A test of the efficacy of whole‐genome amplification on DNA obtained from low‐yield samples

Conservation and population genetic studies are sometimes hampered by insufficient quantities of high quality DNA. One potential way to overcome this problem is through the use of whole genome amplification (WGA) kits. We performed rolling circle WGA on DNA obtained from matched hair and tissue samples of North American red squirrels (Tamiasciurus hudsonicus). Following polymerase chain reaction (PCR) at four microsatellite loci, we compared genotyping success for DNA from different source tissues, both pre‐ and post‐WGA. Genotypes obtained with tissue were robust, whether or not DNA had been subjected to WGA. DNA extracted from hair produced results that were largely concordant with matched tissue samples, although amplification success was reduced and some allelic dropout was observed. WGA of hair samples resulted in a low genotyping success rate and an unacceptably high rate of allelic dropout and genotyping error. The problem was not rectified by conducting PCR of WGA hair samples in triplicate. Therefore, we conclude that WGA is only an effective method of enhancing template DNA quantity when the initial sample is from high‐yield material.     

Importance of a pilot study for non-invasive genetic sampling: genotyping errors and population size estimation in red deer

Population size information is critical for managing endangered or harvested populations. Population size can now be estimated from non-invasive genetic sampling. However, pitfalls remain such as genotyping errors (allele dropout and false alleles at microsatellite loci). To evaluate the feasibility of non-invasive sampling (e.g., for population size estimation), a pilot study is required. Here, we present a pilot study consisting of (i) a genetic step to test loci amplification and to estimate allele frequencies and genotyping error rates when using faecal DNA, and (ii) a simulation step to quantify and minimise the effects of errors on estimates of population size. The pilot study was conducted on a population of red deer in a fenced natural area of 5440 ha, in France. Twelve microsatellite loci were tested for amplification and genotyping errors. The genotyping error rates for microsatellite loci were 0–0.83 (mean=0.2) for allele dropout rates and 0–0.14 (mean=0.02) for false allele rates, comparable to rates encountered in other non-invasive studies. Simulation results suggest we must conduct 6 PCR amplifications per sample (per locus) to achieve approximately 97% correct genotypes. The 3% error rate appears to have little influence on the accuracy and precision of population size estimation. This paper illustrates the importance of conducting a pilot study (including genotyping and simulations) when using non-invasive sampling to study threatened or managed populations.     

Two-step multiplex polymerase chain reaction improves the speed and accuracy of genotyping using DNA from noninvasive and museum samples

Many studies in molecular ecology rely upon the genotyping of large numbers of low‐quantity DNA extracts derived from noninvasive or museum specimens. To overcome low amplification success rates and avoid genotyping errors such as allelic dropout and false alleles, multiple polymerase chain reaction (PCR) replicates for each sample are typically used. Recently, two‐step multiplex procedures have been introduced which drastically increase the success rate and efficiency of genotyping. However, controversy still exists concerning the amount of replication needed for suitable control of error. Here we describe the use of a two‐step multiplex PCR procedure that allows rapid genotyping using at least 19 different microsatellite loci. We applied this approach to quantified amounts of noninvasive DNAs from western chimpanzee, western gorilla, mountain gorilla and black and white colobus faecal samples, as well as to DNA from ~100‐year‐old gorilla teeth from museums. Analysis of over 45 000 PCRs revealed average success rates of > 90% using faecal DNAs and 74% using museum specimen DNAs. Average allelic dropout rates were substantially reduced compared to those obtained using conventional singleplex PCR protocols, and reliable genotyping using low (< 25 pg) amounts of template DNA was possible. However, four to five replicates of apparently homozygous results are needed to avoid allelic dropout when using the lowest concentration DNAs (< 50 pg/reaction), suggesting that use of protocols allowing routine acceptance of homozygous genotypes after as few as three replicates may lead to unanticipated errors when applied to low‐concentration DNAs.     

A test of the multiplex pre-amplification approach in microsatellite genotyping of wolverine faecal DNA

Recently, a two-step PCR approach, referred to as multiplex pre-amplification, was proposed to improve microsatellite amplification from non-invasive samples such as faecal DNA. Here, we compare this new approach to standard PCR with respect to amplification success and genotyping error rates in microsatellite analysis (18 markers) of wolverine faecal DNA (48 extracts initially shown to contain amplifiable DNA). The multiplex pre-amplification approach was clearly advantageous both in terms of successful PCR amplifications (91% vs. 80%) and allelic dropout rate (2.4% vs. 12.5%). However, dropouts were to a high extent repeated in all second-step amplifications following multiplex pre-amplification, indicative of being generated during the initial PCR. Analysing more than one PCR from the initial multiplex PCR product may thus be of limited value. We instead suggest to perform two initial multiplex PCRs and to analyse a single second-step PCR from each of them. This was tested for 22 extracts at 18 loci and proved to be an effective way to obtaining a correct genotype.     

An optimisation approach to increase DNA amplification success of otter faeces

Faeces have proved to be a suitable non-invasive DNA source for microsatellite analysis in wildlife research. For the success of such studies it is essential to obtain the highest possible PCR amplification success rate. These rates are still relatively low in most carnivorous species, especially in the otter (Lutra lutra). We therefore optimised the entire microsatellite genotyping process by combining our findings with results from previous studies to gain a high rate of reliable genotypes. We investigated the influence of otter faecal quality in relation to the quantity of slimy secretions and three levels of storage periods at ?20°C on amplification success. Further, we tested the cost-effective and time-saving Chelex extraction method against the profitable QIAamp^® DNA Stool Kit (Qiagen), and compared three PCR methods - a standard single-step PCR protocol, a single-locus two-step PCR procedure and a multiplex two-step PCR procedure - regarding success rate and genotyping errors. The highest amplification success rate (median: 94%; mean: 78%) was achieved using faecal samples consisting only of jelly extracted with the QIAamp^® DNA Stool Mini Kit (Qiagen) immediately after collection and amplified following the time and cost efficient multiplex two-step PCR protocol. The two-step procedure, also referred to as pre-amplification approach, turned out to be the main improvement as it increases amplification success about 11% and reduces genotyping errors about 53%, most notably allelic dropouts.     

Locus effects and sources of error in noninvasive genotyping

In spite of more than a decade of research on noninvasive genetic sampling, the low quality and quantity of DNA in noninvasive studies continue to plague researchers. Effects of locus size on error have been documented but are still poorly understood. Further, sources of error other than allelic dropout have been described but are often not well quantified. Here we analyse the effects of locus size on allelic dropout, amplification success and error rates in noninvasive genotyping studies of three species, and quantify error other than allelic dropout.     

Assessing allelic dropout and genotype reliability using maximum likelihood.

A growing number of population genetic studies utilize nuclear DNA microsatellite data from museum specimens and noninvasive sources. Genotyping errors are elevated in these low quantity DNA sources, potentially compromising the power and accuracy of the data. The most conservative method for addressing this problem is effective, but requires extensive replication of individual genotypes. In search of a more efficient method, we developed a maximum-likelihood approach that minimizes errors by estimating genotype reliability and strategically directing replication at loci most likely to harbor errors. The model assumes that false and contaminant alleles can be removed from the dataset and that the allelic dropout rate is even across loci. Simulations demonstrate that the proposed method marks a vast improvement in efficiency while maintaining accuracy. When allelic dropout rates are low (0-30%), the reduction in the number of PCR replicates is typically 40-50%. The model is robust to moderate violations of the even dropout rate assumption. For datasets that contain false and contaminant alleles, a replication strategy is proposed. Our current model addresses only allelic dropout, the most prevalent source of genotyping error. However, the developed likelihood framework can incorporate additional error-generating processes as they become more clearly understood.     

Noninvasive population genetics: a review of sample source,diet, fragment length and microsatellite motif effects on amplification success and genotyping error rates

Noninvasive population genetics has found many applications in ecology and conservation biology. However, the technical difficulties inherent to the analysis of low quantities of DNA generally tend to limit the efficiency of this approach. The nature of samples and loci used in noninvasive population genetics are important factors that may help increasing the potential success of case studies. Here we reviewed the effects of the source of DNA (hair vs. faeces), the diet of focal species, the length of mitochondrial DNA fragments, and the length and repeat motif of nuclear microsatellite loci on genotyping success (amplification success and rate of allelic dropout). Locus-specific effects appeared to have the greatest impact, amplification success decreasing with both mitochondrial and microsatellite fragments’ length, while error rates increase with amplicons’ length. Dinucleotides showed best amplification success and lower error rates compared to longer repeat units. Genotyping success did not differ between hair- versus faeces-extracted DNA, and success in faeces-based analyses was not consistently influenced by the diet of focal species. While the great remaining variability among studies implies that other unidentified parameters are acting, results show that the careful choice of genetic markers may allow optimizing the success of noninvasive approaches.     

Patterns of nuclear DNA degeneration over time--a case study in historic teeth samples

The amount of nuclear DNA extracted from teeth of 279 individual red fox Vulpes vulpes collected over a period spanning the last three decades was determined by quantitative polymerase chain reaction (PCR). Although teeth were autoclaved during initial collection, 73.8% of extracts contained sufficient DNA concentration (> 5 pg/ micro L) suitable for reliable microsatellite genotyping but the quantity of nuclear DNA decayed significantly over time in a nonlinear pattern. The success of PCR amplification across four examined canine microsatellites over time was dependent on fragment size. By including data from two different tests for human contamination and from frequencies of allelic dropout and false alleles, the methodological constraints of population genetic studies using microsatellite loci amplified from historic DNA are discussed.     

An Improved Field Method to Obtain DNA for Individual Identification From Wolf Scat

ABSTRACT Sampling of feces for genetic studies of wild populations can be problematic because of the low quality and quantity of template DNA obtained. We used cotton swabs in the field to isolate the mucous layer on the surface of fresh wolf (Canis lupus, C. lycaon, and their hybrids) scats followed by immediate preservation, and compared microsatellite genotyping of DNA from these fresh field swabs (FS) to that of previously frozen laboratory swabs (LS). In single polymerase chain reactions (PCRs) of 2 multiplexes, amplification at 8 loci was higher in the FS samples (FS = 50%, LS = 15%; P = 0.02) because proportion, quantity, and quality of large fragment wolf nuclear DNA from these samples was greater (2.5–25%, 6.25–62.5 ng/swab, 35% amplified at 1,000 base pairs [bp]) than from the LS samples (1.9%–10%, 4.7–25 ng/swab, 10% amplified at 1,000 bp). Paired blood and fresh field-swabbed samples had identical genotypes. In 84 multiplex PCRs we found no evidence of allelic dropout associated with low template quality or quantity. We conclude that field swabbing of fresh wolf scat facilitates field storage and reduces the need for multiple amplifications at single microsatellite loci, thereby reducing the genotyping costs for wildlife projects that use noninvasive samples.     

A Maximum-Likelihood Method to Correct for Allelic Dropout in Microsatellite Data with No Replicate Genotypes

Allelic dropout is a commonly observed source of missing data in microsatellite genotypes, in which one or both allelic copies at a locus fail to be amplified by the polymerase chain reaction. Especially for samples with poor DNA quality, this problem causes a downward bias in estimates of observed heterozygosity and an upward bias in estimates of inbreeding, owing to mistaken classifications of heterozygotes as homozygotes when one of the two copies drops out. One general approach for avoiding allelic dropout involves repeated genotyping of homozygous loci to minimize the effects of experimental error. Existing computational alternatives often require replicate genotyping as well. These approaches, however, are costly and are suitable only when enough DNA is available for repeated genotyping. In this study, we propose a maximum-likelihood approach together with an expectation-maximization algorithm to jointly estimate allelic dropout rates and allele frequencies when only one set of nonreplicated genotypes is available. Our method considers estimates of allelic dropout caused by both sample-specific factors and locus-specific factors, and it allows for deviation from Hardy–Weinberg equilibrium owing to inbreeding. Using the estimated parameters, we correct the bias in the estimation of observed heterozygosity through the use of multiple imputations of alleles in cases where dropout might have occurred. With simulated data, we show that our method can (1) effectively reproduce patterns of missing data and heterozygosity observed in real data; (2) correctly estimate model parameters, including sample-specific dropout rates, locus-specific dropout rates, and the inbreeding coefficient; and (3) successfully correct the downward bias in estimating the observed heterozygosity. We find that our method is fairly robust to violations of model assumptions caused by population structure and by genotyping errors from sources other than allelic dropout. Because the data sets imputed under our model can be investigated in additional subsequent analyses, our method will be useful for preparing data for applications in diverse contexts in population genetics and molecular ecology.     

Microsatellite scoring errors associated with noninvasive genotyping based on nuclear DNA amplified from shed hair

In the context of a study of wild chimpanzees, Pan troglodytes verus, we found that genotypes based on single PCR amplifications of microsatellite loci from single shed hair have a high error rate. We quantified error rates using the comparable results of 791 single shed hair PCR amplifications of 11 microsatellite loci of 18 known individuals. The most frequent error was the amplification of only one of the two alleles present at a heterozygous locus. This phenomenon, called allelic dropout, produced false homozygotes in 31% of single-hair amplifications. There was no difference in the probability of preferential amplification between longer and shorter alleles. The probability of scoring false homozygotes can be reduced to below 0.05 by three separate amplifications from single hairs of the same individual or by pooling hair samples from the same individual. In this study an additional 5.6% of the amplifications gave wrong genotypes because of contamination, labelling and loading errors, and possibly amplification artefacts. In contrast, amplifications from plucked hair taken from four dead individuals gave consistent results (error rate < 0.01%, n= 120). Allelic dropout becomes a problem when the DNA concentration falls below 0.05 ng/10 μL in the template as it can with shed hair, and extracts from faeces and masticated plant matter.     

Incorporating Genotype Uncertainty into Mark–Recapture-Type Models For Estimating Abundance Using DNA Samples

Summary .  Sampling DNA noninvasively has advantages for identifying animals for uses such as mark–recapture modeling that require unique identification of animals in samples. Although it is possible to generate large amounts of data from noninvasive sources of DNA, a challenge is overcoming genotyping errors that can lead to incorrect identification of individuals. A major source of error is allelic dropout, which is failure of DNA amplification at one or more loci. This has the effect of heterozygous individuals being scored as homozygotes at those loci as only one allele is detected. If errors go undetected and the genotypes are naively used in mark–recapture models, significant overestimates of population size can occur. To avoid this it is common to reject low-quality samples but this may lead to the elimination of large amounts of data. It is preferable to retain these low-quality samples as they still contain usable information in the form of partial genotypes. Rather than trying to minimize error or discarding error-prone samples we model dropout in our analysis. We describe a method based on data augmentation that allows us to model data from samples that include uncertain genotypes. Application is illustrated using data from the European badger ( Meles meles ).     

Multiple Displacement Amplification for Generating an Unlimited Source of DNA for Genotyping in Nonhuman Primate Species

We evaluated a whole genome amplification method—multiple displacement amplification (MDA)—as a means to conserve valuable nonhuman primate samples. We tested 148 samples from a variety of species and sample sources, including blood, tissue, cell-lines, plucked hair and noninvasively collected semen. To evaluate genotyping success and accuracy of MDA, we used routine genotyping methods, including short tandem repeat (STR) analysis, denaturing gradient gel electrophoresis (DGGE), Alu repeat analysis, direct sequencing, and nucleotide detection by tag-array minisequencing. We compared genotyping results from MDA products to genotypes generated from the original (non-MD amplified) DNA samples. All genotyping methods showed good results with the MDA products as a DNA template, and for some samples MDA improved genotyping success. We show that the MDA procedure has the potential to provide a long-lasting source of DNA for genetic studies, which would be highly valuable for the primate research field, in which genetic resources are limited and for other species in which similar sampling constraints apply.     

Noninvasive genotyping and Mendelian analysis of microsatellites in African savannah elephants

We obtained fresh dung samples from 202 (133 mother-offspring pairs) savannah elephants (Loxodonta africana) in Samburu, Kenya, and genotyped them at 20 microsatellite loci to assess genotyping success and errors. A total of 98.6% consensus genotypes was successfully obtained, with allelic dropout and false allele rates at 1.6% (n = 46) and 0.9% (n = 37) of heterozygous and total consensus genotypes, respectively, and an overall genotyping error rate of 2.5% based on repeat typing. Mendelian analysis revealed consistent inheritance in all but 38 allelic pairs from mother-offspring, giving an average mismatch error rate of 2.06%, a possible result of null alleles, mutations, genotyping errors, or inaccuracy in maternity assignment. We detected no evidence for large allele dropout, stuttering, or scoring error in the dataset and significant Hardy-Weinberg deviations at only two loci due to heterozygosity deficiency. Across loci, null allele frequencies were low (range: 0.000-0.042) and below the 0.20 threshold that would significantly bias individual-based studies. The high genotyping success and low errors observed in this study demonstrate reliability of the method employed and underscore the application of simple pedigrees in noninvasive studies. Since none of the sires were included in this study, the error rates presented are just estimates.     

Pros and cons of external swabbing of amphibians for genetic analyses

Non-invasive DNA sampling is an important tool in amphibian conservation. Buccal swabs are nowadays replacing the wounding toe-clipping method. Skin and cloaca swabbing are even less invasive and easier to handle than buccal swabbing, but could result in contaminations of genetic material. Therefore, we test if external skin and cloaca swabs are as reliable as buccal swabs for genetic analysis of amphibians. We analysed eight microsatellite loci for the common frog (Rana temporaria, Linnaeus 1758) and compared genotyping results for buccal, skin and cloaca swabs regarding allelic dropouts and false alleles. Furthermore, we compared two DNA extraction methods regarding efficiency and cost. DNA quality and quantity (amplification success, genotyping error rate, in nanogram per microlitre) were comparable among DNA sources and extraction methods. However, skin and cloaca samples exhibited high degrees of contamination with foreign individuals, which was due to sample collection during mating season. Here, we established a simple low budget procedure to receive DNA of amphibians avoiding stressful buccal swabbing or harmful toe clipping. However, the possibility of contaminations of external swabs has to be considered.     

Assessing the utility of whole genome amplified DNA for next‐generation molecular ecology

DNA quantity can be a hindrance in ecological and evolutionary research programmes due to a range of factors including endangered status of target organisms, available tissue type, and the impact of field conditions on preservation methods. A potential solution to low‐quantity DNA lies in whole genome amplification (WGA) techniques that can substantially increase DNA yield. To date, few studies have rigorously examined sequence bias that might result from WGA and next‐generation sequencing of nonmodel taxa. To address this knowledge deficit, we use multiple displacement amplification (MDA) and double‐digest RAD sequencing on the grey mouse lemur (Microcebus murinus) to quantify bias in genome coverage and SNP calls when compared to raw genomic DNA (gDNA). We focus our efforts in providing baseline estimates of potential bias by following manufacturer's recommendations for starting DNA quantities (>100 ng). Our results are strongly suggestive that MDA enrichment does not introduce systematic bias to genome characterization. SNP calling between samples when genotyping both de‐novo and with a reference genome are highly congruent (>98%) when specifying a minimum threshold of 20X stack depth to call genotypes. Relative genome coverage is also similar between MDA and gDNA, and allelic dropout is not observed. SNP concordance varies based on coverage threshold, with 95% concordance reached at ~12X coverage genotyping de‐novo and ~7X coverage genotyping with the reference genome. These results suggest that MDA may be a suitable solution for next‐generation molecular ecological studies when DNA quantity would otherwise be a limiting factor.     

Noninvasive genetic analysis in birds: testing reliability of feather samples

Noninvasive samples are useful for molecular genetic analysis of free‐ranging animals. I tested whether moulted feathers collected in the field are a reliable source of DNA for genotyping microsatellite loci. I prescreened extracts for DNA quantity and, using only samples with higher amounts of DNA, obtained reliable genotyping results. Polymerase chain reaction (PCR) amplification success was higher from extracts of plucked feathers than moulted feathers. DNA quantity in larger feathers was higher than that in smaller feathers. This study clearly demonstrates that moulted feathers could be used for genetic studies in birds.     

Non-invasive genetic sampling and individual identification

Individual identification via non-invasive sampling is of prime importance in conservation genetics and in behavioural ecology. This approach allows for genetics studies of wild animals without having to catch them, or even to observe them. The material used as a source of DNA is usually faeces, shed hairs, or shed feathers. It has been recendy shown that this material may lead to genotyping errors, mainly due to allelic dropout. In addition to these technical errors, there are problems with accurately estimating the probability of identity (PI, or the probability of two individuals having identical genotypes) because of the presence of close relatives in natural populations. As a consequence, before initiating an extensive study involving non-invasive sampling, we strongly suggest conducting a pilot study to assess both the technical difficulties and the PI for the genetic markers to be used. This pilot study could be carried out in three steps: (i) estimation of the PI using preliminary genetic data; (ii) simulations taking into account the PI and choosing the technical error rate mat is sufficiently low for assessing the scientific question; (iii) polymerase chain reaction (PCR) experiments to check if it is technically possible to achieve this error rate.     

Reliable noninvasive genotyping: fantasy or reality?

Noninvasive genotyping has not gained wide application, due to the notion that it is unreliable, and also because remedial measures are time consuming and expensive. Of the wide variety of noninvasive DNA sources, dung is the most universal and most widely used in studies. We have developed collection, extraction, and amplification protocols that are inexpensive and provide a high level of success in amplifying both mitochondrial and nuclear DNA from dung. Here we demonstrate the reliability of genotyping from elephant dung using these protocols by comparing results from dung-extracted DNA to results from blood-extracted DNA. The level of error from dung extractions was only slightly higher than from blood extractions, and conducting two extractions from each sample and a single amplification from each extraction was sufficient to eliminate error. Di-, tri-, and tetranucleotide loci were equally reliable, and low DNA quantity and quality and PCR inhibitors were not a major problem in genotyping from dung. We discuss the possible causes of error in genotyping with particular reference to noninvasive samples and suggest methods of reducing such error.