Resistance gene enrichment sequencing (RenSeq) enables reannotation of the NB-LRR gene family from sequenced plant genomes and rapid mapping of resistance loci in segregating populations.
TL;DR: RenSeq is a NB-LRR (nucleotide binding-site leucine-rich repeat) gene-targeted, Resistance gene enrichment and sequencing method that enables discovery and annotation of pathogen resistance gene family members in plant genome sequences.
Abstract: RenSeq is a NB-LRR (nucleotide binding-site leucine-rich repeat) gene-targeted, Resistance gene enrichment and sequencing method that enables discovery and annotation of pathogen resistance gene family members in plant genome sequences. We successfully applied RenSeq to the sequenced potato Solanum tuberosum clone DM, and increased the number of identified NB-LRRs from 438 to 755. The majority of these identified R gene loci reside in poorly or previously unannotated regions of the genome. Sequence and positional details on the 12 chromosomes have been established for 704 NB-LRRs and can be accessed through a genome browser that we provide. We compared these NB-LRR genes and the corresponding oligonucleotide baits with the highest sequence similarity and demonstrated that ~80% sequence identity is sufficient for enrichment. Analysis of the sequenced tomato S. lycopersicum 'Heinz 1706' extended the NB-LRR complement to 394 loci. We further describe a methodology that applies RenSeq to rapidly identify molecular markers that co-segregate with a pathogen resistance trait of interest. In two independent segregating populations involving the wild Solanum species S. berthaultii (Rpi-ber2) and S. ruiz-ceballosii (Rpi-rzc1), we were able to apply RenSeq successfully to identify markers that co-segregate with resistance towards the late blight pathogen Phytophthora infestans. These SNP identification workflows were designed as easy-to-adapt Galaxy pipelines.
Citations
More filters
TL;DR: It is proposed that NLRs evolved for pathogen-sensing in diverse organisms because the flexible protein domain architecture surrounding the NB-ARC and NACHT domains facilitates evolution of “hair trigger” switches, into which a virtually limitless number of microbial detection platforms can be integrated.
Abstract: BACKGROUND Pathogens cause agricultural devastation and huge economic losses. Up to 30% of our crops are lost before or after harvest to pathogens and pests, wasting water and human effort. Diseases and pests are major problems for sustainable agriculture in the face of population growth. Similarly, microbial infection remains a major cause of human mortality and morbidity, responsible for ~25% of deaths worldwide in 2012. We lack vaccines for several major infectious diseases, and antibiotic resistance is an ever- growing concern. Plant and animal innate immune systems respond to pathogen infection and regulate beneficial interactions with commensal and symbiotic microbes. Plants and animals use intracellular proteins of the nucleotide binding domain (NBD), leucine-rich repeat (NLR) superfamily to detect many kinds of pathogens. Plant and animal NLRs evolved from distinct derivatives of a common ancestral prokaryotic adenosine triphosphatase (ATPase): the NBD shared by APAF-1, plant NLR proteins, and CED-4 (NB-ARC) domain class and that shared by apoptosis inhibitory protein (NAIP), CIITA, HET-E, TP1 (NACHT) domain class, respectively. Animals and fungi can carry both NB-ARC and NACHT domain proteins, but NACHT domain proteins are absent from plants and several animal taxa, such as Drosophila and nematodes. Despite the vast evolutionary distance between plants and animals, we describe trans-kingdom principles of NLR activation. We propose that NLRs evolved for pathogen-sensing in diverse organisms because the flexible protein domain architecture surrounding the NB-ARC and NACHT domains facilitates evolution of “hair trigger” switches, into which a virtually limitless number of microbial detection platforms can be integrated. ADVANCES Structural biology is beginning to shed light on pre- and postactivation NLR architectures. Various detection and activation platforms have evolved in both plant and animal NLR surveillance systems. This spectrum ranges from direct NLR activation, through binding of microbial ligands, to indirect NLR activation after the modification of host cellular targets, or decoys of those targets, by microbial virulence factors. Homo- and heterotypic dimerization and oligomerization of NLRs add complexity to signaling responses and can enable signal amplification. NLR population genomics across the plant and animal kingdoms is increasing owing to application of new capture-based sequencing methods. A more complete catalog of NLR repertoires within and across species will provide an enhanced toolbox for exploiting NLRs to develop therapeutic interventions. OUTLOOK Despite breakthroughs in our molecular understanding of NLR activation, many important questions remain. Biochemical mechanisms of NLR activation remain obscure. Events downstream of plant NLR activation and outputs such as transcription of defense genes, changes in cell permeability, localized cell death, and systemic signaling remain opaque. We do not know whether activated plant NLRs oligomerize or, if they do, how this is achieved, given the diversity of subcellular sites of activation observed for various NLRs. It is not clear whether and how the different N-terminal domains of plant NLRs signal. We have increasing knowledge regarding how animal NLRs assemble and signal, although knowledge gaps remain. Therapeutic interventions in humans targeting NLRs remain on the horizon. Design of novel recognition capabilities and engineering of new or extended NLR functions to counter disease in animals and plants provides tantalizing future goals to address plant and animal health problems worldwide.
755 citations
Cites background or methods from "Resistance gene enrichment sequenci..."
...Sequence capture enables NLR gene enrichment sequencing (RenSeq) (96), and long-read DNA sequencing technology enables reads of complete NLRs to be obtained (97)....
[...]
...Using biotinylatedRNAprobes designed to capture the repertoire of 450 NLRs predicted to be in the reference diploid potato genome, 750 NLRs were identified (96)....
[...]
TL;DR: Enhanced research in the last decade under the umbrella of the Borlaug Global Rust Initiative has identified various race-specific resistance genes that can be utilized, preferably in combinations, to develop resistant varieties.
Abstract: Race Ug99 (TTKSK) of Puccinia graminis f. sp. tritici, detected in Uganda in 1998, has been recognized as a serious threat to food security because it possesses combined virulence to a large number of resistance genes found in current widely grown wheat (Triticum aestivum) varieties and germplasm, leading to its potential for rapid spread and evolution. Since its initial detection, variants of the Ug99 lineage of stem rust have been discovered in Eastern and Southern African countries, Yemen, Iran, and Egypt. To date, eight races belonging to the Ug99 lineage are known. Increased pathogen monitoring activities have led to the identification of other races in Africa and Asia with additional virulence to commercially important resistance genes. This has led to localized but severe stem rust epidemics becoming common once again in East Africa due to the breakdown of race-specific resistance gene SrTmp, which was deployed recently in the 'Digalu' and 'Robin' varieties in Ethiopia and Kenya, respectively. Enhanced research in the last decade under the umbrella of the Borlaug Global Rust Initiative has identified various race-specific resistance genes that can be utilized, preferably in combinations, to develop resistant varieties. Research and development of improved wheat germplasm with complex adult plant resistance (APR) based on multiple slow-rusting genes has also progressed. Once only the Sr2 gene was known to confer slow rusting APR; now, four more genes-Sr55, Sr56, Sr57, and Sr58-have been characterized and additional quantitative trait loci identified. Cloning of some rust resistance genes opens new perspectives on rust control in the future through the development of multiple resistance gene cassettes. However, at present, disease-surveillance-based chemical control, large-scale deployment of new varieties with multiple race-specific genes or adequate levels of APR, and reducing the cultivation of susceptible varieties in rust hot-spot areas remains the best stem rust management strategy.
323 citations
Additional excerpts
...When coupled with mutagenesis, these strategies are likely to greatly accelerate the discovery of additionalwheat rust resistances that are encoded by NBS-LRR genes and, therefore, bypass tedious, conventional map-based cloning approaches (Jupe et al. 2013; Wulff and Moscou 2014)....
[...]
TL;DR: A three-step method (MutRenSeq)-that combines chemical mutagenesis with exome capture and sequencing for rapid R gene cloning is described that was applied to clone stem rust resistance genes Sr22 and Sr45 from hexaploid bread wheat.
Abstract: Wild relatives of domesticated crop species harbor multiple, diverse, disease resistance (R) genes that could be used to engineer sustainable disease control. However, breeding R genes into crop lines often requires long breeding timelines of 5-15 years to break linkage between R genes and deleterious alleles (linkage drag). Further, when R genes are bred one at a time into crop lines, the protection that they confer is often overcome within a few seasons by pathogen evolution. If several cloned R genes were available, it would be possible to pyramid R genes in a crop, which might provide more durable resistance. We describe a three-step method (MutRenSeq)-that combines chemical mutagenesis with exome capture and sequencing for rapid R gene cloning. We applied MutRenSeq to clone stem rust resistance genes Sr22 and Sr45 from hexaploid bread wheat. MutRenSeq can be applied to other commercially relevant crops and their relatives, including, for example, pea, bean, barley, oat, rye, rice and maize.
313 citations
TL;DR: For advancing the field of polyploid population genetics, most priority should be given to development of new molecular approaches that allow efficient dosage determination, and to further development of analytical approaches to circumvent dosage uncertainty and to accommodate ‘flexible’ modes of inheritance.
Abstract: Despite the importance of polyploidy and the increasing availability of new genomic data, there remain important gaps in our knowledge of polyploid population genetics. These gaps arise from the complex nature of polyploid data (e.g. multiple alleles and loci, mixed inheritance patterns, association between ploidy and mating system variation). Furthermore, many of the standard tools for population genetics that have been developed for diploids are often not feasible for polyploids. This review aims to provide an overview of the state-of-the-art in polyploid population genetics and to identify the main areas where further development of molecular techniques and statistical theory is required. We review commonly used molecular tools (amplified fragment length polymorphism, microsatellites, Sanger sequencing, next-generation sequencing and derived technologies) and their challenges associated with their use in polyploid populations: that is, allele dosage determination, null alleles, difficulty of distinguishing orthologues from paralogues and copy number variation. In addition, we review the approaches that have been used for population genetic analysis in polyploids and their specific problems. These problems are in most cases directly associated with dosage uncertainty and the problem of inferring allele frequencies and assumptions regarding inheritance. This leads us to conclude that for advancing the field of polyploid population genetics, most priority should be given to development of new molecular approaches that allow efficient dosage determination, and to further development of analytical approaches to circumvent dosage uncertainty and to accommodate ‘flexible’ modes of inheritance. In addition, there is a need for more simulation-based studies that test what kinds of biases could result from both existing and novel approaches.
300 citations
Cites background from "Resistance gene enrichment sequenci..."
...The approach has also been applied to highly complex gene families (plant resistance genes) to identify not only already known genes but to identify hundreds more copies than had been identified from scans of complete genome sequences (Jupe et al. 2013) and to pull out orthologous sequences from distantly related plant species (potato and tomato)....
[...]
...…gene families (plant resistance genes) to identify not only already known genes but to identify hundreds more copies than had been identified from scans of complete genome sequences (Jupe et al. 2013) and to pull out orthologous sequences from distantly related plant species (potato and tomato)....
[...]
TL;DR: It is hypothesized that NLR-IDs that are revealed provide clues to the host proteins targeted by pathogens, and that this information can be deployed to discover new sources of disease resistance.
Abstract: Plants deploy immune receptors to detect pathogen-derived molecules and initiate defense responses. Intracellular plant immune receptors called nucleotide-binding leucine-rich repeat (NLR) proteins contain a central nucleotide-binding (NB) domain followed by a series of leucine-rich repeats (LRRs), and are key initiators of plant defense responses. However, recent studies demonstrated that NLRs with non-canonical domain architectures play an important role in plant immunity. These composite immune receptors are thought to arise from fusions between NLRs and additional domains that serve as “baits” for the pathogen-derived effector proteins, thus enabling pathogen recognition. Several names have been proposed to describe these proteins, including “integrated decoys” and “integrated sensors”. We adopt and argue for “integrated domains” or NLR-IDs, which describes the product of the fusion without assigning a universal mode of action. We have scanned available plant genome sequences for the full spectrum of NLR-IDs to evaluate the diversity of integrations of potential sensor/decoy domains across flowering plants, including 19 crop species. We manually curated wheat and brassicas and experimentally validated a subset of NLR-IDs in wild and cultivated wheat varieties. We have examined NLR fusions that occur in multiple plant families and identified that some domains show re-occurring integration across lineages. Domains fused to NLRs overlap with previously identified pathogen targets confirming that they act as baits for the pathogen. While some of the integrated domains have been previously implicated in disease resistance, others provide new targets for engineering durable resistance to plant pathogens. We have built a robust reproducible pipeline for detecting variable domain architectures in plant immune receptors across species. We hypothesize that NLR-IDs that we revealed provide clues to the host proteins targeted by pathogens, and that this information can be deployed to discover new sources of disease resistance.
280 citations
Cites methods from "Resistance gene enrichment sequenci..."
...This is necessarily an underestimate since protein annotations of public datasets are often incomplete [46]; therefore, our easily adopted reproducible methodology is key to expanding these analyses even further once more data becomes available....
[...]
References
More filters
TL;DR: A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score.
88,255 citations
TL;DR: Burrows-Wheeler Alignment tool (BWA) is implemented, a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps.
Abstract: Motivation: The enormous amount of short reads generated by the new DNA sequencing technologies call for the development of fast and accurate read alignment programs. A first generation of hash table-based methods has been developed, including MAQ, which is accurate, feature rich and fast enough to align short reads from a single individual. However, MAQ does not support gapped alignment for single-end reads, which makes it unsuitable for alignment of longer reads where indels may occur frequently. The speed of MAQ is also a concern when the alignment is scaled up to the resequencing of hundreds of individuals.
Results: We implemented Burrows-Wheeler Alignment tool (BWA), a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps. BWA supports both base space reads, e.g. from Illumina sequencing machines, and color space reads from AB SOLiD machines. Evaluations on both simulated and real data suggest that BWA is ~10–20× faster than MAQ, while achieving similar accuracy. In addition, BWA outputs alignment in the new standard SAM (Sequence Alignment/Map) format. Variant calling and other downstream analyses after the alignment can be achieved with the open source SAMtools software package.
Availability: http://maq.sourceforge.net
Contact: [email protected]
43,862 citations
TL;DR: A detailed understanding of plant immune function will underpin crop improvement for food, fibre and biofuels production and provide extraordinary insights into molecular recognition, cell biology and evolution across biological kingdoms.
Abstract: Many plant-associated microbes are pathogens that impair plant growth and reproduction. Plants respond to infection using a two-branched innate immune system. The first branch recognizes and responds to molecules common to many classes of microbes, including non-pathogens. The second responds to pathogen virulence factors, either directly or through their effects on host targets. These plant immune systems, and the pathogen molecules to which they respond, provide extraordinary insights into molecular recognition, cell biology and evolution across biological kingdoms. A detailed understanding of plant immune function will underpin crop improvement for food, fibre and biofuels production.
10,539 citations
TL;DR: Velvet represents a new approach to assembly that can leverage very short reads in combination with read pairs to produce useful assemblies and is in close agreement with simulated results without read-pair information.
Abstract: We have developed a new set of algorithms, collectively called "Velvet," to manipulate de Bruijn graphs for genomic sequence assembly. A de Bruijn graph is a compact representation based on short words (k-mers) that is ideal for high coverage, very short read (25-50 bp) data sets. Applying Velvet to very short reads and paired-ends information only, one can produce contigs of significant length, up to 50-kb N50 length in simulations of prokaryotic data and 3-kb N50 on simulated mammalian BACs. When applied to real Solexa data sets without read pairs, Velvet generated contigs of approximately 8 kb in a prokaryote and 2 kb in a mammalian BAC, in close agreement with our simulated results without read-pair information. Velvet represents a new approach to assembly that can leverage very short reads in combination with read pairs to produce useful assemblies.
9,389 citations
"Resistance gene enrichment sequenci..." refers methods in this paper
...Using Velvet (Zerbino and Birney, 2008), all left reads passing quality control of S. berthaultii and S. ruiz-ceballosii were assembled, producing 4368 and 4762 contigs for S. berthaultii and S. ruiz-ceballosii respectively, with a median length above 200nt and an N50 of 429 and 290, respectively (Table S5)....
[...]
...Statistics of Velvet de novo assembly of RenSeq reads....
[...]
...Zerbino, D.R. and Birney, E. (2008) Velvet: algorithms for de novo short read assembly using de Bruijn graphs....
[...]
...Using Velvet (Zerbino and Birney, 2008), all left reads passing quality control of S. berthaultii and S. ruiz-ceballosii were assembled, producing 4368 and 4762 contigs for S. berthaultii and S. ruiz-ceballosii respectively, with a median length above 200nt and an N50 of 429 and 290, respectively…...
[...]
...We randomly selected nine NB-LRR genes, and mapped de novo Velvet-assembled contigs of the DM RenSeq reads to their corresponding reference sequence under relaxed conditions....
[...]
TL;DR: This is the first complete genome sequence of a plant and provides the foundations for more comprehensive comparison of conserved processes in all eukaryotes, identifying a wide range of plant-specific gene functions and establishing rapid systematic ways to identify genes for crop improvement.
Abstract: The flowering plant Arabidopsis thaliana is an important model system for identifying genes and determining their functions. Here we report the analysis of the genomic sequence of Arabidopsis. The sequenced regions cover 115.4 megabases of the 125-megabase genome and extend into centromeric regions. The evolution of Arabidopsis involved a whole-genome duplication, followed by subsequent gene loss and extensive local gene duplications, giving rise to a dynamic genome enriched by lateral gene transfer from a cyanobacterial-like ancestor of the plastid. The genome contains 25,498 genes encoding proteins from 11,000 families, similar to the functional diversity of Drosophila and Caenorhabditis elegans--the other sequenced multicellular eukaryotes. Arabidopsis has many families of new proteins but also lacks several common protein families, indicating that the sets of common proteins have undergone differential expansion and contraction in the three multicellular eukaryotes. This is the first complete genome sequence of a plant and provides the foundations for more comprehensive comparison of conserved processes in all eukaryotes, identifying a wide range of plant-specific gene functions and establishing rapid systematic ways to identify genes for crop improvement.
8,742 citations