In mammals, leptin acts on leptin receptor (LepR) -expressing neurons in the brain to suppress food intake and stimulate whole-body metabolism. A similar action of leptin on food intake has been reported in the frog Xenopus laevis and in several bony fishes. However, the intracellular signaling and neural pathways by which leptin regulates energy balance have not been investigated outside of mammals. Using reporter assays and site-directed mutagenesis we show that the frog LepR signals via signal transducer and activator of transcription (STAT) 3 and STAT5 through evolutionarily conserved tyrosine residues in the LepR cytoplasmic domain. In situ hybridization histochemistry for LepR mRNA in brain and pituitary showed strong expression in the magno- and parvocellular divisions of the anterior preoptic area (homologous to the mammalian paraventricular nucleus), the suprachiasmatic nucleus, ventral hypothalamus, and pars intermedia and pars distalis of the anterior pituitary. Leptin injection increased phosphorylated STAT3 immunoreactivity in LepR mRNA-positive cells, and induced socs3 and pomc mRNAs. Microarray analysis of preoptic area/hypothalamus/pituitary 2 hours after leptin injection identified leptin-regulated genes that included c-fos, a known leptin-activated gene; pituitary follicle-stimulating hormone subunit β, suggesting an important role for leptin in the reproductive axis of frogs; and B-cell translocation factor 2, which has important functions in neurogenesis. Our findings support that the intracellular signaling pathways and neural substrates that mediate leptin actions on energy balance were present in the common ancestor of modern amphibians and amniotes and have been conserved over 350 million years of evolutionary time.
Fourteen microsatellite DNA markers were developed for studies of gene flow in the Neotropical rain forest tree Virola surinamensis. The loci were unlinked and polymorphic in a sample of 21 individuals, with two to 10 alleles per locus and observed heterozygosity ranging from 0.14 to 0.76. The overall exclusion probability (0.997) indicates high resolution for parentage-based analyses of gene flow.
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