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MICRO-CHECKER: Software for identifying and correcting genotyping errors in microsatellite data

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Abstract

DNA degradation, low DNA concentrations and primer-site mutations may result in the incorrect assignment of microsatellite genotypes, potentially biasing population genetic analyses. MICRO-CHECKER is WINDOWS(R)-based software that tests the genotyping of microsatellites from diploid populations. The program aids identification of genotyping errors due to nonamplified alleles (null alleles), short allele dominance (large allele dropout) and the scoring of stutter peaks, and also detects typographic errors. MICRO-CHECKER estimates the frequency of null alleles and, importantly, can adjust the allele and genotype frequencies of the amplified alleles, permitting their use in further population genetic analysis.

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... The bullfrog populations were genotyped using 17 microsatellite loci (GenBank sequences to calculate genetic diversity and genetic structure [29]: AY323934, AY323931, AY323932, AY323930, AY323929, AY323928, HQ439092, HQ439093, HQ439094, HQ439096, HQ439097, AB911223, AB911228, AB911299, AB911231, AB911236, and AB911222. Primer sequences and the procedures used during DNA amplification were based on previously published data [30,31] (Table S2, Supplementary Materials). All primers were tagged with 5 ′ -fluorescein bases (TAMRA, FAM, or HEX). ...
... MICRO-CHECKER 2.2.3 was applied to quantify the scoring errors resulting from factors such as the large allele dropout [31], stuttering, or null alleles. GENEPOP version 4.0 was employed to test the linkage disequilibrium and Hardy-Weinberg equilibrium [36]. ...
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The introduction and subsequent range expansion of the American bullfrog (Lithobates catesbeianus) is part of a rising trend of troublesome biological invasions happening in China. This detrimental amphibious invasive species has strong adaptability. After its introduction and spread, it established its own ecological niche in many provinces of China, and its range has continued to expand to more areas. Previous studies recorded the introduction time of bullfrogs and calculated the changes in their genetic diversity in China using mitochondria, but the specific introduction route in China is still unknown. Expanding upon previous research, we employed whole-genome scans (utilizing 2b-RAD genomic sequencing) to examine single nucleotide polymorphisms (SNPs) and microsatellites within Lithobates catesbeianus to screen the genomes of these invasive amphibian species from eight Chinese provinces and two U.S. states, including Kansas, where bullfrogs originate. A total of 1,336,475 single nucleotide polymorphic loci and 17 microsatellite loci were used to calculate the genetic diversity of bullfrogs and their migration pathways. Our results suggest that the population in Hunan was the first to be introduced and to spread, and there may have been multiple introductions of subpopulations. Additionally, the genetic diversity of both the SNP and microsatellite loci in the Chinese bullfrog population was lower than that of the US population due to bottleneck effects, but the bullfrogs can adapt and spread rapidly. This study will offer crucial insights for preventing and controlling future introductions into the natural habitats in China. Additionally, it will assist in devising more precise strategies to manage the existing populations and curtail their continued expansion, as well as aim to improve clarity and originality while mitigating plagiarism risk.
... which also performed data binning. A Micro-Checker was run to check for genotyping errors like stutter bands, large allele dropouts, and null alleles (Van Oosterhout et al. 2004). To assess the genetic structure in the data, Structure 2.2. ...
... The MICROCHECKER software v. 2.2.3 [47] was used to examine the presence or absence of scoring errors in the microsatellite loci. Genetic diversity was measured as the number of alleles (NA), expected heterozygosity (H E ), and observed heterozygosity (H O ) using the CERVUS software v. 3.0 [46]. ...
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... These indices included the percentage of polymorphic loci (P), effective number of alleles (A e ), Shannon information index (I), observed heterozygosity Nei's (1973) gene diversity (h), inbreeding coefficient (F is ), coefficient of genetic differentiation between populations (F st ), and the effective number of migrants (N m ). The presence of null alleles was tested using Micro-Checker 2.2.3 (Van Oosterhout et al. 2004). Assuming inbreeding equilibrium without inbreeding depression of the investigated populations, the outcrossing rates were calculated using the formula t = (1 − F is )∕(1 + F is ) (Fyfe and Bailey 1951;Weir and Cockerham 1984). ...
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... The number of alleles (Na), polymorphic information content (PIC) and probability of identity (PI) of each microsatellite locus were calculated in Cervus v. 3.0 [52]. Microsatellite data were checked for scoring errors due to stuttering, large allele dropout and the presence of null alleles using Micro-Checker v. 2.2.3 [53]. Null allele frequencies were estimated with the expectation-maximisation algorithm using FreeNA [54]. ...
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... Genotyping errors and the presence of null alleles were checked using MICRO-CHECKER. If null alleles were detected or the loci failed to amplify in >50% of the samples, it was discarded (Van Oosterhout et al. 2004). ...
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... Estimates of genotyping errors allelic dropout (ADO) and false alleles (FA) from replicate genotyping were executed in Gimlet v.1.3.3 (Valiere 2002). The presence and frequency of null alleles were estimated using the Micro-Checker 2.2.3 software and Brookfield 1 (Oosterhout et al. 2004). Estimates of probability of identity (PID) and probability of identity for siblings (PIDsibs) were executed in Gimlet v.1.3.3. ...
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... Micro-checker ver. 2.2.3 (Van Oosterhout et al. 2004) was used to test for the presence of null alleles with 10,000 randomizations (95% confidence levels). LOSI-TAN (Antao et al. 2008) was used to detect loci that may be under positive selection, using 50,000 simulations following the infinite allele model (IAM) and stepwise mutation model (SMM) at the 95% confidence level. ...
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Seagrass beds are ecologically and economically important coastal ecosystems, and seagrass-associated organisms are a key part of their biodiversity. Marine organisms that reproduce through broadcast spawning are likely to have less genetic differentiation among populations than those that use other modes of reproduction, but this has not been well studied. Here, we investigated the genetic diversity, genetic differentiation, and migration patterns of the seagrass-associated sea star Protoreaster nodosus across 12 sites spanning approximately 2500 km from the Ryukyu Archipelago, Japan, to the Philippines. We genotyped 405 individuals by using seven microsatellite loci and analyzed allelic richness and expected heterozygosity as indices of genetic diversity. Of these two indices, only expected heterozygosity decreased slightly with increasing latitude. These results suggest that genetic diversity has not clearly decreased, even in the isolated Ryukyu Archipelago populations. Geographic distance was significantly correlated with genetic differentiation (pairwise FST: − 0.005 to 0.049). However, populations in the Ryukyu Archipelago and the Philippines showed relatively low genetic structuring and the pairwise genetic differentiation between these regions was often non-significant. Analysis of historical migration rates showed bidirectional north–south migration, which appears to be influenced by the Kuroshio Current and its countercurrents.
... The presence of null alleles (NullA) was tested using Micro-Checker (ver. 2.2.3) (Van Oosterhout et al., 2004). The FSTAT v. 2.9.3 was used to calculate allelic richness (AR), and inbreeding coefficient (FIS) (Goudet, 1995), while linkage disequilibrium test was carried out using GENEPOP v. 4.7.3 (Raymond & Rousset, 1995) using 10000 iterations and 1000 de-memorization steps. ...
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The Far Eastern freshwater mussel Sinanodonta lauta has recently been recorded in European Russia outside of its native range. As an invasive species affecting native ecosystems, this mussel is still poorly investigated in many aspects, including population genetics. In this study, we describe for the first time eight microsatellite loci that were developed based on a previously published set of microsatellite markers of the Chinese Pond Mussel (Sinanodonta woodiana).
... [25]. The presence of null alleles and estimated allele frequencies was analyzed by MICRO-CHECKER software v.2.2.3 [26]. GENETIX. ...
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The sterlet (Acipenser ruthenus) is the smallest-bodied endangered species among the six native sturgeon species of the Danube River, and self-sustaining populations still inhabit the Hungarian section of the Danube River and its largest tributary, the Tisza River. Their populations are drastically decreasing; however, they still have natural reproduction in these habitats. For the genetic conservation of the species, an ex situ gene bank is maintained in Hungary. The present study aimed to analyze the genetic resources of a gene bank with a near 40-year history and to compare it with natural populations and farmed stocks. Twelve microsatellites were used for population genetics analyses and individual genotyping of 268 specimens from two natural habitats (Danube and Tisza Rivers) and three captive stocks (a gene bank broodstock and two farms). Microsatellites revealed similar patterns among wild populations and gene bank stocks and did not show genetic differentiation (FST: 0.016–0.017) among them. These results confirmed that the gene bank broodstock properly represents the genetic background of the Danube and Tisza populations and is suitable as a source of breeding materials for the restocking programs. Negative trends were detected in the farmed stocks, reflected in reduced polymorphism at a few loci. The results of the principal component analyses indicate the farm stocks’ separation from the wild and gene bank stocks. The present genetic characterization study reveals a valuable captive stock of the endangered sterlet populations and provides unique information about the genetic similarities and differences among farms and wild stocks in Hungary. Our results provide information that contributes to preserving the genetic structure and variability in sterlet populations and supports the management of gene bank broodstock—avoiding inbreeding and preserving the unique genetic background of the Carpathian basin.
... Deviations from Hardy-Weinberg expectation were detected in 3 out of 10 loci (Table A3) and were not the consequence of null allele presence. All markers were checked for null alleles with MicroChecker software (van Oosterhout et al., 2004). This finding was expected because our study population was open, non-panmitic, and characterized by a relatively high level of genetic relatedness . ...
Article
Recent evidence indicates that individual behavioural variation in animals, defined as consistent individual differences in behaviour across contexts and time, influence ecological and evolutionary processes, and a growing number of studies demonstrate that individual behavioural variation can play a large role in shaping grouping dynamics among social animals. We studied the common degu, Octodon degus , a social rodent, to evaluate whether individual behavioural variation underlies social organization and the reproductive success of individuals within groups. We examined social groups in a population in central-north Chile during one breeding season, tested 67 adults in an open field test (i.e., the propensity to explore an unfamiliar environment) and 62 adults in a poke test (i.e., the propensity to charge an object) to quantify individual behavioural variation, determined assortment based on individual behavioural differences across 19 social groups, and performed genetic analyses to assess reproductive success. We found that the response to the poke test was repeatable, while none of the behaviours from an open field test were. The repeatable behaviour during the poke test was not associated to components of social organization (group composition), or to reproductive success. These findings imply that individual behavioural variation did not affect grouping patterns or direct fitness in this degu population.
... The number of distinct genotypes (genets) was established by deciding that missing data would not be counted. After the removal of duplicate genotypes (clones; Table 1), the presence of null alleles, stutter peaks and allele dropout was checked in the diploid populations (SP7, AU3, AU4, RO3, IT1, PL, GEO, KYR) using the MICRO-CHECKER 2.2.3 [31]. The frequency of null alleles and P-values for heterozygote deficiency were calculated using 10,000 Monte Carlo randomisations implemented in the ML-NullFreq software [32]. ...
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Trees and shrubs belonging to the genus Juniperus L. are pivotal species in arid and semi-arid ecosystems in the Northern Hemisphere. However, unfavourable phenomena are observed in their populations due to global warming. We aimed to investigate the soil requirements, genetic diversity and population history of Juniperus sabina L. from Europe, Georgia, and Kyrgyzstan. Genetic resources were evaluated in 16 populations using nuclear microsatellites, while past demographic events were described based on the chloroplast DNA haplotypes. Seven chemical parameters in 36 soil samples from the European range of J. sabina were compared. In the studied area, three distinct phylogenetic lineages corresponding to different varieties of J. sabina, namely var. sabina, var. balkanensis, and the Asian variety, were revealed. Unimodal mismatch distributions and significantly negative Tajima's D and Fu's Fs parameters indicated that the sabina and balkanensis varieties underwent a population expansion. Microsatellite variation was moderate, potentially influenced by inbreeding, clonal propagation, and limited gene flow between populations. Bayesian clustering revealed five genetic groups. Compared to var. sabina, the balkanensis variety occupies areas with significantly higher potassium content in the soil, which probably mitigates the adverse effects of drought in its localities.
... Microsatellite genotypes were determined using GeneMarker 6.4 (SoftGenetics LLC). Genotyping problems, such as null alleles, large allele drop-out, and scoring errors (Guichoux et al., 2011) were verified using Microchecker 2.2.3 (Van Oosterhout et al., 2004). Loci or sampling sites with more than 10% of null alleles were removed from further analyses. ...
Article
Neglected cryptic diversity can lead to the permanent loss of locally adapted alleles, which can reduce resilience to rapid environmental change. It can also result in overestimation of fisheries stock sizes that can result from treating different species as if they belonged to one. Bluefish ( Pomatomus saltatrix ) is considered a circumtropical and subtropical species and an important fishery resource all over the world. Differences in ecologically relevant traits are observed among isolated populations. Also, in the Southwestern Atlantic, molecular data suggest multiple populations, but these are treated as a single fish stock by regulatory agencies due to a lack of definitive information. We used whole mitogenome sequences, nuclear ( rho ) and mitochondrial ( coxI and cytb ) genes, as well as microsatellites to investigate historical and current genetic population structure and parameters of bluefish in the Western Atlantic. A total of 263 samples were collected along the Brazilian coast and in the USA (New Jersey, Northwest Atlantic). Data revealed the existence of two evolutionarily significant units (ESU) of bluefish along the South American coast, later confirmed by whole mitogenome sequencing of both haplogroups. These two ESUs have a mostly parapatric distribution, with some areas of overlap, which vary along the year. We also conducted seasonal sampling in Brazil to investigate migration patterns. ESUs occur mostly north and south of parallel 23° 40′ S, with an overlap area that varied seasonally. The level of differentiation between those two ESUs in the SW Atlantic, even in sympatry, is as high as that found between them and those from the NW Atlantic and Europe. Parapatric distribution and restricted gene flow suggest the existence of ecological barriers and local adaptation. The splitting of an ancient population from the Southwestern Atlantic into two putative species is important to understand bluefish evolutionary diversification and has implications for fishery regulatory measures in Brazil.
... other than B. griseocollis, the amplification may include null alleles that falsely inflate the level of homozygosity in the populations. We tested for null alleles and linkage disequilibrium within our loci using the program MICRO-CHECKER (Van Oosterhout et al. 2004). No null allele or linkage disequilibrium was detected, and therefore all the loci were included in the analysis. ...
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... Hardy-Weinberg equilibrium (HWE) was analyzed (Guo & Thompson, 1992) using Genepop (Raymond & Rousset, 1995;Rousset, 2008). MICROCHECKER version 2.2.3 was applied for the detection of null alleles, large allele dropout, stuttering and scoring errors (Van Oosterhout et al., 2004). Analysis of molecular variance (AMOVA) was applied for analysis of variance components at different hierarchical levels for domesticated and commercial stocks and for phylogenetic groups using Arlequin 3.5.2.2 (Excoffier & Lischer, 2010). ...
... The significance value for this parameter was estimated using 999 permutations. Previously, MICRO-CHECKER v2.23 [44] was used to explore the existence of null alleles and evaluate their impact on the estimation of genetic differentiation. Eighty-one individuals were collected from the sampling points using nets. ...
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Biodiversity conservation entails not only the preservation of specific taxa but also genetic diversity. Despite the crucial role of molecular data in freshwater fish conservation management, there is a scarcity of information regarding the genetic diversity of Luciobarbus Heckel, 1843 (Actinopterygii, Cyprinidae) populations in the Aral system. Therefore, the primary aim of this study was to provide genetic information on two native species of the Luciobarbus genus found in the Aral system: L. conocephalus (Kessler, 1872) and L. brachycephalus (Kessler, 1872). These species, like many others in the Aral system, confront the imminent threat of extinction due to system alterations. However, genetic studies on these species at the nuclear level are challenging because Luciobarbus is an allotetraploid genus. Consequently, genetic investigations thus far have focused mainly on sequencing mitochondrial genes due to their haploid nature. This study has successfully developed fifteen new polymorphic microsatellite loci, which can prove to be valuable for population genetics, conservation, and other pertinent research on these species.
... To check whether each EST-SSR locus met the requirements for population genetic analyses, we used BayeScan 2.1 (1,000,000 simulations) (Foll 2012) to identify outlier loci, which we defined as those with excessively high or low F ST compared to neutral expectations. The existence of null alleles was checked using Micro-Checker version 2.2.3 (Van Oosterhout et al. 2004) and linkage disequilibrium between loci in each population was tested using GENEPOP version 4.7 (Raymond and Rousset 1995;Rousset 2008). For these analyses, seven populations in the Hahajima Islands that did not have a pattern of admixture in Sugai et al. (2019), listed in Table S1, were used. ...
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Callicarpa subpubescens, endemic to the Ogasawara Islands, is suggested to have multiple ecotypes in the Hahajima Islands, specifically in the central part of the Ogasawara Islands. In this study, associations between genetic groups and spatial distribution, habitat, leaf morphology, size structure, and flowering time of each genetic group were investigated on Hahajima and the satellite Imoutojima Islands. Genetic groups were identified using EST-SSR markers, revealing four ecotypes named based on morphological features: Dwarf (D), Glabrescent (G), Tall (T), and Middle (M), with M being a result of the hybridization of G and T. Ecotype D, adapted to dry environments, is characterized by small tree size, dense thick leaves with abundant hairs, and is distributed in dry scrub. Ecotype G, adapted to understory of mesic forests, lacks leaf hairs. Ecotype T, adapted to the canopy of mesic forests, has hairy leaves and is tall in tree height. Ecotype M, adapted to the canopy of mesic scrub or edges of mesic forests, has hairy leaves but with a shorter tree height than ecotype T. Flowering peaks differed among all ecotype pairs except G and M, but the flowering times more or less overlapped among all ecotypes, suggesting that pre-mating isolation among ecotypes is not perfect. Postmating isolation is considered absent, as there were no differences in the results, germination, and survival rates of one-year seedlings among inter- and intra-ecotype crossings. The existence of such ecotypes provides valuable insights into the ongoing speciation processes adapting to the oceanic island environments.
... function within the "stats" package of R version 4.2.0 [31]. AR was calculated using FSTAT version 1.2 [32], and MicroChecker version 2.2.3 was used to identify null alleles [33]. Polymorphic information content (PIC) was estimated for each locus using the Excel Microsatellite Toolkit. ...
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The North African catfish ( Clarias gariepinus ) is a significant species in aquaculture, which is crucial for ensuring food and nutrition security. Their high adaptability to diverse environments has led to an increase in the number of farms that are available for their production. However, long-term closed breeding adversely affects their reproductive performance, leading to a decrease in production efficiency. This is possibly caused by inbreeding depression. To investigate the root cause of this issue, the genetic diversity of captive North African catfish populations was assessed in this study. Microsatellite genotyping and mitochondrial DNA D-loop sequencing were applied to 136 catfish specimens, collected from three populations captured for breeding in Thailand. Interestingly, extremely low inbreeding coefficients were obtained within each population, and distinct genetic diversity was observed among the three populations, indicating that their genetic origins are markedly different. This suggests that outbreeding depression by genetic admixture among currently captured populations of different origins may account for the low productivity of the North African catfish in Thailand. Genetic improvement of the North African catfish populations is required by introducing new populations whose origins are clearly known. This strategy should be systematically integrated into breeding programs to establish an ideal founder stock for selective breeding.
... MICRO CHECKER V2.2.3 was used to test for the presence of null alleles for all loci (Van Oosterhout et al. 2004). GENAIEX V6.5 was used to analyze the number of alleles (AO), observed heterozygosity (HO), Figure 1 Difference in individuals' genetic relatedness between lightly and severely degraded grasslands. ...
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Grassland degradation is challenging the health of grassland ecosystems globally and causing biodiversity decline. Previous studies have demonstrated the impact of grassland degradation on the abundance and behavior of small mammals. Little is known about how it affects the genetic structure of gregarious mammals in the wild. This study explores the effects of grassland degradation on the genetic structure of a small burrowing mammal, plateau pika ( Ochotona curzoniae ). We used nine microsatellite loci to analyze the genetic diversity and genetic differentiation between colonies and genetic relatedness between individuals within the colony. We found that pikas in severely degraded grasslands had a significantly higher genetic diversity within colonies, a higher level of gene flow between colonies, and a lower genetic differentiation between colonies compared to pikas in less degraded grasslands. Individuals within colonies had a significantly lower genetic relatedness in severely degraded grasslands than in less degraded grasslands. This study has provided potential evidence of a significant impact of grassland degradation on the genetic structure of pikas, which has caused a breakdown of their kin‐selected colony structure.
... The significance criteria of all multiple tests were corrected by the continuous Bonferroni method. Invalid alleles were detected using Micro-Checker software (van Oosterhout et al. 2004). ...
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The sea urchin Tripneustes gratilla holds substantial ecological and economic importance in tropical marine ecosystems. To better understand the population structure and genetic diversity of T. gratilla, here we developed a suite of 29 polymorphic microsatellite makers based on high-throughput sequencing. The range of alleles characterized by these primers varied from 6 to 19, with an average number of 12.31. The observed and expected heterozygosities ranged from 0.250 to 1.000 and from 0.808 to 0.955, respectively. All the polymorphism information content values of the 29 loci were above 0.5, suggestive of highly informative. Demonstrating adherence to Hardy–Weinberg equilibrium, these 29 primer pairs present robust candidates for conducting population genetics and phylogeographic analyses in T. gratilla, which may provide valuable information for sustainable management and conservation efforts of this urchin.
... Allele sizes were determined using a GS-600 LIZ size standard and Gene-Mapper v. 5.0 (ABI) software. The computer program MICRO-CHECKER [39] was used to check for null alleles and reading/typing errors for the microsatellite data. All samples were genotypes at all loci. ...
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This study investigated the close kinship structure of southern right whales on feeding grounds during austral summer seasons. The study was based on biopsy samples of 171 individual whales, which were genotyped with 14 microsatellite DNA loci. Kinship was investigated by using the LOD (Log Odds) score, a relatedness index for a pair of genotypes. Based on a cut-off point of LOD PO > 6, which was chosen to balance false positives and negatives, a total of 28 dyads were inferred. Among these, 25 were classified as parent-offspring pairs. Additional genetic (mitochondrial DNA haplotypes) and biological (estimated body length, sex) data were used to provide additional information on the inferred close kin pairs. The elapsed time between sampling varied from 0 (close kin detected in the same austral summer season) to 17 years. All the kin pairs occurred within the Antarctic Indo sector (85°-135°E) and no pair occurred between whales within and outside of this sector. Six pairs were between individuals in high (Antarctic) and lower latitudes. Results of the present analysis on kinship are consistent with the views that whales in the Indo sector of the Antarctic are related with the breeding ground in Southwest Australia, and that whales from this population can occupy different feeding grounds. The present study has the potential to contribute to the conservation of the southern right whales through the monitoring of important population parameters such as population sizes and growth rate, in addition to assist the interpretation of stock structure derived from standard population genetic analyses.
... Possible genotyping errors, allele dropout and non-amplified alleles (null alleles) were detected using MICRO-CHECKER (van Oosterhout et al., 2004). Deviations from Hardy-Weinberg Equilibrium (HWE) and gametic disequilibrium were calculated using Arlequin v 3.5.2.2 (Excoffier and Lischer, 2010). ...
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... For these loci, amplification was carried out for each primer pair individually, while genotyping was done in multiplex (Supplemental File S1-sheet 3), except for the 99_CT locus which was performed individually. Putative null alleles were detected using Micro-Checker v. 2.2.3 (Van Oosterhout et al. 2004). Population genetic parameters (number of alleles (Na), expected and observed heterozygosity (He and Ho), Hardy-Weinberg equilibrium (HWe), linkage disequilibrium (LD)) per locus and population were calculated using GenAlEx v6.502 (Peakall and Smouse 2012) and the web version of GENEPOP (Raymond and Rousset 1995;Rousset 2008) in a set of 10 individuals for each species. ...
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Captive breeding programs play an important role in preserving the genetic diversity of endangered species. It is of utmost importance to conduct genetic assessment for captive populations in order to develop scientific breeding plans and conservation management strategies. Here, we genotyped 10 microsatellite loci and sequenced 368 bp of mitochondrial DNA control region for the golden snub‐nosed monkey (Rhinopithecus roxellana) from eight captive populations in China, and compared the genetic indices of captive populations with a wild population. Meanwhile, we performed paternity tests to verify the genealogical records and established genetic lineages. A total of 157 individuals were identified from 161 fecal samples, including 135 captive individuals (approximately 25% of captive individuals in China). Microsatellite analysis showed that the nine populations had moderate levels of genetic diversity, with polymorphism information content (PIC) ranging from 0.43 to 0.542; the genetic diversity of captive populations (average PIC: 0.503) was slightly higher than that of the wild population (PIC: 0.438). The Structure analysis indicated that individuals of the eight captive populations contained two different genetic components. We conducted either single‐blind or double‐blind paternity testing on 40 offspring of captive individuals and found that five offspring from two zoos (Nanjing Hongshan Forest Zoo and Shanghai Wild Animal Park) showed discrepant kinships from their pedigree records, probably due to the inaccuracies in pedigree records. By constructing genetic pedigrees, inbred offspring were found in Beijing Zoo, Shanghai Zoo, Hangzhou Zoo, and Chengdu Zoo. Analysis based on mitochondrial DNA showed a high level of genetic diversity in the eight captive populations (mean nucleotide diversity: 0.047). However, no nucleotide diversity was found in the wild population. This study conducted a genetic survey for captive golden snub‐nosed monkeys and will significantly benefit the genetic conservation management for captive populations in the future.
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Humans and wildlife experience complex interactions in urban ecosystems, favoring the presence of commensal species, among which invasive species are particularly successful. Rodents are the main vertebrate group introduced to oceanic islands, where the invasion process and dispersal patterns strongly influence their evolutionary and genetic patterns. We evaluated the house mouse Mus musculus and the black rat Rattus rattus on Cozumel Island, Mexico. We assessed genetic diversity and structure, connectivity, gene flow, relatedness and bottleneck signals based on microsatellite loci. Our genetic findings suggest that introduction of individuals of different geographic sources to the island promotes high allelic diversity and the effective establishment of migrants. We identified a clear genetic structure and low connectivity for the two species, tightly linked with anthropogenic and urban features. Notably, we found that the genetic structure of the house mouse sampled within the city of San Miguel Cozumel is associated with the historical human population growth pulses accompanying the urbanization of the city. At the fine-scale genetic level, the main urban drivers of connectivity of the house mouse were both the impervious land surfaces, i.e. the urban landscape, and the informal commerce across the city (a proxy of resources availability). Chances of a secondary invasion to natural environments have been relatively low, which is crucial for the endemic taxa of the island. Nonetheless, improving urban planning to regulate future expansions of San Miguel Cozumel is of the outmost importance to prevent these invasive species to disperse further.
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Extra-pair paternity is widespread in passerine birds. The number of extra-pair young (EPY) varies among different species and populations of the same species. We tested if it is a case for a small passerine bird with poly-territorial behaviour, the Wood Warbler (Phylloscopus sibilatrix). The results are based on the microsatellite analysis of seven loci and revealed a high level of EPY in Central Russia population of Wood Warbler (EPY in 41% of all nests, 16 of 39 nests; 25% of all young were EPY, 52 of 212 young). We did not find relationship between relatedness among mates in the pair and the presence of EPY. There was no difference in heterozygosity and body mass between EPY and within pair young (WPY). Possible causes of extra-pair paternity are discussed.
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Genetic diversity underpins evolutionary potential that is essential for the long‐term viability of wildlife populations. Captive populations harbor genetic diversity potentially lost in the wild, which could be valuable for release programs and genetic rescue. The Critically Endangered Arabian leopard (Panthera pardus nimr) has disappeared from most of its former range across the Arabian Peninsula, with fewer than 120 individuals left in the wild, and an additional 64 leopards in captivity. We (i) examine genetic diversity in the wild and captive populations to identify global patterns of genetic diversity and structure; (ii) estimate the size of the remaining leopard population across the Dhofar mountains of Oman using spatially explicit capture–recapture models on DNA and camera trap data, and (iii) explore the impact of genetic rescue using three complementary computer modeling approaches. We estimated a population size of 51 (95% CI 32–79) in the Dhofar mountains and found that 8 out of 25 microsatellite alleles present in eight loci in captive leopards were undetected in the wild. This includes two alleles present only in captive founders known to have been wild‐sourced from Yemen, which suggests that this captive population represents an important source for genetic rescue. We then assessed the benefits of reintroducing novel genetic diversity into the wild population as well as the risks of elevating the genetic load through the release of captive‐bred individuals. Simulations indicate that genetic rescue can improve the long‐term viability of the wild population by reducing its genetic load and realized load. The model also suggests that the genetic load has been partly purged in the captive population, potentially making it a valuable source population for genetic rescue. However, the greater loss of its genetic diversity could exacerbate genomic erosion of the wild population during a rescue program, and these risks and benefits should be carefully evaluated. An important next step in the recovery of the Arabian leopard is to empirically validate these conclusions, implement and monitor a genomics‐informed management plan, and optimize a strategy for genetic rescue as a tool to recover Arabia's last big cat.
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Rice paddies are wetland ecosystems recognized as important habitats for many organisms; however, the hybridization‐related extinction risk of native plant species has not been investigated in this system so far. Eclipta L. (Compositae) is a common paddy weed in Japan; however, its genetic composition might be altered due to the hybridization between the native E. thermalis and the closely related exotic E. alba . We examined Eclipta 's genetic composition using 12 microsatellite markers (612 samples collected from 109 populations) and found (i) widespread geographical distribution of E. alba in Japan, (ii) hybridization with E. thermalis , and a large number of later‐generation hybrids, and (iii) widely varying situations among regions and populations. Eclipta alba appears to have invaded an open niche in northern Japan but has not yet reached southern Japan. Both E. alba and E. thermalis were found in central Japan; however, the latter had become rare due to hybridization‐mediated processes such as competition, and demographic and genetic swamping. Notably, endogenous and exogenous selection plays an important role in the invasion of E. alba , but to varying degrees among different areas. In summary, considering the genetic variability in E. thermalis , the genetic cluster of mainland Japan is in a highly critical situation due to the invasion of E. alba .
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Forests help to reduce global warming by capturing and storing atmospheric carbon. Understanding the genetics of keystone species at a population level is vital for the management and sustainable utilization of forest genetic resources. A comprehensive population genetics study was carried out on Rubroshorea curtisii, an important widespread hill dipterocarp species in Peninsular Malaysia. A total of 41 populations across its distribution range in Peninsular Malaysia were collected to elucidate the genetic diversity and ultimately provide management guidelines for this species. The population samples were analysed using 10 polymorphic microsatellite loci and sequenced with three chloroplast DNA (cpDNA) regions. A total of 145 alleles were derived from the microsatellite loci, and 21 haplotypes were identified based on 1,113 bp of concatenated cpDNA sequences. The populations showed moderately high genetic diversity (mean HE = 0.627 for microsatellite gene diversity and HT = 0.574 for average haplotype diversity) but low genetic differentiation (FST = 0.036). Using Bayesian clustering, the studied populations can be divided into two groups, one of which shows further substructuring. Further sub-structuring in Cluster 1 led to sub-clustering of 1a and 1b. Bottleneck analysis did not detect any recent bottleneck events. Based on our findings, priority areas for in situ and ex situ conservation and minimum population size are recommended for the sustainable utilization of R. curtisii.
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Better knowledge of genetic relationships between the Fortymile caribou herd and its neighbors is needed for conservation decision-making in Canada. Here, we contribute the first fine-scale analysis of genetic population structure in nine contiguous caribou herds at the geographic boundaries between Barren-ground and Northern Mountain caribou, and at the Alaska-Yukon border. Using pairwise differentiation metrics, STRUCTURE, and discriminant analysis of principal components (DAPC) to analyze 15 microsatellite loci in 379 caribou, we found complex patterns of genetic differentiation. The Fortymile was the only herd assigned to more than one genetic cluster, indicative of its history as a larger herd whose range expansions and gene flow to other herds were likely important to maintaining diversity across a functioning genetic metapopulation. Some small herds (Chisana, Klaza, and White Mountains) were genetically distinct, while others (Hart River, Clear Creek, Mentasta) exhibited little differentiation from herds they occasionally overlap, including herds assigned to different conservation units (DUs). This genetic connectivity does not result from demographic connectivity, as episodic contact during rut, rather than herd switching, is the likely mechanism. Unusually, one small herd (White Mountains) maintained genetic differentiation despite rut overlap with Fortymile. Our data reveal that some herds with different ecological and behavioral attributes are demographically independent but nonetheless genetically connected. Thus, we suggest that managing caribou for an appropriate level of genetic connectivity, while also supporting herd persistence, will be essential to conserve caribou genetic diversity in the region.
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Arctic regions of northeastern Asia represent areas of secondary contact of the glacial phylogenetic lineages of charrs belonging to the genus Salvelinus (Salmoniformes: Salmonidae). However, the post‐glacial dispersion of charr across Arctic regions is poorly understood, as knowledge of populations from Chukotka and its neighbouring areas remains limited. Specifically, there is no clear understanding of which charr species inhabit significant regions of Chukotka from the sea coasts to the Kolyma drainage. In this study, we explored the affiliation of lacustrine charrs from the Chukotka area with (1) the Arctic lineage of Taranetz' charr ( Salvelinus taranetzi ); (2) the Bering lineage of Northern Dolly Varden ( Salvelinus malma malma ) and (3) the Siberia and Atlantic lineages of Arctic charr ( Salvelinus alpinus ). We analysed sequence variation of the mitochondrial DNA control region (mtDNA CR; 960 base pairs) and genotyped seven microsatellite loci of nuclear DNA from charr collected at 13 sampling sites. We found different consequences of secondary contact: (1) complete fixation of introgressed mtDNA (mitochondrial capture) and (2) preservation of several mtDNA lineages with the absence of contemporary gene flow between resident populations. Combining the distribution patterns, phylogenetic network topology and knowledge of the glaciation history of the region, we propose two zones of secondary contact of the glacial lineages in Chukotka–Kolima‐Chukotka River system and Paleo‐Amguema River–from where charrs with introgressed genomes spread throughout this range. However, in some cases, the process of foreign mtDNA capture likely occurs in a more localised manner.
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Context Elucidating how demography and contemporary landscape features regulate functional connectivity is crucial to implementing effective conservation strategies. We assessed the impacts of landscape features on the genetic variation of a locally endangered carnivore, the leopard cat ( Prionailurus bengalensis ) in Taiwan. Objectives We aim to evaluate the association between genetic structure and landscape features. We further predicted the changes in genetic diversity and suitable habitats in the future. Methods We genotyped 184 leopard cats in western Taiwan using 12 nuclear microsatellites and a mitochondrial marker. We applied a landscape optimization procedure with two genetic distances to identify major genetic barriers and employed ecological niche modeling to predict the future distribution of the leopard cat. Results Bayesian demographic inferences revealed a dramatic population decline for all leopard cat populations in Taiwan. Genetic clustering and resistance surface modeling supported that the population connectivity was influenced by highways and high elevation. Niche modeling indicated low temperature was one of the primary factors limiting the occurrence of leopard cats that may inhibit their movement in high elevations. We predicted the suitable habitats of leopard cats would shrink northward and towards higher altitudes with rugged topography in response to global warming. Conclusions Our study provided genetic evidence that leopard cats in Taiwan had undergone a dramatic population decline that may be associated with anthropogenic impacts. We also inferred the anthropogenic linear feature compromised the connectivity and persistence of leopard cats in human-mediated landscapes. Our finding serves as a model for landscape genetic studies of island carnivores in subtropical regions.
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Genetic analyses were conducted to investigate the individual identification (and matching) of southern right whales (Eubalaena australis) from samples collected in the austral summer in the Indian Ocean sector of the Antarctic (between 80°–135°E, south of 60°S). The study was conducted to evaluate the utility of this approach for studies on site fidelity and range. In total, 157 skin biopsy samples were collected from free-ranging whales during fourteen summer surveys. The DNA was extracted from each biopsy sample, genotyped at fourteen microsatellite loci, sequenced for 381 nucleotides of the mtDNA control region, and the sex determined by the presence of a Y-chromosome specific locus. Eight matches were detected (four males and four females) using individual matching by multi-locus genotypes supported by mtDNA haplotype and sex determination. Where photographs were available, two matches were confirmed by photo-identification. These eight re-samples show that at least some males and females returned to the same feeding grounds across years. The average longitudinal dispersal ranges, latitudinal dispersal ranges and average direct distances between marks and recaptures were: 13°06′ and 7°15′; 1°23′ and 0°47′; and 361 n.miles and 199 n.miles for males and females, respectively. The time spans ranged from 3–13 years with an average of 6.7 and 7.8 years for males and females, respectively. Sampling and matching occurred in an area where visual surveys showed aggregations of southern right whales associated with high krill concentration. The study confirms the feasibility of the genetic approach, but more definitive inferences on site fidelity and movement ranges will require a large number of biopsy samples genotyped, from both south and north of 60°S.
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Growing interest in microsatellite genotyping, combined with noninvasive genetic sampling has led to the increased production of data. New tools to analyse these data are required. gimlet is a user-friendly software package designed to perform several simple tasks: (i) construction of consensus genotypes from repeated genotyping; (ii) estimation of genotyping error rates; (iii) identification of identical genotypes; (iv) comparison of new genotypes to a set of reference genotypes; (v) determination of the kinship; and (vi) estimation of several population parameters such as allele frequencies, heterozygosity, probability of identity, and population size.
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The unambiguous identification of Central Valley spring-run chinook salmon has become imperative since their proposed listing in 1998. The accuracy of methods used to assign individuals to their stock of origin is critical for understanding juvenile migration patterns and determining the success of protection measures. Existing microsatellites discriminate between the endangered winter-run and other chinook but are insufficient to characterize phylogenetically less distinct runs. Here, we isolated and developed highly variable tetranucleotide microsatellites for the specific goal of increasing discriminatory power among closely related populations, providing a new power towards the reliable differentiation of nonwinter runs
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Keywords:DNA profiles;heterozygote deficiency;maximum likelihood estimation;null alleles
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Paternity inference using highly polymorphic codominant markers is becoming common in the study of natural populations. However, multiple males are often found to be genetically compatible with each offspring tested, even when the probability of excluding an unrelated male is high. While various methods exist for evaluating the likelihood of paternity of each nonexcluded male, interpreting these likelihoods has hitherto been difficult, and no method takes account of the incomplete sampling and error-prone genetic data typical of large-scale studies of natural systems. We derive likelihood ratios for paternity inference with codominant markers taking account of typing error, and define a statistic delta for resolving paternity. Using allele frequencies from the study population in question, a simulation program generates criteria for delta that permit assignment of paternity to the most likely male with a known level of statistical confidence. The simulation takes account of the number of candidate males, the proportion of males that are sampled and gaps and errors in genetic data. We explore the potentially confounding effect of relatives and show that the method is robust to their presence under commonly encountered conditions. The method is demonstrated using genetic data from the intensively studied red deer (Cervus elaphus) population on the island of Rum, Scotland. The Windows-based computer program, CERVUS, described in this study is available from the authors. CERVUS can be used to calculate allele frequencies, run simulations and perform parentage analysis using data from all types of codominant markers.
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Although it is clear that errors in genotyping data can lead to severe errors in linkage analysis, there is as yet no consensus strategy for identification of genotyping errors. Strategies include comparison of duplicate samples, independent calling of alleles, and Mendelian-inheritance-error checking. This study aimed to develop a better understanding of error types associated with microsatellite genotyping, as a first step toward development of a rational error-detection strategy. Two microsatellite marker sets (a commercial genomewide set and a custom-designed fine-resolution mapping set) were used to generate 118,420 and 22,500 initial genotypes and 10,088 and 8,328 duplicates, respectively. Mendelian-inheritance errors were identified by PedManager software, and concordance was determined for the duplicate samples. Concordance checking identifies only human errors, whereas Mendelian-inheritance-error checking is capable of detection of additional errors, such as mutations and null alleles. Neither strategy is able to detect all errors. Inheritance checking of the commercial marker data identified that the results contained 0.13% human errors and 0.12% other errors (0.25% total error), whereas concordance checking found 0.16% human errors. Similarly, Mendelian-inheritance-error checking of the custom-set data identified 1.37% errors, compared with 2.38% human errors identified by concordance checking. A greater variety of error types were detected by Mendelian-inheritance-error checking than by duplication of samples or by independent reanalysis of gels. These data suggest that Mendelian-inheritance-error checking is a worthwhile strategy for both types of genotyping data, whereas fine-mapping studies benefit more from concordance checking than do studies using commercial marker data. Maximization of error identification increases the likelihood of linkage when complex diseases are analyzed.
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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.
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Protein, mtDNA, and nuclear microsatellite DNA analyses have demonstrated that the Yellowstone grizzly bear has low levels of genetic variability compared with other Ursus arctos populations. Researchers have attributed this difference to inbreeding during a century of anthropogenic isolation and population size reduction. We test this hypothesis and assess the seriousness of genetic threats by generating microsatellite data for 110 museum specimens collected between 1912 and 1981. A loss of variability is detected, but it is much less severe than hypothesized. Variance in allele frequencies over time is used to estimate an effective population size of approximately 80 across the 20th century and >100 currently. The viability of the population is unlikely to be substantially reduced by genetic factors in the next several generations. However, gene flow from outside populations will be beneficial in avoiding inbreeding and the erosion of genetic diversity in the future.
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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.
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Despite increasing evidence that current exploitation rates can contribute to shifts in life-history traits and the collapse of marine fish stocks, few empirical studies have investigated the likely evolutionary impacts. Here, we used DNA recovered from a temporal series of archived North Sea cod (Gadus morhua) otoliths, to investigate genetic diversity within the Flamborough Head population between 1954 and 1998, during which time the population underwent two successive declines. Microsatellite data indicated a significant reduction in genetic diversity between 1954 and 1970 (total number of alleles: 1954, 46; 1960, 42; 1970, 37), and a subsequent recovery between 1970 and 1998 (total number of alleles: 1970, 37; 1981, 42; 1998, 45). Furthermore, estimates of genetic differentiation (F(ST) and R(ST)) showed a significant divergence between 1998 and earlier samples. Data are consistent with a period of prolonged genetic drift, accompanied by a replacement of the Flamborough Head population through an increased effective migration rate that occurred during a period of high exploitation and appreciable demographic and phenotypic change. Other studies indicate that diversity at neutral microsatellite loci may be correlated with variability at selected genes, thus compromising a population's subsequent recovery and adaptive potential. Such effects are especially pertinent to North Sea cod, which are threatened by continuing exploitation and rising sea temperatures.
Assessing allelic dropout and genotyping reliability using maximum likelihood
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Miller CR, Joyce P, Waits LP (2002) Assessing allelic dropout and genotyping reliability using maximum likelihood. Genetics, 160, 357–366.
Apparent heterozygote deficiencies observed in DNA typing data and their implications in forensic applications
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