A method to measure genetic distance between allogamous populations of alfalfa (Medicago sativa) using RAPD molecular markers

Temperature increase modifies susceptibility to Verticillium wilt in Medicago spp and may contribute to the emergence of more aggressive pathogenic strains

Global warming is expected to have a direct impact on plant disease patterns in agro-eco-systems. However, few analyses report the effect of moderate temperature increase on disease severity due to soil-borne pathogens. For legumes, modifications of root plant-microbe interactions either mutualistic or pathogenic due to climate change may have dramatic effects. We investigated the effect of increasing temperature on the quantitative disease resistance to Verticillium spp., a major soil-borne fungal pathogen, in the model legume Medicago truncatula and the crop M. sativa. First, twelve pathogenic strains isolated from various geographical origin were characterized with regard to their in vitro growth and pathogenicity at 20°C, 25°C and 28°C. Most of them exhibited 25°C as the optimum temperature for in vitro parameters, and between 20°C and 25°C for pathogenicity. Second, a V. alfalfae strain was adapted to the higher temperature by experimental evolution, i.e. three rounds of UV mutagenesis and selection for pathogenicity at 28°C on a susceptible M. truncatula genotype. Inoculation of monospore isolates of these mutants on resistant and susceptible M. truncatula accessions revealed that at 28°C they were all more aggressive than the wild type strain, and that some had acquired the ability to cause disease on resistant genotype. Third, one mutant strain was selected for further studies of the effect of temperature increase on the response of M. truncatula and M. sativa (cultivated alfalfa). The response of seven contrasted M. truncatula genotypes and three alfalfa varieties to root inoculation was followed using disease severity and plant colonization, at 20°C, 25°C and 28°C. With increasing temperature, some lines switched from resistant (no symptoms, no fungus in the tissues) to tolerant (no symptoms but fungal growth into the tissues) phenotypes, or from partially resistant to susceptible. Further studies in greenhouse evidence the reduction in plant fitness due to disease in susceptible lines. We thus report that root pathogenic interactions are affected by anticipated global warming, with trends towards increased plant susceptibility and larger virulence for hot-adapted strains. New threats due to hot-adapted strains of soil-borne pathogens, with possibly wider host range and increased aggressiveness, might occur.

Fingerprint identification of white clover cultivars based on SSR molecular markers

White clover (Trifolium repens L.) is an important perennial legume forage with high productivity and quality. To strengthen the basic research on the genetic characteristics, fingerprint identification and adaptability of white clover germplasm resources, Simple sequence repeat (SSR) molecular markers were applied to 10 white clover cultivars to assess the genetic diversity and related lines of white clover at the molecular level in order to lay a theoretical foundation for the selection of high-quality seeds and cultivars of white clover. A total of 120 different bands were amplified by 29 pairs of SSR primers with good polymorphism, of which 103 (89.5%) were polymorphic. Meanwhile, the PIC of each primer was 0.181-0.588, with an average of 0.329. Analysis of molecular variance revealed that 57% of the genetic variation occurred within cultivars and 43% occurred among cultivars. The results of cluster analysis and the principal coordinate analysis revealed that the parental relationships of the 10 cultivars, with the 'Purple' cultivar very distantly related to the other 9 cultivars and the closest parental relationship between 'Ladino' and 'Sulky'. The fingerprints constructed by three representative primers (gtrs679, gtrs319, and gtrs678) have a strong identification ability. In summary, the SSR markers had good polymorphism and could be used for DNA fingerprint analysis of white clover cultivars.

Exploring the Genetic Divergence in Mungbean (Vigna radiata L.) Germplasm Using Multiple Molecular Marker Systems

Molecular markers are considered powerful tools to identify the potential genetic variation. Forty-two RAPD, ISSR and SSR markers were employed to characterize 21 mungbean genotypes. RAPD primers produced 79 polymorphic bands while ISSR and SSR markers amplified 21 and 6 polymorphic bands, respectively. The range for minimum and maximum number of bands was 3-13, 3-9 and 1-2 and average alleles per loci were 8.17, 4.3 and 1 for RAPD, ISSR and SSR, respectively. Highest polymorphism percentage was 100% for both ISSR and SSR while 80% for RAPD markers. The SSR-VR-303 and ISSR-UBC-810 had highest PIC values (0.44, 0.72) indicating the more discriminating power of these primers for diversity analysis. RAPD primer OPA-7 with maximum PIC value (0.26) resulted in good amplification. Jaccard's similarity coefficient ranged between 0.50 to 1, 0.64 to 1 and 0.75 to 1 for SSR, ISSR and RAPD primers, respectively, indicating less genetic divergence among studied material. Dendrogram based on Unweighted Pair Group Method of Arithmetic Means (UPGMA) grouped mungbean genotypes into two to three major clusters for different marker system with up to 100% genetic relatedness among different cultivars. Molecular genetic divergence identified can be utilized to widen the genetic base in mungbean breeding programs.

Global transcriptome analysis of alfalfa reveals six key biological processes of senescent leaves

Leaf senescence is a complex organized developmental stage limiting the yield of crop plants, and alfalfa is an important forage crop worldwide. However, our understanding of the molecular mechanism of leaf senescence and its influence on biomass in alfalfa is still limited. In this study, RNA sequencing was utilized to identify differentially expressed genes (DEGs) in young, mature, and senescent leaves, and the functions of key genes related to leaf senescence. A total of 163,511 transcripts and 77,901 unigenes were identified from the transcriptome, and 5,133 unigenes were differentially expressed. KEGG enrichment analyses revealed that ribosome and phenylpropanoid biosynthesis pathways, and starch and sucrose metabolism pathways are involved in leaf development and senescence in alfalfa. GO enrichment analyses exhibited that six clusters of DEGs are involved in leaf morphogenesis, leaf development, leaf formation, regulation of leaf development, leaf senescence and negative regulation of the leaf senescence biological process. The WRKY and NAC families of genes mainly consist of transcription factors that are involved in the leaf senescence process. Our results offer a novel interpretation of the molecular mechanisms of leaf senescence in alfalfa.

Genetically Diversity of Pseudomonas aeruginosa Isolated from Chronic Suppurative Otitis Media with Respect to Their Antibiotic Sensitivity Pattern

Pseudomonas aeruginosa is an important chronic suppurative otitis media (CSOM) pathogen that exhibits multiple resistances to antibiotics with increasing frequency, making patient treatment more difficult. The aim of the study is to ascertain the genetically diversity of this clinically isolated P. aeruginosa with inter simple sequence repeat (ISSR) markers. All 25 P. aeruginosa were isolated from CSOM patients by taking their ear swabs and culturing on blood agar and MacConkey agar. All strains were identified with morphological characters and biochemical testing. The antimicrobial susceptibility testing was carried out according to National Committee for Clinical Laboratory Standards. ISSR was used to study the genetic diversity of P. aeruginosa. Clinically CSOM isolated 25 P. aeruginosa were 88% Ciprofloxacin resistant and similarly resistant to other antibiotics were documented. The study has been made using ISSR marker to find out the genomic relation among the strains/populations of P. aeruginosa. The result was shown that maximum similarity (80%) was between S-11 and S-13 and minimum (28.2%) was between S-4 and S-16 with an average similarity of 53.2%. The dendogram showed a distinct separation in between all the strains/populations of P. aeruginosa. The strains/populations were broken up into two main clusters in which small one bear two strains/populations (S-4 and S-9) and another cluster have another 23 strains/populations. These 23 strains were also separated to form subcluster by having different range of small clades. The genetically diversity of pathogenic P. aeruginosa present in CSOM at our hospital indicates the coexistence different strains due to different antibiotic sensitivity patterns. The conventional culture and sensitivity methods are time consuming whereas in PCR, it will detect within 4-6 h for effective antibiotic. Basing upon the banding pattern with ISSR primers, clinicians can prescribe the effective antibiotics accordingly for CSOM patients in the same day.

Genetic variability evaluation and cultivar identification of tetraploid annual ryegrass using SSR markers

Annual ryegrass (Lolium multiflorum) is a widely used cool-season turf and forage grass with high productivity and ornamental characteristics. However, the abundant intra-cultivar genetic variability usually hampers the application of conventional techniques for cultivar identification. The objectives of this study were to: (1) describe an efficient strategy for identification of six tetraploid annual ryegrass cultivars and (2) investigate the genetic diversity based on SSR markers. A total of 242 reliable bands were obtained from 29 SSR primer pairs with an average of 8.3 bands for each primer pair and the average value of polymorphic information content (PIC) was 0.304. The result of analysis of molecular variance (AMOVA) revealed that 81.99% of the genetic variation occurred in within-cultivars and 18.01% among-cultivars. The principal coordinate analysis (PCoA) showed that the first two principal axes explain 8.57% (PC1) and 6.05% (PC2) of total variation, respectively. By using multi-bulk strategy based on different filtering thresholds, the results suggested that bands frequency of 40% could be used as a reliable standard for cultivar identification in annual ryegrass. Under this threshold, 12 SSR primer pairs (00-04A, 02-06G, 02-08C, 03-05A, 04-05B, 10-09E, 12-01A, 13-02H, 13-12D, 14-06F, 15-01C and 17-10D) were detected for direct identification of six tetraploid annual ryegrass cultivars, which could be incorporated into conservation schemes to protect the intellectual property of breeders, ensure purity for consumers, as well as guarantee effective use of cultivars in future.

Genetic variation and relationship of alfalfa populations and their progenies based on RAPD markers

The aim of investigation was to evaluate genetic variation and relationship among alfalfa populations and their offspring, with minimal cost, by using DNA marker analysis. RAPD analysis was performed on bulked DNA samples of five alfalfa parental populations and their progenies: 20 F1 populations from reciprocal diallel crosses and five S1 populations from self-pollination. Twenty primers generated 217 bands, ranging in size from 300 to 6000 bp, with the average number of bands per primer of 10.85 and polymorphism information content of 0.246. Percentage of polymorphic loci, effective number of alleles, expected heterozygosity and Shannon’s information index were used to estimate genetic variation. Higher diversity was observed in F1 progeny populations, while genetic variation in parental populations and S1 progenies remained similar. The genetic relatedness of alfalfa populations was analysed by UPGMA and Bayesian model-based clustering approach. In both types of analysis selfpollinated progenies were grouped. Furthermore, the hybrid offspring where Zuzana, and RSI 20 were maternal parents were placed in separate groups. The results indicate that use of RAPD markers on bulked DNA samples can be fast and cost-effective way for differentiation of alfalfa parental populations and their offspring, as well as for evaluation of their genetic relationships.

MtQRRS1, an R-locus required for Medicago truncatula quantitative resistance to Ralstonia solanacearum

Ralstonia solanacearum is a major soilborne pathogen that attacks > 200 plant species, including major crops. To characterize MtQRRS1, a major quantitative trait locus (QTL) for resistance towards this bacterium in the model legume Medicago truncatula, genetic and functional approaches were combined. QTL analyses together with disease scoring of heterogeneous inbred families were used to define the locus. The candidate region was studied by physical mapping using a bacterial artificial chromosome (BAC) library of the resistant line, and sequencing. In planta bacterial growth measurements, grafting experiments and gene expression analysis were performed to investigate the mechanisms by which this locus confers resistance to R. solanacearum. The MtQRRS1 locus was localized to the same position in two recombinant inbred line populations and was narrowed down to a 64 kb region. Comparison of parental line sequences revealed 15 candidate genes with sequence polymorphisms, but no evidence of differential gene expression upon infection. A role for the hypocotyl in resistance establishment was shown. These data indicate that the quantitative resistance to bacterial wilt conferred by MtQRRS1, which contains a cluster of seven R genes, is shared by different accessions and may act through intralocus interactions to promote resistance.

Estimation of the genetic diversity in tetraploid alfalfa populations based on RAPD markers for breeding purposes

Alfalfa is an autotetraploid, allogamous and heterozygous forage legume, whose varieties are synthetic populations. Due to the complex nature of the species, information about genetic diversity of germplasm used in any alfalfa breeding program is most beneficial. The genetic diversity of five alfalfa varieties, involved in progeny tests at Institute of Field and Vegetable Crops, was characterized based on RAPD markers. A total of 60 primers were screened, out of which 17 were selected for the analysis of genetic diversity. A total of 156 polymorphic bands were generated, with 10.6 bands per primer. Number and percentage of polymorphic loci, effective number of alleles, expected heterozygosity and Shannon’s information index were used to estimate genetic variation. Variety Zuzana had the highest values for all tested parameters, exhibiting the highest level of variation, whereas variety RSI 20 exhibited the lowest. Analysis of molecular variance (AMOVA) showed that 88.39% of the total genetic variation was attributed to intra-varietal variance. The cluster analysis for individual samples and varieties revealed differences in their population structures: variety Zuzana showed a very high level of genetic variation, Banat and Ghareh were divided in subpopulations, while Pecy and RSI 20 were relatively uniform. Ways of exploiting the investigated germplasm in the breeding programs are suggested in this paper, depending on their population structure and diversity. The RAPD analysis shows potential to be applied in analysis of parental populations in semi-hybrid alfalfa breeding program in both, development of new homogenous germplasm, and identification of promising, complementary germplasm.

Genetic relationships among 22 taxa of bamboo revealed by ISSR and EST-based random primers

Genetic relationships among 22 taxa of bamboo were evaluated using 12 inter simple sequence repeats (ISSR) and four expressed sequence tag (EST)-based random primers, resulting in amplification of 220 loci. The grouping of species based on Jaccard's similarity matrix using UPGMA and principal coordinate analysis agreed with earlier published reports on molecular phylogenetic studies in bamboos with few deviations. In the dendrogram, however, species of one genus were placed in different clusters along with members of other genera. This calls for correct taxonomic delineation at the genus and species level using both vegetative and reproductive characters and correlation of molecular data with morphologically definable taxonomic groupings at the proper taxonomic level.

Morphological and microsatellite diversity associated with ecological factors in natural populations of Medicago laciniata Mill. (Fabaceae)

Genetic variability in 10 natural Tunisian populations of Medicago laciniata were analysed using 19 quantitative traits and 12 polymorphic microsatellite loci. A large degree of genetic variability within-populations and among-populations was detected for both quantitative characters and molecular markers. High genetic differentiation among populations for quantitative traits was seen, with Q(ST) = 0.47, and F(ST) = 0.47 for microsatellite markers. Several quantitative traits displayed no statistical difference in the levels of Q(ST) and F(ST). Further, significant correlations between quantitative traits and eco-geographical factors suggest that divergence in the traits among populations may track environmental differences. There was no significant correlation between genetic variability at quantitative traits and microsatellite markers within populations. The site-of-origin of eco-geographical factors explain between 18.13% and 23.40% of genetic variance among populations at quantitative traits and microsatellite markers, respectively. The environmental factors that most influence variation in measured traits among populations are assimilated phosphorus (P(2)0(5)) and mean annual rainfall, followed by climate and soil texture, altitude and organic matter. Significant associations between eco-geographical factors and gene diversity, He, were established in five microsatellite loci suggesting that these simple sequence repeats (SSRs) are not necessarily biologically neutral.

The use of neutral and non-neutral SSRs to analyse the genetic structure of a Tunisian collection of Medicago truncatula lines and to reveal associations with eco-environmental variables

In this study, we investigated the genetic diversity of a collection of 136 Medicago truncatula lines from 10 Tunisian natural populations collected in well-defined locations and in various ecological conditions of soil, salinity and water availability. The genetic diversity was evaluated using a set of 18 microsatellites (SSRs), representing the 8 chromosomes of M. truncatula. A neutrality test showed that 7 SSRs were non-neutral with evidence of balancing selection. The 11 neutral SSRs revealed a geographical pooling with the Tunisian Dorsale axis restricting migration of alleles. The 7 non-neutral alleles demonstrate a correlation with rainfall, altitude and salinity environmental variables suggesting that these SSRs are linked to genes involved in water use efficiency, resistance to salinity or adaptation to altitude, and that there is local adaptation of M. truncatula to these variables. This demonstrates that the choice of so-called neutral markers should be carefully evaluated in population genetic studies. This study illustrates the genetic diversity occurring in natural Tunisian populations of M. truncatula and describes the first collection of this species dedicated to natural variation involved in adaptation to the environment.

Quantitative and molecular genetic variation in sympatric populations ofMedicago laciniataandM. truncatula(Fabaceae): relationships with eco-geographical factors

Medicago laciniatais restricted to south of the Mediterranean basin and it extends in Tunisia from the inferior semi-arid to Saharan stages, whereasM. truncatulais a widespread species in such areas. The genetic variability in four Tunisian sympatric populations ofM. laciniataandM. truncatulawas analysed using 19 quantitative traits and 20 microsatellites. We investigated the amplification transferability of 52 microsatellites developed inM. truncatulatoM. laciniata. Results indicate that about 78·85% of used markers are valuable genetic markers forM. laciniata.M. laciniatadisplayed significantly lower quantitative differentiation among populations (QST=0·12) than didM. truncatula(QST=0·45). However, high molecular differentiations, with no significant difference, were observed inM. laciniata(FST=0·48) andM. truncatula(FST=0·47). Several quantitative traits exhibited significantly smallerQSTthanFSTforM. laciniata, consistent with constraining selection. ForM. truncatula, the majority of traits displayed no statistical difference in the level ofQSTandFST. Furthermore, these traits are significantly associated with eco-geographical factors, consistent with selection for local adaptation rather than genetic drift. In both species, there was no significant correlation between genetic variation at quantitative traits and molecular markers. The site-of-origin explains about 5·85% and 11·27% of total quantitative genetic variability among populations ofM. laciniataandM. truncatula, respectively. Established correlations between quantitative traits and eco-geographical factors were generally more moderate forM. laciniatathan forM. truncatula, suggesting that the two species exhibit different genetic bases of local adaptation to varying environmental conditions. Nevertheless, no consistent patterns of associations were found between gene diversity (He) and environmental factors in either species.

Genetic diversity among alfalfa (Medicago sativa) cultivars coming from a breeding program, using SSR markers

Alfalfa (Medicago sativa) is an autotetraploid, allogamous and heterozygous species whose cultivars are synthetic populations. The breeders apply selection pressure for some agronomic traits within a breeding pool to increase the frequency of favorable individuals. The objective of this study was to investigate the differentiation level among seven cultivars originating from one breeding program, and between these cultivars and the breeding pool, with eight SSR markers. These highly polymorphic and codominant markers, together with recent population genetic statistics extended to autotetraploids, offer tools to analyse genetic diversity in alfalfa. The number of alleles per locus varied between 3 and 24. All loci were at a panmictic equilibrium in the cultivars, except one, probably because of null alleles. With seven SSR loci, each cultivar was at panmictic equilibrium. The mean gene diversity was high, ranging from 0.665 to 0.717 in the cultivars. The parameter F(ST) indicated a low but significant diversity among cultivars. Among 21 pairs of cultivars, 15 were significantly different. The breeding pool also had a high diversity, and was significantly different from each cultivar except the most recent one. Considering the characteristics of the breeding program and the mode of cultivar elaboration, we found that they were unable to generate a large variety differentiation. Estimation of population genetics parameters at SSR loci can be applied for assessing the differences between cultivars or populations, either for variety distinction or the management of genetic resources.

Analysis of genetic diversity in red clover (Trifolium pratense L.) breeding populations as revealed by RAPD genetic markers

Red clover is an important forage legume species for temperate regions and very little is known about the genetic organization of its breeding populations. We used random amplified polymorphic DNA (RAPD) genetic markers to address the genetic diversity and the distribution of variation in 20 breeding populations and cultivars from Chile, Argentina, Uruguay, and Switzerland. Genetic distances were calculated for all possible pairwise combinations. A high level of polymorphism was found and the proportion of polymorphic loci across populations was 74.2%. A population derived from a non-certified seedlot displayed a higher proportion of polymorphic loci than its respective certified seedlot. Gene diversity values and population genetics parameters suggest that the populations analyzed are diverse. An analysis of molecular variance (AMOVA) revealed that the largest proportion of variation (80.4%) resides at the within population level. RAPD markers are a useful tool for red clover breeding programs. A dendrogram based on genetic distances divided the breeding populations analyzed into three distinct groups. The amount and partition of diversity observed can be of value in identifying the populations that parents of synthetic cultivars are derived from and to exploit the variation available in the populations analyzed.

AFLP-based assessment of genetic diversity among nine alfalfa germplasms using bulk DNA templates

Improving commercial utilization of perennial Medicago collections requires developing approaches that can rapidly and accurately characterize genetic diversity among large numbers of populations. This study evaluated the potential of using amplified fragment length polymorphism (AFLP) DNA markers, in combination with DNA bulking over multiple genotypes, as a strategy for high-throughput characterization of genetic distances (D) among alfalfa (Medicago sativa L.) accessions. Bulked DNA templates from 30 genotypes within each of nine well-recognized germplasms (African, Chilean, Flemish, Indian, Ladak, Medicago sativa subsp. falcata, Medicago sativa subsp. varia, Peruvian, and Turkistan) were evaluated using 34 primer combinations. A total of 3754 fragments were identified, of which 1541 were polymorphic. The number of polymorphic fragments detected per primer combination ranged from 20 to 85. Pairwise D estimates among the nine germplasms ranged from 0.52 to 1.46 with M. sativa subsp. falcata being the most genetically dissimilar. Unweighted pair-group method arithmetic average (UPGMA) analysis of the marker data produced two main clusters, (i) M. sativa subsp. sativa and M. sativa subsp. varia, and (ii) M. sativa subsp. falcata. Cluster-analysis results and D estimates among the Chilean, Peruvian, Flemish, and M. sativa subsp. varia germplasms supported the hypothesis that Peruvian was more similar to original Spanish introductions into Central and South America than Chilean. Hierarchical arrangement of the nine germplasms was supported by their respective geographic, subspecific, and intersubspecific hybrid origins. Subsets of as few as seven highly informative primer pairs were identified that produced comparable D estimates and similar heirarchical arrangements compared with the complete dataset. The results indicate that use of primer-pair subsets for AFLP analysis of bulk DNA templates could serve as a high-throughput system for accurately characterizing genetic diversity among large numbers of alfalfa populations.

Genetic and cytogenetic mapping of DMI1, DMI2, and DMI3 genes of Medicago truncatula involved in Nod factor transduction, nodulation, and mycorrhization

The DMI1, DMI2, and DMI3 genes of Medicago truncatula, which are required for both nodulation and mycorrhization, control early steps of Nod factor signal transduction. Here, we have used diverse approaches to pave the way for the map-based cloning of these genes. Molecular amplification fragment length polymorphism markers linked to the three genes were identified by bulked segregant analysis. Integration of these markers into the general genetic map of M. truncatula revealed that DMI1, DMI2, and DMI3 are located on linkage groups 2, 5, and 8, respectively. Cytogenetic studies using fluorescent in situ hybridization (FISH) on mitotic and pachytene chromosomes confirmed the location of DMI1, DMI2, and DMI3 on chromosomes 2, 5, and 8. FISH-pachytene studies revealed that the three genes are in euchromatic regions of the genome, with a ratio of genetic to cytogenetic distances between 0.8 and 1.6 cM per microm in the DMI1, DMI2, and DMI3 regions. Through grafting experiments, we showed that the genetic control of the dmi1, dmi2, and dmi3 nodulation phenotypes is determined at the root level. This means that mutants can be transformed by Agrobacterium rhizogenes to accelerate the complementation step of map-based cloning projects for DMI1, DMI2, and DMI3.

The molecular genetic linkage map of the model legume Medicago truncatula: an essential tool for comparative legume genomics and the isolation of agronomically important genes

BACKGROUND

The legume Medicago truncatula has emerged as a model plant for the molecular and genetic dissection of various plant processes involved in rhizobial, mycorrhizal and pathogenic plant-microbe interactions. Aiming to develop essential tools for such genetic approaches, we have established the first genetic map of this species. Two parental homozygous lines were selected from the cultivar Jemalong and from the Algerian natural population (DZA315) on the basis of their molecular and phenotypic polymorphism.

RESULTS

An F2 segregating population of 124 individuals between these two lines was obtained using an efficient manual crossing technique established for M. truncatula and was used to construct a genetic map. This map spans 1225 cM (average 470 kb/cM) and comprises 289 markers including RAPD, AFLP, known genes and isoenzymes arranged in 8 linkage groups (2n = 16). Markers are uniformly distributed throughout the map and segregation distortion is limited to only 3 linkage groups. By mapping a number of common markers, the eight linkage groups are shown to be homologous to those of diploid alfalfa (M. sativa), implying a good level of macrosynteny between the two genomes. Using this M. truncatula map and the derived F3 populations, we were able to map the Mtsym6 symbiotic gene on linkage group 8 and the SPC gene, responsible for the direction of pod coiling, on linkage group 7.

CONCLUSIONS

These results demonstrate that Medicago truncatula is amenable to diploid genetic analysis and they open the way to map-based cloning of symbiotic or other agronomically-important genes using this model plant.