Comparative genetic diversity of parasites and their hosts: population structure of an urban cockroach and its haplo-diploid parasite (oxyuroid nematode)

Few studies have investigated the genetic structure of both host and parasite populations at a level of populations and at a level of individuals. We investigated the genetic structure of the urban cockroach Blattella germanica and its oxyuroid parasite Blatticola blattae. Random amplified polymorphic DNA (RAPD) markers were used to quantify genetic diversity between and within four populations (from two cities in France) of the host and its parasite. Diversity based on phenotypic frequencies was calculated for each RAPD marker using Shannon-Wiener's index. We used multivariate analyses to test the significance of genetic differentiation between host and parasite populations. Analysis of molecular variance was also used. Both methods gave similar results. Diversity between pairs of individuals was estimated by Nei & Li's index. Genetic diversity was higher within host or parasite populations (80% and 82%, respectively, of explained diversity) than between host or parasite populations (20% and 18%, respectively, explained diversity). The genetic distances between pairs of parasite populations (or individuals) were not correlated with the genetic distances between the corresponding pairs of host populations (or individuals).     

基于RAPD的群体标记法分析苜蓿种质遗传多样性

苜蓿种质资源的分子遗传多样性分析对于种质资源保存和育种利用具有重要指导意义。本研究选用群体标记法对来自甘肃省的16个苜蓿品种的DNA进行RAPD扩增,旨在研究其遗传多样性,并在此基础上筛选品种特异性引物用于进一步的品种鉴定。依据16个苜蓿品种间的Roger’s遗传距离进行UPGMA聚类分析结果显示,品种间亲缘关系与其选育背景紧密相关,供试的16个品种被划为4个类群,其中,匍匐型品种Jindera与其他直立型品种差异显著,自成1个类群,引进品种和甘肃省内具有国外种质来源的育成品种被划为同1类群,而甘肃地方品种聚为2个类群。10个RAPD引物中有4个引物OPE4、OPE5、OPE6和OPE7分别检测到5个品种甘农3号、甘杂27、Jindera、陇东和Algonuin的特异性条带,可进一步用于开发设计特异性引物进行品种鉴定工作。以上结果进一步证实,利用RAPD标记研究苜蓿系谱发育关系和选择杂交亲本应采用群体标记法。     

Identification of QTL for resistance and susceptibility to <Emphasis Type="Italic">Stagonospora meliloti</Emphasis> in autotetraploid lucerne

In eastern Australia and California, USA, one of the major lethal fungal diseases of lucerne (Medicago sativa) is Stagonospora root and crown rot, caused by Stagonospora meliloti. Quantitative trait loci (QTL) involved in resistance and susceptibility to S. meliloti were identified in an autotetraploid lucerne backcross population of 145 individuals. Using regression analysis and interval mapping, we detected one region each on linkage groups 2, 6 and 7 that were consistently associated with disease reaction to S. meliloti in two separate experiments. The largest QTL on linkage group 7, which is associated with resistance to S. meliloti, contributed up to 17% of the phenotypic variation. The QTL located on linkage group 2, which is potentially a resistance allele in repulsion to the markers for susceptibility to S. meliloti, contributed up to 8% of the phenotypic variation. The QTL located on linkage group 6, which is associated with susceptibility to S. meliloti, contributed up to 16% of the phenotypic variation. A further two unlinked markers contributed 5 and 8% of the phenotypic variation, and were detected in only one experiment. A total of 517 simple sequence repeat (SSR) markers from Medicago truncatula were screened on the parents of the mapping population. Only 27 (6%) SSR markers were polymorphic and could be incorporated into the autotetraploid map of M. sativa. This allowed alignment of our M. sativa linkage map with published M. truncatula maps. The markers linked to the QTL we have reported will be useful for marker assisted selection for partial resistance to S. meliloti in lucerne.     

Evaluation of genetic distances between pepper inbred lines for cultivar protection purposes: comparison of AFLP, RAPD and phenotypic data

Summary  We evaluated concordance of AFLP and RAPD markers for estimating genetic distances of 47 pepper inbred lines belonging to five varietal types. It enabled us to see the efficiency of these markers for identification, estimation of distances between varieties and variety discrimination. Genetic distance and multidimensional scaling results showed a general agreement between AFLP and RAPD markers. Based on pattern scores, dendrograms were produced by the UPGMA method. Phenetic trees based on molecular data were consistent with the classification of variety group. The precision of the estimation of the genetic distance was given. The molecular genetic distances were correlated with distances based on a set of discriminating agronomic traits measured for identification and distinctiveness tests. The relationship between molecular and morphological distances appeared to be triangular. These results and their implications in the cultivar protection purposes of pepper hybrids are discussed. Received: 25 March 2000 / Accepted: 11 July 2000     

Population differentiation in randomly amplified polymorphic DNA of red-cockaded woodpeckers Picoides borealis

Random amplified polymorphic DNA (RAPD) phenotypes generated by 13 primers were scored for 101 individuals in 14 populations of the endangered red-cockaded woodpecker Picoides borealis. Although no population-specific markers were found, the frequencies of several markers differed significantly among populations. Application of the recently developedamova method (analysis of molecular variance; Excoffier, Smouse & Quattro 1992) showed that more than 90% of phenotypic variance occurred among individuals within populations; of the remaining variance, half was attributed among groups of geographically adjacent populations and half among populations within those groups. The statistical significance of these patterns was supported by Monte Carlo sampling simulations and permutation tests. Estimation of allele frequencies from phenotypes provided somewhat weaker evidence for population structure, although among-population variance in allele frequencies was detectable (F_st= 0.19; x²₁₆₉= 509.3, P < 0.0001). Upgma cluster analyses based on Rogers' (1972) genetic distance revealed grouping of some geographically proximate populations. A Mantel test indicated a positive (r = 0.16), although not significant, correlation between geographic and genetic distances. We compared a subset of our RAPD data with data from a previous study that used allozymes (Stangel, Lennartz & Smith 1992). RAPD (n= 75) and allozyme (n= 245) results based on samples from the same ten populations showed similar patterns. Our study indicates that RAPDs can be helpful in differentiating populations at the phenotypic level even when small sample sizes, estimation bias, and inability to test for Hardy-Weinberg equilibrium complicate the genotypic interpretation. Lack of large differences among populations of red-cockaded woodpeckers may allow flexibility in overpopulation translocations, provided factors such as habitat preference, latitudinal direction of translocation, and status of donor populations are considered.     

Patterns of phenotypic covariation and correlation in modern humans as viewed from morphological integration

Proportionality of phenotypic and genetic distance is of crucial importance to adequately focus on population history and structure, and it depends on the proportionality of genetic and phenotypic covariance. Constancy of phenotypic covariances is unlikely without constancy of genetic covariation if the latter is a substantial component of the former. If phenotypic patterns are found to be relatively stable, the most probable explanation is that genetic covariance matrices are also stable. Factors like morphological integration account for such stability. Morphological integration can be studied by analyzing the relationships among morphological traits. We present here a comparison of phenotypic correlation and covariance structure among worldwide human populations. Correlation and covariance matrices between 47 cranial traits were obtained for 28 populations, and compared with design matrices representing functional and developmental constraints. Among-population differences in patterns of correlation and covariation were tested for association with matrices of genetic distances (obtained after an examination of 10 Alu-insertions) and with Mahalanobis distances (computed after craniometrical traits). All matrix correlations were estimated by means of Mantel tests. Results indicate that correlation and covariance structure in our species is stable, and that among-group correlation/covariance similarity is not related to genetic or phenotypic distance. Conversely, genetic and morphological distance matrices were highly correlated. Correlation and covariation patterns were largely associated with functional and developmental factors, which probably account for the stability of covariance patterns.     

Identification of duplicates for the optimization of carrot collection management

Molecular markers have proved their efficiency for the identification of duplicate accessions in genetic resources collections. Partners of the GENRES Carrot project decided to evaluate the use of molecular markers for the identification of carrot accession duplicates. As a model analysis, 21 presumed duplicate accessions of Jaune du Doubs were selected. Only accessions that were not distinguished on a morphological basis were subjected to molecular analysis. The crucial question was to determine the threshold required to declare whether accessions were duplicates or not. We used a strategy based on the comparison between intravarietal and intervarietal genetic distances. DNA extractions were made on 4–8 bulks of five individuals per accession, and the bulks were analysed using 75 AFLP markers. An additional set of 7 bulks was extracted from one accession to provide true control replicates. With the exception of the true duplicates, all the accessions were clearly differentiated. Based on these results, a general strategy for the identification of carrot duplicates is proposed.     

Analysis and Optimization of Bulk DNA Sampling with Binary Scoring for Germplasm Characterization

The strategy of bulk DNA sampling has been a valuable method for studying large numbers of individuals through genetic markers. The application of this strategy for discrimination among germplasm sources was analyzed through information theory, considering the case of polymorphic alleles scored binarily for their presence or absence in DNA pools. We defined the informativeness of a set of marker loci in bulks as the mutual information between genotype and population identity, composed by two terms: diversity and noise. The first term is the entropy of bulk genotypes, whereas the noise term is measured through the conditional entropy of bulk genotypes given germplasm sources. Thus, optimizing marker information implies increasing diversity and reducing noise. Simple formulas were devised to estimate marker information per allele from a set of estimated allele frequencies across populations. As an example, they allowed optimization of bulk size for SSR genotyping in maize, from allele frequencies estimated in a sample of 56 maize populations. It was found that a sample of 30 plants from a random mating population is adequate for maize germplasm SSR characterization. We analyzed the use of divided bulks to overcome the allele dilution problem in DNA pools, and concluded that samples of 30 plants divided into three bulks of 10 plants are efficient to characterize maize germplasm sources through SSR with a good control of the dilution problem. We estimated the informativeness of 30 SSR loci from the estimated allele frequencies in maize populations, and found a wide variation of marker informativeness, which positively correlated with the number of alleles per locus.     

A comparative study of molecular and morphological methods of describing relationships between perennial ryegrass (Lolium perenne L.) varieties

A sample set of registered perennial ryegrass varieties was used to compare how morphological characterisation and AFLP^® (AFLP^® is a registered trademark of Keygene N.V.) and STS molecular markers described variety relationships. All the varieties were confirmed as morphologically distinct, and both the STS and AFLP markers exposed sufficient genetic diversity to differentiate these registered ryegrass varieties. Distances obtained by each of the approaches were compared, with special attention given to the coincidences and divergences between the methods. When correlations between morphological, AFLP and STS distances were calculated and the corresponding scatter-plots constructed, the variety relationships appeared to be rather inconsistent across the methods, especially between morphology and the molecular markers. However, some consistencies were found for closely related material. An implication could be that these molecular-marker techniques, while not yet suited to certain operations in the traditional registration of new varieties, could be suitable methods for investigating disputable distinctness situations or possible EDV (EDV= essentially derived variety. An EDV is a variety being clearly distinct from, but conforming in the expression of the essential characteristics of, an ’initial variety’ (IV) from which it is found to have been predominantly derived) relationships, subject to establishing standardised protocols and statistical techniques. Some suggestions for such a protocol, including a statistical test for distinctness, are given.     

Evaluation of Polymorphism at Microsatellite Loci of Spring Durum Wheat (Triticum durum Desf.) Varieties and the Use of SSR-Based Analysis in Phylogenetic Studies

Polymorphism at 28 SSR loci was analyzed and described in 45 cultivars of spring durum wheat created in the former USSR and Russia during the last 80 years. Each cultivar was shown to have a unique allele combination. This allows SSR markers to be used to identify durum wheat varieties. Meanwhile, these markers can hardly be used to detect phylogenetic relationships among varieties and to specify their pedigrees, because genetic distances calculated on the basis of these markers do not correlate with the distance calculated by coefficient of parentage.     

Evaluation of polymorphism at microsatellite loci of spring durum wheat (Triticum durum Desf.) varieties and the use of SSR-based analysis in phylogenetic studies

Polymorphism at 28 SSR loci was analyzed and described in 45 cultivars of spring durum wheat created in the former USSR and Russia during the last 80 years. Each cultivar was shown to have a unique allele combination. This allows SSR markers to be used to identify durum wheat varieties. Meanwhile, these markers can hardly be used to detect phylogenetic relationships among varieties and to specify their pedigrees, because genetic distances calculated on the basis of these markers do not correlate with the distance calculated by coefficient of parentage.     

Evaluation of the use of high-density SNP genotyping to implement UPOV Model 2 for DUS testing in barley

Developments in high-throughput genotyping provide an opportunity to explore the application of marker technology in distinctness, uniformity and stability (DUS) testing of new varieties. We have used a large set of molecular markers to assess the feasibility of a UPOV Model 2 approach: “Calibration of threshold levels for molecular characteristics against the minimum distance in traditional characteristics”. We have examined 431 winter and spring barley varieties, with data from UK DUS trials comprising 28 characteristics, together with genotype data from 3072 SNP markers. Inter varietal distances were calculated and we found higher correlations between molecular and morphological distances than have been previously reported. When varieties were grouped by kinship, phenotypic and genotypic distances of these groups correlated well. We estimated the minimum marker numbers required and showed there was a ceiling after which the correlations do not improve. To investigate the possibility of breaking through this ceiling, we attempted genomic prediction of phenotypes from genotypes and higher correlations were achieved. We tested distinctness decisions made using either morphological or genotypic distances and found poor correspondence between each method.     

AFLP based alternatives for the assessment of Distinctness, Uniformity and Stability of sugar beet varieties

Three approaches for addressing criteria for Distinctness, Uniformity and Stability (DUS) assessment by means of AFLP data are presented. AFLP data were obtained for three consecutive seed deliveries of 15 sugar beet varieties that were under investigation for the official Belgian list (’93, ’94 and ’95). In total, 696 AFLP markers were scored on 1350 plants. As a first approach, a cluster analysis based on Nei’s standard genetic distances between varieties and/or seed deliveries was made. Three major groups put together varieties belonging to corresponding breeding programmes. Statistical procedures, involving bootstrapping and random sampling of subsets of markers, were applied to test the reproducibility of the ordinations and the redundancy present in the data set. In a second approach, the genetic structure inferred by varieties and seed deliveries was submitted to an Analysis of Molecular Variance (AMOVA). Major genetic variation was attributed to individual plant differences within seed deliveries. Differences among seed deliveries seemed to be as important as differences among varieties or breeding programmes. Individual plant data were used for assignment tests. The computation of the assignment was based on the ranking of individual genotypes to one other (based on Jaccard similarity coefficients). The distribution over the accessions for each variety or seed delivery was used to check what group of plants each individual is genetically most similar to. Varieties were classified according to the degree to which the distribution over the different accessions was mainly allocated to their appropriate seed deliveries (from the same variety) or cross- allocated to other varieties. Criteria for DUS-evaluation could be set by each of the approaches; it is discussed in what way the result obtained differs and agrees. Received: 26 June 2000 / Accepted: 13 March 2001     

Identification of QTL for reaction to three races of <Emphasis Type="Italic">Colletotrichum trifolii</Emphasis> and further analysis of inheritance of resistance in autotetraploid lucerne

Anthracnose, caused by Colletotrichum trifolii, is one of the most serious diseases of lucerne worldwide. The disease is managed through deployment of resistant cultivars, but new pathotypes present a challenge to the successful implementation of this strategy. This paper reports the genetic map locations of quantitative trait loci (QTL) for reaction to races 1, 2 and 4 of C. trifolii in a single autotetraploid lucerne clone, designated W126 from the Australian cv. Trifecta. Resistance was mapped in a backcross population of 145 individuals, and reaction was assessed both by spray and injection inoculation of stems. Resistance to injection inoculation with races 1 and 4 was incompletely dominant and closely linked (phenotypic markers 2.2 cM apart); these resistances mapped to a linkage group homologous to Medicago truncatula linkage group 8. When the spray inoculation data were subjected to QTL analysis, the strongest QTL for resistance was located on linkage group 8; six QTL were identified for race 1 and four for race 4. Resistance to race 2 was incompletely recessive; four QTL were identified and these include one QTL on linkage group 4 that was also identified for race 1. Modelling of the interactions between individual QTL and marker effects allowed a total of 52–63% of the phenotypic variation to be described for each of the different races. These markers will have value in breeding lucerne, carrying multiple sources of resistance to the three known races of C. trifolii.     

Bulk segregant analysis with molecular markers and its use for improving drought resistance in maize

The usual method to locate and compare loci regulating quantitative traits (QTLs) requires a segregating population of plants with each one genotyped with molecular markers. However, plants from such segregating populations can also be grouped according to phenotypic expression of a trait and tested for differences in allele frequency between the population bulks: bulk segregant analysis (BSA). The same probes used for making a genetic map (e.g. isozyme, RFLP, RAPD, etc) can be used for BSA. A molecular marker showing polymorphism between the parents of the population and which is closely-linked to a major QTL regulating a particular trait will mainly co-segregate with that QTL, i.e. segregate according to the phenotype if the QTL has a large effect. Thus, if plants are grouped according to expression of the trait and extreme groups tested with that polymorphic marker, the frequency of the two marker alleles present within each of the two bulks should deviate significantly from the ratio of 1 : 1 expected for most populations. As chromosomal locations of many molecular markers have now been determined in many species, the map location of closely-linked QTLs can therefore be deduced without having to genotype every individual in segregating populations. This has been used successfully with composite populations of maize to locate QTLs associated with yield under severe drought. An inbred line derived from one of the populations selected for higher drought yield has been crossed with a drought-susceptible inbred line to produce a mapping population for QTL analysis of physiological and developmental traits likely to regulate yield under drought. Future work to identify traits having QTLs with flanking markers showing significant allele frequency differences in the GSA studies will indicate those traits likely to be important in determining yield under drought.Key words: Bulk segregant analysis (BSA), drought resistance, genetic maps, maize, molecular markers, Zea mays (L.).      

Population genetic structure of the lettuce root aphid,Pemphigus bursarius (L.), in relation to geographic distance,gene flow and host plant usage

Microsatellite markers were used to examine the population structure of Pemphigus bursarius, a cyclically parthenogenetic aphid. Substantial allele frequency differences were observed between populations on the primary host plant (collected shortly after sexual reproduction) separated by distances as low as 14 km. This suggested that migratory movements occur over relatively short distances in this species. However, the degree of allele frequency divergence between populations was not correlated with their geographical separation, indicating that isolation by distance was not the sole cause of spatial genetic structuring. Significant excesses of homozygotes were observed in several populations. Substantial allele frequency differences were also found between aphids on the primary host and those sampled from a secondary host plant after several parthenogenetic generations at the same location in two successive years. This could have been due to the existence of obligately parthenogenetic lineages living on the secondary host or genetically divergent populations confined to different secondary host plant species but sharing a common primary host.     

The development of multiplex simple sequence repeat (SSR) markers to complement distinctness,uniformity and stability testing of rape (Brassica napus L.) varieties

To assess the potential of multiplex SSR markers for testing distinctness, uniformity and stability of rape (Brassica napus L.) varieties, we developed three multiplex SSR sets composed of five markers each. These were used to measure the extent of diversity within and between a set of ten varieties using a fluorescence-based semi-automated detection technology. Also, we evaluated the significance of any correlation between SSRs, pedigree and five of the morphological characters currently used for statutory distinctness, uniformity and stability testing of rape varieties. An assignment test was allowed to identify 99% of the plants examined, with the correct variety based on the analysis of 48 individual plants for each variety. Principal coordinate analysis confirmed that a high degree of separation between varieties could be achieved. Varieties were separated in three groups corresponding to winter, spring and forage types. These results suggested that it should be possible to select a set of markers for obtaining a suitable separation. Diversity within varieties varied considerably, according to the variety and the locus examined. No significant correlation was found between SSR and morphological data. However, genetic distances measured by SSRs were correlated to pedigree. These results suggested that SSRs could be used for pre-screening or grouping of existing and candidate varieties, allowing the number of varieties that need to be grown for comparison to be reduced. Multiplex SSR sets gave high-throughput reproducible results, thus reducing the costs of SSR assessment. Multiplex SSR sets are a promising way forward for complementing the current variety testing system in B. napus.     

Enzyme and storage protein electrophoresis in varietal identification of sugar beet

Summary Different methods of classification, based on total protein patterns as well as on specific isoenzyme patterns, were compared in order to establish an identification system for sugar beet varieties and lines. Single seed patterns and bulk extractions of total and fractionated proteins were compared on SDS-PAGE. Due to important intra-populational variation contrasting with similarity at the varietal level no method proved to be sufficiently discriminatory. Twelve sugar beet lines have been genotypically fingerprinted on the basis of five allozyme systems. The allele frequencies of each variety have been measured by using 60–100 individuals. From the data, genetic distance coefficients have been calculated in order to group the different entries by cluster analysis. In addition, a comparison has been made between two seed lots independently obtained from the same parental lines, to test the stability over years. Seeds from the same parental lines, but produced in different localities (Denmark, Italia and USA), were compared to test the influence of the environment on the classification. It has been concluded that isozymes could provide a useful tool for cultivar distinction. The variability at the level of allele frequencies within localities was small. The stability of different generations of the strains was relatively constant. Different strains originating from the same seed firm were less distinct than strains originating from different seed firms.     

Assessment of Genetic Diversity in <Emphasis Type="Italic">Trigonella foenum-graecum</Emphasis> Based on Nuclear Ribosomal DNA,Internal Transcribed Spacer and RAPD Analysis

Fenugreek (Trigonella foenum-graecum) is receiving global attention due to rare medicinal properties of significance to human health. Gene banks possess scanty germplasm and very little background information regarding its genetic variability that has hampered its improvement. We investigated the extent of variability among 17 Indian varieties of fenugreek using phenotypic and genetic markers. Multilocus genotyping by ten random amplified polymorphic DNA (RAPD) primers detected an average of intraspecific variations amounting to 64.7% polymorphism in banding patterns. Analysis of molecular variance indicated that a greater proportion of total genetic variation exists within population (91%) rather than among populations. Higher values of Nei’s gene diversity (h) and Shannon Information Index (i) and genetic distance analysis validate higher genetic diversity among Indian fenugreek varieties. SNPs at 14 sites of rDNA region revealed further lineages of distinct varieties with main RAPD clusters. The representative sequences of each subgroup and all distinct varieties have been submitted to NCBI database and assigned Gen Accession numbers HM 176640–176649. The measures of relative genetic distances among varieties of fenugreek did not completely correlate with the geographical distances of places of their development. The homogeneous phenotypic markers proved insufficient in exhibiting genetic divergence among fenugreek varieties studied. Eventually, the knowledge of their genetic relationships, DNA bar coding and phylogenies might contribute for the designing of intraspecific crosses between cultivars of this fenugreek collection with potential interest in seed spices breeding programme.     

Two-sample tests for comparing intra-individual genetic sequence diversity between populations

Consider a study of two groups of individuals infected with a population of a genetically related heterogeneous mixture of viruses, and multiple viral sequences are sampled from each person. Based on estimates of genetic distances between pairs of aligned viral sequences within individuals, we develop four new tests to compare intra-individual genetic sequence diversity between the two groups. This problem is complicated by two levels of dependency in the data structure: (i) Within an individual, any pairwise distances that share a common sequence are positively correlated; and (ii) for any two pairings of individuals which share a person, the two differences in intra-individual distances between the paired individuals are positively correlated. The first proposed test is based on the difference in mean intra-individual pairwise distances pooled over all individuals in each group, standardized by a variance estimate that corrects for the correlation structure using U-statistic theory. The second procedure is a nonparametric rank-based analog of the first test, and the third test contrasts the set of subject-specific average intra-individual pairwise distances between the groups. These tests are very easy to use and solve correlation problem (i). The fourth procedure is based on a linear combination of all possible U-statistics calculated on independent, identically distributed sequence subdatasets, over the two levels (i) and (ii) of dependencies in the data, and is more complicated than the other tests but can be more powerful. Although the proposed methods are empirical and do not fully utilize knowledge from population genetics, the tests reflect biology through the evolutionary models used to derive the pairwise sequence distances. The new tests are evaluated theoretically and in a simulation study, and are applied to a dataset of 200 HIV sequences sampled from 21 children.