2012
DOI: 10.1007/s12686-012-9650-5
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Development and characterization of 15 polymorphic microsatellite loci in Sonneratia alba (Lythraceae) using next-generation sequencing

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Cited by 4 publications
(3 citation statements)
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“…Eleven microsatellite markers for S. alba developed by [18] were selected based on their level of polymorphism and ease of multiplexing: SA102, SA103, SA105, SA106, SA108, SA110, SA112, SA113, SA115, SA117 and SA123. All loci were genotyped using fluorescent-labeled primers with the following dye-primer combinations-6-FAM: SA102, SA103, SA112 and SA11; VIC: SA105 and SA106; NED: SA108, SA110, SA117 and SA123; and PET: SA113.Polymerase chain reaction (PCR) was performed using Qiagen Multiplex PCR Kit (Qiagen, Hilden, Germany) in a final volume of 5 μL with 1 μL of DNA.…”
Section: Dna Extraction and Genotypingmentioning
confidence: 99%
See 1 more Smart Citation
“…Eleven microsatellite markers for S. alba developed by [18] were selected based on their level of polymorphism and ease of multiplexing: SA102, SA103, SA105, SA106, SA108, SA110, SA112, SA113, SA115, SA117 and SA123. All loci were genotyped using fluorescent-labeled primers with the following dye-primer combinations-6-FAM: SA102, SA103, SA112 and SA11; VIC: SA105 and SA106; NED: SA108, SA110, SA117 and SA123; and PET: SA113.Polymerase chain reaction (PCR) was performed using Qiagen Multiplex PCR Kit (Qiagen, Hilden, Germany) in a final volume of 5 μL with 1 μL of DNA.…”
Section: Dna Extraction and Genotypingmentioning
confidence: 99%
“…Fragment length was assigned by the GENEMAPPER 4.1 software (Applied Biosystems, Foster City, CA, USA) using GeneScan-600 LIZ size standard. Genotype data of MY4 (Sabah) were obtained from a published primer note [18]. …”
Section: Dna Extraction and Genotypingmentioning
confidence: 99%
“…An important conceptual shift with the advent of NGs technologies is that the aforementioned classical statistics, and newer concepts such as the coalescent, can be visualized as continuous variables distributed across a genome (Hohenlohe et al 2011). A critical aspect of these dense data is that they exhibit correlation among measurements at neighboring genomic regions that result from linkage disequilibrium (slatkin 2008(slatkin , Pritchard et al 2010. The degree to which this autocorrelation itself changes along the genome reflects selection and recombination as well as other evolutionary forces (charlesworth et al 2009).…”
Section: Continues Opposite Pagementioning
confidence: 99%