Bayesian identification of admixture events using multilocus molecular markers

Bayesian statistical methods for the estimation of hidden genetic structure of populations have gained considerable popularity in the recent years. Utilizing molecular marker data, Bayesian mixture models attempt to identify a hidden population structure by clustering individuals into genetically divergent groups, whereas admixture models target at separating the ancestral sources of the alleles observed in different individuals. We discuss the difficulties involved in the simultaneous estimation of the number of ancestral populations and the levels of admixture in studied individuals' genomes. To resolve this issue, we introduce a computationally efficient method for the identification of admixture events in the population history. Our approach is illustrated by analyses of several challenging real and simulated data sets. The software (baps), implementing the methods introduced here, is freely available at http://www.rni.helsinki.fi/~jic/bapspage.html.     

Molecules are more than markers: new directions in molecular microbial ecology

Macromolecules such as DNA, RNA, and proteins are widely used to quantify diversity in natural communities, to monitor the dispersal of organisms and their genes, and to trace phylogenetic relationships among organisms. With such widespread use of molecules as markers, it is easy to forget that they perform functions that are integral to the survival of organisms. The structural and functional properties of macromolecules have been intensively studied in genetics, biochemistry, and physiology. These fields, however, have not generally focused on the ecological significance of molecular variation, but instead have used defective variants as tools for identifying structure and function. Understanding the significance of molecular variation for organismal success or failure is a central problem in ecology, one whose solution will require the integration of diverse approaches and perspectives from ecology, molecular biology, genetics, physiology, and evolutionary biology. I review several studies of bacterial populations evolving in simple environments that have begun to integrate these approaches and perspectives in order to examine the consequences of molecular variation for ecological performance.     

分子标记技术在蚕学研究中的应用

介绍了近年来DNA分子标记技术在绢丝昆虫的进化及亲缘关系分析、家蚕品种真实性鉴定、家蚕分子连锁图的构建、基因标记和定位等方面应用的重要进展 ,并展望了家蚕分子标记辅助育种的前景     

Functional molecular markers for crop improvement

A tremendous decline in cultivable land and resources and a huge increase in food demand calls for immediate attention to crop improvement. Though molecular plant breeding serves as a viable solution and is considered as “foundation for twenty-first century crop improvement”, a major stumbling block for crop improvement is the availability of a limited functional gene pool for cereal crops. Advancement in the next generation sequencing (NGS) technologies integrated with tools like metabolomics, proteomics and association mapping studies have facilitated the identification of candidate genes, their allelic variants and opened new avenues to accelerate crop improvement through development and use of functional molecular markers (FMMs). The FMMs are developed from the sequence polymorphisms present within functional gene(s) which are associated with phenotypic trait variations. Since FMMs obviate the problems associated with random DNA markers, these are considered as “the holy grail” of plant breeders who employ targeted marker assisted selections (MAS) for crop improvement. This review article attempts to consider the current resources and novel methods such as metabolomics, proteomics and association studies for the identification of candidate genes and their validation through virus-induced gene silencing (VIGS) for the development of FMMs. A number of examples where the FMMs have been developed and used for the improvement of cereal crops for agronomic, food quality, disease resistance and abiotic stress tolerance traits have been considered.     

A new method to estimate relatedness from molecular markers

Four major problems can affect the efficiency of methods developed to estimate relatedness between individuals from information of molecular markers: (i) some of them are dependent on the knowledge of the true allelic frequencies in the base population; (ii) they assume that all loci are unlinked and in Hardy-Weinberg and linkage equilibrium; (iii) pairwise methods can lead to incongruous assignations because they take into account only two individuals at a time; (iv) most are usually constructed for particular structured populations (only consider a few relationship classes, e.g. full-sibs vs. unrelated). We have developed a new approach to estimate relatedness that is free from the above limitations. The method uses a 'blind search algorithm' (actually simulated annealing) to find the genealogy that yield a co-ancestry matrix with the highest correlation with the molecular co-ancestry matrix calculated using the markers. Thus (i and ii) it makes no direct assumptions about allelic frequencies or Hardy-Weinberg and linkage equilibrium; (iii) it always provide congruent relationships, as it considers all individuals at a time; (iv) degrees of relatedness can be as complex as desired just increasing the 'depth' (i.e. number of generations) of the proposed genealogies. Computer simulations have shown that the accuracy and robustness against genotyping errors of this new approach is comparable to that of other proposed methods in those particular situations they were developed for, but it is more flexible and can cope with more complex situations.     

The effectiveness of using co-dominant polymorphic allelic series for (1) checking pedigrees and (2) distinguishing full-sib pair members

Formulae express the effectiveness of parentage exclusion tests and differences separating full-sib pairs by compounding genotypic information on discrete examples of co-dominant alleles segregating at gene loci on different autosomes. Such polymorphisms occur among structural genes and polymorphic DNA sequences. Two general formulae state the theoretical effectiveness of using co-dominant alleles for (1) testing parentage and (2) distinguishing sibs. The formula for parentage exclusion tates the probability (P_E) that a given series of co-dominant alleles of known frequency should detect a falsely recorded father (or mother). The other formula describes how genetic polymorphism can distinguished closely related individuals. It states the probability (P_S) that alleles distinguish the members of full-sib pairs, dizygotic twins and tissue chimeras. To derive the two general formulae, particular formulae were calculated for n = 2,3 and 4 co-dominant alleles. By increasing the numbers of alleles, the formulae were seen to contain recurrent patterns which were then expressed in the two general formulae for n alleles. Some examples demonstrate applications of the two formulae in problems concerning parentage and sibship.     

Power of exclusion for parentage verification and probability of match for identity in American Kennel Club breeds using 17 canine microsatellite markers

DNA analysis of microsatellite markers has become a common tool for verifying parentage in breed registries and identifying individual animals that are linked to a database or owner. Panels of markers have been developed in canines, but their utility across and within a wide range of breeds has not been reported. The American Kennel Club (AKC) authorized a study to determine the power to exclude non-parents and identify individuals using DNA genotypes of 17 microsatellite markers in two panels. Cheek swab samples were voluntarily collected at Parent Breed Club National Specialty dog shows and 9561 samples representing 108 breeds were collected, averaging 88.5 dogs per breed. The primary panel of 10 markers exceeded 99% power of exclusion for canine parentage verification of 61% of the breeds. In combination with the secondary panel of seven markers, 100% of the tested breeds exceeded 99% power of exclusion. The minimum probability match rate of the first panel was 3.6 x 10(-5) averaged across breeds, and with the addition of the second panel, the probability match rate was 3.2 x 10(-8); thus the probability of another random, unrelated dog with the same genotype is very low. The results of this analysis indicated that, on average, the primary panel meets the AKC's needs for routine parentage testing, but that a combination of 10-15 genetic markers from the two panels could yield a universal canine panel with enhanced processing efficiency, reliability and informativeness.     

Using molecular markers to determine barleys most suitable for malt whisky distilling

Two barley quality characters of specific interest to whisky distillers are fermentability and production of the ethyl carbamate precursor, epi-heterodendrin. The former is a quantitative trait, while the latter may be determined by a single Mendelian genetic factor. Molecular markers have been used to map, to barley chromosome 5(1H), the locus responsible for epi-heterodendrin synthesis and the inheritance of this character and a closely linked microsatellite have been followed through the pedigrees of several contemporary cultivars. Six loci, which affected fermentability in random inbred lines from a barley cross, have been mapped to chromosomes 2(2H), 3(3H) and 7(5H). This would permit the use of molecular markers in a breeding programme, to select barleys best suited for distilling. In addition, one of the loci related to fermentability mapped to an area of the genome indicated, by a previous study, to affect the activity of β-amylase, a character likely to influence fermentability. Molecular markers may, therefore, be powerful tools in exploring the contribution and detecting the mode of action of the genetical components influencing malt whisky distilling. This revised version was published online in June 2006 with corrections to the Cover Date.     

Parentage testing in alpacas (Vicugna pacos) using semi-automated fluorescent multiplex PCRs with 10 microsatellite markers

The aim of this study was to assess and apply a microsatellite multiplex system for parentage determination in alpacas. An approach for parentage testing based on 10 microsatellites was evaluated in a population of 329 unrelated alpacas from different geographical zones in Perú. All microsatellite markers, which amplified in two multiplex reactions, were highly polymorphic with a mean of 14.5 alleles per locus (six to 28 alleles per locus) and an average expected heterozygosity ( H _E) of 0.8185 (range of 0.698–0.946). The total parentage exclusion probability was 0.999456 for excluding a candidate parent from parentage of an arbitrary offspring, given only the genotype of the offspring, and 0.999991 for excluding a candidate parent from parentage of an arbitrary offspring, given the genotype of the offspring and the other parent. In a case test of parentage assignment, the microsatellite panel assigned 38 (from 45 cases) offspring parentage to 10 sires with LOD scores ranging from 2.19 × 10⁺¹³ to 1.34 × 10⁺¹⁵ and Δ values ranging from 2.80 × 10⁺¹² to 1.34 × 10⁺¹⁵ with an estimated pedigree error rate of 15.5%. The performance of this multiplex panel of markers suggests that it will be useful in parentage testing of alpacas.     

Implementation of a parentage control system in Portuguese beef-cattle with a panel of microsatellite markers

A study was conducted to assess the feasibility of applying a panel of 10 microsatellite markers in parentage control of beef cattle in Portugal. In the first stage, DNA samples were collected from 475 randomly selected animals of the Charolais, Limousin and Preta breeds. Across breeds and genetic markers, means for average number of alleles, effective number of alleles, expected heterozygosity and polymorphic information content, were 8.20, 4.43, 0.733 and 0.70, respectively. Enlightenment from the various markers differed among breeds, but the set of 10 markers resulted in a combined probability above 0.9995 in the ability to exclude a random putative parent. The marker-set thus developed was later used for parentage control in a group of 140 calves from several breeds, where there was the suspicion of possible faulty parentage recording. Overall, 76.4% of the calves in this group were compatible with the recorded parents, with most incompatibilities due to misidentification of the dam. Efforts must be made to improve the quality of pedigree information, with particular emphasis on information recorded at the calf's birth.     

Analysis of arthropod bloodmeals using molecular genetic markers

Little is known about the transmission dynamics of human malaria and other vector-borne diseases, partly because of the limited availability and distribution of appropriate tools for quantifying human-mosquito contact rates. Recent developments in molecular biology have allowed a significant increase in the efficacy and reliability of bloodmeal identification, and DNA-based molecular markers are now being harnessed for typing arthropod bloodmeals. The extent to which these markers have been used for analysis of mosquito bloodmeals and the potential they might have for the future is discussed, and the contributions that the advent of PCR has made are examined here.     

Immunoquantification of flavodoxin and ferredoxin from Scenedesmus vacuolatus (Chlorophyta) as iron-stress molecular markers

Quantification of the iron nutritional status of phytoplankton is of great interest not only for the study of the oceans but also for fresh waters. Flavodoxin is a small flavoprotein proposed as a molecular marker for iron stress, since it is induced as a consequence of iron deprivation, replacing the iron-sulphur protein ferredoxin. Flavodoxin and ferredoxin from Scenedesmus vacuolatus have been immunoquantified in cells grown under different iron nutritional conditions. Flavodoxin and ferredoxin levels correlate with the iron availability, and the calculated flavodoxin index can be used as an iron-stress marker. Other physiological parameters such as copper deficiency, heterotrophic or mixotrophic growth, nitrogen source and salt stress were also tested as potential factors influencing flavodoxin expression. Salt stress and heterotrophic growth conditions alter flavodoxin and ferredoxin expression. Once flavodoxin expression is repressed by iron (and severe deficiency alleviated), S.vacuolatus still increases its ferredoxin from 0·5 to 1·6 mol of ferredoxin per mole of ferredoxin-NADP⁺ reductase, and this ratio can be used for the evaluation of mild deficiency.     

Repetitive flanking sequences (ReFS): novel molecular markers from microsatellite families

Although microsatellite markers have become exceedingly popular in molecular studies of wild organisms, their development in some taxonomic groups is challenging. This is partly because of repetitive flanking sequences, which lead to the simultaneous amplification of alleles from multiple loci. Until now, these microsatellite DNA families have been considered unsuitable for population genetics studies, but here we describe our development of these repetitive flanking sequences (ReFS) as novel molecular markers. We illustrate the utility of these markers by using them to address an outstanding taxonomic question in the moth genus Schrankia.     

Polymorphic molecular markers from anonymous nuclear DNA for genetic analysis of populations

A simple method is presented for developing polymorphic, anonymous DNA markers suitable for population genetic studies. Anonymous DNA fragments are screened for sequence variability using a common mutation detection technique (single strand conformation polymorphism analysis; SSCP) and locus-specific PCR primers are designed for polymorphic DNA fragments. Detection of the markers by SSCP analysis coupled with sequence analysis of SSCP variants allows rapid screening while retaining information about the genealogical relationship among alleles. Variability detected for six markers was assessed in rainbow trout Oncorhynchus mykiss and was compared with variability detected by similar analysis of intron loci. Between three and 12 distinct alleles were observed at each marker locus, and average within-population heterozygosity ranged from 0.12 to 0.44. Advantages and limitations of the methodology for population genetic analysis are discussed.     

Molecular characterisation of Trichoderma species using SRAP markers

Trichoderma are commonly used as bio control agents in various agro ecosystems. They are known to produce a variety of compounds that induce resistance responses in plants. Among different species of Trichoderma, T. harzianum, T. viride, T. koningii and T. hamatum are commercially used as bio control agents. In the present study, four commercially important species of Trichoderma isolated from coffee ecosystem were screened with sequence related amplified polymorphism (SRAP) markers. Among 48 SRAP primer pairs tested, 29 primers were polymorphic and generated 316 distinct scorable fragments. Out of 347 amplified fragments, 177 fragments were found polymorphic with an average of 6.10 fragments per primer combination. The average polymorphism information content (PIC) and resolving power (Rp) of the 29 polymorphic SRAP primer pair were 0.42 and 14.62, respectively. The UPGMA dendrogram clearly divided Trichoderma species into two broad clusters. The highest homology (83.0%) was observed between T. viride and T. Harzianum and the lowest homology (74.0%) was observed between T. Harzianum and T. konangii. Further, among 29 polymorphic SRAP markers screened, four primer pairs (ME1-EM3, ME1-EM20, ME1-EM22 and ME2-EM4) produced unique fragments specific to each species. These markers can be useful in easy and rapid identification of the species.     

Character compatibility of molecular markers to distinguish asexual and sexual reproduction

Particularly in polyploids, the potential of the high variability of dominant markers such as random amplified polymorphic DNA fragments (RAPDs) and amplified fragment length polymorphisms (AFLPs) in population genetic studies and analysis of breeding systems is reduced due to their dominant nature. In contrast, the criterion of character compatibility is hindered neither by dominance nor by polyploidy as allelic interpretation is not necessary. Character compatibility, which can be used to detect events of genetic exchange (or recombination), is particularly informative if these events are expected to be rare such as in taxa with extensive vegetative reproduction or apomixis. Binary unordered characters such as presence and absence of anonymous DNA markers are incompatible if all four pairwise combinations of character states are present among the individuals studied. Because incompatible character state distributions defy any progenitor–derivative relationship among individuals, they provide strong evidence for genetic exchange. Both the absolute number of incompatible character combinations and the probability of compatibility can be used as a measure of incompatibility. Although these measures may not directly relate to the frequency of genetic exchange, they provide a useful tool to heuristically explore data sets. The most commonly used input for multivariate analyses and analysis of molecular variance in population genetic studies of (dis)similarity of marker distributions are amalgamates of mutation and recombination. Character compatibility can be used to complement these traditional methods of analysis. Advantages and disadvantages of character incompatibility relative to multilocus analysis of modes of reproduction and population genetics are demonstrated with data from RAPDs, isozymes, and restriction fragment length polymorphisms (RFLPs) of the nuclear ribosomal and chloroplast genome.     

Probability of random sire exclusion using microsatellite markers for parentage verification

Many microsatellite sequences have been described in the bovine genome. Being highly polymorphic these have been suggested as markers for parentage verification and individual identification in cattle. We have evaluated the use of five highly polymorphic microsatellite markers for parentage verification in 14 breeds of cattle in the UK. Three of the microsatellite loci occur within introns in genes: BoLA DRB3 , steroid 21-hydroxylase, and the beta subunit of the follicle-stimulating hormone. The other two are anonymous sites ETH131 and HEL6. Results were analysed by a statistical approach that takes in to account deviations from Hardy-Wienberg equilibrium and linkage disequilibrium for multiple loci. The method of determining the probability of random sire exclusion uses observed genotype frequencies instead of allele frequencies. Independently, the markers used have a probability of between 0.72 and 0.62 of identifying a parentage error, while used together the five markers give, on average across breeds, a probability of 0.99 of excluding an incorrect sire.     

Microsatellite primed-PCR to select molecular markers for Tuber species

The direct microsatellite-primed PCR and the RAMPO techniques were applied to detect inter-specific polymorphisms in Tuber species and to select species specific fragments. A T. borchii marker was identified and specific primers were selected.     

Soybean pedigree analysis using map-based molecular markers: recombination during cultivar development

An analysis of the genome structure of soybean cultivars was conducted to determine if cultivars are composed of large regions of chromosomes inherited intact from one parent (indicative of minimal recombination) or if the chromosomes are a mixture of one parent's DNA interspersed with the DNA from the other parent (indicative of maximal recombination). Twenty-one single-cross-derived and 5 single-backcross-derived soybean cultivars and their immediate parents (47 genotypes) were analyzed at 89 RFLP loci to determine the minimal number and distribution of recombination events detected. Cultivars derived from single-cross and single-backcross breeding programs showed an average of 5.2 and 8.0 recombination events per cultivar, respectively. A homogeneity Chi-square test based upon a Poisson distribution of recombination events across 13 linkage groups indicated that the number of recombinations observed among linkage groups was random for the single-cross cultivars, but not for the single-backcross-derived cultivars. A twotailed t-test demonstrated that for some linkage groups, the number of recombinations per map unit exceeded the confidence interval developed from a t-distribution of recombinations standardized for map unit distance. Paired t-tests of the number of recombinations observed between linkage-group ends and the mid-portion of the linkage groups indicated that during the development of the cultivars analyzed in this study more recombinations were associated with the ends of linkage groups than with the middle region. Detailed analysis of each linkage group revealed that large portions of linkage groups D, F, and G were inherited intact from one parent in several cultivars. A portion of linkage group G, in contrast, showed more recombination events than expected, based on genetic distance. These analyses suggest that breeders may have selected against recombination events where agronomically favorable combinations of alleles are present in one parent, and for recombination in areas where agronomically favorable combinations of alleles are not present in either parent.Names are necessary to report factually on the available data; however, the USDA neither guarantees nor warrants the standard of the product, and the use of the name by the USDA implies no approval of the product to the exclusion of others that may also be available. Contribution of the Midwest Area, USDA-ARS, Project No. 3236 of the Iowa Agriculture and Home Economics Experiment Station, Ames, IA 50011. Journal Paper No. J-16533