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a Dep. of Botany and Plant Sciences, University of California, Riverside, CA 92521
b Genetic Resources Unit, International Center for Agricultural Research in the Dry Areas (ICARDA), P.O. Box 5466, Aleppo, Syria
* Corresponding author (giles.waines{at}ucr.edu)
| ABSTRACT |
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| INTRODUCTION |
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There have been some efforts to evaluate, document, and use landraces, primitive forms, wild relatives, as well as other members of the Triticeae for breeding purposes (Knott, 1989). For example, Mujeeb-Kazi et al. (1996) generated additional genetic diversity in hexaploid wheat (BBAADD) [genomic formula according to Waines and Barnhart (1992)] by producing synthetic wheats through hybridization of durum wheat (Triticum turgidum L.), the donor of the B and A genomes with Ae. tauschii Coss., the donor of the D genome (Kihara, 1944). Moreover, breeders have achieved commercial benefits from similar distant hybridization by transferring field-tested stem rust and leaf rust resistant genes from Ae. triuncialis L. (UUCC), a wild relative, to wheat through backcrossing and embryo rescue (Knott, 1989).
Besides agronomic benefits, genetic diversity studies in Aegilops are also important to discover the basis of weediness in some of the Aegilops species. For instance, at least two of the seven introduced Aegilops species in the United States are troublesome weeds. Jointed goatgrass (Ae. cylindrica Host) is a noxious annual weed that is particularly troublesome in winter wheat-growing areas of the western United States. This weed is a strong competitor of winter wheat costing approximately $45 million annually in reduced wheat yield and quality in the USA (Donald and Ogg, 1991). Similarly, barbed goatgrass, Ae. triuncialis, is considered a noxious weed of rangelands in Northern and Central California. Therefore, understanding the genetic structure of these troublesome weedy populations may facilitate designing new ways to control them, especially when most other conventional methods of weed control have failed to contain their spread (Donald and Ogg, 1991).
The primary gene pool of wheat comprises four wild species, Triticum monococcum L. ssp. aegilopoides (Link) Boiss., T. urartu Tumanian ex Gandilyan, T. turgidum L. ssp. dicoccoides (Körn ex. Asch. & Graebn.) Thell., and T. timopheevii (Zhuk.) Zhuk, and their domesticated forms in the genus Triticum L. The genera Aegilops (B/G and D genomes) and Amblyopyrum constitute most of the secondary gene pool of wheat (Harlan and de Wet, 1971). Studies of variation in nuclear DNA (Dvorak and Zhang, 1990) strongly support the idea that genomes B/G were derived from an S-genome species of the section Sitopsis, most likely related to Ae. speltoides Tausch, whereas Ae. tauschii contributed the D genome to bread wheat.
Aegilops is characterized as a MediterraneanWestern Asiatic element and its center of diversity follows the central part of the Fertile Crescent arc in West Asia. Amblyopyrum is a Western Asiatic element of limited distribution. This monospecific genus occurs in central Anatolia and Armenia. The ecological distribution of the two genera is very similar, with species occurring frequently along roadsides, edges of cultivation, dry hillsides, and grassy steppes, where it tolerates disturbance (van Slageren, 1994).
Genetic diversity studies (Nevo et al., 1982; Smith-Huerta et al., 1989; Medlinger and Zohary, 1995; Hegde et al., 2000) of wild wheat populations have dealt mainly with diploid and tetraploids, and the goatgrass Ae. speltoides. Medlinger and Zohary (1995) observed higher genetic diversity estimates of five Aegilops species in section Sitopsis than the average value reported for annual grasses using allozyme electrophoresis (Hamrick and Godt, 1990). A genetic diversity study on wild Triticum species (Nevo et al., 1982) from the same area reported relationships between population genetic variability and environmental heterogeneity, however, this association was not observed by Medlinger and Zohary (1995) in Aegilops.
The genus Aegilops contains 22 species comprising both diploids and polyploids, that originated from the center of origin (van Slageren, 1994). The primary objective of this study was to understand (i) the extent and pattern of genetic diversity among diploid and polyploid wild species of Aegilops; and (ii) the process of evolution in these species. In addition, populations of Ae. cylindrica and Ae. triuncialis from California were included to compare the genetic structure of these introduced weedy species to original populations collected from their centers of origin.
| MATERIALS AND METHODS |
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Sampling
One spike was randomly collected from each of 30 or more plants in each population representing Aegilops species from all sections except Comopyrum (Table 1).
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The populations were scored for the following isozymes: acid phosphatase (Acp), isocitrate dehydrogenase (Idh), malate dehydrogenase (Mdh), phosphoglucose isomerase (Pgi), 6-phosphogluconate dehydrogenase (6Pgd), phosphoglucomutase (Pgm), shikimate dehydrogenase (Skdh), and triosephosphate isomerase (Tpi). The staining procedure, the number of loci per enzyme, and their alleles were inferred from past electrophoretic studies of Triticum and Aegilops (Nevo et al., 1982; Smith-Huerta et al., 1989; Medlinger and Zohary, 1995). In each locus, alleles were alphabetically designated with a being that producing the band of slowest mobility. Likewise, multiple isozyme loci were represented with 1 being the slowest. On the basis of bandwidth criterion, we were not able to distinguish the specific contribution of the individual genome or homeologous locus. Therefore, for convenience, depending on the examined enzyme, we designated the two genomes of the tetraploid species as slow (S) and fast (F) genomes on the basis of their mobility (Nevo et al., 1982). This assignment may not accurately assign enzyme bands to the products of the distinct genomes of the polyploid because each genome may possess a locus or alleles that are capable of migrating slower or faster on the gel. For that reason, we did not make any attempt to associate the S and F genomes with the conventional genomes of the tetraploid or hexaploid Aegilops.
Genetic Diversity Parameters
The following genetic variability parameters were calculated at the population or between species levels; alleles per locus (A), percent polymorphic loci (P), observed heterozygosity (Ho), and expected heterozygosity (He = Hardy-Weinberg expected heterozygosity, Nei, 1987). The mean number of alleles per locus was determined by summing all the alleles observed within a population(s) or between species and dividing this sum by the number of loci (Hamrick and Godt, 1990). Percent polymorphic loci was calculated by dividing the number of loci polymorphic within a population or between species by the total number of loci analyzed and expressed as a percentage. The observed heterozygosity per locus was calculated by dividing the total number of heterozygous loci within a population(s) or between species by the total number of loci. Genetic diversity was calculated for each locus (including monomorphic and polymorphic loci) by: He = 1 -
x2i. For the within-population values xi is the frequency of the ith allele in each population, whereas for the between populations or species values, xi is the mean frequency of the ith allele pooled across all populations or species. Mean genetic diversity at the individual population or between populations or species level was obtained by averaging He over all loci (Hamrick and Godt, 1990). The linkage disequilibrium between loci was estimated (Weir, 1979). The gene flow "Nm" was indirectly estimated from Fst values (Slatkin and Barton, 1989). The genetic identity (I) and genetic distance (D) values were calculated between populations within a species and between species (Nei, 1987). The genetic distance values (D) were used to generate an unweighted pair-group clustering based on the arithmetic averages (UPGMA) phenogram (Felsenstein, 1994).
| RESULTS AND DISCUSSION |
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The majority of diploid and polyploid populations were homozygous and homogeneous, especially among the Aegilops species (Tables 2 and 3). Overall, 20% of the loci in diploids and 6% of the loci in polyploids were polymorphic, and 30% of the diploid and 50% of the polyploid populations were homozygous for all ten loci studied. Populations of Ae. tauschii (Rasafa, pop. 2), Ae. searsii Feldman & Kislev ex Hammer, Ae. cylindrica, Ae. biuncialis Vis. and Ae. vavilovii were monomorphic for all the loci examined. Among diploid Aegilops and Amblyopyrum species, Ae. caudata L. and Amblyopyrum muticum (Boiss.) Eig were polymorphic, but for a different set of isozymes. Aegilops caudata loci Idh, Mdh-1, Mdh-2 and Pgd were polymorphic, while loci Pgd, Pgi, Pgm, Tpi-1 and Tpi-2 were polymorphic in Am. muticum. Between two populations of Ae. tauschii (Tables 1 and 2) the Rasafa population was completely monomorphic, while the other population, 28 km away, was polymorphic for the Pgd locus. Within Ae. triuncialis (Table 3), the Turkey population was polymorphic for Pgi-1F and the California population was polymorphic for Pgd-2, Pgm-1S, and Pgm-1F.
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In our study, both populations of Ae. tauschii, Ae. crassa, and one of Ae. cylindrica and Ae. triuncialis were collected from large original populations from their center of origin. Contrary to our expectation, allelic variation did not vary between the original and the introduced populations of Ae. cylindrica (Pop. Nos. 10 and 11; Table 4). On the other hand, allelic variation was higher in the introduced Californian population of Ae. triuncialis compared with the population from the center of origin. These observations imply that stochastic events may not be the major factors shaping the observed population/species genetic structure in the case of Ae. tauschii and Ae. cylindrica and natural selection and adaptation might be a causal factor for the observed results. The strongest empirical evidence for the selection-adaptation hypothesis (Hegde et al., 2000) was provided by Nevo et al. (1982) for a tetraploid wild wheat species. Using a variety of genetic markers, they demonstrated that in wild tetraploid wheat, T. dicoccoides (Körn, ex Asch. & Graebn.), genetic diversity is at least partly adaptive and differentiated primarily by ecological factors, such as soil, moisture stress, and microclimatic conditions. Between species observed genetic variation in our study could also be the result of fine-scale adaptation to the ecological diversity of the region. On a global scale, the ecology of the species in our study may differ depending on their geographic locations, as all of these species occur in dry and disturbed habitats of the Mediterranean region.
Low within-species genetic variation was observed in polyploid Aegilops species compared with diploid Aegilops species. Nevo et al. (1982) and Hegde et al. (2000) observed similar low genetic diversity in wild tetraploid wheats. Galili and Feldman (1983) attributed the lack of genetic variation in polyploids to gene silencing, which is described as an evolutionary response of the species to nullify the deleterious effects of large-scale genome duplications. On the contrary, the experimental analysis of isozyme loci from different genomes indicated that few loci have been silenced in hexaploid wheat (Hart, 1983). The polyploid Aegilops species exhibited substantially more between-species genetic diversity than the diploid Aegilops. In addition to the ecological diversity and selection-adaptation argument, the higher estimates of between-species genetic variation in polyploid Aegilops species could also be due to the presence of diverse genome combinations (Table 1). There are few reported incidences of genome modification in polyploid Aegilops species compared with the original diploid progenitor genomes (Badaeva et al., 1998). In addition, it has been shown that, sometimes, isozyme polymorphism in polyploids arises by the association of polypeptides encoded by genes located in homeologous chromosomes (Hart, 1983).
The allelic polymorphism for a locus sometimes can arise as a consequence of its genetic linkage with another polymorphic locus. The genetic linkage between loci is invoked to explain polymorphism that persists in inbreeders (Jain, 1983). We calculated pairwise linkage estimates according to Weir (1979) between polymorphic loci in all possible combinations for the polymorphic populations of three presumed inbreeders Ae. tauschii, Ae. crassa and Ae. triuncialis. Of these three species, only the Ae. triuncialis population from California exhibited significant linkage (p < 0.05) between the two alleles of the locus Pgm-1S and the two alleles of the locus Pgm-1F. The locus Pgd-2, the only remaining polymorphic locus in this population, did not show any linkage effect with other loci. Therefore, part of the genetic variability in the California Ae. triuncialis population could be the result of linkage between polymorphic loci.
The obligate outcrossers, Am. muticum and S. cereale, had less than expected genetic variation despite their ability to generate heterozygous individuals. Genetic diversity estimates of S. cereale from Southern California populations (He = 0.09 - 0.13) were lower than reported earlier for this species from Northern California and Southern Oregon (He = 0.29 - 0.35) (Sun and Corke, 1992). If reduced genetic variation is the causal factor for the colonizing success of many introduced species, as suggested for plants (Allard, 1965) or empirically shown for an ant species (Tsutsui et al., 2000), then the lower genetic variation observed for the weedy S. cereale could be viewed as an evolutionary strategy of this species to enhance its colonization success. Alternatively, it may mean that the populations tested were already similar in origin, thus reducing the variation and in most annuals, their life form (growth habit) supports the rapid colonization specifically of disturbed sites.
Genetic Distance and Species Relationship
Diploid species of Aegilops were genetically more related to each other than to polyploid species (Table 5). The average genetic distance among diploid Aegilops species was 0.18 ± 0.10; between diploid Aegilops species and Am. muticum was 0.33 ± 0.07; between diploid Aegilops species and S. cereale was 0.52 ± 0.06; and among polyploid Aegilops species was 0.64 ± 0.28. Current or historical gene flow is one of the major factors influencing genetic differentiation between related species. The experimental evidence (Zohary and Feldman, 1962) indicates that tetraploid Aegilops species are loosely interconnected through occasional hybridization and gene-flow and diploid Aegilops species are more distinct among themselves. This is also supported by the observation of more natural hybrids among polyploid Aegilops species than among diploid Aegilops species (van Slageren, 1994). However, we did not observe significant gene flow among diploid (Nm = 0.06) or polyploid Aegilops species (Nm = 0.02). Therefore, the higher degree of genetic differentiation among polyploid Aegilops species might be the result of genome modification (Badaeva, 1998) or the consequence of homeologous chromosome interactions (Hart, 1983).
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Our genetic diversity study in wild and weedy populations of Aegilops, Amblyopyrum, and Secale species suggests that the majority of Aegilops species were genetically less diverse than other annual grasses, while allogamous Am. muticum and S. cereale exhibited less than expected genetic diversity. Overall genetic diversity within individual polyploid Aegilops species is less compared to diploid Aegilops species, yet the polyploids are genetically more diverse from each other than the diploids. Whenever more than one population of a species was analyzed, genetic diversity was found to be spatially distributed between populations within a species. Therefore, for germplasm collection, it may be more profitable to sample a large number of populations of each species from diverse ecological sites to maximize genetic variation in the collection. Aegilops species are excellent model organisms to address several systematic and evolutionary questions because of their diverse genome compositions, different ploidy levels, and ready availability of extant natural populations from their center of origin.
| ACKNOWLEDGMENTS |
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Received for publication November 13, 2000.
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