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Horton KN, Gassmann W. Greater than the sum of their parts: an overview of the AvrRps4 effector family. FRONTIERS IN PLANT SCIENCE 2024; 15:1400659. [PMID: 38799092 PMCID: PMC11116571 DOI: 10.3389/fpls.2024.1400659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 04/26/2024] [Indexed: 05/29/2024]
Abstract
Phytopathogenic microbes use secreted effector proteins to increase their virulence in planta. If these effectors or the results of their activity are detected by the plant cell, the plant will mount an immune response which applies evolutionary pressure by reducing growth and success of the pathogen. Bacterial effector proteins in the AvrRps4 family (AvrRps4, HopK1, and XopO) have commonly been used as tools to investigate plant immune components. At the same time, the in planta functions of this family of effectors have yet to be fully characterized. In this minireview we summarize current knowledge about the AvrRps4 effector family with emphasis on properties of the proteins themselves. We hypothesize that the HopK1 C-terminus and the AvrRps4 C-terminus, though unrelated in sequence and structure, are broadly related in functions that counteract plant defense responses.
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Affiliation(s)
| | - Walter Gassmann
- Division of Plant Science and Technology, Bond Life Sciences Center, and Interdisciplinary Plant Group, University of Missouri, Columbia, MO, United States
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Mendu L, Jalathge G, Dhillon KK, Singh NP, Balasubramanian VK, Fewou R, Gitz DC, Chen J, Xin Z, Mendu V. Mutation in the Endo-β-1,4-glucanase (KORRIGAN) Is Responsible for Thick Leaf Phenotype in Sorghum. PLANTS (BASEL, SWITZERLAND) 2022; 11:3531. [PMID: 36559643 PMCID: PMC9780866 DOI: 10.3390/plants11243531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Revised: 12/13/2022] [Accepted: 12/13/2022] [Indexed: 06/17/2023]
Abstract
Sorghum [Sorghum bicolor (L.) Moench] is an important crop for food, feed, and fuel production. Particularly, sorghum is targeted for cellulosic ethanol production. Extraction of cellulose from cell walls is a key process in cellulosic ethanol production, and understanding the components involved in cellulose synthesis is important for both fundamental and applied research. Despite the significance in the biofuel industry, the genes involved in sorghum cell wall biosynthesis, modification, and degradation have not been characterized. In this study, we have identified and characterized three allelic thick leaf mutants (thl1, thl2, and thl3). Bulked Segregant Analysis sequencing (BSAseq) showed that the causal mutation for the thl phenotype is in endo-1,4-β-glucanase gene (SbKOR1). Consistent with the causal gene function, the thl mutants showed decreased crystalline cellulose content in the stem tissues. The SbKOR1 function was characterized using Arabidopsis endo-1,4-β-glucanase gene mutant (rsw2-1). Complementation of Arabidopsis with SbKOR1 (native Arabidopsis promoter and overexpression by 35S promoter) restored the radial swelling phenotype of rsw2-1 mutant, proving that SbKOR1 functions as endo-1,4-β-glucanase. Overall, the present study has identified and characterized sorghum endo-1,4-β-glucanase gene function, laying the foundation for future research on cell wall biosynthesis and engineering of sorghum for biofuel production.
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Affiliation(s)
- Lavanya Mendu
- Department of Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT 59717, USA
- Department of Plant and Soil Science, Texas Tech University, Lubbock, TX 79409, USA
| | - Gayani Jalathge
- Department of Plant and Soil Science, Texas Tech University, Lubbock, TX 79409, USA
| | | | - Nagendra Pratap Singh
- Department of Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT 59717, USA
| | | | - Rebecca Fewou
- Faculty of Science, University of Angers, 49000 Angers, France
| | - Dennis C. Gitz
- U. S. Department of Agriculture, Agriculture Research Service, Lubbock, TX 79415, USA
| | - Junping Chen
- U. S. Department of Agriculture, Agriculture Research Service, Lubbock, TX 79415, USA
| | - Zhanguo Xin
- U. S. Department of Agriculture, Agriculture Research Service, Lubbock, TX 79415, USA
| | - Venugopal Mendu
- Department of Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT 59717, USA
- Department of Plant and Soil Science, Texas Tech University, Lubbock, TX 79409, USA
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Chen C, Compton A, Nikolouli K, Wang A, Aryan A, Sharma A, Qi Y, Dellinger C, Hempel M, Potters M, Augustinos A, Severson DW, Bourtzis K, Tu Z. Marker-assisted mapping enables forward genetic analysis in Aedes aegypti, an arboviral vector with vast recombination deserts. Genetics 2022; 222:iyac140. [PMID: 36083009 PMCID: PMC9630976 DOI: 10.1093/genetics/iyac140] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Accepted: 08/29/2022] [Indexed: 11/14/2022] Open
Abstract
Aedes aegypti is a major vector of arboviruses that cause dengue, chikungunya, yellow fever, and Zika. Although recent success in reverse genetics has facilitated rapid progress in basic and applied research, integration of forward genetics with modern technologies remains challenging in this important species, as up to 47% of its chromosome is refractory to genetic mapping due to extremely low rate of recombination. Here, we report the development of a marker-assisted mapping strategy to readily screen for and genotype only the rare but informative recombinants, drastically increasing both the resolution and signal-to-noise ratio. Using marker-assisted mapping, we mapped a transgene that was inserted in a >100-Mb recombination desert and a sex-linked spontaneous red-eye (re) mutation just outside the region. We subsequently determined, by CRISPR/Cas9-mediated knockout, that cardinal is the causal gene of re, which is the first forward genetic identification of a causal gene in Ae. aegypti. The identification of the causal gene of the sex-linked re mutation provides the molecular foundation for using gene editing to develop versatile and stable genetic sexing methods. To facilitate genome-wide forward genetics in Ae. aegypti, we generated and compiled a number of lines with markers throughout the genome. Thus, by overcoming the challenges presented by the vast recombination deserts and the scarcity of markers, we have shown that effective forward genetic analysis is increasingly feasible in this important arboviral vector species.
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Affiliation(s)
- Chujia Chen
- Genetics Bioinformatics and Computational Biology Program, Virginia Tech, Blacksburg, VA 24061, USA
- Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA 24061, USA
| | - Austin Compton
- Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA 24061, USA
- Department of Biochemistry, Virginia Tech, Blacksburg, VA 24061, USA
| | - Katerina Nikolouli
- Insect Pest Control Laboratory, Joint FAO/IAEA Centre of Nuclear Techniques in Food and Agriculture, Department of Nuclear Sciences and Applications, IAEA Laboratories, 2444 Seibersdorf, Austria
| | - Aihua Wang
- Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA 24061, USA
- Department of Biochemistry, Virginia Tech, Blacksburg, VA 24061, USA
| | - Azadeh Aryan
- Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA 24061, USA
- Department of Biochemistry, Virginia Tech, Blacksburg, VA 24061, USA
| | - Atashi Sharma
- Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA 24061, USA
- Department of Biochemistry, Virginia Tech, Blacksburg, VA 24061, USA
| | - Yumin Qi
- Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA 24061, USA
- Department of Biochemistry, Virginia Tech, Blacksburg, VA 24061, USA
| | - Camden Dellinger
- Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA 24061, USA
- Department of Biochemistry, Virginia Tech, Blacksburg, VA 24061, USA
| | - Melanie Hempel
- Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA 24061, USA
- Department of Biochemistry, Virginia Tech, Blacksburg, VA 24061, USA
| | - Mark Potters
- Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA 24061, USA
- Department of Biochemistry, Virginia Tech, Blacksburg, VA 24061, USA
| | - Antonios Augustinos
- Insect Pest Control Laboratory, Joint FAO/IAEA Centre of Nuclear Techniques in Food and Agriculture, Department of Nuclear Sciences and Applications, IAEA Laboratories, 2444 Seibersdorf, Austria
| | - David W Severson
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556, USA
| | - Kostas Bourtzis
- Insect Pest Control Laboratory, Joint FAO/IAEA Centre of Nuclear Techniques in Food and Agriculture, Department of Nuclear Sciences and Applications, IAEA Laboratories, 2444 Seibersdorf, Austria
| | - Zhijian Tu
- Genetics Bioinformatics and Computational Biology Program, Virginia Tech, Blacksburg, VA 24061, USA
- Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA 24061, USA
- Department of Biochemistry, Virginia Tech, Blacksburg, VA 24061, USA
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Majeed A, Johar P, Raina A, Salgotra RK, Feng X, Bhat JA. Harnessing the potential of bulk segregant analysis sequencing and its related approaches in crop breeding. Front Genet 2022; 13:944501. [PMID: 36003337 PMCID: PMC9393495 DOI: 10.3389/fgene.2022.944501] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Accepted: 06/28/2022] [Indexed: 12/26/2022] Open
Abstract
Most plant traits are governed by polygenes including both major and minor genes. Linkage mapping and positional cloning have contributed greatly to mapping genomic loci controlling important traits in crop species. However, they are low-throughput, time-consuming, and have low resolution due to which their efficiency in crop breeding is reduced. In this regard, the bulk segregant analysis sequencing (BSA-seq) and its related approaches, viz., quantitative trait locus (QTL)-seq, bulk segregant RNA-Seq (BSR)-seq, and MutMap, have emerged as efficient methods to identify the genomic loci/QTLs controlling specific traits at high resolution, accuracy, reduced time span, and in a high-throughput manner. These approaches combine BSA with next-generation sequencing (NGS) and enable the rapid identification of genetic loci for qualitative and quantitative assessments. Many previous studies have shown the successful identification of the genetic loci for different plant traits using BSA-seq and its related approaches, as discussed in the text with details. However, the efficiency and accuracy of the BSA-seq depend upon factors like sequencing depth and coverage, which enhance the sequencing cost. Recently, the rapid reduction in the cost of NGS together with the expected cost reduction of third-generation sequencing in the future has further increased the accuracy and commercial applicability of these approaches in crop improvement programs. This review article provides an overview of BSA-seq and its related approaches in crop breeding together with their merits and challenges in trait mapping.
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Affiliation(s)
- Aasim Majeed
- School of Agricultural Biotechnology, Punjab Agriculture University (PAU), Ludhiana, India
| | - Prerna Johar
- School of Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Jammu, India
| | - Aamir Raina
- Department of Botany, Faculty of Life Sciences, Aligarh Muslim University, Aligarh, India
| | - R. K. Salgotra
- School of Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Jammu, India
| | | | - Javaid Akhter Bhat
- Zhejiang Lab, Hangzhou, China
- International Genome Center, Jiangsu University, Zhenjiang, China
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He Y, Li S, Dong Y, Zhang X, Li D, Liu Y, Chen H. Fine mapping and characterization of the dominant gene SmFTSH10 conferring non-photosensitivity in eggplant (Solanum melongena L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:2187-2196. [PMID: 35668203 DOI: 10.1007/s00122-022-04078-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 03/07/2022] [Indexed: 06/15/2023]
Abstract
A candidate non photosensitive gene S m F TS H10 was identified by combining bulked segregant analysis and map‑based cloning. Low light condition often leads to poor coloration of photosensitive eggplant. Here, we obtained a non-photosensitive eggplant that can synthesize large amount of anthocyanin under shading conditions. Genetic analysis of F1 and F2 populations revealed that the phenotype of non-photosensitivity was regulated by a single dominant nuclear gene, herein temporarily designated SmFTSH10. Through Bulked segregant analysis (BSA), SNP haplotyping and fine genetic mapping delimited SmFTSH10 to a 290 kb region of eggplant chromosome 10 flanking by markers dCAPS21 and dCAPS32. Sequence analysis revealed C-base deletion in the fourth exon of SmFTSH10 resulted in premature termination of translation. The expression level of SmFTSH10 decreased significantly in anthocyanin-rich parts of mutant '145' compared with the wild-type 'LSHX'. Sequencing of 10 recombinants revealed that the C-base deletion in the 4th exon of SmFTSH10 was co-segregated with the non-photosensitive phenotype, and the sequencing analysis of the natural population of eggplant also showed that the Indel in SmFTSH10 had a high accuracy in the identification of the photosensitivity of eggplant. Light-responsive expression patterns analysis suggests that it has the same expression trend as the genes involved in eggplant anthocyanin biosynthesis, which supports SmFTSH10 as the most possible candidate gene of non-photosensitivity. These findings provide a new insight into understanding the molecular mechanisms of anthocyanin biosynthesis in non-photosensitive eggplant.
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Affiliation(s)
- YongJun He
- School of Agriculture and Biology, Shanghai JiaoTong University, 800 Dongchuan Road, Minhang District, Shanghai, 200240, China
| | - ShaoHang Li
- School of Agriculture and Biology, Shanghai JiaoTong University, 800 Dongchuan Road, Minhang District, Shanghai, 200240, China
| | - YanXiao Dong
- School of Agriculture and Biology, Shanghai JiaoTong University, 800 Dongchuan Road, Minhang District, Shanghai, 200240, China
| | - XinTong Zhang
- School of Agriculture and Biology, Shanghai JiaoTong University, 800 Dongchuan Road, Minhang District, Shanghai, 200240, China
| | - DaLu Li
- School of Agriculture and Biology, Shanghai JiaoTong University, 800 Dongchuan Road, Minhang District, Shanghai, 200240, China
| | - Yang Liu
- School of Agriculture and Biology, Shanghai JiaoTong University, 800 Dongchuan Road, Minhang District, Shanghai, 200240, China.
| | - HuoYing Chen
- School of Agriculture and Biology, Shanghai JiaoTong University, 800 Dongchuan Road, Minhang District, Shanghai, 200240, China.
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Guan W, Shan J, Gao M, Guo J, Wu D, Zhang Q, Wang J, Chen R, Du B, Zhu L, He G. Bulked Segregant RNA Sequencing Revealed Difference Between Virulent and Avirulent Brown Planthoppers. FRONTIERS IN PLANT SCIENCE 2022; 13:843227. [PMID: 35498688 PMCID: PMC9047503 DOI: 10.3389/fpls.2022.843227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/25/2021] [Accepted: 03/08/2022] [Indexed: 06/14/2023]
Abstract
The brown planthopper (Nilaparvata lugens Stål, BPH) is one of the most devastating insect pests of rice (Oryza sativa L.), but BPH populations have varying degrees of virulence to rice varieties carrying different resistance genes. To help efforts to characterize these variations we applied bulked segregant RNA sequencing (BSR-seq) to identify differentially expressed genes (DEGs) and genetic loci associated with BPH virulence to YHY15 rice plants carrying the resistance gene Bph15. BPHs that are highly virulent or avirulent to these plants were selected from an F2 population to form two contrasting bulks, and BSR-seq identified 751 DEGs between the bulks. Genes associated with carbohydrate, amino acid and nucleotide metabolism, the endocrine system, and signal transduction were upregulated in the avirulent insects when they fed on these plants. The results also indicated that shifts in lipid metabolism and digestive system pathways were crucial for the virulent BPHs' adaptation to the resistant rice. We identified 24 single-nucleotide polymorphisms (SNPs) in 21 genes linked with BPH virulence. Possible roles of genes apparently linked to BPH virulence are discussed. Our results provide potentially valuable information for further studies of BPH virulence mechanisms and development of robust control strategies.
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Huang L, Tang W, Wu W. Optimization of BSA-seq experiment for QTL mapping. G3 GENES|GENOMES|GENETICS 2022; 12:6428533. [PMID: 34791194 PMCID: PMC8727994 DOI: 10.1093/g3journal/jkab370] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 10/19/2021] [Indexed: 11/12/2022]
Abstract
Abstract
Deep sequencing-based bulked segregant analysis (BSA-seq) has become a popular approach for quantitative trait loci (QTL) mapping in recent years. Effective statistical methods for BSA-seq have been developed, but how to design a suitable experiment for BSA-seq remains unclear. In this paper, we show in theory how the major experimental factors (including population size, pool proportion, pool balance, and generation) and the intrinsic factors of a QTL (including heritability and degree of dominance) affect the power of QTL detection and the precision of QTL mapping in BSA-seq. Increasing population size can improve the power and precision, depending on the QTL heritability. The best proportion of each pool in the population is around 0.25. So, 0.25 is generally applicable in BSA-seq. Small pool proportion can greatly reduce the power and precision. Imbalance of pool pair in size also causes decrease of the power and precision. Additive effect is more important than dominance effect for QTL mapping. Increasing the generation of filial population produced by selfing can significantly increase the power and precision, especially from F2 to F3. These findings enable researchers to optimize the experimental design for BSA-seq. A web-based program named BSA-seq Design Tool is available at http://124.71.74.135/BSA-seqDesignTool/ and https://github.com/huanglikun/BSA-seqDesignTool.
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Affiliation(s)
- Likun Huang
- Fujian Key Laboratory of Crop Breeding by Design, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
| | - Weiqi Tang
- Institute of Oceanography, Marine Biotechnology Center, Minjiang University, Fuzhou, Fujian 350108, China
| | - Weiren Wu
- Fujian Key Laboratory of Crop Breeding by Design, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
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Cheng Z, Liu Z, Xu Y, Ma L, Chen J, Gou J, Su L, Wu W, Chen Y, Yu W, Wang P. Fine mapping and identification of the candidate gene BFS for fruit shape in wax gourd (Benincasa hispida). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:3983-3995. [PMID: 34480584 DOI: 10.1007/s00122-021-03942-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 08/18/2021] [Indexed: 05/18/2023]
Abstract
Non-synonymous mutations in the BFS gene, which encodes the IQD protein, are responsible for the shape of wax gourd fruits. Fruit shape is an important agronomic trait in wax gourds. Therefore, in this study, we employed bulked segregant analysis (BSA) to identify a candidate gene for fruit shape in wax gourds within F2 populations derived by crossing GX-71 (long cylindrical fruit, fruit shape index = 4.56) and MY-1 (round fruit, fruit shape index = 1.06) genotypes. According to BSA, the candidate gene is located in the 17.18 Mb region on chromosome 2. Meanwhile, kompetitive allele-specific PCR (KASP) markers were used to reduce it to a 19.6 Kb region. Only one gene was present within the corresponding region of the reference genome, namely Bch02G016830 (designated BFS). Subsequently, BFS was sequenced in six wax gourd varieties with different fruit shapes. Sequence analysis revealed two non-synonymous mutations in the round wax gourd and one non-synonymous mutation in the cylindrical wax gourd. Quantitative real‑time PCR (qRT-PCR) analysis further showed that the expression of BFS in round fruits was significantly higher than in long cylindrical fruits at the ovary formation stage. Therefore, BFS is a candidate gene for determination wax gourd shape. The predicted protein encoded by the BFS gene belongs to the IQ67-domain protein family, which have the structural characteristics of scaffold proteins and coordinate Ca2+ CaM signaling from the membrane to the nucleus. Ultimately, two derived cleaved amplified polymorphic sequence (dCAPS) markers were developed to facilitate marker-assisted selection for wax gourds breeding.
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Affiliation(s)
- Zhikui Cheng
- College of Agriculture, Guangxi University, Guangxi, 530004, China
| | - Zhengguo Liu
- College of Agriculture, Guangxi University, Guangxi, 530004, China
| | - Yuanchao Xu
- SinoDutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Lianlian Ma
- College of Agriculture, Guangxi University, Guangxi, 530004, China
| | - Jieying Chen
- College of Agriculture, Guangxi University, Guangxi, 530004, China
| | - Jiquan Gou
- College of Agriculture, Guangxi University, Guangxi, 530004, China
| | - Liwen Su
- College of Agriculture, Guangxi University, Guangxi, 530004, China
| | - Wenting Wu
- College of Agriculture, Guangxi University, Guangxi, 530004, China
| | - Yong Chen
- Institute for New Rural Development, Guangxi University, Guangxi, 530004, China
| | - Wenjin Yu
- College of Agriculture, Guangxi University, Guangxi, 530004, China
| | - Peng Wang
- College of Agriculture, Guangxi University, Guangxi, 530004, China.
- Institute of Vegetables, Guangxi Academy of Agricultural Sciences, Guangxi, 530004, China.
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