Development of microsatellite markers and characterization of simple sequence length polymorphism (SSLP) in rice (Oryza sativa L.)

Microsatellite markers containing simple sequence repeats (SSR) are a valuable tool for genetic analysis. Our objective is to augment the existing RFLP map of rice with simple sequence length polymorphisms (SSLP). In this study, we describe 20 new microsatellite markers that have been assigned to positions along the rice chromosomes, characterized for their allelic diversity in cultivated and wild rice, and tested for amplification in distantly related species. Our results indicate that the genomic distribution of microsatellites in rice appears to be random, with no obvious bias for, or clustering in particular regions, that mapping results are identical in intersubspecific and interspecific populations, and that amplification in wild relatives ofOryza sativa is reliable in species most closely related to cultivated rice but becomes less successful as the genetic distance increases. Sequence analysis of SSLP alleles in three relatedindica varieties demonstrated the clustering of complex arrays of SSR motifs in a single 300-bp region with independent variation in each. Two microsatellite markers amplified multiple loci that were mapped onto independent rice chromosomes, suggesting the presence of duplicated regions within the rice genome. The availability of increasing numbers of mapped SSLP markers can be expected to increase the power and resolution of genome analysis in rice.     

Microsatellite DNA markers for rice chromosomes

We found 369 complete microsatellites, of which (CGG/GCC)_n was the most frequent, in 11 798 rice sequences in the database. Of these microsatellites, 35 out of 45 could be successfully converted into microsatellite DNA markers using sequence information in their flanking regions. Thus, the time and labor used to develop new microsatellite DNA markers could be saved by using these published sequences. Twenty eight polymorphic markers between Asominori (japonica) and IR24 (indica) have been correctly mapped on the rice genome and microsatellites appear to be randomly distributed in the rice chromosomes. Integration of these markers with the published microsatellite DNA markers showed that about 35% of the rice chromosomes were covered by the 56 microsatellite DNA markers. These microsatellites were hypervariable and were easily to assay by PCR; they were distributed to all chromosomes and therefore, one can easily select plants carrying desired chromosome regions using these microsatellite DNA markers. Thus, microsatellite maps should aid the development of new breeds of rice saving time, labor, and money.     

Development of microsatellite markers and characterization of simple sequence length polymorphism (SSLP) in rice (Oryza sativa L.)

Microsatellite markers containing simple sequence repeats (SSR) are a valuable tool for genetic analysis. Our objective is to augment the existing RFLP map of rice with simple sequence length polymorphisms (SSLP). In this study, we describe 20 new microsatellite markers that have been assigned to positions along the rice chromosomes, characterized for their allelic diversity in cultivated and wild rice, and tested for amplification in distantly related species. Our results indicate that the genomic distribution of microsatellites in rice appears to be random, with no obvious bias for, or clustering in particular regions, that mapping results are identical in intersubspecific and interspecific populations, and that amplification in wild relatives ofOryza sativa is reliable in species most closely related to cultivated rice but becomes less successful as the genetic distance increases. Sequence analysis of SSLP alleles in three relatedindica varieties demonstrated the clustering of complex arrays of SSR motifs in a single 300-bp region with independent variation in each. Two microsatellite markers amplified multiple loci that were mapped onto independent rice chromosomes, suggesting the presence of duplicated regions within the rice genome. The availability of increasing numbers of mapped SSLP markers can be expected to increase the power and resolution of genome analysis in rice.     

Diversity of microsatellites derived from genomic libraries and GenBank sequences in rice (Oryza sativa L.)

The growing number of rice microsatellite markers warrants a comprehensive comparison of allelic variability between the markers developed using different methods, with various sequence repeat motifs, and from coding and non-coding portions of the genome. We have performed such a comparison over a set of 323 microsatellite markers; 194 were derived from genomic library screening and 129 were derived from the analysis of rice-expressed sequence tags (ESTs) available in public DNA databases. We have evaluated the frequency of polymorphism between parental pairs of six inter- subspecific crosses and one inter-specific cross widely used for mapping in rice. Microsatellites derived from genomic libraries detected a higher level of polymorphism than those derived from ESTs contained in the GenBank database (83.8% versus 54.0%). Similarly, the other measures of genetic variability [the number of alleles per locus, polymorphism information content (PIC), and allele size ranges] were all higher in genomic library-derived microsatellites than in their EST-database counterparts. The highest overall degree of genetic diversity was seen in GA-containing microsatellites of genomic library origin, while the most conserved markers contained CCG- or CAG-trinucleotide motifs and were developed from GenBank sequences. Preferential location of specific motifs in coding versus non-coding regions of known genes was related to observed levels of microsatellite diversity. A strong positive correlation was observed between the maximum length of a microsatellite motif and the standard deviation of the molecular-weight of amplified fragments. The reliability of molecular weight standard deviation (SDmw) as an indicator of genetic variability of microsatellite loci is discussed. Received: 5 May 1999 / Accepted: 16 August 1999     

Mapping and genome organization of microsatellite sequences in rice (Oryza sativa L.)

In order to enhance the resolution of an existing genetic map of rice, and to obtain a comprehensive picture of marker utility and genomic distribution of microsatellites in this important grain species, rice DNA sequences containing simple sequence repeats (SSRs) were extracted from several small-insert genomic libraries and from the database. One hundred and eighty eight new microsatellite markers were developed and evaluated for allelic diversity. The new simple sequence length polymorphisms (SSLPs) were incorporated into the existing map previously containing 124 SSR loci. The 312 microsatellite markers reported here provide whole-genome coverage with an average density of one SSLP per 6 cM. In this study, 26 SSLP markers were identified in published sequences of known genes, 65 were developed based on partial cDNA sequences available in GenBank, and 97 were isolated from genomic libraries. Microsatellite markers with different SSR motifs are relatively uniformly distributed along rice chromosomes regardless of whether they were derived from genomic clones or cDNA sequences. However, the distribution of polymorphism detected by these markers varies between different regions of the genome. Received: 5 May 1999 / Accepted: 16 August 1999     

大麦基因组中的微卫星标记及其应用

微卫星是以少数几个核苷酸为单位多次串联重复的DNA序列,是一种简单序列重复(simple sequence repeats,SSR),两侧一般是保守序列。由于它具有多态性高、共显性、容易用PCR检测和结果稳定可靠等特点,因此是一种十分理想的分子标记。大麦的微卫星DNA随机分布于基因组中,平均每一个微卫星基因座有3～18个等位基因,最高可达37个。SSR标记已广泛用于分子遗传图谱的构建、遗传多样性研究、种质鉴定、主要性状基因的定位及分子标记辅助选择育种等。大多数SSR标记集中在着丝粒附近区域,1HL、5HL和6HS明显缺乏SSR标记。大麦的SSR标记还有待进一步的开发。 Microsatellite Markers and Applications in the Barley Genome FENG Zong-yun1,2,3,ZHANG Yi-zheng1,LING Hong-qing3 1.College of Life Sciences,Sichuan University,Chengdu 610065,China; 2.College of Agronomy,Sichuan Agricultural University,Ya'an 625014,China; 3.The State Key Laboratory of Plant Cell & Chromosome Engineering,Institute of Genetics & Developmental Biology,Chinese Academy of Sciences,Beijing 100101,China Abstract:Microsatellites,also called simple sequence repeats (SSR),are simple,tandemly repeated DNA sequences with a repeat length of a few base pairs,and are very ideally used as molecular markers because of their abundance,high level of polymorphism,co-dominance and ease of assay with the polymerase chain reaction (PCR) by selecting primers as the conserved DNA sequences flanking the SSRs,as well as better stability.The experiments showed that SSRs are randomly distributed throughout the barley genome,and there are 3~18 alleles at a single SSR locus,up to 37 alleles/locus.SSR markers have being widely applied in the construction of molecular genetic map,the study of genetic diversity,the identification of germplasm,gene mapping for important traits and molecular marker-assisted selection.Meanwhile,most of markers are strongly clustered around the centromeric regions of all seven linkage groups.As a result of the clustering,genome coverage with SSRs remains incomplete with an obvious lack of markers on the long arms of chromosomes 1H and 5H and short arm of chromosome 6H.Therefore,it is very potential and necessary to further develop SSR markers in barley. Key words：barley;microsatellite marker;simple sequence repeats;genetic diversity;molecular mapping     

Characterization and Genetic Mapping of Simple Sequence Repeats in the Rice Genome

We searched partial sequences of over 22,706 rice cDNA and 1220genomic DNA clones to find and characterize simple sequencerepeats (SSRs) in the rice genome. The most frequently foundrepeated SSR motif in both cDNA and genomic DNA sequences wasd(CCG/CGG)n. The second most frequently found SSR was d(AG/CT)n.In contrast with mammalian genomes, in which d(AC/GT)n sequencesare the most abundant, d(AC/GT)n sequences were not frequentlyobserved in rice. Sequences containing d(CCG/CGG)n, d(AG/CT)nrepeats, and other SSRs were chosen for polymorphism detection.It was predicted that 17 of 20 SSRs in cDNA sequences were locatedin 5'-untranslated regions near initiation codons. Twenty-twoloci can be mapped on our RFLP linkage map by these SSRs. Sixmarkers were tested with 16 japonica rice varieties as templatesfor PCR. Two markers exhibited amplified fragment length polymorphismamong these rice varieties, implying that SSRs are polymorphicamong rice varieties which have similar genetic backgrounds.Even these polymorphic SSRs are located within or around geneswhich code ubiquitous proteins.     

Development and mapping of 2240 new SSR markers for rice (Oryza sativa L.).

A total of 2414 new di-, tri- and tetra-nucleotide non-redundant SSR primer pairs, representing 2240 unique marker loci, have been developed and experimentally validated for rice (Oryza sativa L.). Duplicate primer pairs are reported for 7% (174) of the loci. The majority (92%) of primer pairs were developed in regions flanking perfect repeats > or = 24 bp in length. Using electronic PCR (e-PCR) to align primer pairs against 3284 publicly sequenced rice BAC and PAC clones (representing about 83% of the total rice genome), 65% of the SSR markers hit a BAC or PAC clone containing at least one genetically mapped marker and could be mapped by proxy. Additional information based on genetic mapping and "nearest marker" information provided the basis for locating a total of 1825 (81%) of the newly designed markers along rice chromosomes. Fifty-six SSR markers (2.8%) hit BAC clones on two or more different chromosomes and appeared to be multiple copy. The largest proportion of SSRs in this data set correspond to poly(GA) motifs (36%), followed by poly(AT) (15%) and poly(CCG) (8%) motifs. AT-rich microsatellites had the longest average repeat tracts, while GC-rich motifs were the shortest. In combination with the pool of 500 previously mapped SSR markers, this release makes available a total of 2740 experimentally confirmed SSR markers for rice, or approximately one SSR every 157 kb.     

Microsatellite markers for the red band needle blight pathogen, Dothistroma septosporum

Twelve microsatellite markers were developed for population analyses of the fungal pathogen, Dothistroma septosporum. Intersimple sequence repeat polymerase chain reaction (ISSR-PCR) and an enrichment protocol (fast isolation by amplified fragment length polymorphism of sequences containing repeats [FIASCO]) were both used to identify 28 unique microsatellite regions in the genome. From 22 primer pairs designed, 12 were polymorphic. These markers, screened on two populations representing 42 isolates, produced 40 alleles across all loci with an allelic diversity of 0.09-0.76 per locus. Cross-species amplification showed variable success with Dothistroma rhabdoclinis and Mycosphaerella dearnessi and some sequence variation within isolates of Dothistroma pini. These markers will be used to further study the population structure and diversity of D. septosporum.     

Eucalyptus microsatellites mined in silico: survey and evaluation

Eucalyptus is an important short rotation pulpy woody plant, grown widely in the tropics. Recently, many genomic programmes are underway leading to the accumulation of voluminous genomic and expressed sequence tag sequences in public databases. These sequences can be utilized for analysis of simple sequence repeats (SSRs) and single nucleotide polymorphism (SNPs) available in the transcribed genes. In this study, in silico analysis of 15,285 sequences representing partial and full-length mRNA from Eucalyptus species for their use in developing SSRs or microsatellites were carried out. A total of 875 EST-SSRs were identified from 772 SSR containing ESTs. Motif size of 6 for dinucleotide and 5 for trinucleotide, tetranucleotide, and pentanucleotides were considered in locating the microsatellites. The average frequency of identified SSRs was 12.9%. The dinucleotide repeats were the most abundant among the dinucleotide, trinucleotide and tetranucleotide motifs and accounted for 50.9% of the Eucalyptus genome. Primer designing analysis showed that 571 sequences with SSRs had sufficient flanking regions for polymerase chain reaction (PCR) primer synthesis. Evaluation of the usefulness of the SSRs showed that EST-derived SSRs can generate polymorphic markers as all the primers showed allelic diversity among the 16 provenances of E. tereticornis.     

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     

Exploration of presence/absence variation and corresponding polymorphic markers in soybean genome

This study was designed to reveal the genome‐wide distribution of presence/absence variation (PAV) and to establish a database of polymorphic PAV markers in soybean. The 33 soybean whole‐genome sequences were compared to each other with that of Williams 82 as a reference genome. A total of 33,127 PAVs were detected and 28,912 PAV markers with their primer sequences were designed as the database NJAUSoyPAV_1.0. The PAVs scattered on whole genome while only 518 (1.8%) overlapped with simple sequence repeats (SSRs) in BARCSOYSSR_1.0 database. In a random sample of 800 PAVs, 713 (89.13%) showed polymorphism among the 12 differential genotypes. Using 126 PAVs and 108 SSRs to test a Chinese soybean germplasm collection composed of 828 Glycine soja Sieb. et Zucc. and Glycine max (L.) Merr. accessions, the per locus allele number and its variation appeared less in PAVs than in SSRs. The distinctness among alleles/bands of PCR (polymerase chain reaction) products showed better in PAVs than in SSRs, potential in accurate marker‐assisted allele selection. The association mapping results showed SSR + PAV was more powerful than any single marker systems. The NJAUSoyPAV_1.0 database has enriched the source of PCR markers, and may fit the materials with a range of per locus allele numbers, if jointly used with SSR markers.     

Characterization and genetic mapping of a short, highly repeated, interspersed DNA sequence from rice (Oryza sativa L.).

Summary A short, highly repeated, interspersed DNA sequence from rice was characterized using a combination of techniques and genetically mapped to rice chromosomes by restriction fragment length polymorphism (RFLP) analysis. A consensus sequence (GGC)_n, where n varies from 13–16, for the repeated sequence family was deduced from sequence analysis. Southern blot analysis, restriction mapping of repeat element-containing genomic clones, and DNA sequence analysis indicated that the repeated sequence is interspersed in the rice genome, and is heterogeneous and divergent. About 200000 copies are present in the rice genome. Single copy sequences flanking the repeat element were used as RFLP markers to map individual repeat elements. Eleven such repeat elements were mapped to seven different chromosomes. The strategy for characterization of highly dispersed repeated DNA and its uses in genetic mapping, DNA fingerprinting, and evolutionary studies are discussed.     

水稻微卫星标记的发展和应用

微卫星又称简单序列重复。它是由几个核苷酸（一般２～４个）为重复单位组成的串联重复序列。相同座位上的重复序列由于重复次数的不同而造成序列长度的多态性。微卫星标记是一种共显性标记,具有等位基因丰富、检测技术简单等优点。微卫星标记在基因组作图、品种鉴定、种质保存、分子标记辅助选择等方面有着广泛的应用。目前水稻中已发展了３００多个微卫星标记。     

蜜蜂EST中的微卫星分析

为加速分子标记在蜜蜂遗传、进化与行为等方面的利用,分析了简单重复序列(Simple Sequence Repeats,SSRs)在蜜蜂EST中的分布频率与密度。所分析的蜜蜂EST数据集包含15869条序列,总长为7．9Mb。结果显示,蜜蜂ESTs中SSRs的频率为1／0．52kb,其中6碱基重复基序占总SSRs的45．0％,是最丰富的重复单元,而2、1、3、4与5碱基重复基序分别占总SSRs的17．9％、14．1％、11．6％、9．2％和2．2％。同时,在各种SSRs重复单元中,富含A碱基的重复单元占据优势地位,如：A、AT、AG、AC、AAT、AAG、AAC、AAAT、AAAG、AAAAG、AAAAT、AATAT、AAAAAG和AAAAAT重复基序,而富含G碱基的重复单元在基因编码区中含量较低。进一步分析显示：蜜蜂SSRs在冗余与非冗余EST数据集中的分布频率与密度相似,仅存在极小的偏差,表明可从现有的部分ESTs数据中方便地获取有效的微卫星标记。     

叶绿体S S R标记:柑橘体细胞杂种胞质遗传分析的一种新方法

从水稻(Oryza sativa L.)、烟草(Nicotiana tabacum L.)和黑松(Pinus thunbergiiParl.)等植物的22对叶绿体SSR引物中筛选出 5对能用于柑橘叶绿体SSR分析的引物,应用这5对引物对9个组合的柑橘体细胞杂种的叶绿体遗传进行了分析.结果表明:这些组合再生的杂种中叶绿体都呈现随机分离,该现象与以前报道的RFLP分析结果一致,而且其可靠性已被CAPS分析所证实.表明柑橘叶绿体SSR同RFLP及CAPS一样可靠,并且更简单高效、易于操作,特别适合对柑橘等植物体细胞杂种进行早期胞质遗传组成分析.     

Quantitative trait loci associated with leaf and neck blast resistance in recombinant inbred line population of rice (Oryza sativa).

Blast is an economically important disease of rice. To map genes controlling blast resistance, recombinant inbred lines (RIL) were developed from Khao Dawk Mali 105, an aromatic, blast-susceptible cultivar and the blast resistance donor, CT 9993-5-10-M (CT). A linkage map encompassing 2112 cM was constructed from 141 RILs using 90 restriction fragment length polymorphisms (RFLPs) and 31 simple sequence repeats (SSR). Virulent isolates of blast fungus were identified by screening differential host sets against 87 single-spore isolates collected from the north and northeast of Thailand. Fifteen virulent blast isolates were selected for leaf blast screening. Neck blast was evaluated both under natural conditions and controlled inoculations. Quantitative trait loci (QTLs) for broad resistance spectrum (BRS) to leaf blast were located on chromosomes 7 and 9. In particular, the QTL(ch9) was mapped near the Pi5(t) locus. The QTL(ch7) was located close to a previously mapped partial resistance QTL. Both loci showed significant allelic interaction. Genotypes having CT alleles at both QTL(ch7) and QTL(ch9) were the most resistant. Two neck-blast QTLs were mapped on chromosomes 5 and 6. The inconsistent map locations between the leaf and neck blast QTLs indicate the complexity of fixing both leaf and neck blast resistance. The coincidence of BRS and field resistance QTLs on chromosome 7 supports the idea that BRS may reflect the broad resistance spectrum to leaf blast in rice. These findings laid the foundation for the development of a marker-assisted scheme for improving Khoa Dawk Mali 105 and the majority of aromatic Thai rice varieties that are susceptible to blast.     

叶绿体SSR标记：柑橘体细胞杂种胞质遗传分析的一种新方法

从水稻(Oryza sativa L．)、烟草(Nicotiana tabacum L．)和黑松(Pinus thunbergii Parl．)等植物的22对叶绿体SSR引物中筛选出5对能用于柑橘叶绿体SSR分析的引物,应用这5对引物对9个组合的柑橘体细胞杂种的叶绿体遗传进行了分析。结果表明：这些组合再生的杂种中叶绿体都呈现随机分离,该现象与以前报道的RFLP分析结果一致,而且其可靠性已被CAPS分析所证实。表明柑橘叶绿体SSR同RFLP及CAPS一样可靠,并且更简单高效、易于操作,特别适合对柑橘等植物体细胞杂种进行早期胞质遗传组成分析。     

Toward integration of comparative genetic, physical, diversity, and cytomolecular maps for grasses and grains, using the sorghum genome as a foundation

The small genome of sorghum (Sorghum bicolor L. Moench.) provides an important template for study of closely related large-genome crops such as maize (Zea mays) and sugarcane (Saccharum spp.), and is a logical complement to distantly related rice (Oryza sativa) as a "grass genome model." Using a high-density RFLP map as a framework, a robust physical map of sorghum is being assembled by integrating hybridization and fingerprint data with comparative data from related taxa such as rice and using new methods to resolve genomic duplications into locus-specific groups. By taking advantage of allelic variation revealed by heterologous probes, the positions of corresponding loci on the wheat (Triticum aestivum), rice, maize, sugarcane, and Arabidopsis genomes are being interpolated on the sorghum physical map. Bacterial artificial chromosomes for the small genome of rice are shown to close several gaps in the sorghum contigs; the emerging rice physical map and assembled sequence will further accelerate progress. An important motivation for developing genomic tools is to relate molecular level variation to phenotypic diversity. "Diversity maps," which depict the levels and patterns of variation in different gene pools, shed light on relationships of allelic diversity with chromosome organization, and suggest possible locations of genomic regions that are under selection due to major gene effects (some of which may be revealed by quantitative trait locus mapping). Both physical maps and diversity maps suggest interesting features that may be integrally related to the chromosomal context of DNA-progress in cytology promises to provide a means to elucidate such relationships. We seek to provide a detailed picture of the structure, function, and evolution of the genome of sorghum and its relatives, together with molecular tools such as locus-specific sequence-tagged site DNA markers and bacterial artificial chromosome contigs that will have enduring value for many aspects of genome analysis.