Identification of a microsatellite on chromosomes 6B and a STS on 7D of bread wheat showing an association with preharvest sprouting tolerance

 In bread wheat, the transfer of tolerance to preharvest sprouting (PHS) that is associated with genotypes having red kernel colour to genotypes with amber kernels is difficult using conventional methods of plant breeding. The study here was undertaken to identify DNA markers linked with tolerance to PHS as these would allow indirect marker-assisted selection of PHS-tolerant genotypes with amber kernels. For this purpose, a set of 100 recombinant inbred lines (RILs) was developed using a cross between a PHS-tolerant genotype, SPR8198, with red kernels and a PHS-susceptible cultivar, ‘HD2329’, with white kernels. The two parents were analysed with 232 STMS (sequence-tagged microsatellite site) and 138 STS (sequence-tagged site) primer pairs. A total of 300 (167 STMSs and 133 STSs) primer pairs proved functional by giving scorable PCR products. Of these, 57 (34%) STMS and 30 (23%) STS primer pairs detected reproducible polymorphism between the parent genotypes. Using these primer pairs, we carried out bulked segregant analysis on two bulked DNAs, one obtained by pooling DNA from 5 PHS-tolerant RILs and the other similarly derived by pooling DNA from 5 PHS-susceptible RILs. Two molecular markers, 1 STMS primer pair for the locus wmc104 anda STS primer pair for the locus MST101, showed apparent linkage with tolerance to PHS. This was confirmed following selective genotyping of individual RILs included in the bulks. Chi-square contingency tests for independence were conducted on the cosegregation data collected on 100 RILs involving each of the two molecular markers (wmc104 and MST101) and PHS. The tests revealed a strong association between each of the markers and tolerance to PHS. Using nullisomic-tetrasomic lines, we were able to assign wmc104 and MST101 to chromosomes 6B and 7D, respectively. The results also indicated that the tolerance to PHS in SPR8198 is perhaps governed by two genes (linked with two molecular markers) exhibiting complementary interaction. Received: 15 October 1998 / Accepted: 19 December 1998     

Development and characterization of simple sequence repeat (SSR) markers and their use in determining relationships among Lycopersicon esculentum cultivars

The simple sequence repeat (SSR) or microsatellite marker is currently the preferred molecular marker due to its highly desirable properties. The aim of this study was to develop and characterize more SSR markers because the number of SSR markers currently available in tomato is very limited. Five hundred DNA sequences of tomato were searched for SSRs and analyzed for the design of PCR primers. Of the 158 pairs of SSR primers screened against a set of 19 diverse tomato cultivars, 129 pairs produced the expected DNA fragments in their PCR products, and 65 of them were polymorphic with the polymorphism information content (PIC) ranging from 0.09 to 0.67. Among the polymorphic loci, 2-6 SSR alleles were detected for each locus with an average of 2.7 alleles per locus; 49.2% of these loci had two alleles and 33.8% had three alleles. The vast majority (93.8%) of the microsatellite loci contained di- or tri-nucleotide repeats and only 6.2% had tetra- and penta-nucleotide repeats. It was also found that TA/AT was the most frequent type of repeat, and the polymorphism information content (PIC) was positively correlated with the number of repeats. The set of 19 tomato cultivars were clustered based on the banding patterns generated by the 65 polymorphic SSR loci. Since the markers developed in this study are primarily from expressed sequences, they can be used not only for molecular mapping, cultivar identification and marker-assisted selection, but for identifying gene-trait relations in tomato.     

Characterization of Spanish grapevine cultivar diversity using sequence-tagged microsatellite site markers.

A broad germplasm bank collection containing most of the autochthonous Spanish grapevine cultivars was analyzed using six sequence-tagged microsatellite site (STMS) loci: VVS2, VVMD5, VVMD7, ssrVrZAG47, ssrVrZAG62, and ssrVrZAG79. The number of alleles obtained ranged from 9 in ssrVrZAG47 to 13 in VVS2, and the observed genotypes per locus varied between 24 (ssrVrZAG47) and 41 (VVSS2). A total of 57 unique genotypes were obtained considering all 6 loci, and 40 varieties presented at least 1 of these specific genotypes. The genotypic combinations for the 6 loci have generated 163 different profiles in the 176 cultivars. Ten pairs of accessions and one group of four Garnacha's cultivars can not be differentiated. The observed heterozygosity varied between 75.6 (VVMD7) and 90.9% (VVMD5), without significant differences from the expected values for any loci. The VVMD5 locus was the most informative, and also showed the highest discrimination power. The cumulative discrimination power for all six loci was practically 1; however, in fact, these STMS loci have differentiated only about 93% of the accessions, probably owing to high relatedness of the plant material. Usefulness of this STMS set for characterization of a Spanish grapevine collection is emphasized, as well as the elaboration of databases with these molecular markers.     

Identification, genetic localization, and allelic diversity of selectively amplified microsatellite polymorphic loci in lettuce and wild relatives (Lactuca spp.).

Selectively amplified microsatellite polymorphic locus (SAMPL) analysis is a method of amplifying microsatellite loci using generic PCR primers. SAMPL analysis uses one AFLP primer in combination with a primer complementary to microsatellite sequences. SAMPL primers based on compound microsatellite sequences provided the clearest amplification patterns. We explored the potential of SAMPL analysis in lettuce to detect PCR-based codominant microsatellite markers. Fifty-eight SAMPLs were identified and placed on the genetic map. Seventeen were codominant. SAMPLs were dispersed with RFLP markers on 11 of the 12 main linkage groups in lettuce, indicating that they have a similar genomic distribution. Some but not all fragments amplified by SAMPL analysis were confirmed to contain microsatellite sequences by Southern hybridization. Forty-five cultivars of lettuce and five wild species of Lactuca were analyzed to determine the allelic diversity for codominant SAMPLs. From 3 to 11 putative alleles were found for each SAMPL; 2-6 alleles were found within Lactuca sativa and 1-3 alleles were found among the crisphead genotypes, the most genetically homogeneous plant type of L. sativa. This allelic diversity is greater than that found for RFLP markers. Numerous new alleles were observed in the wild species; however, there were frequent null alleles. Therefore, SAMPL analysis is more applicable to intraspecific than to interspecific comparisons. A phenetic analysis based on SAMPLs resulted in a dendrogram similar to those based on RFLP and AFLP markers.     

The use of microsatellite markers for detection of genetic diversity in barley populations

 A barley lambda-phage library was screened with (GA)n and (GT)n probes for developing microsatellite markers. The number of repeats ranged from 2 to 58 for GA and from 2 to 24 for GT. Fifteen selected microsatellite markers were highly polymorphic for barley. These microsatellite markers were used to estimate the genetic diversity among 163 barley genotypes chosen from the collection of the IPK Genebank, Germany. A total of 130 alleles were detected by 15 barley microsatellite markers. The number of alleles per microsatellite marker varied from 5 to 15. On average 8.6 alleles per locus were observed. Except for GMS004 all other barley microsatellite markers showed on average a high value of gene diversity ranging from 0.64 to 0.88. The mean value of gene diversity in the wild forms and landraces was 0.74, and even among the cultivars the gene diversity ranged from 0.30 to 0.86 with a mean of 0.72. No significant differences in polymorphism were detected by the GA and GT microsatellite markers. The estimated genetic distances revealed by the microsatellite markers were, on average , 0.75 for the wild forms, 0.72 for landraces and 0.70 among cultivars. The microsatellite markers were able to distinguish between different barley genotypes. The high degree of polymorphisms of microsatellite markers allows a rapid and efficient identification of barley genotypes. Received: 26 November 1997 / Accepted: 19 January 1998     

Development of microsatellite markers and analysis of intraspecific genetic variability in chickpea (Cicer arietinum L.)

Paucity of polymorphic molecular markers in chickpea (Cicer arietinum L.) has been a major limitation in the improvement of this important legume. Hence, in an attempt to develop sequence-tagged microsatellite sites (STMS) markers from chickpea, a microsatellite enriched library from the C. arietinum cv. Pusa362 nuclear genome was constructed for the identification of (CA/GT) _n and (CT/GA) _n microsatellite motifs. A total of 92 new microsatellites were identified, of which 74 functional STMS primer pairs were developed. These markers were validated using 9 chickpea and one C. reticulatum accession. Of the STMS markers developed, 25 polymorphic markers were used to analyze the intraspecific genetic diversity within 36 geographically diverse chickpea accessions. The 25 primer pairs amplified single loci producing a minimum of 2 and maximum of 11 alleles. A total of 159 alleles were detected with an average of 6.4 alleles per locus. The observed and expected heterozygosity values averaged 0.32 (0.08–0.91) and 0.74 (0.23–0.89) respectively. The UPGMA based dendrogram was able to distinguish all the accessions except two accessions from Afghanistan establishing that microsatellites could successfully detect intraspecific genetic diversity in chickpea. Further, cloning and sequencing of size variant alleles at two microsatellite loci revealed that the variable numbers of AG repeats in different alleles were the major source of polymorphism. Point mutations were found to occur both within and immediately upstream of the long tracts of perfect repeats, thereby bringing about a conversion of perfect motifs into imperfect or compound motifs. Such events possibly occurred in order to limit the expansion of microsatellites and also lead to the birth of new microsatellites. The microsatellite markers developed in this study will be useful for genetic diversity analysis, linkage map construction as well as for depicting intraspecific microsatellite evolution.     

Identification of cut rose (<Emphasis Type="Italic">Rosa hybrida</Emphasis>) and rootstock varieties using robust sequence tagged microsatellite site markers

In this study a DNA fingerprinting protocol was developed for the identification of rose varieties based on the variability of microsatellites. Microsatellites were isolated from Rosa hybrida L. using enriched small insert libraries. In total 24 polymorphic sequenced tagged microsatellite site (STMS) markers with easily scorable allele profiles, from six different linkage groups, were used to characterize 46 Hybrid Tea varieties and 30 rootstock varieties belonging to different species (Rosa canina L., Rosa indica Thory., Rosa chinensis Jacq., Rosa rubiginosa L., and Rosa rubrifolia glauca Pour.). Clones and known flower color mutants were identified as being identical, all other varieties were differentiated by a unique pattern with as few as three STMS markers. The high discriminating power of the loci suggests that a selection of the most-robust STMS markers may be able to differentiate any two varieties within rootstocks or Hybrid Teas except for mutants. The selected STMS markers will be useful as a tool for reference collection management, for assessing essential derivation of varieties and illegal propagation.     

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.     

Development of 51 genomic microsatellite DNA markers of guppy (Poecilia reticulata) and their application in closely related species

Fifty‐one microsatellite DNA markers of guppy (Poecilia reticulata) were developed. All of the markers detected moderate allelic variation. The number of alleles for each locus ranged from two to 10. Observed and expected heterozygosities varied from 0.10 to 0.63 and from 0.23 to 0.77, respectively. Three additional fish species of family Poeciliidae were used for the cross‐species amplification of these markers. It was found that only four to 16 markers detected polymorphism in these three fish species.     

Isolation and characterization of sequence‐tagged microsatellite sites markers in chickpea (Cicer arietinum L.)

In this study we report the isolation of microsatellite sequences and their conversion to sequence‐tagged microsatellite sites (STMS) markers in chickpea (Cicer arietinum L.). Thirteen putative recombinants isolated from a chickpea genomic library were sequenced, and used to design 10 STMS primer pairs. These were utilized to analyse the genetic polymorphism in 15 C. arietinum varieties and two wild varieties, C. echinospermum and C. reticulatum. All the primer pairs amplified polymorphic loci ranging from four to seven alleles per locus. The observed heterozygosity ranged from 0 to 0.6667. Most of the STMS markers also amplified corresponding loci in the wild relatives suggesting conservation of these markers in the genus. Hence, these polymorphic markers will be useful for the evaluation of genetic diversity and molecular mapping in chickpea.     

The use of microsatellite DNA markers for soybean genotype identification

Conventional morphological and pigementation traits, as well as disease resistance, have been used to distinguish the uniqueness of new soybean cultivars for purposes of plant variety protection. With increasing numbers of cultivars and a finite number of conventional characters, it has become apparent that such traits will not suffice to establish uniqueness. The objective of this work was to provide an initial evaluation of microsatellite or simple-sequence-repeat (SSR) DNA markers to develop unique DNA profiles of soybean genotypes. Microsatellites are DNA sequences such as (AT) _n /(TA) _n and (ATT) _n /(TAA) _n that are composed of tandemly repeated 2–5-basepair DNA core sequences. The DNA sequences flanking microsatellites are generally conserved allowing the selection of polymerase chain reaction (PCR) primers that will amplify the intervening SSR. Variation in the number of tandem repeats, n, results in PCR product length differences. The SSR alleles present at three (AT) _n /(TA) _n and four (ATT) _n /(TAA) _n loci were determined in each of 96 diverse soybean genotypes. Between 11 and 26 alleles were found at each of the seven loci. Only two genotypes had identical SSR allelic profiles and these had very similar pedigrees. The gene diversity for the seven markers averaged 0.87 for all 96 genotypes and 0.74 for a subset of 26 North American cultivars. These are much higher than soybean gene diversity values obtained using RFLP markers, and are similar to the average values obtained for human microsatellite markers. SSR markers provide an excellent complement to the conventional markers that are currently used to characterize soybean genotypes.     

A consensus list of microsatellite markers for olive genotyping

Cultivar identification is a primary concern for olive growers, breeders, and scientists. This study was aimed at examining the SSR markers retrieved from the literature and currently used in olive study, in order to select those most effective in characterizing the olive accessions and to make possible the comparison of data obtained by different laboratories. Olive microsatellite profiles were assessed by four independent laboratories, which analyzed 37 pre-selected SSR loci on a set of 21 cultivars. These SSR markers were initially tested for their reproducibility, power of discrimination and number of amplified loci/alleles. Independent segregation was tested for each pair of SSRs in a controlled cross and the allelic error rate was quantified. Some of them were finally selected as the most informative and reliable. Most of the alleles were sequenced and their sizes were determined. Profiles of the reference cultivars and a list of alleles with their sizes obtained by sequencing are reported. Several genetic parameters have been analysed on a larger set of cultivars allowing for a deeper characterization of the selected loci. Results of this study provide a list of recommended markers and protocols for olive genotyping as well as the allelic profile of a set of reference cultivars that would be useful for the establishment of a universal database of olive accessions.     

Microsatellite analysis of relationships within cultivated potato (Solanum tuberosum)

The potential of microsatellite markers for use in genetical studies in potato (Solanum tuberosum) was evaluated. Database searches revealed that microsatellite sequences were present in the non-coding regions of 24 potato genes. Twenty-two sets of primers were designed and products successfully amplified using 19 primer pairs. These were tested against a panel of 18 tetraploid potato cultivars. Four pairs of primers designed to amplify microsatellites from tomato were also used. Seven (including 2 of the tomato sequences) failed to reveal any variation in the accessions tested. Sixteen primer pairs did reveal polymorphism, detecting between 2 and 19 alleles at each locus. Of these, 3 gave rise to complex band patterns, suggesting that multiple polymorphic loci were being amplified using a single primer pair. Heterozygosity values ranged from 0.408 to 0.921. Phenetic analysis of the derived information allowed a dendrogram to be constructed depicting the relationships between the 18 potato cultivars. The potential of microsatellite markers for genetic analysis and satutory applications in potato is discussed in the context of these results. Furthermore, the potential of crossspecies amplification is highlighted as an additional source of microsatellite markers for genetic research in potato.     

Identification of microsatellite markers from Cicer reticulatum: molecular variation and phylogenetic analysis

Microsatellite sequences were cloned and sequenced from Cicer reticulatum, the wild annual progenitor of chickpea (C. arietinum L.). Based on the flanking sequences of the microsatellite motifs, 11 sequence-tagged microsatellite site (STMS) markers were developed. These markers were used for phylogenetic analysis of 29 accessions representing all the nine annual Cicer species. The 11 primer pairs amplified distinct fragments in all the annual species demonstrating high levels of sequence conservation at these loci. Efficient marker transferability (97%) of the C. reticulatum STMS markers across other species of the genus was observed as compared to microsatellite markers from the cultivated species. Variability in the size and number of alleles was obtained with an average of 5.8 alleles per locus. Sequence analysis at three homologous microsatellite loci revealed that the microsatellite allele variation was mainly due to differences in the copy number of the tandem repeats. However, other factors such as (1) point mutations, (2) insertion/deletion events in the flanking region, (3) expansion of closely spaced microsatellites and (4) repeat conversion in the amplified microsatellite loci were also responsible for allelic variation. An unweighted pairgroup method with arithmetic averages (UPGMA)-based dendrogram was obtained, which clearly distinguished all the accessions (except two C. judaicum accessions) from one another and revealed intra- as well as inter-species variability in the genus. An annual Cicer phylogeny was depicted which established the higher similarity between C. arietinum and C. reticulatum. The placement of C. pinnatifidum in the second crossability group and its closeness to C. bijugum was supported. Two species, C. yamashitae and C. chorassanicum, were grouped distinctly and seemed to be genetically diverse from members of the first crossability group. Our data support the distinct placement of C. cuneatum as well as a revised classification regarding its placement.     

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.     

Characterization of tomato DNA clones with sequence similarity to human minisatellites 33.6 and 33.15

A tomato lambda genomic library was screened with the human minisatellites 33.6 and 33.15. Similar tomato sequences are estimated to occur on average every 4000 kb. In thirteen hybridizing clones characterized, the size of minisatellite arrays varied between 100 bp and 3 kb. The structure of the repetitive elements is complex as the human core sequence is interspersed with other elements. In three cases, sequences similar to the human minisatellites were part of a higher-order tandem repeat. The chromosomal position of these sequences was established by ascertaining linkage to previously mapped RFLP markers. In contrast to the human genome, no clustering of minisatellite loci was observed in tomato. The fingerprints generated by hybridizing tomato minisatellites to genomic DNA of a set of cultivars were, in two cases, more variable than those obtained with 33.6 or 33.15. Two of the characterized probes detected 4–8 alleles of a single locus, which displayed 10–15 times more polymorphism than random RFLP clones. Some minisatellites contain di- and tri-nucleotide microsatellite repeated motifs which may account for the high level of polymorphism detected with these clones.     

Analysis of the allelic polymorphism of the five X-linked (CA)n dinucleotide repeats in Russia

A PCR-based survey of allelic polymorphism of three microsatellite markers, DXS998, DXS548, and FRAXAC1, mapped to chromosome region Xp27.3, and two microsatellite markers, DXS8091 and DXS1691 located on Xq28 was carried out using a series of DNA samples obtained from 98 unrelated individuals from Russia. The number of alleles detected on electrophregrams for each marker tested was 4, 6, 4, 5, and 3, respectively. The values of heterozygosity index for the markers examined were 0.65, 0.27, 0.38, 0.70, and 0.29, respectively. The observed distribution of the allelic frequencies for each microsatellite marker examined fitted Hardy--Weinberg expectations. The values of individualization potential determined for each marker were 0.24, 0.53, 0.43, 0.12, and 0.52, respectively. In the sample tested the genotype distribution with regard to above loci was determined. The perspectives of using the analyzed allelic polymorphisms for indirect DNA diagnostics of the monogenic diseases located in this chromosome region (X-linked mental retardations, FRAXA and FRAXE) as well as for human population genetics and personal identification is discussed.     

Rat Gene Mapping Using Pcr-Analyzed Microsatellites

One hundred and seventy-four rat loci which contain short tandem repeat sequences were extracted from the GenBank or EMBL data bases and used to define primers for amplification by the polymerase chain reaction (PCR) of the microsatellite regions, creating PCR-formatted sequence-tagged microsatellite sites (STMSs). One hundred and thirty-four STMSs for 118 loci, including 6 randomly cloned STMSs, were characterized: (i) PCR-analyzed loci were assigned to specific chromosomes using a panel of rat x mouse somatic cell hybrid clones. (ii) Length variation of the STMSs among 8 inbred rat strains could be visualized at 85 of 107 loci examined (79.4%). (iii) A genetic map, integrating biochemical, coat color, mutant and restriction fragment length polymorphism loci, was constructed based on the segregation of 125 polymorphic markers in seven rat backcrosses and in two F2 crosses. Twenty four linkage groups were identified, all of which were assigned to a defined chromosome. As a reflection of the bias for coding sequences in the public data bases, the STMSs described herein are often associated with genes. Hence, the genetic map we report coincides with a gene map. The corresponding map locations of the homologous mouse and human genes are also listed for comparative mapping purposes.     

Determining microsatellite genotyping reliability and mutation detection ability: an approach using small-pool PCR from sperm DNA

Microsatellite genotyping from trace DNA is now common in fields as diverse as medicine, forensics and wildlife genetics. Conversely, small-pool PCR (SP-PCR) has been used to investigate microsatellite mutation mechanisms in human DNA, but has had only limited application to non-human species. Trace DNA and SP-PCR studies share many challenges, including problems associated with allelic drop-out, false alleles and other PCR artefacts, and the need to reliably identify genuine alleles and/or mutations. We provide a framework for the validation of such studies without a multiple tube approach and demonstrate the utility of that approach with an analysis of microsatellite mutations in the tammar wallaby (Macropus eugenii). Specifically, we amplified three autosomal microsatellites from somatic DNA to characterise efficiency and reliability of PCR from low-template DNA. Reconstruction experiments determined our ability to discriminate mutations from parental alleles. We then developed rules to guide data interpretation. We estimated mutation rates in sperm DNA to range from 1.5 × 10⁻² to 2.2 × 10⁻³ mutations per locus per generation. Large multi-step mutations were observed, providing evidence for complex mutation processes at microsatellites and potentially violating key assumptions in the stepwise mutation model. Our data demonstrate the necessity of actively searching for large mutation events when investigating microsatellite evolution and highlight the need for a thorough understanding of microsatellite amplification characteristics before embarking on SP-PCR or trace DNA studies.