic inference, population genetics and geometric morphometrics indicate that the recognized species C. anoterus represents five distinct lineages that may be considered confirmed candidate species. We suggest that diversification in these highland catfish has been facilitated through geographical isolation in upper river catchments, and that sexual selection through female choice has probably driven variation in male caudal fin morphology. In contrast to the relatively large range size of the currently recognized species (C. anoterus), our findings highlight highly restricted ranges of the lineages identified here, indicating that these highland habitats may harbour higher levels of endemic diversity than previously thought.     

Insight into genetic relation and diversity of cultivated and semi-domesticated under-utilized Crotalaria species gained using start codon targeted (SCoT) markers

To augment conventional crop improvement approaches in cultivated sunnhemp (Crotalaria juncea L.) and other under-utilized Crotalaria species, genetic diversity of 94 genotypes from seven Crotalaria species was studied using 20 Start Codon Targeted (SCoT) markers. High allele number (1.32), polymorphism information content (0.37) and resolving power (6.59) established SCoT as a reliable marker system for genetic analysis in Crotalaria. All the species except Crotalaria retusa L. exhibited high number of SCoT amplicons. Analysis of molecular variance revealed significant variability between (24.0%) the species as well as within species (76.0%). A cluster analysis identified distinct groups corresponding to the seven species and also identified sub-groups within the species. The sunnhemp cultivars were distant from the landraces, suggesting the need of population improvement using distantly related genotypes. Species relationship identified Crotalaria pallida Aiton to be a close relative of C. juncea. The results of principal coordinate analysis were comparable to that of cluster analysis, revealing high genetic variability in sunnhemp and other semi-domesticated Crotalaria species. The study further suggests some measure for conservation of genetic resources and genetic improvement of these species based on the results of diversity analysis.     

GST M1/T1 and MTHFR polymorphisms as risk factors for hypertension

The aim of this study is to investigate GSTM1, GSTT1 and MTHFR genetic polymorphisms and its relation with total plasma glutathione (tGSH) levels in hypertension. Genotype distributions of GSTM1 and GSTT1 deletion polymorphisms and C677T variant of MTHFR were examined in a sample of 94 hypertensive patients with congestive heart failure and 207 healthy unrelated Portuguese individuals using PCR techniques. Plasma GST activity was determined spectrophotometrically. The antioxidant status was evaluated by fluorometric assays of tGSH. Genotype distributions of GSTT1 (chi2 test; p < 0.01) and MTHFR (chi2 test; p < 0.01) differ significantly between control and hypertensive patients with a greater prevalence of "non-null GSTT1/M1" and CT (heterozygous) genotypes. Moreover, GST activity and tGSH were markedly decreased in hypertension but there is no correlation with the studied polymorphisms. GSH depletion confirmed the possible involvement of oxidative stress in this pathology. Deletion of GSTT1 gene might be considered as protective factor for hypertension.     

Restriction Fragment Length Polymorphism and Random Amplified Polymorphic DNA Analysis of Chickpea Accessions

Genetic diversity analysis was carried out in chickpea accessions using restriction fragment length polymorphism (RFLP) and random amplified polymorphic DNA (RAPD) techniques. RFLP analysis using 26 Pst I sub-genomic clones on ten chickpea accessions in 130 probe-enzyme combinations detected polymorphism with only two clones. Pst I clones, CG 141 detected polymorphism in ICC 4918 and Pusa 209 while CG 500 detected polymorphism in Pusa 261, ILC 26 and in ILC 13326. These clones detected very few polymorphic markers. Analysis using 10 Eco RI clones on twelve chickpea accessions have shown better hybridisation signal and one clone detected polymorphism in Pusa 256. RFLP analysis of both cultivated and wild Cicer species using heterologous DNA probe Cab3C revealed polymorphism only in wild Cicer species (Cicer reticulatum L., JM 2100). RAPD analysis of 13 chickpea accessions which includes mutants of C 235 and E100Y showed greater degree of polymorphism with 1 - 5 unique DNA bands for all the accessions. Phylogenetic analysis of the RAPD data helped to group the accessions. C 235 and its mutants were found to be closely grouped while E100Y and its mutant E100Ym grouped apart. Desi and kabuli chickpea accessions however, could not be separately grouped. This revised version was published online in July 2006 with corrections to the Cover Date.