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This very large set of potential genomic-SSR markers will facilitate the construction of high-resolution maps for positional cloning and QTL mapping.
This very large set of chromosome-specific SSRs, distributed evenly throughout the chromosomes, provides an invaluable resource for cotton genome researches, and it will facilitate the construction of high-resolution maps for positional gene-cloning and marker-assisted breeding.
The utility of physical maps for positional gene cloning and genomic studies is limited until the contigs of BAC clones are ordered along chromosomes, usually with the help of high density genetic maps.
This very large set of potential microsatellite markers, distributed throughout the genome, will facilitate the development of high-resolution maps for positional gene-cloning and detailed comparative mapping, among other applications.
Ease in SBP marker development and application to any genomic regions, and genome-wide abundance of SNPs make this technology suitable for mapping experiments, especially to develop high density molecular maps for positional gene cloning experiments, if the assembled genome sequence and physical maps of the studied species are available.
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The value of the physical map for positional cloning would be further enhanced by anchoring more contigs onto the genetic maps efficiently and accurately.
Soil maps rely upon accurate base maps, both for positional reference and to provide environmental data that can assist in the prediction of soil properties.
These will be useful when creating mapping populations for positional cloning.
The BAC library and physical map provide tools for positional cloning, comparative genomics and whole genome sequencing of V. virens.
Traditional interval mapping is suitable for positional cloning of Mendelian mutations, but would not be fruitful here because a given fish with a recombination event that might narrow a critical interval may, due to incomplete penetrance, be of either sex.
The genotyping quality (Cluster separation [ 39], minor allele frequency) and map position data obtained for the different SNPs will help in the design of different panels utilisable for building consensus genetic maps, to study diversity, for positional cloning or in association mapping studies.
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