Genetic diversity, population structure and genome-wide marker-trait association analysis emphasizing seed nutrients of the USDA pea (Pisum sativum L.) core collection

Genetic diversity, population structure and genome-wide marker-trait association analysis was conducted for the USDA pea (Pisum sativum L.) core collection. The core collection contained 285 accessions with diverse phenotypes and geographic origins. The 137 DNA markers included 102 polymorphic fragments amplified by 15 microsatellite primer pairs, 36 RAPD loci and one SCAR (sequence characterized amplified region) marker. The 49 phenotypic traits fall into the categories of seed macro- and micro-nutrients, disease resistance, agronomic traits and seed characteristics. Genetic diversity, population structure and marker-trait association were analyzed with the software packages PowerMarker, STUCTURE and TASSEL, respectively. A great amount of variation was revealed by the DNA markers at the molecular level. Identified were three sub-populations that constituted 56.1%, 13.0% and 30.9%, respectively, of the USDA Pisum core collection. The first sub-population is comprised of all cultivated pea varieties and landraces; the second of wild P. sativum ssp. elatius and abyssinicum and the accessions from the Asian highland (Afghanistan, India, Pakistan, China and Nepal); while the third is an admixture containing alleles from the first and second sub-populations. This structure was achieved using a stringent cutoff point of 15% admixture (q-value 85%) of the collection. Significant marker-trait associations were identified among certain markers with eight mineral nutrient concentrations in seed and other important phenotypic traits. Fifteen pairs of associations were at the significant levels of P ?? 0.01 when tested using the three statistical models. These markers will be useful in marker-assisted selection to breed pea cultivars with desirable agronomic traits and end-user qualities.     

Diversity and linkage disequilibrium analysis within a selected set of cultivated tomatoes

Within the Dutch genomics initiative the "Centre for Biosystems Genomics" (CBSG) a major research effort is directed at the identification and unraveling of processes and mechanisms affecting fruit quality in tomato. The basis of this fruit quality program was a diverse set of 94 cultivated tomato cultivars, representing a wide spectrum of phenotypes for quality related traits. This paper describes a diversity study performed on these cultivars, using information of 882 AFLP markers, of which 304 markers had a known map position. The AFLP markers were scored as much as possible in a co-dominant fashion. We investigated genome distribution and coverage for the mapped markers and conclude that it proved difficult to arrive at a dense and uniformly distributed coverage of the genome with markers. Mapped markers and unmapped markers were used to investigate population structure. A clear substructure was observed which seemed to coincide with a grouping based on fruit size. Finally, we studied amount and decay of linkage disequilibrium (LD) along the chromosomes. LD was observed over considerable (genetic) distances. We discuss the feasibility of marker-trait association studies and conclude that the amount of genetic variation in our set of cultivars is limited, but that there exists scope for association studies.     

Molecular evaluation of genetic diversity and association studies in rice (<Emphasis Type="BoldItalic">Oryza sativa</Emphasis> L.)

In the present study, we tested rice genotypes that included un(der)exploited landraces of Tamil Nadu along with indica and japonica test cultivars to ascertain their genetic diversity structure. Highly polymorphic microsatellite markers were used for generating marker segregation data. A novel measure, allele discrimination index, was used to determine subpopulation differentiation power of each marker. Phenotypic data were collected for yield and component traits. Pattern of molecular differentiation separated indica and japonica genotypes; indica genotypes had two subpopulations within. Landraces were found to have indica genome, but formed a separate subgroup with low linkage disequilibrium. The landraces further separated into distinct group in both hierarchical clustering analysis using neighbour-joining method as well as in the model based population structure analysis. Japonica and the remaining indica cultivars formed two other distinct groups. Linkage disequilibrium observed in the whole population was considerably reduced in subpopulations. Low linkage disequilibrium of landforms suggests their narrow adaptation in local geographical niche. Many population specific alleles could be identified particularly for japonica cultivars and landraces. Association analysis revealed nine marker-trait associations with three agronomic traits, of which 67% were previously reported. Although the testing landraces together with known cultivars had permitted genomewide association mapping, the experiment offers scope to study more landraces collected from the entire geographical region for drawing more reliable information.     

Exploring a Tomato Landraces Collection for Fruit-Related Traits by the Aid of a High-Throughput Genomic Platform

During its evolution and domestication Solanum lycopersicum has undergone various genetic ‘bottlenecks’ and extreme inbreeding of limited genotypes. In Europe the tomato found a secondary centre for diversification, which resulted in a wide array of fruit shape variation given rise to a range of landraces that have been cultivated for centuries. Landraces represent a reservoir of genetic diversity especially for traits such as abiotic stress resistance and high fruit quality. Information about the variation present among tomato landrace populations is still limited. A collection of 123 genotypes from different geographical areas was established with the aim of capturing a wide diversity. Eighteen morphological traits were evaluated, mainly related to the fruit. About 45% of morphological variation was attributed to fruit shape, as estimated by the principal component analysis, and the dendrogram of relatedness divided the population in subgroups mainly on the basis of fruit weight and locule number. Genotyping was carried out using the tomato array platform SolCAP able to interrogate 7,720 SNPs. In the whole collection 87.1% markers were polymorphic but they decreased to 44–54% when considering groups of genotypes with different origin. The neighbour-joining tree analysis clustered the 123 genotypes into two main branches. The STRUCTURE analysis with K = 3 also divided the population on the basis of fruit size. A genomic-wide association strategy revealed 36 novel markers associated to the variation of 15 traits. The markers were mapped on the tomato chromosomes together with 98 candidate genes for the traits analyzed. Six regions were evidenced in which candidate genes co-localized with 19 associated SNPs. In addition, 17 associated SNPs were localized in genomic regions lacking candidate genes. The identification of these markers demonstrated that novel variability was captured in our germoplasm collection. They might also provide a viable indirect selection tool in future practical breeding programs.     

Genetic analysis of maize germplasm in the Korean Genebank and association with agronomic traits and simple sequence repeat markers

We assessed genetic and phenotypic variation in 105 maize germplasm accessions from RDA-Genebank of Korea and performed association analyses for 11 agronomical traits and 100 simple sequence repeats (SSR). Genetic diversity (GD) analysis revealed a total of 1104 alleles at the 100 SSR loci. The average number of alleles per locus was 11.0. The average GD and polymorphic information content values were 0.73 and 0.70, respectively. The average major allele frequency was 0.41. Population structure analysis indicated that these maize accessions comprised two major groups and one admixed group based on a membership probability threshold of 0.80. The two major groups contained 35 and 46 maize accessions. A mixed linear model of association analysis revealed five marker-trait associations with a significance level of P?≤?0.01 involving five SSR markers. A general linear model showed 72 marker-trait associations involving 42 SSR markers. We confirmed the presence in the general linear model associations of the five significant marker-trait associations (SMTAs) identified in the mixed linear model. For these SMTAs, two loci were associated with stem diameter and one locus each was associated with ear row number, leaf width, and leaf length. These results should prove useful for breeding new inbred lines by selecting parental lines using molecular markers and will help to preserve maize genetic resources in Korea.     

Differentiation and phylogenetic relationship among different cultivars of asparagus bean (Vigna unguiculata ssp. sesquipedalis) assessed using ISSR markers

Asparagus bean, one of the three subspecies of Vigna unguiculata, has a long cultivation history in China. The genetic diversity was analyzed based on the 66 landraces and cultivars cultivated in China by using ISSR molecular markers, with which 192 amplification loci were obtained 32.3% of them being polymorphic. The genetic differentiation analysis revealed a very high genetic diversity in the Chinese landraces, which confirmed that China is the secondary origin centre of the asparagus bean. The commercial cultivars bred in China were genetically highly homogenous, suggesting that the breeding process has resulted in disappearance of some of the genetic variation. A cluster analysis at 0.17 of Nei genetic distance divided the 66 landraces and cultivars into 9 groups. Their clustering pattern basically matches the phylogeny of those cultivars, and also corresponds to their geographical origin and morphological traits.     

Genetic diversity, linkage disequilibrium, and association mapping analyses of peach (Prunus persica) landraces in China

The genetic diversity, population structure, and linkage disequilibrium (LD) of peaches are greatly important in genome-wide association mapping. In the current study, 104 peach landrace accessions from six Chinese geographical regions were evaluated for fruit and phenological period. The accessions were genotyped with 53 genome-wide simple sequence repeat (SSR) markers. All SSR markers were highly polymorphic across the accessions, and a total of 340 alleles were detected, including 59 private alleles. Of the six regions studied, the northern part of China as well as the middle and lower reaches of the Changjiang River were found to be the most highly diverse genetically. Based on population structure analysis, the peaches were divided into five groups, which well agreed with the geographical distribution. Of the SSR pairs in these accessions, 18.07% (P?<?0.05) were in LD. The mean r ² value for all intrachromosomal loci pairs was 0.0149, and LD decayed at 6.01?cM. The general linear model was used to calculate the genome-wide marker-trait associations of 10 complex traits. The traits include flesh color around the stone, red pigment in the flesh, flesh texture, flesh adhesion, flesh firmness, fruit weight, chilling requirement, flowering time, ripening time, and fruit development period. These traits were estimated by analyzing the 104 landraces. Many of the associated markers were located in regions where quantitative trait loci (QTLs) were previously identified. Peach association mapping is an effective approach for identifying QTLs and may be an alternative to QTL mapping based on crosses between different lines.     

Genome-Wide Association Mapping for Kernel and Malting Quality Traits Using Historical European Barley Records

Malting quality is an important trait in breeding barley (Hordeum vulgare L.). It requires elaborate, expensive phenotyping, which involves micro-malting experiments. Although there is abundant historical information available for different cultivars in different years and trials, that historical information is not often used in genetic analyses. This study aimed to exploit historical records to assist in identifying genomic regions that affect malting and kernel quality traits in barley. This genome-wide association study utilized information on grain yield and 18 quality traits accumulated over 25 years on 174 European spring and winter barley cultivars combined with diversity array technology markers. Marker-trait associations were tested with a mixed linear model. This model took into account the genetic relatedness between cultivars based on principal components scores obtained from marker information. We detected 140 marker-trait associations. Some of these associations confirmed previously known quantitative trait loci for malting quality (on chromosomes 1H, 2H, and 5H). Other associations were reported for the first time in this study. The genetic correlations between traits are discussed in relation to the chromosomal regions associated with the different traits. This approach is expected to be particularly useful when designing strategies for multiple trait improvements.     

Fine mapping of fw3.2 controlling fruit weight in tomato

Tomato (Solanum lycopersicum) is an important crop in the Solanaceae family. One of the key traits selected during domestication is fruit mass which is controlled by many quantitative trait loci. The fruit weight locus fw3.2 is one of the major loci responsible for fruit mass in tomato. Identification of the underlying gene will improve our understanding of the molecular mechanism of fruit development while also providing insights into genes that were selected during domestication. We fine mapped fw3.2 to a 51.4-kb interval corresponding to a region comprising seven candidate genes. Gene action showed that the allele from cultivated tomato was additive to dominant in giving rise to an enlarged fruit. Fruit shape analysis indicated that fw3.2 primarily played a role in controlling fruit weight, with a minor effect on fruit shape. Gene expression and nucleotide diversity were investigated and the likelihood of the genes control fruit mass is discussed.     

Molecular genetic diversity and association mapping of morphine content and agronomic traits in Turkish opium poppy (<Emphasis Type="Italic">Papaver somniferum</Emphasis>) germplasm

As the sole plant source of many potent alkaloids, opium poppy (Papaver somniferum L.) is an important medicinal crop. Nevertheless, few studies have characterized opium poppy germplasm with crop-specific molecular markers. Because Turkey is a diversity center for opium poppy, Turkish germplasm is a valuable genetic resource for association mapping studies aimed at identifying QTLs controlling morphine content and agronomic traits. In this study, the morphological diversity and molecular diversity of 103 Turkish opium poppy landraces and 15 cultivars were analyzed. Potentially useful morphological variation was observed for morphine content, plant height, and capsule index. However, the landraces exhibited limited breeding potential for stigma number, and seed and straw yields. Both morphological and molecular analyses showed distinct clustering of cultivars and landraces. In addition, a total of 164 SSR and 367 AFLP polymorphic loci were applied to an opium poppy association mapping panel composed of 95 opium poppy landraces which were grown for two seasons. One SSR and three AFLP loci were found to be significantly associated with morphine content (P < 0.01 and LD value (r ²) = 0.10–0.32), and six SSR and 14 AFLP loci were significantly associated with five agronomic traits (plant height, stigma number, capsule index, and seed and straw yields) (P < 0.01 and LD value (r ²) = 0.08–0.35). This is the first report of association mapping in this crop. The identified markers provide initial information for marker-assisted selection of important traits in opium poppy breeding.     

60份优质番茄自交系遗传多样性AFLP分析

本文以AFLP技术对60份优质番茄自交系的遗传多样性进行了分析。17对AFLP引物组合共扩增得到905条带,其中多态性条带251条,平均每对引物检测到约15个多态性位点,平均多态率为27.7%;仅用E7M4和E7M10两对引物组合就可以绘制60份番茄自交系的指纹图谱。60个自交系间的Jaccard遗传相似系数变幅为0.259-0.952,平均值为0.664。采用UPGMA方法聚类,遗传相似系数变幅为0.54-0.57时,60份番茄材料可以划分为7个类群。聚类结果与来源、果实大小、果形等性状未表现出明显的相关性。     

Trait discovery and editing in tomato

Tomato (Solanum lycopersicum), which is used for both processing and fresh markets, is a major crop species that is the top ranked vegetable produced over the world. Tomato is also a model species for research in genetics, fruit development and disease resistance. Genetic resources available in public repositories comprise the 12 wild related species and thousands of landraces, modern cultivars and mutants. In addition, high quality genome sequences are available for cultivated tomato and for several wild relatives, hundreds of accessions have been sequenced, and databases gathering sequence data together with genetic and phenotypic data are accessible to the tomato community. Major breeding goals are productivity, resistance to biotic and abiotic stresses, and fruit sensorial and nutritional quality. New traits, including resistance to various biotic and abiotic stresses and root architecture, are increasingly being studied. Several major mutations and quantitative trait loci (QTLs) underlying traits of interest in tomato have been uncovered to date and, thanks to new populations and advances in sequencing technologies, the pace of trait discovery has considerably accelerated. In recent years, clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9 gene editing (GE) already proved its remarkable efficiency in tomato for engineering favorable alleles and for creating new genetic diversity by gene disruption, gene replacement, and precise base editing. Here, we provide insight into the major tomato traits and underlying causal genetic variations discovered so far and review the existing genetic resources and most recent strategies for trait discovery in tomato. Furthermore, we explore the opportunities offered by CRISPR/Cas9 and their exploitation for trait editing in tomato.     

Association analysis and population structure of flowering-related traits in super sweet corn inbred lines with simple sequence repeat markers

This study assessed the genetic and phenotypic variation of 90 super sweet corn inbred lines and performed association analyses of six agronomical traits using 100 simple sequence repeats (SSR), ultimately detecting 590 alleles, with an average of 5.90 alleles per locus. The average genetic diversity and Polymorphism information content values were 0.54 and 0.50, respectively. Using population structure analysis, inbred lines were divided into three major groups and one admixed group. Association analysis was performed with a general linear model using a Q-matrix (Q GLM) and a mixed linear model using Q and K-matrices (Q + K MLM). Q GLM found 33 marker-trait associations involving 20 SSR markers that were associated with six agronomic traits. Q + K MLM identified four marker-trait associations involving three markers that were associated with traits of days of tasseling (DT) and days of silking (DS). Q GLM and Q + K MLM detected four significant marker-trait associations (SMTAs), with a level of significance of P < 0.01. In overlapping SMTAs, phi051 was associated with DT, umc1708 was associated with DS, and umc2341 was associated with two traits: DT and DS. The detection of loci associated with traits in this study may provide greater opportunities to improve quality by marker-assisted selection (MAS). Finally, these results will be helpful for breeders in choosing parental lines for crossing combinations as well as markers for using MAS in super sweet corn breeding programs in Korea.     

番茄栽培品种SSR标记和形态标记的遗传多样性分析

比较了SSR标记和形态标记在研究番茄栽培品种遗传多样性上的应用。用7对SSR引物检测了11个番茄栽培品种的遗传多样性,共得到53条带,每一个位点上扩增出2-9条带,平均为6条;品种间遗传相似系数在0.39-0.84之间,平均遗传相似系数为0.60。根据11个形态学性状表型值计算的遗传相似系数在0.27-0.72之间,平均遗传相似系数0.58。用UPGMA进行聚类分析,SSR标记和形态标记都可依果肉颜色和果实大小将供试材料分组,即黄色和红色果肉,樱桃小番茄和大、中果形的混合型;两种方法对番茄栽培品种遗传多样性的评价相近。     

Identifying the loci responsible for natural variation in fruit size and shape in tomato

Fruit size and shape are two major factors determining yield, quality and consumer acceptability for many crops. Like most traits important to agriculture, both are quantitatively inherited. Despite their economic importance none of the genes controlling either of these traits have been cloned, and little is known about the control of the size and shape of domesticated fruit. Tomato represents a model fruit-bearing domesticated species characterized by a wide morphological diversity of fruits. The many genetic and genomic tools available for this crop can be used to unraveal the molecular bases of the developmental stages which presumably influence fruit architecture, size and shape. The goal of this review is to summarize data from the tomato QTL studies conducted over the past 15 years, which together allow the identification of the major QTLs responsible for fruit domestication in tomato. These results provide the starting point for the isolation of the genes involved in fruit-size/shape determination in tomato and potentially other fruit-bearing plants. Received: 21 January 1999 / Accepted: 12 March 1999     

Genetic Diversity and Population Structure of Tetraploid Wheats (Triticum turgidum L.) Estimated by SSR,DArT and Pedigree Data

Levels of genetic diversity and population genetic structure of a collection of 230 accessions of seven tetraploid Triticum turgidum L. subspecies were investigated using six morphological, nine seed storage protein loci, 26 SSRs and 970 DArT markers. The genetic diversity of the morphological traits and seed storage proteins was always lower in the durum wheat compared to the wild and domesticated emmer. Using Bayesian clustering (K = 2), both of the sets of molecular markers distinguished the durum wheat cultivars from the other tetraploid subspecies, and two distinct subgroups were detected within the durum wheat subspecies, which is in agreement with their origin and year of release. The genetic diversity of morphological traits and seed storage proteins was always lower in the improved durum cultivars registered after 1990, than in the intermediate and older ones. This marked effect on diversity was not observed for molecular markers, where there was only a weak reduction. At K >2, the SSR markers showed a greater degree of resolution than for DArT, with their identification of a greater number of groups within each subspecies. Analysis of DArT marker differentiation between the wheat subspecies indicated outlier loci that are potentially linked to genes controlling some important agronomic traits. Among the 211 loci identified under selection, 109 markers were recently mapped, and some of these markers were clustered into specific regions on chromosome arms 2BL, 3BS and 4AL, where several genes/quantitative trait loci (QTLs) are involved in the domestication of tetraploid wheats, such as the tenacious glumes (Tg) and brittle rachis (Br) characteristics. On the basis of these results, it can be assumed that the population structure of the tetraploid wheat collection partially reflects the evolutionary history of Triticum turgidum L. subspecies and the genetic potential of landraces and wild accessions for the detection of unexplored alleles.     

Association mapping for phenological, morphological, and quality traits in canola quality winter rapeseed (Brassica napus L.)

QTL mapping by association analysis has recently gained interest in plant breeding research as an alternative to QTL mapping in segregating populations from biparental crosses. In a first experiment on whole-genome association analysis in rapeseed, 684 mapped AFLP markers were tested for association with 14 traits in a set of 84 canola quality winter rapeseed cultivars. For association analysis a general linear model was used. By testing significance of marker-trait associations against a false discovery rate of 0.2, between 1 and 34 associated markers were found for 10 of the 14 traits. Taking into account linkage disequilibrium between the significant markers, these markers represent between 1 and 22 putative QTL for the respective traits. The minimum phenotypic variance explained by the QTL for the different traits ranged from 15% to 53%. A subset of 27 markers were significantly associated with two or more traits. These markers were predominantly shared between traits that were significantly correlated at the phenotypic level. The results show clearly that in rapeseed, QTL mapping by association analysis is a viable alternative to QTL mapping in segregating populations.     

Phenotypic diversity and association mapping for fruit quality traits in cultivated tomato and related species

Association mapping has been proposed as an efficient approach to assist in the identification of the molecular basis of agronomical traits in plants. For this purpose, we analyzed the phenotypic and genetic diversity of a large collection of tomato accessions including 44 heirloom and vintage cultivars (Solanum lycopersicum), 127 S. lycopersicum var. cerasiforme (cherry tomato) and 17 Solanum pimpinellifolium accessions. The accessions were genotyped using a SNPlex? assay of 192 SNPs, among which 121 were informative for subsequent analysis. Linkage disequilibrium (LD) of pairwise loci and population structure were analyzed, and the association analysis between SNP genotypes and ten fruit quality traits was performed using a mixed linear model. High level of LD was found in the collection at the whole genome level. It was lower when considering only the 127 S. lycopersicum var. cerasiforme accessions. Genetic structure analysis showed that the population was structured into two main groups, corresponding to cultivated and wild types and many intermediates. The number of associations detected per trait varied, according to the way the structure was taken into account, with 0–41 associations detected per trait in the whole collection and a maximum of four associations in the S. lycopersicum var. cerasiforme accessions. A total of 40 associations (30 %) were co-localized with previously identified quantitative trait loci. This study thus showed the potential and limits of using association mapping in tomato populations.     

A survey of cultivated heirloom tomato varieties identifies four new mutant alleles at the green-flesh locus

The process of crop domestication occurs through the selection and subsequent propagation of novel alleles that improve traits of interest. Cultivated tomato (Solanum lycopersicum), particularly heirloom varieties, exhibit a wide range of variation in fruit size, shape and color. The green-flesh mutant of tomato possesses a stay-green phenotype resulting in fruits that ripen to a red-brown color, due to the retention of chlorophyll and the simultaneous accumulation of lycopene. The recent identification of the GREEN-FLESH gene provides a molecular tool with which to investigate the origin of a subset of cultivated tomato varieties that resemble the green-flesh mutant. Sequence analysis of the GF locus from 26 varieties revealed the existence of four previously unidentified null alleles. This study illustrates the potential of cultivated tomato varieties, including heritage cultivars, heirlooms, and land races, for uncovering new alleles in genes of interest.     

Association analysis of historical bread wheat germplasm using additive genetic covariance of relatives and population structure

Linkage disequilibrium can be used for identifying associations between traits of interest and genetic markers. This study used mapped diversity array technology (DArT) markers to find associations with resistance to stem rust, leaf rust, yellow rust, and powdery mildew, plus grain yield in five historical wheat international multienvironment trials from the International Maize and Wheat Improvement Center (CIMMYT). Two linear mixed models were used to assess marker-trait associations incorporating information on population structure and covariance between relatives. An integrated map containing 813 DArT markers and 831 other markers was constructed. Several linkage disequilibrium clusters bearing multiple host plant resistance genes were found. Most of the associated markers were found in genomic regions where previous reports had found genes or quantitative trait loci (QTL) influencing the same traits, providing an independent validation of this approach. In addition, many new chromosome regions for disease resistance and grain yield were identified in the wheat genome. Phenotyping across up to 60 environments and years allowed modeling of genotype x environment interaction, thereby making possible the identification of markers contributing to both additive and additive x additive interaction effects of traits.