A haplotype of the norepinephrine transporter (Net) gene Slc6a2 is associated with clinical response to atomoxetine in attention-deficit hyperactivity disorder (ADHD).

Atomoxetine is a specific inhibitor of the norepinephrine transporter (NET) that has demonstrated efficacy in the treatment of children with attention-deficit hyperactivity disorder (ADHD). We investigated whether polymorphisms in the NET/SLC6A2 gene may influence atomoxetine response in ADHD. Two independent cohorts of 160 and 105 ADHD children treated for 6 weeks with atomoxetine (0.5-1.8 mg/kg per day) were genotyped on CYP2D6, which metabolizes atomoxetine, and 108 single nucleotide polymorphisms in the NET/SLC6A2 gene. Response was defined as a minimum decrease of 25% in ADHD Rating Scale IV-Parent Version and a Clinical Global Impression-Severity (CGI-S) score less than or equal to 2 at week 6. Interindividual response was independent of the genetic variants of CYP2D6. Significant (p<0.05) associations between 20 NET/SLC6A2 single nucleotide polymorphisms (SNPs) and clinical efficacy in atomoxetine responders, compared with non-responders, were observed. The genomic region across exons 4 to 9 of NET/SLC6A2, where 36 SNPs have been genotyped, was associated with treatment response in both cohorts (p<0.01, odds ratio=2.2 and p=0.026, odds ratio=6.3, respectively), in the combined cohort (p<0.01, odds ratio=1.83), and in the subgroup of Caucasians only (p=0.02, odds ratio=1.8). Clinical efficacy of atomoxetine treatment in ADHD shows potential dependence upon a series of genetic polymorphisms of its mechanistic target, the norepinephrine transporter. Taking into account the high heritability of ADHD, the significance of the present finding and replication of a similar haplotype allele sequence result in an independent cohort, it is suggested that further assessment of this region could be useful in determining response to atomoxetine in ADHD.

The cost-effectiveness of biodiversity surveys in tropical forests.

The identification of high-performance indicator taxa that combine practical feasibility and ecological value requires an understanding of the costs and benefits of surveying different taxa. We present a generic and novel framework for identifying such taxa, and illustrate our approach using a large-scale assessment of 14 different higher taxa across three forest types in the Brazilian Amazon, estimating both the standardized survey cost and the ecological and biodiversity indicator value for each taxon. Survey costs varied by three orders of magnitude, and dung beetles and birds were identified as especially suitable for evaluating and monitoring the ecological consequences of habitat change in our study region. However, an exclusive focus on such taxa occurs at the expense of understanding patterns of diversity in other groups. To improve the cost-effectiveness of biodiversity research we encourage a combination of clearer research goals and the use of an objective evidence-based approach to selecting study taxa.

Effects of selective logging on bat communities in the southeastern Amazon.

Although extensive areas of tropical forest are selectively logged each year, the responses of bat communities to this form of disturbance have rarely been examined. Our objectives were to (1) compare bat abundance, species composition, and feeding guild structure between unlogged and low-intensity selectively logged (1-4 logged stems/ha) sampling grids in the southeastern Amazon and (2) examine correlations between logging-induced changes in bat communities and forest structure. We captured bats in understory and canopy mist nets set in five 1-ha study grids in both logged and unlogged forest. We captured 996 individuals, representing 5 families, 32 genera, and 49 species. Abundances of nectarivorous and frugivorous taxa (Glossophaginae, Lonchophyllinae, Stenodermatinae, and Carolliinae) were higher at logged sites, where canopy openness and understory foliage density were greatest. In contrast, insectivorous and omnivorous species (Emballonuridae, Mormoopidae, Phyllostominae, and Vespertilionidae) were more abundant in unlogged sites, where canopy foliage density and variability in the understory stratum were greatest. Multivariate analyses indicated that understory bat species composition differed strongly between logged and unlogged sites but provided little evidence of logging effects for the canopy fauna. Different responses among feeding guilds and taxonomic groups appeared to be related to foraging and echolocation strategies and to changes in canopy cover and understory foliage densities. Our results suggest that even low-intensity logging modifies habitat structure, leading to changes in bat species composition.