利用非损伤性方法评估神农架保护区川金丝猴种群遗传多样性

湖北神农架国家级自然保护区是中国川金丝猴(Rhinopithecus roxellana)的重要分布区之一,为了更好地了解神农架川金丝猴种群遗传结构,并制定有效的保护对策,采集了该保护区2个川金丝猴种群126份样品,其中分布在大龙潭的人工补食种群粪便样品60份,分布在千家坪的一个小种群粪便样品63份、肌肉样品3份。通过应用线粒体DNA(mtDNA)引物和筛选出的9对近缘微卫星位点成功地进行了川金丝猴种群的遗传多样性和遗传结构分析,同时使用Y染色体相关标记方法进行性别鉴定。结果显示:在24份川金丝猴mtDNA D-loop区401bp序列中,共检测出27个变异位点,定义了20个单倍型,单倍型多样性(h)为0.9820,核苷酸多样性(π)为0.0129;其中有9对微卫星位点能够在117份粪便样品DNA中稳定扩增,2对位点可能偏离Hardy-Weinberg平衡,平均有效等位基因数(Ne)为3.85,遗传杂合度(Ho)为0.7450;多态信息含量(PIC)为0.5950。使用Y染色体标记方法,在58个特有的基因型中检测到18个雄性和40个雌性川金丝猴。微卫星标记和mtDNA D-loop区基因序列均表明神农架川金丝猴存在较丰富的遗传多样性,同时2个取样点川金丝猴种群间出现了明显的遗传分化。     

基于线粒体控制区的滇金丝猴群体遗传学研究

滇金丝猴（Rhinopithecus bieti）是我国著名的濒危保护动物。迄今为止,关于滇金丝猴并基于DNA序列的的群体遗传学研究还没有报道。 本文测定了来自于云南省维西县滇金丝猴群体样本的线粒体控制区全序列以及部分个体的细胞色素b全序列。在排除了核线粒体假基因存在的可能性之后,滇金丝猴维西群体内部被确认存在着两个序列分歧较大的分枝。 即使如此,如果考虑到群体结构和迁移的影响,维西群体的遗传多样性水平可能并不高。

     

尾斑瘰螈种群的D-loop区遗传多样性分析

以线粒体DNA D-loop序列为分子标记,研究了采自雷公山和武陵山的尾斑瘰螈(Paramesotriton caudopunclatus)5个种群的遗传多样性.获得42个个体mtDNA D-loop区序列,长度为690 bp,其中有30个变异位点,由此定义了13个单倍型.5个种群中未出现共享单倍型的现象.尾斑瘰螈种群...     

川金丝猴mtDNA D-loop序列遗传多态性分析

采用非损伤性DNA分析技术,分析了甘肃白水江保护区、陕西长青保护区、湖北神农架保护区3个川金丝猴(Rhinopithecus roxellana)种群中的20份粪便样品和2份肌肉样品,成功扩增了mtDNA D-loop区部分片段。经过GenBank数据库的BLAST比对,确定了22份样品均来自川金丝猴,经过Clustal W和DNASP软件分析,在22份川金丝猴mtDNA D-loop区393bp中,共检测出54个多态性位点,分为17个单倍型,单倍型多态性(h)为0.965,核苷酸多态性(π)为3.10%。3个种群之间的遗传距离为0.003～0.098,核苷酸差异为0.08%～2.80%,表明所得到的川金丝猴样品中存在着较丰富的遗传多态性,种群间存在一定的遗传差异。     

普氏野马线粒体DNA D-loop区序列多态性研究

目的:了解中国新疆吉木萨尔野马繁殖中心的普氏野马(Equus przewalskii)遗传多样性及其遗传背景.方法:采用PCR产物直接测序法,对15匹普氏野马线粒体DNA D-loop高变区进行测序分析.结果:测定15个个体的线粒体DNA D-loop高变区15464～15866片段序列402bp.检测到12种单倍型,包括37个多态位点,占全部序列的9.2%,其中转换位点24个、颠换位点20个、转换位点和颠换并存位点8个、缺失位点3个.A%+T%含量(56.1%)高于G%+C%含量(43.9%),平均A含量为28.4%,T含量为27.7%,C含量为29%,G含为14.9%.单倍型间平均遗传距离为0.030,单倍型多态性(h)为1±0.00116,核苷酸多态性(π)为2.90%.15匹普氏野马线粒体DNA D-loop高变区之间平均核苷酸变异率为2.48%.结论:研究表明我国新疆吉木萨尔野马繁殖中心的普氏野马线粒体DNA D-loop区序列存在丰富的多态性.     

西藏小型猪线粒体D-loop区及微卫星多态性的遗传学分析

目的通过分析西藏小型猪线粒体控制区(D-loop区)及微卫星位点的遗传多态性,检测西藏小型猪的遗传背景,从而为其作为实验动物提供分子生物学方面的可靠依据。方法利用特异性引物对西藏小型猪的线粒体D-loop区及10个具有多态性的微卫星位点进行扩增,割胶纯化并对线粒体D-loop区进行测序,另外采用聚丙烯酰胺凝胶电泳的方法分离微卫星位点的等位基因。结果西藏小型猪线粒体D-loop区全序列没有多态性,微卫星位点则具有高度的遗传多态性和杂合度,分别为0.584和0.573。结论西藏小型猪线粒体基因组无多态性,证明其在母系进化和遗传上与其他猪种较为一致,本实验所用的西藏小型猪生长于一个封闭的环境,导致其微卫星位点遗传多态性的中低度水平。     

滇金丝猴的随机扩增多态DNA与遗传多样性分析

对6只笼养滇金丝猴(Rhinopithecus bieti)进行了随机扩增多态DNA(RAPD)及遗传多样性分析.用45个10bp随机短引物对每只滇金丝猴的基因组DNA进行了扩增,平均每个个体观察到的RAPD标记约为130个左右,单个引物获得的标记在1～7个之间.80%的RAPD标记表现为无多态的单型性.个体间的遗传距离为0.052,表明笼养滇金丝猴群体的遗传多样性很低.此研究结果与在蛋白多态研究中得到的一致.贫乏的遗传多样性一方面使目前处于濒危境地的滇金丝猴生存情况更加危险,同时其本身也可能是造成目前滇金丝猴濒危的原因之一.另外,通过成对的遗传距离分析,构建了这一群滇金丝猴的谱系关系图,提出了让遗传距离较远的个体间进行交配的笼养繁育计划.     

太湖新银鱼线粒体D-loop和Cytb片段序列结构与进化速率比较

共获得49个太湖新银鱼(Neosalanx taihuensis)个体的线粒体细胞色素b(Cyt b)全序列和控制区(D-loop)部分序列。所测线粒体D-loop部分序列长度变化范围为648～680bp,识别到位于前端的一个串联重复序列、一个终止相关序列(ETAS),3个中央保守区保守序列(CSB-F、CSB-E、CSB-D)及一个保守序列区保守序列(CSB-1),结构与其他鱼类的研究结果类似。太湖新银鱼线粒体Cyt b和D-loop片段的相对进化速率的比较研究结果表明,太湖新银鱼D-loop总的序列多态性位点的比例为0.83%,低于线粒体Cyt b部分总的序列多态性位点的比例(1.31%)。假设太湖新银鱼Cyt b基因平均进化速率相对值为1,贝叶斯(Bayes)MCMC模拟给出Cyt b基因的相对速率区间估计为1.000±0.131,而D-loop基因的相对速率为0.859±0.261,表明太湖新银鱼D-loop基因的进化速率低于Cyt b基因,同时,后验概率分布的变异方差也比较大。说明Cyt b基因比D-loop基因具有相对较高的进化速率,也相对更接近分子钟假设。因此,可以认为Cyt b基因比D-loop基因更适于太湖新银鱼种内及近缘种间相关分子生态及系统地理格局的研究。     

中国柽柳沙鼠线粒体DNA 的地理变异及其亚种分化

柽柳沙鼠广泛分布于中亚荒漠地区,在我国分布于蒙新干旱区西部。本研究采用线粒体Cyt b 基因和D-loop控制区两个片段共1 569 bp作为分子标记,对我国蒙新区西部45 个柽柳沙鼠的核苷酸多样性、单倍型多样性及系统发生进行分析,并探讨其亚种分化。45 个柽柳沙鼠线粒体DNA 共定义33 个单倍型,包含142 个核苷酸变异位点(占全序列的9.05% ),其中单态位点34 个,简约信息位点108 个,未发现碱基插入或缺失的现象。基于单倍型的系统发生树和网络关系图显示,柽柳沙鼠的谱系分为两大支:伊犁盆地的种群聚为独立的一支,准噶尔盆地和额济纳地区的种群聚为一支,两大支的分歧时间为0.24 Ma年前,大约在庐山冰期。通过Beast 模拟,柽柳沙鼠在近15 000年有一次快速的种群衰退,表明柽柳沙鼠种群受到了末次盛冰期的影响。基于Cyt b 基和D-loop 序列的证据,我们认为分布于新疆伊犁盆地的柽柳沙鼠为哈萨克亚种(M. t. jaxartensis),分布于我国新疆准噶尔盆地以及甘肃、内蒙地区的为敦煌亚种(M. t. satchouensis)。     

贵州东北部黑叶猴种群mtDNA D-loop序列多态性

贵州东北部作为黑叶猴在中国的主要分布区之一,黑叶猴的数量在近30年急剧下降,栖息地破碎化严重,保护形势不容乐观。深入了解黑叶猴在贵州东北部地区地理种群的分子变异及遗传水平现状,可以为黑叶猴保护提供重要的依据。本文以黑叶猴的粪便、毛发为实验材料,利用线粒体DNA分子标记,对采自贵州东北部地区黑叶猴野生种群79个粪便样品和黔灵公园笼养种群22个粪便样品、5份毛发样品的线粒体控制区(mt DNA D-loop)的部分序列进行测定。贵州东北部黑叶猴样品共获得88条395 bp的序列,共有30个多态位点,其碱基突变形式为转换和颠换,无插入和缺失,共6个单倍型。构建的系统发育树表明,贵州黑叶猴是一个独立的单元群,研究结果有助于了解贵州东北部地区野生黑叶猴的遗传多样性,分析其种群适应能力与进化潜力,为提出科学合理的保护管理对策提供参考依据。     

Development of high‐density SNP genotyping arrays for white spruce (Picea glauca) and transferability to subtropical and nordic congeners

High‐density SNP genotyping arrays can be designed for any species given sufficient sequence information of high quality. Two high‐density SNP arrays relying on the Infinium iSelect technology (Illumina) were designed for use in the conifer white spruce (Picea glauca). One array contained 7338 segregating SNPs representative of 2814 genes of various molecular functional classes for main uses in genetic association and population genetics studies. The other one contained 9559 segregating SNPs representative of 9543 genes for main uses in population genetics, linkage mapping of the genome and genomic prediction. The SNPs assayed were discovered from various sources of gene resequencing data. SNPs predicted from high‐quality sequences derived from genomic DNA reached a genotyping success rate of 64.7%. Nonsingleton in silico SNPs (i.e. a sequence polymorphism present in at least two reads) predicted from expressed sequenced tags obtained with the Roche 454 technology and Illumina GAII analyser resulted in a similar genotyping success rate of 71.6% when the deepest alignment was used and the most favourable SNP probe per gene was selected. A variable proportion of these SNPs was shared by other nordic and subtropical spruce species from North America and Europe. The number of shared SNPs was inversely proportional to phylogenetic divergence and standing genetic variation in the recipient species, but positively related to allele frequency in P. glauca natural populations. These validated SNP resources should open up new avenues for population genetics and comparative genetic mapping at a genomic scale in spruce species.     

Application of denaturing high-performance liquid chromatography for mapping of single nucleotide polymorphisms in barley (Hordeum vulgare L.).

Recent advances in DNA sequence analysis and the establishment of high-throughput assays have provided the framework for large-scale discovery and analysis of DNA sequence variation. In this context, single nucleotide polymorphisms (SNPs) are of particular interest. To initiate a systematic approach to develop an SNP map of barley (Hordeum vulgare L.), we have employed denaturing high-performance liquid chromatography (DHPLC) to analyse segregating SNP patterns in a doubled-haploid (DH) mapping population. To this end, SNPs between the parental genotypes were identified using a direct sequencing approach. Once a SNP was established between the parents, the optimal melting temperature of the PCR fragment containing the SNP was predicted for its analysis by DHPLC. Following the detection of the optimal temperature, the DH lines were analysed for the presence of either of the alleles. To test the utility of the analysis, data from previously mapped RFLP markers from which these SNPs were derived were compared. Results from these experiments indicate that DHPLC can be efficiently employed in analysing SNPs on a high-throughput scale.     

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.     

Population structure of chum salmon and selection on the markers collected for stock identification

Genetic stock identification (GSI) is a major management tool of Pacific salmon (Oncorhynchus Spp.) that has provided rich genetic baseline data of allozymes, microsatellites, and single‐nucleotide polymorphisms (SNPs) across the Pacific Rim. Here, we analyzed published data sets for adult chum salmon (Oncorhynchus keta), namely 10 microsatellites, 53 SNPs, and a mitochondrial DNA locus (mtDNA3, control region, and NADH‐3 combined) in samples from 495 locations in the same distribution range (n = 61,813). TreeMix analysis of the microsatellite loci identified the greatest convergence toward Japanese/Korean populations and suggested two admixture events from Japan/Korea to Russia and the Alaskan Peninsula. The SNPs had been purposively collected from rapidly evolving genes to increase the power of GSI. The largest expected heterozygosity was observed in Japanese/Korean populations for microsatellites, whereas it was largest in Western Alaskan populations for SNPs, reflecting the SNP discovery process. A regression of SNP population structures on those of microsatellites indicated the selection of the SNP loci according to deviations from the predicted structures. Specifically, we matched the sampling locations of the SNPs with those of the microsatellites and performed regression analyses of SNP allele frequencies on a 2‐dimensional scaling (MDS) of matched locations obtained from microsatellite pairwise F _ST values. The MDS first axis indicated a latitudinal cline in American and Russian populations, whereas the second axis showed differentiation of Japanese/Korean populations. The top five outlier SNPs included mtDNA3, U502241 (unknown), GnRH373, ras1362, and TCP178, which were identified by principal component analysis. We summarized the functions of 53 nuclear genes surrounding SNPs and the mtDNA3 locus by referring to a gene database system and propose how they may influence the fitness of chum salmon.     

Analysis of single nucleotide polymorphisms in three chromosomes of European sea bass Dicentrarchus labrax

Single nucleotide polymorphisms (SNPs) are believed to contain relevant information and have been therefore extensively used as genetic markers in population and conservation genetics, and molecular ecology studies. This study reports on the identification of potential SNPs in a diploid European sea bass Dicentrarchus labrax genome by using reference sequences from three assembled chromosomes and mapping all WGS datasets onto them (3× Sanger, 3× 454 and 20× SOLEXA). A total of 20,779 SNPs were identified over the 1469 gene loci and intergenic space analysed. Within chromosomes the occurrence of SNPs was the lowest in exons and higher in introns and intergenic regions, which may be explained by the fact, that coding regions are under strong selective pressure to maintain their biological function. The ratio of nonsynonymous to synonymous mutations was smaller than one for all the chromosomes, suggesting that most of deleterious nonsynonymous mutations were eliminated by negative selection. SNPs were not uniformly distributed over the chromosomes. Two chromosomes exhibited large regions with extremely low SNP density, which might represent homozygous regions in the diploid genome. The results of this study show how SNP detection can take profit from sequencing a single diploid individual, but also uncover the limits of such an approach. SNPs that have been identified will support marker development for genetic linkage mapping, population genetics and aquaculture related questions in general.     

A pipeline for high throughput detection and mapping of SNPs from EST databases

Single nucleotide polymorphisms (SNPs) represent the most abundant type of genetic variation that can be used as molecular markers. The SNPs that are hidden in sequence databases can be unlocked using bioinformatic tools. For efficient application of these SNPs, the sequence set should be error-free as much as possible, targeting single loci and suitable for the SNP scoring platform of choice. We have developed a pipeline to effectively mine SNPs from public EST databases with or without quality information using QualitySNP software, select reliable SNP and prepare the loci for analysis on the Illumina GoldenGate genotyping platform. The applicability of the pipeline was demonstrated using publicly available potato EST data, genotyping individuals from two diploid mapping populations and subsequently mapping the SNP markers (putative genes) in both populations. Over 7000 reliable SNPs were identified that met the criteria for genotyping on the GoldenGate platform. Of the 384 SNPs on the SNP array approximately 12% dropped out. For the two potato mapping populations 165 and 185 SNPs segregating SNP loci could be mapped on the respective genetic maps, illustrating the effectiveness of our pipeline for SNP selection and validation.     

Mining for single nucleotide polymorphisms and insertions/deletions in maize expressed sequence tag data

We have developed a computer based method to identify candidate single nucleotide polymorphisms (SNPs) and small insertions/deletions from expressed sequence tag data. Using a redundancy-based approach, valid SNPs are distinguished from erroneous sequence by their representation multiple times in an alignment of sequence reads. A second measure of validity was also calculated based on the cosegregation of the SNP pattern between multiple SNP loci in an alignment. The utility of this method was demonstrated by applying it to 102,551 maize (Zea mays) expressed sequence tag sequences. A total of 14,832 candidate polymorphisms were identified with an SNP redundancy score of two or greater. Segregation of these SNPs with haplotype indicates that candidate SNPs with high redundancy and cosegregation confidence scores are likely to represent true SNPs. This was confirmed by validation of 264 candidate SNPs from 27 loci, with a range of redundancy and cosegregation scores, in four inbred maize lines. The SNP transition/transversion ratio and insertion/deletion size frequencies correspond to those observed by direct sequencing methods of SNP discovery and suggest that the majority of predicted SNPs and insertion/deletions identified using this approach represent true genetic variation in maize.     

Developing genomic resources for the common bottlenose dolphin (Tursiops truncatus): isolation and characterization of 153 single nucleotide polymorphisms and 53 genotyping assays

Although single nucleotide polymorphisms (SNPs) are commonly used in human genetics, they have only recently been incorporated into genetic studies of non‐model organisms, including cetaceans. SNPs have several advantages over other molecular markers for studies of population genetics: they are quicker and more straightforward to score, cross‐laboratory comparisons of data are less complicated, and they can be used successfully with low‐quality DNA. We screened portions of the genome of one of the most abundant cetaceans in U.S. waters, the common bottlenose dolphin (Tursiops truncatus), and identified 153 SNPs resulting in an overall average of one SNP every 463 base pairs. Custom TaqMan^® Assays were designed for 53 of these SNPs, and their performance was tested by genotyping a set of bottlenose dolphin samples, including some with low‐quality DNA. We found that in 19% of the loci examined, the minor allele frequency (MAF) estimated during initial SNP ascertainment using a DNA pool of 10 individuals differed significantly from the final MAF after genotyping over 100 individuals, suggesting caution when making inferences about MAF values based on small data sets. For two assays, we also characterized the basis for unusual clustering patterns to determine whether their data could still be utilized for further genetic studies. Overall results support the use of these SNPs for accurate analysis of both poor and good‐quality DNA. We report the first SNP markers and genotyping assays for use in population and conservation genetic studies of bottlenose dolphins.     

SNP Discovery Using Next Generation Transcriptomic Sequencing in Atlantic Herring (Clupea harengus)

The introduction of Next Generation Sequencing (NGS) has revolutionised population genetics, providing studies of non-model species with unprecedented genomic coverage, allowing evolutionary biologists to address questions previously far beyond the reach of available resources. Furthermore, the simple mutation model of Single Nucleotide Polymorphisms (SNPs) permits cost-effective high-throughput genotyping in thousands of individuals simultaneously. Genomic resources are scarce for the Atlantic herring (Clupea harengus), a small pelagic species that sustains high revenue fisheries. This paper details the development of 578 SNPs using a combined NGS and high-throughput genotyping approach. Eight individuals covering the species distribution in the eastern Atlantic were bar-coded and multiplexed into a single cDNA library and sequenced using the 454 GS FLX platform. SNP discovery was performed by de novo sequence clustering and contig assembly, followed by the mapping of reads against consensus contig sequences. Selection of candidate SNPs for genotyping was conducted using an in silico approach. SNP validation and genotyping were performed simultaneously using an Illumina 1,536 GoldenGate assay. Although the conversion rate of candidate SNPs in the genotyping assay cannot be predicted in advance, this approach has the potential to maximise cost and time efficiencies by avoiding expensive and time-consuming laboratory stages of SNP validation. Additionally, the in silico approach leads to lower ascertainment bias in the resulting SNP panel as marker selection is based only on the ability to design primers and the predicted presence of intron-exon boundaries. Consequently SNPs with a wider spectrum of minor allele frequencies (MAFs) will be genotyped in the final panel. The genomic resources presented here represent a valuable multi-purpose resource for developing informative marker panels for population discrimination, microarray development and for population genomic studies in the wild.     

The design and application of a 50 K SNP chip for a threatened Aotearoa New Zealand passerine,the hihi

Next-generation sequencing has transformed the fields of ecological and evolutionary genetics by allowing for cost-effective identification of genome-wide variation. Single nucleotide polymorphism (SNP) arrays, or “SNP chips”, enable very large numbers of individuals to be consistently genotyped at a selected set of these identified markers, and also offer the advantage of being able to analyse samples of variable DNA quality. We used reduced representation restriction-aided digest sequencing (RAD-seq) of 31 birds of the threatened hihi (Notiomystis cincta; stitchbird) and low-coverage whole genome sequencing (WGS) of 10 of these birds to develop an Affymetrix 50 K SNP chip. We overcame the limitations of having no hihi reference genome and a low quantity of sequence data by separate and pooled de novo assembly of each of the 10 WGS birds. Reads from all individuals were mapped back to these de novo assemblies to identify SNPs. A subset of RAD-seq and WGS SNPs were selected for inclusion on the chip, prioritising SNPs with the highest quality scores whose flanking sequence uniquely aligned to the zebra finch (Taeniopygia guttata) genome. Of the 58,466 SNPs manufactured on the chip, 72% passed filtering metrics and were polymorphic. By genotyping 1,536 hihi on the array, we found that SNPs detected in multiple assemblies were more likely to successfully genotype, representing a cost-effective approach to identify SNPs for genotyping. Here, we demonstrate the utility of the SNP chip by describing the high rates of linkage disequilibrium in the hihi genome, reflecting the history of population bottlenecks in the species.