Functional allele of a MATE gene selected during domestication modulates seed color in chickpea

Seed color is one of the key target traits of domestication and artificial selection in chickpeas due to its implications on consumer preference and market value. The complex seed color trait has been well dissected in several crop species; however, the genetic mechanism underlying seed color variation in chickpea remains poorly understood. Here, we employed an integrated genomics strategy involving QTL mapping, high-density mapping, map-based cloning, association analysis, and molecular haplotyping in an inter-specific RIL mapping population, association panel, wild accessions, and introgression lines (ILs) of Cicer gene pool. This delineated a MATE gene, CaMATE23, encoding a Transparent Testa (TT) and its natural allele (8-bp insertion) and haplotype underlying a major QTL governing seed color on chickpea chromosome 4. Signatures of selective sweep and a strong purifying selection reflected that CaMATE23, especially its 8-bp insertion natural allelic variant, underwent selection during chickpea domestication. Functional investigations revealed that the 8-bp insertion containing the third cis-regulatory RY-motif element in the CaMATE23 promoter is critical for enhanced binding of CaFUSCA3 transcription factor, a key regulator of seed development and flavonoid biosynthesis, thereby affecting CaMATE23 expression and proanthocyanidin (PA) accumulation in the seed coat to impart varied seed color in chickpea. Consequently, overexpression of CaMATE23 in Arabidopsis tt12 mutant partially restored the seed color phenotype to brown pigmentation, ascertaining its functional role in PA accumulation in the seed coat. These findings shed new light on the seed color regulation and evolutionary history, and highlight the transcriptional regulation of CaMATE23 by CaFUSCA3 in modulating seed color in chickpea. The functionally relevant InDel variation, natural allele, and haplotype from CaMATE23 are vital for translational genomic research, including marker-assisted breeding, for developing chickpea cultivars with desirable seed color that appeal to consumers and meet global market demand.

SSR Genotyping and Marker-Trait Association with Yield Components in a Kazakh Germplasm Collection of Chickpea (Cicer arietinum L.)

Genetic diversity and marker-trait association with yield-related components were assessed in 39 chickpea accessions from a germplasm collection with either spring or autumn-sown seeds in South-Eastern Kazakhstan. Chickpea accessions originated from Azerbaijan, Germany, Kazakhstan, Moldova, Russia, Türkiye, Ukraine, Syria, and the International Center for Agricultural Research in the Dry Areas (ICARDA). Eleven SSR markers were used for molecular genotyping. Yield and yield components were evaluated in nine traits in experiments with spring and autumn seed sowing. The number of alleles of polymorphic markers varied from 2 to 11. The greatest polymorphism was found in the studied chickpea genotypes using SSR marker TA22 (11 alleles), while NCPGR6 and NCPGR12 markers were monomorphic. In the studied chickpea accessions, unique alleles of the SSR loci TA14, TA46, TA76s, and TA142 were found that were not previously described by other authors. An analysis of correlation relationships between yield-related traits in chickpea revealed the dependence of yield on plant height, branching, and the setting of a large number of beans. These traits showed maximal values in experiments with chickpea plants from autumn seed sowing. An analysis of the relationship between the SSR markers applied and morphological yield-related traits revealed several informative markers associated with important traits, such as plant height, height to first pod, number of branches, number of productive nodes, number of pods per plant, hundred seed weight, seed weight per plant, and seed yield.

Marker trait association for biological nitrogen fixation traits in an interspecific cross of chickpea (Cicer arietinum × Cicer reticulatum)

A set of 165 Recombinant inbred lines (RILs) derived from an interspecific cross of chickpea was used to identify QTLs for key biological nitrogen fixation (BNF) traits. The phenotyping of BNF and related traits was done at two different agroclimatic zones viz., Central plain zone (Ludhiana) and Sub-Mountainous undulating zone (Gurdaspur) for 2 consecutive rabi seasons (2018-2020). Wild parent C. reticulatum ILWC292 showed significantly high performance in terms of biological nitrogen fixation (BNF) traits over the cultivated C. arietinum GPF-2. The triple interaction of genotypes × locations × years was significant (p 0.05) for all BNF traits in parental lines. Highly significant positive correlation was obtained between grain yield and key growth and symbiotic parameters at both the sites. Phenotypic analysis revealed nodule dry weight and leghaemoglobin content as key traits for BNF efficiency and contrasting DNA bulks were constituted on the basis of these traits. Out of 535 SSR markers, 139 exhibited polymorphism between the parental lines on polyacrylamide gel electrophoresis. A total of 30 SSR markers showed polymorphism between the higher and lower bulks for nodule dry weight and leghaemoglobin content. Out of these, 20 SSRs did not show any segregation distortion in RIL population as determined by chi square analysis (p < 0.05) and were used for quantitative trait loci (QTL) analysis. Using QTL cartographer, markers- CAGM02697, CAGM09835, CAGM09777, CAGM09227, CAGM09021, CAGM08679 were found linked with QTLs for BNF. These markers can be validated further for identification of genes for BNF traits and marker assisted selection in chickpea. To the best of our knowledge this is the first report on identification of genomic regions associated with key BNF traits in chickpea across different agro-climatic zones.

Supplementary information

The online version contains supplementary material available at 10.1007/s12298-023-01335-3.

Genetic variability and population structure of Ethiopian chickpea (Cicer arietinum L.) germplasm

Evaluation of the genetic diversity and an understanding of the genetic structure and relationships of chickpea genotypes are valuable to design efficient germplasm conservation strategies and crop breeding programs. Information is limited, in these regards, for Ethiopian chickpea germplasms. Therefore, the present study was carried out to estimate the genetic diversity, population structure, and relationships of 152 chickpea genotypes using simple sequence repeats (SSR) markers. Twenty three SSR markers exhibited polymorphism producing a total of 133 alleles, with a mean of 5.8 alleles per locus. Analyses utilizing various genetic-based statistics included pairwise population Nei’s genetic distance, heterozygosity, Shannon’s information index, polymorphic information content, and percent polymorphism. These analyses exemplified the existence of high genetic variation within and among chickpea genotypes. The 152 genotypes were divided into two major clusters based on Nei’s genetic distances. The exotic genotypes were grouped in one cluster exclusively showing that these genotypes are distinct to Ethiopian genotypes, while the patterns of clustering of Ethiopian chickpea genotypes based on their geographic region were not consistent because of the seed exchange across regions. Model-based population structure clustering identified two discrete populations. These finding provides useful insight for chickpea collections and ex-situ conservation and national breeding programs for widening the genetic base of chickpea.

Unraveling genetics of semi-determinacy and identification of markers for indeterminate stem growth habit in chickpea (Cicer arietinum L.)

Chickpea (Cicer arietinum L.) is predominantly an indeterminate plant and tends to generate vegetative growth when the ambient is conducive for soil moisture, temperature and certain other environmental conditions. The semi-determinate (SDT) types are comparatively early, resistant to lodging and found to be similar in their yield potential to indeterminate (IDT) lines. Indeterminate and semi-determinate genotypes are found to be similar during early stage, which makes it difficult to distinguish between them. Thus, there is a need to identify molecular markers linked either to indeterminate or semi-determinate plant types. The present study was carried out to study the genetics of semi-determinacy and identify molecular markers linked to stem growth habit. The study was undertaken in the cross involving BG 362(IDT) × BG 3078-1(SDT). All F₁ plants were indeterminate, which indicates that indeterminate stem type is dominant over semi-determinate. In further advancement to F₂ generation, F₂ plants are segregated in the ratio of 3(Indeterminate): 1(Semi-determinate) that indicates that the IDT and SDT parents which are involved in the cross differed for a single gene. The segregation pattern observed in F₂ is confirmed in F₃ generation. The parental polymorphic survey was undertaken for molecular analysis using total of 245 SSR markers, out of which 41 polymorphic markers were found to distinguish the parents and were utilized for bulked segregant analysis (BSA). The segregation pattern in F₂ indicates that the IDT (Indeterminate) and SDT (Semi-determinate) parents which are involved in the cross differed for single gene. The segregation pattern of F₂ and F₃ derived from the cross BG 362 (IDT) × BG 3078-1 (SDT) confirmed the genotypic structure of the newly found SDT genotype BG 3078-1 as dt1dt1Dt2Dt2. Three SSR markers TA42, Ca_GPSSR00560 and H3DO5 were found to be putatively linked to Dt1 locus regulating IDT stem growth habit. Our results indicate that the SSR markers identified for Dt1 locus helps to differentiate stem growth habit of chickpea in its early growth stage itself and can be efficiently utilized in Marker Assisted Selection (MAS) for changed plant type in chickpea.

Updates on Genomic Resources in Chickpea for Crop Improvement

In recent years, rapid advancement has been done in generation of genomic resources for the important legume crop chickpea. Here, we provide an update on important advancements made on availability of genomic resources for this crop. The availability of reference genome and transcriptome sequences, and resequencing of several accessions have enabled the discovery of gene space and molecular markers in chickpea. These resources have helped in elucidating evolutionary relationship and identification of quantitative trait loci for important agronomic traits. Gene expression in different tissues/organs during development and under abiotic/biotic stresses has been interrogated. In addition, single-base resolution DNA methylation patterns in different organs have been analyzed to understand gene regulation. Overall, we provide a consolidated overview of available genomic resources of chickpea that may help in fulfilling the promises for improvement of this important crop.

Easy strategy used to detect the genetic variability in chickpea (Cicer arietinum L.)

A priority in the management and use of elite plant materials for breeding has been based on molecular markers or DNA sequencing of entire genomes, in order to perform genetic differentiation which is still quite costly. Chickpea (Cicer arietinum) is one of the species with genomic monotony and very low polymorphism, and its detection even with DNA markers has not been easy. In germplasm banks, the genetic distinction is a priority in order to use properly selected lines. In this study, 57 chickpea accessions from a germplasm bank were analyzed by using nrRAMP (non-radioactive Random Amplified Microsatellite Polymorphism) markers, and their genetic variability was determined. Our results showed DNA polymorphisms, which are enough to differentiate between the accessions and between C. arietinum and Cicer reticulatum (out-group); this last wild species is closely related to chickpea. We concluded that the nrRAMP technique was an effective and a highly useful method to assess the genetic diversity and variability among closely related plants, such as chickpea; in addition, this technique can be easily implemented in laboratories.

Population structure and association analysis of heat stress relevant traits in chickpea (Cicer arietinum L.)

Understanding genetic diversity and population structure is prerequisite to broaden the cultivated base of any crop. In the current investigation, we report discovery of a total of 319 alleles by assaying 81 SSRs on 71 chickpea genotypes. The cluster analysis based on Jaccard coefficient and unweighted neighbor joining algorithm categorized all genotypes into two major clusters. Cultivars grown within the same agro-climatic zones were clustered together, whereas the remaining genotypes particularly advanced breeding lines and accessions assigned to another cluster. Population structure analysis separated the entire collection into two subpopulations (K = 2) and the clustering pattern remained in close agreement with those of distance-based methods. Importantly, we also discovered marker trait association for membrane stability index (MSI) and leaf chlorophyll content measured as SPAD chlorophyll meter reading (SCMR), the two important physiological parameters indicative of heat stress (HS) tolerance in chickpea. Association analysis using both general linear and mixed linear models of the mean phenotypic data of traits recorded in 2016 and 2017 uncovered significant association of NCPGR206 and H2L102 with the MSI trait. Likewise, SSR markers GA9, TR31 and TA113 exhibited significant association with SCMR trait. The genomic regions putatively linked with two traits may be investigated in greater detail to further improve knowledge about the genetic architecture of HS tolerance in chickpea.

Population structure and association analysis of heat stress relevant traits in chickpea (Cicer arietinum L.)

Understanding genetic diversity and population structure is prerequisite to broaden the cultivated base of any crop. In the current investigation, we report discovery of a total of 319 alleles by assaying 81 SSRs on 71 chickpea genotypes. The cluster analysis based on Jaccard coefficient and unweighted neighbor joining algorithm categorized all genotypes into two major clusters. Cultivars grown within the same agro-climatic zones were clustered together, whereas the remaining genotypes particularly advanced breeding lines and accessions assigned to another cluster. Population structure analysis separated the entire collection into two subpopulations (K = 2) and the clustering pattern remained in close agreement with those of distance-based methods. Importantly, we also discovered marker trait association for membrane stability index (MSI) and leaf chlorophyll content measured as SPAD chlorophyll meter reading (SCMR), the two important physiological parameters indicative of heat stress (HS) tolerance in chickpea. Association analysis using both general linear and mixed linear models of the mean phenotypic data of traits recorded in 2016 and 2017 uncovered significant association of NCPGR206 and H2L102 with the MSI trait. Likewise, SSR markers GA9, TR31 and TA113 exhibited significant association with SCMR trait. The genomic regions putatively linked with two traits may be investigated in greater detail to further improve knowledge about the genetic architecture of HS tolerance in chickpea.

Genetic variation of a global germplasm collection of chickpea (Cicer arietinum L.) including Italian accessions at risk of genetic erosion

Chickpea (Cicer arietinum L.) is one of the most important legumes worldwide. We addressed this study to the genetic characterization of a germplasm collection from main chickpea growing countries. Several Italian traditional landraces at risk of genetic erosion were included in the analysis. Twenty-two simple sequence repeat (SSR) markers, widely used to explore genetic variation in plants, were selected and yielded 218 different alleles. Structure analysis and hierarchical clustering indicated that a model with three distinct subpopulations best fits the data. The composition of two subpopulations, named K1 and K2, broadly reflects the commercial classification of chickpea in the two types desi and kabuli, respectively. The third subpopulation (K3) is composed by both desi and kabuli genotypes. Italian accessions group both in K2 and K3. Interestingly, this study highlights genetic distance between desi genotypes cultivated in Asia and Ethiopia, which respectively represent the chickpea primary and the secondary centres of diversity. Moreover, European desi are closer to the Ethiopian gene pool. Overall, this study will be of importance for chickpea conservation genetics and breeding, which is limited by the poor characterization of germplasm collection.

An advanced draft genome assembly of a desi type chickpea (Cicer arietinum L.)

Chickpea (Cicer arietinum L.) is an important pulse legume crop. We previously reported a draft genome assembly of the desi chickpea cultivar ICC 4958. Here we report an advanced version of the ICC 4958 genome assembly (version 2.0) generated using additional sequence data and an improved genetic map. This resulted in 2.7-fold increase in the length of the pseudomolecules and substantial reduction of sequence gaps. The genome assembly covered more than 94% of the estimated gene space and predicted the presence of 30,257 protein-coding genes including 2230 and 133 genes encoding potential transcription factors (TF) and resistance gene homologs, respectively. Gene expression analysis identified several TF and chickpea-specific genes with tissue-specific expression and displayed functional diversification of the paralogous genes. Pairwise comparison of pseudomolecules in the desi (ICC 4958) and the earlier reported kabuli (CDC Frontier) chickpea assemblies showed an extensive local collinearity with incongruity in the placement of large sequence blocks along the linkage groups, apparently due to use of different genetic maps. Single nucleotide polymorphism (SNP)-based mining of intra-specific polymorphism identified more than four thousand SNPs differentiating a desi group and a kabuli group of chickpea genotypes.

A Pseudomonas syringae diversity survey reveals a differentiated phylotype of the pathovar syringae associated with the mango host and mangotoxin production

Pseudomonas syringae pv. syringae, the causal agent of bacterial apical necrosis (BAN) in mango crops, has been isolated in different mango-producing areas worldwide. An extensive collection of 87 P. syringae pv. syringae strains isolated from mango trees affected by BAN from different countries, but mainly from Southern Spain, were initially examined by repetitive sequence-based polymerase chain reaction (rep-PCR) to analyze the genetic diversity with an epidemiological aim. rep-PCR was powerful in assessing intrapathovar distribution and also allowing clustering of the P. syringae pv. syringae strains isolated from mango, depending on the isolation area. A clear pattern of clustering was observed for all the P. syringae pv. syringae strains isolated from mango distinct from strains from other hosts, including strains for the same geographical regions as the mango isolates. For this reason, a representative group of 51 P. syringae pv. syringae strains isolated from mango and other hosts, as well as some P. syringae strains from other pathovars, were further characterized to determine their possible genetic, phenotypic, and phylogenetic relationships. Similar to the rep-PCR results, the randomly amplified polymorphic DNA PCR (RAPD-PCR) and catabolic diversity analysis using the Biolog GN2 profile grouped 90% of the mango isolates together in a unique cluster. Interestingly, the majority of P. syringae pv. syringae strains isolated from mango produced mangotoxin. The analysis of the phylogenetic distribution using the multilocus sequence typing analysis strongly supports the existence of a differentiated phylotype of the pathovar syringae mainly associated with the mango host and characterized by the mangotoxin production.

Large-scale transcriptome analysis in chickpea (Cicer arietinum L.), an orphan legume crop of the semi-arid tropics of Asia and Africa

Chickpea (Cicer arietinum L.) is an important legume crop in the semi-arid regions of Asia and Africa. Gains in crop productivity have been low however, particularly because of biotic and abiotic stresses. To help enhance crop productivity using molecular breeding techniques, next generation sequencing technologies such as Roche/454 and Illumina/Solexa were used to determine the sequence of most gene transcripts and to identify drought-responsive genes and gene-based molecular markers. A total of 103,215 tentative unique sequences (TUSs) have been produced from 435,018 Roche/454 reads and 21,491 Sanger expressed sequence tags (ESTs). Putative functions were determined for 49,437 (47.8%) of the TUSs, and gene ontology assignments were determined for 20,634 (41.7%) of the TUSs. Comparison of the chickpea TUSs with the Medicago truncatula genome assembly (Mt 3.5.1 build) resulted in 42,141 aligned TUSs with putative gene structures (including 39,281 predicted intron/splice junctions). Alignment of ∼37 million Illumina/Solexa tags generated from drought-challenged root tissues of two chickpea genotypes against the TUSs identified 44,639 differentially expressed TUSs. The TUSs were also used to identify a diverse set of markers, including 728 simple sequence repeats (SSRs), 495 single nucleotide polymorphisms (SNPs), 387 conserved orthologous sequence (COS) markers, and 2088 intron-spanning region (ISR) markers. This resource will be useful for basic and applied research for genome analysis and crop improvement in chickpea.

Gene discovery and tissue-specific transcriptome analysis in chickpea with massively parallel pyrosequencing and web resource development

Chickpea (Cicer arietinum) is an important food legume crop but lags in the availability of genomic resources. In this study, we have generated about 2 million high-quality sequences of average length of 372 bp using pyrosequencing technology. The optimization of de novo assembly clearly indicated that hybrid assembly of long-read and short-read primary assemblies gave better results. The hybrid assembly generated a set of 34,760 transcripts with an average length of 1,020 bp representing about 4.8% (35.5 Mb) of the total chickpea genome. We identified more than 4,000 simple sequence repeats, which can be developed as functional molecular markers in chickpea. Putative function and Gene Ontology terms were assigned to at least 73.2% and 71.0% of chickpea transcripts, respectively. We have also identified several chickpea transcripts that showed tissue-specific expression and validated the results using real-time polymerase chain reaction analysis. Based on sequence comparison with other species within the plant kingdom, we identified two sets of lineage-specific genes, including those conserved in the Fabaceae family (legume specific) and those lacking significant similarity with any non chickpea species (chickpea specific). Finally, we have developed a Web resource, Chickpea Transcriptome Database, which provides public access to the data and results reported in this study. The strategy for optimization of de novo assembly presented here may further facilitate the transcriptome sequencing and characterization in other organisms. Most importantly, the data and results reported in this study will help to accelerate research in various areas of genomics and implementing breeding programs in chickpea.

Advancing the STMS genomic resources for defining new locations on the intraspecific genetic linkage map of chickpea (Cicer arietinum L.)

Background

Chickpea (Cicer arietinum L.) is an economically important cool season grain legume crop that is valued for its nutritive seeds having high protein content. However, several biotic and abiotic stresses and the low genetic variability in the chickpea genome have continuously hindered the chickpea molecular breeding programs. STMS (Sequence Tagged Microsatellite Sites) markers which are preferred for the construction of saturated linkage maps in several crop species, have also emerged as the most efficient and reliable source for detecting allelic diversity in chickpea. However, the number of STMS markers reported in chickpea is still limited and moreover exhibit low rates of both inter and intraspecific polymorphism, thereby limiting the positions of the SSR markers especially on the intraspecific linkage maps of chickpea. Hence, this study was undertaken with the aim of developing additional STMS markers and utilizing them for advancing the genetic linkage map of chickpea which would have applications in QTL identification, MAS and for de novo assembly of high throughput whole genome sequence data.

Results

A microsatellite enriched library of chickpea (enriched for (GT/CA)_n and (GA/CT)_n repeats) was constructed from which 387 putative microsatellite containing clones were identified. From these, 254 STMS primers were designed of which 181 were developed as functional markers. An intraspecific mapping population of chickpea, [ICCV-2 (single podded) × JG-62 (double podded)] and comprising of 126 RILs, was genotyped for mapping. Of the 522 chickpea STMS markers (including the double-podding trait, screened for parental polymorphism, 226 (43.3%) were polymorphic in the parents and were used to genotype the RILs. At a LOD score of 3.5, eight linkage groups defining the position of 138 markers were obtained that spanned 630.9 cM with an average marker density of 4.57 cM. Further, based on the common loci present between the current map and the previously published chickpea intraspecific map, integration of maps was performed which revealed improvement of marker density and saturation of the region in the vicinity of sfl (double-podding) gene thereby bringing about an advancement of the current map.

Conclusion

An arsenal of 181 new chickpea STMS markers was reported. The developed intraspecific linkage map defined map positions of 138 markers which included 101 new locations.Map integration with a previously published map was carried out which revealed an advanced map with improved density. This study is a major contribution towards providing advanced genomic resources which will facilitate chickpea geneticists and molecular breeders in developing superior genotypes with improved traits.

Integration of novel SSR and gene-based SNP marker loci in the chickpea genetic map and establishment of new anchor points with Medicago truncatula genome

This study presents the development and mapping of simple sequence repeat (SSR) and single nucleotide polymorphism (SNP) markers in chickpea. The mapping population is based on an inter-specific cross between domesticated and non-domesticated genotypes of chickpea (Cicer arietinum ICC 4958 x C. reticulatum PI 489777). This same population has been the focus of previous studies, permitting integration of new and legacy genetic markers into a single genetic map. We report a set of 311 novel SSR markers (designated ICCM-ICRISAT chickpea microsatellite), obtained from an SSR-enriched genomic library of ICC 4958. Screening of these SSR markers on a diverse panel of 48 chickpea accessions provided 147 polymorphic markers with 2-21 alleles and polymorphic information content value 0.04-0.92. Fifty-two of these markers were polymorphic between parental genotypes of the inter-specific population. We also analyzed 233 previously published (H-series) SSR markers that provided another set of 52 polymorphic markers. An additional 71 gene-based SNP markers were developed from transcript sequences that are highly conserved between chickpea and its near relative Medicago truncatula. By using these three approaches, 175 new marker loci along with 407 previously reported marker loci were integrated to yield an improved genetic map of chickpea. The integrated map contains 521 loci organized into eight linkage groups that span 2,602 cM, with an average inter-marker distance of 4.99 cM. Gene-based markers provide anchor points for comparing the genomes of Medicago and chickpea, and reveal extended synteny between these two species. The combined set of genetic markers and their integration into an improved genetic map should facilitate chickpea genetics and breeding, as well as translational studies between chickpea and Medicago.

Development of chickpea EST-SSR markers and analysis of allelic variation across related species

Despite chickpea being the third important grain legume, there is a limited availability of genomic resources, especially of the expressed sequence tag (EST)-based markers. In this study, we generated 822 chickpea ESTs from immature seeds as well as exploited 1,309 ESTs from the chickpea database, thus utilizing a total of 2,131 EST sequences for development of functional EST-SSR markers. Two hundred and forty-six simple sequence repeat (SSR) motifs were identified from which 183 primer pairs were designed and 60 validated as functional markers. Genetic diversity analysis across 30 chickpea accessions revealed ten markers to be polymorphic producing a total of 29 alleles and an observed heterozygosity average of 0.16 thereby exhibiting low levels of intra-specific polymorphism. However, the markers exhibited high cross-species transferability ranging from 68.3 to 96.6% across the six annual Cicer species and from 29.4 to 61.7% across the seven legume genera. Sequence analysis of size variant amplicons from various species revealed that size polymorphism was due to multiple events such as copy number variation, point mutations and insertions/deletions in the microsatellite repeat as well as in the flanking regions. Interestingly, a wide prevalence of crossability-group-specific sequence variations were observed among Cicer species that were phylogenetically informative. The neighbor joining dendrogram clearly separated the chickpea cultivars from the wild Cicer and validated the proximity of C. judaicum with C. pinnatifidum. Hence, this study for the first time provides an insight into the distribution of SSRs in the chickpea transcribed regions and also demonstrates the development and utilization of genic-SSRs. In addition to proving their suitability for genetic diversity analysis, their high rates of transferability also proved their potential for comparative genomic studies and for following gene introgressions and evolution in wild species, which constitute the valuable secondary genepool in chickpea.

Characterization of AT-rich microsatellites in common bean (Phaseolus vulgaris L.)

Polymorphism of microsatellite markers is often associated with the simple sequence repeat motif targeted. AT-rich microsatellites tend to be highly variable and this appears to be notable, especially in legume genomes. To analyze the value of AT-rich microsatellites for common bean (Phaseolus vulgaris L.), we developed a total of 85 new microsatellite markers, 74 of which targeted ATA or other AT-rich motif loci and 11 of which were made for GA, CA or CAC motif loci. We evaluated the loci for the level of allelic diversity in comparison to previously characterized microsatellites using a panel of 18 standard genotypes and genetically mapped any loci polymorphic in the DOR364 x G19833 population. The majority of the microsatellites produced single bands and detected single loci, however, 15 of the AT-rich microsatellites produced multiple or double banding patterns; while only one of the GA or CA-rich microsatellites did. The polymorphism information content (PIC) values averaged 0.892 and 0.600 for the AT and ATA motif microsatellites, respectively, but only 0.140 for the CA-rich microsatellites. GA microsatellites, which had a large average number of repeats, had high to intermediate PIC, averaging 0.706. A total of 45 loci could be genetically mapped and distribution of the loci across the genome was skewed towards non-distal locations with a greater prevalence of loci on linkage groups b02, b09 and b11. AT-rich microsatellites were found to be a useful source of polymorphic markers for mapping and diversity assessment in common bean that appears to uncover higher diversity than other types of simple sequence repeat markers.

Genotyping elite genotypes within the Australian lentil breeding program with lentil-specific sequenced tagged microsatellite site (STMS) markers

Lentil (Lens culinaris ssp. culinaris) is consumed in many countries as a rich source of protein in largely vegetarian diets. Australia grows lentil as a cash crop in rotation with cereal and produces predominantly red lentils that are exported throughout the world, particularly to countries in South Asia and the Middle East. Differentiation of varieties is important when exporting products to such markets, maintaining variety purity during seed production and in the collection of end-point royalties. Lentil-specific and fluorescent sequenced tagged microsatellite markers (STMS) markers were used to construct a DNA fingerprint database for 10 Lens culinaris ssp. culinaris genotypes (Northfield, Digger, ILL7537, Nugget, Indianhead, ILL2024, ILL6788, Palouse, Nipper and Boomer) that represent major new cultivars and key breeding lines within the Australian breeding program. All 10 lentil genotypes were distinguished using the assessed STMS loci. Unique alleles were observed for several lines, including Boomer and Nipper, varieties recently released in Australia. This database will play an important role in seed typing for commercial export certification and the commercial management of cultivars.

Polyglutamine expansion in Drosophila: thermal stress and Hsp70 as selective agents

Repetitive DNA sequences that encode polyglutamine tracts are prone to expansion and cause highly deleterious phenotypes of neurodegeneration. Despite this tendency,polyglutamine tracts ("polyQs") are conserved features of eukaryotic genomes. PolyQs are the most frequent protein-coding homotypic repeat in insect genomes, and are found predominantly in genes encoding transcription factors conserved from Drosophila through human. Although highly conserved across species, polyQ lengths vary widely within species. In D. melanogaster, polyQs in 25 genes have more alleles and higher heterozygosity than all other poly-amino acid tracts. The heat shock protein Hsp70 is a principal suppressor of polyQ expansions and may play a key role in modulating the phenotypes of the alleles that encode them. Hsp70 also promotes tolerance of natural thermal stress in Drosophila and diverse organisms,a role which may deplete the chaperone from buffering against polyQ toxicity. Thus in stressful environments, natural selection against long polyQ alleles more prone to expansion and deleterious phenotypes may be more effective. This hypothesis can be tested by measuring the phenotypic interactions between Hsp70 and polyQ transgenes in D. melanogaster undergoing natural thermal stress, an approach which integrates comparative genomics with experimental and ecological genetics.

Development of an integrated intraspecific map of chickpea (Cicer arietinum L.) using two recombinant inbred line populations

A composite intraspecific linkage map of chickpea was developed by integrating individual maps developed from two F(8:9) RIL populations with one common parent. Different molecular markers viz. RAPD, ISSR, RGA, SSR and ASAP were analyzed along with three yield related traits: double podding, seeds per pod and seed weight. A total of 273 markers and 186 RILs were used to generate the map with eight linkage groups at a LOD score of >/=3.0 and maximum recombination fraction of 0.4. The map spanned 739.6 cM with 230 markers at an average distance of 3.2 cM between markers. The predominantly used SSR markers facilitated identification of homologous linkage groups from the previously published interspecific linkage map of chickpea and confirmed conservation of the SSR markers across the two maps as well as the variation in terms of marker distance and order. The double podding gene was tagged by the markers NCPGR33 and UBC249z at 2.0 and 1.1 cM, respectively. Whereas, seeds per pod, was tagged by the markers TA2x and UBC465 at 0.1 and 1.8 cM, respectively. Eight QTLs were identified that influence seed weight. The joint map approach allowed mapping a large number of markers with a moderate coverage of the chickpea genome and few linkage gaps.

Microsatellite marker diversity in common bean (Phaseolus vulgaris L.)

A diversity survey was used to estimate allelic diversity and heterozygosity of 129 microsatellite markers in a panel of 44 common bean (Phaseolus vulgaris L.) genotypes that have been used as parents of mapping populations. Two types of microsatellites were evaluated, based respectively on gene coding and genomic sequences. Genetic diversity was evaluated by estimating the polymorphism information content (PIC), as well as the distribution and range of alleles sizes. Gene-based microsatellites proved to be less polymorphic than genomic microsatellites in terms of both number of alleles (6.0 vs. 9.2) and PIC values (0.446 vs. 0.594) while greater size differences between the largest and the smallest allele were observed for the genomic microsatellites than for the gene-based microsatellites (31.4 vs. 19.1 bp). Markers that showed a high number of alleles were identified with a maximum of 28 alleles for the marker BMd1. The microsatellites were useful for distinguishing Andean and Mesoamerican genotypes, for uncovering the races within each genepool and for separating wild accessions from cultivars. Greater polymorphism and race structure was found within the Andean gene pool than within the Mesoamerican gene pool and polymorphism rate between genotypes was consistent with genepool and race identity. Comparisons between Andean genotypes had higher polymorphism (53.0%) on average than comparisons among Mesoamerican genotypes (33.4%). Within the Mesoamerican parental combinations, the intra-racial combinations between Mesoamerica and Durango or Jalisco race genotypes showed higher average rates of polymorphism (37.5%) than the within-race combinations between Mesoamerica race genotypes (31.7%). In multiple correspondance analysis we found two principal clusters of genotypes corresponding to the Mesoamerican and Andean gene pools and subgroups representing specific races especially for the Nueva Granada and Peru races of the Andean gene pool. Intra population diversity was higher within the Andean genepool than within the Mesoamerican genepool and this pattern was observed for both gene-based and genomic microsatellites. Furthermore, intra-population diversity within the Andean races (0.356 on average) was higher than within the Mesoamerican races (0.302). Within the Andean gene pool, race Peru had higher diversity compared to race Nueva Granada, while within the Mesoamerican gene pool, the races Durango, Guatemala and Jalisco had comparable levels of diversity which were below that of race Mesoamerica.

Development of microsatellite markers and analysis of intraspecific genetic variability in chickpea (Cicer arietinum L.)

Paucity of polymorphic molecular markers in chickpea (Cicer arietinum L.) has been a major limitation in the improvement of this important legume. Hence, in an attempt to develop sequence-tagged microsatellite sites (STMS) markers from chickpea, a microsatellite enriched library from the C. arietinum cv. Pusa362 nuclear genome was constructed for the identification of (CA/GT)n and (CT/GA)n microsatellite motifs. A total of 92 new microsatellites were identified, of which 74 functional STMS primer pairs were developed. These markers were validated using 9 chickpea and one C. reticulatum accession. Of the STMS markers developed, 25 polymorphic markers were used to analyze the intraspecific genetic diversity within 36 geographically diverse chickpea accessions. The 25 primer pairs amplified single loci producing a minimum of 2 and maximum of 11 alleles. A total of 159 alleles were detected with an average of 6.4 alleles per locus. The observed and expected heterozygosity values averaged 0.32 (0.08-0.91) and 0.74 (0.23-0.89) respectively. The UPGMA based dendrogram was able to distinguish all the accessions except two accessions from Afghanistan establishing that microsatellites could successfully detect intraspecific genetic diversity in chickpea. Further, cloning and sequencing of size variant alleles at two microsatellite loci revealed that the variable numbers of AG repeats in different alleles were the major source of polymorphism. Point mutations were found to occur both within and immediately upstream of the long tracts of perfect repeats, thereby bringing about a conversion of perfect motifs into imperfect or compound motifs. Such events possibly occurred in order to limit the expansion of microsatellites and also lead to the birth of new microsatellites. The microsatellite markers developed in this study will be useful for genetic diversity analysis, linkage map construction as well as for depicting intraspecific microsatellite evolution.

Identification of microsatellite markers from Cicer reticulatum: molecular variation and phylogenetic analysis

Microsatellite sequences were cloned and sequenced from Cicer reticulatum, the wild annual progenitor of chickpea (C. arietinum L.). Based on the flanking sequences of the microsatellite motifs, 11 sequence-tagged microsatellite site (STMS) markers were developed. These markers were used for phylogenetic analysis of 29 accessions representing all the nine annual Cicer species. The 11 primer pairs amplified distinct fragments in all the annual species demonstrating high levels of sequence conservation at these loci. Efficient marker transferability (97%) of the C. reticulatum STMS markers across other species of the genus was observed as compared to microsatellite markers from the cultivated species. Variability in the size and number of alleles was obtained with an average of 5.8 alleles per locus. Sequence analysis at three homologous microsatellite loci revealed that the microsatellite allele variation was mainly due to differences in the copy number of the tandem repeats. However, other factors such as (1) point mutations, (2) insertion/deletion events in the flanking region, (3) expansion of closely spaced microsatellites and (4) repeat conversion in the amplified microsatellite loci were also responsible for allelic variation. An unweighted pairgroup method with arithmetic averages (UPGMA)-based dendrogram was obtained, which clearly distinguished all the accessions (except two C. judaicum accessions) from one another and revealed intra- as well as inter-species variability in the genus. An annual Cicer phylogeny was depicted which established the higher similarity between C. arietinum and C. reticulatum. The placement of C. pinnatifidum in the second crossability group and its closeness to C. bijugum was supported. Two species, C. yamashitae and C. chorassanicum, were grouped distinctly and seemed to be genetically diverse from members of the first crossability group. Our data support the distinct placement of C. cuneatum as well as a revised classification regarding its placement.

Quantitative trait loci governing carotenoid concentration and weight in seeds of chickpea (Cicer arietinum L.)

Chickpea is a staple protein source in many Asian and Middle Eastern countries. The seeds contain carotenoids such as beta-carotene, cryptoxanthin, lutein and zeaxanthin in amounts above the engineered beta-carotene-containing "golden rice" level. Thus, breeding for high carotenoid concentration in seeds is of nutritional, socio-economic, and economic importance. To study the genetics governing seed carotenoids in chickpea, we studied the relationship between seed weight and concentrations of beta-carotene and lutein by means of high-performance liquid chromatography in segregating progeny from a cross between an Israeli cultivar and wild Cicer reticulatum Ladiz. Seeds of the cross progeny varied with respect to their carotenoid concentration (heritability estimates ranged from 0.5 to 0.9), and a negative genetic correlation was found between mean seed weight and carotenoid concentration in the F(3). To determine the loci responsible for the genetic variation observed, the population was genotyped using 91 sequence tagged microsatellite site markers and two CytP450 markers to generate a genetic map consisting of nine linkage groups and a total length of 344.6 cM. Using quantitative data collected for beta-carotene and lutein concentration and seed weight of the seeds of the F(2) population, we were able to identify quantitative trait loci (QTLs) by interval mapping. At a LOD score of 2, four QTLs for beta-carotene concentration, a single QTL for lutein concentration and three QTLs for seed weight were detected. The results of this investigation may assist in improving the nutritional quality of chickpea.

A linkage map of chickpea (Cicer arietinum L.) based on populations from Kabuli x Desi crosses: location of genes for resistance to fusarium wilt race 0

Two recombinant inbred line (RIL) populations derived from intraspecific crosses with a common parental line (JG62) were employed to develop a chickpea genetic map. Molecular markers, flower colour, double podding, seed coat thickness and resistance to fusarium wilt race 0 (FOC-0) were included in the study. Joint segregation analysis involved a total of 160 markers and 159 RILs. Ten linkage groups (LGs) were obtained that included morphological markers and 134 molecular markers (3 ISSRs, 13 STMSs and 118 RAPDs). Flower colour (B/b) and seed coat thickness (Tt/tt) appeared to be linked to STMS (GAA47). The single-/double-podding locus was located on LG9 jointly with two RAPD markers and STMS TA80. LG3 included a gene for resistance to FOC-0 (Foc0(1)/foc0(1)) flanked by RAPD marker OPJ20(600) and STMS marker TR59. The association of this LG with FOC-0 resistance was confirmed by QTL analysis in the CA2139 x JG62 RIL population where two genes were involved in the resistance reaction. The STMS markers enabled comparison of LGs with preceding maps.

Construction of BAC and BIBAC libraries and their applications for generation of SSR markers for genome analysis of chickpea, Cicer arietinum L

Large-insert bacterial artificial chromosome (BAC) libraries, plant-transformation-competent binary BAC (BIBAC) libraries, and simple sequence repeat (SSR) markers are essential for many aspects of genomics research. We constructed a BAC library and a BIBAC library from the nuclear DNA of chickpea, Cicer arietinum L., cv. Hadas, partially digested with HindIII and BamHI, respectively. The BAC library has 14,976 clones, with an average insert size of 121 kb, and the BIBAC library consists of 23,040 clones, with an average insert size of 145 kb. The combined libraries collectively cover ca. 7.0 x genomes of chickpea. We screened the BAC library with eight synthetic SSR oligos, (GA)10, (GAA)7, (AT)10, (TAA)7, (TGA)7, (CA)10, (CAA)7, and (CCA)7. Positive BACs were selected, subcloned, and sequenced for SSR marker development. Two hundred and thirty-three new chickpea SSR markers were developed and characterized by PCR, using chickpea DNA as template. These results have demonstrated that BACs are an excellent source for SSR marker development in chickpea. We also estimated the distribution of the SSR loci in the chickpea genome. The SSR motifs (TAA)n and (GA)n were much more abundant than the others, and the distribution of the SSR loci appeared non-random. The BAC and BIBAC libraries and new SSR markers will provide valuable resources for chickpea genomics research and breeding (the libraries and their filters are available to the public at http://hbz.tamu.edu).

Construction of a linkage map based on a Lathyrus sativus backcross population and preliminary investigation of QTLs associated with resistance to ascochyta blight

A linkage map of the Lathyrus sativus genome was constructed using 92 backcross individuals derived from a cross between an accession resistant (ATC 80878) to ascochyta blight caused by Mycosphaerella pinodes and a susceptible accession (ATC 80407). A total of 64 markers were mapped on the backcross population, including 47 RAPD, seven sequence-tagged microsatellite site and 13 STS/CAPS markers. The map comprised nine linkage groups, covered a map distance of 803.1 cM, and the average spacing between markers was 15.8 cM. Quantitative trait loci (QTL) associated with ascochyta blight resistance were detected using single-point analysis and simple and composite interval mapping. The backcross population was evaluated for stem resistance in temperature-controlled growth room trials. One significant QTL, QTL1, was located on linkage group 1 and explained 12% of the phenotypic variation in the backcross population. A second suggestive QTL, QTL2, was detected on linkage group 2 and accounted for 9% of the trait variation. The L. sativus R-QTL regions detected may be targeted for future intergenus transfer of the trait into accessions of the closely related species Pisum sativum.

Pathotype-specific genetic factors in chickpea (Cicer arietinum L.) for quantitative resistance to ascochyta blight

Ascochyta blight in chickpea ( Cicer arietinum L.) is a devastating fungal disease caused by the necrotrophic pathogen, Ascochyta rabiei (Pass.) Lab. To elucidate the genetic mechanism of pathotype-dependent blight resistance in chickpea, F(7)-derived recombinant inbred lines (RILs) from the intraspecific cross of PI 359075(1) (blight susceptible) x FLIP84-92C(2) (blight resistant) were inoculated with pathotypes I and II of A. rabiei. The pattern of blight resistance in the RIL population varied depending on the pathotype of A. rabiei. Using the same RIL population, an intraspecific genetic linkage map comprising 53 sequence-tagged microsatellite site markers was constructed. A quantitative trait locus (QTL) for resistance to pathotype II of A. rabiei and two QTLs for resistance to pathotype I were identified on linkage group (LG)4A and LG2+6, respectively. A putative single gene designated as Ar19 (or Ar21d) could explain the majority of quantitative resistance to pathotype I. Ar19 (or Ar21d) appeared to be required for resistance to both pathotypes of A. rabiei, and the additional QTL on LG4A conferred resistance to pathotype II of A. rabiei. Further molecular genetic approach is needed to identify individual qualitative blight resistance genes and their interaction for pathotype-dependent blight resistance in chickpea.

An intersubspecific genetic map of Lens

A Lens map was developed based on the segregational analysis of five kinds of molecular and morphological genetic markers in 113 F(2) plants obtained from a single hybrid of Lens culinaris ssp. culinaris x L. c. ssp. orientalis. A total of 200 markers were used on the F(2) population, including 71 RAPDs, 39 ISSRs, 83 AFLPs, two SSRs and five morphological loci. The AFLP technique generated more polymorphic markers than any of the others, although AFLP markers also showed the highest proportion (29.1%) of distorted segregation. At a LOD score of 3.0, 161 markers were grouped into ten linkage groups covering 2,172.4 cM, with an average distance between markers of 15.87 cM. There were six large groups with 12 or more markers each, and four small groups with two or three markers each. Thirty-nine markers were unlinked. A tendency for markers to cluster in the central regions of large linkage groups was observed. Likewise, clusters of AFLP, ISSR or RAPD markers were also observed in some linkage groups, although RAPD markers were more evenly spaced along the linkage groups. In addition, two SSR, three RAPD and one ISSR markers segregated as codominant. ISSR markers are valuable tools for Lens genetic mapping and they have a high potential in the generation of saturated Lens maps.

Microsatellite identification and characterization in peanut ( A. hypogaea L.)

A major constraint to the application of biotechnology to the improvement of the allotetraploid peanut, or groundnut ( Arachis hypogaea L.), has been the paucity of polymorphism among germplasm lines using biochemical (seed proteins, isozymes) and DNA markers (RFLPs and RAPDs). Six sequence-tagged microsatellite (STMS) markers were previously available that revealed polymorphism in cultivated peanut. Here, we identify and characterize 110 STMS markers that reveal genetic variation in a diverse array of 24 peanut landraces. The simple-sequence repeats (SSRs) were identified with a probe of two 27648-clone genomic libraries: one constructed using PstI and the other using Sau3AI/ BamHI. The most frequent, repeat motifs identified were ATT and GA, which represented 29% and 28%, respectively, of all SSRs identified. These were followed by AT, CTT, and GT. Of the amplifiable primers, 81% of ATT and 70.8% of GA repeats were polymorphic in the cultivated peanut test array. The repeat motif AT showed the maximum number of alleles per locus (5.7). Motifs ATT, GT, and GA had a mean number of alleles per locus of 4.8, 3.8, and 3.6, respectively. The high mean number of alleles per polymorphic locus, combined with their relative frequency in the genome and amenability to probing, make ATT and GA the most useful and appropriate motifs to target to generate further SSR markers for peanut.

Tightly linked di- and tri-nucleotide microsatellites do not evolve in complete independence: evidence from linked (TA)n and (TAA)n microsatellites of chickpea (Cicer arietinum L.)

In order to understand the dynamics of microsatellite evolution, we have studied allelic variation at a closely linked (TA)(n) and (TAA)(n) microsatellite loci in 114 land races of chickpea ( Cicer arietinum L.), sampled worldwide. These two loci are separated by 27 bp. The two loci showed a very high degree of polymorphism and hence the combined length with the genetic diversity of 0.93, 0.90 and 0.98 for (TAA)(n), (TA)(n) and the combined length, respectively. Using the variation data at the linked loci, a standardized index of linkage disequilibrium was also computed ( I(S)(A)=0.092), which tests the null hypothesis of no linkage and was significant, indicating the presence of linkage disequilibrium. Furthermore, the dynamics of allelic variation showed that there is a threshold combined length, below which both (TAA)(n) and (TA)(n) loci evolve independently, and above which, if one locus increase in size, the other closely linked locus has a tendency to decrease its size and vice versa, without change in the overall ratio of (TAA)(n) and (TA)(n) allele sizes at the region. This result indicates that there are processes in the cell, which 'read' the combined size of the two loci both for proportion and length and determine the direction of tightly linked di- and tri-nucleotide repeat evolution.

Development of a genome-wide anchored microsatellite map for common bean (Phaseolus vulgaris L.)

A total of 150 microsatellite markers developed for common bean ( Phaseolus vulgaris L.) were tested for parental polymorphism and used to determine the positions of 100 genetic loci on an integrated genetic map of the species. The value of these single-copy markers was evident in their ability to link two existing RFLP-based genetic maps with a base map developed for the Mesoamerican x Andean population, DOR364 x G19833. Two types of microsatellites were mapped, based respectively on gene-coding and anonymous genomic-sequences. Gene-based microsatellites proved to be less polymorphic (46.3%) than anonymous genomic microsatellites (64.3%) between the parents of two inter-genepool crosses. The majority of the microsatellites produced single bands and detected single loci, however four of the gene-based and three of the genomic microsatellites produced consistent double or multiple banding patterns and detected more than one locus. Microsatellite loci were found on each of the 11 chromosomes of common bean, the number per chromosome ranging from 5 to 17 with an average of ten microsatellites each. Total map length for the base map was 1,720 cM and the average chromosome length was 156.4 cM, with an average distance between microsatellite loci of 19.5 cM. The development of new microsatellites from sequences in the Genbank database and the implication of these results for genetic mapping, quantitative trait locus analysis and marker-assisted selection in common bean are described.

Construction of an intraspecific linkage map of lentil ( Lens culinaris ssp. culinaris)

The first intraspecific linkage map of the lentil genome was constructed with 114 molecular markers (100 RAPD, 11 ISSR and three RGA) using an F(2) population developed from a cross between lentil cultivars ILL5588 and ILL7537 which differed in resistance for ascochyta blight. Linkage analysis at a LOD score of 4.0 and a maximum recombination fraction of 0.25 revealed nine linkage groups comprising between 6 and 18 markers each. The intraspecific map spanned a total length of 784.1 cM. The markers were distributed throughout the genome, however markers were clustered in the middle or near the middle of the linkage groups, suggesting the location of centromeres. Of 114 mapped markers, 16 (14.0%) were distorted, usually at the end or middle of the linkage groups. The utility of ISSR and RGA markers for mapping in lentil was explored, and the primer with an (AC) repeat motif was found to be useful.

Preliminary investigation of QTLs associated with seedling resistance to ascochyta blight from Cicer echinospermum, a wild relative of chickpea

Accessions from Cicer echinospermum, a wild relative of chickpea (Cicer arietinum L.), contain resistance to the fungal disease ascochyta blight, a devastating disease of chickpea. A linkage map was constructed based on an interspecific F(2) population, derived from a cross between a susceptible chickpea cultivar (Lasseter) and a resistant C. echinospermum accession (PI 527930). The linkage map incorporated 83 molecular markers, that included RAPD, ISSR, STMS and RGA markers; eight markers remained unlinked. The map comprised eight linkage groups and covered a map distance of 570 cM. Six out of the eight linkage groups were correlated to linkage groups from the integrated Cicer map using STMS markers. Quantitative trait loci (QTLs) associated with ascochyta blight resistance were detected using interval mapping and single-point analysis. The F(2) population was evaluated for seedling and stem resistance in glasshouse trials. At least two QTLs were identified for seedling resistance, both of which were located within linkage group 4. Five markers were associated with stem resistance, four of which were also associated with seedling resistance. QTLs from previous studies also mapped to LG 4, suggesting that this linkage group is an important region of the Cicer genome for resistance to ascochyta blight.

Molecular markers closely linked to fusarium resistance genes in chickpea show significant alignments to pathogenesis-related genes located on Arabidopsis chromosomes 1 and 5

A population of 131 recombinant inbred lines from a wide cross between chickpea ( Cicer arietinum L., resistant parent) and Cicer reticulatum (susceptible parent) segregating for the closely linked resistances against Fusarium oxysporum f.sp. ciceri races 4 and 5 was used to develop DNA amplification fingerprinting markers linked to both resistance loci. Bulked segregant analysis revealed 19 new markers on linkage group 2 of the genetic map on which the resistance genes are located. Closest linkage (2.0 cM) was observed between marker R-2609-1 and the race 4 resistance locus. Seven other markers flanked this locus in a range from 4.1 to 9.0 cM. These are the most closely linked markers available for this locus up to date. The sequences of the linked markers were highly similar to genes encoding proteins involved in plant pathogen response, such as a PR-5 thaumatin-like protein and an important regulator of the phytoalexin pathway, anthranilate N-hydroxycinnamoyl-benzoyltransferase. Others showed significant alignments to genes encoding housekeeping enzymes such as the MutS2 DNA-mismatch repair protein. In the Arabidopsis genome, similar genes are located on short segments of chromosome 1 and 5, respectively, suggesting synteny between the fusarium resistance gene cluster of chickpea and the corresponding regions in the Arabidopsis genome. Three marker sequences were similar to retrotransposon-derived and/or satellite DNA sequences. The markers developed here provide a starting point for physical mapping and map-based cloning of the fusarium resistance genes and exploration of synteny in this highly interesting region of the chickpea genome.

Microsatellite isolation and characterization in sunflower (Helianthus annuus L.)

Development of microsatellite markers for sunflower (Helianthus annuus L.) was performed to estimate their frequency, nature (structure), levels of polymorphism, usefulness for genotype identification, and calculation of genetic relationships between inbred lines representing the species diversity. Isolation was performed from a small-insert genomic library followed by hybridization screening using oligonucleotide probes containing different nucleotide arrays. In this work, 503 unique microsatellite clones were sequenced and 271 PCR primer sequences bordering the microsatellite repeat were designed. For polymorphism assessment, 16 H. annuus germplasm accessions were checked and 170 of the primers tested were shown to be polymorphic for the selected lines. The polymorphic microsatellites produced an average of 3.5 alleles/locus and an average polymorphism information content (PIC) of 0.55. The most frequently found motifs within polymorphic simple-sequence repeats (SSRs) were: (GA)n, (GT)n, (AT)n, followed by trinucleotides (ATT)n, (TGG)n, and (ATC)n, and the tetranucleotide (CATA)n. Most of the 170 SSRs obtained showed important differences in the 16 reference inbred lines used for their characterization. In this work, 20 of the most informative SSRs destined to sunflower genotyping and legal fingerprinting purposes are fully described.