Quantitative and molecular analyses reveal a deep genetic divergence between the ancient medicinal rice (Oryza sativa) Njavara and syntopic traditional cultivars

We analysed 76 accessions of the medicinal and nutritive rice (Oryza sativa) landrace Njavara (Shashtika in Sanskrit) and 67 traditional cultivars of Kerala state using phenotypic traits and microsatellite markers. Multivariate analyses of 13 quantitative phenotypic traits revealed two distinct clusters, the Njavara accessions and the traditional cultivars (Qst = 0.4753). Njavara accessions belonging to the same morphotype were clustered together, although no specific pattern could be deciphered from the clustering of traditional cultivars. A total of 222 alleles were generated at the 24 microsatellite loci, with a mean number of 4.42 and 6.623 alleles per locus and a mean gene diversity (He) of 0.479 and 0.596 in Njavara and traditional cultivars, respectively. Different diversity analyses clearly separated Njavara and traditional cultivars from each other. As with the phenotypic analysis, Njavara accessions clustered according to their morphotypes, but the topology of the two dendrograms were different. However, the clustering pattern of traditional cultivars in genotypic dendrogram was inconsistent with that of phenotypic dendrogram. The scented rice cultivars formed a distinct cluster while the remaining traditional cultivars were clustered according to their photosensitivity. Significant (P < 0.0000) partitioning of molecular diversity was recorded between Njavara and traditional cultivars (Fst = 0.4293), within Njavara types (Fst = 0.5616) and traditional cultivars (Fst = 0.2546). The results indicate that Njavara is a cryptic variant within the traditional rice gene pool in Kerala. The study provided valuable information on the genetic structure and population differentiation of traditional rice cultivars in Kerala, which are relevant in breeding and conservation.     

Genetic diversity and relationship of global faba bean (<Emphasis Type="Italic">Vicia faba</Emphasis> L.) germplasm revealed by ISSR markers

Genetic diversity and relationships of 802 faba bean (Vicia faba L.) landraces and varieties from different geographical locations of China and abroad were examined using ISSR markers. A total of 212 repeatable amplified bands were generated with 11 ISSR primers, of which 209 were polymorphic. Accessions from North China showed highest genetic diversity, while accessions from central China showed low level of diversity. Chinese spring faba bean germplasm was clearly separated from Chinese winter faba bean, based on principal component analysis and UPGMA clustering analysis. Winter accessions from Zhejiang (East China), Jiangxi (East China), Sichuan (Southwest China) and Guizhou (Southwest China) were quite distinct to that from other provinces in China. Great differentiation between Chinese accessions and those from rest of the world was shown with a UPGMA dendrogram. AMOVA analyses demonstrated large variation and differentiation within and among groups of accessions from China. As a continental geographic group, accessions from Europe were genetically closer to those from North Africa. Based on ISSR data, grouping results of accessions from Asia, Europe and Africa were obviously associated with their geographical origin. The overall results indicated that the genetic relationship of faba bean germplasm was closely associated with their geographical origin and their ecological habit.     

RAPD Variation Among North Vietnamese <Emphasis Type="Italic">Flemingia macrophylla</Emphasis> (Willd.) Kuntze ex Merr. accessions

Flemingia macrophylla (Willd.) Kuntze ex Merr., a multi-purpose legume with potential as dry-season forage crop, mainly occurs in subhumid to humid environments of tropical and subtropical Asia. Despite increasing interest in conservation of germplasm suitable for low-input production systems information on the genetic diversity of F. macrophylla is extremely scarce. The creation of baseline data is supposed to contribute to more efficient conservation management and to identify collecting strategies of novel germplasm. Random amplified polymorphic (RAPD) markers were used to investigate the genetic variation among 37 F. macrophylla accessions. Germplasm analysed in this study originated from Bac Kan province, Northeast Vietnam. Eight primers generated a total of 47 amplified RAPD loci of which 38 were polymorphic. Jaccard’s similarity coefficients among accessions ranged from 0.069 to 1 with a mean of 0.67. The UPGMA dendrogram revealed three clusters along with three outliers. No correspondence between geographic and genetic distance was found (Mantel test: R = 0.21; P = 0.016). Analysis of molecular variance (AMOVA) revealed significant (P < 0.001) differentiation between accessions collected in lowland and upland regions. Results of UPGMA clustering were confirmed by the pattern of principle coordinates analysis (PCO) plotting. Future collecting strategies should target populations at large distances and along the altitudinal range. Ex situ conservation should encompass those accessions that showed genetic divergence. In situ conservation may consist of establishing a system of interconnected population fragments to guarantee continuing genetic exchange via corridors and of rehabilitating degraded habitats.     

Inter-simple sequence repeat (ISSR) amplification for analysis of microsatellite motif frequency and fingerprinting in rice (Oryza sativa L.)

 Inter-simple sequence repeat (ISSR) amplification was used to analyze microsatellite motif frequency in the rice genome and to evaluate genetic diversity among rice cultivars. A total of 32 primers, containing different simple sequence repeat (SSR) motifs, were tested for amplification on a panel of 59 varieties, representative of the diversity of cultivated rice (Oryza sativa L.). The ISSR analysis provided insights into the organization, frequency and levels of polymorphism of different simple sequence repeats in rice. The more common dinucleotide motifs were more amenable to ISSR analysis than the more infrequent tri-, tetra- and penta-nucleotide motifs. The ISSR results suggested that within the dinucleotide class, the poly(GA) motif was more common than the poly(GT) motif and that the frequency and clustering of specific tri- and tetra-nucleotide simple sequence repeats was variable and motif-specific. Furthermore, trinucleotide ISSR markers were found to be less polymorphic than either dinucleotide or certain tetranucleotide ISSR markers, suggesting which motifs would be better targets for microsatellite marker development. The ISSR amplification pattern was used to group the rice genotypes by cluster analysis. These results were compared to surveys of the same varieties for amplified fragment length polymorphism (AFLP), restriction fragment length polymorphism (RFLP) and isozyme markers. The ISSR fingerprint could be used to differentiate the genotypes belonging to either Japonica or Indica sub species of cultivated rice and to dissect finer levels of diversity within each subspecies. A higher percentage of polymorphic bands was produced with the ISSR technique than the AFLP method, based on a similar PCR reaction. Therefore, ISSR amplification proved to be a valuable method for determining genetic variability among rice varieties and for rapidly identifying cultivars. This efficient genetic fingerprinting technique would be useful for characterizing the large numbers of rice accessions held in national and international germplasm centers. Received: 25 May 1998 / Accepted: 17 September 1998     

Molecular diversity and genetic relationships among Sri Lankan pomegranate Punica granatum landraces assessed with inter simple sequence repeat (ISSR) regions

Pomegranate Punica granatum was first introduced to Sri Lanka, possibly through ancient trade routes, thousands of years ago. However, there is no information about the diversity of the pomegranate germplasm in the country, which is important both for breeding new varieties and for conservation efforts. We used inter‐simple sequence repeat (ISSR) regions to investigate the genetic diversity and population structure of pomegranate on the island of Sri Lanka. Hundred and twenty accessions representing seven populations from all pomegranate growing regions of the country were analyzed using 20 ISSR primers. A total of 107 loci were amplified with an average polymorphism information content of 0.3. While the average inter‐population genetic distance was 0.141, it was 0.149 between populations, indicating moderate genetic diversity both within and among populations. Analysis of molecular variance and Nei's genetic diversity revealed higher genetic variation within populations than among populations, and low genetic differentiation (G_ST) in pair‐wise comparison of populations also suggested limited population differentiation. A considerable level of among‐population gene flow (Nm) was indicated, irrespective of geographical structure and distances. The results of cluster analysis was also in agreement with above analysis and suggest human mediated gene flow and migration patterns. Cluster analysis revealed two main population clusters with several sub‐clusters. While these clusters did not show any correlation with geography, all red peeled accessions clustered into a small sub‐cluster. The results indicate that analysis of ISSR variability is sufficiently informative and powerful to assess the genetic diversity of P. granatum landraces in Sri Lanka.     

AFLP assessment of genetic variability among velvetbean (Mucuna sp.) accessions

Velvetbean (Mucuna sp.) is a self-pollinated crop classified within the Leguminosae. Using AFLP markers, gene diversity and phenetic relationships were estimated in a collection of 40 velvetbean accessions from cultivated species and different eco-geographic regions. Eleven selective primer combinations generated a total of 508 amplification products. The average number of scorable fragments was 23 per primer combination. A total of 251 polymorphic markers was detected. The polymorphisms obtained ranged from 36% to 61% with an average of 49%. The final phenetic trees were constructed using Nei and Li’s coefficient of similarity with UPGMA. Other clustering algorithms were examined and all had high co-phenetic correlations, indicating the goodness of fit for the resulting phylogenetic trees. The phenetic tree as well as principal component analysis (PCA) separated the 40 velvetbean accessions into two main clusters. Bootstrap and Jackknife analyses were completed and their values indicated strong to moderate support for the two main clusters. This grouping confirmed the existing phenological difference with regard to maturity. The high values of the similarity coefficients observed (0.87 to 0.97) imply that the accessions used in this study are similar. The level of genetic variability detected within the velvetbean accessions with AFLP analysis suggests that it is a reliable, efficient, and effective marker technology for determining genetic relationships in velvetbean. Received: 19 June 2000 / Accepted: 1 March 2001     

Single-seeded InDel fingerprints in rice:An effective tool for indica-japonica rice classification and evolutionary studies

Asian cultivated rice(Oryza sativa L.),an important cereal crop worldwide,was domesticated from its wild ancestor 8000 years ago.During its long-term cultivation and evolution under diverse agroecological conditions, Asian cultivated rice has differentiated into indica and japonica subspecies.An effective method is required to identify rice germplasm for its indica and japonica features,which is essential in rice genetic improvements.We developed a protocol that combined DNA extraction from a single rice seed and the insertion/deletion(InDel) molecular fingerprint to determine the indica and japonica features of rice germplasm.We analyzed a set of rice germplasm,including 166 Asian rice varieties,two African rice varieties,30 accessions of wild rice species,and 42 weedy rice accessions,using the single-seeded InDel fingerprints(SSIF).The results show that the SSIF method can efficiently determine the indica and japonica features of the rice germplasm.Further analyses revealed significant indica and japonica differentiation in most Asian rice varieties and weedy rice accessions.In contrast,African rice varieties and nearly all the wild rice accessions did not exhibit such differentiation.The pattern of cultivated and wild rice samples illustrated by the SSIF supports our previous hypothesis that indica and japonica differentiation occurred after rice domestication under different agroecological conditions.In addition,the divergent pattern of rice cultivars and weedy rice accessions suggests the possibility of an endoferal origin(from crop)of the weedy rice included in the present study.     

Microsatellite markers reveal multiple origins for Italian weedy rice

Weedy rice (Oryza sativa L.) is one of the major issues of rice cultivation worldwide. In Italy, it infests about 70% of the total rice area. Different Weedy Rice populations can be distinguished based on variable morphological and physiological traits; however, little is known about genetic differentiation and origin of Italian weedy rice populations. The objective of this study was to genetically and morphologically characterize and compare different Italian weedy rice populations selected on the basis of different phenotypes. The main Italian rice territory was divided into 10 geographical areas in which 40 weedy rice populations were collected and grouped according to the awn traits. All the individuals of the populations were morphologically characterized according to plant and seed traits. Genetic characterization was performed using 19 SSR markers on all the collected accessions, and several rice cultivars, including some very old (late 19th century), nowadays are no longer cultivated. ANOVA showed that morphological plant and seed traits were significantly affected by the collection area and awnedness group. The importance of the awn morphology was also reflected in the Bayesian clustering where, despite a relatively low genetic diversity, the clusters displayed different awn types. An UPGMA dendrogram confirmed the clusters detected in STRUCTURE analysis and also revealed a grouping of certain old cultivars with the weedy rice, suggesting a common origin.     

Identification of genetically diverse genotypes for photoperiod insensitivity in soybean using RAPD markers

Most of the Indian soybean varieties were found to be highly sensitive to photoperiod, which limits their cultivation in only localized area. Identification of genetically diverse source of photoperiod insensitive would help to broaden the genetic base for this trait. Present study was undertaken with RAPD markers for genetic diversity estimation in 44 accessions of soybean differing in response to photoperiod sensitivity. The selected twenty-five RAPD primers produced a total of 199 amplicons, which generated 89.9 % polymorphism. The number of amplification products ranged from 2 to 13 for different primers. The polymorphism information content ranged from 0.0 for monomorphic loci to 0.5 with an average of 0.289. Genetic diversity between pairs of genotypes was 37.7% with a range of 3.9 to 71.6%. UPGMA cluster analysis placed all the accessions of soybean into four major clusters. No discernable geographical patterns were observed in clustering however; the smaller groups corresponded well with pedigree. Mantel’s test (r = 0.915) indicates very good fit for clustering pattern. Two genotypes, MACS 330 and 111/2/1939 made a very divergent group from other accessions of soybean and highly photoperiod insensitive that may be potential source for broadening the genetic base of soybean for this trait.Key words: Genetic diversity, Photoperiod, RAPD, Soybean, UPGMA     

Genetic characterization of Iranian safflower (Carthamus tinctorius) using inter simple sequence repeats (ISSR) markers

Safflower (Carthamus tinctorious L.) is valued as a source of high quality vegetable oil. 20 ISSR primers were used to assess the genetic diversity of 18 accessions of safflower collected from different geographical regions of Iran. The ISSR primers combinations revealed 57.6 % polymorphism, among 338 genetic loci amplified from the accessions. The sum of effective number of alleles and observed number of alleles were 29.76 and 36.77, respectively. To understand genetic relationships among these cultivars, Jacquards’ similarity coefficient and UPGMA clustering algorithm were applied to the ISSR marker data set. ISSR markers grouped accessions into two main clusters and four sub clusters. Also, the principal coordinate analysis (PCoA) supported the cluster analysis results. The results showed these genotypes have high genetic diversity, and can be used for alternative safflower breeding program.     

Genetic analysis of Indian aromatic and quality rice (<Emphasis Type="Italic">Oryza sativa</Emphasis> L.) germplasm using panels of fluorescently-labeled microsatellite markers

Genetic relationships among Indian aromatic and quality rice (Oryza sativa) germplasm were assessed using 30 fluorescently labeled rice microsatellite markers. The 69 rice genotypes used in this study included 52 Basmati and other scented/quality rice varieties from different parts of India and 17 indica and japonica varieties that served as controls. A total of 235 alleles were detected at the 30 simple sequence repeat (SSR) loci, 62 (26.4%) of which were present only in Basmati and other scented/quality rice germplasm accessions. The number of alleles per locus ranged from 3 to 22, with an average of 7.8, polymorphism information content (PIC) values ranged from 0.2 to 0.9, with an average of 0.6, and the size range between the smallest and the largest allele for a given microsatellite locus varied between 3 bp and 68 bp. Of the 30 SSR markers, 20 could distinguish traditional Basmati rice varieties, and a single panel of eight markers could be used to differentiate the premium traditional Basmati, cross-bred Basmati, and non-Basmati rice varieties having different commercial value in the marketplace. When estimates of inferred ancestry or similarity coefficients were used to cluster varieties, the high-quality Indian aromatic and quality rice genotypes could be distinguished from both indica and japonica cultivars, and crossbred varieties could be distinguished from traditional Basmati rices. The results indicate that Indian aromatic and quality germplasm is genetically distinct from other groups within O. sativa and is the product of a long, independent pattern of evolution. The data also suggest that there is scope for exploiting the genetic diversity of aromatic/quality rice germplasm available in India for national Basmati rice breeding programs.Electronic Supplementary Material Supplementary material is available for this article at .     

Molecular characterization of Jatropha genetic resources through inter-simple sequence repeat (ISSR) markers

The genetic diversity among eight Jatropha species and three Jatropha curcas accessions were analyzed using ISSR-PCR. Nine ISSR primers generated reproducible amplification banding pattern of 61 polymorphic bands out of 64 scored accounting for 98.14% polymorphism across the species. The ISSR primers viz., I1, I2, I3, I4, I5, I6, I7 and I10 generated 100% polymorphic patterns. Jaccard’s coefficient of similarity varied from 0.346 to 0.807, indicative of high level of genetic variation among the genotypes studied. The UPGMA cluster analysis indicated three distinct clusters, one comprising all accessions of J. curcas L (TNMJ1, TNMJ 22 and TNMJ 23), while second included four species viz., J. tanjorensis J. L. Ellis et Saroja., J. gossypifolia L., J. podagrica Hook and J. maheshwarii Subrum and M.P. Nayer and the third cluster included another four species viz., J. villosa Wight J. multifida L., J. integerrima Jacq and J. glandulifera Roxb. The overall grouping pattern of clustering corresponds well with principal component analysis (PCA) confirming patterns of genetic diversity observed among the species. So far, there are no reports on the molecular diversity of the Jatropha species through ISSR marker. This study provides valid guidelines for collection, conservation and characterization of Jatropha genetic resources and also for further breeding programme towards biodiesel production.     

Analysis of the genetic diversity of physic nut, <Emphasis Type="Italic">Jatropha curcas</Emphasis> L. accessions using RAPD markers

A sum of 48 accessions of physic nut, Jatropha curcas L. were analyzed to determine the genetic diversity and association between geographical origin using RAPD-PCR markers. Eight primers generated a total of 92 fragments with an average of 11.5 amplicons per primer. Polymorphism percentages of J. curcas accessions for Selangor, Kelantan, and Terengganu states were 80.4, 50.0, and 58.7%, respectively, with an average of 63.04%. Jaccard’s genetic similarity co-efficient indicated the high level of genetic variation among the accessions which ranged between 0.06 and 0.81. According to UPGMA dendrogram, 48 J. curcas accessions were grouped into four major clusters at coefficient level 0.3 and accessions from same and near states or regions were found to be grouped together according to their geographical origin. Coefficient of genetic differentiation (G_st) value of J. curcas revealed that it is an outcrossing species.     

Evaluation of bamboo genetic diversity using morphological and SRAP analyses

Bamboo is an important member of the giant grass subfamily Bambusoideae of Poaceae. In this study, 13 bamboo accessions belonging to 5 different genera were subjected to morphological evaluation and sequence-related amplified polymorphism (SRAP) analysis. Unweighted pair-group method of arithmetic averages (UPGMA) cluster analysis was used to construct a dendrogram and to estimate the genetic distances among accessions. On the basis of morphological characteristics, the 13 accessions were distinctly classified into 2 major clusters; 3 varieties, PPYX, PGNK, and PLYY were grouped as cluster A, and 10 accessions were categorized under cluster B. Similarity coefficients ranging from 0.23 to 0.96 indicated abundant genetic variation among bamboo varieties. Approximately 38 SRAP primer combinations generated 186 bands, with 150 bands (80.65%) showing polymorphisms among the 13 accessions. Based on SRAP analysis, 13 bamboo accessions were grouped into 3 major clusters. Five species comprised Cluster I (PASL, PLYY, PTSC, SCNK, and BMAK), which belongs to genus Phyllostachys. Cluster II consisted of 5 varieties, PASL, PLYY, PTSC, SCNK, and BMAK; Cluster III included 3 varieties, PGNK, PLSY, and BMRS. Comparison of the results generated by morphological and SRAP analyses showed that the classification based on SRAP markers was more concordant to the taxonomic results of Gamble than that performed using morphological characters, thus suggesting that SRAP analysis is more efficient in evaluating genetic diversity in bamboos compared to morphological analysis. The SRAP technique serves as an alternative method in assessing genetic diversity within bamboo collections.     

Assessment of genetic diversity among and within Achillea species using amplified fragment length polymorphism (AFLP)

Amplified fragment length polymorphism (AFLP) markers were used to assess the genetic diversity of 57 Achillea accessions belonging to five species, A. millefolium, A. filipendulina, A. tenuifolia, A. santolina and A. biebersteinii. Nine AFLP primer combinations were used, which produced 301 polymorphic bands. In most species, a high level of genetic variation was detected among the genotypes. The Jaccard's similarity indices (J), based on AFLP profiles, were subjected to UPGMA cluster analysis. Application of Mantel's test for cophenetic correlation to the cluster analysis indicated the high fitness of the accessions to a group (r = 0.918). The dendrogram generated revealed five major groups corresponding to five species. The principle coordinate analysis (PCoA) data confirmed the results of the clustering. Among the species, A. teunifolia and A. santolina showed the greatest and the least genetic diversity, respectively. A. filipendulina accessions were acquired primarily from the same ecological regions of western Iran. Accessions belonging to A. biebersteinii originated from the Isfahan province and were separated from other species at the root of the dendrogram. The results of the clustering method, based on AFLP markers, corresponded closely with the geographical origins of the genotypes. The results of the present study could contribute to a better understanding and management of conservation and exploitation of the Achillea germplasm.     

Genetic diversity within Oryza rufipogon germplasms preserved in Chinese field gene banks of wild rice as revealed by microsatellite markers

Nineteen microsatellite markers were employed to evaluate the genetic diversity of 92 accessions of common wild rice Oryza rufipogon Griff., which represent a significant portion of the distribution range from field gene banks of China. In comparison, a total of 57 varieties from most of the rice growing areas in China were also analyzed. The microsatellite analysis revealed a considerable amount of genetic diversity resided within the preserved wild rice germplasms. In all, the nineteen microsatellites revealed 328 alleles. The number of alleles per locus varied widely among these markers, ranging from 6 at RM242 to 30 at RM206. A comparison of the genetic parameters showed that wild rice strains preserved in the field gene banks (na = 17.27; R _S = 15.66; H _S = 0.86; H _T = 0.852; H _O = 0.307) possess much higher genetic diversity than cultivated rice varieties (na = 8.27; R _S = 8.14; H _S = 0.75; H _T = 0.758; H _O = 0.051). A total of 196 alleles detected in the wild rice could not be found in cultivated rice, suggesting that about 60% of the alleles of wild rice might be lost during the process of rice domestication. This result shows that these ex situ preserved wild rice strains are of great importance for the discovery and utilization of novel genes in the future rice breeding practices. Considerably abundant genetic variability detected within the studied wild rice germplasms could be comparable to that previously found in a wide sampling of 47 natural populations (na = 16.17; H _S = 0.67; H _O = 0.229), demonstrating that developing field gene banks of wild rice is a necessary and efficient way for preserving genetic diversity of wild rice resources. To determine minimum microsatellites that could distinguish these wild rice accessions, the phylogenetic trees constructed by means of the combinations of different microsatellites suggested that the five highly polymorphic microsatellites could clearly identify these samples. High polymorphisms of rice microsatellite loci and their great resolving power will be particularly helpful for germplasm evaluation and evolutionary studies for better strengthening the conservation and utilization of genetic diversity of wild rice in the field gene banks.     

Molecular Characterization of Primary Gene Pool of Chickpea Based on ISSR Markers

Genetic diversity and relationships within and among members of the primary gene pool of chickpea, including 38 accessions of Cicer arietinum, six of C. reticulatum,, and four of C. echinospermum, were investigated using 31 ISSR markers. The study revealed moderate diversity, detecting 141 fragments, of which 79 (56%) were polymorphic. Averages were 0.125 for polymorphic information content, 0.350 for marker index, and 0.715 for resolving power. The UPGMA dendrogram and the principal coordinate analysis revealed a clear differentiation between wild and cultivated accessions. The clustering pattern did not strictly follow the grouping of accessions by geographic origin but was in good agreement with the pedigree data and the seed type. The study demonstrates that ISSRs provide promising marker tools in revealing genetic diversity and relationships in chickpea and can contribute to efficient identification, conservation, and utilization of germplasm for plant improvement through conventional as well as molecular breeding approaches.     

Genetic differentiation of wild relatives of rice as assessed by RFLP analysis

To study genetic diversity and relationships of wild relatives of rice, 58 accessions of Oryza rufipogon, Oryza nivara, Oryza sativa f. spontanea and the cultivated Oryza sativa, representing a wide range of their distribution, were analyzed using the restriction fragment length polymorphism (RFLP) technique. All 30-used RFLP probes detected polymorphisms among the Oryza accessions, with an average of 3.8 polymorphic fragments per probe. Considerable genetic diversity was scored among the Oryza accessions with a similarity coefficient ranging from 0.28 to 0.93; but the cluster analysis of the accessions did not show an apparent grouping based on the species classification, instead they were scattered randomly in different groups. Noticeably, the Oryza accessions from the same geographic region, or near-by geographic regions, tended to be clustered in the same groups. The indica rice varieties showed relatively high genetic diversity and were scattered in different groups of their wild relatives, but the japonica varieties showed a relatively low variation and formed an independent group. It is concluded from the molecular analytical result that: (1) the four Oryza taxa have a remarkably close relationship and their independent species status need to be carefully reviewed; (2) geographic isolation has played a significant role in the differentiation of the Oryza accessions; therefore, a wide geographic range needs to be covered in collecting wild rice germplasm for ex situ conservation; and (3) the conventional conclusion of indica rice being directly domesticated from its ancestral wild species, and japonica rice being derived from indica, gains support from our data.     

Using minimum DNA marker loci for accurate population classification in rice (Oryza sativa L.)

Because of the rich diversity among rice accessions grown around the world in distinct environments, traditional methods using morphology, cross compatibility and geography for classifying rice accessions according to different sub-populations have given way to use of molecular markers. Having a few robust markers that can quickly assign population structure to germplasm will facilitate making more informed choices about genetic diversity within seedbanks and breeding genepools. WHICHLOCI is a computer program that selects the best combination of loci for population assignment through empirical analysis of molecular marker data. This program has been used in surveys of plant species, for fish population assignment, and in human ancestry analysis. Using WHICHLOCI, we ranked the discriminatory power of 72 DNA markers used to genotype 1,604 accessions of the USDA rice core collection, and developed panels with a minimum number of markers for population assignment with 99% or higher accuracy. A total of 14 markers with high discriminatory power, genetic diversity, allelic frequency, and polymorphic information content were identified. A panel of just four markers, RM551, RM11, RM224 and RM44, was effective in assigning germplasm accessions to any of five sub-populations with 99.4% accuracy. Panels using only three markers were effective for assignment of rice germplasm to specific sub-populations, tropical japonica, temperate japonica, indica, aus, and aromatic. Assignment to tropical japonica, temperate japonica, or indica sub-populations was highly reliable using 3–4 markers, demonstrated by the high correlation with assignment using 72 markers. However, population assignment to aus and aromatic groups was less reliable, possibly due to the smaller representation of this material in the USDA core collection. More reference cultivars may be needed to improve population assignment to these two groups. This study demonstrated that a small number of DNA markers is effective for classification of germplasm into five sub-populations in rice. This will facilitate rapid screening of large rice germplasm banks for population assignment at a modest cost. The resulting information will be valuable to researchers to verify population classification of germplasm prior to initiating genetic studies, maximizing genetic diversity between sub-populations, or minimizing cross incompatibility while maximizing allelic diversity within specific sub-populations.     

Analysis of genetic diversity and population structure of rice cultivars from Korea, China and Japan using SSR markers

A total of 29 simple sequence repeat (SSR) markers were used to analyze the genetic diversity of 150 accessions of cultivated rice (Oryza sativa L.) from Korea, China, and Japan. A total of 375 alleles were detected with an average of 12.9 per locus. The averaged values of gene diversity and polymorphism information content (PIC) for each SSR locus were 0.7001 and 0.6683, respectively. Alleles per locus in Korean rice were 8.8, whereas 8.1 and 7.2 alleles per locus were found in Chinese and Japanese rice, respectively. The mean gene diversity in Korean, Chinese, and Japanese rice was 0.6058, 0.6457, and 0.5174, respectively, whereas the mean PIC values for each SSR locus were 0.5759, 0.6138, and 0.4881, respectively. The genetic diversity of the Korean and Chinese cultivars was higher than that of the Japanese cultivars, and the genetic diversity ofjaponica was higher than that ofindica. The model-based structure analysis revealed the presence of three subpopulations, which was basically consistent with clustering based on genetic distance. An AMOVA analysis showed that the between-population component of genetic variance was less than 22% in contrast to 78% for the within-population component. The overallFST value was 0.2180, indicating a moderate differentiation among groups. The results could be used for designing effective breeding programs aimed at broadening the genetic bases of commercially grown varieties.