A Second-Generation Device for Automated Training and Quantitative Behavior Analyses of Molecularly-Tractable Model Organisms

A deep understanding of cognitive processes requires functional, quantitative analyses of the steps leading from genetics and the development of nervous system structure to behavior. Molecularly-tractable model systems such as Xenopus laevis and planaria offer an unprecedented opportunity to dissect the mechanisms determining the complex structure of the brain and CNS. A standardized platform that facilitated quantitative analysis of behavior would make a significant impact on evolutionary ethology, neuropharmacology, and cognitive science. While some animal tracking systems exist, the available systems do not allow automated training (feedback to individual subjects in real time, which is necessary for operant conditioning assays). The lack of standardization in the field, and the numerous technical challenges that face the development of a versatile system with the necessary capabilities, comprise a significant barrier keeping molecular developmental biology labs from integrating behavior analysis endpoints into their pharmacological and genetic perturbations. Here we report the development of a second-generation system that is a highly flexible, powerful machine vision and environmental control platform. In order to enable multidisciplinary studies aimed at understanding the roles of genes in brain function and behavior, and aid other laboratories that do not have the facilities to undergo complex engineering development, we describe the device and the problems that it overcomes. We also present sample data using frog tadpoles and flatworms to illustrate its use. Having solved significant engineering challenges in its construction, the resulting design is a relatively inexpensive instrument of wide relevance for several fields, and will accelerate interdisciplinary discovery in pharmacology, neurobiology, regenerative medicine, and cognitive science

From RFLP to DArT: molecular tools for wheat (Triticum spp.) diversity analysis

Wheat (Triticum spp.) is a universally lucrative agricultural crop. An increase in wheat production has been shown through selection by the farmers which can increase the grain profitability. The determination of genetic associations among domestic cultivars is facilitated by molecular markers. Data on genetic polymorphism is valuable for the germplasm association and regarding the developing management strategies. The information would be supportive for potential genome mapping programs and for the relevance of intellectual property rights of wheat breeders. Present review is an effort for providing support information to wheat breeders to develop varieties with varied genetic environment to attain continuity in large-scale wheat production. In this review, we have tried to provide a collective depiction of relevant information about the usage of some commonly used markers in wheat. It may help researchers to find out the frequentness and application of different markers and compare their results. The manuscript may serve as a platform helping the intellectuals for the selection and modification of their marker system in wheat diversity analysis. The heart of this review is the emphasis on the performance of various molecular genetic markers in diversity studies in relation to definite approaches that are in practice since several years allied with the multifaceted wheat molecular breeding and its polyploid nature