Genetic structure of wild emmer wheat populations as reflected by transcribed versus anonymous SSR markers.

Simple sequence repeat (SSR) markers have become a major tool in population genetic analyses. The anonymous genomic SSRs (gSSRs) have been recently supplemented with expressed sequence tag (EST) derived SSRs (eSSRs), which represent the transcribed regions of the genome. In the present study, we used 8 populations of wild emmer wheat (Triticum turgidum subsp. dicoccoides) to compare the usefulness of the two types of SSR markers in assessing allelic diversity and population structure. gSSRs revealed significantly higher diversity than eSSRs in terms of average number of alleles (14.92 vs. 7.4, respectively), polymorphic information content (0.87 vs. 0.68, respectively), and gene diversity (He; 0.55 vs. 0.38, respectively). Despite the overall differences in the level of diversity, Mantel tests for correlations between eSSR and gSSR pairwise genetic distances were found to be significant for each population as well as for all accessions jointly (RM=0.54, p=0.01). Various genetic structure analyses (AMOVA, PCoA, STRUCTURE, unrooted UPGMA tree) revealed a better capacity of eSSRs to distinguish between populations, while gSSRs showed a higher proportion of intrapopulation (among accessions) diversity. We conclude that eSSR and gSSR markers should be employed in conjunction to obtain a high inter- and intra-specific (or inter- and intra-varietal) distinctness.     

Development and characterization of microsatellite markers from tropical forage Stylosanthes species and analysis of genetic variability and cross-species transferability

A limited number of functional molecular markers has slowed the desired genetic improvement of Stylosanthes species. Hence, in an attempt to develop simple sequence repeat (SSR) markers, genomic libraries from Stylosanthes seabrana B.L. Maass & 't Mannetje (2n=2x=20) using 5' anchored degenerate microsatellite primers were constructed. Of the 76 new microsatellites, 21 functional primer pairs were designed. Because of the small number of primer pairs designed, 428 expressed sequence tag (EST) sequences from seven Stylosanthes species were also examined for SSR detection. Approximately 10% of sequences delivered functional primer pairs, and after redundancy elimination, 57 microsatellite repeats were selected. Tetranucleotides followed by trinucleotides were the major repeated sequences in Stylosanthes ESTs. In total, a robust set of 21 genomic-SSR (gSSR) and 20 EST-SSR (eSSR) markers were developed. These markers were analyzed for intraspecific diversity within 20 S. seabrana accessions and for their cross-species transferability. Mean expected (He) and observed (Ho) heterozygosity values with gSSR markers were 0.64 and 0.372, respectively, whereas with eSSR markers these were 0.297 and 0.214, respectively. Dendrograms having moderate bootstrap value (23%-94%) were able to distinguish all accessions of S. seabrana with gSSR markers, whereas eSSR markers showed 100% similarities between few accessions. The set of 21 gSSRs, from S. seabrana, and 20 eSSRs, from selected Stylosanthes species, with their high cross-species transferability (45% with gSSRs, 86% with eSSRs) will facilitate genetic improvement of Stylosanthes species globally.     

Analysis of cytoplasmic variation in a cucumber germplasm collection using chloroplast microsatellite markers

Nine PCR-based markers were developed from the microsatellites in non-coding regions of chloroplast genome of Cucumis sativus and used to detect chloroplast DNA variation. These markers successfully detected intraspecific polymorphism among 37 cucumber accessions containing Chinese native germplasms (CNGs) and non-Chinese germplasms (NCGs). Each marker detected between two and four alleles and the diversity value of the makers ranged from 0.105 to 0.528. Based on the data from allele size variation, a total of 17 distinct haplotypes were identified from the 35 accessions (excluding the two accessions possessing null genes). Three haplotypes were prevalent among CNGs but most NCGs had unique haplotype. No identical haplotype was found between CNGs and NCGs, reflecting lack of exchange of CNGs with others in the 60–80s of last century. A wild species (C. hystrix Chakr.) tested herein shared a haplotype with some CNGs, suggesting that it could be the ancestry of C. sativus or at least had a common ancestral lineage. The genetic relationship among the 37 cucumber accessions was further analyzed through construction of dendrogram based on Jaccard coefficient of similarity obtained from the allele sizes. All the CNGs were clustered into a group (containing the wild accession) that distinctly differed from the other four groups containing NCGs. This result agreed with the findings above obtained from haplotype analysis. Our research documented here will offer useful information for cucumber breeding.     

Polymorphism of SSR alleles in pear cultivars grown in Belarus

Using SSR markers designed for Malus × domestica Borkh. genetic polymorphism of 43 pear accessions cultivated in Belarus was examined. A total of 217 alleles were identified with the mean number of 12.8 alleles per marker. The mean PIC value was 0.81; the mean number of informative alleles, 6.49. The heterozygosity level ranged from 0.30 to 0.84. Genetic diversity of SSR alleles in pear and apple genomes was compared. A method of identification of commercial pear cultivars using a set of six SSR markers was suggested.     

Comparison of SSR and cytochrome P-450 markers for estimating genetic diversity in Picrorhiza kurrooa L.

Picrorhiza kurrooa L., a high altitude medicinal plant, is known for its drug content called Kutkin. In the present study, DNA-based molecular marker techniques, viz. simple sequence repeats (SSR) and cytochrome P-450 markers were used to estimate genetic diversity in Picrorhiza kurrooa. Twenty five accessions of Picrorhiza kurrooa, collected from ten different eco-geographical locations were subjected to 22 SSR and eight cytochrome P-450 primer pairs, out of which 13 SSR markers detected mean 5.037 alleles with a mean polymorphic information content (PIC) of 0.7718, whereas eight cytochrome P-450 markers detected mean 5.0 alleles with a mean PIC of 0.7596. Genetic relationship among the accessions was estimated by constructing the dendrograms using SSR and cytochrome P-450 data. There was a clear consistency between SSR and cytochrome P-450 trees in terms of positioning of most Picrorhiza accessions. SSR markers could cluster various Picrorhiza kurrooa accessions based on their geographical locations whereas cytochrome P-450 markers could cluster few accessions as per their geographical locations. The Mantel test between SSR and cytochrome P-450 markers revealed a good fit correlation (r = 0.6405). The dendrogram constructed using the combined data of SSR and cytochrome P-450s depicted two clusters of accessions based on its eco-geographical locations whereas two clusters contained the accessions from mixed eco-geographical locations. Overall, the results of the present study point towards quiet high degree of genetic variation among the accessions of each eco-geographic region.     

Development of eSSR-Markers in Setaria italica and Their Applicability in Studying Genetic Diversity,Cross-Transferability and Comparative Mapping in Millet and Non-Millet Species

Foxtail millet ( Setaria italica L.) is a tractable experimental model crop for studying functional genomics of millets and bioenergy grasses. But the limited availability of genomic resources, particularly expressed sequence-based genic markers is significantly impeding its genetic improvement. Considering this, we attempted to develop EST-derived-SSR (eSSR) markers and utilize them in germplasm characterization, cross-genera transferability and in silico comparative mapping. From 66,027 foxtail millet EST sequences 24,828 non-redundant ESTs were deduced, representing ~16 Mb, which revealed 534 (~2%) eSSRs in 495 SSR containing ESTs at a frequency of 1/30 kb. A total of 447 pp were successfully designed, of which 327 were mapped physically onto nine chromosomes. About 106 selected primer pairs representing the foxtail millet genome showed high-level of cross-genera amplification at an average of ~88% in eight millets and four non-millet species. Broad range of genetic diversity (0.02–0.65) obtained in constructed phylogenetic tree using 40 eSSR markers demonstrated its utility in germplasm characterizations and phylogenetics. Comparative mapping of physically mapped eSSR markers showed considerable proportion of sequence-based orthology and syntenic relationship between foxtail millet chromosomes and sorghum (~68%), maize (~61%) and rice (~42%) chromosomes. Synteny analysis of eSSRs of foxtail millet, rice, maize and sorghum suggested the nested chromosome fusion frequently observed in grass genomes. Thus, for the first time we had generated large-scale eSSR markers in foxtail millet and demonstrated their utility in germplasm characterization, transferability, phylogenetics and comparative mapping studies in millets and bioenergy grass species.     

SSR and morphological trait based population structure analysis of 130 diverse flax (Linum usitatissimum L.) accessions

A total of 130 flax accessions of diverse morphotypes and worldwide origin were assessed for genetic diversity and population structure using 11 morphological traits and microsatellite markers (15 gSSRs and 7 EST–SSRs). Analysis performed after classifying these accessions on the basis of plant height, branching pattern, seed size, Indian/foreign origin into six categories called sub-populations viz. fibre type exotic, fibre type indigenous, intermediate type exotic, intermediate type indigenous, linseed type exotic and linseed type indigenous. The study assessed different diversity indices, AMOVA, population structure and included a principal coordinate analysis based on different marker systems. The highest diversity was exhibited by gSSR markers (SI = 0.46; He = 0.31; P = 85.11). AMOVA based on all markers explained significant difference among fibre type, intermediate type and linseed type populations of flax. In terms of variation explained by different markers, EST-SSR markers (12%) better differentiated flax populations compared to morphological (9%) and gSSR (6%) markers at P = 0.01. The maximum Nei's unbiased genetic distance (D = 0.11) was observed between fibre type and linseed type exotic sub-populations based on EST-SSR markers. The combined structure analysis by using all markers grouped Indian fibre type accessions (63.4%) in a separate cluster along with the Indian intermediate type (48.7%), whereas Indian accessions (82.16%) of linseed type constituted an independent cluster. These findings were supported by the results of the principal coordinate analysis. Morphological markers employed in the study found complementary with microsatellite based markers in deciphering genetic diversity and population structure of the flax germplasm.     

EST-SSR DNA polymorphism in durum wheat (Triticum durum L.) collections

SSRs derived from EST were molecular markers belonging to the transcribed region of the genome. Therefore, any polymorphism detected using EST-SSRs might reflect the better relationship among species or varieties. Using wheat EST-SSR markers, 60 durum wheat (Triticum durum L.) accessions from seven countries were investigated. Twenty-five primer pairs could amplify successfully in the 60 durum wheat accessions, of which tri-nucleotide repeats were the dominant type, and revealed 26 loci on all seven wheat homologous chromosome groups. A total of 87 eSSR alleles were detected, and the number of alleles detected by a single pair of primers ranged from 1 to 11, with an average of 3.3 alleles per locus. Higher numbers of alleles and PIC were identified on the B genome than those on the A genome.     

Genetic diversity and differentiation of lotus (Nelumbo nucifera) accessions assessed by simple sequence repeats

Nelumbo nucifera (lotus) is a perennial aquatic crop of substantial economical and ecological importance. Currently, the evaluation of the genetic variation of lotus germplasm accessions using codominant simple sequence repeat (SSR) markers is significant, and it is essential for understanding the population structure of N. nucifera. Here we report the genetic diversity and differentiation of 92 N. nucifera accessions (82 cultivated varieties and 10 wild lotus) using 50 polymorphic SSR markers. A total of 195 alleles were detected, with an average of 3.9 alleles/locus. The mean polymorphic information content (PIC) and the mean expected heterozygosity were 0.43 and 0.50, respectively. The genetic relationships among accessions were estimated using an unweighted pair‐group method with arithmetic average (UPGMA) cluster and principal coordinate analysis (PCA). Both methods revealed that the lotus accessions from China and those from its adjacent Asian countries formed a single cluster, respectively. The cultivated varieties were correlated with their major characteristics in cultivation (the seed, rhizome and flower type) rather than their geographic distribution. On the basis of the Bayesian model‐based analyses, two genetically distinct groups (the seed lotus group and the rhizome lotus group) were generated, with a strong differentiation between them (F_ST = 0.57). The seed lotus group exhibited higher genetic diversity than did the rhizome lotus group. The results herein indicated that the current levels of genetic diversity and differentiation between the lotuses have been greatly influenced by artificial selection.     

Two highly validated SSR multiplexes (8‐plex) for Euphrates' poplar,Populus euphratica (Salicaceae)

Multiplex PCR amplification of microsatellites has significantly increased the throughput and decreased the costs of genotyping. We have developed two highly polymorphic microsatellite multiplexes for Populus euphratica, the only tree species found in desert regions of Western China and adjacent Central Asian countries. The first of these multiplex kits comprises an eight‐Plex of genomic SSRs (gSSRs) obtained from published databases. The second comprises an eight‐plex of newly designed EST‐SSRs (eSSRs) based on expressed sequence tags for P. euphratica. Both kits were tested on a sample of 170 individuals from four populations. The gSSRs exhibited slightly more polymorphism than the eSSRs. The new multiplex protocols yielded consistent results in the hands of multiple researchers, demonstrating their robustness. The 16 loci used in the kits exhibited a high transferability rate (82.0%) in eight other poplar species belonging to five different sections of the genus. Both kits should therefore be useful for further investigations of population genetics in P. euphratica and related species. Our results indicate that it is essential to follow recently established recommendations when developing microsatellite markers, including verifying the amplification efficiency, detecting null alleles and carefully measuring error rates.     

Genetic characterization of an elite coffee germplasm assessed by gSSR and EST-SSR markers

Coffee is one of the main agrifood commodities traded worldwide. In 2009, coffee accounted for 6.1% of the value of Brazilian agricultural production, generating a revenue of US$6 billion. Despite the importance of coffee production in Brazil, it is supported by a narrow genetic base, with few accessions. Molecular differentiation and diversity of a coffee breeding program were assessed with gSSR and EST-SSR markers. The study comprised 24 coffee accessions according to their genetic origin: arabica accessions (six traditional genotypes of C. arabica), resistant arabica (six leaf rust-resistant C. arabica genotypes with introgression of Híbrido de Timor), robusta (five C. canephora genotypes), Híbrido de Timor (three C. arabica x C. canephora), triploids (three C. arabica x C. racemosa), and racemosa (one C. racemosa). Allele and polymorphism analysis, AMOVA, the Student t-test, Jaccard's dissimilarity coefficient, cluster analysis, correlation of genetic distances, and discriminant analysis, were performed. EST-SSR markers gave 25 exclusive alleles per genetic group, while gSSR showed 47, which will be useful for differentiating accessions and for fingerprinting varieties. The gSSR markers detected a higher percentage of polymorphism among (35% higher on average) and within (42.9% higher on average) the genetic groups, compared to EST-SSR markers. The highest percentage of polymorphism within the genetic groups was found with gSSR markers for robusta (89.2%) and for resistant arabica (39.5%). It was possible to differentiate all genotypes including the arabica-related accessions. Nevertheless, combined use of gSSR and EST-SSR markers is recommended for coffee molecular characterization, because EST-SSRs can provide complementary information.     

Genetic Diversity of Radish (Raphanus sativus L.) Germplasm Resources Revealed by AFLP and RAPD Markers

Genetic diversity of 56 radish accessions, representing nearly all the typical types and origins of cultivated radish germplasms conserved in the National Mid-term Genebank for Vegetables of China, was assessed with amplified fragment length polymorphism (AFLP) and random amplified polymorphic DNA (RAPD) markers. A total of 72 and 128 polymorphic bands were generated by the 12 selected RAPD primers and eight AFLP primer combinations respectively. A moderate correlation with the value of r = 0.66 was observed between AFLP and RAPD markers. The total 200 polymorphic bands were integrated to assess the genetic diversity of 56 radish accessions. The Jaccard similarity coefficients between the accessions varied from 0.30 to 0.83 with the mean of 0.54. Cluster analysis classified the germplasms into three groups of var. hortensis Becker, var. sativus, and var. niger Kerner. The three-dimensions scatter plot of principle coordinate analysis (PCA) further divided var. hortensis Becker germplasms into two separate groups. The results indicated that the genetic diversity harbored among var. hortensis Becker germplasms was very abundant, which could be further exploited for radish genetic improvement.     

Microsatellite marker-based diversity and population genetic analysis of selected lowland and mid-altitude maize landrace accessions of India

Maize (Zea mays L.) harbours significant genetic diversity not only in its centre of origin (Mexico) but also in several countries worldwide, including India, in the form of landraces. In this study, DNA fingerprinting of 48 landrace accessions from diverse regions of India was undertaken using 42 fluorescent dye-labeled Simple Sequence Repeat (SSR) markers, followed by allele resolution using DNA sequencer and analysis of molecular diversity within and among these landraces. The study revealed a large number of alleles (550), with high mean number of alleles per locus (13.1), and Polymorphism Information Content (PIC) of 0.60, reflecting the level of diversity in the landrace accessions. Besides identification of 174 unique alleles in 44 accessions, six highly frequent SSR alleles were detected at six loci (phi014, phi090, phi112, umc1367, phi062 and umc1266) with individual frequencies greater than 0.75, indicating that chromosomal regions harboring these SSR alleles are not selectively neutral. F statistics revealed very high genetic differentiation, population subdivision and varying levels of inbreeding in the landraces. Analysis of Molecular Variance showed that 63 % of the total variation in the accessions could be attributed to within-population diversity, and 37 % represented between population diversity. Cluster analysis of SSR data using Nei’s genetic distance and UPGMA revealed considerable genetic diversity in these populations, although no clear separation of accessions was observed based on their geographic origin.     

Analysis of Genetic Diversity in the North Eastern Himalayan Maize Landraces using Microsatellite Markers

Population DNA fingerprinting of 48 selected North Eastern Himalayan (NEH) landrace accessions was undertaken using 41 polymorphic fluorescent dye-labelled microsatellite/Simple Sequence Repeat (SSR) markers, using a DNA Sequencer. The analysis revealed a large number of SSR alleles (576), with high mean number of alleles per locus (13.8), and Polymorphism Information Content (PIC) of 0.63, reflecting the level of diversity in the NEH accessions and the informativeness of the SSR markers. The study also led to identification of 135 unique alleles, differentiating 44 out of the 48 accessions. Five highly frequent (major) SSR alleles (umc1545 _80bp, phi062 _162bp, umc1367 _159bp, umc2250 _152bp and phi112 _152bp) were detected indicating that chromosomal regions harbouring these S SR alleles might not be selectively neutral. Analysis of population genetic parameters, including Wright’s F statistics, revealed high level of genetic differentiation, very low levels of inbreeding, and restricted gene flow between the NEH landraces. AMOVA (Analysis of Molecular Variance) showed that 67 per cent of the total variation in the accessions could be attributed to within-population diversity, and the rest between the accessions. Cluster analysis of SSR data using Rogers’ genetic distance and UPGMA, showed significant genetic diversity among the landraces from Sikkim. This is the first detailed study of SSR allele frequency-based analysis of genetic diversity in the NEH maize landraces of India.     

Mapping quantitative trait loci for important agronomic traits in finger millet (<Emphasis Type="Italic">Eleusine coracana</Emphasis>) mini core collection with genomic and genic SSR markers

Allele identification for agro-morphological traits and stress resistance is a major concern across the globe for improving productivity of finger millet. Here, we used 46 genomic and 58 genic simple sequence repeats (SSRs) markers in a set of 66 accessions used to constitute a global mini-core collection for analysing their genetic structure as a population and establishing association among markers and twenty morphological traits including resistance to finger blast. Phenotypic data revealed a wide range of variation for all traits except flag leaf width and flag leaf sheath width. We got amplification of 81 alleles by the 31 genomic SSRs at an average of 2.61 alleles per locus. Polymorphism information content (PIC) values varied from 0.21 to 0.75 and average gene diversity was 0.49. Structure analysis of the population using the genomic SSR data divided the accessions into two clusters where Indian and exotic accessions were grouped in separate clusters. Genic SSRs which were associated with blast resistance genes, amplified 36 alleles at an average of 2 alleles per locus. PIC values ranged from 0.32 to 0.37 and average gene diversity was 0.45. Population structure analysis using data from these SSRs grouped the accessions into three clusters, which broadly correspond to their reaction to blast disease. Twenty-two significant associations were found using the GLM approach for 20 agro-morphological traits both in 2012 and 2014, while, 7 and 5 significant marker-trait associations were identified using MLM in 2012 and 2014 respectively. The SSR markers FMBLEST35 and FMBLEST36 designed from the Pi21 gene sequence of rice were found to be associated with blast disease resistance in finger millet indicating that the gene homologues play a significant role in an important role for neck blast resistance.     

First Records on Genetic Diversity and Population Structure of Algerian Peanut (Arachis hypogaea) Using Microsatellite Markers

Peanut (Arachis hypogaea L) is one of the wide cultivated plants with a narrow genetic base, hence the interest in prospecting, rescuing, and characterizing germplasm of this species is continuously carried out. In this work, eleven microsatellite markers were used to assess the genetic diversity and population structure of 68 Algerian peanut accessions originated from four geographic regions in the north and south of Algeria. A total of 83 alleles were amplified with a mean number of 7.545 alleles per locus and polymorphic information content (PIC) ranged from 0.625 to 0.874. The observed and expected heterozygosity varied from 0.31 to 1.00 and from 0.61 to 0.84 with a mean of 0.704 and 0.732, respectively. Genetic structure analysis showed a strong population at K?=?2, separating accessions according to their subspecies affiliation (hypogeae ssp. and fastigiata ssp.). It was also able to quantify the genetic correlations between genotypes using principal component analysis (PCA) and the method of groups of unweighted pairings with arithmetic means (UPGMA). Analysis of molecular variance (AMOVA) revealed high genetic variation within individuals (90.7%) and low genetic differentiation between subspecies (10.3%) and among populations (8.9%) from different geographical origin. Genetic diversity analysis in this study provides useful information for the exploration and utilization of these peanut cultivars.

     

Interspecies and intergenus transferability of barley and wheat D-genome microsatellite markers

A selection of 147 wheat D-genome and 130 barley genomic simple sequence repeat (gSSR) markers were screened for their utility in Hordeum chilense, as an alien donor genome for cereal breeding. Fifty-eight wheat D-genome and 71 barley PCR primer pairs consistently amplified products from H. chilense. Nineteen wheat D-genome and 20 barley gSSR markers were polymorphic and allowed wide genome coverage of the H. chilense genome. Twenty-three of the wheat D-genome and 11 barley PCR primer pairs were suitable for studying the introgressions of H. chilense into wheat, amplifying H. chilense products of distinct size. In 88% of the markers tested, H. chilense products were maintained in the expected homeologous linkage group, as revealed by the analysis of wheat/H. chilense addition lines. Twenty-nine microsatellite markers (eight gSSRs and 21 expressed sequence tags-SSRs) uniformly distributed across the genome were tested for their utility in genetic diversity analysis within the species. Three genetic clusters are reported, in accordance with previous morphological and amplified fragment length polymorphism data. These results show that it is possible to discriminate the three previously established germplasm groups with microsatellite markers. The reported markers represent a valuable resource for the genetic characterisation of H. chilense, for the analysis of its genetic variability, and as a tool for wheat introgression. This is the first intraspecific study in a collection of H. chilense germplasm using microsatellite markers.     

Quantitative structure analysis of genetic diversity among spring bread wheats (<Emphasis Type="Italic">Triticum aestivum</Emphasis> L.) from different geographical regions

Genetic diversity in spring bread wheat (T.␣aestivum L.) was studied in a total of 69 accessions. For this purpose, 52 microsatellite (SSR) markers were used and a total of 406 alleles were detected, of which 182 (44.8%) occurred at a frequency of <5% (rare alleles). The number of alleles per locus ranged from 2 to 14 with an average of 7.81. The largest number of alleles per locus occurred in the B genome (8.65) as␣compared to the A (8.43) and D (5.93) genomes, respectively. The polymorphism index content (PIC) value varied from 0.24 to 0.89 with an average of 0.68. The highest PIC for all accessions was found in the B␣genome (0.71) as compared to the A (0.68) and D␣genomes (0.63). Genetic distance-based method (standard UPGMA clustering) and a model-based method (structure analysis) were used for cluster analysis. The two methods led to analogical results. Analysis of molecular variance (AMOVA) showed that 80.6% of the total variation could be explained by the variance within the geographical groups. In comparison to the diversity detected for all accessions (H _e = 0.68), genetic diversity among European spring bread wheats was H _e = 0.65. A comparatively higher diversity was observed between wheat varieties from Southern European countries (Austria/Switzerland, Portugal/Spain) corresponding to those from other regions.     

Genetic diversity assessment in greek Medicago truncatula genotypes using microsatellite markers

In this study we examined the genetic diversity and geographic scale of genotype distribution within the model legume species Medicago truncatula widely distributed in pasture and marginal agricultural lands in Greece and other Mediterranean countries. Thirty one Medicago truncatula and Medicago littorialis accessions were chosen on the basis of their geographical distributions and studied using 9 polymorphic simple sequence repeats (SSR) markers. The number of alleles per locus varied between 3 and 7. A total of 42 alleles were detected with a mean value of 4.66 alleles per locus. Geographic origin was not related with genotypic similarity among accessions. However, there were instances of close genetic relatedness between accessions from neighboring locations in a geographic compartment. In conclusion, the presented data revealed extensive M. truncatula genotype dispersal in Greece pointing to the significance of preserving local genetic resources in their natural environment.