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.     

分子标记在猕猴遗传多样性研究中的应用

分子标记目前已成为研究遗传多样性的主要工具,为此,简要综述了几种常用的分子标记(RFLPs、RAPD、mtDNA、微卫星DNA、SNPs)的检测方法及其在猕猴种群遗传多样性研究中的应用,为国内猕猴遗传多样性的研究提供参考。     

几种基于PCR的分子标记在甘薯遗传多样性研究中的应用

遗传多样性是甘薯品种遗传改良的基础。由于分子标记具有数量极大、不受环境及基因表达与否的限制、多为共显性、不影响生物性状表现等优点,现已在甘薯遗传多样性研究中得到广泛应用。本文比较了RAPD、AFLP、SSR、ISSR和SRAP等几种基于PCR的分子标记方法,分别从遗传差异和亲缘聚类分析两方面,对它们在甘薯遗传多样性研究中的应用进行了综述。对比分析表明ISSR是一种共显性、成本较低、重复性好、多态性较高且非常有发展前途的分子标记,并已经被广泛应用到甘薯遗传多样性、物种亲缘关系、系统分类和辅助育种研究中。     

Empirical comparison of Simple Sequence Repeats and single nucleotide polymorphisms in assessment of maize diversity and relatedness

While Simple Sequence Repeats (SSRs) are extremely useful genetic markers, recent advances in technology have produced a shift toward use of single nucleotide polymorphisms (SNPs). The different mutational properties of these two classes of markers result in differences in heterozygosities and allele frequencies that may have implications for their use in assessing relatedness and evaluation of genetic diversity. We compared analyses based on 89 SSRs (primarily dinucleotide repeats) to analyses based on 847 SNPs in individuals from the same 259 inbred maize lines, which had been chosen to represent the diversity available among current and historic lines used in breeding. The SSRs performed better at clustering germplasm into populations than did a set of 847 SNPs or 554 SNP haplotypes, and SSRs provided more resolution in measuring genetic distance based on allele-sharing. Except for closely related pairs of individuals, measures of distance based on SSRs were only weakly correlated with measures of distance based on SNPs. Our results suggest that 1) large numbers of SNP loci will be required to replace highly polymorphic SSRs in studies of diversity and relatedness and 2) relatedness among highly-diverged maize lines is difficult to measure accurately regardless of the marker system.     

Analysis of microsatellite loci in tree of heaven (<Emphasis Type="Italic">Ailanthus altissima</Emphasis> (Mill.) Swingle) using SSR-GBS

Microsatellite markers are still the marker of choice for many research questions in the field of forest genetics. However, the number of available markers is often low for species that have not been studied intensively like the tree of heaven (Ailanthus altissima). During the last decade, next-generation sequencing (NGS) has offered advanced techniques for efficiently identifying microsatellite markers and accurately genotyping samples. Here, we identify new microsatellite markers for the tree of heaven by applying an NGS-based method using the Illumina MiSeq platform. NGS technology was proved to be an effective method for fast and cost-efficient identification of microsatellite markers by implementing a genotyping-by-sequencing approach based on Illumina amplicon sequencing (SSR-GBS). We screened three populations from Eastern Austria for genetic variation at 19 newly identified microsatellite loci. We tested two different genotyping approaches: (1) considering only allele lengths (forming a so-called “allele length dataset”), (2) taking also single nucleotide polymorphisms (SNPs) within the amplified fragments into account (forming a so-called “SNP dataset”). The results revealed higher values for all genetic diversity parameters, as well as a better resolution of genetic assignment, when the latter approach was followed. Thus, by taking advantage of sequence information which is provided by SSR-GBS, one may achieve considerable gains in performance using the same marker set. The developed markers provide a cost-efficient tool for genotyping populations of tree of heaven and the approach presented here promises to be of high value for medium throughput genotyping applications in non-model forest tree species. We will use this method to widen the perspectives for further population genetic investigations of the tree of heaven.     

分子标记及其在核桃遗传多样性研究中的应用

核桃是我国重要的坚果和木本油料树种之一,具有重要的学术研究和经济价值。现代分子标记技术的迅速发展为核桃的种质鉴定、遗传育种、遗传多样性分析、亲缘鉴定等提供了崭新途径。本文主要介绍RFLP、RAPD、AFLP及SSR等几种分子标记技术的主要原理、特点以及在核桃遗传多样性方面的研究进展,分析了分子标记在核桃遗传多样性研究中的主要问题,并对其发展提出了展望。     

RAD标记测序及其在分子育种中的应用

基于限制位点相关的DNA（restriction site associated DNA, RAD）标记的测序方法是一种新型的测序技术.其优点是不仅节省传统测序的试验成本,而且能快速准确的定位出数以千计的基因标记,从而更加适合分子辅助育种的应用.该方法可应用于寻找DNA多态性,鉴别SNP,构建未知基因组序列生物的遗传图谱,定位目的性状基因等.本文主要综述了RAD标记和RAD测序的研究进展及其在分子育种中的应用.     

Use of sequence data from rainbow trout and Atlantic salmon for SNP detection in Pacific salmon

Single nucleotide polymorphisms (SNPs) are a class of genetic markers that are well suited to a broad range of research and management applications. Although advances in genotyping chemistries and analysis methods continue to increase the potential advantages of using SNPs to address molecular ecological questions, the scarcity of available DNA sequence data for most species has limited marker development. As the number and diversity of species being targeted for large-scale sequencing has increased, so has the potential for using sequence from sister taxa for marker development in species of interest. We evaluated the use of Oncorhynchus mykiss and Salmo salar sequence data to identify SNPs in three other species (Oncorhynchus tshawytscha, Oncorhynchus nerka and Oncorhynchus keta). Primers designed based on O. mykiss and S. salar alignments were more successful than primers designed based on Oncorhynchus-only alignments for sequencing target species, presumably due to the much larger number of potential targets available from the former alignments and possibly greater sequence conservation in those targets. In sequencing approximately 89 kb we observed a frequency of 4.30 x 10(-3) SNPs per base pair. Approximately half (53/101) of the subsequently designed validation assays resulted in high-throughput SNP genotyping markers. We speculate that this relatively low conversion rate may reflect the duplicated nature of the salmon genome. Our results suggest that a large number of SNPs could be developed for Pacific salmon using sequence data from other species. While the costs of DNA sequencing are still significant, these must be compared to the costs of using other marker classes for a given application.     

Application of SNPs for population genetics of nonmodel organisms: new opportunities and challenges

Recent improvements in the speed, cost and accuracy of next generation sequencing are revolutionizing the discovery of single nucleotide polymorphisms (SNPs). SNPs are increasingly being used as an addition to the molecular ecology toolkit in nonmodel organisms, but their efficient use remains challenging. Here, we discuss common issues when employing SNP markers, including the high numbers of markers typically employed, the effects of ascertainment bias and the inclusion of nonneutral loci in a marker panel. We provide a critique of considerations specifically associated with the application and population genetic analysis of SNPs in nonmodel taxa, focusing specifically on some of the most commonly applied methods.     

分子遗传标记技术及其在昆虫科学中的应用

分子遗传标记是随着聚合酶链式反应 (PCR)和Southern杂交等分子生物学技术的飞速发展而出现的遗传学标记技术 ,它突破了以往形态标记 ,细胞学标记和同工酶标记等表达型标记的局限性 ,在揭示物种的遗传变异性研究中发挥着独特的优势。分子遗传标记目前已出现了几十种 ,可依其涉及的位点和反映的多态性的基础分为多位点分子标记和单位点分子标记 ,多位点分子标记反映核苷酸序列的多态性 ,单位点分子标记反映基因座上等位基因的多态性。本文对一些常用的分子标记技术的特点和它们在昆虫系统进化、昆虫分类、昆虫生态、生物防治和特定基因标记等研究中的应用作了介绍。     

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。     

Too much of a good thing? Finding the most informative genetic data set to answer conservation questions

Molecular markers are a useful tool allowing conservation and population managers to shed light on genetic processes affecting threatened populations. However, as technological advancements in molecular techniques continue to evolve, conservationists are frequently faced with new genetic markers, each with nuanced variation in their characteristics as well as advantages and disadvantages for informing various questions. We used a well‐studied population of Tasmanian devils (Sarcophilus harrisii) from Maria Island, Tasmania, to illustrate the issues associated with combining multiple genetic data sets and to help answer a question posed by many population managers: which data set will provide the most precise and accurate estimates of the population processes we are trying to measure? We analysed individual heterozygosity (as internal relatedness, IR) of 96 individuals, calculated using four genetic marker types (putatively neutral microsatellites, major histocompatibility complex‐linked microsatellites, reduced representation sequencing, and candidate region resequencing). We found no correlation in IR values across marker types, suggesting that various genetic markers reflect different aspects of genomic diversity. In addition, some marker types were more informative than others for conservation decision‐making. Reduced representation sequencing provided the highest precision (lowest error) for estimating population‐level genetic diversity, and most closely reflected genome‐wide heterozygosity both theoretically and empirically. Within the conservation context, our results highlight important considerations when choosing a molecular technique for wildlife genetics.     

分子标记及其在海洋动物遗传研究中的应用

分子遗传标记在农业动植物育种和生产上得到了广泛的应用,且取得了可喜的成果,但在水生生物上的应用还处于初始阶段。本文简要介绍了限制性片段长度多态性（RFLP）、随机扩增多态性DNA（RAPD）、扩增片段长度多态性（AFLP）、小卫星DNA和微卫星DNA（或称简单序列重复,SSR）等分子标记的概念、基本原理及其特点,重点介绍了第三代分子标记单核苷酸多态性（SNP）技术。综述了这些分子标记在海洋动物遗传结构分析、亲缘关系鉴定、遗传图谱的构建和标记辅助育种等方面的应用。     

SNP Discovery with EST and NextGen Sequencing in Switchgrass (Panicum virgatum L.)

Although yield trials for switchgrass (Panicum virgatum L.), a potentially high value biofuel feedstock crop, are currently underway throughout North America, the genetic tools for crop improvement in this species are still in the early stages of development. Identification of high-density molecular markers, such as single nucleotide polymorphisms (SNPs), that are amenable to high-throughput genotyping approaches, is the first step in a quantitative genetics study of this model biofuel crop species. We generated and sequenced expressed sequence tag (EST) libraries from thirteen diverse switchgrass cultivars representing both upland and lowland ecotypes, as well as tetraploid and octoploid genomes. We followed this with reduced genomic library preparation and massively parallel sequencing of the same samples using the Illumina Genome Analyzer technology platform. EST libraries were used to generate unigene clusters and establish a gene-space reference sequence, thus providing a framework for assembly of the short sequence reads. SNPs were identified utilizing these scaffolds. We used a custom software program for alignment and SNP detection and identified over 149,000 SNPs across the 13 short-read sequencing libraries (SRSLs). Approximately 25,000 additional SNPs were identified from the entire EST collection available for the species. This sequencing effort generated data that are suitable for marker development and for estimation of population genetic parameters, such as nucleotide diversity and linkage disequilibrium. Based on these data, we assessed the feasibility of genome wide association mapping and genomic selection applications in switchgrass. Overall, the SNP markers discovered in this study will help facilitate quantitative genetics experiments and greatly enhance breeding efforts that target improvement of key biofuel traits and development of new switchgrass cultivars.     

The future of parentage analysis: From microsatellites to SNPs and beyond

Parentage analysis is a cornerstone of molecular ecology that has delivered fundamental insights into behaviour, ecology and evolution. Microsatellite markers have long been the king of parentage, their hypervariable nature conferring sufficient power to correctly assign offspring to parents. However, microsatellite markers have seen a sharp decline in use with the rise of next‐generation sequencing technologies, especially in the study of population genetics and local adaptation. The time is ripe to review the current state of parentage analysis and see how it stands to be affected by the emergence of next‐generation sequencing approaches. We find that single nucleotide polymorphisms (SNPs), the typical next‐generation sequencing marker, remain underutilized in parentage analysis but are gaining momentum, with 58 SNP‐based parentage analyses published thus far. Many of these papers, particularly the earlier ones, compare the power of SNPs and microsatellites in a parentage context. In virtually every case, SNPs are at least as powerful as microsatellite markers. As few as 100–500 SNPs are sufficient to resolve parentage completely in most situations. We also provide an overview of the analytical programs that are commonly used and compatible with SNP data. As the next‐generation parentage enterprise grows, a reliance on likelihood and Bayesian approaches, as opposed to strict exclusion, will become increasingly important. We discuss some of the caveats surrounding the use of next‐generation sequencing data for parentage analysis and conclude that the future is bright for this important realm of molecular ecology.     

Functional markers in wheat: technical and economic aspects

Speed and cost–effective techniques for evaluation of plant materials to provide information before entering the next cycle of selection are critical for success in plant breeding. Whether or not a ‘new’ technique realizes its potential depends on technical and economic considerations. Biotechnology-based research tools such as doubled haploid technology and molecular markers have already demonstrated their value for application in plant breeding. In the area of genomics, implementation of functional markers (FMs) is currently of particular interest. The pipeline from plant materials to FM data points for any application includes maceration of plant material, DNA isolation and sample preparation. For each step of this pipeline, a number of techniques are available, and no single method is ideally suited for all applications. The challenge is to meet the needs of many different scenarios which are present in a modern breeding programme such as the use of (1) few markers for genotyping hundreds of samples (e.g., marker assisted backcrossing (MAB)), (2) few markers in thousands of samples (e.g., screening for GMO), (3) hundreds to thousands of markers for hundreds to thousands of samples (e.g., genetic characterization of breeding materials (fingerprinting)). This paper compares different techniques for each of the steps from plant material to FM data point, with the main emphasis on SNP detection platforms, assuming that multiple FMs will become available in the near future. We focus on technical and economic aspects and discuss which techniques are most suitable for each of the scenarios using wheat as a model.     

Comparing RADseq and microsatellites for estimating genetic diversity and relatedness — Implications for brown trout conservation

The conservation and management of endangered species requires information on their genetic diversity, relatedness and population structure. The main genetic markers applied for these questions are microsatellites and single nucleotide polymorphisms (SNPs), the latter of which remain the more resource demanding approach in most cases. Here, we compare the performance of two approaches, SNPs obtained by restriction‐site‐associated DNA sequencing (RADseq) and 16 DNA microsatellite loci, for estimating genetic diversity, relatedness and genetic differentiation of three, small, geographically close wild brown trout (Salmo trutta) populations and a regionally used hatchery strain. The genetic differentiation, quantified as F_ST, was similar when measured using 16 microsatellites and 4,876 SNPs. Based on both marker types, each brown trout population represented a distinct gene pool with a low level of interbreeding. Analysis of SNPs identified half‐ and full‐siblings with a higher probability than the analysis based on microsatellites, and SNPs outperformed microsatellites in estimating individual‐level multilocus heterozygosity. Overall, the results indicated that moderately polymorphic microsatellites and SNPs from RADseq agreed on estimates of population genetic structure in moderately diverged, small populations, but RADseq outperformed microsatellites for applications that required individual‐level genotype information, such as quantifying relatedness and individual‐level heterozygosity. The results can be applied to other small populations with low or moderate levels of genetic diversity.     

From microsatellites to single nucleotide polymorphisms for the genetic monitoring of a critically endangered sturgeon

The use of genetic information is crucial in conservation programs for the establishment of breeding plans and for the evaluation of restocking success. Short tandem repeats (STRs) have been the most widely used molecular markers in such programs, but next‐generation sequencing approaches have prompted the transition to genome‐wide markers such as single nucleotide polymorphisms (SNPs). Until now, most sturgeon species have been monitored using STRs. The low diversity found in the critically endangered European sturgeon (Acipenser sturio), however, makes its future genetic monitoring challenging, and the current resolution needs to be increased. Here, we describe the discovery of a highly informative set of 79 SNPs using double‐digest restriction‐associated DNA (ddRAD) sequencing and its validation by genotyping using the MassARRAY system. Comparing with STRs, the SNP panel proved to be highly efficient and reproducible, allowing for more accurate parentage and kinship assignments' on 192 juveniles of known pedigree and 40 wild‐born adults. We explore the effectiveness of both markers to estimated relatedness and inbreeding, using simulated and empirical datasets. Interestingly, we found significant correlations between STRs and SNPs at individual heterozygosity and inbreeding that give support to a reasonable representation of whole genome diversity for both markers. These results are useful for the conservation program of A. sturio in building a comprehensive studbook, which will optimize conservation strategies. This approach also proves suitable for other case studies in which highly discriminatory genetic markers are needed to assess parentage and kinship.