Single and multiple mating reduces longevity of female dumpling squid (Euprymna tasmanica).

For many species, mating is a necessary yet costly activity. The costs involved can have an important influence on the evolution of life histories and senescence. Females of many species mate multiply, and this behaviour can inflict a longevity cost. Most studies investigating the effects of multiple mating on female survival have been conducted on insects, and the effects in other taxa are largely unknown. We investigate the effects of both a single mating and a second mating on longevity in female dumpling squid (Euprymna tasmanica), a species in which both sexes mate multiply. Through comparing the longevity of virgin, once-mated and twice-mated females, we found that a single mating reduced female life span by 15 days on average. A second mating resulted in an additional 8 day (on average) longevity cost, despite no difference in total clutch mass, number of clutches, single egg mass or number of eggs per clutch between once-mated and twice-mated females. This demonstrates a cost to multiple mating which may be independent of the cost of egg production. Furthermore, total clutch mass and female life span were positively correlated, whereas female life span decreased with increasing average water temperature. The presence of an additive effect of reproduction on longevity suggests that multiple mating in cephalopods may have benefits that outweigh these costs, or that there is a conflict in optimal mating frequency between males and females.

Poor quality diet is associated with overweight status and obesity in patients with polycystic ovary syndrome.

BACKGROUND: The high rates of overweight status observed in women with polycystic ovary syndrome (PCOS) may reflect dietary intake, and so it is important to investigate diet quality and its relationship with the rates of overweight status and obesity among these patients. METHODS: A cross-sectional study was conducted in which 100 women with PCOS (Rotterdam criteria) were evaluated considering anthropometric and dietary data. The anthropometric evaluation included the measurement of weight, height, body mass index (BMI), waist circumference (WC), hip circumference and waist-hip ratio. Food intake data were collected from two 24-h dietary recalls to assess dietary patterns using the Brazilian Healthy Eating Index - Revised (BHEI-R). RESULTS: The anthropometric analysis indicated a high prevalence of overweight status, obesity and increased visceral fat (30.0%, 60.0% and 90.0%, respectively). The mean BHEI-R score was 56.1 ± 12.0 points (range 34.5-77.5 points). Diet quality was negatively correlated with obesity, which was evaluated by BMI (r = -0.248; P = 0.013) and WC (r = -0.278; P = 0.005). CONCLUSIONS: Dietary interventions focused on improvement of diet quality should be targeted to treat patients with PCOS because obesity in these women is associated with worsening endocrine, metabolic and reproductive functions.

Twenty-first century molecular methods for analyzing antimicrobial resistance in surface waters to support One Health assessments.

Antimicrobial resistance (AMR) in the environment is a growing global health concern, especially the dissemination of AMR into surface waters due to human and agricultural inputs. Within recent years, research has focused on trying to understand the impact of AMR in surface waters on human, agricultural and ecological health (One Health). While surface water quality assessments and surveillance of AMR have historically utilized culture-based methods, culturing bacteria has limitations due to difficulty in isolating environmental bacteria and the need for a priori information about the bacteria for selective isolation. The use of molecular techniques to analyze AMR at the genetic level has helped to overcome the difficulties with culture-based techniques since they do not require advance knowledge of the bacterial population and can analyze uncultivable environmental bacteria. The aim of this review is to provide an overview of common contemporary molecular methods available for analyzing AMR in surface waters, which include high throughput real-time polymerase chain reaction (HT-qPCR), metagenomics, and whole genome sequencing. This review will also feature how these methods may provide information on human and animal health risks. HT-qPCR works at the nanoliter scale, requires only a small amount of DNA, and can analyze numerous gene targets simultaneously, but may lack in analytical sensitivity and the ability to optimize individual assays compared to conventional qPCR. Metagenomics offers more detailed genomic information and taxonomic resolution than PCR by sequencing all the microbial genomes within a sample. Its open format allows for the discovery of new antibiotic resistance genes; however, the quantity of DNA necessary for this technique can be a limiting factor for surface water samples that typically have low numbers of bacteria per sample volume. Whole genome sequencing provides the complete genomic profile of a single environmental isolate and can identify all genetic elements that may confer AMR. However, a main disadvantage of this technique is that it only provides information about one bacterial isolate and is challenging to utilize for community analysis. While these contemporary techniques can quickly provide a vast array of information about AMR in surface waters, one technique does not fully characterize AMR nor its potential risks to human, animal, or ecological health. Rather, a combination of techniques (including both molecular- and culture-based) are necessary to fully understand AMR in surface waters from a One Health perspective.