Testing for genetic trade-offs between early- and late-life reproduction in a wild red deer population

The antagonistic pleiotropy (AP) theory of ageing predicts genetically based trade-offs between investment in reproduction in early life and survival and performance in later life. Laboratory-based research has shown that such genetic trade-offs exist, but little is currently known about their prevalence in natural populations. We used random regression 'animal model' techniques to test the genetic basis of trade-offs between early-life fecundity (ELF) and maternal performance in late life in a wild population of red deer (Cervus elaphus) on the Isle of Rum, Scotland. Significant genetic variation for both ageing rates in a key maternal performance measure (offspring birth weight) and ELF was present in this population. We found some evidence for a negative genetic covariance between the rate of ageing in offspring birth weight and ELF, and also for a negative environmental covariance. Our results suggest rare support for the AP theory of ageing from a wild population.     

Major quantitative trait loci affect resistance to infectious pancreatic necrosis in Atlantic salmon (Salmo salar)

Infectious pancreatic necrosis (IPN) is a viral disease currently presenting a major problem in the production of Atlantic salmon (Salmon salar). IPN can cause significant mortality to salmon fry within freshwater hatcheries and to smolts following transfer to seawater, although challenged populations show clear genetic variation in resistance. To determine whether this genetic variation includes loci of major effect, a genomewide quantitative trait loci (QTL) scan was performed within 10 full-sib families that had received a natural seawater IPN challenge. To utilize the large difference between Atlantic salmon male and female recombination rates, a two-stage mapping strategy was employed. Initially, a sire-based QTL analysis was used to detect linkage groups with significant effects on IPN resistance, using two to three microsatellite markers per linkage group. A dam-based analysis with additional markers was then used to confirm and position any detected QTL. Two genomewide significant QTL and one suggestive QTL were detected in the genome scan. The most significant QTL was mapped to linkage group 21 and was significant at the genomewide level in both the sire and the dam-based analyses. The identified QTL can be applied in marker-assisted selection programs to improve the resistance of salmon to IPN and reduce disease-related mortality.     

Arbuscular mycorrhizal fungi can transfer substantial amounts of nitrogen to their host plant from organic material

Nitrogen (N) capture by arbuscular mycorrhizal (AM) fungi from organic material is a recently discovered phenomenon. This study investigated the ability of two Glomus species to transfer N from organic material to host plants and examined whether the ability to capture N is related to fungal hyphal growth. Experimental microcosms had two compartments; these contained either a single plant of Plantago lanceolata inoculated with Glomus hoi or Glomus intraradices, or a patch of dried shoot material labelled with (15)N and (13)carbon (C). In one treatment, hyphae, but not roots, were allowed access to the patch; in the other treatment, access by both hyphae and roots was prevented. When allowed, fungi proliferated in the patch and captured N but not C, although G. intraradices transferred more N than G. hoi to the plant. Plants colonized with G. intraradices had a higher concentration of N than controls. Up to one-third of the patch N was captured by the AM fungi and transferred to the plant, while c. 20% of plant N may have been patch derived. These findings indicate that uptake from organic N could be important in AM symbiosis for both plant and fungal partners and that some AM fungi may acquire inorganic N from organic sources.     

New insights into the protective effect of manganese against oxidative stress

Manganese has emerged as an important trace element in bacterial physiology. The correlation between manganese accumulation and resistance to oxidative stress has led to the suggestion that, in addition to a role as a prosthetic group in superoxide dismutase, manganese could exert its antioxidant effect via non-enzymatic redox reactions. The article by Anjem et al. in the current issue of Molecular Microbiology investigates the role of manganese ions in the defence against hydrogen peroxide in Escherichia coli . The results indicate that the redox activity of manganese is not linked to its protective effect. Instead, it is suggested that manganese replaces ferrous iron in enzymes that contain divalent cations at their active site. This enables the cell to avoid oxidative stress associated with iron release in the presence of hydrogen peroxide.     

Genetic diversity and population structure in Malus sieversii, a wild progenitor species of domesticated apple

Malus sieversii (Lebed.) M. Roem. is a wild progenitor species of the domesticated apple. It is found across a mountainous region of central Asia and has been the focus of several collection expeditions by the USDA-ARS-National Plant Germplasm System. This study used microsatellite variation at seven loci to estimate diversity and differentiation within M. sieversii using several complimentary approaches. Multilocus genotypes were amplified from 949 individuals representing seedling trees from 88 half-sib families from eight M. sieversii populations collected in Kazakhstan. Apportioning of genetic variation was estimated at both the family and site level. Analyses using a hierarchical model to estimate F _st showed that differentiation among individual families is more than three times greater than differentiation among sites. In addition, average gene diversity and allelic richness varied significantly among sites. A rendering of a genetic network among all sites showed that differentiation is largely congruent with geographical location. In addition, nonhierarchical Bayesian assignment methods were used to infer genetic clusters across the collection area. We detected four genetic clusters in the data set. The quality of these assignments was evaluated over multiple Markov Chain Monte Carlo runs using both posterior likelihood and stability of the assignments. The spatial pattern of genetic assignments among the eight collection sites shows two broadly distributed and two narrowly distributed clusters. These data indicate that the southwestern collection sites are more admixed and more diverse than the northern sites.     

Proteomics Identification of Azaspiracid Toxin Biomarkers in Blue Mussels, Mytilus edulis

Azaspiracids are a class of recently discovered algae-derived shellfish toxins. Their distribution globally is on the increase with mussels being most widely implicated in azaspiracid-related food poisoning events. Evidence that these toxins were bound to proteins in contaminated mussels has been shown recently. In the present study characterization of these proteins in blue mussels, Mytilus edulis, was achieved using a range of advanced proteomics tools. Four proteins present only in the hepatopancreas of toxin-contaminated mussels sharing identity or homology with cathepsin D, superoxide dismutase, glutathione S-transferase Pi, and a bacterial flagellar protein have been characterized. Several of the proteins are known to be involved in self-defense mechanisms against xenobiotics or up-regulated in the presence of carcinogenic agents. These findings would suggest that azaspiracids should now be considered and evaluated as potential tumorigenic compounds. The presence of a bacterial protein only in contaminated mussels was an unexpected finding and requires further investigation. The proteins identified in this study should assist with development of urgently required processes for the rapid depuration of azaspiracid-contaminated shellfish. Moreover they may serve as early warning indicators of shellfish exposed to this family of toxins.Azaspiracids (AZAs)¹ are a group of recently discovered algae-derived toxins following a shellfish poisoning event in 1995 in The Netherlands from consumption of Irish mussels (Mytilus edulis) (1). Initially the dinoflagellate Protoperidinium crassipes was proposed to be the organism producing AZAs (2); however, recent research has identified a new dinoflagellate, provisionally designated strain 3D9, as the source (3). Since the first AZA poisoning event in 1995 AZA incidents have been widely reported throughout Europe (4–6) and more recently in Morocco and eastern Canada (7, 8). AZA distribution thus appears to be on the increase and has become a public health concern and poses severe problems for the aquaculture industry. A regulatory limit of 160 μg of AZA/kg of shellfish in flesh has been proposed (9, 10) by the European Commission based on current information relating to the risks of consumption of contaminated shellfish.The most widely implicated species in AZA-associated food poisoning is mussels (7, 11). The blue mussel, M. edulis, has been widely used as a sentinel species for monitoring coastal environments and environmental pollution (12–14). Thus the recent appearance of AZAs could be considered as an indication of environmental changes that we do not as yet understand. A number of biochemical markers are known to be a good guide of the level of environmental stress to which living organisms have been subjected. It is also recognized that mussels produce proteins that can act as biomarkers to environmental contamination. Proliferating cell nuclear antigen and multixenobiotic resistance polyglycoprotein were revealed as biomarkers for genotoxic stress derived from benzo[a]pyrene in Baltic Sea blue mussels (15). Cu,Zn-superoxide dismutase (SOD), GSTs, and catalase are also well established biomarkers for the assessment of environmental stress in mussels following organic pollution and heavy metal exposure (16–21).Proteomics has proven to be a powerful technique for characterizing proteins expressed in specific tissues for many factors ranging from species differences to exposure to stress. For instance, López et al. (22) used proteomics to expand their understanding of the molecular differentiation between the mussels M. edulis and Mytilus galloprovincialis, whereas Apraiz et al. (23) identified the proteomic signatures in mussels exposed to marine pollutants.In the current study a range of advanced proteomics tools was used to further study the different protein profiles we recently observed between AZA-contaminated and non-contaminated mussels (24). Their identification and characterization may provide information toward identifying the mode of action of the toxins, which is currently unknown, and provide an indication as to why the AZA phenomenon has arisen so recently. If as recently suggested (24) prolonged AZA retention in shellfish is due to their association with proteins, then suitable processes could be developed to speed up the unusually low rates of depuration, which can take up to 8 months (25). A further important rationale for the work would be the identification of biomarkers that may serve as early warning indicators of AZA contamination in shellfish.     

Mathematical modelling of radiotherapy strategies for early breast cancer

Targeted intraoperative radiotherapy (Targit) is a new concept of partial breast irradiation where single fraction radiotherapy is delivered directly to the tumour bed. Apart from logistic advantages, this strategy minimizes the risk of missing the tumour bed and avoids delay between surgery and radiotherapy. It is presently being compared with the standard fractionated external beam radiotherapy (EBRT) in randomized trials. In this paper we present a mathematical model for the growth and invasion of a solid tumour into a domain of tissue (in this case breast tissue), and then a model for surgery and radiation treatment of this tumour. We use the established linear-quadratic (LQ) model to compute the survival probabilities for both tumour cells and irradiated breast tissue and then simulate the effects of conventional EBRT and Targit. True local recurrence of the tumour could arise either from stray tumour cells, or the tumour bed that harbours morphologically normal cells having a predisposition to genetic changes, such as a loss of heterozygosity (LOH) in genes that are crucial for tumourigenesis, e.g. tumour suppressor genes (TSGs). Our mathematical model predicts that the single high dose of radiotherapy delivered by Targit would result in eliminating all these sources of recurrence, whereas the fractionated EBRT would eliminate stray tumour cells, but allow (by virtue of its very schedule) the cells with LOH in TSGs or cell-cycle checkpoint genes to pass on low-dose radiation-induced DNA damage and consequently mutations that may favour the development of a new tumour. The mathematical model presented here is an initial attempt to model a biologically complex phenomenon that has until now received little attention in the literature and provides a 'proof of principle' that it is possible to produce clinically testable hypotheses on the effects of different approaches of radiotherapy for breast cancer.     

A Major Histocompatibility Class I Locus Contributes to Multiple Sclerosis Susceptibility Independently from HLA-DRB1*15:01

Background

In Northern European descended populations, genetic susceptibility for multiple sclerosis (MS) is associated with alleles of the human leukocyte antigen (HLA) Class II gene DRB1. Whether other major histocompatibility complex (MHC) genes contribute to MS susceptibility is controversial.

Methodology/Principal Findings

A case control analysis was performed using 958 single nucleotide polymorphisms (SNPs) spanning the MHC assayed in two independent datasets. The discovery dataset consisted of 1,018 cases and 1,795 controls and the replication dataset was composed of 1,343 cases and 1,379 controls. The most significantly MS-associated SNP in the discovery dataset was rs3135391, a Class II SNP known to tag the HLA-DRB1*15:01 allele, the primary MS susceptibility allele in the MHC (O.R. = 3.04, p<1×10⁻⁷⁸). To control for the effects of the HLA-DRB1*15:01 haplotype, case control analysis was performed adjusting for this HLA-DRB1*15:01 tagging SNP. After correction for multiple comparisons (false discovery rate = .05) 52 SNPs in the Class I, II and III regions were significantly associated with MS susceptibility in both datasets using the Cochran Armitage trend test. The discovery and replication datasets were merged and subjects carrying the HLA-DRB1*15:01 tagging SNP were excluded. Association tests showed that 48 of the 52 replicated SNPs retained significant associations with MS susceptibility independently of the HLA-DRB1*15:01 as defined by the tagging SNP. 20 Class I SNPs were associated with MS susceptibility with p-values ≤1×10⁻⁸. The most significantly associated SNP was rs4959039, a SNP in the downstream un-translated region of the non-classical HLA-G gene (Odds ratio 1.59, 95% CI 1.40, 1.81, p = 8.45×10⁻¹³) and is in linkage disequilibrium with several nearby SNPs. Logistic regression modeling showed that this SNP''s contribution to MS susceptibility was independent of the Class II and Class III SNPs identified in this screen.

Conclusions

A MHC Class I locus contributes to MS susceptibility independently of the HLA-DRB1*15:01 haplotype.