A comparison of genetic variation among wild and cultivated Morus Species (Moraceae: Morus) as revealed by ISSR and SSR markers

In this study, inter-simple sequence repeats (ISSR) ans simple sequence repeat (SSR) markers were used to investigate genetic diversity of 27 mulberry accessions including 19 cultivated accessions (six M. multicaulis, three M. alba, two M. atropurpurea, two M. bombycis, one M. australis, two M. rotundiloba, one M. alba var. pendula, one M. alba var. macrophylla, and one M. alba var. venose) and 8 wild accessions (two M. cathayana, two M. laevigata, two M. wittiorum, one M. nigra and one M. mongolica). ISSRs and SSRs were compared in terms of their informativeness and efficiency in a study of genetic diversity and relationships among 27 mulberry genotypes. SSRs presented a higher level of polymorphism and greater information content. All index values of genetic diversity both markers analyzed using Popgene 32 software indicated that within wild species had higher genetic diversity than within cultivated species. Cultivation may caused the lose of genetic diversity of mulberry compared with wild species revealed by ISSR and SSR markers. The mean genetic similarity coefficients among all mulberry genotypes ascribed by ISSR and SSR matrices were 0.7677 and 0.6131, respectively. For all markers a high similarity in dendrogram topologies was obtained although some differences were observed. Cluster analysis of ISSR and SSR using UPGMA method revealed that the wild species are genetically distant from the domesticated species studied here. The correlation coefficients of similarity were statistically significant for both marker systems used. Principal coordinates analysis (PCA) for ISSR and SSR data also supports their UPGMA clustering. These results have an important implication for mulberry germplasm characterization, improvement, molecular systematics and conservation.     

DArT for high-throughput genotyping of Cassava (Manihot esculenta) and its wild relatives

Understanding the distribution of genetic diversity within and among individuals, populations, species and gene pools is crucial for the efficient management of germplasm collections. Molecular markers are playing an increasing role in germplasm characterization, yet their broad application is limited by the availability of markers, the costs and the low throughput of existing technologies. This is particularly true for crops of resource-poor farmers such as cassava, Manihot esculenta. Here we report on the development of Diversity Arrays Technology (DArT) for cassava. DArT uses microarrays to detect DNA polymorphism at several hundred genomic loci in a single assay without relying on DNA sequence information. We tested three complexity reduction methods and selected the two that generated genomic representations with the largest frequency of polymorphic clones (PstI/TaqI: 14.6%, PstI/BstNI: 17.2%) to produce large genotyping arrays. Nearly 1,000 candidate polymorphic clones were detected on the two arrays. The performance of the PstI/TaqI array was validated by typing a group of 38 accessions, 24 of them in duplicate. The average call rate was 98.1%, and the scoring reproducibility was 99.8%. DArT markers displayed fairly high polymorphism information content (PIC) values and revealed genetic relationships among the samples consistent with the information available on these samples. Our study suggests that DArT offers advantages over current technologies in terms of cost and speed of marker discovery and analysis. It can therefore be used to genotype large germplasm collections.Electronic Supplementary Material Supplementary material is available for this article at     

Identification and characterization of simple sequence repeat (SSR) markers derived in silico from Brassica oleracea genome shotgun sequences

The availability of sequence data derived from shotgun sequencing programs enables mining for simple sequence repeats (SSRs), providing useful genetic markers for crop improvement. This study presents the development and characterization of 40 SSR markers from Brassica oleracea shotgun sequence and their cross‐amplification across Brassica species. The markers show reliable amplification, genome specificity and considerable polymorphism, demonstrating the utility of SSRs for genetic analysis of commercial Brassica germplasm.     

Microsatellite loci in Bactris gasipaes (Arecaceae): their isolation and characterization

We constructed a microsatellite‐enriched genomic library for Bactris gasipaes, an economically important, domesticated palm. We developed 18 polymorphic microsatellite markers, and found an average of seven alleles per locus in a sample of 14 individuals selected from a germplasm bank. Cross‐species amplification was evaluated in six other Bactris species. The loci detected will permit population studies and germplasm characterization, and can be used for genetic analyses in related species.     

Identification and characterization of simple sequence repeat markers from Brassica napus expressed sequences

The availability of expressed sequence data derived from gene discovery programs enables mining for simple sequence repeats (SSR), providing useful genetic markers for crop improvement. These markers are inexpensive, require minimal labour to produce and can frequently be associated with functionally annotated genes. This study presents the development and characterization of 24 expressed sequence tags (EST)‐SSR markers from Brassica napus and their cross‐amplification across Brassica species. The markers show reliable amplification, genome specificity and considerable polymorphism, demonstrating the utility of EST‐SSRs for genetic analysis of wild Brassica populations and commercial Brassica germplasm.     

Isolation and characterization of nine microsatellite markers from Coffea arabica L., showing wide cross‐species amplifications

Genetic improvement of coffee (Coffea arabica L.) is constrained by low genetic diversity and lack of genetic markers, suitable screening tools, information on the genetic make‐up of available gene pool and long generation time. In this context, use of DNA markers such as microsatellites that provide high genetic‐resolution becomes highly desirable. Here, we report the development of nine new microsatellite markers from partial genomic library of an elite variety of Coffea arabica. The developed microsatellites revealed robust cross‐species amplifications in 17 related species of coffee, and their Polymorphic Information Content varied from 0 to 0.6, 0 to 0.78 and 0.67 to 0.90 for the arabica, robusta genotypes and species representatives, respectively. The data thus suggest their potential use as genetic markers for assessment of germplasm diversity and linkage analysis of coffee.     

Isolation and characterization of 15 microsatellite loci from mango (Mangifera indica L.) and cross‐species amplification in closely related taxa

We report here on the development and characterization of 15 microsatellite loci isolated from Mangifera indica L. These markers were evaluated using 59 Florida cultivars and four related species from the USDA germplasm collection for mango. Two loci were monomorphic and 13 polymorphic, with two to seven alleles per locus. Four loci departed significantly from Hardy–Weinberg equilibrium and have significant heterozygote deficiency. Nine loci exhibited significant linkage disequilibrium. Cross‐species amplification was successful in four related species. These loci are being used to investigate patterns of genetic variation within M. indica and between closely related species.     

Identification and characterization of simple sequence repeat (SSR) markers from Fragaria×ananassa expressed sequences

The availability of expressed sequence data derived from gene discovery programmes enables mining for simple sequence repeats (SSRs), providing useful genetic markers for crop improvement. These markers are inexpensive, require minimal labour to produce and can frequently be associated with functionally annotated genes. This study reports on the development and characterization of expressed sequence tag (EST)–SSR markers in the cultivated strawberry, Fragaria×ananassa. Fourteen primer pairs were assessed for polymorphism in 13 F.×ananassa genotypes. The markers show reliable amplification and considerable polymorphism, demonstrating the utility of EST–SSRs for genetic analysis of commercial strawberry germplasm.     

Comparative study of different molecular markers for classifying and establishing genetic relationships in Coffea canephora

The genetic variability characterization of the accessions of the germplasm collection, using molecular markers, is being applied as a complementary strategy to the traditional approaches to redefine the plant genetic resources. In this study, we compared the informativeness and efficiency of the molecular markers RAPD, AFLP and SSR in the analysis of 94 accessions of Coffea canephora germplasm held by the breeding program of the Brazilian Agricultural Research Corporation (Embrapa), Rondônia State, Brazil. For this, we considered the marker’s discriminatory power and level of polymorphism detected and also the genetic relationships and clustering (dendrogram) analysis. The RAPD marker yielded low-quality data and problems in the discrimination of some accessions, being less recommended for genetic studies of C. canephora. The SSRs had a higher level of information content and yielded high-quality data, while AFLP was the most efficient marker system because of the simultaneous detection of abundant polymorphism markers per few reactions. Our results indicate that AFLP and SSR, allies to the intrinsic characteristics of each technique, are the most suitable molecular markers for genetic studies of C. canephora. However, the choice of AFLP or SSR in the species characterization should be made in agreement with some characteristics that are discussed in this work.     

Genetic relationships of Japanese and Indian mulberry (Morus spp.) genotypes revealed by DNA fingerprinting

Mulberry (Morus spp.), a deciduous tree, originated at the foothills of the Himalayas and is used in sericulture for its leaf to feed the silkworm Bombyx mori L. Species differentiation among the genotypes of the genus Morus has never been out of debate as inter-specific hybridization events are often fertile. In the present study attempts were made to elucidate the genetic relationships among 18 mulberry genotypes collected from India and Japan using 15 Inter Simple Sequence Repeat (ISSR) and 15 Random Amplified Polymorphic DNA (RAPD) primers. The ISSR primers generated 81.13% polymorphism while the RAPDs generated 71.78% polymorphism. The polymorphic index of the primers identified UBC-812, UBC-826, UBC827, UBC-881, OPA-01, OPA-02, OPA-04 and OPH-17 as informative primers in mulberry. The genetic similarity coefficients and the dendrograms showed considerable genetic similarity among the genotypes. However, using the DNA markers, these genotypes were discriminated into two major groups in accordance with their geographic origin and species status. Distribution of the genotypes on a two-dimensional figure on the basis of the ALSCAL algorithm using Euclidean distance further confirmed the genetic divergence between these two groups. From the study it can be concluded that though morphologically Japanese and Indian mulberry genotypes show little divergence, genetic analysis using DNA markers could unravel significant genetic variation between these two groups. Similarly, while the species status of Japanese mulberry genotypes agrees with the genetic analysis, the same does not apply to Indian genotypes, in agreement with many earlier reports. The information generated in this study is of much use for taxonomical grouping and also for utilization in breeding and conservation programs.     

Development,Characterization, and Cross Species/Genera Transferability of Novel EST-SSR Markers in Lentil,with Their Molecular Applications

Lentil is nutritionally important crop for human diet and enriched with quality protein, complex carbohydrates, fibers, essential minerals, and vitamins. However, genetic improvement of lentil is hampered largely due to unattributed and unexploited genetic and genomic resources. To administer genomic resources in lentil, we have identified 9949 EST-SSR loci from lentil RNA Seq data and validated 50 of them using 234 genotypes representing various Lens species and 34 accessions of 12 different legumes. Out of 50 EST-SSRs, 46 were polymorphic with polymorphic information content (PIC) ranging from 0.16–0.74. The transferability of these markers exhibited varied levels from 45.1 to 71.3% across the cultivated/wild species of lentil and from 10.8 to 54.3% across the twelve legume genera. On the basis of total identified EST-SSRs, mononucleotide (51%) repeat proportion was high followed by trinucleotide (30%) and dinucleotide (14%) repeat. Population structure and cluster analysis classified all the studied genotypes into 4 groups. However, principal coordinate analysis (PCA) was able to group genotypes based on their area of collection. Annotation of all the 46 polymorphic marker sequences revealed that most of the markers linked to genes involved in metabolism of plants. Further, polymorphic markers were also used for linkage mapping in F₃ population where 4 markers were found to be linked with a map distance of 72.5 cM. The newly developed markers represent an impressive tool for characterization of germplasm, genetic linkage mapping, phylogenetic studies, as well as to determine disparity in taxonomic status of subspecies of the genus Lens.

     

Identification and assessment of genetic relationships in three <Emphasis Type="Italic">Chlorophytum</Emphasis> species and two high yielding genotypes of <Emphasis Type="Italic">C. borivilianum</Emphasis> through RAPD markers

Conservation of identified germplasm is an important component for efficient and effective management of plant genetic resources. Since Chlorophytum species are important medicinal plants, studies were carried out for identification and establish genetic relationships in three species of Chlorophytum and two high yielding genotypes of Chlorophtum borivilianum using RAPD markers. Out of one hundred primers tested, 47 decamers amplified a total of 454 distinct bands ranging from 0.25–3.0 kbp to identify and to evaluate genetic relationships between and among three species of Chlorophytum and two genotypes of Chlorophtum borivilianum. The cluster analysis indicated that three species of Chlorophytum and two genotypes (NRCCB-1 and NRCCB-2) of C. borivilianum formed two major clusters. The first major cluster constituted C. arundinaceum and C. tuberosum, and the second major cluster composed of two subclusters; the first subcluster represented NRCB-1 and NRCB-2 where as the second subcluster represented C. borivilianum. Thus, the RAPD markers have the potential for identification and characterization of genetic relatedness among the species and genotypes. C. borivilianum along with two genotypes also showed similar banding patterns which could be chosen as candidate markers for differentiating the other two species such as C. arundinaceum and C. tuberosum. This would helpful for breeding programmes and provides an important input in conservation biology.     

Development and characterization of microsatellite markers in pomegranate (<Emphasis Type="Italic">Punica granatum</Emphasis> L.)

The pomegranate (Punica granatum L.) is a temperate climate species requiring high temperatures for proper and complete ripening. The species is consumed as a fresh fruit, but also can be used to obtain transformed products such as juice, jam, or preserve. It is a fruit tree species with a high degree of diversity, but the identification of cultivars by morphological traits is very difficult. Thus, the characterization of genotypes through molecular markers is of great value for germplasm preservation, genetic studies, and plant breeding. The number of simple sequence repeat (SSR or microsatellite) markers developed for this genus is too low, so in this work we report the development of 117 microsatellite loci from a CT/AG-enriched pomegranate genomic library. In order to check their utility, eleven accessions were analyzed. The polymorphism information content (PIC) value across all loci ranged between 0.09 and 0.71, with an average of 0.37. These markers will facilitate genetic diversity studies, mapping, and genotyping of pomegranate.     

Development, characterization, genetic diversity and cross-species/genera transferability of ILP markers in rubber tree (Hevea brasiliensis)

To construct a linkage map enriched with tapping panel dryness (TPD)-related markers, we firstly utilized rubber tree ESTs associated with TPD to develop intron length polymorphism (ILP) markers. In this study, 52 new ILP markers were further developed. Together with the ILP markers previously reported, 102 ILP markers developed from TPD-related ESTs were analyzed within 39 Hevea germplasm in detail. The PCR success rate and polymorphism rate of ILP markers was 97.06 and 61.62 %, respectively. The results based on PCR amplification and sequence analyses provided the evidences on cross-species/genera transferability of rubber tree ILP markers. The average polymorphic information content (PIC) values of 39 Hevea germplasm were about 0.1719, indicating that the genetic base of Hevea germplasm selected in this study was very narrow. Among 39 Hevea germplasm, the PIC value of wild rubber tree accessions was the highest, followed by Hevea species and cultivated rubber tree clones. Based on the similarity coefficient of ILP markers, 39 Hevea germplasm were divided into three groups including cultivated clones, wild accessions and Hevea species, suggesting that the classification was generally related to the characterization of Hevea germplasm. The ILP markers developed in this study further enriches the number of molecular marker in rubber tree, and the ILP markers will have a wide application in DNA fingerprinting, genetic diversity, marker-assisted selection and genetic mapping, etc. Moreover, the ILP markers transferred cross-euphorbiaceae family might be utilized in cassava, castor bean and physic nut.     

Genetic variability and association of ISSR markers with some biochemical traits in mulberry (Morus spp.) genetic resources available in India

Utilizing intersimple sequence repeat (ISSR) markers, 18 mulberry (Morus spp.) germplasm collections were studied for genetic variability, phylogenetic relationship, and association with protein and sugar content. The genetic polymorphism exhibited by ISSR primers was 100%, and the genetic diversity recorded among the mulberry accessions had an average of 0.263 ± 0.094. Dendrogram (unweighted pair group method analysis) clustered the mulberry accessions into two major groups, one comprised the accessions collected from north or northeast regions of India, and the other comprised three subclusters and one isolate, i.e., Assamjati, a collection from Assam. Another subcluster contained accessions collected from Kerala, which belong to Morus indica. These accessions of M. indica from Kerala were found to be genetically diverse from north and northeast India. Multidimensional scaling of the ISSR data clearly separated the mulberry accessions according to their genetic diversity and protein content. Mulberry accessions were arbitrarily grouped into three classes viz. very low, moderate, and high in terms of protein and sugar content using standard statistical programs. Stepwise multiple regression analysis identified four ISSR markers (835_1,600, 835_5,600, 822_2,500, and 807_2,500) associated with protein content with highly positive correlation (p < 0.001) with linear curves with high F values (18.055 to 48.674; p < 0.001). In case of sugar content, four ISSR markers viz. 812₉₀₀, 817_1,500, 826_1,500, and 810_8,000 showed negative correlation. Hence, DNA markers for proteins seem promising and may be used in marker-assisted breeding program.     

Using minimum DNA marker loci for accurate population classification in rice (Oryza sativa L.)

Because of the rich diversity among rice accessions grown around the world in distinct environments, traditional methods using morphology, cross compatibility and geography for classifying rice accessions according to different sub-populations have given way to use of molecular markers. Having a few robust markers that can quickly assign population structure to germplasm will facilitate making more informed choices about genetic diversity within seedbanks and breeding genepools. WHICHLOCI is a computer program that selects the best combination of loci for population assignment through empirical analysis of molecular marker data. This program has been used in surveys of plant species, for fish population assignment, and in human ancestry analysis. Using WHICHLOCI, we ranked the discriminatory power of 72 DNA markers used to genotype 1,604 accessions of the USDA rice core collection, and developed panels with a minimum number of markers for population assignment with 99% or higher accuracy. A total of 14 markers with high discriminatory power, genetic diversity, allelic frequency, and polymorphic information content were identified. A panel of just four markers, RM551, RM11, RM224 and RM44, was effective in assigning germplasm accessions to any of five sub-populations with 99.4% accuracy. Panels using only three markers were effective for assignment of rice germplasm to specific sub-populations, tropical japonica, temperate japonica, indica, aus, and aromatic. Assignment to tropical japonica, temperate japonica, or indica sub-populations was highly reliable using 3–4 markers, demonstrated by the high correlation with assignment using 72 markers. However, population assignment to aus and aromatic groups was less reliable, possibly due to the smaller representation of this material in the USDA core collection. More reference cultivars may be needed to improve population assignment to these two groups. This study demonstrated that a small number of DNA markers is effective for classification of germplasm into five sub-populations in rice. This will facilitate rapid screening of large rice germplasm banks for population assignment at a modest cost. The resulting information will be valuable to researchers to verify population classification of germplasm prior to initiating genetic studies, maximizing genetic diversity between sub-populations, or minimizing cross incompatibility while maximizing allelic diversity within specific sub-populations.     

Characterization of simple sequence repeat markers derived in silico from Brassica rapa bacterial artificial chromosome sequences and their application in Brassica napus

A collaborative Brassica rapa genome sequencing project is currently in progress to aid the identification of agronomically important traits in Brassica species. As an initial stage, the ends of over 110 000 bacterial artificial chromosome clones were sequenced and mined for simple sequence repeats (SSRs). We present the characterization of 40 of these SSRs and their application in Brassica napus. The markers were screened against six Brassica species and Arabidopsis, and demonstrated reliable amplification, genome specificity, cross‐amplification and significant polymorphism. These SSRs will be useful for genetic analysis of Brassica germplasm.     

Genetic diversity analysis in sorghum germplasm as estimated by AFLP, SSR and morpho-agronomical markers

A comparison of the different methods of the estimation of genetic diversity is important to evaluate their utility as a tool in germplasm conservation and plant breeding. Amplified fragment length polymorphism (AFLP), microsatellites or SSR and morphological traits markers were used to evaluate 45 sorghum germplasm for genetic diversity assessment and discrimination power. The mean polymorphism information content (PIC) values were 0.65 (AFLPs) and 0.46 (SSRs). The average pairwise genetic distance estimates were 0.57 (morphological traits), 0.62 (AFLPs) and 0.60 (SSRs) markers data sets. The Shannon diversity index was higher for morphological traits (0.678) than AFLP (0.487) and SSR (0.539). The correlation coefficients obtained by the Mantel matrix correspondence test, which was used to compare the cophenetic matrices for the different markers, showed that estimated values of genetic relationship given for AFLP and SSR markers, as well as for morphological and SSR markers were significantly related (p <0.001). However, morphological and AFLP data showed non-significant correlation (p >0.05). Both data sets from AFLP and SSR allowed all accessions to be uniquely identified; two accessions could not be distinguished by the morphological data. In summary, AFLP and SSR markers proved to be efficient tools in assessing the genetic variability among sorghum genotypes. The patterns of variation appeared to be consistent for the three marker systems, and they can be used for designing breeding programmes, conservation of germplasm and management of sorghum genetic resources.