First RFLP linkage map of red clover ( Trifolium pratense L.) based on cDNA probes and its transferability to other red clover germplasm

Integration of high-throughput omics technologies in medicinal plant research: The new era of natural drug discovery

Medicinal plants are natural sources to unravel novel bioactive compounds to satisfy human pharmacological potentials. The world's demand for herbal medicines is increasing year by year; however, large-scale production of medicinal plants and their derivatives is still limited. The rapid development of modern technology has stimulated multi-omics research in medicinal plants, leading to a series of breakthroughs on key genes, metabolites, enzymes involved in biosynthesis and regulation of active compounds. Here, we summarize the latest research progress on the molecular intricacy of medicinal plants, including the comparison of genomics to demonstrate variation and evolution among species, the application of transcriptomics, proteomics and metabolomics to explore dynamic changes of molecular compounds, and the utilization of potential resources for natural drug discovery. These multi-omics research provide the theoretical basis for environmental adaptation of medicinal plants and allow us to understand the chemical diversity and composition of bioactive compounds. Many medicinal herbs' phytochemical constituents and their potential health benefits are not fully explored. Given their large diversity and global distribution as well as the impacts of growth duration and environmental factors on bioactive phytochemicals in medicinal plants, it is crucial to emphasize the research needs of using multi-omics technologies to address basic and applied problems in medicinal plants to aid in developing new and improved medicinal plant resources and discovering novel medicinal ingredients.

Chromosome and Genome Diversity in the Genus Trifolium (Fabaceae)

Trifolium L. is an economically important genus that is characterized by variable karyotypes relating to its ploidy level and basic chromosome numbers. The advent of genomic resources combined with molecular cytogenetics provides an opportunity to develop our understanding of plant genomes in general. Here, we summarize the current state of knowledge on Trifolium genomes and chromosomes and review methodologies using molecular markers that have contributed to Trifolium research. We discuss possible future applications of cytogenetic methods in research on the Trifolium genome and chromosomes.

Transcriptome analysis reveals major transcriptional changes during regrowth after mowing of red clover (Trifolium pratense)

BACKGROUND

Red clover (Trifolium pratense) is globally used as a fodder plant due its high nutritional value and soil improving qualities. In response to mowing, red clover exhibits specific morphological traits to compensate the loss of biomass. The morphological reaction is well described, but the underlying molecular mechanisms and its role for plants grown in the field are unclear.

RESULTS

Here, we characterize the global transcriptional response to mowing of red clover by comparing plants grown under greenhouse conditions with plants growing on agriculturally used fields. Unexpectedly, we found that biotic and abiotic stress related changes of plants grown in the field overlay their regrowth related transcriptional changes and characterized transcription related protein families involved in these processes. Further, we can show that gibberellins, among other phytohormones, also contribute to the developmental processes related to regrowth after biomass-loss.

CONCLUSIONS

Our findings show that massive biomass loss triggers less transcriptional changes in field grown plants than their struggle with biotic and abiotic stresses and that gibberellins also play a role in the developmental program related to regrowth after mowing in red clover. Our results provide first insights into the physiological and developmental processes of mowing on red clover and may serve as a base for red clover yield improvement.

Enhancing of nitrogen fixation by legumes

To increase the legumes’ nitrogen fixation, the seeds were treated with a mixture of biopreparations of 4-aminobenzoic acid (PABA) at a concentration of 0.05% aqueous solution, to with adding of “Nikfan” biopreparation in an amount of 0.1% of the solution volume. The seeds of leguminous grasses such as clover and alfalfa were soaked in this mixture, and 10-15 days after emergence of seedlings, foliar feeding of this concentration was carried out. In the phase of budding and the beginning of flowering, plant productivity was accounted and active nodules were counted. We used variants with seed treatment by industrial strains for each culture, as well as without biopreparation treatment, as a control experiment. As a result of the obtained data, it was found that the use of a biopreparations mixture significantly increases the number of nodules, more biological nitrogen is accumulated in the soil, and protein content in the herbage increases. Correlation was established between the number of nodule bacteria and leaf area at the 4th-5th internodes in clover and the 6th-7th in alfalfa.

Construction of the first high-density genetic linkage map and identification of seed yield-related QTLs and candidate genes in Elymus sibiricus, an important forage grass in Qinghai-Tibet Plateau

Background

Elymus sibiricus is an ecologically and economically important perennial, self-pollinated, and allotetraploid (StStHH) grass, widely used for forage production and animal husbandry in Western and Northern China. However, it has low seed yield mainly caused by seed shattering, which makes seed production difficult for this species. The goals of this study were to construct the high-density genetic linkage map, and to identify QTLs and candidate genes for seed-yield related traits.

Results

An F₂ mapping population of 200 individuals was developed from a cross between single genotype from “Y1005” and “ZhN06”. Specific-locus amplified fragment sequencing (SLAF-seq) was applied to construct the first genetic linkage map. The final genetic map included 1971 markers on the 14 linkage groups (LGs) and was 1866.35 cM in total. The length of each linkage group varied from 87.67 cM (LG7) to 183.45 cM (LG1), with an average distance of 1.66 cM between adjacent markers. The marker sequences of E. sibiricus were compared to two grass genomes and showed 1556 (79%) markers mapped to wheat, 1380 (70%) to barley. Phenotypic data of eight seed-related traits (2016–2018) were used for QTL identification. A total of 29 QTLs were detected for eight seed-related traits on 14 linkage groups, of which 16 QTLs could be consistently detected for two or three years. A total of 6 QTLs were associated with seed shattering. Based on annotation with wheat and barley genome and transcriptome data of abscission zone in E. sibiricus, we identified 30 candidate genes for seed shattering, of which 15, 7, 6 and 2 genes were involved in plant hormone signal transcription, transcription factor, hydrolase activity and lignin biosynthetic pathway, respectively.

Conclusion

This study constructed the first high-density genetic linkage map and identified QTLs and candidate genes for seed-related traits in E. sibiricus. Results of this study will not only serve as genome-wide resources for gene/QTL fine mapping, but also provide a genetic framework for anchoring sequence scaffolds on chromosomes in future genome sequence assembly of E. sibiricus.

Genetic diversity between two Egyptian clover varieties and QTL analysis for some agro-morphological traits

Genetic diversity between two ecotypes of Egyptian clover varieties, namely Fahl (mono-cut) and Helaly (multi-cut) have been assessed based on forage yield and yield components as well as molecular marker systems. The two parental genotypes were crossed to produce seeds of F₁ and F₂ progenies. Analyses of variance indicated significant differences between four populations (P₁ (Fahl), P₂ (Helaly), F₁ and F₂) for fresh forage yield, number of florets/inflorescence, number of seeds/inflorescence and 1000 seed weight. The mean of F₁ hybrid indicated over-dominance of the higher performance. The phenotypic and genotypic coefficients of variation were high for fresh forage yield, intermediate for 1000-seed weight and low for number of florets/inflorescence and number of seeds/inflorescence. Four molecular marker systems with 80 primers, 30 RAPD, 10 ISSR, 10 SRAP and 30 SSR were used for studying the genetic diversity between the two parents, out of which 64 primers (26 RAPD, 7 ISSR, 7 SRAP and 24 SSR) were polymorphic between the parents. The four molecular marker systems generated unique DNA bands for each parent. Twenty-one primers which produced higher unique bands in both parents were surveyed on bulked DNA from the extremes of four agro-morphological traits within and between the two ecotypes in F₂ generations. Twenty-one primers produced bands distinguish between the bulked extremes for at least one trait within each ecotype or between the two ecotypes. All polymorphic primers were subjected to QTL analysis, out of them 23 only were mapped on three linkage groups with four agro-morphological traits and showed 24 putative QTLs.

De novo and reference transcriptome assembly of transcripts expressed during flowering provide insight into seed setting in tetraploid red clover

Red clover (Trifolium pratense L.) is one of the most important legume forage species in temperate livestock agriculture. Tetraploid red clover cultivars are generally producing less seed than diploid cultivars. Improving the seed setting potential of tetraploid cultivars is necessary to utilize the high forage quality and environmentally sustainable nitrogen fixation ability of red clover. In the current study, our aim was to identify candidate genes involved in seed setting. Two genotypes, ‘Tripo’ with weak seed setting and ‘Lasang’ with strong seed setting were selected for transcriptome analysis. De novo and reference based analyses of transcriptome assemblies were conducted to study the global transcriptome changes from early to late developmental stages of flower development of the two contrasting red clover genotypes. Transcript profiles, gene ontology enrichment and KEGG pathway analysis indicate that genes related to flower development, pollen pistil interactions, photosynthesis and embryo development are differentially expressed between these two genotypes. A significant number of genes related to pollination were overrepresented in ‘Lasang’, which might be a reason for its good seed setting ability. The candidate genes detected in this study might be used to develop molecular tools for breeding tetraploid red clover varieties with improved seed yield potentials.

Kazusa Marker DataBase: a database for genomics, genetics, and molecular breeding in plants

In order to provide useful genomic information for agronomical plants, we have established a database, the Kazusa Marker DataBase (http://marker.kazusa.or.jp). This database includes information on DNA markers, e.g., SSR and SNP markers, genetic linkage maps, and physical maps, that were developed at the Kazusa DNA Research Institute. Keyword searches for the markers, sequence data used for marker development, and experimental conditions are also available through this database. Currently, 10 plant species have been targeted: tomato (Solanum lycopersicum), pepper (Capsicum annuum), strawberry (Fragaria × ananassa), radish (Raphanus sativus), Lotus japonicus, soybean (Glycine max), peanut (Arachis hypogaea), red clover (Trifolium pratense), white clover (Trifolium repens), and eucalyptus (Eucalyptus camaldulensis). In addition, the number of plant species registered in this database will be increased as our research progresses. The Kazusa Marker DataBase will be a useful tool for both basic and applied sciences, such as genomics, genetics, and molecular breeding in crops.

Mapping candidate QTLs related to plant persistency in red clover

Red clover (Trifolium pratense L.) is a diploid (2n = 14), self-incompatible legume that is widely cultivated as a forage legume in cold geographical regions. Because it is a short-lived perennial species, improvement of plant persistency is the most important objective for red clover breeding. To develop a marker-assisted selection (MAS) approach for red clover, we identified candidate QTLs related to plant persistency. Two full-sib mapping populations, 272 x WF1680 and HR x R130, were used for QTL identification. Resistance to Sclerotinia trifoliorum and Fusarium species, as well as to winter hardiness, was investigated in the laboratory and in field experiments in Moscow region (Russia), and Sapporo (Japan). With the genotype data derived from microsatellite and other DNA markers, candidate QTLs were identified by simple interval mapping (SIM), Kruskal-Wallis analysis (KW analysis) and genotype matrix mapping (GMM). A total of 10 and 23 candidate QTL regions for plant persistency were identified in the 272 x WF1680 and the HR x R130 mapping populations, respectively. The QTLs identified by multiple mapping approaches were mapped on linkage group (LG) 3 and LG6. The significant QTL interactions identified by GMM explained the higher phenotypic variation than single effect QTLs. Identification of haplotypes having positive effect QTLs in each parent were first demonstrated in this study for pseudo-testcross mapping populations in plant species using experimental data.

Molecular characterization of a novel soybean gene encoding a neutral PR-5 protein induced by high-salt stress

In this study, we characterized a novel soybean gene encoding a neutral PR-5 protein and compared it to two acidic isoforms of soybean PR-5 protein. This gene, designated as Glycine max osmotin-like protein, b isoform (GmOLPb, accession no. AB370233), encoded a putative protein having the greatest similarity to chickpea PR-5b (89% identity). Unlike the two acidic PR-5, GmOLPa and P21, the protein had a C-terminal elongation responsible for possible vacuolar targeting and after maturation showed a calculated molecular mass of 21.9kDa with pI 6.0. The 3D models, predicted by the homology modeling, contained four alpha-helixes and 16 beta-strands and formed three characteristic domains. The two acidic PR-5 proteins also showed a 3D structure very similar to GmOLPb, although the electrostatic potential on molecular surface of each PR-5 was significantly different. In the study of the gene expression under conditions of high-salt stress, GmOLPb was highly induced in the leaves of the soybean, particularly in the lower part of a leaf. The expression started at 2h after initiation of the stress and was highly induced between 18-72h. Gene expression of P21e (protein homologous to P21) was transiently induced by high-salt stress, but took place earlier than the gene expressions of GmOLPa and GmOLPb. Such differential expression was observed also under investigation with methyl jasmonate and salicylic acid. These results suggested that each soybean PR-5 might play a distinctive role in the defensive system protecting the soybean plant against high-salt stress, particularly in the leaves of the soybean.

Chromosome maps of legumes

Legumes are of immense importance as food and feed, and for sustainable agriculture, due to their ability to fix nitrogen. Here, the chromosome maps of the legumes soybean (Glycine max), Lotus (Lotus japonicus), and red clover (Trifolium pratense) are reviewed. These species have relatively small chromosomes and therefore are difficult to exploit for chromosome studies. Nevertheless, the identification of individual chromosomes became feasible, and chromosome maps have been developed applying image analysis and fluorescence in-situ hybridization. For Lotus japonicus, e.g. detailed chromosome maps have been developed using the information of genetic linkage maps. Future prospects of further legume chromosome mapping for breeding and genetic purposes are discussed.

QTL analysis of seed yield components in red clover (Trifolium pratense L.)

Cultivars of red clover (Trifolium pratense L.), an important forage crop in temperate regions, are often characterised by an unsatisfactory level of seed yield, leading to high production costs. This complex trait is influenced by many components and negatively correlated with other important traits, such as forage yield or persistence. Therefore, seed yield has proven to be difficult to improve. Thus, the objectives of this study were to assess association among seed yield components and to provide the basis for identifying molecular markers linked to QTLs for seed yield components to assist breeding for improved red clover cultivars. A total of 42 SSR and 216 AFLP loci were used to construct a molecular linkage map with a total map length of 444.2 cM and an average distance between loci of 1.7 cM. A total of 38 QTLs were identified for eight seed yield components. The traits seed number per plant, seed yield per head, seed number per head, head number per plant and percent seed set were highly correlated with seed yield per plant, and QTLs for several of these traits were often detected in the same genome region. Head number per plant may present a particularly useful character for the improvement of seed yield since it can easily be determined before seed maturity. In addition, two genome regions containing four or five QTLs for different seed yield components, respectively, were identified representing candidate regions for further characterisation of QTLs. This study revealed several key components which may facilitate further improvement of seed yield. The QTLs identified represent an important first step towards marker-assisted breeding in red clover.

Comprehensive Structural Analysis of the Genome of Red Clover (Trifolium pratense L.)

With the aim of establishing the basic knowledge and resources needed for applied genetics, we investigated the genome structure of red clover Trifolium pratense L. by a combination of cytological, genomic and genetic approaches. The deduced genome size was approximately 440 Mb, as estimated by measuring the nuclear DNA content by flow cytometry. Seven chromosomes could be distinguished by microscopic observation of DAPI stained prometaphase chromosomes and fluorescence in situ hybridization using 28S and 5S rDNA probes and bacterial artificial chromosome probes containing microsatellite markers with known positions on a genetic linkage map. The average GC content of the genomes of chloroplast, mitochondrion and nucleus were shown to be 33.8, 42.9 and 34.2%, respectively, by the analysis of 1.4 Mb of random genomic sequences. A total of 26,356 expressed sequence tags (ESTs) that were grouped into 9339 non-redundant sequences were collected, and 78% of the ESTs showed sequence similarity to registered genes, mainly of Arabidopsis thaliana and rice. To facilitate basic and applied genetics in red clover, we generated a high-density genetic linkage map with gene-associated microsatellite markers. A total of 7159 primer pairs were designed to amplify simple sequence repeats (SSRs) identified in four different types of libraries. Based on sequence similarity, 82% of the SSRs were likely to be associated with genes. Polymorphism was examined using two parent plants, HR and R130, and 10 F(1) progeny by agarose gel electrophoresis, followed by genotyping for the primer pairs showing polymorphisms using 188 F(1) plants from the mapping population. The selected 1305 microsatellite markers as well as the previously developed 167 restriction fragment length polymorphism markers were subjected to linkage analysis. A total of 1434 loci detected by 1399 markers were successfully mapped onto seven linkage groups totaling 868.7 cM in length; 405 loci (28%) were bi-parental, 611 (43%) were specific to HR and 418 (29%) were specific to R130. Each genetic linkage group was linked to a corresponding chromosome by FISH analysis using seven microsatellite markers specific to each of the linkage groups as probes. Transferability of the developed microsatellite markers to other germplasms was confirmed by testing 268 selected markers on 88 red clover germplasms. Macrosynteny at the segmental level was observed between the genomes of red clover and two model legumes, Lotus japonicus and Medicago truncatula, strongly suggesting that the genome information for the model legumes is transferable to red clover for genetic investigations and experimental breeding.

A microsatellite map of white clover

The white clover ( Trifolium repens) nuclear genome (n = 2x = 16) is an important yet under-characterised genetic environment. We have developed simple sequence repeat (SSR) genetic markers for the white clover genome by mining an expressed sequence tag (EST) database and by isolation from enriched genomic libraries. A total of 2,086 EST-derived SSRs (EST-SSRs) were identified among 26,480 database accessions. Evaluation of 792 EST-SSR primer pairs resulted in 566 usable EST-SSRs. Of these, 335 polymorphic EST-SSRs, used in concert with 30 genomic SSRs, detected 493 loci in the white clover genome using 92 F1 progeny from a pair cross between two highly heterozygous genotypes--364/7 and 6525/5. Map length, as estimated using the joinmap algorithm, was 1,144 cM and spanned all 16 homologues. The R (red leaf) locus was mapped to linkage group B1 and is tightly linked to the microsatellite locus prs318c. The eight homoeologous pairs of linkage groups within the white clover genome were identified using 96 homoeologous loci. Segregation distortion was detected in four areas (groups A1, D1, D2 and H2). Marker locus density varied among and within linkage groups. This is the first time EST-SSRs have been used to build a whole-genome functional map and to describe subgenome organisation in an allopolyploid species, and T. repens is the only Trifolieae species to date to be mapped exclusively with SSRs. This gene-based microsatellite map will enable the resolution of quantitative traits into Mendelian characters, the characterisation of syntenic relationships with other genomes and acceleration of white clover improvement programmes.

Molecular markers from the transcribed/expressed region of the genome in higher plants

In recent years, molecular marker technology in higher plants has witnessed a shift from the so-called random DNA markers (RDMs), developed in the past arbitrarily from genomic DNA and cDNA, to the molecular markers representing the transcriptome and the other coding sequences. These markers have been described as gene targeted markers (GTMs). Another specific class of markers includes the so-called functional markers (FMs), which are supposed to have a cause and effect relationship with the traits of interest. In this review, we first describe the development of these markers representing the transcriptome or genes per se; we then discuss the uses of these markers in some detail and finally add a note on the future directions of research and the implications of the wider application of these markers in crop improvement programmes. Using suitable examples, we describe markers of different classes derived from cDNA clones, expressed sequence tags (ESTs), gene sequences and the unique (coding) sequences obtained through methyl filtration or genome normalization (high C(0) t fraction) from gDNA libraries. While we briefly describe RFLPs, SSRs, AFLPs and SNPs developed from the transcriptome (cDNA clones and EST databases), we have discussed in more detail some of the novel markers developed from the transcriptome and specific genes. These novel markers include expressed sequence tag polymorphisms (ESTPs), conserved orthologue set (COS) markers, amplified consensus genetic markers (ACGMs), gene specific tags (GSTs), resistance gene analogues (RGAs) and exon-retrotransposon amplification polymorphism (ERAP). Uses of these markers have been discussed in some detail under the following headings: development of transcript and functional maps, estimations of genetic diversity, marker-assisted selection (MAS), candidate-gene (CG) approach and map-based cloning, genetical genomics and identification of eQTLs, study of genome organization and taxonomic and phylogenetic studies. At the end, we also append a list of websites relevant to further studies on the transcriptome. For want of space, considerable information including voluminous data in the form of 12 tables, and a long list of references cited in these tables, has been placed on the Internet as electronic supplementary material (ESM), which the readers may find useful.