New insights to the molecular phylogenetics and generic assessment in the Rhacophoridae (Amphibia: Anura) based on five nuclear and three mitochondrial genes, with comments on the evolution of reproduction

The phylogenetic relationships among 12 genera of treefrogs (Family, Rhacophoridae), were investigated based on a large sequence data set, including five nuclear (brain-derived neurotrophic factor, proopiomelanocortin, recombination activating gene 1, tyr

How drugs from marine sources are isolated and produced

The document illustrates the processes on the isolation of bioactive compounds from marine organisms and the production of marine drugs.

Future drugs from the sea

The article presents several marine chemicals that are likely candidates for future drugs. There sources and applications were also discussed.

Generic allocation of Indian and Sri Lankan Philautus (Anura: Rhacophoridae) inferred from 12S and 16S rRNA genes

The generic allocation of Indian and Sri Lankan Philautus needs further examination. In this study, a comprehensive understanding of the phylogeny of Indian and Sri Lankan Philautus is obtained based on 125 and 16S rRNA genes. All phylogenetic analyses indicate that Indian-Sri Lankan Philautus, Philautus menglaensis, Philautus longchuanensis, and Philautus gryllus form a well supported clade, separate from Philautus of Sunda Islands that form another well supported clade representing true Philautus. This result supports the designation of the genus Pseudophilautus to accommodate the Indian and Sri Lankan species. Pseudophilautus consists of two major lineages, one comprises the majority of Indian species, Chinese species, and Southeast Asian species, and one comprises all Sri Lankan species and a few Indian species. Pseudophilautus may have originated in South Asia and dispersed into Southeast Asia and China. Based on the results, we further suggest that Philautus cf. gryllus (MNHN1997.5460) belongs to the genus Kurixalus. (C) 2010 Published by Elsevier Ltd.

Achieving robust face recognition from video by combining a weak photometric model and a learnt generic face invariant

In spite of over two decades of intense research, illumination and pose invariance remain prohibitively challenging aspects of face recognition for most practical applications. The objective of this work is to recognize faces using video sequences both for training and recognition input, in a realistic, unconstrained setup in which lighting, pose and user motion pattern have a wide variability and face images are of low resolution. The central contribution is an illumination invariant, which we show to be suitable for recognition from video of loosely constrained head motion. In particular there are three contributions: (i) we show how a photometric model of image formation can be combined with a statistical model of generic face appearance variation to exploit the proposed invariant and generalize in the presence of extreme illumination changes; (ii) we introduce a video sequence re-illumination algorithm to achieve fine alignment of two video sequences; and (iii) we use the smoothness of geodesically local appearance manifold structure and a robust same-identity likelihood to achieve robustness to unseen head poses. We describe a fully automatic recognition system based on the proposed method and an extensive evaluation on 323 individuals and 1474 video sequences with extreme illumination, pose and head motion variation. Our system consistently achieved a nearly perfect recognition rate (over 99.7% on all four databases). © 2012 Elsevier Ltd All rights reserved.