Assessment of genetic diversity of <Emphasis Type="Italic">Saltol</Emphasis> QTL among the rice (<Emphasis Type="Italic">Oryza sativa</Emphasis> L.) genotypes

Eight Saltol quantitative trait locus (QTL) linked simple sequence repeat (SSR) markers of rice (Oryza sativa L.) were used to study the polymorphism of this QTL in 142 diverse rice genotypes that comprised salt tolerant as well as sensitive genotypes. The SSR profiles of the eight markers generated 99 alleles including 20rare alleles and 16 null alleles. RM8094 showed the highest number (13) of alleles followed by RM3412 (12), RM562 (11), RM493 (9) and RM1287 (8) while as, RM10764 and RM10745 showed the lowest number (6) of alleles. Based on the highest number of alleles and PIC value (0.991), we identified RM8094 as suitable marker for discerning salt tolerant genotypes from the sensitive ones. Based upon the haplotype analysis using FL478 as a reference (salt tolerant genotypes containing Saltol QTL), we short listed 68 rice genotypes that may have at least one allele of FL478 haplotype. Further study may confirm that some of these genotypes might have Saltol QTL and can be used as alternative donors in salt tolerant rice breeding programmes.     

Population structure and genetic diversity analysis of Indian and exotic rice (Oryza sativa L.) accessions using SSR markers

In order to understand the population structure and genetic diversity among a set of 82 rice genotypes collected from different parts of the Asian countries including India were characterized using 39 microsatellite loci. The Population structure analysis suggested that the optimum number of subpopulations was four (K = 4) among the rice genotypes, whereas phylogenetic analysis grouped them into three populations. The results obtained from phylogenetic and STRUCTURE analysis proved to be very powerful for the differentiation of rice genotypes based on their place of origin. The genetic diversity analysis using 39 SSR loci yielded 183 scorable alleles, out of which 182 alleles were observed to be polymorphic with an average of 4.8 alleles per locus. The Polymorphism Information Content (PIC) values for all the polymorphic primers across 82 rice genotypes varied from 0.02 to 0.77, with an average of 0.50. Gene diversity (He) was found to be in the range of 0.02 (RM484) to 0.80 (OSR13) with an average value of 0.55, while heterozygosity (Ho) was observed with an average of 0.07, ranging from 0.01 (RM334) to 0.31 (RM316). The present study resulted in identification of seven highly polymorphic SSR loci viz., OSR13, RM152, RM144, RM536, RM489, RM259 and RM271 based on the parameters like PIC value (≥0.70), gene diversity (≥0.71), and polymorphic alleles (≥6). These seven polymorphic primers can effectively be used in further molecular breeding programs and QTL mapping studies of rice since they exhibited very high polymorphism over other loci. SSR analysis resulted in a more definitive separation of clustering of genotypes indicating a higher level of efficiency of SSR markers for the accurate determination of relationships between accessions.     

Allelic Diversity Among Basmati and Non-Basmati Long-grain Indica Rice Varieties using Microsatellite Markers

Microsatellite or simple sequence repeat (SSR) marker analysis was carried out to assess allelic diversity and prepare a DNA fingerprint database of 24 rice genotypes including three premium traditional Basmati, 9 cross-bred Basmati, a local scented selection, eight indica and three japonica rice varieties. A total of 229 alleles were detected at the 50 SSR loci and 49 alleles were in fact present in only one of the 24 varieties. The size difference between the smallest and largest allele varied from 1 (RM333) to as high as 82 (RM206). Multiple alleles were observed at 13 loci. Polymorphism information content (PIC) values ranged between 0.0 (RM167) to 0.78 (RM170), with an average of 0.62 per marker. At 15 of the SSR loci, traditional and cross-bred Basmati rice varieties amplified different alleles than those in the indica andlor japonica rice varieties. A number of SSRs have been identified, which can be used to differentiate among the traditional Basmati varieties and between traditional Basmati and other cross-bred Basmati or long grain, non-Basmati rice varieties. Genetic relationships among rice genotypes as determined by UPGMA cluster analysis and three-dimensional scaling basedon Principal Component Analysis showed that the three traditional Basmati rice varieties are closely related and have varying degree of similarity with other cross-bred Basmati rice varieties. Further implications of these results in genotype identification, monitoring purity and adulteration, and plant variety protection are discussed.     

微卫星标记分析水稻地方品种30年的遗传变异

为揭示水稻(Oryza sativa)地方品种30年的遗传变异状况,文章通过60个SSR标记,对元阳哈尼梯田农户在20世纪70年代种植的6个(简称"过去的品种")和近10年间种植的对应6个(简称"当前的品种")代表性水稻地方品种进行检测。结果表明,共检测到159个等位基因(Na),等位基因数1～4不等,当前的品种较过去的品种减少7个等位基因。平均每个标记检测到的等位基因数(Na)、有效等位基因数(Ne)、基因型多样性(H′)和位点多态信息含量(PIC)4个指标均为过去的品种高于当前的品种,分别是(Na)为2.567>2.450,(Ne)为2.052>1.968,(H′)为0.768>0.722,(PIC)为0.469>0.439。基于60个SSR标记,过去6个品种间的遗传相似性系数(GS)平均值为0.437,变幅为0.117～0.667,而当前6个品种间平均值为0.473,变幅为0.200～0.700。总的说来,水稻地方品种经过30年自然和人工选择,遗传多样性降低,不同品种存在等位基因大小的差异程度不同。     

Physiological characterization and allelic diversity of selected drought tolerant traditional rice (<Emphasis Type="Italic">Oryza sativa</Emphasis> L.) landraces of Koraput,India

Water-deficit stress tolerance in rice is important for maintaining stable yield, especially under rain-fed ecosystem. After a thorough drought-tolerance screening of more than 130 rice genotypes from various regions of Koraput in our previous study, six rice landraces were selected for drought tolerance capacity. These six rice landraces were further used for detailed physiological and molecular assessment under control and simulated drought stress conditions. After imposing various levels of drought stress, leaf photosynthetic rate (P_N), photochemical efficiency of photosystem II (Fv/Fm), SPAD chlorophyll index, membrane stability index and relative water content were found comparable with the drought-tolerant check variety (N22). Compared to the drought-susceptible variety IR64, significant positive attributes and varietal differences were observed for all the above physiological parameters in drought-tolerant landraces. Genetic diversity among the studied rice landraces was assessed using 19 previously reported drought tolerance trait linked SSR markers. A total of 50 alleles with an average of 2.6 per locus were detected at the loci of the 19 markers across studied rice genotypes. The Nei’s genetic diversity (He) and the polymorphism information content (PIC) ranged from 0.0 to 0.767 and 0.0 to 0.718, respectively. Seven SSR loci, such as RM324, RM19367, RM72, RM246, RM3549, RM566 and RM515, showed the highest PIC values and are thus, useful in assessing the genetic diversity of studied rice lines for drought tolerance. Based on the result, two rice landraces (Pandkagura and Mugudi) showed the highest similarity index with tolerant check variety. However, three rice landraces (Kalajeera, Machhakanta and Haldichudi) are more diverse and showed highest genetic distance with N22. These landraces can be considered as the potential genetic resources for drought breeding program.     

云南栽培稻种SSR遗传多样性比较

采用64个SSR标记对96份云南水稻（Oryza sativa）地方品种和选育品种的遗传多样性进行比较分析。结果发现64个标记都具有多态性,共检测到741个等位基因,每个多态性位点检测到的等位基因数为2—29个,平均11．57个：Nei基因多样性指数（He）范围在0．345（RM321）-0．932（RM1）之间,平均为0．56。水稻品种的遗传多样性并非按地理位置均匀分布,而是在相似系数为0．17的水平上明显分为2个不同类群,即籼稻类群和粳稻类群,且籼粳亚种间的SSR多样性差异不明显,籼稻平均等位基因数（Ap）和Nei基因多样性指数（Ap=10．6,He=0．46）与粳稻品种（Ap=10．7,He=0．48）十分接近,可能与这些品种间存在一定频率的基因交流有关。糯稻和非糯稻在籼稻群和粳稻群中都有表现,没有特别的分布规律。云南栽培稻选育品种与地方稻亲缘关系较近,其遗传基础可能来源于云南水稻地方品种。本研究结果表明,SSR标记能较好地区分云南栽培稻品种,且云南水稻地方品种遗传多样性丰富,存在大量的优质性状可供育种实践选择。     

云南栽培稻种SSR 遗传多样性比较

采用64个SSR标记对96份云南水稻(Oryz a sativa)地方品种和选育品种的遗传多样性进行比较分析。结果发现64个标记都具有多态性, 共检测到741个等位基因, 每个多态性位点检测到的等位基因数为2-29个, 平均11.57个; Nei基因多样性指数(He)范围在0.345(RM321)-0.932(RM1)之间, 平均为0.56。水稻品种的遗传多样性并非按地理位置均匀分布, 而是在相 似系数为0.17的水平上明显分为2个不同类群, 即籼稻类群和粳稻类群, 且籼粳亚种间的SSR多样性差异不明显, 籼稻平均等位基因数(Ap)和Nei基因多样性指数(Ap=10.6, He=0.46)与粳稻品种(Ap=10.7, He=0.48)十分接近, 可能与这些品种间存在一定频率的基因交流有关。糯稻和非糯稻在籼稻群和粳稻群中都有表现, 没有特别的分布规律。云南栽培稻选育品种与地方稻亲缘关系较近, 其遗传基础可能来源于云南水稻地方品种。本研究结果表明, SSR标记能较好地区分云南栽培稻品种, 且云南水稻地方品种遗传多样性丰富, 存在大量的优质性状可供育种实践选择。     

中国东北地区水稻主要栽培品种的遗传多样性分析

利用68对SSR引物对91份粳稻品种进行了遗传多样性分析。研究结果共检测到293个等位基因,平均4．3个;平均多态信息含量（PIC）为0．313,变动范围为0．022～0．825。RM333和RM206的等住基因数最多,分别为14、10;且PIC也最高,分别为0．825、0．805。聚类和群体差异分析结果表明,东北三省水稻品种的遗传基础狭窄。黑龙江省和吉林省、黑龙江省和日本、吉林省和日本的水稻品种间遗传距离都很小．分别为0．083、0．084、0．090,而辽宁省与吉林省、黑龙江省的水稻品种遗传基础有一些差异。9个地理来源的品种聚类结果,可分为5个大类群,黑龙江省、吉林省、日本和韩国形成第Ⅰ类群;北京和辽宁省归为第Ⅱ类群;中国台湾、云南省、美国分别为第Ⅲ、第Ⅳ和第Ⅴ类群。东北三省是重要的粳稻生产基地,但遗传基础非常狭窄,要克服遗传脆弱性应从地理位置较远的国家或地区收集更丰富的遗传资源。     

Microsatellite DNA polymorphism divergence in Chinese wheat (Triticum aestivum L.) landraces highly resistant to Fusarium head blight

Genetic differences between 20 Chinese wheat (Triticum aestivum L.) landraces highly resistant to Fusarium head blight (FHB) and 4 wheat lines highly susceptible to FHB were evaluated by means of microsatellite markers, in order to select suitable parents for gene mapping studies. Thirty-nine out of 40 microsatellite markers (97.5%) were polymorphic among the 24 wheat genotypes. A total of 276 alleles were detected at the 40 microsatellite loci. The number of alleles per locus ranged from 1 to 16, with an average of 6.9 alleles. Among these microsatellite loci, the largest polymorphism information content (PIC) value was 0.914 (GWM484), while the lowest PIC value was 0 (GWM24). The mean genetic similarity index among the 24 genotypes was 0.419, ranging from 0.103 to 0.673. Clustering analysis indicated that the highly susceptible synthetic wheat line RSP was less genetically related to and more divergent from the Chinese highly resistant landraces. These results were useful in the identification of suitable parents for the development of mapping populations for tagging the FHB resistance genes among these Chinese wheat landraces.     

Assessment of genetic diversity and DNA profiling of linseed (<Emphasis Type="Italic">Linum usitatissimum</Emphasis> subsp. <Emphasis Type="Italic">usitatissimum</Emphasis> L.) germplasm using SSR markers

Access to genetic diversity is essential for any progress in adapting linseed (Linum usitatissimum subsp. usitatissimum L.) cultivation to changing environmental conditions or to the changing market needs. An attempt has been made in the present study to assess genetic diversity in 96 genotypes of linseed including varieties, landraces and exotic material. A total of 38 SSR primers amplified 153 alleles with 4.0 alleles per marker locus. The number of alleles ranged from 2 to 15 and the observed polymorphism ranged from 50 to 100%. Average genetic dissimilarity ranged from 2 to 50%. In order to analyze the efficiency for unambiguous identification of linseed germplasm, various statistical measures, viz., number of genotyping patterns, polymorphism information content, resolving power, discrimination power, probability of identity and probability of random identity, identified a set comprising of primers LU7, LU27, LU25, LU20 and LU31 (or LU637) for DNA fingerprinting of linseed germplasm. UPGMA cluster analysis showed that all genotypes could be grouped into four main clusters. Cluster 2 was the largest consisting of mainly landraces, whereas, Cluster 4 was the smallest. Cluster 1 consisted of mainly the released cultivars. Cluster 3 and Cluster 4 were smaller clusters and consisted of exotic genotypes. Principal co-ordinate analysis further substantiated the UPGMA clustering patterns of the observed genetic relationship. To explain 70–80% variability, 17–23 PCOs were needed, whereas 70 components were needed to explain the whole variability in the linseed material under study. Analysis of molecular variance indicated that most of the genetic variation is owing to the individuals within single population, whereas grouping of linseed material into varieties, landraces and exotics accounted for nearly 10% of the total genetic variation. The utility of SSR markers in diversity assessment and cultivar identification is discussed.     

香稻资源遗传多样性的比较

利用60个水稻SSR标记, 对来自国内外的370份香稻材料的遗传多样性进行了比较分析。结果共检测到361个等位基因, 每个位点的等位基因变幅为2~10个, 平均Nei基因多样性指数(He)为0.663, 变幅为0.104(RM308)~0.885(RM2634)。籼粳亚种间的遗传多样性具有明显差异, 籼稻的等位基因数和Nei基因多样性指数均高于粳稻。地方品种的遗传多样性高于选育品种, 选育品种等位基因数仅为地方品种的86.5%。分子方差分析表明, 香稻材料中总变异的43.08%是由于亚种间的遗传差异引起的。不同稻区的遗传分化程度总体介于1.69%~14.40%之间。其中, 华南与西南、华中与西南地方品种间遗传差异的分化程度达显著水平。聚类分析将参试材料明显分为籼粳两大类, 同时地域相同(稻区)、相邻省份的香稻材料基本归为同一类群。     

Development of SSR Markers and Genetic Diversity in White Birch (Betula platyphylla)

In order to study genetic diversity of white birch (Betula platyphylla), 544 primer pairs were designed based on the genome-wide Solexa sequences. Among them, 215 primer pairs showed polymorphism between five genotypes and 111 primer pairs that presented clear visible bands in genotyping 41 white birch plants that were collected from 6 different geographical regions. A total of 717 alleles were obtained at 111 loci with a range of 2 to 12 alleles per locus. The results of statistic analysis showed that polymorphic frequency of the alleles ranged from 17% to 100% with a mean of 55.85%; polymorphism information content (PIC) of the loci was from 0.09 to 0.58 with a mean of 0.30; and gene diversity between the tested genotypes was from 0.01 to 0.66 with a mean of 0.36. The results also indicated that major allele frequency ranged from 0.39 to 1.00 with an mean of 0.75; expected heterozygosity from 0.22 to 0.54 with a mean of 0.46; observed heterozygosity from 0.02 to 0.95 with a mean of 0.26; Nei''s index from 0.21 to 0.54 with a mean of 0.46; and Shannon''s Information from 0.26 to 0.87 with a mean of 0.66. The 41 white birch genotypes at the 111 selected SSR loci showed low to moderate similarity (0.025-0.610), indicating complicated genetic diversity among the white birch collections. The UPGMA-based clustering analysis of the allelic constitution of 41 white birch genotypes at 111 SSR loci suggested that the six different geographical regions can be further separated into four clusters at a similarity coefficient of 0.22. Genotypes from Huanren and Liangshui provenances were grouped into Cluster I, genotypes from Xiaobeihu and Qingyuan provenances into Cluster II, genotypes from Finland provenance into Cluster III, and genotypes from Maoershan into Cluster IV. The information provided in this study could help for genetic improvement and germplasm conservation, evaluation and utilization in white birch tree breeding program.     

Identification of unique alleles and assessment of genetic diversity of rabi sorghum accessions using simple sequence repeat markers

Genetic diversity among 42 sorghum accessions representing landraces (19), advanced breeding lines (16), local cultivars (2) and release varieties (5) with 30 simple sequence repeat (SSR) markers revealed 7.6 mean number of alleles per locus showing 93.3% polymorphism and an average polymorphism information content of 0.78 which range from 0.22 (Xtxp12) and 0.91(Xtxp321). The average heterozygosity and effective number of alleles per locus were 0.8 and 6.65 respectively. Cluster analysis based on microsatellite allelic diversity clearly demarcated the accessions into ten clusters. A total of 24 unique alleles were obtained from seven SSR loci in 23 accessions in a size range of 110–380 bp; these unique alleles may serve as diagnostic tools for particular region of the genome of respective genotypes. Selected SSR markers from different linkage groups provided an accurate way of determining genetic diversity at the molecular level.     

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 .     

Genetic diversity among cultivars, landraces and wild relatives of rice as revealed by microsatellite markers

Genetic diversity among 35 rice accessions, which included 19 landraces, 9 cultivars and 7 wild relatives, was investigated by using microsatellite (SSR) markers distributed across the rice genome. The mean number of alleles per locus was 4.86, showing 95.2% polymorphism and an average polymorphism information content of 0.707. Cluster analysis based on microsatellite allelic diversity clearly demarcated the landraces, cultivars and wild relatives into different groups. The allelic richness computed for the clusters indicated that genetic diversity was the highest among wild relatives (0.436), followed by landraces (0.356), and the lowest for cultivars. Allelic variability among the SSR markers was high enough to categorize cultivars, landraces and wild relatives of the rice germplasm, and to catalogue the genetic variability observed for future use. The results also suggested the necessity to introgress genes from landraces and wild relatives into cultivars, for cultivar improvement.     

Genetic diversity in basmati rice (<Emphasis Type="Italic">Oryza sativa</Emphasis> L.) germplasm as revealed by microsatellite (SSR) markers

Genetic diversity among rice genotypes, including 15 indica basmati advance lines and 5 basmati improved varieties were investigated by 28 SSR markers including one indel marker. The SSRs covered all the 12 chromosomes that distributed across the rice genomes. The mean number of alleles per locus was 3.60, showing average number of polymorphism information content was 0.48. A total of 101 alleles were also identified from the microsatellite marker loci. A number of SSR markers were also identified that could be utilized to differentiate between rice genotypes. Pair wise Nei’s genetic distance between rice genotypes ranged from 0.07 to 0.95. The dendrogram based on cluster analysis by using SSR polymorphism that grouped the 20 genotypes of rice in to five clusters based on their genetic similarity. The result could be useful for the identification and selection of the diverse genotypes for the future cross breeding program and development of new rice varieties.     

Assessment of genetic diversity of Czech sweet cherry cultivars using microsatellite markers

We analyzed 24 sweet and wild cherry genotypes collected in Czech Republic to determine genetic variation, using previously described 16 SSR primers to adapt a fast, reliable method for preliminary screening and comparison of sweet cherry germplasm collections. All SSRs were polymorphic and they were able all together to distinguish unambiguously the genotypes. These SSR primers generated 70 alleles; the number of alleles per primer ranged from 2 to 7, with a mean of 4.4 putative alleles per primer combination. The primer UDP-98-412 gave the highest number of polymorphic bands (totally 7), while Empa2 and Empa3 gave the lowest number (2). The allele frequency varied from 2.1% to 87.5%. We observed 10% of unique alleles at different loci. The observed heterozygosity value ranged from 0.25 to 0.96 with an average of 0.72 while expected heterozygosity value varied from 0.22 to 0.75 with an average of 0.59. The PIC value ranged from 0.21 to 0.71 with a mean value of 0.523. Cluster analysis separated the investigated cultivars in two groups. High level of genetic diversity obtained in the collection and proved to be sufficiently genetically diverse and therefore these genotypes would be useful to breeders for the development of new cherry cultivars.     

Comparative analysis of microsatellite DNA polymorphism in landraces and cultivars of rice

Genetic polymorphisms of ten microsatellite DNA loci were examined among 238 accessions of landraces and cultivars that represent a significant portion of the distribution range for both indica and japonica groups of cultivated rice. In all, 93 alleles were identified with these ten markers. The number of alleles varied from a low of 3 or 4 at each of four loci, to an intermediate value of 9–14 at five loci, and to an extra-ordinarily high 25 at one locus. The numbers of alleles per locus are much larger than those detected using other types of markers. The number of alleles detected at a locus is significantly correlated with the number of simple sequence repeats in the targeted microsatellite DNA. Indica rice has about 14% more alleles than japonica rice, and such allele number differences are more pronounced in landraces than in cultivars. The indica-japonica differentiation component accounted for about 10% of the diversity in the total sample, and twice as much differentiation was detected in cultivars as in landraces. About two-thirds as many alleles were observed in cultivars as in landraces; another two-thirds of the alleles in the cultivar group were found in modern elite cultivars or parents of hybrid rice. The majority of the simple sequence repeat (SSR) alleles that were present in high or intermediate frequencies in landraces ultimately survived into modern elite cultivars and hybrids. The greater resolving power and the efficient production of massive amounts of SSR data may be particularly useful for germplasm assessment and evolutionary studies of crop plants.     

基于SSR标记的贵州薏苡种质资源遗传多样性?分析

利用SSR标记研究了22份薏苡种质的遗传多样性,用11对扩增带型稳定的SSR引物从供试材料中检测出105个等位基因变异,每对引物检测等位基因4～20个,平均9.55个。SSR引物的PIC介于0.3048～0.9238,平均多态性信息量为0.8255。利用UPGMA聚类分系法将供试自交系划分为4类,该划分结果与根据地理来源、种质系谱的分类结果基本一致。SSR分子标记辅助的种质改良是薏苡品种改良的重要途径。     

不同国家水稻品种的遗传多样性分析

探讨世界不同国家水稻品种的遗传多样性,旨在为各国品种资源的有效利用提供理论依据。本研究利用63对引物对36份来源于不同国家的水稻品种进行遗传多样性分析。共检测到269个等位基因,每个位点的等位基因数(Na)平均为4.54个,有效等位基因数(Ne)平均为3.22,基因多样性指数(H)平均为0.64,Shannon’s信息指数(I)平均为1.21,引物RM206、RM257、RM410、RM235、RM266的等位基因数较多在7条以上。所处纬度相近的国家或地区的水稻品种之间的遗传距离较近,被聚为同一类群,而所处纬度较远的国家或地区的水稻品种被分到了不同类群。结果表明,水稻品种之间的遗传差异与纬度和地理距离有很大的关系。