中国龙虾微卫星标记的筛选及遗传多样性分析

文章以M13通用引物和重复序列(CT)₁₅、(AT)₁₅引物, 利用PCR法对中国龙虾(Panulirus stimpsoni Hoehuis)部分基因组DNA文库进行筛选。共获得78个微卫星序列, 分别分布于55个阳性重组克隆中, 其中完美型(perfect)共50个, 占64%; 非完美型(imperfect)3个, 占3.8%; 混合完美型(compound perfect)6个, 占7.7%; 混合非完美型(compound imperfect)19个, 占24.5%。根据微卫星序列, 设计并筛选出15对微卫星多态性引物, 对中国龙虾的群体进行了遗传多样性分析。获得3~12个等位基因, 等位基因大小在78~425 bp之间, 基本符合引物设计的理论长度。期望杂合度范围为0.48~0.87, 平均值为0.71, 表明中国龙虾基因组微卫星具有较高的杂合度与遗传多样性。15个微卫星位点的PIC值从0.44到0.84, 平均值为0.60, 说明这些微卫星位点在中国龙虾基因组中包含丰富的遗传信息, 合适用于中国龙虾的各种分子标记及遗传学分析和应用。     

Transferability of microsatellite and sequence tagged site markers in Oryza species

The genus Oryza comprises 22 species which are potentially useful as a source of genetic variability that can be introgressed into the worldwide cultivated rice, Oryza sativa. Molecular markers are useful tools for monitoring gene introgressions and for detecting polymorphism among species. In this study, cross-amplification was estimated among 28 accessions of 16 Oryza species, representing the genomes AA, BB, CC, BBCC and CCDD, using 59 microsatellite (OG, OS and RM series) and 15 STS (Sequence Tagged Sites) markers. All markers amplified at least one Oryza species, indicating different levels of transferability across species. Markers based on microsatellite sequences amplified 37 % of the accessions, with an average of 6.58 alleles per locus and an average polymorphism information content (PIC) of 70 %. For STS markers, the amplification level was 53.3 %, and the average number of alleles and PIC values were 1.6 and 10 %, respectively. These Results showed that although the STS markers detected a reduced level of genetic diversity, the transferability was higher, indicating that they can be used for genetic analysis when evaluating less genetically related species of Oryza. Among the microsatellite markers, an analysis of species with an AA genome showed that the OG markers produced the highest level of polymorphic loci (54.6 %), followed by RM markers (48 %). Highly polymorphic and transferable molecular markers in Oryza can be useful for exploiting the genetic resources of this genus, for detecting allelic variants in loci associated with important agronomic traits, and for monitoring alleles introgressed from wild relatives to cultivated rice.     

Extracting DNA from submerged pine wood.

A DNA extraction protocol for submerged pine logs was developed with the following properties: (i) high molecular weight DNA, (ii) PCR amplification of chloroplast and nuclear sequences, and (iii) high sequence homology to voucher pine specimens. The DNA extraction protocol was modified from a cetyltrimehtylammonium bromide (CTAB) protocol by adding stringent electrophoretic purification, proteinase K, RNAse, polyvinyl pyrrolidone (PVP), and Gene Releaser. Chloroplast rbcL (ribulose-1,5-bisphosphate carboxylase) could be amplified. Nuclear ribosomal sequences had >95% homology to Pinus taeda and Pinus palustris. Microsatellite polymorphism for PtTX2082 matched 2 of 14 known P. taeda alleles. Our results show DNA analysis for submerged conifer wood is feasible.     

Genome-wide development and utilization of novel intron-length polymorphic (ILP) markers in <Emphasis Type="Italic">Medicago sativa</Emphasis>

Alfalfa (Medicago sativa L.) is the most widely cultivated forage legume around the world. Though development and application of microsatellite markers in large-scale was reported in this species, a systematic investigation and large-scale exploitation of intron-length polymorphic (ILP) markers has not been conducted. In the present study, the RNA-Seq sequences of alfalfa were aligned with the genomic sequences of Arabidopsis to predict the position of introns and develop ILP markers in alfalfa. A total of 693 putative ILPs were identified, and 502 ILP markers were successfully developed. Furthermore, 100 ILP markers exhibited relatively high levels of transferability to leguminous (40.0%–83.0%) and non-leguminous (21.0%–22.0%) species. Polymorphisms in 40 randomly selected MsILP markers were evaluated in 21 alfalfa accessions and collectively yielded 169 alleles with an average of 4.7 alleles per locus. The polymorphism information content (PIC) ranged from 0.15 to 0.87 with an average of 0.60, which indicated a high level of polymorphism in the MsILP markers. For the first time, we developed large-scale ILP markers in alfalfa and demonstrated their utility in transferability, which will be valuable for genetic relationship assessments, comparative genomic studies and marker-assisted breeding of leguminous and non-leguminous species.     

Development of microsatellite marker loci for European hazelnut (<Emphasis Type="Italic">Corylus avellana</Emphasis> L.) from ISSR fragments

Polymorphic microsatellite markers were developed for European hazelnut (Corylus avellana L.) from the sequences of inter-simple sequence repeat (ISSR) fragments and flanking regions. Twenty-five ISSR primers were used to generate fragments for cloning. Of the 520 unique sequences obtained, 41 contained long internal repeats (≥20 bp) with flanking sequences sufficient for primer design. From these, we developed 23 new polymorphic microsatellite loci. The flanking sequences were obtained for fragment ends by chromosome walking, and an additional 47 polymorphic markers were developed. Two additional polymorphic markers were developed from a GA-enriched library. The 72 new marker loci were characterized using 50 diverse hazelnut accessions. For the internal repeat loci, the number of alleles per locus ranged from 2 to 16, with a mean of 7.52. Mean values for expected heterozygosity (H_e), observed heterozygosity (H_o), and polymorphism information content (PIC) were 0.62, 0.59, and 0.58, respectively. The estimated frequency of null alleles (r) was ≥0.05 at six of the 23 loci. For the 47 marker loci developed from fragment ends, the number of alleles per locus ranged from 2 to 16, with a mean of 7.30. Mean values for H_e, H_o, and PIC were 0.62, 0.47, and 0.58, respectively. The estimated frequency of null alleles (r) was ≥0.10 at 18 of the 47 loci. Of the 70 loci developed from ISSR and flanking sequences, 50 segregated in our mapping population and were assigned to linkage groups.     

A minisatellite and a microsatellite polymorphism within 1.5 kb at the human muscle glycogen phosphorylase (PYGM) locus can be amplified by PCR and have combined informativeness of PIC 0.95.

We sequenced a genomic clone (pMCMP1), previously reported to detect a VNTR polymorphism at the PYGM locus, and found a dinucleotide repeat segment (CA)14(GA)25 and a complex (AT)-repeat-rich segment containing 63 repeats spanning 160 bp. Resolution of PCR-amplified genomic DNA from the (CA)(GA) repeat region on DNA sequencing gels revealed a highly informative polymorphism with alleles differing by 2-bp intervals and ranging in size from 156 to 190 bp. Among three racial groups, a total of 18 alleles were observed. Fourteen alleles were observed in Caucasians (PIC 0.89), 12 alleles in American Blacks (PIC 0.89), and 9 alleles in Pima Indians (PIC 0.73). PCR amplification of the (AT) repeat region and resolution of the products on DNA sequencing gels revealed a complex variable length polymorphism with alleles distributed in size from 367 to 970 bp. Twenty-eight alleles were found in American Blacks (PIC 0.94), 6 alleles in Pima Indians (PIC 0.70), and 11 alleles in Caucasians (PIC 0.71). Comparison of the previously described VNTR RFLP alleles visualized by Southern hybridization to the PCR products described in this report demonstrated that the polymorphism described in both assays was identical. However, a larger number of alleles could be detected from the PCR-amplified products. Combined informativeness, PIC 0.95, for the two polymorphisms was determined from haplotype analysis of 100 Caucasian chromosomes. Therefore, for genotyping purposes, informativeness is maximized from using both polymorphisms.     

猕猴桃野生居群的SSR分析初报

采用SSR分子标记技术对我国猕猴桃的2个商业栽培物种——中华猕猴桃和美味猕猴桃的9个天然居群(共221个样)的遗传多样性进行了初步分析。通过对14对猕猴桃引物的筛选,8对重现性好的引物扩增结果表现出良好的多态性。在8个多态性位点上共获得222个等位基因。居群等位基因平均数A=17．3,多态位点百分率P-100,多态信息指数PIC为0．87～0．96,显示出我国的猕猴桃野生居群具有极高的遗传多样性。中华猕猴桃和美味猕猴桃野生居群拥有高比例的共同等位基因,反映出二者的亲缘关系极近。     

猪F2设计资源家系中4条染色体微卫星标记分析

利用中国地方猪种蓝塘猪(16头母猪)与外来品种长白猪(8头公猪)按F2设计建立资源家系, 根据美国肉畜中心(USDA-MARC 2.0)公布的猪连锁图谱, 在1、4、7和8号染色体上间隔10~20 cM选择一个微卫星标记, 共31个标记, 采用WAVEÒ核苷酸片段分析系统和ABI 377 DNA序列分析仪检测资源群体的P、F1和F2代个体微卫星的基因型, 对其基因频率、杂合度和多态信息含量等进行统计分析。结果发现: 利用ABI 377检测的猪1、4和8号染色体上的有效微卫星标记21个, 其中13个标记的18个等位基因片段大小超过了网上已报道的结果, 发现新等位基因的标记占62%; 在31个微卫星标记中, 杂合度(h)在0.043~0.7855之间, 总平均杂合度为0.6460, 其中70%座位的h>0.60; 总平均多态信息含量(PIC)为0.5949, 有77.4%位点的PIC>0.5。统计分析结果表明, 选用的微卫星标记能够较好地提供标记信息, 为进一步在该家系中进行猪重要性状的QTL定位打下了良好的基础。     

Development and characterization of microsatellite markers for Cryptomeria japonica D.Don

Thirty four microsatellite markers for Cryptomeria japonica D. Don were developed by searching three types of library: a database of C. japonica cDNA sequences, a standard non-enriched genomic DNA library and a microsatellite-enriched library using magnetic particles. The enrichment of microsatellite sequences using magnetic particles is very efficient compared to the other two methods both in terms of the numbers of markers generated, and in the polymorphism they detect. The microsatellites developed from the genomic DNA library generally have longer repeat sequences and are more polymorphic than those from cDNA. All the developed microsatellite markers in this study showed polymorphism among 28 plus trees selected from locations scattered throughout Japan. The mean number of alleles per locus (MNA) detected in the 28 plus trees ranged from 2 to 21 with an average of 7.5. The Polymorphism Information Content (PIC) ranged from 0.160 to 0.936 with an average of 0.666. Co-dominant segregation of alleles in a three-generation pedigree of C. japonica was demonstrated at 34 microsatellite loci, and the segregation was not distorted from Mendelian expectation for all loci. In 12 out of 34 loci, a null allele was detected. Key relationships between polymorphic parameters, such as MNA and PIC, and the characteristics of microsatellite sequences, such as the longest repeat number, total repeat number and total number of nucleotides, were investigated using rank correlation coefficients, Kendall's tau. A positive correlation was found between repeat lengths and polymorphisms. The markers provide sufficient resolution for investigating gene flow within forests and seed orchards, and for genome mapping.     

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.     

No clustering for linkage map based on low-copy and undermethylated microsatellites.

Clustering has been reported for conifer genetic maps based on hypomethylated or low-copy molecular markers, resulting in uneven marker distribution. To test this, a framework genetic map was constructed from three types of microsatellites: low-copy, undermethylated, and genomic. These Pinus taeda L. microsatellites were mapped using a three-generation pedigree with 118 progeny. The microsatellites were highly informative; of the 32 markers in intercross configuration, 29 were segregating for three or four alleles in the progeny. The sex-averaged map placed 51 of the 95 markers in 15 linkage groups at LOD > 4.0. No clustering or uneven distribution across the genome was observed. The three types of P. taeda microsatellites were randomly dispersed within each linkage group. The 51 microsatellites covered a map distance of 795 cM, an average distance of 21.8 cM between markers, roughly half of the estimated total map length. The minimum and maximum distances between any two bins was 4.4 and 45.3 cM, respectively. These microsatellites provided anchor points for framework mapping for polymorphism in P. taeda and other closely related hard pines.     

Standardization and conversion of marker polymorphism measures

Large scale gene mapping efforts in domestic animals have generated and mapped a large number of genetic markers that are useful for mapping quantitative trait and disease loci and for DNA diagnostic purposes such as parentage testing. Marker polymorphism is an important criterion for selecting genetic markers in planning experiment for mapping quantitative trait loci or for DNA diagnostic purposes. Current formulations of marker polymorphism measures are functions of marker allele frequencies. In this study, two measures of marker polymorphism that are available from gene mapping studies and do not require allele frequencies were proposed and analyzed: the observed polymorphic information content (PIC) and the observed family information content (FIC). The observed FIC was more stable than the observed PIC because the observed FIC is unaffected by the variation in the frequency of heterozygous parents. However, both FIC and PIC are dependent on the gene mapping design. The effective number of alleles is recommended as a tool to standardize marker polymorphism measures so that polymorphism of different markers can be compared on an equal basis, and to obtain a new polymorphism measure (such an exclusion probability) from an existing measure (such as FIC). The usage of the effective number of alleles to standardize FIC, PIC and exclusion probabilities is illustrated using genetic markers in a published linkage map.     

Analysis of gene-derived SNP marker polymorphism in US wheat (Triticum aestivum L.) cultivars

In this study, we developed 359 detection primers for single nucleotide polymorphisms (SNPs) previously discovered within intron sequences of wheat genes and used them to evaluate SNP polymorphism in common wheat (Triticum aestivum L.). These SNPs showed an average polymorphism information content (PIC) of 0.18 among 20 US elite wheat cultivars, representing seven market classes. This value increased to 0.23 when SNPs were pre-selected for polymorphisms among a diverse set of 13 hexaploid wheat accessions (excluding synthetic wheats) used in the wheat SNP discovery project (). PIC values for SNP markers in the D genome were approximately half of those for the A and B genomes. D genome SNPs also showed a larger PIC reduction relative to the other genomes (P < 0.05) when US cultivars were compared with the more diverse set of 13 wheat accessions. Within those accessions, D genome SNPs show a higher proportion of alleles with low minor allele frequencies (<0.125) than found in the other two genomes. These data suggest that the reduction of PIC values in the D genome was caused by differential loss of low frequency alleles during the population size bottleneck that accompanied the development of modern commercial cultivars. Additional SNP discovery efforts targeted to the D genome in elite wheat germplasm will likely be required to offset the lower diversity of this genome. With increasing SNP discovery projects and the development of high-throughput SNP assay technologies, it is anticipated that SNP markers will play an increasingly important role in wheat genetics and breeding applications. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Standardization and conversion of marker polymorphism measures

Abstract

Large scale gene mapping efforts in domestic animals have generated and mapped a large number of genetic markers that are useful for mapping quantitative trait and disease loci and for DNA diagnostic purposes such as parentage testing. Marker polymorphism is an important criterion for selecting genetic markers in planning experiment for mapping quantitative trait loci or for DNA diagnostic purposes. Current formulations of marker polymorphism measures are functions of marker allele frequencies. In this study, two measures of marker polymorphism that are available from gene mapping studies and do not require allele frequencies were proposed and analyzed: the observed polymorphic information content (PIC) and the observed family information content (FIC). The observed FIC was more stable than the observed PIC because the observed FIC is unaffected by the variation in the frequency of heterozygous parents. However, both FIC and PIC are dependent on the gene mapping design. The effective number of alleles is recommended as a tool to standardize marker polymorphism measures so that polymorphism of different markers can be compared on an qual basis, and to obtain a new polymorphism measure (such an exclusion probability) from an existing measure (such as FIC). The usage of the effective number of alleles to standardize FIC, PIC and exclusion probabilities is illustrated using genetic markers in a published linkage map.     

Genetic variation and identification of promising sour cherries inferred from microsatellite markers

The aim of this study was to identify the group of highly polymorphic microsatellite markers for identification of promising sour cherries. From among 30 tested microsatellite (SSR) markers, 19 were selected to profile genetic variation in sour cherries due to high polymorphisms. Results indicated a high level of polymorphism of the accessions based on these markers. Totally 148 alleles were generated at 19 SSR loci which 122 alleles were polymorphic. The number of total alleles per locus ranged from 2 to 15 with an average of 7.78 and polymorphism percentage varied from 50 to 100% with an average of 78.76%. Also, PIC varied from 0.47 to 0.89 with an average of 0.79 and heterozygosity ranged from 0.35 to 0.55 with a mean of 0.45. According to these results, these markers specially PMS3, PS12A02, PceGA34, BPPCT021, EMPA004, EMPA018, and Pchgms3 produced good and various levels of amplifications and showed high heterozygosity levels. By the way, the genetic similarity showed a high diversity among the sour cherries. Cluster analysis separated improved cultivars from promising sour cherries, and the PCoA supported the cluster analysis results. Since the studied sour cherries were superior to the improved cultivars and were separated from them in most groups, these sour cherries can be considered as distinct genotypes for further evaluations in the framework of breeding programs and new cultivar identification in cherries. Results also confirmed that the set of microsatellite markers employed in this study demonstrated usefulness of microsatellite markers for the identification of sour cherry genotypes.     

Microsatellite marker diversity in common bean (Phaseolus vulgaris L.)

A diversity survey was used to estimate allelic diversity and heterozygosity of 129 microsatellite markers in a panel of 44 common bean (Phaseolus vulgaris L.) genotypes that have been used as parents of mapping populations. Two types of microsatellites were evaluated, based respectively on gene coding and genomic sequences. Genetic diversity was evaluated by estimating the polymorphism information content (PIC), as well as the distribution and range of alleles sizes. Gene-based microsatellites proved to be less polymorphic than genomic microsatellites in terms of both number of alleles (6.0 vs. 9.2) and PIC values (0.446 vs. 0.594) while greater size differences between the largest and the smallest allele were observed for the genomic microsatellites than for the gene-based microsatellites (31.4 vs. 19.1 bp). Markers that showed a high number of alleles were identified with a maximum of 28 alleles for the marker BMd1. The microsatellites were useful for distinguishing Andean and Mesoamerican genotypes, for uncovering the races within each genepool and for separating wild accessions from cultivars. Greater polymorphism and race structure was found within the Andean gene pool than within the Mesoamerican gene pool and polymorphism rate between genotypes was consistent with genepool and race identity. Comparisons between Andean genotypes had higher polymorphism (53.0%) on average than comparisons among Mesoamerican genotypes (33.4%). Within the Mesoamerican parental combinations, the intra-racial combinations between Mesoamerica and Durango or Jalisco race genotypes showed higher average rates of polymorphism (37.5%) than the within-race combinations between Mesoamerica race genotypes (31.7%). In multiple correspondance analysis we found two principal clusters of genotypes corresponding to the Mesoamerican and Andean gene pools and subgroups representing specific races especially for the Nueva Granada and Peru races of the Andean gene pool. Intra population diversity was higher within the Andean genepool than within the Mesoamerican genepool and this pattern was observed for both gene-based and genomic microsatellites. Furthermore, intra-population diversity within the Andean races (0.356 on average) was higher than within the Mesoamerican races (0.302). Within the Andean gene pool, race Peru had higher diversity compared to race Nueva Granada, while within the Mesoamerican gene pool, the races Durango, Guatemala and Jalisco had comparable levels of diversity which were below that of race Mesoamerica.     

Microsatellite marker-mediated analysis of the EMBRAPA Rice Core Collection genetic diversity

The objectives of this study were to determine the genetic structure of 242 accessions from the EMBRAPA Rice Core Collection (ERiCC), to create a mini-core collection and to develop a multiplex panel of fluorescent labeled simple sequence repeats (SSRs). Eighty-six SSRs were used to identify 1,066 alleles, with an average number of 12.4 alleles/locus and average polymorphism information content (PIC)/locus of 0.75. A model-based clustering method recognized the structure of the accessions on two levels, according to their cultivation system and origin. The most divergent subgroup identified was the worldwide lowland accessions, with the highest values for gene diversity (0.75), average Rogers distance modified by Wright (0.80), average number of alleles/locus (11.7) and private alleles (132). A mini-core was assembled with the most divergent 24 lowland and upland accessions. This mini-core displayed an average distance of 0.86, an average number of alleles/locus of 8.4 and an average PIC/locus of 0.8. From the 86 SSRs, 24 were selected to compose six multiplex panels in order to optimize the process of rice genotyping. This set of markers distinguished all 242 accessions, and showed an average PIC of 0.80 and an average number of alleles/locus of 15.4, higher than the entire set of 86 SSRs. Since the heterogeneity found in lines and cultivars of ERiCC was higher than expected, it is necessary to analyze pooled DNA samples to get a better estimate of genetic variability. The SSR characterization of ERiCC clearly indicates that there is high genetic variability in rice accessions stored in genebanks worldwide which can be promptly explored by rice pre-breeding programs.     

Development of simple sequence repeat markers and diversity analysis in alfalfa (Medicago sativa L.)

Efficient and robust molecular markers are essential for molecular breeding in plant. Compared to dominant and bi-allelic markers, multiple alleles of simple sequence repeat (SSR) markers are particularly informative and superior in genetic linkage map and QTL mapping in autotetraploid species like alfalfa. The objective of this study was to enrich SSR markers directly from alfalfa expressed sequence tags (ESTs). A total of 12,371 alfalfa ESTs were retrieved from the National Center for Biotechnology Information. Total 774 SSR-containing ESTs were identified from 716 ESTs. On average, one SSR was found per 7.7 kb of EST sequences. Tri-nucleotide repeats (48.8 %) was the most abundant motif type, followed by di—(26.1 %), tetra—(11.5 %), penta—(9.7 %), and hexanucleotide (3.9 %). One hundred EST–SSR primer pairs were successfully designed and 29 exhibited polymorphism among 28 alfalfa accessions. The allele number per marker ranged from two to 21 with an average of 6.8. The PIC values ranged from 0.195 to 0.896 with an average of 0.608, indicating a high level of polymorphism of the EST–SSR markers. Based on the 29 EST–SSR markers, assessment of genetic diversity was conducted and found that Medicago sativa ssp. sativa was clearly different from the other subspecies. The high transferability of those EST–SSR markers was also found for relative species.     

Large-scale development of PIP and SSR markers and their complementary applied in Nicotiana

PIP (Potential Intron Polymorphism) and SSR (Simple Sequence Repeats) were used in many species, but large-scale development and combined use of these two markers have not been reported in tobacco. In this study, a total of 12,388 PIP and 76,848 SSR markers were designed and uploaded to a webaccessible database (http://yancao.sdau.edu.cn/tgb/). E-PCR analysis showed that PIP and SSR rarely over-lapped and were strongly complementary in the tobacco genome. The density of markers was 3.07 PIP and 1.72 SSR per 10 kb of the known sequences. A total of 153 and 166 alleles were detected by 22 PIP and 22 SSR markers in 64 Nicotiana accessions. SSR produced higher PIC (polymorphism information content) values and identified more alleles than PIP, whereas PIP could identify larger numbers of rare alleles. Mantel testing demonstrated a high correlation coefficient (r = 0.949, P < 0.001) between PIP and SSR. The UPGMA dendrogram created from the combined PIP and SSR markers was clearer and more reliable than the individual PIP or SSR dendrograms. It suggested that PIP and SSR can make up the deficiency of molecular markers not only in tobacco but other plant.