Amongst farmed crustaceans, the giant freshwater prawn Macrobrachium rosenbergii was until recently one of the major species with high commercial value. Lately, it has lost popularity due to diseases and differential growth of males on account of social hierarchy. The species can reacquire its former preferred status if it is genetically improved for growth and disease resistance. Selective breeding is greatly facilitated by marker-assisted selection (MAS). Single nucleotide polymorphisms (SNPs) offer the finest resolution possible for a marker map (a single nucleotide change), are co-dominant, bi-allelic and generally abundant in populations with a low mutation rate. DNA sequencing through NGS platforms is regarded as the most cost-effective approach. In this study, SNP mining was carried out in the transcribed sequences of M. rosenbergii available in GenBank, NCBI. Wild specimens were collected from different water bodies. Primers were designed to amplify coding (CDS) and sequenced the amplicons on GS-FLX 454 and Ion torrent platforms. 173 SNPs were detected across populations. This approach for mining SNPs in reported sequences has been used by us for the first time.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Amongst farmed crustaceans, the giant freshwater prawn Macrobrachium rosenbergii was until recently one of the major species with high commercial value. Lately, it has lost popularity due to diseases and differential growth of males on account of social hierarchy. The species can reacquire its former preferred status if it is genetically improved for growth and disease resistance. Selective breeding is greatly facilitated by marker-assisted selection (MAS). Single nucleotide polymorphisms (SNPs) offer the finest resolution possible for a marker map (a single nucleotide change), are co-dominant, bi-allelic and generally abundant in populations with a low mutation rate. DNA sequencing through NGS platforms is regarded as the most cost-effective approach. In this study, SNP mining was carried out in the transcribed sequences of M. rosenbergii available in GenBank, NCBI. Wild specimens were collected from different water bodies. Primers were designed to amplify coding (CDS) and sequenced the amplicons on GS-FLX 454 and Ion torrent platforms. 173 SNPs were detected across populations. This approach for mining SNPs in reported sequences has been used by us for the first time. 88 pp. Englisch. N° de réf. du vendeur 9786200440051
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: agarwal DeepakDeepak Agarwal has done graduation in fisheries science from G.B.P.U.A & T Pantnagar University. He holds his Ph.D. in Fish Biotechnology from CIFE, Mumbai. He received a VC gold medal for the highest marks in UG an. N° de réf. du vendeur 330554007
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Amongst farmed crustaceans, the giant freshwater prawn Macrobrachium rosenbergii was until recently one of the major species with high commercial value. Lately, it has lost popularity due to diseases and differential growth of males on account of social hierarchy. The species can reacquire its former preferred status if it is genetically improved for growth and disease resistance. Selective breeding is greatly facilitated by marker-assisted selection (MAS). Single nucleotide polymorphisms (SNPs) offer the finest resolution possible for a marker map (a single nucleotide change), are co-dominant, bi-allelic and generally abundant in populations with a low mutation rate. DNA sequencing through NGS platforms is regarded as the most cost-effective approach. In this study, SNP mining was carried out in the transcribed sequences of M. rosenbergii available in GenBank, NCBI. Wild specimens were collected from different water bodies. Primers were designed to amplify coding (CDS) and sequenced the amplicons on GS-FLX 454 and Ion torrent platforms. 173 SNPs were detected across populations. This approach for mining SNPs in reported sequences has been used by us for the first time.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch. N° de réf. du vendeur 9786200440051
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Amongst farmed crustaceans, the giant freshwater prawn Macrobrachium rosenbergii was until recently one of the major species with high commercial value. Lately, it has lost popularity due to diseases and differential growth of males on account of social hierarchy. The species can reacquire its former preferred status if it is genetically improved for growth and disease resistance. Selective breeding is greatly facilitated by marker-assisted selection (MAS). Single nucleotide polymorphisms (SNPs) offer the finest resolution possible for a marker map (a single nucleotide change), are co-dominant, bi-allelic and generally abundant in populations with a low mutation rate. DNA sequencing through NGS platforms is regarded as the most cost-effective approach. In this study, SNP mining was carried out in the transcribed sequences of M. rosenbergii available in GenBank, NCBI. Wild specimens were collected from different water bodies. Primers were designed to amplify coding (CDS) and sequenced the amplicons on GS-FLX 454 and Ion torrent platforms. 173 SNPs were detected across populations. This approach for mining SNPs in reported sequences has been used by us for the first time. N° de réf. du vendeur 9786200440051
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. NGS Approach for Variant Discovery in Giant Freshwater Prawn | An NGS approach to mine SNP from the amplicons of Macrobrachium rosenbergii | Deepak Agarwal (u. a.) | Taschenbuch | 88 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200440051 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 117643679
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Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
paperback. Etat : New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. N° de réf. du vendeur ERICA82962004400506
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