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Nonmodel Organisms (nonmodel + organism)

Distribution by Scientific Domains

Life Sciences	100%

Selected Abstracts

To see in different seas: spatial variation in the rhodopsin gene of the sand goby (Pomatoschistus minutus)

MOLECULAR ECOLOGY, Issue 20 2009
MAARTEN H. D. LARMUSEAU
Abstract Aquatic organisms living in a range of photic environments require specific mechanisms to tune their visual pigments. Maximum absorbance (,max) of retinal rods in populations of the marine demersal sand goby, (Pomatoschistus minutus; Gobiidae, Teleostei) correlates with the local optic environment. It has been shown that this is not regulated through a physiological response by exchanging the rhodopsin chromophore. To test for evolutionary adaptation, the sequence of the rhodopsin (RH1) gene was analysed in 165 Pomatoschistus minutus individuals from seven populations across its distribution range. Analysis showed a high level of intraspecific polymorphism at the RH1 gene, including nonsynonymous mutations on amino acids, known as spectral tuning sites. Population differentiation at these sites was in agreement with the observed differentiation in ,max values. Analyses of dN/dS substitution rate ratios and likelihood ratio tests under site-specific models detected a significant signal of positive Darwinian selection on the RH1 gene. A strong discrepancy in differentiation was noticed between RH1 gene variation and the presumably neutral microsatellites and mitochondrial data. Samples did not cluster according to geographical or historical proximity with regards to RH1, but according to the general photic conditions of the habitat environment of the sand goby. This study highlights the usefulness of sensory genes, like rhodopsin, for studying the characteristics of local adaptation in marine nonmodel organisms. [source]

SNPs in ecological and conservation studies: a test in the Scandinavian wolf population

MOLECULAR ECOLOGY, Issue 2 2005
J. M. SEDDON
Abstract Single nucleotide polymorphisms (SNPs) have the potential to become the genetic marker of choice in studies of the ecology and conservation of natural populations because of their capacity to access variability across the genome. In this study, we provide one of the first demonstrations of SNP discovery in a wild population in order to address typical issues of importance in ecology and conservation in the recolonized Scandinavian and neighbouring Finnish wolf Canis lupus populations. Using end sequence from BAC (bacterial artificial chromosome) clones specific for dogs, we designed assays for 24 SNP loci, 20 sites of which had previously been shown to be polymorphic in domestic dogs and four sites were newly identified as polymorphic in wolves. Of the 24 assayed loci, 22 SNPs were found to be variable within the Scandinavian population and, importantly, these were able to distinguish individual wolves from one another (unbiased probability of identity of 4.33 × 10,8), providing equivalent results to that derived from 12 variable microsatellites genotyped in the same population. An assignment test shows differentiation between the Scandinavian and neighbouring Finnish wolf populations, although not all known immigrants are accurately identified. An exploration of the misclassification rates in the identification of relationships shows that neither 22 SNP nor 20 microsatellite loci are able to discriminate across single order relationships. Despite the remaining obstacle of SNP discovery in nonmodel organisms, the use of SNPs in ecological and conservation studies is encouraged by the advent of large scale screening methods. Furthermore, the ability to amplify extremely small fragments makes SNPs of particular use for population monitoring, where faecal and other noninvasive samples are routinely used. [source]

Prospects for inferring pairwise relationships with single nucleotide polymorphisms

MOLECULAR ECOLOGY, Issue 4 2003
Jeffrey C. Glaubitz
Abstract An extraordinarily large number of single nucleotide polymorphisms (SNPs) are now available in humans as well as in other model organisms. Technological advancements may soon make it feasible to assay hundreds of SNPs in virtually any organism of interest. One potential application of SNPs is the determination of pairwise genetic relationships in populations without known pedigrees. Although microsatellites are currently the marker of choice for this purpose, the number of independently segregating microsatellite markers that can be feasibly assayed is limited. Thus, it can be difficult to distinguish reliably some classes of relationship (e.g. full-sibs from half-sibs) with microsatellite data alone. We assess, via Monte Carlo computer simulation, the potential for using a large panel of independently segregating SNPs to infer genetic relationships, following the analytical approach of Blouin et al. (1996). We have explored a ,best case scenario' in which 100 independently segregating SNPs are available. For discrimination among single-generation relationships or for the identification of parent,offspring pairs, it appears that such a panel of moderately polymorphic SNPs (minor allele frequency of 0.20) will provide discrimination power equivalent to only 16,20 independently segregating microsatellites. Although newly available analytical methods that can account for tight genetic linkage between markers will, in theory, allow improved estimation of relationships using thousands of SNPs in highly dense genomic scans, in practice such studies will only be feasible in a handful of model organisms. Given the comparable amount of effort required for the development of both types of markers, it seems that microsatellites will remain the marker of choice for relationship estimation in nonmodel organisms, at least for the foreseeable future. [source]

OLFinder,a program which disentangles DNA sequences containing heterozygous indels

MOLECULAR ECOLOGY RESOURCES, Issue 2 2010
C. J. DIXON
Abstract The presence of heterozygous indels in a DNA sequence usually results in the sequence being discarded. If the sequence trace is of high enough quality, however, it will contain enough information to reconstruct the two constituent sequences with very little ambiguity. Solutions already exist using comparisons with a known reference sequence, but this is often unavailable for nonmodel organisms or novel DNA regions. I present a program which determines the sizes and positions of heterozygous indels in a DNA sequence and reconstructs the two constituent haploid sequences. No external data such as a reference sequence or other prior knowledge are required. Simulation suggests an accuracy of >99% from a single read, with errors being eliminable by the inclusion of a second sequencing read, such as one using a reverse primer. Diploid sequences can be fully reconstructed across any number of heterozygous indels, with two overlapping sequencing reads almost always sufficient to infer the entire DNA sequence. This eliminates the need for costly and laborious cloning, and allows data to be used which would otherwise be discarded. With no more laboratory work than is needed to produce two normal sequencing reads, two aligned haploid sequences can be produced quickly and accurately and with extensive phasing information. [source]