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PubMed2004

Isolation and identification of a gene in response to rice blast disease in rice.

We combined cDNA amplified fragment length polymorphism (cDNA-AFLP) with bulked segregant analysis (BSA) to detect genes that control rice blast ( Magnaporthe grisea ) resistance in a double-haploid (DH) population derived from a cross between a blast-resistant variety, Zhai Ye Qing8 (ZYQ8), and a blast-susceptible variety, Jin Xi17 (JX17). In cDNA-AFLP analysis between a blast resistance (R) pool and a blast susceptibility (S) pool from the DH population, 12 transcript-derived fragments (TDFs) that were present in only one of the two pools were detected, 8 of which were from the R pool and 4 from the S pool. Mapping analysis of these TDFs by using the DH mapping population showed that five of them, R1, R8, S9, S16 and S17, were located on chromosome 1. Sequence comparison and allelic analysis showed that R1/S16 and R8/S9 were two pairs of allelic genes. The full-length cDNA sequences of R1/S16, S17 and R8/S were obtained through cDNA library screening, in which only the expression level of R8 cDNA was up-regulated by inoculation with the blast isolate zh10814 and not affected by mock treatment, suggesting that R8 was implicated in the signaling pathways of the rice blast resistance reaction. Protein function prediction showed that R8 cDNA encodes a protein with high identity to a putative calmodulin-binding protein in Arabidopsis thaliana which belongs to the P-loop-containing nucleotide triphosphate hydrolases superfamily that contains a number of various kinases.

Alleles↗
PubMed2002

Integration of sequence tagged microsatellite sites to the chickpea genetic map.

Fifty sequence-tagged microsatellite site (STMS) markers and a resistant gene-analog (RGA) locus were integrated into a chickpea ( Cicer arietinum L., 2n = 2 x = 16 chromosomes) genetic map that was previously constructed using 142 F(6)-derived recombinant inbred lines (RILs) from a cross of C. arietinum x Cicer reticulatum Lad. The map covers 1,174.5 cM with an average distance of 7.0 cM between markers in nine linkage groups (LGs). Nine markers including the RGA showed distorted segregation ( P < 0.05). The majority of the newly integrated markers were mapped to marker-dense regions of the LGs. Six co-dominant STMS markers were integrated into two previously reported major quantitative trait loci (QTLs) conferring resistance to Ascochyta blight caused by Ascochyta rabiei (Pass.) Labr. Using common STMS markers as anchors, three maps developed from different mapping populations were joined, and genes for resistance to Ascochyta blight, Fusarium wilt (caused by Fusarium oxysporum Schlechtend.: Fr. f. sp. ciceris), and for agronomically important traits were located on the combined linkage map. The integration of co-dominant STMS markers improves the map of chickpea and makes it possible to consider additional fine mapping of the genome and also map-based cloning of important disease resistance genes.

Journal Article↗
PubMed2002

A genetic linkage map of the model legume Lotus japonicus and strategies for fast mapping of new loci.

A genetic map for the model legume Lotus japonicus has been developed. The F(2) mapping population was established from an interspecific cross between L. japonicus and L. filicaulis. A high level of DNA polymorphism between these parents was the source of markers for linkage analysis and the map is based on a framework of amplified fragment length polymorphism (AFLP) markers. Additional markers were generated by restriction fragment length polymorphism (RFLP) and sequence-specific PCR. A total of 524 AFLP markers, 3 RAPD markers, 39 gene-specific markers, 33 microsatellite markers, and six recessive symbiotic mutant loci were mapped. This genetic map consists of six linkage groups corresponding to the six chromosomes in L. japonicus. Fluorescent in situ hybridization (FISH) with selected markers aligned the linkage groups to chromosomes as described in the accompanying article by Pedrosa et al. 2002(this issue). The length of the linkage map is 367 cM and the average marker distance is 0.6 cM. Distorted segregation of markers was found in certain sections of the map and linkage group I could be assembled only by combining colormapping and cytogenetics (FISH). A fast method to position genetic loci employing three AFLP primer combinations yielding 89 markers was developed and evaluated by mapping three symbiotic loci, Ljsym1, Ljsym5, and Ljhar1-3.

Chromosome Mapping↗
PubMed2025

Quantitative trait loci for Globodera pallida resistance derived from wild potato species Solanum gourlayi.

Globodera pallida is a major pest that is responsible for huge losses in potato yields worldwide. Expanding the gene pool of cultivated potatoes with clones resistant to this pest is made possible by searching for resistance genes in wild Solanum species. The aim of this study was to identify quantitative trait loci (QTLs) for potato resistance to Globodera pallida derived from Solanum gourlayi. A resistant diploid potato clone, Sg 2/7 (Solanum gourlayi, accession CGN17592), was crossed with a susceptible potato hybrid clone, DW 94-4235, to generate an F1 mapping population. All clones were tested for nematode resistance using G. pallida, pathotypes Pa2 and Pa3, in 2 or 3 years (2017-2019), respectively. Diversity Array Technology (DArTseq) was used for genotyping and genetic map construction. QTLs for nematode resistance were identified on potato chromosomes II, IV, V, VI, VII, X, XI,&#xa0;and XII, explaining from 10.1 to 21.5% of phenotypic variance. The most significant QTL for resistance to G. pallida pathotype Pa2 was identified on chromosome XII,&#xa0;explaining 20.9% of the phenotypic variance in the dataset from 2017. The most significant QTL for resistance to the G. pallida Pa3 pathotype was identified on chromosome VI, with a CAPS marker Exp928 in its peak,&#xa0;explaining 21.5% of the phenotypic variance in the dataset from 2017. The novel QTLs for resistance to S. gourlayi may be useful for breeding resistant potato cultivars, further studies of candidate genes,&#xa0;and host responses of potato to G. pallida infection.

Quantitative Trait Loci↗
PubMed2006

Low-resolution mapping of untagged mutations.

The mapping method detailed here is based on the multiplex polymerase chain reaction (PCR) coamplification of 32 molecular markers, using fluorescently labeled oligonucleotides as primers. For the genotyping of a single plant from a mapping population, only two simultaneous amplifications are required, the products of which are finally electrophoresed in an automated DNA sequencer controlled by fragment analysis software. An analysis of the genotypes of 50 plants allows mapping of the mutation of interest within a candidate genomic interval of about 15 cM (3 Mb, corresponding to about 40 BAC clones).

Arabidopsis↗
PubMed2002

The nature of quantitative genetic variation for Drosophila longevity.

Longevity is a typical quantitative trait: the continuous variation in life span observed in natural populations is attributable to genetic variation at multiple quantitative trait loci (QTL), environmental sensitivity of QTL alleles, and truly continuous environmental variation. To begin to understand the genetic architecture of longevity at the level of individual QTL, we have mapped QTL for Drosophila life span that segregate between two inbred strains that were not selected for longevity. A mapping population of 98 recombinant inbred lines (RIL) was derived from these strains, and life span of virgin male and female flies measured under control culture conditions, chronic heat and cold stress, heat shock and starvation stress, and high and low density larval environments. The genotypes of the RIL were determined for polymorphic roo transposable element insertion sites, and life span QTL were mapped using composite interval mapping methods. A minimum of 19 life span QTL were detected by recombination mapping. The life span QTL exhibited strong genotype by sex, genotype by environment, and genotype by genotype (epistatic) interactions. These interactions complicate mapping efforts, but evolutionary theory predicts such properties of segregating QTL alleles. Quantitative deficiency mapping of four longevity QTL detected in the control environment by recombination mapping revealed a minimum of 11 QTL in these regions. Clearly, longevity is a complex quantitative trait. In the future, linkage disequilibrium mapping can be used to determine which candidate genes in a QTL region correspond to the genetic loci affecting variation in life span, and define the QTL alleles at the molecular level.

Animals↗
PubMed2004

Molecular markers linked to papaya ring spot virus resistance and Fusarium race 2 resistance in melon.

In melon, the Fom-1 gene confers monogenic resistance against the soil-borne fungus Fusarium oxysporum f. sp. melonis, races 0 and 2, while the closely linked Prv gene specifies resistance against the papaya ring spot virus. Markers linked to these resistance (R) genes were identified using two recombinant inbred line populations, derived from crosses between Cucumis melo Vedrantais and C. melo PI 161375, and between C. melo Vedrantais and C. melo PI 414723, respectively. Using bulked segregant analysis, as well as systematic scoring of the mapping populations, we developed two amplified fragment length polymorphism markers, two random amplified polymorphic DNA markers and five restriction fragment length polymorphism (RFLP) markers linked to this locus. Four of the RFLP sequences bear homology to nucleotide-binding site-leucine-rich repeat R genes, indicating the presence of a significant R-gene cluster in this locus. Our study provides the most closely linked markers published so far for these important traits. It also improves the resolution of the whole linkage group IX, which was difficult to order in our previous studies. Two of the markers were converted to cleaved amplified polymorphic sequence markers to facilitate their application in marker-assisted selection. Testing these two markers in several melon lines revealed different marker haplotypes in the melon germplasm and supported multiple, independent origin of the Fusarium races 0 and 2 resistance trait.

Bromoviridae↗
PubMed2006

Comprehensive structural analysis of the genome of red clover (Trifolium pratense L.).

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

Base Composition↗
PubMed1994

Inheritance of polymorphic markers generated by DNA amplification fingerprinting and their use as genetic markers in soybean.

DNA amplification fingerprinting (DAF) using a high primer-to-template ratio and single, very short arbitrary primers, was used to generate amplified fragment length polymorphic markers (AFLP) in soybean (Glycine max (L.) Merr.). The inheritance of AFLPs was studied using a cross between the ancestral Glycine soja PI468.397 and Glycine max (L.) Merr. line nts382, F1 and F2 progeny. The amplification reaction was carried out with soybean genomic DNA and 8 base long oligonucleotide primers. Silver-stained 5% polyacrylamide gels containing 7 M urea detected from 11 to 28 DAF products with primers of varying GC content (ranging from 50 to 100% GC). Depending on their intensity, AFLPs were classified into three classes. DAF profiles were reproducible for different DNA extractions and gels. Forty AFLPs were detected by 26 primers when comparing G. soja and G. max. Most AFLPs were inherited as dominant Mendelian markers in F1 and F2 populations. However, abnormal inheritance occurred with about 25% of polymorphisms. One marker was inherited as a maternal marker, presumably originating from organelle DNA while another showed apparent paternal inheritance. To confirm the nuclear origin and utility of dominant Mendelian markers, three DAF polymorphisms were mapped using a F11 mapping population of recombinant inbred lines from soybean cultivars Minsoy x Noir 1. The study showed that DAF-generated polymorphic markers occur frequently and reliably, that they are inherited as Mendelian dominant loci and that they can be used in genome mapping.

Base Composition↗
PubMed2004

Two whitebacked planthopper resistance genes in rice share the same loci with those for brown planthopper resistance.

The whitebacked planthopper (WBPH), Sogatella furcifera, and brown planthopper (BPH) Nilaparvata lugens Stål are important sucking insects of rice (Oryza sativa L.) crops throughout the world. Rice 'B5', which has derived its resistance genes from the wild rice O. officinalis Wall ex Watt, is a line that is highly resistant to both WBPH and BPH. Previously, two resistance genes against BPH, Qbp1, and Qbp2 in 'B5' had been mapped onto chromosome 3 and chromosome 4, respectively. In this study, we employed a mapping population composed of 187 recombinant inbred lines (RILs), produced from a cross between 'B5' and susceptible variety 'Minghui63', to locate the WBPH and BPH resistance genes. A RFLP survey of the bulked extremes from the RIL population identified two genomic regions, one on chromosome 3 and the other on chromosome 4, likely containing the resistance genes to planthoppers. QTL analysis of the RILs further confirmed that two WBPH resistance genes were mapped on the same loci as Qbp1 and Qbp2, using a linkage map with 242 molecular markers distributed on 12 rice chromosomes. Of the two WBPH resistance genes, one designated Wbph7(t) was located within a 1.1-cM region between R1925 and G1318 on chromosome 3, the other designated Wbph8(t) was within a 0.3-cM region flanked by R288 and S11182 on chromosome 4. A two-way analysis of variance showed that two loci acted independently with each other in determining WBPH resistance. The results have significant implications in studying the interactions between sucking insects and plants and in breeding programs of resistance to rice planthoppers.

Animals↗
PubMedDate not supplied

Mapping the d1 and d2 dwarfing genes and the purple foliage color locus P in pearl millet.

The d(1) and d(2) dwarfing genes and the P purple foliage color gene were placed on the restriction fragment length polymorphism (RFLP)-based molecular marker linkage map of pearl millet [Pennisetum glaucum (L.) R. Br.] using a mapping population based on a cross of inbred lines IP 18293 (D(1)/D(1), d(2)/d(2), P/P) and Tift 238D1 (d(1)/d(1) D(2)/D(2) p/p). A skeleton genetic linkage map of 562 cM (Haldane function) was constructed using 33 RFLP markers and these three morphological markers. The D(1)/d(1) plant height locus mapped to pearl millet linkage group 1, while the D(2)/d(2) plant height locus and the P/p foliage color locus mapped to pearl millet linkage group 4. Loose genetic linkage was observed between the D(2)/d(2) and P/p loci, with 42% repulsion-phase recombination corresponding to 92 cM (Haldane). This loose linkage of morphological marker loci detected on pearl millet LG4 can likely find use in applied pearl millet breeding programs, as host plant resistances to both downy mildew and rust have previously been identified in this genomic region. Such exploitation of these morphological markers in an applied disease resistance breeding program would require development of appropriate genetic stocks, but the relatively loose genetic linkage between d(2) and P suggests that this should not be difficult.

Chromosome Mapping↗
PubMed2000

Combined analyses of data from quantitative trait loci mapping studies. Chromosome 4 effects on porcine growth and fatness.

For many species several similar QTL mapping populations have been produced and analyzed independently. Joint analysis of such data could be used to increase power to detect QTL and evaluate population differences. In this study, data were collated on almost 3000 pigs from seven different F(2) crosses between Western commercial breeds and either the European wild boar or the Chinese Meishan breed. Genotypes were available for 31 markers on chromosome 4 (on average 8.3 markers per population). Data from three traits common to all populations (birth weight, mean backfat depth at slaughter or end of test, and growth rate from birth to slaughter or end of test) were analyzed for individual populations and jointly. A QTL influencing birth weight was detected in one individual population and in the combined data, with no significant interaction of the QTL effect with population. A QTL affecting backfat that had a significantly greater effect in wild boar than in Meishan crosses was detected. Some evidence for a QTL affecting growth rate was detected in all populations, with no significant differences between populations. This study is the largest F(2) QTL analysis achieved in a livestock species and demonstrates the potential of joint analysis.

Adipose Tissue↗
PubMed2003

A genetic interval and physical contig spanning the Peronospora parasitica (At) avirulence gene locus ATR1Nd.

In Peronospora parasitica (At) (downy mildew), the genetic determinants of cultivar-specific recognition by Arabidopsis thaliana are the Arabidopsis thaliana-recognised (ATR) avirulence genes. We describe the identification of 10 amplified fragment length polymorphism (AFLP) markers that define a genetic mapping interval for the ATR1Nd avirulence allele, the presence of which is perceived by the RPP1Nd resistance gene. Furthermore, we have constructed a P. parasitica (At) bacterial artificial chromosome (BAC) library comprising over 630Mb of cloned DNA. We have isolated 16 overlapping clones from the BAC library that form a contig spanning the genetic interval. BAC sequence-derived markers and a total mapping population of 311 F(2) individuals were used to refine the ATR1Nd locus to a 1cM interval that is represented by four BAC clones and spans less than 250kb of DNA. This work demonstrates that map-based cloning techniques are feasible in this organism and provides the critical foundations for cloning ATR1Nd using such a strategy.

Alleles↗
PubMed2000

Bovine CAPN1 maps to a region of BTA29 containing a quantitative trait locus for meat tenderness.

Micromolar calcium activated neural protease (CAPN1) was investigated as a potential candidate gene for a quantitative trait locus (QTL) on BTA29 affecting meat tenderness. A 2,948-bp bovine cDNA containing the entire coding region of the gene was obtained, showing 91% identity to human CAPN1. The 716 AA protein predicted from this sequence shows 97% similarity (95% identity) to the 714 AA human protein. Analysis of the gene structure revealed that CAPN1 mRNA is encoded by at least 19 exons, and 11,055 bp of the gene were sequenced, including 17 introns. Two single nucleotide polymorphisms (SNP) were detected in intron 12 and were used to map bovine CAPN1 to the telomeric end of the BTA29 linkage group. This approximately coincides with the position of the QTL, demonstrating that CAPN1 protease is a positional candidate gene potentially affecting variation in meat tenderness in a bovine resource mapping population.

Amino Acid Sequence↗
PubMed2002

RAPD-based genetic linkage maps of yellow passion fruit (Passiflora edulis Sims. f. flavicarpa Deg.).

A single cross between two clones of passion fruit (Passiflora edulis Sims. f. flavicarpa Deg., 2n = 18) was selected for genetic mapping. The mapping population was composed of 90 F1 plants derived from a cross between 'IAPAR 123' (female parent) and 'IAPAR 06' (male parent). A total of 380 RAPD primers were analyzed according to two-way pseudo-testcross mapping design. The linkage analysis was performed using Mapmaker version 3.0 with LOD 4.0 and a maximum recombination fraction (theta) of 0.30. Map distances were estimated using the Kosambi mapping function. Linkage maps were constructed with 269 loci (2.38 markers/primer), of which 255 segregated 1:1, corresponding to a heterozygous state in one parent and null in the other. The linkage map for 'IAPAR123' consisted of 135 markers. A total of nine linkage groups were assembled covering 727.7 cM, with an average distance of 11.20 cM between framework loci. The sizes of the linkage groups ranged from 56 to 144.6 cM. The linkage map for 'IAPAR 06' consisted of 96 markers, covering 783.5 cM. The average distance between framework loci was 12.2 cM. The length of the nine linkage groups ranged from 20.6 to 144.2 cM. On average, both maps provided 61% genome coverage. Twenty-four loci (8.9%) remained unlinked. Among their many applications, these maps are a starting point for the identification of quantitative trait loci for resistance to the main bacterial disease affecting passion fruit orchards in Brazil, caused by Xanthomonas campestris pv. passiflorae, because parental genotypes exhibit diverse responses to bacterial inoculation.

Chromosome Mapping↗
PubMed2001

Linkage map construction in the outcrossing species Lolium perenne.

Genetic maps have proven useful tools in several fields of application. First of all, they allow to get insight into the genome organization of a species, and to compare the genome structures of different species. Genetic maps are also useful for the identification of genomic regions involved in physiological processes, and are valuable tools for the positional cloning of genes. In the framework of a project with the aim of identifying genomic regions involved in disease resistance in Lolium spp., we constructed genetic maps using different marker systems. In the ryegrass species L. perenne and L. multiflorum self-pollination is prevented by a very efficient self incompatibility system. This has clear implications in mapping studies: inbred lines and double haploids are difficult to produce, and if produced low seed yields are obtained. For this reason, we created several mapping populations by crossing two highly heterozygous unrelated plants. This implies that at any given locus, up to four different alleles might be segregating in the offspring. Different marker systems were used for the construction of the genetic maps. In first instance, AFLP was used as a high throughput marker system. This allowed to generate a high number of DNA-markers useful for map construction in a quick way. The drawback of the AFLP technique is twofold: AFLP markers are 'anonymous', and are dominant (not all alleles at a locus can be detected). Co-dominant marker systems, which allow to detect all alleles present at any locus, are much more informative and are required for the construction of detailed linkage maps in outcrossers. In this study, we used three co-dominant marker systems: SSR, STS and RFLP. The RFLP markers were generated using heterologous probes derived from other monocots, what should allow to analyze the syntenic relationships between ryegrass and other monocots. Using these markers generated with different techniques, a genetic map of ryegrass has been constructed suitable for QTL analysis and comparative genetics.

Chromosome Mapping↗
PubMed2004

Quantitative trait Loci for health traits in Finnish Ayrshire cattle.

A whole-genome scan was conducted to search for quantitative trait loci (QTL) affecting health traits in Finnish Ayrshire dairy cattle. The mapping population consisted of 12 bulls and their 491 sons in a granddaughter design. A total of 150 markers were typed covering all 29 autosomes. The traits under study were somatic cell score, mastitis, and a group of other veterinary treatments. Effects of the QTL and positions were estimated with the regression method. When carrying out interval mapping on each chromosome, cofactors were used to adjust for QTL identified at other chromosomes. Empirical P-values were obtained by permutation. Altogether 17 QTL were detected with genomewise significant P-values in the across family analysis. Quantitative trait loci affecting SCS were identified on chromosomes 1, 3, 11, 18, 21, 24, 27, 29, and QTL for mastitis on chromosomes 14, 18. Quantitative trait loci for other veterinary treatments were found on chromosomes 1, 2, 5, 8, 15, 22, and 23. The allele substitution effects were from 0.5 to 1.7 genetic standard deviations. The positions of these health QTL did not overlap with milk QTL detected in previous studies of the same population.

Animals↗
PubMed2001

Enhanced efficiency of quantitative trait loci mapping analysis based on multivariate complexes of quantitative traits.

An approach to increase the efficiency of mapping quantitative trait loci (QTL) was proposed earlier by the authors on the basis of bivariate analysis of correlated traits. The power of QTL detection using the log-likelihood ratio (LOD scores) grows proportionally to the broad sense heritability. We found that this relationship holds also for correlated traits, so that an increased bivariate heritability implicates a higher LOD score, higher detection power, and better mapping resolution. However, the increased number of parameters to be estimated complicates the application of this approach when a large number of traits are considered simultaneously. Here we present a multivariate generalization of our previous two-trait QTL analysis. The proposed multivariate analogue of QTL contribution to the broad-sense heritability based on interval-specific calculation of eigenvalues and eigenvectors of the residual covariance matrix allows prediction of the expected QTL detection power and mapping resolution for any subset of the initial multivariate trait complex. Permutation technique allows chromosome-wise testing of significance for the whole trait complex and the significance of the contribution of individual traits owing to: (a) their correlation with other traits, (b) dependence on the chromosome in question, and (c) both a and b. An example of application of the proposed method on a real data set of 11 traits from an experiment performed on an F(2)/F(3) mapping population of tetraploid wheat (Triticum durum x T. dicoccoides) is provided.

Chromosome Mapping↗