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Zia K, Sadaqat M, Ding B, Fatima K, Albekairi NA, Alshammari A, Tahir ul Qamar M. Comparative genomics and bioinformatics approaches revealed the role of CC-NBS-LRR genes under multiple stresses in passion fruit. Front Genet 2024; 15:1358134. [PMID: 38476402 PMCID: PMC10929019 DOI: 10.3389/fgene.2024.1358134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 02/16/2024] [Indexed: 03/14/2024] Open
Abstract
Passion fruit is widely cultivated in tropical, subtropical regions of the world. The attack of bacterial and fungal diseases, and environmental factors heavily affect the yield and productivity of the passion fruit. The CC-NBS-LRR (CNL) gene family being a subclass of R-genes protects the plant against the attack of pathogens and plays a major role in effector-triggered immunity (ETI). However, no information is available regarding this gene family in passion fruit. To address the underlying problem a total of 25 and 21 CNL genes have been identified in the genome of purple (Passiflora edulis Sims.) and yellow (Passiflora edulis f. flavicarpa) passion fruit respectively. Phylogenetic tree was divided into four groups with PeCNLs present in 3 groups only. Gene structure analysis revealed that number of exons ranged from 1 to 9 with 1 being most common. Most of the PeCNL genes were clustered at the chromosome 3 and underwent strong purifying selection, expanded through segmental (17 gene pairs) and tandem duplications (17 gene pairs). PeCNL genes contained cis-elements involved in plant growth, hormones, and stress response. Transcriptome data indicated that PeCNL3, PeCNL13, and PeCNL14 were found to be differentially expressed under Cucumber mosaic virus and cold stress. Three genes were validated to be multi-stress responsive by applying Random Forest model of machine learning. To comprehend the biological functions of PeCNL proteins, their 3D structure and gene ontology (GO) enrichment analysis were done. Our research analyzed the CNL gene family in passion fruit to understand stress regulation and improve resilience. This study lays the groundwork for future investigations aimed at enhancing the genetic composition of passion fruit to ensure robust growth and productivity in challenging environments.
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Affiliation(s)
- Komal Zia
- Integrative Omics and Molecular Modeling Laboratory, Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan
| | - Muhammad Sadaqat
- Integrative Omics and Molecular Modeling Laboratory, Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan
| | - Baopeng Ding
- College of Horticulture, Shanxi Agricultural University, Taigu, Shanxi, China
| | - Kinza Fatima
- Integrative Omics and Molecular Modeling Laboratory, Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan
| | - Norah A. Albekairi
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Abdulrahman Alshammari
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Muhammad Tahir ul Qamar
- Integrative Omics and Molecular Modeling Laboratory, Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan
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Shirai M, Eulgem T. Molecular interactions between the soilborne pathogenic fungus Macrophomina phaseolina and its host plants. FRONTIERS IN PLANT SCIENCE 2023; 14:1264569. [PMID: 37780504 PMCID: PMC10539690 DOI: 10.3389/fpls.2023.1264569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 08/28/2023] [Indexed: 10/03/2023]
Abstract
Mentioned for the first time in an article 1971, the occurrence of the term "Macrophomina phaseolina" has experienced a steep increase in the scientific literature over the past 15 years. Concurrently, incidences of M. phaseolina-caused crop diseases have been getting more frequent. The high levels of diversity and plasticity observed for M. phasolina genomes along with a rich equipment of plant cell wall degrading enzymes, secondary metabolites and putative virulence effectors as well as the unusual longevity of microsclerotia, their asexual reproduction structures, make this pathogen very difficult to control and crop protection against it very challenging. During the past years several studies have emerged reporting on host defense measures against M. phaseolina, as well as mechanisms of pathogenicity employed by this fungal pathogen. While most of these studies have been performed in crop systems, such as soybean or sesame, recently interactions of M. phaseolina with the model plant Arabidopsis thaliana have been described. Collectively, results from various studies are hinting at a complex infection cycle of M. phaseolina, which exhibits an early biotrophic phase and switches to necrotrophy at later time points during the infection process. Consequently, responses of the hosts are complex and seem coordinated by multiple defense-associated phytohormones. However, at this point no robust and strong host defense mechanism against M. phaseolina has been described.
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Affiliation(s)
| | - Thomas Eulgem
- Center for Plant Cell Biology, Institute for Integrative Genome Biology, Department of Botany & Plant Sciences, University of California at Riverside, Riverside, CA, United States
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Frommer B, Müllner S, Holtgräwe D, Viehöver P, Huettel B, Töpfer R, Weisshaar B, Zyprian E. Phased grapevine genome sequence of an Rpv12 carrier for biotechnological exploration of resistance to Plasmopara viticola. FRONTIERS IN PLANT SCIENCE 2023; 14:1180982. [PMID: 37223784 PMCID: PMC10200900 DOI: 10.3389/fpls.2023.1180982] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 04/11/2023] [Indexed: 05/25/2023]
Abstract
The downy mildew disease caused by the oomycete Plasmopara viticola is a serious threat for grapevine and can cause enormous yield losses in viticulture. The quantitative trait locus Rpv12, mediating resistance against P. viticola, was originally found in Asian Vitis amurensis. This locus and its genes were analyzed here in detail. A haplotype-separated genome sequence of the diploid Rpv12-carrier Gf.99-03 was created and annotated. The defense response against P. viticola was investigated in an infection time-course RNA-seq experiment, revealing approximately 600 upregulated Vitis genes during host-pathogen interaction. The Rpv12 regions of the resistance and the sensitivity encoding Gf.99-03 haplotype were structurally and functionally compared with each other. Two different clusters of resistance-related genes were identified within the Rpv12 locus. One cluster carries a set of four differentially expressed genes with three ACCELERATED CELL DEATH 6-like genes. The other cluster carries a set of six resistance gene analogs related to qualitative pathogen resistance. The Rpv12 locus and its candidate genes for P. viticola resistance provide a precious genetic resource for P. viticola resistance breeding. Newly developed co-segregating simple sequence repeat markers in close proximity to the R-genes enable its improved applicability in marker-assisted grapevine breeding.
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Affiliation(s)
- Bianca Frommer
- Genetics and Genomics of Plants, Faculty of Biology and Center for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, Germany
- Computational Biology, Faculty of Biology and Center for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, Germany
| | - Sophia Müllner
- Institute for Grapevine Breeding Geilweilerhof, Julius Kühn-Institute, Siebeldingen, Germany
| | - Daniela Holtgräwe
- Genetics and Genomics of Plants, Faculty of Biology and Center for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, Germany
| | - Prisca Viehöver
- Genetics and Genomics of Plants, Faculty of Biology and Center for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, Germany
| | - Bruno Huettel
- Max Planck-Genome-Centre Cologne, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Reinhard Töpfer
- Institute for Grapevine Breeding Geilweilerhof, Julius Kühn-Institute, Siebeldingen, Germany
| | - Bernd Weisshaar
- Genetics and Genomics of Plants, Faculty of Biology and Center for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, Germany
| | - Eva Zyprian
- Institute for Grapevine Breeding Geilweilerhof, Julius Kühn-Institute, Siebeldingen, Germany
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Yin T, Han P, Xi D, Yu W, Zhu L, Du C, Yang N, Liu X, Zhang H. Genome-wide identification, characterization, and expression profile ofNBS-LRRgene family in sweet orange (Citrussinensis). Gene 2023; 854:147117. [PMID: 36526123 DOI: 10.1016/j.gene.2022.147117] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 12/05/2022] [Accepted: 12/09/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND The NBS-LRR (nucleotide-binding site-leucine-rich repeat gene) gene family, known as the plant R (resistance) gene family with the most members, plays a significant role in plant resistance to various external adversity stresses. The NBS-LRR gene family has been researched in many plant species. Citrus is one of the most vital global cash crops, the number one fruit group, and the third most traded agricultural product world wild. However, as one of the largest citrus species, a comprehensive study of the NBS-LRR gene family has not been reported on sweet oranges. METHODS In this study, NBS-LRR genes were identified from the Citrus sinensis genome (v3.0), with a comprehensive analysis of this gene family performed, including phylogenetic analysis, gene structure, cis-acting element of a promoter, and chromosomal localization, among others. The expression pattern of NBS-LRR genes was analyzed when sweet orange fruits were infected by Penicillium digitatum, employing experimental data from our research group. It first reported the expression patterns of NBS-LRR genes under abiotic stresses, using three transcript data from NCBI (National Center for Biotechnology Information). RESULTS In this study, 111 NBS-LRR genes were identified in the C. sinensis genome (v3.0) and classified into seven subfamilies according to their N-terminal and C-terminal domains. The phylogenetic tree results indicate that genes containing only the NBS structural domain are more ancient in the sweet orange NBS-LRR gene family. The chromosome localization results showed that 111 NBS-LRR genes were distributed unevenly on nine chromosomes, with the most genes distributed on chromosome 1. In addition, we identified a total of 18 tandem duplication gene pairs in the sweet orange NBS-LRR gene family, and based on the Ka/Ks ratio, all of the tandem duplication genes underwent purifying selection. Transcriptome data analysis showed a significant number of NBS-LRR genes expressed under biotic and abiotic stresses, and some reached significantly different levels of expression. It indicates that the NBS-LRR gene family is vital in resistance to biotic and abiotic stresses in sweet oranges. CONCLUSION Our study provides the first comprehensive framework on the NBS-LRR family of genes, which provides a basis for further in-depth studies on the biological functions of NBS-LRR in growth, development, and response to abiotic stresses in sweet orange.
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Affiliation(s)
- Tuo Yin
- Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming 650224, China.
| | - Peichen Han
- Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming 650224, China.
| | - Dengxian Xi
- Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming 650224, China.
| | - Wencai Yu
- Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming 650224, China.
| | - Ling Zhu
- Key Laboratory of Biodiversity Conservation in Southwest China, National Forest and Grassland Administration, Southwest Forestry University, Kunming 650224, China.
| | - Chaojin Du
- Key Laboratory of Biodiversity Conservation in Southwest China, National Forest and Grassland Administration, Southwest Forestry University, Kunming 650224, China.
| | - Na Yang
- Key Laboratory of Biodiversity Conservation in Southwest China, National Forest and Grassland Administration, Southwest Forestry University, Kunming 650224, China.
| | - Xiaozhen Liu
- Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming 650224, China.
| | - Hanyao Zhang
- Key Laboratory of Biodiversity Conservation in Southwest China, National Forest and Grassland Administration, Southwest Forestry University, Kunming 650224, China.
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Advances in Biological Control and Resistance Genes of Brassicaceae Clubroot Disease-The Study Case of China. Int J Mol Sci 2023; 24:ijms24010785. [PMID: 36614228 PMCID: PMC9821010 DOI: 10.3390/ijms24010785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 12/20/2022] [Accepted: 12/21/2022] [Indexed: 01/03/2023] Open
Abstract
Clubroot disease is a soil-borne disease caused by Plasmodiophora brassicae. It occurs in cruciferous crops exclusively, and causes serious damage to the economic value of cruciferous crops worldwide. Although different measures have been taken to prevent the spread of clubroot disease, the most fundamental and effective way is to explore and use disease-resistance genes to breed resistant varieties. However, the resistance level of plant hosts is influenced both by environment and pathogen race. In this work, we described clubroot disease in terms of discovery and current distribution, life cycle, and race identification systems; in particular, we summarized recent progress on clubroot control methods and breeding practices for resistant cultivars. With the knowledge of these identified resistance loci and R genes, we discussed feasible strategies for disease-resistance breeding in the future.
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Moncada MM, Elvir MA, Lopez JR, Ortiz AS. Predicción bioinformática de proteínas NBS-LRR en el genoma de Coffea arabica. BIONATURA 2022. [DOI: 10.21931/rb/2022.07.03.19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Gracias al acceso al genoma completo de Coffea arabica y el Desarrollo de multiples herramientas de bioinformartica que permite la búsqueda de genes de resistencia de plantas (R-genes), ha sido posible implementar estas estrategias en programas de mejora genética. En las plantas, los R-genes codifican proteínas involucradas en mecanismos de defensa contra patógenos. Los genes con dominios tipo Nucleotide-Binding-Site Leucine-Rich-Repeat (NBS-LRR) forman la familia de R-genes de plantas más grande. El objetivo de este estudio fue identificar genes de proteínas NBS-LRR en el genoma de C. arabica utilizando un enfoque bioinformático. Identificamos motivos conservados de R-genes de C. arabica relacionados con genes similares encontrados en Coffea canephora y Coffea eugenoides, dos especies evolutivas relacionadas con C. arabica. Los resultados de estos análisis revelaron proteínas con origen evolutivo provenientes de dicotiledóneo ancestrales, así como proteínas de resistencia específicas del género Coffea. Además, todas las secuencias de los R-genes de C. arabica mostraron una gran similitud con proteína CNL de Arabidopsis thaliana. Finalmente, la presencia de motivos altamente conservados, la distribución cromosómica y las relaciones filogenéticas de los R-genes de C. arabica muestran procesos de coevolución con patógenos adaptados, demostrando de esta manera la importancia del estudio de estos genes en la inmunidad del café.
Palabras clave: Café, NBS-LRR, Proteínas de Resistencia, Bioinformática.
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Affiliation(s)
| | | | | | - Andrés S. Ortiz
- Universidad Nacional Autónoma de Honduras Instituto de Investigaciones en Microbiología
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Gao J, Huang G, Chen X, Zhu YX. PROTEIN S-ACYL TRANSFERASE 13/16 modulate disease resistance by S-acylation of the nucleotide binding, leucine-rich repeat protein R5L1 in Arabidopsis. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2022; 64:1789-1802. [PMID: 35778928 DOI: 10.1111/jipb.13324] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Accepted: 06/29/2022] [Indexed: 05/28/2023]
Abstract
Nucleotide binding, leucine-rich repeat (NB-LRR) proteins are critical for disease resistance in plants, while we do not know whether S-acylation of these proteins plays a role during bacterial infection. We identified 30 Arabidopsis mutants with mutations in NB-LRR encoding genes from the Nottingham Arabidopsis Stock Center and characterized their contribution to the plant immune response after inoculation with Pseudomonas syringae pv tomato DC3000 (Pst DC3000). Of the five mutants that were hyper-susceptible to the pathogen, three (R5L1, R5L2 and RPS5) proteins contain the conserved S-acylation site in the N-terminal coiled-coil (CC) domain. In wild-type (WT) Arabidopsis plants, R5L1 was transcriptionally activated upon pathogen infection, and R5L1 overexpression lines had enhanced resistance. Independent experiments indicated that R5L1 localized at the plasma membrane (PM) via S-acylation of its N-terminal CC domain, which was mediated by PROTEIN S-ACYL TRANSFERASE 13/16 (PAT13, PAT16). Modification of the S-acylation site reduced its affinity for binding the PM, with a consequent significant reduction in bacterial resistance. PM localization of R5L1 was significantly reduced in pat13 and pat16 mutants, similar to what was found for WT plants treated with 2-bromopalmitate, an S-acylation-blocking agent. Transgenic plants expressing R5L1 in the pat13 pat16 double mutant showed no enhanced disease resistance. Overexpression of R5L1 in WT Arabidopsis resulted in substantial accumulation of reactive oxygen species after inoculation with Pst DC3000; this effect was not observed with a mutant R5L1 carrying a mutated S-acylation site. Our data suggest that PAT13- and PAT16-mediated S-acylation of R5L1 is crucial for its membrane localization to activate the plant defense response.
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Affiliation(s)
- Jin Gao
- State Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Peking University, Beijing, 100871, China
| | - Gai Huang
- State Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Peking University, Beijing, 100871, China
| | - Xin Chen
- State Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Peking University, Beijing, 100871, China
| | - Yu-Xian Zhu
- State Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Peking University, Beijing, 100871, China
- Institute for Advanced Studies, Wuhan University, Wuhan, 430072, China
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Rahmani RS, Decap D, Fostier J, Marchal K. BLSSpeller to discover novel regulatory motifs in maize. DNA Res 2022; 29:6651838. [PMID: 35904558 PMCID: PMC9358016 DOI: 10.1093/dnares/dsac029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Indexed: 11/13/2022] Open
Abstract
Abstract
With the decreasing cost of sequencing and availability of larger numbers of sequenced genomes, comparative genomics is becoming increasingly attractive to complement experimental techniques for the task of transcription factor (TF) binding site identification. In this study, we redesigned BLSSpeller, a motif discovery algorithm, to cope with larger sequence datasets. BLSSpeller was used to identify novel motifs in Zea mays in a comparative genomics setting with 16 monocot lineages. We discovered 61 motifs of which 20 matched previously described motif models in Arabidopsis. In addition, novel, yet uncharacterized motifs were detected, several of which are supported by available sequence-based and/or functional data. Instances of the predicted motifs were enriched around transcription start sites and contained signatures of selection. Moreover, the enrichment of the predicted motif instances in open chromatin and TF binding sites indicates their functionality, supported by the fact that genes carrying instances of these motifs were often found to be co-expressed and/or enriched in similar GO functions. Overall, our study unveiled several novel candidate motifs that might help our understanding of the genotype to phenotype association in crops.
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Affiliation(s)
- Razgar Seyed Rahmani
- Department of Plant Biotechnology and Bioinformatics, Ghent University , Gent, Belgium
- Department of Information Technology, IDLab, Ghent University—imec , Gent, Belgium
| | - Dries Decap
- Department of Information Technology, IDLab, Ghent University—imec , Gent, Belgium
| | - Jan Fostier
- Department of Information Technology, IDLab, Ghent University—imec , Gent, Belgium
| | - Kathleen Marchal
- Department of Plant Biotechnology and Bioinformatics, Ghent University , Gent, Belgium
- Department of Information Technology, IDLab, Ghent University—imec , Gent, Belgium
- Department of Biochemistry, Genetics and Microbiology, University of Pretoria , Pretoria, South Africa
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Canaguier A, Guilbaud R, Denis E, Magdelenat G, Belser C, Istace B, Cruaud C, Wincker P, Le Paslier MC, Faivre-Rampant P, Barbe V. Oxford Nanopore and Bionano Genomics technologies evaluation for plant structural variation detection. BMC Genomics 2022; 23:317. [PMID: 35448948 PMCID: PMC9026655 DOI: 10.1186/s12864-022-08499-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Accepted: 03/17/2022] [Indexed: 11/10/2022] Open
Abstract
Background Structural Variations (SVs) are genomic rearrangements derived from duplication, deletion, insertion, inversion, and translocation events. In the past, SVs detection was limited to cytological approaches, then to Next-Generation Sequencing (NGS) short reads and partitioned assemblies. Nowadays, technologies such as DNA long read sequencing and optical mapping have revolutionized the understanding of SVs in genomes, due to the enhancement of the power of SVs detection. This study aims to investigate performance of two techniques, 1) long-read sequencing obtained with the MinION device (Oxford Nanopore Technologies) and 2) optical mapping obtained with Saphyr device (Bionano Genomics) to detect and characterize SVs in the genomes of the two ecotypes of Arabidopsis thaliana, Columbia-0 (Col-0) and Landsberg erecta 1 (Ler-1). Results We described the SVs detected from the alignment of the best ONT assembly and DLE-1 optical maps of A. thaliana Ler-1 against the public reference genome Col-0 TAIR10.1. After filtering (SV > 1 kb), 1184 and 591 Ler-1 SVs were retained from ONT and Bionano technologies respectively. A total of 948 Ler-1 ONT SVs (80.1%) corresponded to 563 Bionano SVs (95.3%) leading to 563 common locations. The specific locations were scrutinized to assess improvement in SV detection by either technology. The ONT SVs were mostly detected near TE and gene features, and resistance genes seemed particularly impacted. Conclusions Structural variations linked to ONT sequencing error were removed and false positives limited, with high quality Bionano SVs being conserved. When compared with the Col-0 TAIR10.1 reference genome, most of the detected SVs discovered by both technologies were found in the same locations. ONT assembly sequence leads to more specific SVs than Bionano one, the latter being more efficient to characterize large SVs. Even if both technologies are complementary approaches, ONT data appears to be more adapted to large scale populations studies, while Bionano performs better in improving assembly and describing specificity of a genome compared to a reference. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-022-08499-4.
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Affiliation(s)
- Aurélie Canaguier
- Université Paris-Saclay, INRAE, Etude du Polymorphisme des Génomes Végétaux EPGV, 91000, Evry-Courcouronnes, France
| | - Romane Guilbaud
- Université Paris-Saclay, INRAE, Etude du Polymorphisme des Génomes Végétaux EPGV, 91000, Evry-Courcouronnes, France
| | - Erwan Denis
- Genoscope, Institut de biologie François-Jacob, Commissariat à l'Energie Atomique CEA, Université Paris-Saclay, Evry, France
| | - Ghislaine Magdelenat
- Genoscope, Institut de biologie François-Jacob, Commissariat à l'Energie Atomique CEA, Université Paris-Saclay, Evry, France
| | - Caroline Belser
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, 91057, Evry, France
| | - Benjamin Istace
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, 91057, Evry, France
| | - Corinne Cruaud
- Genoscope, Institut de biologie François-Jacob, Commissariat à l'Energie Atomique CEA, Université Paris-Saclay, Evry, France
| | - Patrick Wincker
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, 91057, Evry, France
| | - Marie-Christine Le Paslier
- Université Paris-Saclay, INRAE, Etude du Polymorphisme des Génomes Végétaux EPGV, 91000, Evry-Courcouronnes, France
| | - Patricia Faivre-Rampant
- Université Paris-Saclay, INRAE, Etude du Polymorphisme des Génomes Végétaux EPGV, 91000, Evry-Courcouronnes, France.
| | - Valérie Barbe
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, 91057, Evry, France
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Andolfo G, D’Agostino N, Frusciante L, Ercolano MR. The Tomato Interspecific NB-LRR Gene Arsenal and Its Impact on Breeding Strategies. Genes (Basel) 2021; 12:genes12020184. [PMID: 33514027 PMCID: PMC7911644 DOI: 10.3390/genes12020184] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 01/25/2021] [Accepted: 01/26/2021] [Indexed: 11/16/2022] Open
Abstract
Tomato (Solanum lycopersicum L.) is a model system for studying the molecular basis of resistance in plants. The investigation of evolutionary dynamics of tomato resistance (R)-loci provides unique opportunities for identifying factors that promote or constrain genome evolution. Nucleotide-binding domain and leucine-rich repeat (NB-LRR) receptors belong to one of the most plastic and diversified families. The vast amount of genomic data available for Solanaceae and wild tomato relatives provides unprecedented insights into the patterns and mechanisms of evolution of NB-LRR genes. Comparative analysis remarked a reshuffling of R-islands on chromosomes and a high degree of adaptive diversification in key R-loci induced by species-specific pathogen pressure. Unveiling NB-LRR natural variation in tomato and in other Solanaceae species offers the opportunity to effectively exploit genetic diversity in genomic-driven breeding programs with the aim of identifying and introducing new resistances in tomato cultivars. Within this motivating context, we reviewed the repertoire of NB-LRR genes available for tomato improvement with a special focus on signatures of adaptive processes. This issue is still relevant and not thoroughly investigated. We believe that the discovery of mechanisms involved in the generation of a gene with new resistance functions will bring great benefits to future breeding strategies.
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Cui Y, Ge Q, Zhao P, Chen W, Sang X, Zhao Y, Chen Q, Wang H. Rapid Mining of Candidate Genes for Verticillium Wilt Resistance in Cotton Based on BSA-Seq Analysis. FRONTIERS IN PLANT SCIENCE 2021; 12:703011. [PMID: 34691091 PMCID: PMC8531640 DOI: 10.3389/fpls.2021.703011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 08/24/2021] [Indexed: 05/05/2023]
Abstract
Cotton is a globally important cash crop. Verticillium wilt (VW) is commonly known as "cancer" of cotton and causes serious loss of yield and fiber quality in cotton production around the world. Here, we performed a BSA-seq analysis using an F2:3 segregation population to identify the candidate loci involved in VW resistance. Two QTLs (qvw-D05-1 and qvw-D05-2) related to VW resistance in cotton were identified using two resistant/susceptible bulks from the F2 segregation population constructed by crossing the resistant cultivar ZZM2 with the susceptible cultivar J11. A total of 30stop-lost SNPs and 42 stop-gained SNPs, which included 17 genes, were screened in the qvw-D05-2 region by SnpEff analysis. Further analysis of the transcriptome data and qRT-PCR revealed that the expression level of Ghir_D05G037630 (designated as GhDRP) varied significantly at certain time points after infection with V. dahliae. The virus-induced gene silencing of GhDRP resulted in higher susceptibility of the plants to V. dahliae than the control, suggesting that GhDRP is involved in the resistance to V. dahlia infection. This study provides a method for rapid mining of quantitative trait loci and screening of candidate genes, as well as enriches the genomic information and gene resources for the molecular breeding of disease resistance in cotton.
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Affiliation(s)
- Yanli Cui
- Engineering Research Centre of Cotton, Ministry of Education, Xinjiang Agricultural University, Ürümqi, China
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Qun Ge
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Pei Zhao
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Wei Chen
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Xiaohui Sang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Yunlei Zhao
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
- *Correspondence: Yunlei Zhao,
| | - Quanjia Chen
- Engineering Research Centre of Cotton, Ministry of Education, Xinjiang Agricultural University, Ürümqi, China
- Quanjia Chen,
| | - Hongmei Wang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
- Hongmei Wang,
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Barabaschi D, Tondelli A, Valè G, Cattivelli L. Fitness Cost Shapes Differential Evolutionary Dynamics of Disease Resistance Genes in Cultivated and Wild Plants. MOLECULAR PLANT 2020; 13:1352-1354. [PMID: 32916337 DOI: 10.1016/j.molp.2020.09.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 09/01/2020] [Accepted: 09/04/2020] [Indexed: 06/11/2023]
Affiliation(s)
- Delfina Barabaschi
- CREA Research Centre for Genomics and Bioinformatics, Via San Protaso 302, Fiorenzuola d'Arda, 29017, Italy
| | - Alessandro Tondelli
- CREA Research Centre for Genomics and Bioinformatics, Via San Protaso 302, Fiorenzuola d'Arda, 29017, Italy
| | - Giampiero Valè
- DiSIT, Dipartimento di Scienze e Innovazione Tecnologica, University of Piemonte Orientale, Piazza S. Eusebio 5, Vercelli 13100, Italy
| | - Luigi Cattivelli
- CREA Research Centre for Genomics and Bioinformatics, Via San Protaso 302, Fiorenzuola d'Arda, 29017, Italy.
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