Genetic comparison of Bacillus anthracis and its close relatives using amplified fragment length polymorphism and polymerase chain reaction analysis

Amplified fragment length polymorphism (AFLP) analysis allows a rapid, relatively simple analysis of a large portion of a microbial genome, providing information about the species and its phylogenetic relationship to other microbes (Vos et al. 1995). The method simply surveys the genome for length and sequence polymorphisms. The AFLP pattern identified can be used for comparison to the genomes of other species. Unlike other methods, it does not rely on analysis of a single genetic locus that may bias the interpretation of results and does not require any prior knowledge of the targeted organism. Moreover, a standard set of reagents can be applied to any species without using species-specific information or molecular probes. We are using AFLP analysis to rapidly identify different bacterial species. A comparison of AFLP profiles generated from a large battery of Bacillus anthracis strains shows very little variability among different isolates (Keim et al. 1997). By contrast, there is a significant difference between AFLP profiles generated for any B. anthracis strain and even the most closely related Bacillus species. Sufficient variability is apparent among all known microbial species to allow phylogenetic analysis based on large numbers of genetically unlinked loci. These striking differences among AFLP profiles allow unambiguous identification of previously identified species and phylogenetic placement of newly characterized isolates relative to known species based on a large number of independent genetic loci. Data generated thus far show that the method provides phylogenetic analyses that are consistent with other widely accepted phylogenetic methods. However, AFLP analysis provides a more detailed analysis of the targets and samples a much larger portion of the genome. Consequently, it provides an inexpensive, rapid means of characterizing microbial isolates to further differentiate among strains and closely related microbial species. Such information cannot be rapidly generated by other means. AFLP sample analysis quickly generates a very large amount of molecular information about microbial genomes. However, this information cannot be analysed rapidly using manual methods. We are developing a large archive of electronic AFLP signatures that is being used to identify isolates collected from medical, veterinary, forensic and environmental samples. We are also developing the computational packages necessary to rapidly and unambiguously analyse the AFLP profiles and conduct a phylogenetic comparison of these data relative to information already in our database. We will use this archive and the associated algorithms to determine the species identity of previously uncharacterized isolates and place them phylogenetically relative to other microbes based on their AFLP signatures. This study provides significant new information about microbes with environmental, veterinary and medical significance. This information can be used in further studies to understand the relationships among these species and the factors that distinguish them from one another. It should also allow the identification of unique factors that contribute to important microbial traits, including pathogenicity and virulence. We are also using AFLP data to identify, isolate and sequence DNA fragments that are unique to particular microbial species and strains. The fragment patterns and sequence information provide insights into the complexity and organization of bacterial genomes relative to one another. They also provide the information necessary for the development of species-specific polymerase chain reaction primers that can be used to interrogate complex samples for the presence of B. anthracis, other microbial pathogens or their remnants.     

AFLP标记的特点及其在昆虫学研究中的应用

扩增片段长度多态性（AFLP）是一种新兴的很有效的分子遗传标记方法, 它通过对基因组DNA限制性内切酶酶切片段进行选择性扩增而揭示多态性,具有快速、经济简便、不需要预先知道模板DNA的信息、模板需要量少、重复性高、结果可靠及具有很高的信息含量等优点。AFLP也具有缺点,主要是标记是显性的,同其他显性标记一样,不能区分杂合体和纯合体,因而不能更好地估算种群遗传的变异,对种群遗传结构的分析不能提供更多的统计信息;AFLP技术较复杂,而且经常使用放射性同位素,对模板DNA质量要求也较高。为了克服AFLP的这些缺点,人们又在其基础上发展了其他相关技术,例如AFRP、SAMPL、DALP和TE-AFLP等。目前AFLP在昆虫方面的应用还不是很多,处于初级阶段,主要应用在生态型鉴定、种群遗传分析、连锁图谱构建等方面,相信随着其技术的发展完善,必将会越来越多地应用于昆虫学的研究中。     

我国西北春麦区小麦育成品种遗传多样性的AFLP分析

对我国西北春麦区56份小麦育成品种应用扩增片段长度多态性(Amplified Fragment Length Polmorphics,简称AFLP)分子标记技术进行遗传多样性分析。共用24对引物组合进行扩增,每对引物组合的平均多态性条带为14．7,多态性百分率为24．4,而多态性信息指数PIC范围为0．11～0．44,平均0．22。结合品种的系谱亲缘关系分析,得知依据AFLP数据的类群划分结果与品种的亲缘系谱关系基本一致,表明AFLP技术用于种质鉴定和遗传多样性研究是有效的、可取的;同时。对如何合理应用AFLP数据中的多态性带和共有带进行聚类分析,及如何正确对待小麦核心种质构建中的形态和农艺性状数据与分子数据的问题作了进一步的探讨。仅用多态性谱带产生的相似系数矩阵与用所有扩增谱带产生的相似系数矩阵之间的相关系数r=0．86,表明在利用AFLP进行品种间遗传关系分析时,利用所有扩增产物的信息是必要的;如果仅仅是为了鉴剐品种或压缩样品,完全可以只考虑多态性扩增产物。利用AFLP分子数据和田间数据对56份材料进行主成分分析(PCO),发现用田间数据产生的PCO图,材料之间分散,遗传关系不很明了,进一步压缩样品难度较大;而分子数据产生的PCO图,可将材料分成明显的五类,聚类结果与品种系谱基本相吻合,为进一步压缩样品提供了科学依据。形态数据与分子数据聚类的结果差异较大,相关系数仅为0．310因此,在利用田间数据的基础上,必须兼顾和利用DNA数据,才能保证所建立核心种质的代表性。这也是一条比较科学、经济和可行的途径。     

Successful analysis of AFLPs from non-lethally sampled wing tissues in butterflies

We demonstrate the successful generation and analysis of amplified fragment length polymorphism (AFLP) profiles from small samples of wing tissue in two butterfly species. With slight modifications of commercial DNA extraction and AFLP kit protocols, we produced highly repeatable AFLP profiles from these non-destructive tissue samples. Error rates were comparable to those previously reported for AFLPs generated from lethally obtained thoracic tissue. Furthermore, AFLP profiles obtained from thoracic and wing tissues of the same individuals were identical. Our results indicate that AFLP analysis is a viable method of obtaining genetic data from threatened populations of butterflies, and potentially other insects, using small, non-destructive tissue samples.     

A Comparison of AFLP and RAPD Markers for Genetic Diversity and Cultivar Identification in Cotton

AFLP and RAPDmarkers were employed in sixteen diploid cotton (Gossypium sp) cultivars for genetic diversity estimation and cultivar identification. Polymorphism information content (PIC) and percent polymorphism were found to be more for AFLP markers as compared to RAPD markers. Average Jaccard’s genetic similarity index was found to be almost similar using either AFLP or RAPD markers. All the cultivars could be distinguished from one another using AFLP markers and also by the combined RAPD profiles. Cultivar identification indicators like resolving power, marker index and probability of chance identity of two cultivars suggested the usefulness of AFLP markers over the RAPD markers. AFLP and RAPD analyses revealed limited genetic diversity in the studied cultivars. Cluster analysis of both RAPD and AFLP data produced two clusters, one containing cultivars of G. herbaceum and another containing cultivars of G. arboreum species. Highly positive correlation between cophenetic matrices using RAPD and AFLP markers was observed. AFLP markers were found to be more efficient for genetic diversity estimation, polymorphism detection and cultivar identification.     

Estimating population structure from AFLP amplification intensity

In the last decade, amplified fragment length polymorphisms (AFLPs) have become one of the most widely used molecular markers to study the genetic structure of natural populations. Most of the statistical methods available to study the genetic structure of populations using AFLPs consider these markers as dominant and are thus unable to distinguish between individuals being heterozygous or homozygous for the dominant allele. Some attempts have been made to treat AFLPs as codominant markers by using AFLP band intensities to infer the most likely genotype of each individual. These two approaches have some drawbacks, the former discarding potentially valuable information and the latter being sometimes unable to correctly assign genotypes to individuals. In this study, we propose an alternative likelihood‐based approach, which does not attempt at inferring the genotype of each individual, but rather incorporate the uncertainty about genotypes into a Bayesian framework leading to the estimation of population‐specific F_IS and F_ST coefficients. We show with simulations that the accuracy of our method is much higher than one using AFLP as dominant markers and is generally close to what would be obtained by using the same number of Single‐Nucleotide Polymorphism (SNP) markers. The method is applied to a data set of four populations of the common vole (Microtus arvalis) from Grisons in Switzerland, for which we obtained 562 polymorphic AFLP markers. Our approach is very general and has the potential to make AFLP markers as useful as SNP data for nonmodel species.     

Identification of taxonomic and epidemiological relationships among Campylobacter species by numerical analysis of AFLP profiles

Amplified fragment length polymorphism (AFLP)-based profiling was performed on 138 strains representing all named Campylobacter species and subspecies. Profiles of 15/16 species comprised 6 to greater than 100 fragments and were subjected to numerical analysis. The mean similarity of 48 duplicate, outbreak and/or 'identical' strain profiles exceeded 94%. Species were clearly distinguished at the 17.90% similarity (S-) level in the dendrogram. Subspecies of Campylobacter jejuni and Campylobacter hyointestinalis, and biovars of Campylobacter lari and Campylobacter sputorum were distinguished at higher S-levels. All outbreak or 'genetically identical' strains of C. jejuni subsp. jejuni, Campylobacter coli, C. hyointestinalis and C. sputorum clustered at S-levels >92% and were distinguished from unrelated strains. Numerical analysis of AFLP profiles is useful for concurrent identification of taxonomic and epidemiological relationships among most Campylobacter species.     

An AFLP clock for the absolute dating of shallow-time evolutionary history based on the intraspecific divergence of southwestern European alpine plant species

The dating of recent events in the history of organisms needs divergence rates based on molecular fingerprint markers. Here, we used amplified fragment length polymorphisms (AFLPs) of three distantly related alpine plant species co-occurring in the Spanish Sierra Nevada, the Pyrenees and the southwestern Alps/Massif Central to establish divergence rates. Within each of these species ( Gentiana alpina , Kernera saxatilis and Silene rupestris ), we found that the degree of AFLP divergence ( D _N72) between mountain phylogroups was significantly correlated with their time of divergence (as inferred from palaeoclimatic/palynological data), indicating constant AFLP divergence rates. As these rates did not differ significantly among species, a regression analysis based on the pooled data was utilized to generate a general AFLP rate. The application of this latter rate to AFLP data from other herbaceous plant species ( Minuartia biflora : Schönswetter et al . 2006 ; Nigella degenii : Comes et al . 2008 ) resulted in a plausible timing of the recolonization of the Svalbard Islands and the separation of populations from the Alps and Scandinavia ( Minuartia ), and of island population separation in the Aegean Archipelago ( Nigella ). Furthermore, the AFLP mutation rate obtained in our study is of the same magnitude as AFLP mutation rates published previously. The temporal limits of our AFLP rate, which is based on intraspecific vicariance events at shallow (i.e. late glacial/Early Holocene) time scales, remains to be tested.     

The Application of Molecular Markers in the Study of Diversity in Acarology: a Review

The application of molecular markers to the study of ticks and mites has recently yielded new insights into their population structures and taxonomic relationships. Ticks have been studied at individual, population and species level. Mites are a more diverse group and those that have been studied to the same degree as the ticks include the Tetranychidae (spider mites), Phytoseiidae (predatory mites) and the Eriophyidae. Population variation has also been studied in the important bee parasitic mite Varroa jacobsoni Oudemans. The methods used to study these organisms have much in common. At the individual level these range from general approaches, such as AFLP, RAPD or DALP, to highly specific microsatellite analysis. Although these markers also work at the population and species level, additional analysis of specific nuclear or mitochondrial genes has been conducted either by RFLP or sequencing. Molecular applications have had particular success in facilitating the identification of taxonomically difficult species, understanding population structures and elucidating phylogenetic relationships.     

A Statistical and Comparative Analysis of Genetic Detected by Different Molecular Markers

This paper presented a statistical and comparative analysis of common parameters of plant genetic diversity by using relevant data of 314 wild plant species from 235 published articles. The results indicated that the parameters of genetic diversity revealed by RAPD and AFLP are comparable, but all parameters of genetic variation detected by ISSR, allozyme and SSR are incomparable , which are not comparative with those by RAPD and AFLP. The genetic differentiation value G_st based on Hardy-Weinberg equilibrium is obviously lower than the value Φ_st based on AMOVA analysis, which showed that these two parameters are incomparable as well. Furthermore, the statistical and comparative results of genetic diversity of 179 plant species by RAPD and AFLP indicated that at population level: 1) the genetic diversity of gymnosperm is higher than those of both dicotyledon and monocotyledon of angiosperm, but lower genetic differentiation; 2) the genetic diversity of tree is higher than those of shrub and herb, but lower genetic differentiation; 3) the clonal plant has higher genetic diversity than those reproduce sexnally, and 4) the cross-breeding plant has higher genetic diversity than self- breeding plant; 5 ) the widespread plant species has higher genetic diversity than the rare, endangered or endemic species.     

Inference of population structure using multilocus genotype data: dominant markers and null alleles

Dominant markers such as amplified fragment length polymorphisms (AFLPs) provide an economical way of surveying variation at many loci. However, the uncertainty about the underlying genotypes presents a problem for statistical analysis. Similarly, the presence of null alleles and the limitations of genotype calling in polyploids mean that many conventional analysis methods are invalid for many organisms. Here we present a simple approach for accounting for genotypic ambiguity in studies of population structure and apply it to AFLP data from whitefish. The approach is implemented in the program structure version 2.2, which is available from http://pritch.bsd.uchicago.edu/structure.html.     

An improved amplified fragment length polymorphism (AFLP) protocol for discrimination of Listeria isolates

Nine restriction enzyme combinations and 108 different primer combinations were initially tested for suitability for amplified fragment length polymorphism (AFLP) analysis of Listeria monocytogenes; the combination of HindIII and HpyCH4IV showed consistently strong signals on gels, amplified an adequate number of DNA fragments and detected polymorphism among closely related strains based on AscI macrorestriction profiles. AFLP also distinguished between L. monocytogenes, L. innocua, L. ivanovii, L. seeligeri, L. welshimeri and L. grayi species. All Listeria species showed species-specific clusters, with less than 33% similarity between different species. A total of 34 L. monocytogenes strains were characterised by using both AFLP and pulsed-field gel electrophoresis (PFGE). The results of AFLP analysis of L. monocytogenes strains were in concordance with those obtained by PFGE. Both methods identified 29 different genotypes of L. monocytogenes and had a high discrimination index (> 0.999). By combining the results of AFLP and PFGE, subtype discrimination was further improved. Numerical analysis of both AFLP and PFGE profiles yielded three genomic groups of L. monocytogenes strains. AFLP was found to be faster and less labour-intensive than PFGE. We conclude that the AFLP protocol is a highly discriminatory, reproducible and valuable tool in characterisation of Listeria strains and may also be suitable for Listeria species identification.     

Population genetics of the yellow fever mosquito in Trinidad: comparisons of amplified fragment length polymorphism (AFLP) and restriction fragment length polymorphism (RFLP) markers

Recent development of DNA markers provides powerful tools for population genetic analyses. Amplified fragment length polymorphism (AFLP) markers result from a polymerase chain reaction (PCR)-based DNA fingerprinting technique that can detect multiple restriction fragments in a single polyacrylamide gel, and thus are potentially useful for population genetic studies. Because AFLP markers have to be analysed as dominant loci in order to estimate population genetic diversity and genetic structure parameters, one must assume that dominant (amplified) alleles are identical in state, recessive (unamplified) alleles are identical in state, AFLP fragments segregate according to Mendelian expectations and that the genotypes of an AFLP locus are in Hardy-Weinberg equilibrium (HWE). The HWE assumption is untestable for natural populations using dominant markers. Restriction fragment length polymorphism (RFLP) markers segregate as codominant alleles, and can therefore be used to test the HWE assumption that is critical for analysing AFLP data. This study examined whether the dominant AFLP markers could provide accurate estimates of genetic variability for the Aedes aegypti mosquito populations of Trinidad, West Indies, by comparing genetic structure parameters using AFLP and RFLP markers. For AFLP markers, we tested a total of five primer combinations and scored 137 putative loci. For RFLP, we examined a total of eight mapped markers that provide a broad coverage of mosquito genome. The estimated average heterozygosity with AFLP markers was similar among the populations (0.39), and the observed average heterozygosity with RFLP markers varied from 0.44 to 0.58. The average FST (standardized among-population genetic variance) estimates were 0.033 for AFLP and 0.063 for RFLP markers. The genotypes at several RFLP loci were not in HWE, suggesting that the assumption critical for analysing AFLP data was invalid for some loci of the mosquito populations in Trinidad. Therefore, the results suggest that, compared with dominant molecular markers, codominant DNA markers provide better estimates of population genetic variability, and offer more statistical power for detecting population genetic structure.     

AFLP utility for population assignment studies: analytical investigation and empirical comparison with microsatellites

Individual-based population assignment tests have thus far mainly relied on the use of microsatellite loci. However, the logistic difficulty of screening large numbers of loci required to reach sufficient statistical power hampers the usefulness of microsatellites in situations of weak population structuring. Amplified fragment length polymorphisms (AFLP) represents an alternative for overcoming this logistical issue as the technique allows the user to characterize a much larger number of loci with a comparable analytical effort. In this study, an assignment test based on maximum likelihood for dominant markers was used to investigate the potential usefulness of AFLP for population assignment. We also compared assignment success achieved with AFLP with that obtained using microsatellites in a case study of low population differentiation involving whitefish (Coregonus clupeaformis) sympatric ecotypes. The analytical investigation showed that the minimum number of AFLP loci required to reach an assignment success of 95% stood within values that are easily achievable in many situations. This also showed how assignment success varied according to the number of AFLP loci used, their absolute frequency and their frequency differential and sampling errors, as well as the number of putative source populations. The case study showed that given a comparable analytical effort in the laboratory, AFLP were much more efficient than the microsatellite loci in discriminating the source of an individual among putative populations. AFLP resulted in higher assignment success at all levels of stringency and the log-likelihood differences between populations obtained with AFLP for each individual were much larger than those obtained with microsatellites. These results indicate that research involving individual-based population assignment methods should benefit importantly from the use of AFLP markers, especially in systems characterized by weak population structuring.     

Differentiation and hybridization between Quercus crispula and Q. dentata (Fagaceae): insights from morphological traits, amplified fragment length polymorphism markers, and leafminer composition

Quercus crispula and Q. dentata (Fagaceae) are dominant members of cool-temperate forests of Japan and are assumed to hybridize in nature. To characterize and discriminate these two species and their hybrids, we carried out multivariate analysis using several morphological traits and principal coordinate analysis using molecular (amplified fragment length polymorphism [AFLP]) data. Further, we examined the composition of Phyllonorycter species (leafmining insects) on individuals from a mixed forest. Morphological traits and Phyllonorycter composition differ enough in these two oak species to be useful for identification of species and hybrids. AFLP data, however, are less informative because the degree of molecular differentiation between the two species is low. Nine out of 105 individuals from a mixed stand had intermediate morphologies according to the multivariate analysis, and eight out of the nine individuals had intermediate Phyllonorycter composition in either one or both of the two study years. These eight individuals were tentatively assigned as hybrids or backcross individuals, and the remaining individual with intermediate morphologies was assigned as Q. dentata according to its Phyllonorycter composition and the AFLP analysis.     

The Limits of Individual Identification from Sample Allele Frequencies: Theory and Statistical Analysis

It was shown recently using experimental data that it is possible under certain conditions to determine whether a person with known genotypes at a number of markers was part of a sample from which only allele frequencies are known. Using population genetic and statistical theory, we show that the power of such identification is, approximately, proportional to the number of independent SNPs divided by the size of the sample from which the allele frequencies are available. We quantify the limits of identification and propose likelihood and regression analysis methods for the analysis of data. We show that these methods have similar statistical properties and have more desirable properties, in terms of type-I error rate and statistical power, than test statistics suggested in the literature.     

Sandhoff disease heterozygote detection: a component of population screening for Tay-Sachs disease carriers. I. Statistical methods

Serum and leukocyte hexosaminidase profiles (total activity and percent heat-labile activity levels) in obligate Sandhoff disease (SHD) heterozygotes differ from those of obligate Tay-Sachs disease (TSD) heterozygotes and noncarrier individuals. We have developed a procedure to identify, with 95% sensitivity, carriers of the allele(s) for SHD among individuals screened in a TSD heterozygote identification program. Using multivariate statistical methods of cluster analysis and discriminant analysis on serum and leukocyte hexosaminidase profiles from 102 potential SHD carriers, a linear discriminant function to classify individuals as SHD carriers or SHD noncarriers was constructed. This function classifies the serum and leukocyte profiles from all 15 obligate SHD heterozygotes studied, as those of SHD carriers. A 95% isodensity ellipse derived from only the serum hexosaminidase profiles of the 15 SHD obligate carriers has been applied to a TSD screened sample of 37,843 Jewish and non-Jewish individuals. A potential recall rate of screened individuals for serum retests and leukocyte assays of 2.01% has been estimated. These statistical methods enhance the TSD heterozygote screening program by permitting one to detect SHD heterozygotes within the screened population.     

AFLP markers linked to resistance against Striga gesnerioides race 1 in cowpea (Vigna unguiculata).

Amplified fragment length polymorphism (AFLP) analysis was used in combination with bulked segregant analysis (BSA) to identify molecular markers linked to two cowpea (Vigna unguiculata (L.) Walp.) genes conferring resistance to Striga gesnerioides race 1. After AFLP analysis of an F2 population derived from a cross between the resistant cultivar Gorom and the susceptible cultivar Tvx 3236, seven AFLP markers were identified that are linked to Rsg3, the gene conferring race I resistance in 'Gorom'. The distances between these markers and Rsg3 ranged from 9.9 to 2.5 cM, with two markers, E-AGA/M-CTA460 and E-AGA/M-CAG300, flanking Rsg3 at 2.5 and 2.6 cM, respectively. Analysis of a second F2 population derived from the cross between 'Tvx 3236' and the resistant cultivar IT81D-994 identified five AFLP markers linked to the race 1 resistance gene 994-Rsg present in 'IT81D-994'. The two markers showing the tightest linkage to the 994-Rsg locus were E-AAG/M-AAC450 and E-AAG/M-AAC150 at 2.1 and 2.0 cM, respectively. Two of the markers linked to 994-Rsg, E-AGA/M-CAG300 and E-AGA/M-CAG450, were also linked to Rsg3. The identification of molecular markers in common between the two sources of race 1 resistance suggests that either Striga resistance genes are clustered in these plants or that these loci are allelic. Mapping of the resistance loci within the cowpea genome revealed that three markers linked to Rsg3 and (or) 994-Rsg are located on linkage group 6.     

Ten years of AFLP in ecology and evolution: why so few animals?

Researchers in the field of molecular ecology and evolution require versatile and low-cost genetic typing methods. The AFLP (amplified fragment length polymorphism) method was introduced 10 years ago and shows many features that fulfil these requirements. With good quality genomic DNA at hand, it is relatively easy to generate anonymous multilocus DNA profiles in most species and the start-up time before data can be generated is often less than a week. Built-in dynamic, yet simple modifications make it possible to find a protocol suitable to the genome size of the species and to screen thousands of loci in hundreds of individuals for a relatively low cost. Until now, the method has primarily been applied in studies of plants, bacteria and fungi, with a strong bias towards economically important cultivated species and their pests. In this review we identify a number of research areas in the study of wild species of animals where the AFLP method, presently very much underused, should be a very valuable tool. These aspects include classical problems such as studies of population genetic structure and phylogenetic reconstructions, and also new challenges such as finding markers for genes governing adaptations in wild populations and modifications of the protocol that makes it possible to measure expression variation of multiple genes (cDNA-AFLP) and the distribution of DNA methylation. We hope this review will help molecular ecologists to identify when AFLP is likely to be superior to other more established methods, such as microsatellites, SNP (single nucleotide polymorphism) analyses and multigene DNA sequencing.     

How to track and assess genotyping errors in population genetics studies

Genotyping errors occur when the genotype determined after molecular analysis does not correspond to the real genotype of the individual under consideration. Virtually every genetic data set includes some erroneous genotypes, but genotyping errors remain a taboo subject in population genetics, even though they might greatly bias the final conclusions, especially for studies based on individual identification. Here, we consider four case studies representing a large variety of population genetics investigations differing in their sampling strategies (noninvasive or traditional), in the type of organism studied (plant or animal) and the molecular markers used [microsatellites or amplified fragment length polymorphisms (AFLPs)]. In these data sets, the estimated genotyping error rate ranges from 0.8% for microsatellite loci from bear tissues to 2.6% for AFLP loci from dwarf birch leaves. Main sources of errors were allelic dropouts for microsatellites and differences in peak intensities for AFLPs, but in both cases human factors were non-negligible error generators. Therefore, tracking genotyping errors and identifying their causes are necessary to clean up the data sets and validate the final results according to the precision required. In addition, we propose the outline of a protocol designed to limit and quantify genotyping errors at each step of the genotyping process. In particular, we recommend (i) several efficient precautions to prevent contaminations and technical artefacts; (ii) systematic use of blind samples and automation; (iii) experience and rigor for laboratory work and scoring; and (iv) systematic reporting of the error rate in population genetics studies.