PREFACE REPETITIVE DNA: AN IMPORTANT SOURCE OF VARIATION IN EUKARYOTIC GENOMES Categories of DNA Sequence Mutations Tandem-Repetitive DNA: The Biology of Mini- and Microsatellites Minisatellites Microsatellites Transposable Elements Class I Transposons Class II Transposons Unclassified Transposons Transposons and Genome Evolution Transposons as Molecular Markers DETECTING DNA VARIATION BY MOLECULAR MARKERS Properties of Molecular Markers Traditional Marker Systems Protein Markers and Allozymes DNA Sequencing Restriction Fragment Length Polymorphism (RFLP) Analysis The PCR Generation: Molecular Markers Based on In Vitro DNA Amplification Principle of the PCR Cleaved Amplified Polymorphic Sequences PCR with Arbitrary Primers: RAPD and Its Variants Microsatellites Inter-Repeat PCR DNA Profiling of Genic Regions: Resistance Gene Analog Polymorphism, Sequence-Related Amplified Polymorphism, and Target Region Amplification Polymorphism Hybridization of Microsatellites to RAPD and MP-PCR Products AFLP Analysis and Its Variants Single-Strand Conformation Polymorphism Analysis and Related Techniques Miscellaneous Techniques LABORATORY EQUIPMENT METHODOLOGY Safety Precautions Isolation, Purification, and Quantitation of Plant DNA Collection and Preservation of Plant Tissue in the Field Plant DNA Extraction: General Considerations CTAB Protocol I CTAB Protocol II SDS-Potassium Acetate Protocol DNA Preparation via Nuclei Quantitation of DNA Basic Molecular Techniques Restriction of DNA Polymerase Chain Reaction DNA Sequencing Agarose Gel Electrophoresis PAA Gel Electrophoresis Detection of DNA in Gels Gel Drying Southern Blotting Generation of Radiolabeled Probes, Primers, and PCR Products Blot Hybridization Signal Detection PCR with Arbitrary Primers Standard RAPD Protocol Influence of Reaction Conditions and Components Modifications Microsatellite-Primed PCR Standard Protocol of Microsatellite-Primed PCR Influence of Reaction Conditions and Components Modifications PCR and Hybridization: Combinatory Techniques Assessing the Genomic Copy Number of PCR Amplicons Testing the Homology of Comigrating Bands Random Amplified Polymorphic Microsatellites Amplified Fragment Length Polymorphism Standard AFLP Protocol Using Radioisotopes AFLP Protocol Using Fluorescence-Labeled Primers Selective Amplification of Microsatellite Polymorphic Loci and Microsatellite AFLP Protocols Technical Aspects and Modifications Robustness and Reproducibility Generation and Analysis of Microsatellite Markers Microsatellite Analysis Using Radioisotopes Microsatellite Analysis Using Fluorochromes Technical Aspects and Modifications Generating Microsatellite Markers Without Cloning Microsatellite Cloning CAPS Analysis of cpDNA and mtDNA Standard CAPS Protocol Choice of CAPS Primers EVALUATION OF MOLECULAR MARKER DATA Robustness and Reproducibility Reliability Band Homology Band Linkage and Neutrality Fragment Sizing and Matching General Precautions Equipment Multilocus vs. Single-Locus Approaches Multilocus Markers Single-Locus Markers and Polyploids Band Sharing and Genetic Distances Coefficients of Similarity Dissimilarity Coefficients and Genetic Distances Identity and Uniqueness Clonal Structure Ordination, Clustering, and Dendrograms Ordination Techniques Construction of Dendrograms Population Genetic Analysis Measures of Variation Genetic Differentiation between Populations Genetic Distances between Populations Inbreeding Coefficient and Mating Systems Estimation of Relatedness and Paternity Testing Migration and Hybridization Gene Flow, Isolation-by-Distance, and Spatial Structure Phylogeography and Nested Clade Analysis Statistical Testing of Hypotheses: Analytical and Computational Methods APPLICATIONS OF DNA FINGERPRINTING IN PLANT SCIENCES A Brief History of DNA Fingerprinting Minisatellite and Oligonucleotide DNA Probes Detect Genetic Variation PCR-Based Methods Enter the Stage Microsatellite DNA Analyses Yield Codominant Markers Universal Organellar DNA Primers Produce Uniparental Markers Genotype Identification Individual-Specific DNA Fingerprints Cultivar Identification In Vitro-Propagated Plant Material and Somaclonal Variation Sports and Other Mutants Genetic Diversity Variation and Relatedness among Cultivars Analysis of Population Genetic Diversity and Its Distribution Hybridization and Introgression Plant Conservation Germplasm Characterization and Preservation Plant Taxonomy and Systematics Taxonomic Relationships Revealed by Multilocus DNA Methods Microsatellite Markers in Taxonomic Studies Taxonomic Consequences from DNA Profiling Data Phylogeography Phylogeography Based on cpDNA Phylogeography Based on Nuclear Genes LINKAGE ANALYSIS AND GENETIC MAPS Generating High-Density Genetic Maps Selection of Parent Plants Mapping Population Linkage Analysis The Genetic Map Cytogenetic Maps Genetic vs. Physical Maps Synteny: The Comparative Analysis of Genomes Marker-Assisted Selection Molecular Markers and Positional Cloning WHICH MARKER FOR WHAT PURPOSE: A COMPARISON Morphological Characters and Allozymes vs. DNA Markers Different Kinds of DNA Markers Discriminatory Power Genetic Distances Within- and Among-Population Variation Gene Tagging and Genetic Linkage Mapping Costs Conclusions FUTURE PROSPECTS: SNIPS AND CHIPS FOR DNA AND RNA PROFILING Single-Nucleotide Polymorphisms What Is a SNiP SNP Discovery DNA Microarrays Expression Profiling and Expression Markers APPENDIX 1: PLANT DNA ISOLATION PROTOCOLS APPENDIX 2: SUPPLIERS AND SELLERS OF REAGENTS AND EQUIPMENT APPENDIX 3: COMPUTER PROGRAMS DEALING WITH THE EVALUATION OF DNA SEQUENCE VARIATION AND MOLECULAR MARKER DATA APPENDIX 4: WEB PAGES OF INTEREST REFERENCES INDEX

DNA fingerprinting in plants: principles, methods, and applications

DNA Fingerprinting in Plants: Principles, Methods, and Applications, Second Edition

Chickpea (Cicer arietinum L.) is characterised by a different adaptation profile from the other crops of West Asian origin such as pea, barley, and wheat. In this paper we suggest that a series of four evolutionary bottlenecks occur in chickpea: (1) the scarcity and limited distribution of the wild progenitor, C. reticulatum Ladiz., (2) the founder effect associated with domestication, (3) the shift, early in the crop's history, from winter to spring sowing, and the attendant change from using rainfall as it occurs to a reliance on residual soil moisture, and (4) the replacement of locally evolving landraces by elite cultivars produced by modern plant breeding. While two of the bottlenecks are common to all species, the limited distribution of the wild progenitor and shift of cropping from utilisation of current rainfall to stored soil moisture is unique to chickpea. In this paper we suggest that in order to widen the genetic base of cultivated chickpea it is imperative to reintroduce traits from across the primary gene pool. Moreover, a comparative physiological approach to the study of adaptation among the annual wild relatives of chickpea may reveal adaptive strategies within the genus currently obscured by monomorphic loci. The poor state of the world collection of annual wild Cicer species severely constrains the implementation of both these imperatives. We suggest that an extensive collection of annual wild Cicer species, based on ecogeographic principles to maximise the probability of collecting diverse ecotypes, should provide a better understanding of the biology and adaptation in this ancient crop and lead to improved productivity.

Viewpoint: Evolution of cultivated chickpea: four bottlenecks limit diversity and constrain adaptation.

Fusarium wilt (FW) and Ascochyta blight (AB) are two major constraints to chickpea (Cicer arietinum L.) production. Therefore, two parallel marker-assisted backcrossing (MABC) programs by targeting foc1 locus and two quantitative trait loci (QTL) regions, ABQTL-I and ABQTL-II, were undertaken to introgress resistance to FW and AB, respectively, in C 214, an elite cultivar of chickpea. In the case of FW, foreground selection (FGS) was conducted with six markers (TR19, TA194, TAA60, GA16, TA110, and TS82) linked to foc1 in the cross C 214 × WR 315 (FWresistant). On the other hand, eight markers (TA194, TR58, TS82, GA16, SCY17, TA130, TA2, and GAA47) linked with ABQTL-I and ABQTL-II were used in the case of AB by deploying C 214 × ILC 3279 (AB-resistant) cross. Background selection (BGS) in both crosses was employed with evenly distributed 40 (C 214 × WR 315) to 43 (C 214 × ILC 3279) SSR markers in the chickpea genome to select plant(s) with higher recurrent parent genome (RPG) recovery. By using three backcrosses and three rounds of selfing, 22 BC 3F4 lines were generated for C 214 × WR 315 cross and 14 MABC lines for C 214 × ILC 3279 cross. Phenotyping of these lines has identified three resistant lines (with 92.7–95.2% RPG) to race 1 of FW, and seven resistant lines (with 81.7–85.40% RPG) to AB that may be tested for yield and other agronomic traits under multilocation trials for possible release and cultivation.

/pdf/marker-assisted-backcrossing-to-introgress-resistance-to-fo628lbi22.pdf

Marker-assisted backcrossing to introgress resistance to fusarium wilt race 1 and ascochyta blight in C 214, an elite cultivar of chickpea

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 × 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.

/pdf/integration-of-novel-ssr-and-gene-based-snp-marker-loci-in-1brg0d142m.pdf

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.

An integrated molecular marker map of the chickpea genome was established using 130 recombinant inbred lines from a wide cross between a cultivar resistant to fusarium wilt caused by Fusarium oxysporum Schlecht. emend. Snyd. &. Hans f. sp. ciceri (Padwick) Snyd & Hans, and an accession of Cicer reticulatum (PI 489777), the wild progenitor of chickpea. A total of 354 markers were mapped on the RILs including 118 STMSs, 96 DAFs, 70 AFLPs, 37 ISSRs, 17 RAPDs, eight isozymes, three cDNAs, two SCARs and three loci that confer resistance against different races of fusarium wilt. At a LOD-score of 4.0, 303 markers cover 2077.9 cM in eight large and eight small linkage groups at an average distance of 6.8 cM between markers. Fifty one markers (14.4%) were unlinked. A clustering of markers in central regions of linkage groups was observed. Markers of the same class, except for ISSR and RAPD markers, tended to generate subclusters. Also, genes for resistance to races 4 and 5 of fusarium wilt map to the same linkage group that includes an STMS and a SCAR marker previously shown to be linked to fusarium wilt race 1, indicating a clustering of several fusarium-wilt resistance genes around this locus. Significant deviation from the expected 1 : 1 segregation ratio was observed for 136 markers (38.4%, P<0.05). Segregation was biased towards the wild progenitor in 68% of the cases. Segregation distortion was similar for all marker types except for ISSRs that showed only 28.5% aberrant segregation. The map is the most extended genetic map of chickpea currently available. It may serve as a basis for marker-assisted selection and map-based cloning of fusarium wilt resistance genes and other agronomically important genes in future.

A linkage map of the chickpea (Cicer arietinum L.) genome based on recombinant inbred lines from a C. arietinum×C. reticulatum cross: localization of resistance genes for fusarium wilt races 4 and 5

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A linkage map of the chickpea (Cicer arietinum L.) genome based on recombinant inbred lines from a C. arietinum×C. reticulatum cross: localization of resistance genes for fusarium wilt races 4 and 5