Infinite Allele Model Research Articles

Bottleneck Effect Analysis in Indigenous Poonchi Chicken Located Near International Border of India and Pakistan

Background: Poonch is the remotest district of Jammu, India located near to line of control with Pakistan. Poonchi chicken is the first native poultry breed of Jammu region which is being characterized and registered with National Bureau of Animal Genetic Resources. Present study is the first study on genetic bottleneck assessment in Poonchi chicken population using recommended microsatellite markers. This study in Poonchi chicken would be of immense use in tracing evolutionary origin and formulating effective conservation strategies for genetic diversity within breeds. Methods: Blood samples were collected randomly from Poonch and Rajouri districts of Jammu for DNA extraction and analysis. Microsatellite markers selected for the analysis were ADL0268, MCW0206, MCW0081, ADL0278, MCW0069, MCW0248, MCW0111, MCW0222, MCW0016 and LEI0094. To evaluate the Poonchi chicken for mutation drift equilibrium, Bottleneck software was used. Infinite allele model (IAM), two phase model of mutation (TPM) and stepwise mutation model (SMM) tests were done. Mode shift test was also used as another method of qualitative test for allele frequency. Result: Total number of alleles observed were 72, with the total number alleles ranged from 6 to 9. The results of all three models (IAM, TPM, SMM) in Sign test depicted the heterozygosity was more in the expected number of loci in Poonchi chicken as 5.97 (P less than 0.05), 5.93 (P less than 0.05), 5.90 (P less than 0.05) respectively. Whereas for Wilcoxon rank test the IAM, TPM and SMM revealed significant values of (P less than 0.05) deviation indicating that all the loci deviate from mutation-drift equilibrium. Mode shift test graph obtained depicted a slight shift from normal L-shaped curve indicating recent bottleneck effect in Poonchi chicken. This might have resulted in the loss of number of effective alleles which suggests a need of planning and implementing an effective breeding policy in order to preserve and promote this native breed.

F ST between haploids and diploids in species with discrete ploidy phases.

Many organisms alternate between distinct haploid and diploid phases, which generates population structure according to ploidy level. In this research, we consider a haploid-diploid population using statistical approaches developed for spatially subdivided populations, where haploids represent one "patch" and diploids another "patch". In species with alternating generations, sexual reproduction causes movement from diploids to haploids (by meiosis with recombination) and from haploids to diploids (by syngamy). Thus, an allele in one ploidy phase can be said to "migrate" to the other ploidy phase by sexual reproduction and to "remain" in the same ploidy phase by asexual reproduction. By analyzing a coalescent model of the probability of identity by descent and by state for a haploid-diploid system, we define FST-like measures of differentiation between haploids and diploids and show that these measures can be simplified as a function of the extent of sexuality in each ploidy phase. We conduct simulations with an infinite-alleles model and discuss a method for estimating the degree of effective sexuality from genetic data sets that uses the observed FST measures of haploid-diploid species.

Microsatellite-based bottleneck analysis and migration events among four native Turkish goat breeds

Abstract. Molecular data analyzed by accurate statistical approaches not only have the potential to investigate demographic events faced in the past, e.g., migration, but they also offer significant hints such as bottleneck effects to take suitable measures for sustainable breeding in farm animals. In this study, the genetic bottleneck and migration events among four native Turkish goat populations, i.e., Hair, Honamlı, Kabakulak, and Norduz, were assessed using 367 multi-allelic data belonging to 28 microsatellite loci. The null hypothesis was not rejected for the Wilcoxon sign rank test in the infinite allele model, two-phase model, and stepwise mutation model, while a normal L-shaped distribution of allele frequencies was observed in terms of mode-shift indicators in four native Turkish goat populations. Both the Wilcoxon sign rank test and the mode-shift indicator demonstrated that Anatolian goat populations have had a lack of recent genetic bottlenecks and have maintained their effective population sizes over the generations. Moreover, the 95 % confidence interval confirmed that the effective population sizes of Hair, Honamlı, and Kabakulak may reach infinity, while the highest effective population size for Norduz was estimated at 794.5, when the lowest allele frequency was considered to be 0.01. Up to four migration events revealed a significant migration from Norduz to Hair and Kabakulak populations. In contrast, no migration from other populations to Norduz was observed, most probably due to its geographic isolation. The bottleneck results may serve as a guide for future management practices, whereas further studies, especially on a whole-genome basis, are needed to confirm migration events among Anatolian goat breeds.

Genetic characterization and diversity assessment in ‘Bhangor’ indigenous swamp buffalo population using heterologous microsatellite markers

‘Bhangor’ newly identified swamp buffalo population from North East Indian, was characterized using microsatellite markers. Genomic DNA was isolated from blood samples of 76 unrelated animals, 15 microsatellite markers (CSSM33, BM1818, CSRM60, HEL13, ILSTS019, ILSTS025, ILSTS028, ILSTS029, ILSTS033, ILSTS036, ILSTS056, ILSTS058, ILSTS061, ILSTS089 and ETH003) were found to be highly polymorphic in the population of the selected markers. A total of 114 alleles were observed, which ranged from 3 in CSRM60 and ILSTS025 locus to 12 in ILSTS056 and ILSTS061. The mean effective number of alleles across all polymorphic loci was found to be 3.76. The overall mean expected heterozygosity and unbiased expected heterozygosity values were 0.67 and 0.68, ranging from 0.067 (ILSTS025) to 0.85 (ILSTS058) and 0.068 (ILSTS025) to 0.86 (ILSTS058), respectively. Within the population, the inbreeding estimates (FIS) ranged between −0.4352 and 0.804, with an average FIS of 0.114 ± 0.033. The outcome for infinite allele model (IAM), two-phase model (TPM) and test for mode shift revealed the absence of any recent bottleneck in the investigated buffalo population. The population was found to be in optimum diversity based on polymorphic microsatellite markers. With fast changing agro-climatic conditions; there is an urgent need to characterize the nondescript livestock populations.

Genetic diversity and structure among four provenances of Gelam (Melaleuca cajuputi subsp. cumingiana) and implications for gene conservation and rehabilitation of degraded peat swamp forest in Indonesia

Gelam (Melaleuca cajuputi subsp. cumingiana) is an important pioneer species of tropical peat swamp forests in Indonesia. We collected 95 DNA of dry leaf samples in four provenances in Indonesia (South Sumatera, Bangka, South Kalimantan, Papua) and 8 SSR markers were used to analyze the genetic correlation and genetic diversity which plays an important role in providing survival, reducing inbreeding, and preventing inferior offspring to meet forest rehabilitation needs. Our study revealed that the genetic diversity of gelam was comparably high due to geographical isolation and divided into five clusters. The genetic diversity among provenances and individuals within provenances was 7.11% and 14.85%, respectively. Papua showed the highest genetic diversity, based on the effective number of alleles, Shannon index, expected heterozygosity, allelic richness, and number of private alleles. The highest heterozygosity and rare alleles were found in South Kalimantan and Bangka. However, the coefficient of inbreeding was significant within provenances (p < 0.05) for all provenances, indicating inbreeding. We detected significant differences in heterozygosity using a two-phase model and a stepwise mutation model in a bottleneck test, although there was no significant difference when using an infinite allele model. These results suggest that the high genetic diversity among provenances could promote the future breeding programs and develop conservation strategies for gelam.

Assessment of Mutation Drift Equilibrium and the Occurrence of a Recent Genetic Bottleneck in South Indian Zebu Cattle.

Simple SummaryThis study was conducted on eight Indian zebu breeds with an objective to reveal any cryptic genetic bottlenecks in the population. The alarming reduction in the effective population size of these breeds was the major reason for conducting this study. Genotyping of 27 FAO/ISAG-recommended microsatellite markers and further statistical analysis using allele frequency data under three different models of mutation revealed the absence of recent genetic bottlenecks in any of the populations under study. The results from the qualitative test of mode shift distortion were in accordance with the above findings. Even though the results of the present study indicated little or no critical loss of rare alleles in any of the breeds understudy, the chances of this happening cannot be completely ignored. One of the plausible explanations for this scenario could be the potential gene flow from commercial taurine cattle through indiscriminate crossbreeding in the native tract of these breeds. Thus, we here emphasize the need of further initiatives for improving selective breeding practices in order to conserve and effectively utilize the existing South Indian zebu cattle genetic diversity.During the last few decades, the effective population size of indigenous zebu cattle breeds has declined drastically, resulting in the classification of some of them into the vulnerable, endangered, or critically endangered category. Drastic reductions in the effective size of a population may result in genetic bottlenecks and can affect within-breed genetic variability and its viability. The present study was undertaken with the objective of evaluating South Indian zebu cattle populations for mutation drift equilibrium and to detect the occurrence of recent genetic bottleneck events. A total of 293 cattle from eight indigenous breeds were genotyped at 27 FAO/ISAG-recommended microsatellite marker loci. Three different statistical tests, viz., the sign test, standardized differences test, and Wilcoxon sign rank test were performed using allele frequency data to detect loci with heterozygosity excess under the infinite alleles, stepwise, and two-phase mutation models. Under the infinite alleles model, the observed number of loci with heterozygosity excess (He > Heq) ranged between 10 and 19 among the investigated cattle breeds. However, the observed heterozygosity excess was not statistically significant (p > 0.05) in any of the studied breeds. Similarly, the standardized differences test and Wilcoxon sign rank test revealed no concrete evidence for the occurrence of a recent genetic bottleneck in South Indian zebu cattle breeds. The qualitative test for mode-shift distortion revealed a normal L-shaped distribution of allele frequencies, suggesting a lack of evidence for the loss of low-frequency alleles in all the investigated South Indian zebu cattle breeds.

Pathogenic and genetic diversity ofPuccinia triticinafrom triticale in Poland between 2012 and 2015

AbstractVariation amongPuccinia triticinaisolates collected from triticale in Poland between 2012 and 2015 was studied based on virulence and simple sequence repeat (SSR) markers. Two hundred and forty‐two single‐uredinial isolates from four geographically separated locations were tested for virulence against 33 near‐isogenic Thatcher lines containing knownLrresistance genes, and their molecular genotypes were characterized with 34 SSR markers. Structure and relationships of the regional and annual populations ofP.triticinawere analysed using an assignment‐based approach for both the virulence and SSR data. The molecular marker analysis was based on two different models of SSR evolution: the stepwise mutation model with a variable mutation rate (SMMv) and the infinite alleles model (IAM). A highly significant deviation from Hardy–Weinberg equilibrium among SSR genotypes, a high proportion of heterozygotes, and a moderate association of relationships between virulence phenotypes and SSR genotypes were consistent with the occurrence of clonal lineages of related races within the population. While the results suggest that genetic drift and mutation affect variation within the pathogen population, it seems that migration has the most significant role in shaping the population structure ofP.triticinaoccurring on triticale in Poland.

YMrCA: Improving Y-chromosomal ancestor time estimation for DNA kinship research.

The Y-chromosome is a valuable kinship indicator in family history and forensic research. To reconstruct genealogies, the time to the most recent common ancestor (tMRCA) between paternal relatives can be estimated through Y-STR analysis. Existing models are the stepwise mutation model (SMM, only one-step Y-STR changes) and the infinite allele model (IAM, new allele per Y-STR change). In this study, these mutation models and all existing tMRCA calculators were validated through a genetic-genealogy database containing 1,120 biologically related genealogical pairs confirmed by 46 Y-STRs with known tMRCA (18,109 generations). Consistent under- and overestimation and broad confidence intervals were observed, leading to dubious tMRCA estimates. This is because they do not include individual mutation rates or multi-step changes and ignore hidden multiple, back, or parallel modifications. To improve tMRCA estimation, we developed a user-friendly calculator, the "YMrCA", including all previously mentioned mutation characteristics. After extensive validation, we observed that the YMrCA calculator demonstrated a promising performance. The YMrCA yields a significantly higher tMRCA success rate (96%; +20%) and a lower tMRCA error (7; -3) compared to the mutation models and all online tMRCA calculators. Therefore, YMrCA offers the next step towards more objective tMRCA estimation for DNA kinship research.

Assessing new SSR markers for utility and informativeness in genetic studies of brown rust fungi on wheat, triticale, and rye

AbstractThe aim of the present study was to validate new simple‐sequence repeat (SSR) markers and use them to assess genetic variability among 24 isolates of Puccinia triticina collected from wheat (Pt‐wheat) and triticale (Pt‐triticale), and 15 isolates of P. recondita f. sp. secalis (Prs) collected from rye. The Pt and Prs isolates were tested for virulence on a set of 35 Thatcher wheat near‐isogenic lines, eight rye lines with known resistance genes, and 53 triticale cultivars with uncharacterized leaf rust resistance. Molecular genotypes were determined using a newly developed set of 34 SSR microsatellite primer pairs. All SSR markers tested on Pt isolates successfully amplified fragments of appropriate size. When tested on the Prs isolates, 21 out of the 34 Pt SSRs amplified expected fragments. Sixteen of these 21 SSRs were polymorphic, providing for the first time microsatellite markers to study genetic variation in Prs. Based on virulence data, variation among Prs isolates was low, probably due to the small number of rye differential lines available. Much higher variation for virulence was observed within the collection of Pt isolates from wheat and triticale, and two separate groups were established with mixed host origin. Substantial genetic variation was detected among the isolates studied with the SSR markers, assuming two different models of SSR evolution (infinite alleles model and stepwise mutation model). The newly developed set of SSR markers proved their effectiveness in detecting genetic variation and should be useful in further population genetics investigations of the two pathogens.

Genetic Diversity and Population Structure of Cannabis Based on the Genome-Wide Development of Simple Sequence Repeat Markers.

Cannabis has been used as a source of nutrition, medicine, and fiber. However, lack of genomic simple sequence repeat (SSR) markers had limited the genetic research on Cannabis species. In the present study, 92,409 motifs were identified, and 63,707 complementary SSR primer pairs were developed. The most abundant SSR motifs had six repeat units (36.60%). The most abundant type of motif was dinucleotides (70.90%), followed by trinucleotides, tetranucleotides, and pentanucleotides. We randomly selected 80 pairs of genomic SSR markers, of which 69 (86.25%) were amplified successfully; 59 (73.75%) of these were polymorphic. Genetic diversity and population structure were estimated using the 59 (72 loci) validated polymorphic SSRs and three phenotypic markers. Three hundred ten alleles were identified, and the major allele frequency ranged from 0.26 to 0.85 (average: 0.56), Nei’s genetic diversity ranged from 0.28 to 0.82 (average: 0.56), and the expected heterozygosity ranged from 0.28 to 0.81 (average: 0.56). The polymorphism information content ranged from 0.25 to 0.79 (average: 0.50), the observed number of alleles ranged from 2 to 8 (average: 4.13), and the effective number of alleles ranged from 0.28 to 0.81 (average: 0.5). The Cannabis population did not show mutation-drift equilibrium following analysis via the infinite allele model. A cluster analysis was performed using the unweighted pair group method using arithmetic means based on genetic distances. Population structure analysis was used to divide the germplasms into two subgroups. These results provide guidance for the molecular breeding and further investigation of Cannabis.

Together stronger: Intracolonial genetic variability occurrence in Pocillopora corals suggests potential benefits.

We investigated the occurrence of intracolonial genetic variability (IGV) in Pocillopora corals in the southwestern Indian Ocean. Ninety‐six colonies were threefold‐sampled from three sites in Reunion Island. Nubbins were genotyped using 13 microsatellite loci, and their multilocus genotypes compared. Over 50% of the colonies presented at least two different genotypes among their three nubbins, and IGV was found abundant in all sites (from 36.7% to 58.1%). To define the threshold distinguishing mosaicism from chimerism, we developed a new method based on different evolution models by computing the number of different alleles for the infinite allele model (IAM) and the Bruvo's distance for the stepwise mutation model (SMM). Colonies were considered as chimeras if their nubbins differed from more than four alleles and if the pairwise Bruvo's distance was higher than 0.12. Thus 80% of the IGV colonies were mosaics and 20% chimeras (representing almost 10% of the total sampling). IGV seems widespread in scleractinians and beyond the disabilities of this phenomenon reported in several studies, it should also bring benefits. Next steps are to identify these benefits and to understand processes leading to IGV, as well as factors influencing them.

Dynamics of Plasmodium vivax populations in border areas of the Greater Mekong sub-region during malaria elimination

BackgroundCountries within the Greater Mekong Sub-region (GMS) of Southeast Asia have committed to eliminating malaria by 2030. Although the malaria situation has greatly improved, malaria transmission remains at international border regions. In some areas, Plasmodium vivax has become the predominant parasite. To gain a better understanding of transmission dynamics, knowledge on the changes of P. vivax populations after the scale-up of control interventions will guide more effective targeted control efforts.MethodsThis study investigated genetic diversity and population structures in 206 P. vivax clinical samples collected at two time points in two international border areas: the China-Myanmar border (CMB) (n = 50 in 2004 and n = 52 in 2016) and Thailand-Myanmar border (TMB) (n = 50 in 2012 and n = 54 in 2015). Parasites were genotyped using 10 microsatellite markers.ResultsDespite intensified control efforts, genetic diversity remained high (HE = 0.66–0.86) and was not significantly different among the four populations (P > 0.05). Specifically, HE slightly decreased from 0.76 in 2004 to 0.66 in 2016 at the CMB and increased from 0.80 in 2012 to 0.86 in 2015 at the TMB. The proportions of polyclonal infections varied significantly among the four populations (P < 0.05), and showed substantial decreases from 48.0% in 2004 to 23.7 at the CMB and from 40.0% in 2012 to 30.7% in 2015 at the TMB, with corresponding decreases in the multiplicity of infection. Consistent with the continuous decline of malaria incidence in the GMS over time, there were also increases in multilocus linkage disequilibrium, suggesting more fragmented and increasingly inbred parasite populations. There were considerable genetic differentiation and sub-division among the four tested populations. Temporal genetic differentiation was observed at each site (FST = 0.081 at the CMB and FST = 0.133 at the TMB). Various degrees of clustering were evident between the older parasite samples collected in 2004 at the CMB and the 2016 CMB and 2012 TMB populations, suggesting some of these parasites had shared ancestry. In contrast, the 2015 TMB population was genetically distinctive, which may reflect a process of population replacement. Whereas the effective population size (Ne) at the CMB showed a decrease from 4979 in 2004 to 3052 in 2016 with the infinite allele model, the Ne at the TMB experienced an increase from 6289 to 10,259.ConclusionsWith enhanced control efforts on malaria, P. vivax at the TMB and CMB showed considerable spatial and temporal differentiation, but the presence of large P. vivax reservoirs still sustained genetic diversity and transmission. These findings provide new insights into P. vivax transmission dynamics and population structure in these border areas of the GMS. Coordinated and integrated control efforts on both sides of international borders are essential to reach the goal of regional malaria elimination.

Allele frequency spectra in structured populations: Novel-allele probabilities under the labelled coalescent

We address the effect of population structure on key properties of the Ewens sampling formula. We use our previously-introduced inductive method for determining exact allele frequency spectrum (AFS) probabilities under the infinite-allele model of mutation and population structure for samples of arbitrary size. Fundamental to the sampling distribution is the novel-allele probability, the probability that given the pattern of variation in the present sample, the next gene sampled belongs to an as-yet-unobserved allelic class. Unlike the case for panmictic populations, the novel-allele probability depends on the AFS of the present sample. We derive a recursion that directly provides the marginal novel-allele probability across AFSs, obviating the need first to determine the probability of each AFS. Our explorations suggest that the marginal novel-allele probability tends to be greater for initial samples comprising fewer alleles and for sampling configurations in which the next-observed gene derives from a deme different from that of the majority of the present sample. Comparison to the efficient importance sampling proposals developed by De Iorio and Griffiths and colleagues indicates that their approximation for the novel-allele probability generally agrees with the true marginal, although it may tend to overestimate the marginal in cases in which the novel-allele probability is high and migration rates are low.

Validation of Y-ancestor time calculators for forensic familial searching

When no suspects are identified in a forensic case as the donor of a biological trace, familial searching through the Y-chromosome can be used as an identification method to find paternally related males of the perpetrator. When a close Y-haplotype match is identified, the time to their most recent common ancestor (tMRCA) can be estimated to reconstruct their genealogy. To date, three online tMRCA calculators (McDonald, Walker and McGee) exist based on the infinite alleles model (IAM), but were not yet validated. In this study, the calculators were investigated using our genetic-genealogy database containing 1126 genealogical pairs with known tMRCA, in which 42 Y-STR markers were analyzed. We observed that the McGee calculator is very discordant with our dataset, while the others give quite similar results. Overall, the tMRCAs from our genealogical pairs are located within the 95% CI, but are slightly underestimated for pairs with a close Y-haplotype match, and overestimated when more Y-STR differences are present. Additionally, their large 95% CI are not appropriate for genealogy reconstruction for forensic purposes. To further improve tMRCA estimations, individual Y-STR mutation rates and allele calls should be included to take hidden Y-STR differences into account.

BOTTLENECK ANALYSIS OF ANATOLIAN BLACK CATTLE (BOS TAURUS) USING MICROSATELLITE MARKERS

The present study was conducted in order to reveal the genetic diversity andbottleneck in Anatolian Black Cattle (Bos Taurus). Animal material of the studyconsisted of 75 cattle raised in International Center for Livestock Research andTraining. The bottleneck in the cattle breed studied was checked with 10microsatellites markers, amplified in a multiplex polymerase chain reaction (PCR)were used according to recommendation of FAO (2011). A total of 116 alleles wasobserved from microsatellites studied. Overall value belongs to average number ofalleles (Na), effective number of alleles (Ne), observed heterozygosity (Ho),expected heterozygosity (He), the polymorphic information content (PIC), averageheterozygosity (Ĥ), and FIS, known as the inbreeding coefficient, were 11.60, 5.35,0.80, 0.78, 0.80 and 0.012, respectively. All microsatellite markers except INRA23and ETH3 deviated from Hardy Weinberg equilibrium (HWE). Bottleneck wasanalyzed with Bottleneck software according to three different mutation modelsincluding the infinite allele model (IAM), two-phase mutation model (TPM) andstepwise mutation model (SMM). It can be said that there is not any ultimate risk interms of bottleneck considering L–shaped curve showing normal distributionobtained from the analysis.

Estimating Y-Str Mutation Rates and Tmrca Through Deep-Rooting Italian Pedigrees

In the population genomics era, the study of Y-chromosome variability is still of the greatest interest for several fields ranging from molecular anthropology to forensics and genetic genealogy. In particular, mutation rates of Y-chromosomal Short Tandem Repeats markers (Y-STRs) are key parameters for different interdisciplinary applications. Among them, testing the patrilineal relatedness between individuals and calculating their Time of Most Recent Common Ancestors (TMRCAs) are of the utmost importance. To provide new valuable estimates and to address these issues, we typed 47 Y-STRs (comprising Yfiler, PowerPlex23 and YfilerPlus loci, the recently defined Rapidly Mutating [RM] panel and 11 additional markers often used in genetic genealogical applications) in 135 individuals belonging to 66 deep-rooting paternal genealogies from Northern Italy. Our results confirmed that the genealogy approach is an effective way to obtain reliable Y-STR mutation rate estimates even with a limited number of samples. Moreover, they showed that the impact of multi-step mutations and backmutations is negligible within the temporal scale usually adopted by forensic and genetic genealogy analyses. We then detected a significant association between the number of mutations within genealogies and observed TMRCAs. Therefore, we compared observed and expected TMRCAs by implementing a Bayesian procedure originally designed by Walsh (2001) and showed that the method yields a good performance (up to 96.72%), especially when using the Infinite Alleles Model (IAM).

Dissimilarity of individual microsatellite profiles under different mutation models: Empirical approach.

Microsatellites (simple sequence repeats, SSRs) still remain popular molecular markers for studying neutral genetic variation. Two alternative models outline how new microsatellite alleles evolve. Infinite alleles model (IAM) assumes that all possible alleles are equally likely to result from a mutation, while stepwise mutation model (SMM) describes microsatellite evolution as stepwise adding or subtracting single repeat units. Genetic relationships between individuals can be analyzed in higher precision when assuming the SMM scenario with allele size differences as a proxy of genetic distance. If population structure is not predetermined in advance, an empirical data analysis usually includes (a) estimating proximity between individual SSR profiles with a selected dissimilarity measure and (b) determining putative genetic structure of a given set of individuals using methods of clustering and/or ordination for the obtained dissimilarity matrix. We developed new dissimilarity indices between SSR profiles of haploid, diploid, or polyploid organisms assuming different mutation models and compared the performance of these indices for determining genetic structure with population data and with simulations. More specifically, we compared SMM with a constant or variable mutation rate at different SSR loci to IAM using data from natural populations of a freshwater bryozoan Cristatella mucedo (diploid), wheat leaf rust Puccinia triticina (dikaryon), and wheat powdery mildew Blumeria graminis (monokaryon). We show that inferences about population genetic structure are sensitive to the assumed mutation model. With simulations, we found that Bruvo's distance performs generally poorly, while the new metrics are capturing the differences in the genetic structure of the populations.

Genetic diversity of migratory fish populations of the Rio Grande Reservoir (São Paulo, Brazil)

In recent years, anthropogenic factors such as pollution, overfishing, and construction of hydroelectric plants have significantly impacted natural fish populations. Research focusing on genetically evaluation of these impacts is necessary to objectively target conservation programs. The aim of this study was to evaluate the genetic diversity of Curimba (Prochilodus lineatus), Pacu (Piaractus mesopotamicus), and Piracanjuba (Brycon orbignyanus) populations from the Água Vermelha Reservoir, Rio Grande-SP. Microsatellite loci were amplified, producing 56, 24, and 26 alleles for the populations of the three species, respectively. The number of alleles per locus ranged from three to ten for P. lineatus, two to five for P. mesopotamicus, and two to four for B. orbignyanus. The observed heterozygosity (Ho) was higher in the P. lineatus population (0.547), relative to the P. mesopotamicus and B. orbignyanus populations (0.473 and 0.527, respectively). The mean values of Ho were lower than the average expected heterozygosity (He) in the three species, being corroborated by the positive inbreeding coefficient (Fis). Deviations from the Hardy-Weinberg equilibrium (HWE) were found in five, three, and two loci for P. lineatus, P. mesopotamicus, and B. orbignyanus, respectively. Wilcoxon tests revealed recent bottlenecks in the three species, evidenced by a significant excess of heterozygotes (p &lt; 0.05) detected only in the Infinite Allele Model (IAM). In conclusion, adequate genetic variability was observed in the three populations with the presence of heterozygous deficits.

Inductive determination of allele frequency spectrum probabilities in structured populations

We present a method for inductively determining exact allele frequency spectrum (AFS) probabilities for samples derived from a population comprising two demes under the infinite-allele model of mutation. This method builds on a labeled coalescent argument to extend the Ewens sampling formula (ESF) to structured populations. A key departure from the panmictic case is that the AFS conditioned on the number of alleles in the sample is no longer independent of the scaled mutation rate (θ). In particular, biallelic site frequency spectra, widely-used in explorations of genome-wide patterns of variation, depend on the mutation rate in structured populations. Variation in the rate of substitution across loci and through time may contribute to apparent distortions of site frequency spectra exhibited by samples derived from structured populations.

Genetic diversity of long-established populations of Elaeis guineensis jacquin (Arecaceae)

Abstract This study aimed to estimate the genetic diversity of three Elaeis guineensis populations in Rio Grande do Norte state, as well as to verify the decreases in effective population size. The population with the highest polymorphism was MAT (Mata) with+ 57 loci (72%), followed by RIA (Riacho) with 54 loci (68%) and HOR (Horta) with 34 loci (43.03%). The RIA population was shown to be the most genetically diverse, with Nei (h = 0.28) and Shannon (I = 0.41) diversity indices. There was high genetic differentiation among populations (AMOVA, analysis of molecular variance = 42%), which was separated into three distinct genetic groups according to a Bayesian analysis. There was a significant population decrease (P &lt; 0.05) for the HOR population in the IAM (infinite allele model) and SMM (stepwise mutation model), and for the RIA population in the IAM. The data obtained in this study may support ex-situ conservation projects for Elaeis guineensis, contributing to the selection of genotypes and their sustainable use.