Related Experiment Video
Updated: Jul 2, 2025
Laboratory Protocol for Genetic Gut Content Analyses of Aquatic Macroinvertebrates Using Group-specific rDNA Primers
Published on: October 5, 2017
Estimation of genetic diversity of the exotic Indian trout populations by using microsatellite markers
Walter Devaa1, Vimal Panneerselvam, Ramesh Uthandakalaipandian
1Department of Molecular Biology, School of Biological Sciences, Madurai Kamaraj University, Madurai 625 021,India, ramesh.biological@mkuniversity.org.
Abstract:
Rainbow trout (Oncorhynchus mykiss) and brown trout (Salmo trutta fario) are popular salmonid species that are reared for sport and recreational activities worldwide. In India, they were introduced and successfully established in the late 19th and early 20th centuries by the European settlers. However, until now, no studies have analysed the genetic integrity of wild trout populations in India. Therefore, this study aimed to analyse the genetic integrity of the wild rainbow trout populations from south India, one wild rainbow trout population from north India, and one wild brown trout population from north India. Genetic diversity studies revealed low genetic diversity in all the population with genetic bottlenecks in two trout populations from south India and disruption of alleles in the populations from north India. The results showed that the south Indian trout populations are in a comparatively poor condition than the north Indian trout populations, and stocking efforts have recently been carried out to enhance the genetic diversity of south Indian trout populations.
Related Concept Videos
01:24Testing a Claim about Population Proportion
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
01:11Testing a Claim about Mean: Known Population SD
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...