Marine Environments

1946 Words4 Pages

In marine environments, the geographical distribution of species is usually larger than the dispersal ability of individuals who compose it (Knowlton, 1993), so that over time populations can differ genetically by isolation by distance : those nearby towns will be more similar than those more distant populations (Bossart & Prowell, 1998, Poulin et al., 2001).

However, there is no single cause and set the general limits of distribution of species, why in the last decade there has been a growing interest and defines the ecological and evolutionary processes that affect the distribution of these groups animals. In most of these studies have considered topics such as geographic barriers (Carballo et al., 1997, Boury-Esnault et al., 1999), ocean currents (Billingham & Ayre, 1996), fragmentation of habitats (King et al. , 1999; Pfenninger & Posada, 2002), local population dynamics (Toyohara et al., 1999; Tarjuelo et al., 2001) and differences in the modes of development (Todd et al., 1998, Kyle & Boulding, 2000; Collin, 2001). With respect to the modes of development and given that in the marine environment there is no obvious barriers to dispersal such as in terrestrial environments, the expected standard indicates that species with high dispersal potential, would have a wider distribution and population structure in less Clearly, those species with low dispersal potential (De Wolf et al., 1998, Meyer 2003). Example of this are studies Bahonak (1999) and Collin (2001) who indicate a statistically significant relationship between larval dispersal ability and geographic subdivision levels.

However, a considerable number of studies (Hellberg, 1996; Hoskin, 1997, Cunningham & Collins, 1998; Benzie, 1999, and references therein) do not ag...

... middle of paper ...

...ure of populations in their natural environment.

This research aims to generate information base to support efforts in the development of closed-cycle cultivation of rock shrimp and scaling back production. Basing the foundation for future breeding programs of this kind.

The genetic structure of populations has been studied in terms of statistical-F, since Wright (1978) propose to measure the deviation of genotype frequencies using parameters FIS, FIT and FST. Currently, parameter estimation can be performed by use of molecular information present in the populations that make up the sample with the method known as analysis of molecular variance (AMOVA) (Excoffier et al., 1992). There are various estimates of the genetic variability that are used when working with DNA sequences, the most common: Haplotype diversity and nucleotide diversity (π n) (Fontdevila, 1999).

Open Document