PCR Replication Research Articles

Ct2vl: A Robust Public Resource for Converting SARS-CoV-2 Ct Values to Viral Loads.

The amount of SARS-CoV-2 in a sample is often measured using Ct values. However, the same Ct value may correspond to different viral loads on different platforms and assays, making them difficult to compare from study to study. To address this problem, we developed ct2vl, a Python package that converts Ct values to viral loads for any RT-qPCR assay/platform. The method is novel in that it is based on determining the maximum PCR replication efficiency, as opposed to fitting a sigmoid (S-shaped) curve relating signal to cycle number. We calibrated ct2vl on two FDA-approved platforms and validated its performance using reference-standard material, including sensitivity analysis. We found that ct2vl-predicted viral loads were highly accurate across five orders of magnitude, with 1.6-fold median error (for comparison, viral loads in clinical samples vary over 10 orders of magnitude). The package has 100% test coverage. We describe installation and usage both from the Unix command-line and from interactive Python environments. ct2vl is freely available via the Python Package Index (PyPI). It facilitates conversion of Ct values to viral loads for clinical investigators, basic researchers, and test developers for any RT-qPCR platform. It thus facilitates comparison among the many quantitative studies of SARS-CoV-2 by helping render observations in a natural, universal unit of measure.

Controlling critical mistag‐associated false discoveries in metagenetic data

Abstract Metagenetic methods are commonplace within ecological and environmental research. One concern with these methods is the phenomenon of ‘critical mistagging’, where sequences from one sample are erroneously inferred to have originated from another sample due to errors in the attachment, PCR replication or sequencing of sample‐specific dual‐index tags. For studies using PCR‐based library preparation on large sample sizes, the most cost‐effective approach to limiting mistag‐associated false detections involves using an unsaturated Latin square dual‐indexing design. This allows researchers to estimate mistagging rates during sequencing but the statistical procedures for filtering out detections using this mistag rate have received little attention. I propose a straightforward method to limit mistag‐associated false discoveries during metabarcoding applications. I analysed two Illumina metabarcoding datasets produced using unsaturated Latin square designs to explore the distribution of mistagged sequences across dual‐index combinations on a per taxon basis. I tested these data for conformity to the assumptions that (a) mistagging follows a binomial distribution (i.e. X ~ B(n, p)) where p, the probability of a sequence being mistagged, varies minimally across taxa and (b) mistags are distributed uniformly across dual‐index combinations. I provide R functions that estimate the 95th percentile of expected mistags per dual‐index combination for each taxon under these assumptions. I show that mistagging rates were consistent across taxa within the datasets analysed and that modelling mistagging as a binomial process with uniform distribution across dual‐index combinations enabled robust control of mistag‐associated false discoveries. I propose that this method of taxon‐specific filtering of detections based on the maximum mistags expected per dual‐index combination should be broadly accepted during metagenetic analysis, provided that control sample mistag abundances follow a near‐uniform distribution. When this assumption is violated, data may be better fit by assuming that the distribution of mistags across combinations follows Poisson characteristics (i.e. X ~Pois(λ)), with λ empirically estimated from the abundance distribution of mistags among control samples. I provide a second R function for this case. Both functions and demonstrations associated with this work are freely available at https://github.com/RTRichar/ModellingCriticalMistags.

Dominant mutations in the severe acute respiratory syndrome coronavirus-2 genome challenge polymerase chain reaction detection.

Dominant mutations in the severe acute respiratory syndrome coronavirus-2 genome challenge polymerase chain reaction detection.

Revisiting the effect of PCR replication and sequencing depth on biodiversity metrics in environmental DNA metabarcoding.

Environmental DNA (eDNA) metabarcoding is an increasingly popular tool for measuring and cataloguing biodiversity. Because the environments and substrates in which DNA is preserved differ considerably, eDNA research often requires bespoke approaches to generating eDNA data. Here, we explore how two experimental choices in eDNA study design—the number of PCR replicates and the depth of sequencing of PCR replicates—influence the composition and consistency of taxa recovered from eDNA extracts. We perform 24 PCR replicates from each of six soil samples using two of the most common metabarcodes for Fungi and Viridiplantae (ITS1 and ITS2), and sequence each replicate to an average depth of ~84,000 reads. We find that PCR replicates are broadly consistent in composition and relative abundance of dominant taxa, but that low abundance taxa are often unique to one or a few PCR replicates. Taxa observed in one out of 24 PCR replicates make up 21–29% of the total taxa detected. We also observe that sequencing depth or rarefaction influences alpha diversity and beta diversity estimates. Read sampling depth influences local contribution to beta diversity, placement in ordinations, and beta dispersion in ordinations. Our results suggest that, because common taxa drive some alpha diversity estimates, few PCR replicates and low read sampling depths may be sufficient for many biological applications of eDNA metabarcoding. However, because rare taxa are recovered stochastically, eDNA metabarcoding may never fully recover the true amplifiable alpha diversity in an eDNA extract. Rare taxa drive PCR replicate outliers of alpha and beta diversity and lead to dispersion differences at different read sampling depths. We conclude that researchers should consider the complexity and unevenness of a community when choosing analytical approaches, read sampling depths, and filtering thresholds to arrive at stable estimates.

Recommendations for interpreting zooplankton metabarcoding and integrating molecular methods with morphological analyses

Abstract Metabarcoding of zooplankton communities is becoming more common, but molecular results must be interpreted carefully and validated with morphology-based analyses, where possible. To evaluate our metabarcoding approach within the California Current Ecosystem, we tested whether physical subsampling and PCR replication affects observed community composition; whether community composition resolved by metabarcoding is comparable to morphological analyses by digital imaging; and whether pH neutralization of ethanol with ammonium hydroxide affects molecular diversity. We found that (1) PCR replication was important to accurately resolve alpha diversity and that physical subsampling can decrease sensitivity to rare taxa; (2) there were significant correlations between relative read abundance and proportions of carbon biomass for most taxonomic groups analyzed, but such relationships showed better agreement for the more dominant taxonomic groups; and (3) ammonium hydroxide in ethanol had no effect on molecular diversity. Together, these results indicate that with appropriate replication, paired metabarcoding and morphological analyses can characterize zooplankton community structure and biomass, and that metabarcoding methods are to some extent indicative of relative community composition when absolute measures of abundance or biomass are not available.

Species detection from aquatic eDNA: Assessing the importance of capture methods

AbstractEnvironmental DNA (eDNA) is increasingly used for biodiversity monitoring, particularly in aquatic systems. However, each step, from sample collection to bioinformatic analysis, can introduce biases and influence the reliability of results. While much effort has been put into the optimization of laboratory methods, less attention has been devoted to estimate the impacts of eDNA capture methods. To address this issue, water samples were collected at nine small ponds and puddles where up to 10 amphibian species occur, using precipitation, disc filters, and capsules. We focused on targeted detection of an amphibian species, Salamandra salamandra, and on the composition of the whole amphibian community. Species detection was performed using a novel qPCR assay for S. salamandra and high‐throughput sequencing, combined with stringent versus relaxed PCR replication thresholds. Filtration techniques (disc filters and capsules) outperformed precipitation, generating a higher number of detections of S. salamandra and higher amounts of captured eDNA, while species detection was identical between disc filters and capsules. There were no significant differences between capture methods regarding amphibian community composition. The variation in detection success associated with capture methods was far higher than that associated with PCR replication, regardless of the detection method used. Our results highlight the importance of choosing a suitable capture method for eDNA studies and suggest that the choice of capture method outweighs the choice of detection method used. To the best of our knowledge, this is the first study to compare high‐capacity capsules with common eDNA methods for water samples, such as precipitation and standard disc filters.

Standards for Methods Utilizing Environmental DNA for Detection of Fish Species.

Environmental DNA (eDNA) techniques are gaining attention as cost-effective, non-invasive strategies for acquiring information on fish and other aquatic organisms from water samples. Currently, eDNA approaches are used to detect specific fish species and determine fish community diversity. Various protocols used with eDNA methods for aquatic organism detection have been reported in different eDNA studies, but there are no general recommendations for fish detection. Herein, we reviewed 168 papers to supplement and highlight the key criteria for each step of eDNA technology in fish detection and provide general suggestions for eliminating detection errors. Although there is no unified recommendation for the application of diverse eDNA in detecting fish species, in most cases, 1 or 2 L surface water collection and eDNA capture on 0.7-μm glass fiber filters followed by extraction with a DNeasy Blood and Tissue Kit or PowerWater DNA Isolation Kit are useful for obtaining high-quality eDNA. Subsequently, species-specific quantitative polymerase chain reaction (qPCR) assays based on mitochondrial cytochrome b gene markers or eDNA metabarcoding based on both 12S and 16S rRNA markers via high-throughput sequencing can effectively detect target DNA or estimate species richness. Furthermore, detection errors can be minimized by mitigating contamination, negative control, PCR replication, and using multiple genetic markers. Our aim is to provide a useful strategy for fish eDNA technology that can be applied by researchers, advisors, and managers.

Coding and Non-Coding RNA Abnormalities in Bipolar Disorder.

The molecular mechanisms underlying bipolar disorder (BPD) have remained largely unknown. Postmortem brain tissue studies comparing BPD patients with healthy controls have produced a heterogeneous array of potentially implicated protein-coding RNAs. We hypothesized that dysregulation of not only coding, but multiple classes of RNA (coding RNA, long non-coding (lnc) RNA, circular (circ) RNA, and/or alternative splicing) underlie the pathogenesis of BPD. Using non-polyadenylated libraries we performed RNA sequencing in postmortem human medial frontal gyrus tissue from BPD patients and healthy controls. Twenty genes, some of which not previously implicated in BPD, were differentially expressed (DE). PCR validation and replication confirmed the implication of these DE genes. Functional in silico analyses identified enrichment of angiogenesis, vascular system development and histone H3-K4 demethylation. In addition, ten lncRNA transcripts were differentially expressed. Furthermore, an overall increased number of alternative splicing events in BPD was detected, as well as an increase in the number of genes carrying alternative splicing events. Finally, a large reservoir of circRNAs populating brain tissue not affected by BPD is described, while in BPD altered levels of two circular transcripts, cNEBL and cEPHA3, are reported. cEPHA3, hitherto unlinked to BPD, is implicated in developmental processes in the central nervous system. Although we did not perform replication analyses of non-coding RNA findings, our findings hint that RNA dysregulation in BPD is not limited to coding regions, opening avenues for future pharmacological investigations and biomarker research.

Have the cake and eat it: Optimizing nondestructive DNA metabarcoding of macroinvertebrate samples for freshwater biomonitoring.

DNA metabarcoding can contribute to improving cost‐effectiveness and accuracy of biological assessments of aquatic ecosystems, but significant optimization and standardization efforts are still required to mainstream its application into biomonitoring programmes. In assessments based on freshwater macroinvertebrates, a key challenge is that DNA is often extracted from cleaned, sorted and homogenized bulk samples, which is time‐consuming and may be incompatible with sample preservation requirements of regulatory agencies. Here, we optimize and evaluate metabarcoding procedures based on DNA recovered from 96% ethanol used to preserve field samples and thus including potential PCR inhibitors and nontarget organisms. We sampled macroinvertebrates at five sites and subsampled the preservative ethanol at 1 to 14 days thereafter. DNA was extracted using column‐based enzymatic (TISSUE) or mechanic (SOIL) protocols, or with a new magnetic‐based enzymatic protocol (BEAD), and a 313‐bp COI fragment was amplified. Metabarcoding detected at least 200 macroinvertebrate taxa, including most taxa detected through morphology and for which there was a reference barcode. Better results were obtained with BEAD than SOIL or TISSUE, and with subsamples taken 7–14 than 1–7 days after sampling, in terms of DNA concentration and integrity, taxa diversity and matching between metabarcoding and morphology. Most variation in community composition was explained by differences among sites, with small but significant contributions of subsampling day and extraction method, and negligible contributions of extraction and PCR replication. Our methods enhance reliability of preservative ethanol as a potential source of DNA for macroinvertebrate metabarcoding, with a strong potential application in freshwater biomonitoring.

Microbial Natural Product Alternariol 5-O-Methyl Ether Inhibits HIV-1 Integration by Blocking Nuclear Import of the Pre-Integration Complex.

While Highly Active Antiretroviral Therapy (HAART) has significantly decreased the mortality of human immunodeficiency virus (HIV)-infected patients, emerging drug resistance to approved HIV-1 integrase inhibitors highlights the need to develop new antivirals with novel mechanisms of action. In this study, we screened a library of microbial natural compounds from endophytic fungus Colletotrichum sp. and identified alternariol 5-O-methyl ether (AME) as a compound that inhibits HIV-1 pre-integration steps. Time-of addition analysis, quantitative real-time PCR, confocal microscopy, and WT viral replication assay were used to elucidate the mechanism. As opposed to the approved integrase inhibitor Raltegravir, AME reduced both the integrated viral DNA and the 2-long terminal repeat (2-LTR) circular DNA, which suggests that AME impairs the nuclear import of viral DNA. Further confocal microscopy studies showed that AME specifically blocks the nuclear import of HIV-1 integrase and pre-integration complex without any adverse effects on the importin α/β and importin β-mediated nuclear import pathway in general. Importantly, AME inhibited Raltegravir-resistant HIV-1 strains and exhibited a broad anti-HIV-1 activity in diverse cell lines. These data collectively demonstrate the potential of AME for further development into a new HIV inhibitor, and suggest the utility of viral DNA nuclear import as a target for anti-HIV drug discovery.

Evaluating the effects of laboratory protocols on eDNA detection probability for an endangered freshwater fish.

The effectiveness and accuracy of detection using environmental DNA (eDNA) is dependent on understanding the influence laboratory methods such as DNA extraction and PCR strategies have on detection probability. Ideally choice of sampling and extraction method will maximize eDNA yield and detection probability. Determining the survey effort required to reach a satisfactory detection probability (via increased PCR replicates or more sampling) could compensate for a lower eDNA yield if the sampling and extraction method has other advantages for a study, species or system. I analysed the effect of three different sampling and extraction methods on eDNA yield, detection probability and PCR replication for detecting the endangered freshwater fish Macquaria australasica from water samples. The impact of eDNA concentration, PCR strategy, target amplicon size and two marker regions: 12S (a mitochondrial gene) and 18S (a nuclear gene) was also assessed. The choice of sampling and extraction method and PCR strategy, rather than amplicon size and marker region, had the biggest effect on detection probability and PCR replication. The PCR replication effort required to achieve a detection probability of 0.95, ranged from 2 to 6 PCR replicates depending on the laboratory method used. As all methods yielded eDNA from which M. australasica was detected using the three target amplicons, differences in eDNA yield and detection probability between the three methods could be mitigated by determining the appropriate PCR replication effort. Evaluating the effect sampling and extraction methods will have on the detection probability and determining the laboratory protocols and PCR replication required to maximize detection and minimize false positives and negatives is a useful first step for eDNA occupancy studies.

The impact of sampling, PCR, and sequencing replication on discerning changes in drinking water bacterial community over diurnal time-scales

High-throughput and deep DNA sequencing, particularly amplicon sequencing, is being increasingly utilized to reveal spatial and temporal dynamics of bacterial communities in drinking water systems. Whilst the sampling and methodological biases associated with PCR and sequencing have been studied in other environments, they have not been quantified for drinking water. These biases are likely to have the greatest effect on the ability to characterize subtle spatio-temporal patterns influenced by process/environmental conditions. In such cases, intra-sample variability may swamp any underlying small, systematic variation. To evaluate this, we undertook a study with replication at multiple levels including sampling sites, sample collection, PCR amplification, and high throughput sequencing of 16S rRNA amplicons. The variability inherent to the PCR amplification and sequencing steps is significant enough to mask differences between bacterial communities from replicate samples. This was largely driven by greater variability in detection of rare bacteria (relative abundance <0.01%) across PCR/sequencing replicates as compared to replicate samples. Despite this, we captured significant changes in bacterial community over diurnal time-scales and find that the extent and pattern of diurnal changes is specific to each sampling location. Further, we find diurnal changes in bacterial community arise due to differences in the presence/absence of the low abundance bacteria and changes in the relative abundance of dominant bacteria. Finally, we show that bacterial community composition is significantly different across sampling sites for time-periods during which there are typically rapid changes in water use. This suggests hydraulic changes (driven by changes in water demand) contribute to shaping the bacterial community in bulk drinking water over diurnal time-scales.

Sequence Depth, Not PCR Replication, Improves Ecological Inference from Next Generation DNA Sequencing

Recent advances in molecular approaches and DNA sequencing have greatly progressed the field of ecology and allowed for the study of complex communities in unprecedented detail. Next generation sequencing (NGS) can reveal powerful insights into the diversity, composition, and dynamics of cryptic organisms, but results may be sensitive to a number of technical factors, including molecular practices used to generate amplicons, sequencing technology, and data processing. Despite the popularity of some techniques over others, explicit tests of the relative benefits they convey in molecular ecology studies remain scarce. Here we tested the effects of PCR replication, sequencing depth, and sequencing platform on ecological inference drawn from environmental samples of soil fungi. We sequenced replicates of three soil samples taken from pine biomes in North America represented by pools of either one, two, four, eight, or sixteen PCR replicates with both 454 pyrosequencing and Illumina MiSeq. Increasing the number of pooled PCR replicates had no detectable effect on measures of α- and β-diversity. Pseudo-β-diversity – which we define as dissimilarity between re-sequenced replicates of the same sample – decreased markedly with increasing sampling depth. The total richness recovered with Illumina was significantly higher than with 454, but measures of α- and β-diversity between a larger set of fungal samples sequenced on both platforms were highly correlated. Our results suggest that molecular ecology studies will benefit more from investing in robust sequencing technologies than from replicating PCRs. This study also demonstrates the potential for continuous integration of older datasets with newer technology.

Aberrantly Expressed lncRNAs in Primary Varicose Great Saphenous Veins

Long non-coding RNAs (lncRNAs) are key regulatory molecules involved in a variety of biological processes and human diseases. However, the pathological effects of lncRNAs on primary varicose great saphenous veins (GSVs) remain unclear. The purpose of the present study was to identify aberrantly expressed lncRNAs involved in the prevalence of GSV varicosities and predict their potential functions. Using microarray with 33,045 lncRNA and 30,215 mRNA probes, 557 lncRNAs and 980 mRNAs that differed significantly in expression between the varicose great saphenous veins and control veins were identified in six pairs of samples. These lncRNAs were sub-grouped and mRNAs expressed at different levels were clustered into several pathways with six focused on metabolic pathways. Quantitative real-time PCR replication of nine lncRNAs was performed in 32 subjects, validating six lncRNAs (AF119885, AK021444, NR_027830, G36810, NR_027927, uc.345-). A coding-non-coding gene co-expression network revealed that four of these six lncRNAs may be correlated with 11 mRNAs and pathway analysis revealed that they may be correlated with another 8 mRNAs associated with metabolic pathways. In conclusion, aberrantly expressed lncRNAs for GSV varicosities were here systematically screened and validated and their functions were predicted. These findings provide novel insight into the physiology of lncRNAs and the pathogenesis of varicose veins for further investigation. These aberrantly expressed lncRNAs may serve as new therapeutic targets for varicose veins. The Human Ethnics Committee of Shanghai East Hospital, Tongji University School of Medicine approved the study (NO.: 2011-DF-53).

DNA metabarcoding multiplexing and validation of data accuracy for diet assessment: application to omnivorous diet

Ecological understanding of the role of consumer-resource interactions in natural food webs is limited by the difficulty of accurately and efficiently determining the complex variety of food types animals have eaten in the field. We developed a method based on DNA metabarcoding multiplexing and next-generation sequencing to uncover different taxonomic groups of organisms from complex diet samples. We validated this approach on 91 faeces of a large omnivorous mammal, the brown bear, using DNA metabarcoding markers targeting the plant, vertebrate and invertebrate components of the diet. We included internal controls in the experiments and performed PCR replication for accuracy validation in postsequencing data analysis. Using our multiplexing strategy, we significantly simplified the experimental procedure and accurately and concurrently identified different prey DNA corresponding to the targeted taxonomic groups, with ≥ 60% of taxa of all diet components identified to genus/species level. The systematic application of internal controls and replication was a useful and simple way to evaluate the performance of our experimental procedure, standardize the selection of sequence filtering parameters for each marker data and validate the accuracy of the results. Our general approach can be adapted to the analysis of dietary samples of various predator species in different ecosystems, for a number of conservation and ecological applications entailing large-scale population level diet assessment through cost-effective screening of multiple DNA metabarcodes, and the detection of fine dietary variation among samples or individuals and of rare food items.

Factors Influencing the Sensitivity and Specificity of Conventional Sequencing in Human Immunodeficiency Virus Type 1 Tropism Testing

Human immunodeficiency virus type 1 (HIV-1) V3 loop sequence can be used to infer viral coreceptor use. The effect of input copy number on population-based sequencing of the V3 loop of HIV-1 was examined through replicate deep and population-based sequencing of samples with known tropism, a heterogeneous clinical sample (624 population-based sequences and 47 deep-sequencing replicates), and a large cohort of clinical samples from phase III clinical trials of maraviroc including the MOTIVATE/A4001029 studies (n = 1,521). Proviral DNA from two independent samples from each of 101 patients from the MOTIVATE/A4001029 studies was also analyzed. Cumulative technical error occurred at a rate of 3 × 10(-4) mismatches/bp, without observed effect on inferred tropism. Increasing PCR replication increased minority species detection with an ~10% minority population detected in 18% of cases using a single replicate at a viral load of 1,072 copies/ml and in 44% of cases using three replicates. The nucleotide prevalence detected by population-based and deep sequencing were highly correlated (Spearman's ρ, 0.73), and the accuracy increased with increasing input copy number (P < 0.001). Triplicate sequencing was able to predict tropism changes in the MOTIVATE/A4001029 studies for both low (P = 0.05) and high (P = 0.02) viral loads. Sequences derived from independently extracted and processed samples of proviral DNA for the same patient were equivalent to replicates from the same extraction (P = 0.45) and had correlated position-specific scoring matrix scores (Spearman's ρ, 0.75; P << 0.001); however, concordance in tropism inference was only 83%. Input copy number and PCR replication are important factors in minority species detection in samples with significant heterogeneity.

A real-time PCR-based amelogenin Y allele dropout assessment model in gender typing of degraded DNA samples

Allelic dropout due to stochastic variation in degraded small quantity DNA appears to be one of the most serious genotyping errors. Most methods require PCR replication to address this problem. The small amounts of valuable samples are often a limitation for such replications. We report a real-time PCR-based amelogonin Y (AMELY) allele dropout estimation model in an AMEL-based gender typing. We examined 915 replicates of AMELY-positive modern male DNA with varying amounts of DNA and humic acid. A male-specific AMEL fragment (AMELy) dropped out in 143 genuine male replicates, leading to gender typing errors. By graphing a scatter plot of the crossing point versus the end cycle fluorescence of the male replicates, a standard graph model for the estimation of the AMELy allele dropout was constructed with the dropout-prone and dropout-free zones. This model was then applied to ancient DNA (aDNA) samples. Nine samples identified as female were found in the dropout-prone zone; with higher DNA concentrations, six were shifted to the dropout-free zone. Among them, two female identifications were converted to male. All the aDNA gender was confirmed by sex-determination region Y marker amplification. Our data suggest that this model could be a basic approach for securing AMELy allele dropout-safe data from the stochastic variation of degraded inhibitory DNA samples.

Increased Expression of Peripheral Blood Leukocyte Genes Implicate CD14 + Tissue Macrophages in Cellular Intestine Allograft Rejection

Recurrent rejection shortens graft survival after intestinal transplantation (ITx) in children, most of whom also experience early acute cellular rejection (rejectors). To elucidate mechanisms common to early and recurrent rejection, we used a test cohort of 20 recipients to test the hypothesis that candidate peripheral blood leukocyte genes that trigger rejection episodes would be evident late after ITx during quiescent periods in genome-wide gene expression analysis and would achieve quantitative real-time PCR replication pre-ITx (another quiescent period) and in the early post-ITx period during first rejection episodes. Eight genes were significantly up-regulated among rejectors in the late post-ITx and pre-ITx periods, compared with nonrejectors: TBX21, CCL5, GNLY, SLAMF7, TGFBR3, NKG7, SYNE1, and GK5. Only CCL5 was also up-regulated in the early post-ITx period. Among resting peripheral blood leukocyte subsets in randomly sampled nonrejectors, CD14(+) monocytes expressed the CCL5 protein maximally. Compared with nonrejectors, rejectors demonstrated higher counts of both circulating CCL5(+)CD14(+) monocytes and intragraft CD14(+) monocyte-derived macrophages in immunohistochemistry of postperfusion and early post-ITx biopsies from the test and an independent replication cohort. Donor-specific alloreactivity measured with CD154(+) T-cytotoxic memory cells correlated with the CCL5 gene and intragraft CD14(+) monocyte-derived macrophages at graft reperfusion and early post-ITx. CCL5 gene up-regulation and CD14(+) macrophages likely prime cellular ITx rejection. Infiltration of reperfused intestine allografts with CD14(+) macrophages may predict rejection events.

Effect of sample age and season of collection on the reliability of microsatellite genotyping of faecal DNA

Individual identification of animals from DNA in field-collected faecal samples is becoming an increasingly important tool in wildlife population monitoring. A major issue relevant to the application of this technique is the reliability of the genotypes obtained. I investigated the effect of sample age and season of collection on amplification rates and reliability of microsatellite genotypes amplified from faecal DNA of a marsupial herbivore, the brush-tailed rock-wallaby (Petrogale penicillata) and a eutherian carnivore, the red fox (Vulpes vulpes). Comparison of DNA profiles from 1 day to 6 months for both species suggests that as the age of the faeces increases there is less good-quality DNA present on the surface of the faeces, resulting in significantly decreasing amplification rates and increasing genotyping error rates over time. No microsatellite PCR products were obtained from samples older than 3 months from any faecal DNA extract in either season. For both species, faeces collected during the summer trial yielded high-quality DNA for up to one week. Faeces collected in winter had significantly lower amplification rates and higher genotyping errors than the summer-collected samples. Computer simulations were used to estimate the probability of obtaining false genotypes when genotyping faecal samples of various ages. These revealed that three replicates is sufficient to prevent identification of false individuals for P. penicillata from faeces up to one week old in both summer and winter but more replicates may be required for older samples, particularly in winter. In contrast, up to eight replicates may be required for fox faeces collected in winter, particularly if more than one week old. These results also suggest that it is difficult to visually identify faecal age for V. vulpes, and any study using fox faeces would need to account for the likely inclusion of older faeces in a field collection. For P. penicillata, faecal age could be accurately assessed, particularly when less than one week old and targeting faeces that match the two most reliable appearance classes described here would be an efficient sampling strategy. It is recommended that the appropriate PCR replication protocol for any given study should be tailored to the error rates expected for the oldest samples likely to be collected. This study is the first to thoroughly investigate the effects of sample age and season of collection on microsatellite genotyping from faecal samples and provides guidelines for sampling and PCR repetition strategies for field-based non-invasive DNA studies.

Statistical analysis of the GAMES studies

The statistical analysis of the GAMES collaborative studies presented a number of novel challenges. Estimates of allele frequencies from pooled DNA samples are subject to additional sources of error over and above the multinomial sampling error which is assumed in classical chi-squared tests for association ( Barratt et al., 2002 Barratt B.J Payne F Rance H.E Nutland S Todd J.A Clayton D.G Identification of the sources of error in allele frequency estimations from pooled DNA indicated an optimal experimental design. Annals of Human Genetics. 2002; 66: 393-405 Crossref PubMed Scopus (120) Google Scholar , Sham et al., 2002 Sham P Bader J.S Craig I O'Donovan M Owen M DNA pooling: a tool for large-scale association studies. Nature Reviews. 2002; 3: 862-871 Crossref Scopus (462) Google Scholar ). Firstly, the assumption that a pool contains an equal amount of DNA from each subject will only be approximately true since quantification is subject to error. Secondly, amplification by PCR will introduce further random error. Finally, reading of concentrations of PCR products will also introduce additional errors. A fundamental difficulty is that, while reading PCR products was replicated in the design, allowing estimation of this source of error, neither pool formation nor PCR replication, was part of the standard GAMES design. It is, therefore, impossible to formally estimate the error variance attributable to each of these additional sources. For the same reason, it is not possible to estimate how the additional components of variance (and covariance) depend upon allele frequencies. As a result, formal significance tests are impossible.