Biometric-genetic analysis of genotype dissimilarity in diallel crosses of spring wheat

A new biometric-genetic model and parameters described in [2] have been used for analysis of pair dissimilarity between spring wheat cultivars and F₁ hybrids obtained by diallel crossing. The dissimilarity between shape of the reactions of different genotypes estimated by a growth trait (plant height) served as a metric. The mode of inheritance of dissimilarity has been determined, and the cultivars that are the most dissimilar in allelic composition have been detected.     

Biometric-genetic analysis of genotype dissimilarity: the model and parameters

An additive-dominant model and parameters for biometric--genetic analysis of pair dissimilarity between genotypes have been developed. The analyzed dissimilarity metrics are presumed to be determined by the quantitative traits of plant lines and F1 hybrids obtained by diallel crossing. Relationships between dissimilarity parameters have been determined, and algorithms for estimating their use, in particular, for detecting the most heterozygous hybrids are suggested.     

Biometric-genetic analysis of genotype dissimilarity: The model and parameters

An additive-dominant model and parameters for biometric-genetic analysis of pair dissimilarity between genotypes have been developed. The analyzed dissimilarity metrics are presumed to be determined by the quantitative traits of plant lines and F₁ hybrids obtained by diallel crossing. Relationships between dissimilarity parameters have been determined, and algorithms for estimating their use, in particular, for detecting the most heterozygous hybrids are suggested.     

Genetic Diversity in Grapevine Germplasm Resources in the Coruh Valley Revealed by RAPD Markers

Random amplified polymorphic DNA analysis was carried out in 35 autochthonous table grapevine cultivars grown in Coruh valley. Fifty-five oligonucleotide primers were screened on cultivars, and among them, 12 primers showed clear polymorphic patterns. PCR amplification with 12 primers generated a total of 157 polymorphic bands. There was genetic variation among the cultivars with values of genetic diversity ranging from 0.19 to 0.72 using the Jaccard coefficient. UPGMA analysis of the distance matrix resulted in a dendrogram with two main clusters. The first cluster included 28 cultivars and the second 7 cultivars. The greatest genetic similarity was observed between cultivars Gah and Kolik, while the greatest dissimilarity was observed between cultivars Gah and Siyah Kus Uzumu. The dendrogram revealed that the cultivars present in Coruh valley can be distinguished to a relatively high degree.     

Partial molecular characterization of some kiwi fruit cultivars by RAPD markers

Molecular variability among seven cultivars of A. deliciosa var. deliciosa was investigated through RAPD markers. Thirty four decamer primers were screened generating polymorphic patterns of amplified DNA for these cultivars. Twenty one selected primers gave clear and reporducible patterns. A total of 430 bands were produced and 29.37% of them were polymorphic. The patterns distinguished between the cultivars and their analysis established an approach to classification within A. deliciosa var. deliciosa based on RAPD markers. The dendrogram clearly differentiated male from female cultivars. While abbot and allison female cultivars were closely related, bruno and abbot female cultivars showed maximum dissimilarity.     

Genetic Diversity of Kenaf (Hibiscus cannabinus) Evaluated by Inter-Simple Sequence Repeat (ISSR)

Understanding genetic diversity is very useful for scientific utilization for breeding. In this study, we estimated the genetic distances in a panel of 84 kenaf accessions collected from 26 countries and regions using ISSR markers. The results of UPGMA analysis showed that kenaf germplasm had abundant genetic variation, with genetic dissimilarity coefficients ranging from 0.01 to 0.62. The in-group dissimilarity coefficient (0.29) was observed in 84 kenaf accessions, and all the accessions could be divided into three groups: cultivars (L_1–1), relatively wild species (L_1–2 and L_1–3), and wild species (the others). Further in-group analysis in group L_1–1 (0.19) revealed that the kenaf cultivars could be divided into five subgroups with distinct regional characteristics. It is imperative that genes be exchanged among all kinds of tested varieties from different origins. The results provide a useful basis for kenaf germplasm research and breeding.     

AFLP analysis of genetic variability in New Guinea impatiens

New Guinea impatiens ( Impatiens hawkeri) is an economically important floral crop, however, little work has been conducted to further our understanding of the genetics of this crop. In this study, we used amplified fragment length polymorphism (AFLP) technology to investigate the level of polymorphism present among 41 commercial cultivars of New Guinea impatiens, study their genetic relatedness, and assess the genetic diversity in this material. An efficient DNA extraction protocol was developed, and a total of 48 EcoRI and MseI primer combinations were used for PCR amplification. Amplification products were then subjected to polyacrylamide gel electrophoresis. The AFLP analysis showed that all 41 cultivars generated between 73 and 130 scoreable polymorphic bands per primer combination. Gower's Genetic Dissimilarity estimates for the entire set of cultivars ranged between 0.940 and 0.488. A dendogram was generated from these dissimilarity data that revealed four groupings among these 41 cultivars. The implications of these results on genotypic variation, genetic relationships, and genetic diversity in New Guinea impatiens will be discussed.     

Genetic dissimilarity of putative gamma-ray-induced 'Preciosa-AAAB-Pome type' banana (Musa sp) mutants based on multivariate statistical analysis

Bananas are among the most important fruit crops worldwide, being cultivated in more than 120 countries, mainly by small-scale producers. However, short-stature high-yielding bananas presenting good agronomic characteristics are hard to find. Consequently, wind continues to damage a great number of plantations each year, leading to lodging of plants and bunch loss. Development of new cultivars through conventional genetic breeding methods is hindered by female sterility and the low number of seeds. Mutation induction seems to have great potential for the development of new cultivars. We evaluated genetic dissimilarity among putative 'Preciosa' banana mutants generated by gamma-ray irradiation, using morphoagronomic characteristics and ISSR markers. The genetic distances between the putative 'Preciosa' mutants varied from 0.21 to 0.66, with a cophenetic correlation coefficient of 0.8064. We found good variability after irradiation of 'Preciosa' bananas; this procedure could be useful for banana breeding programs aimed at developing short-stature varieties with good agronomic characteristics.     

Compositional dissimilarity patterns of reptiles and amphibians in insular systems around the world

Several studies have shown that taxa with poor dispersal ability have a higher level of compositional dissimilarity than good dispersers. However, compositional dissimilarity patterns between islands with respect to dispersal ability of taxa have never been investigated before. In this study, we investigated compositional dissimilarity patterns of three taxonomic groups, namely amphibians, lizards, and snakes, differing in their dispersal abilities, in various insular systems around the world. We compiled presence–absence matrices, based on which we calculated several metacommunity indices to check for differences among taxonomic groups and island types (oceanic and continental shelf) using classical statistical tests and generalized linear mixed-effects models. According to our results, compositional dissimilarity was positively affected by the isolation of the insular system, in accordance to theory. In particular, oceanic systems were characterized by a high level of compositional dissimilarity between islands and subsequently by a low level of nestedness. SIEs may be generating these patterns causing distortions from expected levels of nestedness. Similar to our predictions, compositional dissimilarity patterns were also dependent on taxon-specific dispersal ability, with good dispersers showing lower levels of between-island compositional dissimilarity than poor dispersers in continental shelf systems. However, this pattern was not observed in oceanic systems. In conclusion, compositional dissimilarity in insular systems is dependent on both taxon and island type.     

Genetic diversity in local and commercial dry bean (Phaseolus vulgaris) accessions based on microsatellite markers

Dry beans are considered to be a crop of great socio-economic importance, because they are an inexpensive source of nutrients and because their cultivation requires considerable manual labor. Studies of genetic diversity have been very important for genetic improvement programs, because they give parameters for the identification of genitors that can provide large heterosis effects and improved segregation in recombinants, increasing the probability of obtaining superior genotypes in the progeny. We evaluated the genetic diversity of 57 dry bean accessions, including 31 local accessions, propagated by small-scale farmers, 20 accessions supplied by the Brazilian Agricultural Research Agency, and six commercial accessions, using 16 microsatellite primers. Among these primers, 13 were found to be polymorphic, giving 29 polymorphic alleles. The largest number of alleles per locus was observed for primer BM141, which had four alleles. The polymorphic information content varied from 0.11 to 0.51, observed for loci BM212 and BM141, respectively. The lowest degree of dissimilarity (0.0) was found between the accession Iapar 81 and the accessions E03, E04, E09, and E13 and between the accession pairs E08 with E16 and Iapar 31 with E06. The highest degree of dissimilarity was found between the accessions Carioca and E22 (1.0). Grouping analysis revealed four groups, according to the place of origin. This tendency was also found in the principal coordinate analysis. The local genotypes were found to have relatively high genetic diversity, while the EMBRAPA and commercial cultivars had a relatively narrow genetic basis.     

The use of AFLP and SSR molecular markers to decipher homonyms and synonyms in grapevine cultivars: the case of the varietal group known as ’’Schiave’’

’’Schiave’’ collectively refers to grapevine cultivars presently grown on the Southern and Northern slopes of the Eastern Alps and bearing different names (Schiava, Trollinger, Rossara, Rossola, Geschlafene, Gansfüsser, Urban and others). Their common origin has been suggested by historic, linguistic and ampelographic considerations. This hypothesis has now been assayed by using more direct approaches based on AFLP and SSR analysis. The present paper shows: (1), that AFLP and SSR give comparable results when used to study genomic similarity among the Schiave grapevine cultivars, and (2) that ’’Schiave’’ is used to group grapevine cultivars that are genetically heterogeneous. In fact, a dendrogram constructed from an AFLP analysis of the 33 best-known Schiave (or correlated) cultivars, shows different, and in some cases relevant, degrees of genomic dissimilarity. The analysed cultivars cluster into at least five taxonomic groups with specific geographic distribution along the valleys of Valtellina, Bergamo and Brescia and those of South Tyrol and Swabia. It is concluded that the common definition ’’Schiave’’ refers to a similar cultivation practice in contiguous regions rather than to a common genetic background. Received: 16 February 2000 / Accepted: 10 May 2000     

Molecular-genetic polymorphisms of cultivars of common hops (Humulus lupulus L.) using ISSR-PCR analysis

Genetic diversity among 26 Russian and European cultivars of the common hop (Humulus lupulus L.) was studied using the ISSR-PCR technique. Twenty-one primers used provided amplification of 183 DNA fragments, 106 of which (57.9%) were found to be polymorphic. The ISSR markers, specific for certain cultivars were revealed. Based on the coefficient of dissimilarity values, cluster analysis was performed and a dendrogram was constructed, on which most of the hop cultivars formed two clusters according to their origin. Advantages of the ISSR-PCR analysis in selective studies aimed at the classification and identification of common hop cultivars are discussed.     

Analysis of the Genetic Structure of a Barley Collection Using DNA Diversity Array Technology (DArT)

Analysis of the extent of genetic variation within genetic resources is important for diversity preservation and also for breeders who exploit it. We investigated the recently introduced molecular marker technique of DNA diversity array technology (DArT), with the objective of characterising diversity in the likely relatively narrow genetic background of Czech malting barley cultivars. A total of 94 obsolete or registered barley cultivars and some hulless barley lines primarily of Czech origin were characterised by DArT analysis. A total of 271 polymorphic marker alleles were revealed across the analysed set of accessions, 37 of which were identified as being overrepresented; the other 234 markers were used for further analysis. The average dissimilarity value within the analysed set of accessions was 0.692. To assess how well DArT is suited for individual barley characteristic evaluation, available agronomical data from three yield field trials were used. Out of 94 barley genotypes used in the field trials that were assessed by DArTs, 41 have been grown over time as malting cultivars in the region. Similarity matrices based on Gower’s coefficient for mixed data and simple matching coefficient were used to compare DaRT and agronomical results. We demonstrate that a DArT-based similarity matrix and an agronomical data-based similarity matrix correlated well. To assess the genetic structure of the entire collection, K-means and simple matching coefficient clustering were used. Statistical analysis confirmed the power of the DArT system, in fact they efficiently grouped old genetic resources and modern cultivars in the expected way. Our results show that the level of genetic diversity has not changed substantially over time, but significant shifts in allelic frequency have occurred. In addition, a DArT-based dendrogram and principal component analysis (PCA) plots clearly demonstrated the impact of breeding practices on the diversity of Czech spring malting barley cultivars over time.     

Local species assemblages are influenced more by past than current dissimilarities in photosynthetic activity

Most land on Earth has been changed by humans and past changes of land can have lasting influences on current species assemblages. Yet few globally representative studies explicitly consider such influences even though auxiliary data, such as from remote sensing, are readily available. Time series of satellite‐derived data have been commonly used to quantify differences in land‐surface attributes such as vegetation cover, which will among other things be influenced by anthropogenic land conversions and modifications. Here we quantify differences in current and past (up to five years before sampling) vegetation cover, and assess whether such differences differentially influence taxonomic and functional groups of species assemblages between spatial pairs of sites. Specifically, we correlated between‐site dissimilarity in photosynthetic activity of vegetation (the enhanced vegetation index) with the corresponding dissimilarity in local species assemblage composition from a global database using a common metric for both, the Bray–Curtis index. We found that dissimilarity in species assemblage composition was on average more influenced by dissimilarity in past than current photosynthetic activity, and that the influence of past dissimilarity increased when longer time periods were considered. Responses to past dissimilarity in photosynthetic activity also differed among taxonomic groups (plants, invertebrates, amphibians, reptiles, birds and mammals), with reptiles being among the most influenced by more dissimilar past photosynthetic activity. Furthermore, we found that assemblages dominated by smaller and more vegetation‐dependent species tended to be more influenced by dissimilarity in past photosynthetic activity than prey‐dependent species. Overall, our results have implications for studies that investigate species responses to current environmental changes and highlight the importance of past changes continuing to influence local species assemblage composition. We demonstrate how local species assemblages and satellite‐derived data can be linked and provide suggestions for future studies on how to assess the influence of past environmental changes on biodiversity.     

Effectiveness of measures requiring and not requiring prior sequence alignment for estimating the dissimilarity of natural sequences

Summary Various measures of sequence dissimilarity have been evaluated by how well the additive least squares estimation of edges (branch lengths) of an unrooted evolutionary tree fit the observed pairwise dissimilarity measures and by how consistent the trees are for different data sets derived from the same set of sequences. This evaluation provided sensitive discrimination among dissimilarity measures and among possible trees. Dissimilarity measures not requiring prior sequence alignment did about as well as did the traditional mismatch counts requiring prior sequence alignment. Application of Jukes-Cantor correction to singlet mismatch counts worsened the results. Measures not requiring alignment had the advantage of being applicable to sequences too different to be critically alignable. Two different measures of pairwise dissimilarity not requiring alignment have been used: (1) multiplet distribution distance (MDD), the square of the Euclidean distance between vectors of the fractions of base singlets (or doublets, or triplets, or…) in the respective sequences, and (2) complements of long words (CLW), the count of bases not occurring in significantly long common words. MDD was applicable to sequences more different than was CLW (noncoding), but the latter often gave better results where both measures were available (coding). MDD results were improved by using longer multiplets and, if the sequences were coding, by using the larger amino acid and codon alphabets rather than the nucleotide alphabet. The additive least squares method could be used to provide a reasonable consensus of different trees for the same set of species (or related genes).     

Genetic and ‘cultural’ similarity in wild chimpanzees

The question of whether animals possess ‘cultures’ or ‘traditions’ continues to generate widespread theoretical and empirical interest. Studies of wild chimpanzees have featured prominently in this discussion, as the dominant approach used to identify culture in wild animals was first applied to them. This procedure, the ‘method of exclusion,’ begins by documenting behavioural differences between groups and then infers the existence of culture by eliminating ecological explanations for their occurrence. The validity of this approach has been questioned because genetic differences between groups have not explicitly been ruled out as a factor contributing to between-group differences in behaviour. Here we investigate this issue directly by analysing genetic and behavioural data from nine groups of wild chimpanzees. We find that the overall levels of genetic and behavioural dissimilarity between groups are highly and statistically significantly correlated. Additional analyses show that only a very small number of behaviours vary between genetically similar groups, and that there is no obvious pattern as to which classes of behaviours (e.g. tool-use versus communicative) have a distribution that matches patterns of between-group genetic dissimilarity. These results indicate that genetic dissimilarity cannot be eliminated as playing a major role in generating group differences in chimpanzee behaviour.     

Deconstructing spatial patterns in species composition of ectoparasite communities: the relative contribution of host composition,environmental variables and geography

Aim We determined whether dissimilarity in species composition between parasite communities depends on geographic distance, environmental dissimilarity or host faunal dissimilarity, for different subsets of parasite species with different levels of host specificity. Location Communities of fleas parasitic on small mammals from 28 different regions of the Palaearctic. Method Dissimilarities in both parasite and host species composition were computed between each pair of regions using the Bray–Curtis index. Geographic distances between regions were also calculated, as were measures of environmental dissimilarity consisting of the pairwise Euclidean distances between regions derived from elevation, vegetation and climatic variables. The 136 flea species included in the dataset were divided into highly host‐specific species (using 1–2 host species per region, on average), moderately host‐specific species (2.2–4 hosts per region) and generalist species (>4 hosts per region). The relative influence of geographic distance, host faunal dissimilarity and environmental dissimilarity on dissimilarity of flea species composition among all regions was analysed for the entire set of flea species as well as for the three above subsets using multiple regressions on distance matrices. Results When including all flea species, dissimilarity in flea species composition was affected by all three independent variables, although the pure effect of dissimilarity in host species composition was the strongest. Results were different when the subsets of fleas differing in host specificity were treated separately. In particular, dissimilarity in species composition of highly host‐specific fleas increased solely with environmental dissimilarity, whereas dissimilarity for both moderately specific and non‐specific fleas increased with both geographic distance and dissimilarity in host species composition. Main conclusions Host specificity seems to dictate which of the three factors considered is most likely to affect the dissimilarity between flea communities. Counter‐intuitively, environmental dissimilarity played a key role in determining dissimilarity in species composition of highly host‐specific fleas, possibly because, although their presence in a region relies on the occurrence of particular host species, their abundance is itself mostly determined by climatic conditions. Our results show that deconstructing communities into subsets of species with different traits can make it easier to uncover the mechanisms shaping geographic patterns of diversity.     

On the question of using alleles of gliadin-coding loci as possible markers of adaptive ability in cultivars of spring wheat (Triticum aestivum L.) during seed germination

Prolamine proteolysis is assumed to be among numerous adaptability factors in cereals. The patterns of gliadin proteolysis have been studied in 16 cultivars of spring wheat via analysis of electrophoretic spectra. Four proteolytic patterns have been identified. It is hypothesized that the cultivars characterized by early and rapid proteolysis (the first and third types) are the most adaptable. The gliadin genetic formulas of chromosomes of the first homeologous group have been determined. The alleles of gliadin loci (Gli-Alf, Gli-Ble, Gli-D1a, and Gli-D1b) have been found that can be used as markers of adaptability in spring wheat cultivars.     

Effects of freshwater eutrophication on species and functional beta diversity of periphytic algae

Studies about beta diversity and environmental heterogeneity have shown that the strength of the environmental filtering effect may decrease with the increasing scale. These empirical results have related eutrophic aquatic environments to higher values of beta diversity, but never to dissimilarity of species and functional traits of periphytic algae. We tested the hypotheses that periphytic algae have higher dissimilarity of both species and functional traits in eutrophic environments, and that these dissimilarities are related to environmental dissimilarity. To this end, we used richness, density, and four functional traits of periphytic algae and local limnological data from wetlands in the Brazilian savanna (Cerrado). We analyzed the beta diversity and the relationship of species and functional dissimilarities with the environmental dissimilarity and geographic distances. Our hypothesis was confirmed for functional traits dissimilarity and for the importance of the environmental dissimilarity for both species and functional beta diversity. The cultural eutrophication led to a functional homogenization in urban wetlands, which indicates the establishment of species with similar ecological requirements, and consequently, similar ‘roles’ in the ecosystem, and also that sensitive species may have been replaced by tolerant species, leading to declining biodiversity.