20 research outputs found

    Identification and characterisation of stripe rust resistance genes Yr66 and Yr67 in wheat cultivar VL Gehun 892

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    Wheat cultivar VL Gehun 892 has shown a high level of resistance against Australian Puccinia striiformis f. sp. tritici (Pst) pathotypes. In this study, it was crossed with Westonia, a susceptible wheat cultivar, and digenic segregation was observed in the derived population against Pst pathotype 134 E16A+Yr17+Yr27+. Single-gene recombinant inbred line (RIL) populations were developed from F3 families (VL Gehun 892/Westonia#1 and VLGehun 892/Westonia#4) that showed monogenic segregations with two distinct phenotypes. Single-gene segregation against Pst pathotype 134 E16A+Yr17+Yr27+ was confirmed in both F6 RIL populations. Bulked segregant analysis using a 90K Infinium SNP array placed YrVL1 in the short arm of chromosome 3D and YrVL2 in the long arm of chromosome 7B. Kompetitive allele specific polymerase chain reaction (KASP) assays were developed for the SNPs linked with YrVL1 and YrVL2 and were mapped onto the respective populations. KASP_48179 (0.6 cM proximal) and KASP_18087 (2.1 cM distal) flanked YrVL1, whereas YrVL2 was mapped between KASP_37096 (1.2 cM proximal) and KASP_2239 (3.6 cM distal). Based on their pathotypic specificities, map locations, and stages of expression, YrVL1 and YrVL2 were demonstrated to be unique loci and named Yr66 and Yr67, respectively. Markers linked with these genes showed more than 85% polymorphism when tested on a set of 89 Australian cultivars and hence could be used for the marker-assisted selection of these genes in wheat breeding programs, following checks of parental polymorphisms

    A haplotype map of allohexaploid wheat reveals distinct patterns of selection on homoeologous genomes

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    BACKGROUND: Bread wheat is an allopolyploid species with a large, highly repetitive genome. To investigate the impact of selection on variants distributed among homoeologous wheat genomes and to build a foundation for understanding genotype-phenotype relationships, we performed population-scale re-sequencing of a diverse panel of wheat lines. RESULTS: A sample of 62 diverse lines was re-sequenced using the whole exome capture and genotyping-by-sequencing approaches. We describe the allele frequency, functional significance, and chromosomal distribution of 1.57 million single nucleotide polymorphisms and 161,719 small indels. Our results suggest that duplicated homoeologous genes are under purifying selection. We find contrasting patterns of variation and inter-variant associations among wheat genomes; this, in addition to demographic factors, could be explained by differences in the effect of directional selection on duplicated homoeologs. Only a small fraction of the homoeologous regions harboring selected variants overlapped among the wheat genomes in any given wheat line. These selected regions are enriched for loci associated with agronomic traits detected in genome-wide association studies. CONCLUSIONS: Evidence suggests that directional selection in allopolyploids rarely acted on multiple parallel advantageous mutations across homoeologous regions, likely indicating that a fitness benefit could be obtained by a mutation at any one of the homoeologs. Additional advantageous variants in other homoelogs probably either contributed little benefit, or were unavailable in populations subjected to directional selection. We hypothesize that allopolyploidy may have increased the likelihood of beneficial allele recovery by broadening the set of possible selection targets

    Major intrinsic proteins (MIPs) in plants: a complex gene family with major impacts on plant phenotype

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    The ubiquitous cell membrane proteins called aquaporins are now firmly established as channel proteins that control the specific transport of water molecules across cell membranes in all living organisms. The aquaporins are thus likely to be of fundamental significance to all facets of plant growth and development affected by plant-water relations. A majority of plant aquaporins have been found to share essential structural features with the human aquaporin and exhibit water-transporting ability in various functional assays, and some have been shown experimentally to be of critical importance to plant survival. Furthertnore, substantial evidence is now available from a number of plant species that shows differential gene expression of aquaporins in response to abiotic stresses such as salinity, drought, or cold and clearly establishes the aquaporins as major players in the response of plants to conditions that affect water availability. This review summarizes the function and regulation of these genes to develop a greater understanding of the response of plants to water insufficiency, and particularly, to identify tolerant. genotypes of major crop species including wheat and rice and plants that are important in agroforestry

    Physical mapping of wheat aquaporin genes

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    Aquaporins are water channel proteins that control the flow of water across cellular membranes and play vital roles in all aspects of plant-water relations. Our previous identification of 35 wheat PIP and TIP aquaporin genes showed they formed a large family with many conserved features that are thought to be important in structure and function. The present work focussed on determining the positions of these genes in the wheat genome in order to help investigate their functions in water uptake and transport. Genomic locations of wheat PIPs and TIPs were predicted using a number of reported rice-wheat comparative maps and additional in silico approaches. Physical mapping of select genes utilising aneuploid stocks and progenitor DNAs placed these on chromosomes 2B, 2D, 6B and 7B and helped to clarify the individual genes and homoeologues. The compilation of all in silico and physical mapping work confirmed many of the orthologous relationships between wheat and rice and/or barley genes, and synteny in the related areas of genome. These results further reinforce that wheat PIP and TIP proteins are most likely to have similar functions to those closely related in rice, including water permeability and abiotic stress response, and provide important tools for future investigations into the involvement of this complex gene family in traits related to plant-water relations and osmotic stress response

    The PIP and TIP aquaporins in wheat form a large and diverse family with unique gene structures and functionally important features

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    Aquaporins, members of major intrinsic proteins (MIPs), transport water across cellular membranes and play vital roles in all organisms. Adversities such as drought, salinity, or chilling affect water uptake and transport, and numerous plant MIPs are reported to be differentially regulated under such stresses. However, MIP genes have been not yet been characterized in wheat, the largest cereal crop. We have identified 24 PIP and 11 TIP aquaporin genes from wheat by gene isolation and database searches. They vary extensively in lengths, numbers, and sequences of exons and introns, and sequences and cellular locations of predicted proteins, but the intron positions (if present) are characteristic. The putative PIP proteins show a high degree of conservation of signature sequences or residues for membrane integration, water transport, and regulation. The TIPs are more diverse, some with potential for water transport and others with various selectivity filters including a new combination. Most genes appear to be expressed as expressed sequence tags, while two are likely pseudogenes. Many of the genes are highly identical to rice but some are unique, and many correspond to genes that show differential expression under salinity and/or drought. The results provide extensive information for functional studies and developing markers for stress tolerance

    Molecular mapping of all-stage stripe rust resistance in Indian wheat (Triticum aestivum) cultivar ‘VL404’

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    Puccinia striiformis f. sp. tritici (Pst), the causal agent of stripe rust of wheat, is a highly evolving fungal pathogen and several widely deployed stripe rust resistance genes have been overcome worldwide often through single step increase in virulence. Development of stripe rust resistant cultivars depends on the availability of widely effective sources of resistance. An Indian wheat cultivar ‘VL404’ exhibited high level of resistance against Australian Pst pathotypes. ‘VL404’ was crossed with a susceptible genotype Avocet ‘S’ (AvS) and an F6 recombinant inbred line (RIL) population was developed. The VL404/AvS RIL population was evaluated at the seedling stage against three Pst pathotypes differing in their virulence profiles. Monogenic segregation for stripe rust response variation was observed in this population and the resistance locus was tentatively named YrVL. Incorporation of stripe rust data into the VL404/AvS genetic map constructed using 40K Wheat-Barley Illumina XT single-nucleotide polymorphism (SNP) array placed YrVL in the long arm of chromosome 2B in the 769.1–779.3 Mb region of the Chinese Spring physical map. YrVL was aligned with the previously reported genes in chromosome 2BL (Yr43, Yr72 and YrAW12) using Pretzel, and it was placed distal to all these genes. Hence, YrVL appears to represent a new resistance locus

    Comparative analysis of syntenic genes in grass genomes reveals accelerated rates of gene structure and coding sequence evolution in polyploid wheat

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    Citation: Akhunov, E., . . . & Gill, B. (2013). Comparative Analysis of Syntenic Genes in Grass Genomes Reveals Accelerated Rates of Gene Structure and Coding Sequence Evolution in Polyploid Wheat. Plant Physiology, 161(1), 252-265. https://doi.org/10.1104/pp.112.205161Cycles of whole-genome duplication (WGD) and diploidization are hallmarks of eukaryotic genome evolution and speciation. Polyploid wheat (Triticum aestivum) has had a massive increase in genome size largely due to recent WGDs. How these processes may impact the dynamics of gene evolution was studied by comparing the patterns of gene structure changes, alternative splicing (AS), and codon substitution rates among wheat and model grass genomes. In orthologous gene sets, significantly more acquired and lost exonic sequences were detected in wheat than in model grasses. In wheat, 35% of these gene structure rearrangements resulted in frame-shift mutations and premature termination codons. An increased codon mutation rate in the wheat lineage compared with Brachypodium distachyon was found for 17% of orthologs. The discovery of premature termination codons in 38% of expressed genes was consistent with ongoing pseudogenization of the wheat genome. The rates of AS within the individual wheat subgenomes (21%–25%) were similar to diploid plants. However, we uncovered a high level of AS pattern divergence between the duplicated homeologous copies of genes. Our results are consistent with the accelerated accumulation of AS isoforms, nonsynonymous mutations, and gene structure rearrangements in the wheat lineage, likely due to genetic redundancy created by WGDs. Whereas these processes mostly contribute to the degeneration of a duplicated genome and its diploidization, they have the potential to facilitate the origin of new functional variations, which, upon selection in the evolutionary lineage, may play an important role in the origin of novel traits

    Exome sequence genotype imputation in globally diverse hexaploid wheat accessions

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    Key message: Imputing genotypes from the 90K SNP chip to exome sequence in wheat was moderately accurate. We investigated the factors that affect imputation and propose several strategies to improve accuracy. Abstract: Imputing genetic marker genotypes from low to high density has been proposed as a cost-effective strategy to increase the power of downstream analyses (e.g. genome-wide association studies and genomic prediction) for a given budget. However, imputation is often imperfect and its accuracy depends on several factors. Here, we investigate the effects of reference population selection algorithms, marker density and imputation algorithms (Beagle4 and FImpute) on the accuracy of imputation from low SNP density (9K array) to the Infinium 90K single-nucleotide polymorphism (SNP) array for a collection of 837 hexaploid wheat Watkins landrace accessions. Based on these results, we then used the best performing reference selection and imputation algorithms to investigate imputation from 90K to exome sequence for a collection of 246 globally diverse wheat accessions. Accession-to-nearest-entry and genomic relationship-based methods were the best performing selection algorithms, and FImpute resulted in higher accuracy and was more efficient than Beagle4. The accuracy of imputing exome capture SNPs was comparable to imputing from 9 to 90K at approximately 0.71. This relatively low imputation accuracy is in part due to inconsistency between 90K and exome sequence formats. We also found the accuracy of imputation could be substantially improved to 0.82 when choosing an equivalent number of exome SNP, instead of 90K SNPs on the existing array, as the lower density set. We present a number of recommendations to increase the accuracy of exome imputation

    Adult plant stem rust resistance in durum wheat Glossy Huguenot: Mapping, marker development and validation

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    An F3 population from a Glossy Huguenot (GH)/Bansi cross used in a previous Australian study was advanced to F6 for molecular mapping of adult plant stem rust resistance. Maturity differences among F6 lines confounded assessments of stem rust response. GH was crossed with a stem rust susceptible F6 recombinant inbred line (RIL), GHB14 (M14), with similar maturity and an F6:7 population was developed through single seed descent method. F7 and F8 RILs were tested along with the parents at different locations. The F6 individual plants and both parents were genotyped using the 90 K single nucleotide polymorphism (SNP) wheat array. Stem rust resistance QTL on the long arms of chromosomes 1B (QSrGH.cs-1BL) and 2A (QSrGH.cs-2AL) were detected. QSrGH.cs-1BL and QSrGH.cs-2AL were both contributed by GH and explained 22% and 18% adult plant stem rust response variation, respectively, among GH/M14 RIL population. RILs carrying combinations of these QTL reduced more than 14% stem rust severity compared to those that possessed QSrGH.cs-1BL and QSrGH.cs-2AL individually. QSrGH.cs1BL was demonstrated to be the same as Sr58/Lr46/Yr29/Pm39 through marker genotyping. Lines lacking QSrGH.cs-1BL were used to Mendelise QSrGH.cs-2AL. Based on genomic locations of previously catalogued stem rust resistance genes and the QSrGH.cs-2AL map, it appeared to represent a new APR locus and was permanently named Sr63. SNP markers associated with Sr63 were converted to kompetetive allele-specific PCR (KASP) assays and were validated on a set of durum cultivars
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