Molecular marker systems in insects: current trends and future avenues

Insects comprise the largest species composition in the entire animal kingdom and possess a vast undiscovered genetic diversity and gene pool that can be better explored using molecular marker techniques. Current trends of application of DNA marker techniques in diverse domains of insect ecological studies show that mitochondrial DNA (mtDNA), microsatellites, random amplified polymorphic DNA (RAPD), expressed sequence tags (EST) and amplified fragment length polymorphism (AFLP) markers have contributed significantly for progresses towards understanding genetic basis of insect diversity and for mapping medically and agriculturally important genes and quantitative trait loci in insect pests. Apart from these popular marker systems, other novel approaches including transposon display, sequence-specific amplification polymorphism (S-SAP), repeat-associated polymerase chain reaction (PCR) markers have been identified as alternate marker systems in insect studies. Besides, whole genome microarray and single nucleotide polymorphism (SNP) assays are becoming more popular to screen genome-wide polymorphisms in fast and cost effective manner. However, use of such methodologies has not gained widespread popularity in entomological studies. The current study highlights the recent trends of applications of molecular markers in insect studies and explores the technological advancements in molecular marker tools and modern high throughput genotyping methodologies that may be applied in entomological researches for better understanding of insect ecology at molecular level.     

High‐throughput microsatellite genotyping in ecology: improved accuracy,efficiency, standardization and success with low‐quantity and degraded DNA

Microsatellite markers have played a major role in ecological, evolutionary and conservation research during the past 20 years. However, technical constrains related to the use of capillary electrophoresis and a recent technological revolution that has impacted other marker types have brought to question the continued use of microsatellites for certain applications. We present a study for improving microsatellite genotyping in ecology using high‐throughput sequencing (HTS). This approach entails selection of short markers suitable for HTS, sequencing PCR‐amplified microsatellites on an Illumina platform and bioinformatic treatment of the sequence data to obtain multilocus genotypes. It takes advantage of the fact that HTS gives direct access to microsatellite sequences, allowing unambiguous allele identification and enabling automation of the genotyping process through bioinformatics. In addition, the massive parallel sequencing abilities expand the information content of single experimental runs far beyond capillary electrophoresis. We illustrated the method by genotyping brown bear samples amplified with a multiplex PCR of 13 new microsatellite markers and a sex marker. HTS of microsatellites provided accurate individual identification and parentage assignment and resulted in a significant improvement of genotyping success (84%) of faecal degraded DNA and costs reduction compared to capillary electrophoresis. The HTS approach holds vast potential for improving success, accuracy, efficiency and standardization of microsatellite genotyping in ecological and conservation applications, especially those that rely on profiling of low‐quantity/quality DNA and on the construction of genetic databases. We discuss and give perspectives for the implementation of the method in the light of the challenges encountered in wildlife studies.     

A Polymerase Chain Reaction Screening Method for Rapid Detection of Microsatellites in Bacterial Artificial Chromosomes

Standard protocols aimed at identifying subclones of interest from bacterial artificial chromosomes (BACs) include the use of hybridization methods that are time consuming and often require the use of radioactive isotopes. Through our efforts to identify microsatellites in BACs from rainbow trout (Oncorhynchus mykiss) we have developed a nonradioactive polymerase chain reaction (PCR)-based screening technique to select microsatellites containing subclones for marker development. Two BACs were subcloned and screened by PCR using a vector-specific primer and a mix of microsatellite repeat primers. The subclones were then sequenced to evaluate the efficiency of the PCR screening method. Correlation between positive PCR amplification and presence of microsatellites varied between the two BACs (21.9% and 71.4%), but still a sufficient number of subclones were identified to enable design and optimization of microsatellite markers.     

An essay on the necessity and feasibility of conservation genomics

The basic premise of conservation genetics is that small populations may be genetically threatened. The two steps leading to this premise are: (1) due to prominent influence of random genetic drift and inbreeding allelic and genotypic diversity in small populations is expected to be low, and (2) low allelic diversity and high homozygosity are expected to lead to immediate fitness decreases (inbreeding depression) and a compromised potential for evolutionary adaptation. Conservation genetic research has been strongly stimulated by the application of neutral molecular markers like microsatellites and AFLPs. In general these marker studies have provided evidence for step 1. It is less evident how these markers may provide evidence for step 2. In this essay we argue that, in order to get detailed insight in step 2, adopting a conservation genomic approach, in which conservation genetics will use approaches from ecological and evolutionary functional genomics (ecogenomics), is both necessary and feasible. Conservation genomics is necessary for studying functional genomic variation as function of drift and inbreeding, for studying the mechanisms that relate low genetic variation to low fitness, for integrating environmental and genetic approaches to conservation biology, and for developing modern, fast monitoring tools. The rapid technical and financial developments in genomics currently make conservation genomics feasible, and will improve feasibility in the very near future even further. We therefore argue that conservation genomics personifies part of the near future of conservation genetics.     

A high-density linkage map of Theobroma cacao L.

The first linkage map established by Lanaud et al. (1995) was used as a starting point to produce a high-density molecular linkage map. A mapping population of 181 progenies resulting from a cross between two heterozygous genotypes, a Forastero and a Trinitario (hybrid between Forastero and Criollo), was used for the linkage analysis. A new DNA isolation protocol was established, which allows enough good quality DNA to construct a genetic map with PCR-based markers. The map comprises 424 markers with an average spacing between markers of 2.1 cM. The marker types used were five isozymes, six loci from known function genes, 65 genomic RFLPs, 104 cDNA RFLPs, three telomeric probes, 30 RAPDs, 191 AFLPs and 20 microsatellites. The use of new marker types, AFLP and microsatellites, did not disturb the original order of the RFLP loci used on the previous map. The genetic markers were distributed over ten linkage groups and cover 885.4 cM. The maximum distance observed between adjacent markers was 16.2 cM, and 9.4% of all loci showed skewed segregation. Received: 2 January 2000 / Accepted: 12 February 2000     

RAPD标记与作物改良

建立于ＤＮＡ基础之上的分子标记对于作物改良和多态性研究具有重要作用。     

Comparison of anonymous and targeted molecular markers for the estimation of genetic diversity in <Emphasis Type="Italic">ex situ</Emphasis> conserved <Emphasis Type="Italic">Lactuca</Emphasis>

The anonymous marker systems microsatellites (simple sequence repeats), amplified fragment length polymorphisms and sequence-specific amplified polymorphisms were compared with the targeted marker systems sequence-related amplified polymorphisms, target region amplification polymorphisms and nucleotide binding site profiling for their ability to describe the genetic diversity in a selected set of 80 Lactuca accessions. The accessions were also described morphologically, and all characterisation methods were evaluated against the genetic diversity assessed by a panel of three crop experts. The morphological data showed a low level of association with the molecular data, and did not display a consistently better relationship with the experts’ assessments in comparison with the molecular data. In general, the diversity described by the targeted molecular markers did not differ markedly from that of the anonymous markers, resulting in only slight differences in performance when related to the expert-based assessments. It was argued that markers targeted to specific gene sequences may still behave as anonymous markers and that the type of marker system used is irrelevant when at low taxonomic levels a clear genetic structure is absent due to intensive breeding activities.     

Combining population genomics and quantitative genetics: finding the genes underlying ecologically important traits

A central challenge in evolutionary biology is to identify genes underlying ecologically important traits and describe the fitness consequences of naturally occurring variation at these loci. To address this goal, several novel approaches have been developed, including 'population genomics,' where a large number of molecular markers are scored in individuals from different environments with the goal of identifying markers showing unusual patterns of variation, potentially due to selection at linked sites. Such approaches are appealing because of (1) the increasing ease of generating large numbers of genetic markers, (2) the ability to scan the genome without measuring phenotypes and (3) the simplicity of sampling individuals without knowledge of their breeding history. Although such approaches are inherently applicable to non-model systems, to date these studies have been limited in their ability to uncover functionally relevant genes. By contrast, quantitative genetics has a rich history, and more recently, quantitative trait locus (QTL) mapping has had some success in identifying genes underlying ecologically relevant variation even in novel systems. QTL mapping, however, requires (1) genetic markers that specifically differentiate parental forms, (2) a focus on a particular measurable phenotype and (3) controlled breeding and maintenance of large numbers of progeny. Here we present current advances and suggest future directions that take advantage of population genomics and quantitative genetic approaches - in both model and non-model systems. Specifically, we discuss advantages and limitations of each method and argue that a combination of the two provides a powerful approach to uncovering the molecular mechanisms responsible for adaptation.     

A simple method for isolation of microsatellites from the Japanese squirrel,Sciurus lis,without constructing a genomic library

We developed a simple and easy method to isolate microsatellites without screening genomic libraries by hybridization. The method requires only three basic techniques: polymerase chain reaction, DNA cloning and sequencing. We applied this method to develop microsatellite markers for the Japanese squirrel and isolated 45 clones that contained repetitive sequences. Among the 22 clones that we tested further, we found 11 diagnostic microsatellite loci that are applicable to the molecular ecological study of Japanese squirrels.     

Development of microsatellite markers in the toxic dinoflagellate Alexandrium catenella (Dinophyceae)

The outbreak of paralytic shellfish poisoning caused by the toxic dinoflagellate Alexandrium catenella (Dinophyceae) is a worldwide concern from the economic and food hygiene point of view. To assess the dispersal mechanism, a population genetic study using highly polymorphic genetic markers is one of the crucial approaches. We isolated 12 polymorphic microsatellites from this species. These loci provide one class of highly variable genetic marker as the number of alleles ranged from three to 12 and the estimate of gene diversity was from 0.248 to 0.897 across the 12 microsatellites; we consider that these loci have a potential to detail the genetic structure and gene flow among A. catenella populations.     

Characterization and comparison of microsatellites derived from repeat-enriched libraries and expressed sequence tags

The construction of high-density linkage maps for use in identifying loci underlying important traits requires the development of large numbers of polymorphic genetic markers spanning the entire genome at regularly spaced intervals. As part of our efforts to develop markers for rainbow trout (Oncorhynchus mykiss), we performed a comparison of allelic variation between microsatellite markers developed from expressed sequence tag (EST) data and anonymous markers identified from repeat-enriched libraries constructed from genomic DNA. A subset of 70 markers (37 from EST databases and 33 from repeat enriched libraries) was characterized with respect to polymorphism information content (PIC), number of alleles, repeat number, locus duplication within the genome and ability to amplify in other salmonid species. Higher PIC was detected in dinucleotide microsatellites derived from ESTs than anonymous markers (72.7% vs. 54.0%). In contrast, dinucleotide repeat numbers were higher for anonymous microsatellites than for EST derived microsatellites (27.4 vs.18.1). A higher rate of cross-species amplification was observed for EST microsatellites. Approximately half of each marker type was duplicated within the genome. Unlike single-copy markers, amplification of duplicated microsatellites in other salmonids was not correlated to phylogenetic distance. Genomic microsatellites proved more useful than EST derived microsatellites in discriminating among the salmonids. In total, 428 microsatellite markers were developed in this study for mapping and population genetic studies in rainbow trout.     

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.     

Microsatellites and single nucleotide polymorphisms in avian hybrid identification: a comparative case study

The correct identification of hybrids is essential in avian hybridisation studies, but selection of the appropriate set of genetic markers for this purpose is at times complicated. Microsatellites and single nucleotide polymorphisms (SNPs) are currently the most commonly used markers in this field. We compare the efficiency of these two marker types, and their combination, in the identification of the threatened avian species, the greater spotted eagle and the lesser spotted eagle, as well as hybrids between the two species. We developed novel SNP markers from genome-wide distributed 122 candidate introns using only sympatric samples, and tested these markers successfully in 60 sympatric and allopatric spotted eagles using Bayesian model-based approaches. Comparatively, only one out of twelve previously described avian nuclear intron markers showed significant species-specific allele frequency difference, thus stressing the importance of selecting the proper markers. Twenty microsatellites outperformed selected nine SNPs in species identification, but were poorer in hybrid detection, whereas the resolution power of ten microsatellites remained too low for correct assignment. A combination of SNPs and microsatellites resulted in the most efficient and accurate identification of all individuals. Our study shows that the use of various sets of markers could lead to strikingly different assignment results, hybridisation studies may have been affected by too low a resolution power of used markers, and that an appropriate set of markers is essential for successful hybrid identification.     

Challenges in analysis and interpretation of microsatellite data for population genetic studies

Advancing technologies have facilitated the ever‐widening application of genetic markers such as microsatellites into new systems and research questions in biology. In light of the data and experience accumulated from several years of using microsatellites, we present here a literature review that synthesizes the limitations of microsatellites in population genetic studies. With a focus on population structure, we review the widely used fixation (F_ST) statistics and Bayesian clustering algorithms and find that the former can be confusing and problematic for microsatellites and that the latter may be confounded by complex population models and lack power in certain cases. Clustering, multivariate analyses, and diversity‐based statistics are increasingly being applied to infer population structure, but in some instances these methods lack formalization with microsatellites. Migration‐specific methods perform well only under narrow constraints. We also examine the use of microsatellites for inferring effective population size, changes in population size, and deeper demographic history, and find that these methods are untested and/or highly context‐dependent. Overall, each method possesses important weaknesses for use with microsatellites, and there are significant constraints on inferences commonly made using microsatellite markers in the areas of population structure, admixture, and effective population size. To ameliorate and better understand these constraints, researchers are encouraged to analyze simulated datasets both prior to and following data collection and analysis, the latter of which is formalized within the approximate Bayesian computation framework. We also examine trends in the literature and show that microsatellites continue to be widely used, especially in non‐human subject areas. This review assists with study design and molecular marker selection, facilitates sound interpretation of microsatellite data while fostering respect for their practical limitations, and identifies lessons that could be applied toward emerging markers and high‐throughput technologies in population genetics.     

Isolation and characterization of 70 novel microsatellite markers from ostrich (Struthio camelus) genome.

Microsatellite markers are widely used in linkage mapping, parentage testing, population genetic studies, and molecular evolution studies in many agricultural species, while only a limited number of ostrich (Struthio camelus) microsatellites have been isolated. Thus, we constructed a random small-insert genomic library and a microsatellite-enriched library containing CA repeats. Fourteen clones containing CA repeats were isolated from 3462 clones in the non-enriched library by radioactive screening and 248 positive clones were isolated from 300 sequenced clones from the enriched library by PCR screening. After the enrichment procedures, the proportion of clones containing CA repeats was raised to 78.8%, compared with 0.4% in the non-enriched libraries, indicating that the enrichment value approaches 200 fold, which decreased the time and cost of cloning. The number of complete simple CA repeats in these positive clones ranged from 5 to 29. The primers for 94 of these microsatellites were developed and used to detect polymorphisms, of which 61 loci exhibited length polymorphisms in 17 unrelated ostrich individuals. The new polymorphic microsatellite markers we have identified and characterized will contribute to the ostrich genetic map, parentage testing, and comparative genomics between avian species.     

Isolation of novel microsatellites using FIASCO by dual probe enrichment from Jatropha curcas L. and study on genetic equilibrium and diversity of Indian population revealed by isolated microsatellites

Jatropha curcas L. belongs to family Euphorbiaceae, native to South America attained significant importance for its seed oil which can be converted to biodiesel, a renewable energy source alternative to conventional petrodiesel. Very few attempts were made to isolate novel microsatellite markers and assessment of the extent of genetic equilibrium and diversity that exists in J. curcas. Therefore, the present investigation was undertaken to isolate the novel microsatellites and access genetic equilibrium, diversity that exists among 44 diverse germplasm collected from distinct geographical areas in India using isolated microsatellites. The overall efficiency of the enrichment of microsatellite by dual probe in the present study found to be 54% and among the sequences obtained the percentage of sequences having suitable flanking regions for the primer designing was found to be 89.58%. The mean co-efficient of genetic similarity (CGS) was found to be 0.97. The overall diversity obtained by microsatellites was found to be low in comparison with the diversity reported by multilocus markers systems observed in earlier studies; however, the good allele polymorphism was observed. The overall dendrogram of microsatellite analysis resulted in random clustering of germplasm and not in accordance to geographical area of collection. The present study, diversity analysis using microsatellite markers concludes the low genetic diversity and genetic disequlibrium of J. curcas in India and will provide pavement for further intra-population studies on narrow geographical areas to understand the population genetic structure, phylogeography and molecular ecological studies. The germplasm characterized, and the microsatellite markers isolated and characterized in the present study can be employed efficiently in breeding programs for genetic improvement of the species through marker assisted selection and QTL analysis, for further genetic resource management and help in making the J. curcas as potential crop with superior agronomical traits.     

Genetic mapping of a new set of microsatellite markers in a reference common bean (Phaseolus vulgaris) population BAT93 x Jalo EEP558

The present study describes a new set of 61 polymorphic microsatellite markers for beans and the construction of a genetic map using the BAT93 x Jalo EEP558 (BJ) population for the purpose of developing a reference linkage map for common bean (Phaseolus vulgaris). The main objectives were to integrate new microsatellites on the existing framework map of the BJ population, and to develop the first linkage map for the BJ population based exclusively on microsatellites. Of the total of 264 microsatellites evaluated for polymorphism, 42.8% showed polymorphism between the genitors. An integrated map was created totaling 199 mapped markers in 13 linkage groups, with an observed length of 1358 cM and a mean distance between markers of 7.23 cM. For the map constructed exclusively with microsatellites, 106 markers were placed in 12 groups with a total length of 606.8 cM and average distance of 6.8 cM. Linkage group designation and marker order for BM microsatellites generally agreed with previous mapping, while the new microsatellites were well distributed across the genome, corroborating the utility of the BJ population for a reference map. The extensive use of the microsatellites and the availability of a reference map can help in the development of other genetic maps for common bean through the transfer of information of marker order and linkage, which will allow comparative analysis and map integration, especially for future quantitative trait loci and association mapping studies.     

Waste not,want not: Microsatellites remain an economical and informative technology for conservation genetics

Comparisons of microsatellites and single‐nucleotide polymorphisms (SNPs) have found that SNPs outperform microsatellites in population genetic analyses, questioning the continued utility of microsatellites in population and landscape genetics. Yet, highly polymorphic markers may be of value in species that have reduced genetic variation. This study repeated previous analyses that used microsatellites with SNPs developed from ddRAD sequencing in the black‐capped vireo source‐sink system. SNPs provided greater resolution of genetic diversity, population differentiation, and migrant detection but could not reconstruct parentage relationships due to insufficient heterozygosities. The biological inferences made by both sets of markers were similar: asymmetrical gene flow from source sites to the remaining sink sites. With the landscape genetic analyses, we found different results between the two molecular markers, but associations of the top environmental features (riparian, open habitat, agriculture, and human development) with dispersal estimates were shared between marker types. Despite the higher precision of SNPs, we find that microsatellites effectively uncover population processes and patterns and are superior for parentage analyses in this species with reduced genetic diversity. This study illustrates the continued applicability and relevance of microsatellites in population genetic research.     

分子标记在食（药）用真菌遗传多样性研究中的应用

食（药）用真菌在经济和生态方面都具有重要意义,其遗传多样性研究是资源可持续利用和生物保护学研究的基础,有利于食（药）用真菌种质资源的收集、保存、评价和利用,也有助于其分类学、系统学及进化等的研究。遗传多样性的研究方法很多,分子标记是目前最常用最有效的方法之一。综合分析了分子标记在食（药）用真菌遗传多样性研究中的应用,比较了各种标记的应用范围、优缺点,探讨了分子标记用于食（药）用真菌遗传多样性评价的前景及问题。     

Developing and characterising Ricinus communis SSR markers by data mining of whole-genome sequences

Ricinus communis is a versatile industrial oil crop that is cultivated worldwide. Genetic improvement and marker-assisted breeding of castor bean have been slowed owing to the lack of abundant and efficient molecular markers. As co-dominant markers, simple sequence repeats (SSRs) are useful for genetic evaluation and molecular breeding. The recently released whole-genome sequence of castor bean provides useful genomic resources for developing markers on a genome-wide scale. In the present study, the distribution and frequency of microsatellites in the castor bean genome were characterised and numerous SSR markers were developed using genomic data mining. In total, 18,647 SSR loci at a density of one SSR per 18.89 Kb in the castor bean genome sequence (representing approximately 352.27 Mb) were identified. Dinucleotide repeats were the most frequently observed microsatellites, although the AAT repeat motif was also prevalent. Using six cultivars as screening samples, 670 polymorphic SSR markers from 1,435 primer pairs (46.7 %) were developed. Trinucleotide motif loci contained a higher proportion of polymorphisms (48.5 %) than dinucleotide motif loci (39.2 %). The polymorphism level in the SSR loci was positively correlated with the increasing number of repeat units in the microsatellites. The phylogenetic relationship among 32 varieties was evaluated using the developed SSR markers. Cultivars developed at the same institute clustered together, suggesting that these cultivars have a narrow genetic background. The large number of SSR markers developed in this study will be useful for genetic mapping and for breeding improved castor-oil plants. These markers will also facilitate genetic and genomic studies of Euphorbiaceae.