Amplified Fragment Length Polymorphism Procedure Research Articles

AFLP protocol comparison for microbial diversity fingerprinting.

Over the last decade, several methods based on genomic DNA have been developed for the identification and genotyping of prokaryotic and eukaryotic organisms. These genomic methods differ regarding taxonomic range, discriminatory power, reproducibility, and ease of interpretation and standardization. The amplified fragment length polymorphism (AFLP) technique is a very powerful DNA fingerprinting technique for DNA of any source or complexity, varying in both size and base composition. In addition, this method shows high discriminatory power and good reproducibility allowing it to be efficient in discriminating at both the species and strain levels. The development and application of AFLP have allowed significant progress in the study of biodiversity and taxonomy of microorganisms. In the last years, the Applied Biosystems AFLP Microbial Fingerprinting Kit, now out of production, was widely used in various studies to perform AFLP characterization of selected bacteria strains (described by Vos et al. (Nucleic Acids Res 23(21):4407-4414, 1995)). Its replacement gives the possibility for laboratories to continue the use of the previous AFLP data as a reference for bacteria genetic fingerprinting analysis in biodiversity studies. To overcome this issue a result comparison, by using an improved AFLP protocol and the AFLP commercial kit, was performed. In particular, previous results on different species (Listeria monocytogenes, Lactobacillus plantarum, and Streptococcus thermophilus) obtained with the commercial kit were compared with the improved AFLP procedure to validate the protocol. When compared with the AFLP Microbial Fingerprinting Kit, the improved protocol shows high reproducibility, resolution, and overall, is a faster method with lower costs.

AFLP markers for meat traceability of cattle in the Chinese market

Traceability can play an important role in preventing food fraud, reducing food risk, and increasing consumer's confidence in food safety. In this study, an amplified fragment length polymorphism procedure was used to identify 89 individuals from the most representative cattle breeds present in the Chinese market. Eight pairs of combined primers were obtained, which were E04M06, E04M44, E04M49, E33M48, E33M49, E39M06, E39M44, and E39M49. These eight primers produced a total of 1095 polymorphic fragments, and each one of the primers could successfully distinguish all the test individuals and the six breeds assessed.

Genetic stability of ectomycorrhizal fungi is not affected by cryopreservation at -130°C or cold storage with repeated sub-cultivations over a period of 2years.

Cryopreservation is considered the most reliable method for storage of filamentous fungi including ectomycorrhizal (ECM) fungi. A number of studies, however, have reported genetic changes in fungus cultures following cryopreservation. In the present study, the genetic stability of six ECM fungus isolates was analyzed using amplified fragment length polymorphism (AFLP). The isolates were preserved for 2years either by cryopreservation (at -130°C) or by storage at 4°C with regular sub-cultivation. A third preservation treatment consisting of isolates maintained on Petri dishes at 22-23°C for 2years (i.e., without any sub-cultivation) was included and used as a control. The differences observed in AFLP patterns between the three preservation methods remained within the range of the total error generated by the AFLP procedure (6.85%). Therefore, cryopreservation at -130°C and cold storage with regular sub-cultivation did not affect the genetic stability of the ECM fungus isolates, and both methods can be used for the routine storage of ECM fungus isolates over a period of 2years.

Amplified fragment length polymorphism: an adept technique for genome mapping, genetic differentiation, and intraspecific variation in protozoan parasites

With the advent of polymerase chain reaction (PCR), genetic markers are now accessible for all organisms, including parasites. Amplified fragment length polymorphism (AFLP) is a PCR-based marker for the rapid screening of genetic diversity and intraspecific variation. It is a potent fingerprinting technique for genomic DNAs of any origin or complexity and rapidly generates a number of highly replicable markers that allow high-resolution genotyping. AFLPs are convenient and reliable in comparison to other markers like random amplified polymorphic DNA, restriction fragment length polymorphism, and simple sequence repeat in terms of time and cost efficiency, reproducibility, and resolution as it does not require template DNA sequencing. In addition, AFLP essentially probes the entire genome at random, without prior sequence knowledge. So, AFLP markers have emerged as an advance type of genetic marker with broad application in genomic mapping, population genetics, and DNA fingerprinting and are ideally suited as screening tool for molecular markers linked with biological and clinical traits. This review describes the AFLP procedure and its applications and overview in the fingerprinting of a genome, which has been currently used in parasite genome research. We outline the AFLP procedure adapted for Leishmania genome study and discuss the benefits of AFLPs for assessing genetic variation and genome mapping over other existing molecular techniques. We highlight the possible use of AFLPs as genetic markers with its broad application in parasitological research because it allows random screening of the entire genome for linkage with genetic and clinical properties of the parasite. In this review, we have taken a pragmatic approach on the study of AFLP for genome mapping and polymorphism in protozoan parasites and conclude that AFLP is a very useful tool.

Evaluating the Relationship between Evolutionary Divergence and Phylogenetic Accuracy in AFLP Data Sets

Using in silico amplified fragment length polymorphism (AFLP) fingerprints, we explore the relationship between sequence similarity and phylogeny accuracy to test when, in terms of genetic divergence, the quality of AFLP data becomes too low to be informative for a reliable phylogenetic reconstruction. We generated DNA sequences with known phylogenies using balanced and unbalanced trees with recent, uniform and ancient radiations, and average branch lengths (from the most internal node to the tip) ranging from 0.02 to 0.4 substitutions per site. The resulting sequences were used to emulate the AFLP procedure. Trees were estimated by maximum parsimony (MP), neighbor-joining (NJ), and minimum evolution (ME) methods from both DNA sequences and virtual AFLP fingerprints. The estimated trees were compared with the reference trees using a score that measures overall differences in both topology and relative branch length. As expected, the accuracy of AFLP-based phylogenies decreased dramatically in the more divergent data sets. Above a divergence of approximately 0.05, AFLP-based phylogenies were largely inaccurate irrespective of the distinct topology, radiation model, or phylogenetic method used. This value represents an upper bound of expected tree accuracy for data sets with a simple divergence history; AFLP data sets with a similar divergence but with unbalanced topologies and short ancestral branches produced much less accurate trees. The lack of homology of AFLP bands quickly increases with divergence and reaches its maximum value (100%) at a divergence of only 0.4. Low guanine-cytosine (GC) contents increase the number of nonhomologous bands in AFLP data sets and lead to less reliable trees. However, the effect of the lack of band homology on tree accuracy is surprisingly small relative to the negative impact due to the low information content of AFLP characters. Tree-building methods based on genetic distance displayed similar trends and outperformed parsimony at low but not at high divergences. However, the impact of using alternative phylogenetic methods on tree accuracy was generally small relative to the uncertainty arising from factors such as divergence, nonhomology of bands, or the low information content of AFLP characters. Nevertheless, our data suggest that under certain circumstances, AFLPs may be suitable to reconstruct deeper phylogenies than usually accepted.

Statistical analysis of amplified fragment length polymorphism data: a toolbox for molecular ecologists and evolutionists

Recently, the amplified fragment length polymorphism (AFLP) technique has gained a lot of popularity, and is now frequently applied to a wide variety of organisms. Technical specificities of the AFLP procedure have been well documented over the years, but there is on the contrary little or scattered information about the statistical analysis of AFLPs. In this review, we describe the various methods available to handle AFLP data, focusing on four research topics at the population or individual level of analysis: (i) assessment of genetic diversity; (ii) identification of population structure; (iii) identification of hybrid individuals; and (iv) detection of markers associated with phenotypes. Two kinds of analysis methods can be distinguished, depending on whether they are based on the direct study of band presences or absences in AFLP profiles ('band-based' methods), or on allelic frequencies estimated at each locus from these profiles ('allele frequency-based' methods). We investigate the characteristics and limitations of these statistical tools; finally, we appeal for a wider adoption of methodologies borrowed from other research fields, like for example those especially designed to deal with binary data.

Vine‐1 retrotransposon‐based sequence‐specific amplified polymorphism for Vitis vinifera L. genotyping

AbstractThe sequence‐specific amplification polymorphism (S‐SAP) method, derived from the amplified fragment length polymorphism (AFLP) technique, produces amplified fragments containing retrotransposon long terminal repeat (LTR) sequence at one end and a host restriction site at the other. The development and application of this procedure to the LTR of the Vine‐1 element from grapevine is reported. Two primers derived from one of the LTR sequences flanking the retrotransposon were used in combination with MseI degenerated primers on 15 grapevine accessions. S‐SAP results were compared with AFLP data. The heterozygosity and gene diversity values were higher for S‐SAP than for the AFLP procedure. Results show that S‐SAP amplification is effective in identifying polymorphisms and defining genetic distances among cultivars, and could be used for fingerprinting and for ‘Traminer’ clone identification. To the contrary Vine‐1 retrotransposon‐based S‐SAP was not able to distinguish ‘Pinot’ clones.

Differentiation of the raw material of the Iberian pig meat industry based on the use of amplified fragment length polymorphism

The present study is the first step of the development of a new analytical technique to discriminate the genotypes of purebred Iberian and crossbred Iberian×Duroc pigs. A DNA test of breed identity has clear advantages for the protection of the brand name of high-prized products of purebred Iberian pigs. Amplified fragment length polymorphism procedure was used to analyze the genomic DNA samples of 77 Duroc and 80 Iberian pigs from the most representative populations. Thirteen primer combinations produced 588 amplified fragments. A total number of 139 fragments were polymorphic and 14 out of them were detected in Duroc and never in Iberian pigs. A panel of the nine most frequent markers allows the discrimination between purebred and crossbred animals. The values of the probability of exclusion of the pure Iberian origin ( P EC) were 0.97 and 0.78, for crossbred individuals with 50 or 25% of Duroc genes, respectively.

Simplified AFLP procedure as a tool for identification of strawberry cultivars and advanced breeding lines

DNA polymorphisms among 6 cultivars of Fragaria × ananassa (Duch.) and 13salinity tolerant clones were evaluated using simplified – PstI based Amplified Fragment Length Polymorphism procedure(PstIAFLP). Out of 129 amplification products obtained with 10 selective primers, 116 markers were polymorphic and could be used to distinguish all analyzed materials. Coordinate and cluster analyses revealed 2 main groups of clones and divided strawberry cultivars (CUL) and tested F1 hybrids of ‘Sweet Heart’(HYB). Mean genetic similarities in groups of cultivars and selected breeding lines (SEL) were significantly higher (0.722 and0.706, respectively, p < 0.05) than in group of SH hybrids (0.485). Results suggest that PstIAFLP method is sufficient for effective identification and useful for assessing the level of genetic diversity in strawberry cultivars and breeding lines. The presented method can bean alternative multilocus marker system to widespread RAPD method.

An assessment of the AFLP method for investigating population structure in the red alga Chondrus crispus Stackhouse (Gigartinales, Florideophyceae)

The appropriateness of the Amplified Fragment Length Polymorphism (AFLP) technique for investigating Chondrus crispus Stackhouse populations in the Maritime Provinces of Canada was assessed. The AFLP procedure was first subjected to reproducibility testing and three shortcomings were noted: 1) failure to reproduce band intensity between replicate runs for the same individual and primer pair; 2) failure of some bands to replicate; 3) lack of reproducibility for complete replicate runs for some individuals and primer pairs. In the last-mentioned case, the lack of reproducibility resulted in characteristic electropherograms indicative of weak reactions. These weak runs can be attributed to poor restriction digest/ligation reactions and/or substandard PCR, these failures ultimately resulting from low and inconsistent DNA quality. We recommend that reproducibility testing should be completed routinely in studies using the AFLP technique. In the current work, only fragments and individuals that gave reproducible results were used in subsequent analyses. The AFLP method resulted in highly variable markers within and between the populations of C. crispus included in this investigation, which prevented successful resolution of population structure. This situation could result from a lack of suitability for AFLP markers in population genetic studies, and/or too extensive genetic variation for C. crispus populations to be discerned by the AFLP technique. These two possible explanations are discussed.

AFLP fingerprinting for assessing intraspecific variation and genome mapping in mites.

Molecular genetic techniques have come a long way in the last decade. With the advent of PCR, genetic markers are now accessible for all organisms, including mites. However, there is usually a trade-off between the accuracy of the molecular technique or genetic marker and expediency. In mites, many molecular techniques are not applicable due to their small size. Here we describe a relatively new molecular fingerprinting technique, amplified fragment length polymorphism (AFLP), which is currently used widely in plant genomic research. We outline the AFLP procedure adapted for mites, show results using this technique from our own research and discuss the benefits and limitations of AFLPs for assessing genetic variation and for genome mapping. It is our intention to highlight the possible use of AFLPs as genetic markers with a broad application in acarological research.

Genomic relatedness of Chlamydia isolates determined by amplified fragment length polymorphism analysis.

The genomic relatedness of 19 Chlamydia pneumoniae isolates (17 from respiratory origin and 2 from atherosclerotic origin), 21 Chlamydia trachomatis isolates (all serovars from the human biovar, an isolate from the mouse biovar, and a porcine isolate), 6 Chlamydia psittaci isolates (5 avian isolates and 1 feline isolate), and 1 Chlamydia pecorum isolate was studied by analyzing genomic amplified fragment length polymorphism (AFLP) fingerprints. The AFLP procedure was adapted from a previously developed method for characterization of clinical C. trachomatis isolates. The fingerprints of all C. pneumoniae isolates were nearly identical, clustering together at a Dice similarity of 92.6% (+/- 1.6% standard deviation). The fingerprints of the C. trachomatis isolates of human, mouse, and swine origin were clearly distinct from each other. The fingerprints of the isolates from the human biovar could be divided into at least 12 different types when the presence or absence of specific bands was taken into account. The C. psittaci fingerprints could be divided into a parakeet, a pigeon, and a feline type. The fingerprint of C. pecorum was clearly distinct from all others. Cluster analysis of selected isolates from all species revealed groups other than those based on sequence data from single genes (in particular, omp1 and rRNA genes) but was in agreement with available DNA-DNA hybridization data. In conclusion, cluster analysis of AFLP fingerprints of representatives of all species provided suggestions for a grouping of chlamydiae based on the analysis of the whole genome. Furthermore, genomic AFLP analysis showed that the genome of C. pneumoniae is highly conserved and that no differences exist between isolates of respiratory and atherosclerotic origins.

Differentiation of bermudagrass (Cynodon spp.) genotypes by AFLP analyses

Bermudagrasses (Cynodon spp.) are major turfgrasses for home lawns, public parks, golf courses and sport fields, and are widely adapted to tropical and warmer temperate climates. Morphological and physiological characteristics are not sufficient to differentiate some bermudagrass genotypes because the differences between them are often subtle and subject to environmental influence. In this study, a DNA-typing technique, amplified fragment length polymorphism (AFLP), was used to differentiate bermudagrass genotypes and to explore their genetic relationships. Twenty seven bermudagrass cultivars and introductions, mostly from the Coastal Plain Experiment Station in Tifton, Ga., were assayed by the radioactive (32P) and the fluorescence-labeled AFLP methods. The AFLP technique produced enough polymorphism to differentiate all 27 bermudagrass genotypes, even the closely related ones. An average of 48–74 bands in the 30–600-bp size range was detected by the 32P-labeled AFLP method. The results indicated that most of the 14 primer combinations tested in this study could be used to distinguish bermudagrass genotypes, and that some single primer-pairs could differentiate all 27 of them. To test the reliability and reproducibility of the AFLP procedure, three DNA isolations (replications) of the 27 bermudagrass genotypes were assayed using five primer pairs. Only 0.6% of the bands were evaluated differently among the three replications. One replication of one genotype (which was most likely a planting contaminant) was grouped in an unexpected cluster using the Unweighted Pair Group Mean Average (UPGMA) method. A one- or two-band difference in scoring did not change the clustering of genotypes or the replications within genotypes. The 27 genotypes were grouped into three major clusters, many of which were in agreement with known pedigrees. Trees constructed with different primer combinations using 32P- and fluorescence-labelling formed similar major groupings. The semi-automated fluorescence-based AFLP technique offered significant improvements on fragment sizing and data handling. It was also more accurate for detection and more efficient than the radioactive labelling method. This study shows that the AFLP technique is a reliable tool for differentiating bermudagrass genotypes and for determining genetic relationships among them.

Amplified fragment length polymorphism (AFLP): a review of the procedure and its applications

Amplified fragment length polymorphism (AFLP) is a novel molecular fingerprinting technique that can be applied to DNAs of any source or complexity. Total genomic DNA is digested using two restriction enzymes. Double-stranded nucleotide adapters are ligated to the DNA fragments to serve as primer binding sites for PCR amplification. Primers complementary to the adapter and restriction site sequence, with additional nucleotides at the 3′-end, are used as selective agents to amplify a subset of ligated fragments. Polymorphisms are identified by the presence or absence of DNA fragments following analysis on polyacrylamide gels. This technique has been extensively used with plant DNA for the development of high-resolution genetic maps and for the positional cloning of genes of interest. However, its application is rapidly expanding in bacteria and higher eukaryotes for determining genetic relationships and for epidemiological typing. This review describes the AFLP procedure, and recent, novel applications in the molecular fingerprinting of DNA from both eukaryotic and prokaryotic organisms.

High-resolution DNA fingerprinting of parthenogenetic root-knot nematodes using AFLP analysis.

Amplified fragment length polymorphism (AFLP) analysis has been used to characterize 15 root-knot nematode populations belonging to the three parthenogenetic species Meloidogyne arenaria, M. incognita and M. javanica. Sixteen primer combinations were used to generate AFLP patterns, with a total number of amplified fragments ranging from 872 to 1087, depending on the population tested. Two kinds of polymorphic DNA fragments could be distinguished: bands amplified in a single genotype, and bands polymorphic between genotypes (i.e. amplified in not all but at least two genotypes). Based on presence/absence of amplified bands and pairwise similarity values, all the populations tested were clustered according to their specific status. Significant intraspecific variation was revealed by AFLP, with DNA fragments polymorphic among populations within each of the three species tested. M. arenaria appeared as the most variable species, while M. javanica was the least polymorphic. Within each specific cluster, no general correlation could be found between genomic similarity and geographical origin of the populations. The results reported here showed the ability of the AFLP procedure to generate markers useful for genetic analysis in root-knot nematodes.