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Optimization of AFLP for extremely large genomes over 70 Gb
- Source :
- Molecular Ecology Resources. 16:933-945
- Publication Year :
- 2016
- Publisher :
- Wiley, 2016.
-
Abstract
- Here, we present an improved amplified fragment length polymorphism (AFLP) protocol using restriction enzymes (AscI and SbfI) that recognize 8-base pair sequences to provide alternative optimization suitable for species with a genome size over 70 Gb. This cost-effective optimization massively reduces the number of amplified fragments using only +3 selective bases per primer during selective amplification. We demonstrate the effects of the number of fragments and genome size on the appearance of nonidentical comigrating fragments (size homoplasy), which has a negative impact on the informative value of AFLP genotypes. We also present various reaction conditions and their effects on reproducibility and the band intensity of the extremely large genome of Viscum album. The reproducibility of this octo-cutter protocol was calculated using several species with genome sizes ranging from 1 Gb (Carex panicea) to 76 Gb (V. album). The improved protocol also succeeded in detecting high intraspecific variability in species with large genomes (V. album, Galanthus nivalis and Pinus pumila).
- Subjects :
- 0301 basic medicine
Genetics
DNA, Plant
Genotyping Techniques
Reproducibility of Results
DNA Restriction Enzymes
Computational biology
Plants
Biology
biology.organism_classification
Genome
Intraspecific competition
03 medical and health sciences
Restriction enzyme
030104 developmental biology
Genotype
Amplified fragment length polymorphism
Amplified Fragment Length Polymorphism Analysis
Primer (molecular biology)
Genome size
Genome, Plant
Ecology, Evolution, Behavior and Systematics
Biotechnology
Galanthus nivalis
Subjects
Details
- ISSN :
- 1755098X
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- Molecular Ecology Resources
- Accession number :
- edsair.doi.dedup.....7905e17a6bb93c404fd16af1eb24633b
- Full Text :
- https://doi.org/10.1111/1755-0998.12506