Larval Transport Modeling of Deep-Sea Invertebrates Can Aid the Search for Undiscovered Populations

Background: Many deep-sea benthic animals occur in patchy distributions separated by thousands of kilometres, yet because deep-sea habitats are remote, little is known about their larval dispersal. Our novel method simulates dispersal by combining data from the Argo array of autonomous oceanographic probes, deep-sea ecological surveys, and comparative invertebrate physiology. The predicted particle tracks allow quantitative, testable predictions about the dispersal of benthic invertebrate larvae in the south-west Pacific. Principal Findings: In a test case presented here, using non-feeding, non-swimming (lecithotrophic trochophore) larvae of polyplacophoran molluscs (chitons), we show that the likely dispersal pathways in a single generation are significantly shorter than the distances between the three known population centres in our study region. The large-scale density of chiton populations throughout our study region is potentially much greater than present survey data suggest, with intermediate ‘stepping stone’ populations yet to be discovered. Conclusions/Significance: We present a new method that is broadly applicable to studies of the dispersal of deep-sea organisms. This test case demonstrates the power and potential applications of our new method, in generating quantitative, testable hypotheses at multiple levels to solve the mismatch between observed and expected distributions: probabilistic predictions of locations of intermediate populations, potential alternative dispersal mechanisms, and expected population genetic structure. The global Argo data have never previously been used to address benthic biology, and our method can be applied to any non-swimming larvae of the deep-sea, giving information upon dispersal corridors and population densities in habitats that remain intrinsically difficult to assess.

Pharmaceutical care of patients with congestive heart failure: Interventions and outcomes

We evaluated a structured pharmaceutical care program for elderly patients (> 65 yrs) with congestive heart failure (CHF) based on objective measures of disease control, quality of life, and use of health care facilities in a randomized, controlled, longitudinal, prospective clinical trial. The 42 patients in group A received education from a pharmacist on the disease and its treatment, and lifestyle changes that could help control symptoms. Patients also were encouraged to monitor their symptoms and comply with prescribed drug therapy. If necessary, dosage regimens were simplified in liaison with hospital physicians. The 41 control patients (group B) received standard care. The following outcome measures were assessed in all patients at baseline (before the start of the trial) and at 3, 6, 9, and 12 months: 2-minute walk test, blood pressure, body weight, pulse, forced vital capacity, quality of life [disease-specific (Minnesota Living with Heart Failure questionnaire) and generic (SF-36)], knowledge of symptoms and drugs, compliance with therapy, and use of health care facilities (hospital admissions, visits to emergency room, emergency calls). Patients in group A showed improved compliance with drug therapy, which in turn improved their exercise capacity compared with those in group B; education on management of symptoms, lifestyle changes, and dietary recommendations were also of benefit. Group A patients significantly improved knowledge of their drug therapy over the 12-month study and had fewer hospital admissions compared with group B patients. They also had improved outcomes compared with group B, despite the small samples. An extension of this trial to other sites with pooling of results would provide additional evidence of the value of this structured program in elderly patients with CHF.

The VLT-FLAMES survey of massive stars: NGC 346-013 as a test case for massive close binary evolution

Context. NGC 346-013 is a peculiar double-lined eclipsing binary in the Small Magellanic Cloud (SMC) discovered by the VLT-FLAMES survey of massive stars.