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Ambalavanan A, Mallikarjuna MG, Bansal S, Bashyal BM, Subramanian S, Kumar A, Prakash G. Genome-wide characterization of the NBLRR gene family provides evolutionary and functional insights into blast resistance in pearl millet (Cenchrus americanus (L.) Morrone). PLANTA 2024; 259:143. [PMID: 38704489 DOI: 10.1007/s00425-024-04413-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 04/14/2024] [Indexed: 05/06/2024]
Abstract
MAIN CONCLUSION The investigation is the first report on genome-wide identification and characterization of NBLRR genes in pearl millet. We have shown the role of gene loss and purifying selection in the divergence of NBLRRs in Poaceae lineage and candidate CaNBLRR genes for resistance to Magnaporthe grisea infection. Plants have evolved multiple integral mechanisms to counteract the pathogens' infection, among which plant immunity through NBLRR (nucleotide-binding site, leucine-rich repeat) genes is at the forefront. The genome-wide mining in pearl millet (Cenchrus americanus (L.) Morrone) revealed 146 CaNBLRRs. The variation in the branch length of NBLRRs showed the dynamic nature of NBLRRs in response to evolving pathogen races. The orthology of NBLRRs showed a predominance of many-to-one orthologs, indicating the divergence of NBLRRs in the pearl millet lineage mainly through gene loss events followed by gene gain through single-copy duplications. Further, the purifying selection (Ka/Ks < 1) shaped the expansion of NBLRRs within the lineage of pear millet and other members of Poaceae. Presence of cis-acting elements, viz. TCA element, G-box, MYB, SARE, ABRE and conserved motifs annotated with P-loop, kinase 2, RNBS-A, RNBS-D, GLPL, MHD, Rx-CC and LRR suggests their putative role in disease resistance and stress regulation. The qRT-PCR analysis in pearl millet lines showing contrasting responses to Magnaporthe grisea infection identified CaNBLRR20, CaNBLRR33, CaNBLRR46 CaNBLRR51, CaNBLRR78 and CaNBLRR146 as putative candidates. Molecular docking showed the involvement of three and two amino acid residues of LRR domains forming hydrogen bonds (histidine, arginine and threonine) and salt bridges (arginine and lysine) with effectors. Whereas 14 and 20 amino acid residues of CaNBLRR78 and CaNBLRR20 showed hydrophobic interactions with 11 and 9 amino acid residues of effectors, Mg.00g064570.m01 and Mg.00g006570.m01, respectively. The present investigation gives a comprehensive overview of CaNBLRRs and paves the foundation for their utility in pearl millet resistance breeding through understanding of host-pathogen interactions.
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Affiliation(s)
- Aruljothi Ambalavanan
- Division of Plant Pathology, ICAR Indian Agricultural Research Institute, New Delhi, 110012, India
| | | | - Shilpi Bansal
- Division of Plant Pathology, ICAR Indian Agricultural Research Institute, New Delhi, 110012, India
- Department of Science and Humanities, SRM Institute of Science and Technology, Modinagar, Uttar Pradesh, 201204, India
| | - Bishnu Maya Bashyal
- Division of Plant Pathology, ICAR Indian Agricultural Research Institute, New Delhi, 110012, India
| | - Sabtharishi Subramanian
- Division of Entomology, ICAR Indian Agricultural Research Institute, New Delhi, 110012, India
| | - Aundy Kumar
- Division of Plant Pathology, ICAR Indian Agricultural Research Institute, New Delhi, 110012, India
| | - Ganesan Prakash
- Division of Plant Pathology, ICAR Indian Agricultural Research Institute, New Delhi, 110012, India.
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Mohaimin AZ, Krishnamoorthy S, Shivanand P. A critical review on bioaerosols-dispersal of crop pathogenic microorganisms and their impact on crop yield. Braz J Microbiol 2024; 55:587-628. [PMID: 38001398 PMCID: PMC10920616 DOI: 10.1007/s42770-023-01179-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 11/07/2023] [Indexed: 11/26/2023] Open
Abstract
Bioaerosols are potential sources of pathogenic microorganisms that can cause devastating outbreaks of global crop diseases. Various microorganisms, insects and viroids are known to cause severe crop diseases impeding global agro-economy. Such losses threaten global food security, as it is estimated that almost 821 million people are underfed due to global crisis in food production. It is estimated that global population would reach 10 billion by 2050. Hence, it is imperative to substantially increase global food production to about 60% more than the existing levels. To meet the increasing demand, it is essential to control crop diseases and increase yield. Better understanding of the dispersive nature of bioaerosols, seasonal variations, regional diversity and load would enable in formulating improved strategies to control disease severity, onset and spread. Further, insights on regional and global bioaerosol composition and dissemination would help in predicting and preventing endemic and epidemic outbreaks of crop diseases. Advanced knowledge of the factors influencing disease onset and progress, mechanism of pathogen attachment and penetration, dispersal of pathogens, life cycle and the mode of infection, aid the development and implementation of species-specific and region-specific preventive strategies to control crop diseases. Intriguingly, development of R gene-mediated resistant varieties has shown promising results in controlling crop diseases. Forthcoming studies on the development of an appropriately stacked R gene with a wide range of resistance to crop diseases would enable proper management and yield. The article reviews various aspects of pathogenic bioaerosols, pathogen invasion and infestation, crop diseases and yield.
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Affiliation(s)
- Abdul Zul'Adly Mohaimin
- Environmental and Life Sciences Programme, Faculty of Science, Universiti Brunei Darussalam, Jalan Tungku Link, Bandar Seri Begawan, BE1410, Brunei Darussalam
| | - Sarayu Krishnamoorthy
- Environmental and Life Sciences Programme, Faculty of Science, Universiti Brunei Darussalam, Jalan Tungku Link, Bandar Seri Begawan, BE1410, Brunei Darussalam
| | - Pooja Shivanand
- Environmental and Life Sciences Programme, Faculty of Science, Universiti Brunei Darussalam, Jalan Tungku Link, Bandar Seri Begawan, BE1410, Brunei Darussalam.
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Zhang H, Liu X, Zhou J, Strelkov SE, Fredua-Agyeman R, Zhang S, Li F, Li G, Wu J, Sun R, Hwang SF, Zhang S. Identification of Clubroot ( Plasmodiophora brassicae) Resistance Loci in Chinese Cabbage ( Brassica rapa ssp. pekinensis) with Recessive Character. Genes (Basel) 2024; 15:274. [PMID: 38540333 PMCID: PMC10970103 DOI: 10.3390/genes15030274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 02/17/2024] [Accepted: 02/20/2024] [Indexed: 06/15/2024] Open
Abstract
The soil-borne pathogen Plasmodiophora brassicae is the causal agent of clubroot, a major disease in Chinese cabbage (Brassica rapa ssp. pekinensis). The host's resistance genes often confer immunity to only specific pathotypes and may be rapidly overcome. Identification of novel clubroot resistance (CR) from germplasm sources is necessary. In this study, Bap246 was tested by being crossed with different highly susceptible B. rapa materials and showed recessive resistance to clubroot. An F2 population derived from Bap246 × Bac1344 was used to locate the resistance Quantitative Trait Loci (QTL) by Bulk Segregant Analysis Sequencing (BSA-Seq) and QTL mapping methods. Two QTL on chromosomes A01 (4.67-6.06 Mb) and A08 (10.42-11.43 Mb) were found and named Cr4Ba1.1 and Cr4Ba8.1, respectively. Fifteen and eleven SNP/InDel markers were used to narrow the target regions in the larger F2 population to 4.67-5.17 Mb (A01) and 10.70-10.84 Mb (A08), with 85 and 19 candidate genes, respectively. The phenotypic variation explained (PVE) of the two QTL were 30.97% and 8.65%, respectively. Combined with gene annotation, mutation site analysis, and real-time quantitative polymerase chain reaction (qRT-PCR) analysis, one candidate gene in A08 was identified, namely Bra020861. And an insertion and deletion (InDel) marker (co-segregated) named Crr1-196 was developed based on the gene sequence. Bra013275, Bra013299, Bra013336, Bra013339, Bra013341, and Bra013357 in A01 were the candidate genes that may confer clubroot resistance in Chinese cabbage. The resistance resource and the developed marker will be helpful in Brassica breeding programs.
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Affiliation(s)
- Hui Zhang
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (H.Z.); (X.L.); (J.Z.); (S.Z.); (F.L.); (G.L.); (J.W.); (R.S.)
| | - Xitong Liu
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (H.Z.); (X.L.); (J.Z.); (S.Z.); (F.L.); (G.L.); (J.W.); (R.S.)
| | - Jinyan Zhou
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (H.Z.); (X.L.); (J.Z.); (S.Z.); (F.L.); (G.L.); (J.W.); (R.S.)
| | - Stephen E. Strelkov
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2P5, Canada; (S.E.S.); (R.F.-A.)
| | - Rudolph Fredua-Agyeman
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2P5, Canada; (S.E.S.); (R.F.-A.)
| | - Shifan Zhang
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (H.Z.); (X.L.); (J.Z.); (S.Z.); (F.L.); (G.L.); (J.W.); (R.S.)
| | - Fei Li
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (H.Z.); (X.L.); (J.Z.); (S.Z.); (F.L.); (G.L.); (J.W.); (R.S.)
| | - Guoliang Li
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (H.Z.); (X.L.); (J.Z.); (S.Z.); (F.L.); (G.L.); (J.W.); (R.S.)
| | - Jian Wu
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (H.Z.); (X.L.); (J.Z.); (S.Z.); (F.L.); (G.L.); (J.W.); (R.S.)
| | - Rifei Sun
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (H.Z.); (X.L.); (J.Z.); (S.Z.); (F.L.); (G.L.); (J.W.); (R.S.)
| | - Sheau-Fang Hwang
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2P5, Canada; (S.E.S.); (R.F.-A.)
| | - Shujiang Zhang
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (H.Z.); (X.L.); (J.Z.); (S.Z.); (F.L.); (G.L.); (J.W.); (R.S.)
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Lin M, Gao Z, Wang X, Huo H, Mao J, Gong X, Chen L, Ma S, Cao Y. Eco-friendly managements and molecular mechanisms for improving postharvest quality and extending shelf life of kiwifruit: A review. Int J Biol Macromol 2024; 257:128450. [PMID: 38035965 DOI: 10.1016/j.ijbiomac.2023.128450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 11/04/2023] [Accepted: 11/20/2023] [Indexed: 12/02/2023]
Abstract
Kiwifruit (Actinidia spp.) is a commercially important horticultural fruit crop worldwide. Kiwifruit contains numerous minerals, vitamins, and dietary phytochemicals, that not only responsible for the flavor but can also serve as adjuncts in the treatment of diabetes, digestive disorders, cardiovascular system, cancer and heart disease. However, fruit quality and shelf life affect consumer's acceptance and production chain. Understanding the methods of fruit storage preservation, as well as their biochemical, physiological, and molecular basis is essential. In recent years, eco-friendly (comprehensive and environmentally friendly) treatments such as hot water, ozone, chitosan, quercetin, and antifungal additive from biocontrol bacteria or yeast have been applied to improve postharvest fruit quality with longer shelf life. This review provides a comprehensive overview of the latest advancements in control measures, applications, and mechanisms related to water loss, chilling injury, and pathogen diseases in postharvest kiwifruit. Further studies should utilize genome editing techniques to enhance postharvest fruit quality and disease resistance through site-directed bio-manipulation of the kiwifruit genome.
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Affiliation(s)
- Mengfei Lin
- Institute of Biological Resources, Jiangxi Academy of Sciences, Nanchang, Jiangxi, China; Jiangxi Kiwifruit Engineering Research Center, Nanchang, Jiangxi, China
| | - Zhu Gao
- Institute of Biological Resources, Jiangxi Academy of Sciences, Nanchang, Jiangxi, China; Jiangxi Kiwifruit Engineering Research Center, Nanchang, Jiangxi, China; Jinggangshan Institute of Biotechnology, Jiangxi Academy of Sciences, Ji'an, Jiangxi, China
| | - Xiaoling Wang
- Institute of Biological Resources, Jiangxi Academy of Sciences, Nanchang, Jiangxi, China; Jiangxi Kiwifruit Engineering Research Center, Nanchang, Jiangxi, China.
| | - Heqiang Huo
- Mid-Florida Research & Education Center, IFAS, University of Florida, Apopka, FL 32703, USA
| | - Jipeng Mao
- Institute of Biological Resources, Jiangxi Academy of Sciences, Nanchang, Jiangxi, China; Jiangxi Kiwifruit Engineering Research Center, Nanchang, Jiangxi, China
| | - Xuchen Gong
- Institute of Biological Resources, Jiangxi Academy of Sciences, Nanchang, Jiangxi, China; Jiangxi Kiwifruit Engineering Research Center, Nanchang, Jiangxi, China
| | - Lu Chen
- Institute of Biological Resources, Jiangxi Academy of Sciences, Nanchang, Jiangxi, China; Jiangxi Kiwifruit Engineering Research Center, Nanchang, Jiangxi, China; Jinggangshan Institute of Biotechnology, Jiangxi Academy of Sciences, Ji'an, Jiangxi, China
| | - Shiying Ma
- Institute of Biological Resources, Jiangxi Academy of Sciences, Nanchang, Jiangxi, China; Jiangxi Kiwifruit Engineering Research Center, Nanchang, Jiangxi, China
| | - Yunpeng Cao
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China
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Zhang Z, Long Y, Yin X, Wang W, Li W, Jiang L, Chen X, Wang B, Ma J. Genome-wide identification and expression patterns of the laccase gene family in response to kiwifruit bacterial canker infection. BMC PLANT BIOLOGY 2023; 23:591. [PMID: 38008764 PMCID: PMC10680249 DOI: 10.1186/s12870-023-04606-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 11/14/2023] [Indexed: 11/28/2023]
Abstract
BACKGROUND Kiwifruit bacterial canker, caused by Pseudomonas syringae pv. actinidiae (Psa), is a destructive disease worldwide. Resistance genes that respond to Psa infection urgently need to be identified for controlling this disease. Laccase is mainly involved in the synthesis of lignin in the plant cell wall and plays a prominent role in plant growth and resistance to pathogen infection. However, the role of laccase in kiwifruit has not been reported, and whether laccase is pivotal in the response to Psa infection remains unclear. RESULTS We conducted a bioinformatics analysis to identify 55 laccase genes (AcLAC1-AcLAC55) in the kiwifruit genome. These genes were classified into five cluster groups (I-V) based on phylogenetic analysis, with cluster groups I and II having the highest number of members. Analysis of the exon-intron structure revealed that the number of exons varied from 1 to 8, with an average of 5 introns. Our evolutionary analysis indicated that fragment duplication played a key role in the expansion of kiwifruit laccase genes. Furthermore, evolutionary pressure analysis suggested that AcLAC genes were under purifying selection. We also performed a cis-acting element analysis and found that AcLAC genes contained multiple hormone (337) and stress signal (36) elements in their promoter regions. Additionally, we investigated the expression pattern of laccase genes in kiwifruit stems and leaves infected with Psa. Our findings revealed that laccase gene expression levels in the stems were higher than those in the leaves 5 days after inoculation with Psa. Notably, AcLAC2, AcLAC4, AcLAC17, AcLAC18, AcLAC26, and AcLAC42 showed significantly higher expression levels (p < 0.001) compared to the non-inoculated control (0 d), suggesting their potential role in resisting Psa infection. Moreover, our prediction indicated that 21 kiwifruit laccase genes are regulated by miRNA397, they could potentially act as negative regulators of lignin biosynthesis. CONCLUSIONS These results are valuable for further analysis of the resistance function and molecular mechanism of laccases in kiwifruit.
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Affiliation(s)
- Zhuzhu Zhang
- Research Center for Engineering Technology of Kiwifruit, Institute of Crop Protection, College of Agriculture, Guizhou University, Guiyang, 550025, China
| | - Youhua Long
- Research Center for Engineering Technology of Kiwifruit, Institute of Crop Protection, College of Agriculture, Guizhou University, Guiyang, 550025, China.
- Teaching Experiment Farm, Guizhou University, Guiyang, 550025, China.
| | - Xianhui Yin
- Research Center for Engineering Technology of Kiwifruit, Institute of Crop Protection, College of Agriculture, Guizhou University, Guiyang, 550025, China
| | - Weizhen Wang
- Research Center for Engineering Technology of Kiwifruit, Institute of Crop Protection, College of Agriculture, Guizhou University, Guiyang, 550025, China
| | - Wenzhi Li
- Research Center for Engineering Technology of Kiwifruit, Institute of Crop Protection, College of Agriculture, Guizhou University, Guiyang, 550025, China
| | - Lingli Jiang
- Research Center for Engineering Technology of Kiwifruit, Institute of Crop Protection, College of Agriculture, Guizhou University, Guiyang, 550025, China
| | - Xuetang Chen
- Research Center for Engineering Technology of Kiwifruit, Institute of Crop Protection, College of Agriculture, Guizhou University, Guiyang, 550025, China
| | - Bince Wang
- Research Center for Engineering Technology of Kiwifruit, Institute of Crop Protection, College of Agriculture, Guizhou University, Guiyang, 550025, China
| | - Jiling Ma
- Research Center for Engineering Technology of Kiwifruit, Institute of Crop Protection, College of Agriculture, Guizhou University, Guiyang, 550025, China
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Alsamman AM, Mousa KH, Nassar AE, Faheem MM, Radwan KH, Adly MH, Hussein A, Istanbuli T, Mokhtar MM, Elakkad TA, Kehel Z, Hamwieh A, Abdelsattar M, El Allali A. Identification, characterization, and validation of NBS-encoding genes in grass pea. Front Genet 2023; 14:1187597. [PMID: 37408775 PMCID: PMC10318170 DOI: 10.3389/fgene.2023.1187597] [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: 03/16/2023] [Accepted: 06/01/2023] [Indexed: 07/07/2023] Open
Abstract
Grass pea is a promising crop with the potential to provide food and fodder, but its genomics has not been adequately explored. Identifying genes for desirable traits, such as drought tolerance and disease resistance, is critical for improving the plant. Grass pea currently lacks known R-genes, including the nucleotide-binding site-leucine-rich repeat (NBS-LRR) gene family, which plays a key role in protecting the plant from biotic and abiotic stresses. In our study, we used the recently published grass pea genome and available transcriptomic data to identify 274 NBS-LRR genes. The evolutionary relationships between the classified genes on the reported plants and LsNBS revealed that 124 genes have TNL domains, while 150 genes have CNL domains. All genes contained exons, ranging from 1 to 7. Ten conserved motifs with lengths ranging from 16 to 30 amino acids were identified. We found TIR-domain-containing genes in 132 LsNBSs, with 63 TIR-1 and 69 TIR-2, and RX-CCLike in 84 LsNBSs. We also identified several popular motifs, including P-loop, Uup, kinase-GTPase, ABC, ChvD, CDC6, Rnase_H, Smc, CDC48, and SpoVK. According to the gene enrichment analysis, the identified genes undergo several biological processes such as plant defense, innate immunity, hydrolase activity, and DNA binding. In the upstream regions, 103 transcription factors were identified that govern the transcription of nearby genes affecting the plant excretion of salicylic acid, methyl jasmonate, ethylene, and abscisic acid. According to RNA-Seq expression analysis, 85% of the encoded genes have high expression levels. Nine LsNBS genes were selected for qPCR under salt stress conditions. The majority of the genes showed upregulation at 50 and 200 μM NaCl. However, LsNBS-D18, LsNBS-D204, and LsNBS-D180 showed reduced or drastic downregulation compared to their respective expression levels, providing further insights into the potential functions of LsNBSs under salt stress conditions. They provide valuable insights into the potential functions of LsNBSs under salt stress conditions. Our findings also shed light on the evolution and classification of NBS-LRR genes in legumes, highlighting the potential of grass pea. Further research could focus on the functional analysis of these genes, and their potential use in breeding programs to improve the salinity, drought, and disease resistance of this important crop.
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Affiliation(s)
- Alsamman M. Alsamman
- Agricultural Genetic Engineering Research Institute (AGERI), Agricultural Research Center (ARC), Giza, Egypt
- International Center for Agricultural Research in the Dry Areas (ICARDA), Giza, Egypt
| | - Khaled H. Mousa
- International Center for Agricultural Research in the Dry Areas (ICARDA), Giza, Egypt
| | - Ahmed E. Nassar
- International Center for Agricultural Research in the Dry Areas (ICARDA), Giza, Egypt
| | - Mostafa M. Faheem
- Agricultural Genetic Engineering Research Institute (AGERI), Agricultural Research Center (ARC), Giza, Egypt
| | - Khaled H. Radwan
- Agricultural Genetic Engineering Research Institute (AGERI), Agricultural Research Center (ARC), Giza, Egypt
| | - Monica H. Adly
- Agricultural Genetic Engineering Research Institute (AGERI), Agricultural Research Center (ARC), Giza, Egypt
- International Center for Agricultural Research in the Dry Areas (ICARDA), Giza, Egypt
| | - Ahmed Hussein
- Agricultural Genetic Engineering Research Institute (AGERI), Agricultural Research Center (ARC), Giza, Egypt
| | - Tawffiq Istanbuli
- International Center for Agricultural Research in the Dry Areas (ICARDA), Terbol, Lebanon
| | - Morad M. Mokhtar
- Agricultural Genetic Engineering Research Institute (AGERI), Agricultural Research Center (ARC), Giza, Egypt
- African Genome Center, Mohammed VI Polytechnic University, Ben Guerir, Morocco
| | - Tamer Ahmed Elakkad
- Department of Genetics and Genetic Engineering, Faculty of Agriculture at Moshtohor, Benha University, Benha, Egypt
- Moshtohor Research Park, Molecular Biology Lab, Benha University, Benha, Egypt
| | - Zakaria Kehel
- Biodiversity and Crop Improvement Program, International Center for Agricultural Research in the Dry Areas (ICARDA), Rabat, Morocco
| | - Aladdin Hamwieh
- International Center for Agricultural Research in the Dry Areas (ICARDA), Giza, Egypt
| | - Mohamed Abdelsattar
- Agricultural Genetic Engineering Research Institute (AGERI), Agricultural Research Center (ARC), Giza, Egypt
| | - Achraf El Allali
- African Genome Center, Mohammed VI Polytechnic University, Ben Guerir, Morocco
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Song J, Chen F, Lv B, Guo C, Yang J, Huang L, Guo J, Xiang F. Genome-Wide Identification and Expression Analysis of the TIR-NBS-LRR Gene Family and Its Response to Fungal Disease in Rose (Rosa chinensis). BIOLOGY 2023; 12:biology12030426. [PMID: 36979118 PMCID: PMC10045381 DOI: 10.3390/biology12030426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 03/07/2023] [Accepted: 03/08/2023] [Indexed: 03/12/2023]
Abstract
Roses, which are one of the world’s most important ornamental plants, are often damaged by pathogens, resulting in serious economic losses. As a subclass of the disease resistance gene family of plant nucleotide-binding oligomerization domain (NOD)-like receptors, TIR-NBS-LRR (TNL) genes play a vital role in identifying pathogen effectors and activating defense responses. However, a systematic analysis of the TNL gene family is rarely reported in roses. Herein, 96 intact TNL genes were identified in Rosa chinensis. Their phylogenies, physicochemical characteristics, gene structures, conserved domains and motifs, promoter cis-elements, microRNA binding sites, and intra- and interspecific collinearity relationships were analyzed. An expression analysis using transcriptome data revealed that RcTNL genes were dominantly expressed in leaves. Some RcTNL genes responded to gibberellin, jasmonic acid, salicylic acid, Botrytis cinerea, Podosphaera pannosa, and Marssonina rosae (M. rosae); the RcTNL23 gene responded significantly to three hormones and three pathogens, and exhibited an upregulated expression. Furthermore, the black spot pathogen was identified as M. rosae. After inoculating rose leaves, an expression pattern analysis of the RcTNL genes suggested that they act during different periods of pathogen infection. The present study lays the foundations for an in-depth investigation of the TNL gene function and the mining of disease resistance genes in roses.
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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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9
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Khan K, Van Aken O. The colonization of land was a likely driving force for the evolution of mitochondrial retrograde signalling in plants. JOURNAL OF EXPERIMENTAL BOTANY 2022; 73:7182-7197. [PMID: 36055768 PMCID: PMC9675596 DOI: 10.1093/jxb/erac351] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 08/29/2022] [Indexed: 06/15/2023]
Abstract
Most retrograde signalling research in plants was performed using Arabidopsis, so an evolutionary perspective on mitochondrial retrograde regulation (MRR) is largely missing. Here, we used phylogenetics to track the evolutionary origins of factors involved in plant MRR. In all cases, the gene families can be traced to ancestral green algae or earlier. However, the specific subfamilies containing factors involved in plant MRR in many cases arose during the transition to land. NAC transcription factors with C-terminal transmembrane domains, as observed in the key regulator ANAC017, can first be observed in non-vascular mosses, and close homologs to ANAC017 can be found in seed plants. Cyclin-dependent kinases (CDKs) are common to eukaryotes, but E-type CDKs that control MRR also diverged in conjunction with plant colonization of land. AtWRKY15 can be traced to the earliest land plants, while AtWRKY40 only arose in angiosperms and AtWRKY63 even more recently in Brassicaceae. Apetala 2 (AP2) transcription factors are traceable to algae, but the ABI4 type again only appeared in seed plants. This strongly suggests that the transition to land was a major driver for developing plant MRR pathways, while additional fine-tuning events have appeared in seed plants or later. Finally, we discuss how MRR may have contributed to meeting the specific challenges that early land plants faced during terrestrialization.
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Affiliation(s)
- Kasim Khan
- Department of Biology, Lund University, Lund, Sweden
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10
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Arraes FBM, Vasquez DDN, Tahir M, Pinheiro DH, Faheem M, Freitas-Alves NS, Moreira-Pinto CE, Moreira VJV, Paes-de-Melo B, Lisei-de-Sa ME, Morgante CV, Mota APZ, Lourenço-Tessutti IT, Togawa RC, Grynberg P, Fragoso RR, de Almeida-Engler J, Larsen MR, Grossi-de-Sa MF. Integrated Omic Approaches Reveal Molecular Mechanisms of Tolerance during Soybean and Meloidogyne incognita Interactions. PLANTS (BASEL, SWITZERLAND) 2022; 11:plants11202744. [PMID: 36297768 PMCID: PMC9612212 DOI: 10.3390/plants11202744] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 09/26/2022] [Accepted: 09/27/2022] [Indexed: 05/08/2023]
Abstract
The root-knot nematode (RKN), Meloidogyne incognita, is a devastating soybean pathogen worldwide. The use of resistant cultivars is the most effective method to prevent economic losses caused by RKNs. To elucidate the mechanisms involved in resistance to RKN, we determined the proteome and transcriptome profiles from roots of susceptible (BRS133) and highly tolerant (PI 595099) Glycine max genotypes 4, 12, and 30 days after RKN infestation. After in silico analysis, we described major defense molecules and mechanisms considered constitutive responses to nematode infestation, such as mTOR, PI3K-Akt, relaxin, and thermogenesis. The integrated data allowed us to identify protein families and metabolic pathways exclusively regulated in tolerant soybean genotypes. Among them, we highlighted the phenylpropanoid pathway as an early, robust, and systemic defense process capable of controlling M. incognita reproduction. Associated with this metabolic pathway, 29 differentially expressed genes encoding 11 different enzymes were identified, mainly from the flavonoid and derivative pathways. Based on differential expression in transcriptomic and proteomic data, as well as in the expression profile by RT-qPCR, and previous studies, we selected and overexpressed the GmPR10 gene in transgenic tobacco to assess its protective effect against M. incognita. Transgenic plants of the T2 generation showed up to 58% reduction in the M. incognita reproduction factor. Finally, data suggest that GmPR10 overexpression can be effective against the plant parasitic nematode M. incognita, but its mechanism of action remains unclear. These findings will help develop new engineered soybean genotypes with higher performance in response to RKN infections.
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Affiliation(s)
- Fabricio B M Arraes
- Postgraduate Program in Cellular and Molecular Biology (PPGBCM), Federal University of Rio Grande do Sul (UFRGS), Porto Alegre 91501-970, RS, Brazil
- Embrapa Genetic Resources and Biotechnology, Plant-Pest Molecular Interaction Laboratory (LIMPP) and Bioinformatics Laboratory, Brasilia 70770-917, DF, Brazil
- National Institute of Science and Technology (INCT PlantStress Biotech), Brasilia 70770-917, DF, Brazil
| | - Daniel D N Vasquez
- Embrapa Genetic Resources and Biotechnology, Plant-Pest Molecular Interaction Laboratory (LIMPP) and Bioinformatics Laboratory, Brasilia 70770-917, DF, Brazil
- National Institute of Science and Technology (INCT PlantStress Biotech), Brasilia 70770-917, DF, Brazil
- Postgraduate Program in Genomic Sciences and Biotechnology (PPGCGB), Catholic University of Brasilia (UCB), Brasilia 71966-700, DF, Brazil
| | - Muhammed Tahir
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, 5230 Odense, Denmark
| | - Daniele H Pinheiro
- Embrapa Genetic Resources and Biotechnology, Plant-Pest Molecular Interaction Laboratory (LIMPP) and Bioinformatics Laboratory, Brasilia 70770-917, DF, Brazil
- National Institute of Science and Technology (INCT PlantStress Biotech), Brasilia 70770-917, DF, Brazil
| | - Muhammed Faheem
- Embrapa Genetic Resources and Biotechnology, Plant-Pest Molecular Interaction Laboratory (LIMPP) and Bioinformatics Laboratory, Brasilia 70770-917, DF, Brazil
- Department of Biological Sciences, National University of Medical Sciences, The Mall, Rawalpindi 46000, Punjab, Pakistan
| | - Nayara S Freitas-Alves
- Embrapa Genetic Resources and Biotechnology, Plant-Pest Molecular Interaction Laboratory (LIMPP) and Bioinformatics Laboratory, Brasilia 70770-917, DF, Brazil
- Postgraduate Program in Bioprocess Engineering and Biotechnology (PPGEBB), Federal University of Paraná (UFPR), Curitiba 80060-000, PR, Brazil
| | - Clídia E Moreira-Pinto
- Embrapa Genetic Resources and Biotechnology, Plant-Pest Molecular Interaction Laboratory (LIMPP) and Bioinformatics Laboratory, Brasilia 70770-917, DF, Brazil
| | - Valdeir J V Moreira
- Embrapa Genetic Resources and Biotechnology, Plant-Pest Molecular Interaction Laboratory (LIMPP) and Bioinformatics Laboratory, Brasilia 70770-917, DF, Brazil
- National Institute of Science and Technology (INCT PlantStress Biotech), Brasilia 70770-917, DF, Brazil
- Postgraduate Program in Molecular Biology (PPGBiomol), University of Brasilia (UnB), Brasília 70910-900, DF, Brazil
| | - Bruno Paes-de-Melo
- Embrapa Genetic Resources and Biotechnology, Plant-Pest Molecular Interaction Laboratory (LIMPP) and Bioinformatics Laboratory, Brasilia 70770-917, DF, Brazil
| | - Maria E Lisei-de-Sa
- Embrapa Genetic Resources and Biotechnology, Plant-Pest Molecular Interaction Laboratory (LIMPP) and Bioinformatics Laboratory, Brasilia 70770-917, DF, Brazil
- National Institute of Science and Technology (INCT PlantStress Biotech), Brasilia 70770-917, DF, Brazil
- Minas Gerais Agricultural Research Company (EPAMIG), Uberaba 31170-495, MG, Brazil
| | - Carolina V Morgante
- Embrapa Genetic Resources and Biotechnology, Plant-Pest Molecular Interaction Laboratory (LIMPP) and Bioinformatics Laboratory, Brasilia 70770-917, DF, Brazil
- National Institute of Science and Technology (INCT PlantStress Biotech), Brasilia 70770-917, DF, Brazil
- Embrapa Semiarid, Petrolina 56302-970, PE, Brazil
| | - Ana P Z Mota
- Embrapa Genetic Resources and Biotechnology, Plant-Pest Molecular Interaction Laboratory (LIMPP) and Bioinformatics Laboratory, Brasilia 70770-917, DF, Brazil
- National Institute of Science and Technology (INCT PlantStress Biotech), Brasilia 70770-917, DF, Brazil
- INRAE, Université Côte d'Azur, CNRS, Institut Sophia Agrobiotech, 06903 Sophia-Antipolis, France
| | - Isabela T Lourenço-Tessutti
- Embrapa Genetic Resources and Biotechnology, Plant-Pest Molecular Interaction Laboratory (LIMPP) and Bioinformatics Laboratory, Brasilia 70770-917, DF, Brazil
- National Institute of Science and Technology (INCT PlantStress Biotech), Brasilia 70770-917, DF, Brazil
| | - Roberto C Togawa
- Embrapa Genetic Resources and Biotechnology, Plant-Pest Molecular Interaction Laboratory (LIMPP) and Bioinformatics Laboratory, Brasilia 70770-917, DF, Brazil
- National Institute of Science and Technology (INCT PlantStress Biotech), Brasilia 70770-917, DF, Brazil
| | - Priscila Grynberg
- Embrapa Genetic Resources and Biotechnology, Plant-Pest Molecular Interaction Laboratory (LIMPP) and Bioinformatics Laboratory, Brasilia 70770-917, DF, Brazil
- National Institute of Science and Technology (INCT PlantStress Biotech), Brasilia 70770-917, DF, Brazil
| | - Rodrigo R Fragoso
- National Institute of Science and Technology (INCT PlantStress Biotech), Brasilia 70770-917, DF, Brazil
- Embrapa Agroenergy, Brasilia 70770-901, DF, Brazil
| | - Janice de Almeida-Engler
- National Institute of Science and Technology (INCT PlantStress Biotech), Brasilia 70770-917, DF, Brazil
- INRAE, Université Côte d'Azur, CNRS, Institut Sophia Agrobiotech, 06903 Sophia-Antipolis, France
| | - Martin R Larsen
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, 5230 Odense, Denmark
| | - Maria F Grossi-de-Sa
- Embrapa Genetic Resources and Biotechnology, Plant-Pest Molecular Interaction Laboratory (LIMPP) and Bioinformatics Laboratory, Brasilia 70770-917, DF, Brazil
- National Institute of Science and Technology (INCT PlantStress Biotech), Brasilia 70770-917, DF, Brazil
- Postgraduate Program in Genomic Sciences and Biotechnology (PPGCGB), Catholic University of Brasilia (UCB), Brasilia 71966-700, DF, Brazil
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11
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Liu W, Zhao C, Liu L, Huang D, Ma C, Li R, Huang L. Genome-wide identification of the TGA gene family in kiwifruit (Actinidia chinensis spp.) and revealing its roles in response to Pseudomonas syringae pv. actinidiae (Psa) infection. Int J Biol Macromol 2022; 222:101-113. [PMID: 36150565 DOI: 10.1016/j.ijbiomac.2022.09.154] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 09/02/2022] [Accepted: 09/14/2022] [Indexed: 11/20/2022]
Abstract
Kiwifruit bacterial canker, caused by Pseudomonas syringae pv. actinidiae (Psa), is a destructive disease of kiwifruit worldwide. Functional genes in response to Psa infection are needed, as they could be utilized to control disease. TGACG-binding transcription factor (TGA), as an essential regulator, involved in the process of plant against pathogens. However, the function of TGA regulators has not been reported in kiwifruit. It is unclear that whether TGA genes play a role in response to Psa infection. Here, we performed genome-wide screening and identified 13 TGA genes in kiwifruit. Phylogenetic analysis showed that 13 members of the AcTGA gene family could be divided into five groups. AcTGA proteins were mainly located in the nucleus, and significant differences were identified in their 3D structures. Segmental duplications promoted the expansion of the AcTGA family. Additionally, RNA-Seq and qRT-PCR revealed that four genes (AcTGA01/06/07/09) were tissue-specific and responsive to hormones at different levels. Subcellular localization showed that four proteins located in the nucleus, and among them, three (AcTGA01/06/07) had transcriptional activation activity. Lastly, transient overexpression proved that these three genes (AcTGA01/06/07) potentially played a role in the resistance to kiwifruit canker. These results provided a theoretical basis for revealing TGA involved in kiwifruit regulation against Psa.
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Affiliation(s)
- Wei Liu
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling Shaanxi 712100, China.
| | - Chao Zhao
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling Shaanxi 712100, China.
| | - Lu Liu
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling Shaanxi 712100, China.
| | - Dong Huang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling Shaanxi 712100, China.
| | - Chao Ma
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling Shaanxi 712100, China.
| | - Rui Li
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling Shaanxi 712100, China.
| | - Lili Huang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Plant Protection, Northwest A&F University, Yangling Shaanxi 712100, China.
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12
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Fick A, Swart V, van den Berg N. The Ups and Downs of Plant NLR Expression During Pathogen Infection. FRONTIERS IN PLANT SCIENCE 2022; 13:921148. [PMID: 35720583 PMCID: PMC9201817 DOI: 10.3389/fpls.2022.921148] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 05/16/2022] [Indexed: 06/15/2023]
Abstract
Plant Nucleotide binding-Leucine rich repeat (NLR) proteins play a significant role in pathogen detection and the activation of effector-triggered immunity. NLR regulation has mainly been studied at a protein level, with large knowledge gaps remaining regarding the transcriptional control of NLR genes. The mis-regulation of NLR gene expression may lead to the inability of plants to recognize pathogen infection, lower levels of immune response activation, and ultimately plant susceptibility. This highlights the importance of understanding all aspects of NLR regulation. Three main mechanisms have been shown to control NLR expression: epigenetic modifications, cis elements which bind transcription factors, and post-transcriptional modifications. In this review, we aim to provide an overview of these mechanisms known to control NLR expression, and those which contribute toward successful immune responses. Furthermore, we discuss how pathogens can interfere with NLR expression to increase pathogen virulence. Understanding how these molecular mechanisms control NLR expression would contribute significantly toward building a complete picture of how plant immune responses are activated during pathogen infection-knowledge which can be applied during crop breeding programs aimed to increase resistance toward numerous plant pathogens.
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Affiliation(s)
- Alicia Fick
- Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria, South Africa
- Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria, South Africa
| | - Velushka Swart
- Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria, South Africa
- Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria, South Africa
| | - Noëlani van den Berg
- Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria, South Africa
- Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria, South Africa
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13
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Gong P, Kang J, Sadeghnezhad E, Bao R, Ge M, Zhuge Y, Shangguan L, Fang J. Transcriptional Profiling of Resistant and Susceptible Cultivars of Grapevine ( Vitis L.) Reveals Hypersensitive Responses to Plasmopara viticola. Front Microbiol 2022; 13:846504. [PMID: 35572700 PMCID: PMC9097084 DOI: 10.3389/fmicb.2022.846504] [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: 12/31/2021] [Accepted: 03/24/2022] [Indexed: 11/13/2022] Open
Abstract
Grapevine downy mildew is the most serious disease of grapevine cultivars that affects the rate of resistance/susceptibility to Plasmopara viticola. In this study, we used the susceptible cultivar "Zitian Seedless" and the resistant cultivar "Kober 5BB" as materials to determine the transcriptome differences and phenotypes of the leaves after inoculation with downy mildew. The differences in microstructures and molecular levels were compared and analyzed. Fluorescence staining and microscopic observations confirmed that hypersensitive cell death occurred around the stomata in "Kober 5BB" infected by downy mildew zoospores. Meanwhile, transcriptomic profiling indicated that there were 11,713 and 6,997 gene expression differences between the resistant and susceptible cultivars at 72 h after inoculation when compared to control (0 h), respectively. The differentially expressed genes of the two cultivars are significantly enriched in different pathways, including response to plant-pathogen interaction, mitogen-activated protein kinase (MAPK) signaling pathway, plant hormone signal transduction, phenylpropanoid, and flavonoid biosynthesis. Furthermore, the results of functional enrichment analysis showed that H2O2 metabolism, cell death, reactive oxygen response, and carbohydrate metabolism are also involved in the defense response of "Kober 5BB," wherein a total of 322 key genes have been identified. The protein interaction network showed that metacaspases (MCAs), vacuolar processing enzymes (VPEs), and Papain-like cysteine proteases (PLCPs) play an important role in the execution of hypersensitive responses (HR). In conclusion, we demonstrated that HR cell death is the key strategy in the process of grape defense against downy mildew, which may be mediated or activated by Caspase-like proteases.
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Affiliation(s)
- Peijie Gong
- Department of Horticulture, Nanjing Agricultural University, Nanjing, China
| | - Jun Kang
- Department of Horticulture, Nanjing Agricultural University, Nanjing, China
| | - Ehsan Sadeghnezhad
- Department of Horticulture, Nanjing Agricultural University, Nanjing, China
| | - Ruoxuan Bao
- Department of Horticulture, Nanjing Agricultural University, Nanjing, China
| | - Mengqing Ge
- Department of Horticulture, Nanjing Agricultural University, Nanjing, China
| | - Yaxian Zhuge
- Department of Horticulture, Nanjing Agricultural University, Nanjing, China
| | - Lingfei Shangguan
- Department of Horticulture, Nanjing Agricultural University, Nanjing, China
| | - Jinggui Fang
- Department of Horticulture, Nanjing Agricultural University, Nanjing, China
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14
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Zhang W, Yuan Q, Wu Y, Zhang J, Nie J. Genome-Wide Identification and Characterization of the CC-NBS-LRR Gene Family in Cucumber ( Cucumis sativus L.). Int J Mol Sci 2022; 23:ijms23095048. [PMID: 35563438 PMCID: PMC9099878 DOI: 10.3390/ijms23095048] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 04/26/2022] [Accepted: 04/29/2022] [Indexed: 12/10/2022] Open
Abstract
The NBS-LRR (NLR) gene family plays a pivotal role in regulating disease defense response in plants. Cucumber is one of the most important vegetable crops in the world, and various plant diseases, including powdery mildew (PM), cause severe losses in both cucumber productivity and quality annually. To characterize and understand the role of the CC-NBS-LRR(CNL) family of genes in disease defense response in cucumber plants, we performed bioinformatical analysis to characterize these genes systematically. We identified 33 members of the CNL gene family in cucumber plants, and they are distributed on each chromosome with chromosome 4 harboring the largest cluster of five different genes. The corresponding CNL family member varies in the number of amino acids and exons, molecular weight, theoretical isoelectric point (pI) and subcellular localization. Cis-acting element analysis of the CNL genes reveals the presence of multiple phytohormone, abiotic and biotic responsive elements in their promoters, suggesting that these genes might be responsive to plant hormones and stress. Phylogenetic and synteny analysis indicated that the CNL proteins are conserved evolutionarily in different plant species, and they can be divided into four subfamilies based on their conserved domains. MEME analysis and multiple sequence alignment showed that conserved motifs exist in the sequence of CNLs. Further DNA sequence analysis suggests that CsCNL genes might be subject to the regulation of different miRNAs upon PM infection. By mining available RNA-seq data followed by real-time quantitative PCR (qRT-PCR) analysis, we characterized expression patterns of the CNL genes, and found that those genes exhibit a temporospatial expression pattern, and their expression is also responsive to PM infection, ethylene, salicylic acid, and methyl jasmonate treatment in cucumber plants. Finally, the CNL genes targeted by miRNAs were predicted in cucumber plants. Our results in this study provided some basic information for further study of the functions of the CNL gene family in cucumber plants.
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Affiliation(s)
- Wanlu Zhang
- College of Horticulture Science, Zhejiang AF University, Hangzhou 311300, China; (W.Z.); (Q.Y.); (Y.W.); (J.Z.)
- Key Laboratory of Quality and Safety Control for Subtropical Fruit and Vegetable, Ministry of Agriculture and Rural Affairs, Hangzhou 311300, China
- Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, College of Horticulture Science, Zhejiang AF University, Hangzhou 311300, China
| | - Qi Yuan
- College of Horticulture Science, Zhejiang AF University, Hangzhou 311300, China; (W.Z.); (Q.Y.); (Y.W.); (J.Z.)
- Key Laboratory of Quality and Safety Control for Subtropical Fruit and Vegetable, Ministry of Agriculture and Rural Affairs, Hangzhou 311300, China
- Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, College of Horticulture Science, Zhejiang AF University, Hangzhou 311300, China
| | - Yiduo Wu
- College of Horticulture Science, Zhejiang AF University, Hangzhou 311300, China; (W.Z.); (Q.Y.); (Y.W.); (J.Z.)
| | - Jing Zhang
- College of Horticulture Science, Zhejiang AF University, Hangzhou 311300, China; (W.Z.); (Q.Y.); (Y.W.); (J.Z.)
| | - Jingtao Nie
- College of Horticulture Science, Zhejiang AF University, Hangzhou 311300, China; (W.Z.); (Q.Y.); (Y.W.); (J.Z.)
- Key Laboratory of Quality and Safety Control for Subtropical Fruit and Vegetable, Ministry of Agriculture and Rural Affairs, Hangzhou 311300, China
- Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, College of Horticulture Science, Zhejiang AF University, Hangzhou 311300, China
- Correspondence:
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15
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Zhong Y, Chen Z, Cheng ZM. Different scales of gene duplications occurring at different times have jointly shaped the NBS-LRR genes in Prunus species. Mol Genet Genomics 2022; 297:263-276. [PMID: 35031863 PMCID: PMC8803762 DOI: 10.1007/s00438-021-01849-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 12/16/2021] [Indexed: 11/25/2022]
Abstract
In this study, genome-wide identification, phylogenetic relationships, duplication time and selective pressure of the NBS-LRR genes, an important group of plant disease-resistance genes (R genes), were performed to uncover their genetic evolutionary patterns in the six Prunus species. A total of 1946 NBS-LRR genes were identified; specifically, 589, 361, 284, 281, 318, and 113 were identified in Prunus yedoensis, P. domestica, P. avium, P. dulcis, P. persica and P. yedoensis var. nudiflora, respectively. Two NBS-LRR gene subclasses, TIR-NBS-LRR (TNL) and non-TIR-NBS-LRR (non-TNL), were also discovered. In total, 435 TNL and 1511 non-TNL genes were identified and could be classified into 30/55/75 and 103/158/191 multi-gene families, respectively, according to three different criteria. Higher Ks and Ka/Ks values were detected in TNL gene families than in non-TNL gene families. These results indicated that the TNL genes had more members involved in relatively ancient duplications and were affected by stronger selection pressure than the non-TNL genes. In general, the NBS-LRR genes were shaped by species-specific duplications, and lineage-specific duplications occurred at recent and relatively ancient periods among the six Prunus species. Therefore, different duplicated copies of NBS-LRRs can resist specific pathogens and will provide an R-gene library for resistance breeding in Prunus species.
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Affiliation(s)
- Yan Zhong
- College of Horticulture, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China.
| | - Zhao Chen
- College of Horticulture, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Zong-Ming Cheng
- College of Horticulture, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China.
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16
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Xu X, Chen Y, Li B, Zhang Z, Qin G, Chen T, Tian S. Molecular mechanisms underlying multi-level defense responses of horticultural crops to fungal pathogens. HORTICULTURE RESEARCH 2022; 9:uhac066. [PMID: 35591926 PMCID: PMC9113409 DOI: 10.1093/hr/uhac066] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Accepted: 03/07/2022] [Indexed: 05/21/2023]
Abstract
The horticultural industry helps to enrich and improve the human diet while contributing to growth of the agricultural economy. However, fungal diseases of horticultural crops frequently occur during pre- and postharvest periods, reducing yields and crop quality and causing huge economic losses and wasted food. Outcomes of fungal diseases depend on both horticultural plant defense responses and fungal pathogenicity. Plant defense responses are highly sophisticated and are generally divided into preformed and induced defense responses. Preformed defense responses include both physical barriers and phytochemicals, which are the first line of protection. Induced defense responses, which include innate immunity (pattern-triggered immunity and effector-triggered immunity), local defense responses, and systemic defense signaling, are triggered to counterstrike fungal pathogens. Therefore, to develop regulatory strategies for horticultural plant resistance, a comprehensive understanding of defense responses and their underlying mechanisms is critical. Recently, integrated multi-omics analyses, CRISPR-Cas9-based gene editing, high-throughput sequencing, and data mining have greatly contributed to identification and functional determination of novel phytochemicals, regulatory factors, and signaling molecules and their signaling pathways in plant resistance. In this review, research progress on defense responses of horticultural crops to fungal pathogens and novel regulatory strategies to regulate induction of plant resistance are summarized, and then the problems, challenges, and future research directions are examined.
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Affiliation(s)
- Xiaodi Xu
- Key Laboratory of Plant Resources, Institute of Botany, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100093, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yong Chen
- Key Laboratory of Plant Resources, Institute of Botany, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100093, China
| | - Boqiang Li
- Key Laboratory of Plant Resources, Institute of Botany, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100093, China
| | - Zhanquan Zhang
- Key Laboratory of Plant Resources, Institute of Botany, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100093, China
| | - Guozheng Qin
- Key Laboratory of Plant Resources, Institute of Botany, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100093, China
| | - Tong Chen
- Key Laboratory of Plant Resources, Institute of Botany, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100093, China
- Corresponding authors. E-mail: ;
| | - Shiping Tian
- Key Laboratory of Plant Resources, Institute of Botany, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100093, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- Corresponding authors. E-mail: ;
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