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Cai Y, Wang Z, Wan W, Qi J, Liu XF, Wang Y, Lyu Y, Li T, Dong S, Huang S, Zhou S. Time-course dual RNA-seq analyses and gene identification during early stages of plant-Phytophthora infestans interactions. PLANT PHYSIOLOGY 2025; 197:kiaf112. [PMID: 40112880 DOI: 10.1093/plphys/kiaf112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2025] [Accepted: 02/09/2025] [Indexed: 03/22/2025]
Abstract
Late blight caused by Phytophthora infestans is a major threat to global potato and tomato production. Sustainable management of late blight requires the development of resistant crop cultivars. This process can be facilitated by high-throughput identification of functional genes involved in late blight pathogenesis. In this study, we generated a high-quality transcriptomic time-course dataset focusing on the initial 24 h of contact between P. infestans and 3 solanaceous plant species, tobacco (Nicotiana benthamiana), tomato (Solanum lycopersicum), and potato (Solanum tuberosum). Our results demonstrate species-specific transcriptional regulation in early stages of the infection. Transient silencing of putative RIBOSE-5-PHOSPHATE ISOMERASE and HMG-CoA REDUCTASE genes in N. benthamiana lowered plant resistance against P. infestans. Furthermore, heterologous expression of a putative tomato Golgi-localized nucleosugar transporter-encoding gene exacerbated P. infestans infection of N. benthamiana. In comparison, bioassays using transgenic tomato lines showed that the quantitative disease resistance genes were required but insufficient for late blight resistance; genetic knock-out of the susceptibility gene enhanced resistance. The same RNA-seq dataset was exploited to examine the transcriptional landscape of P. infestans and revealed host-specific gene expression patterns in the pathogen. This temporal transcriptomic diversity, in combination with genomic distribution features, identified the P. infestans IPI-B family GLYCINE-RICH PROTEINs as putative virulence factors that promoted disease severity or induced plant tissue necrosis when transiently expressed in N. benthamiana. These functional genes underline the effectiveness of functional gene-mining through a time-course dual RNA-seq approach and provide insight into the molecular interactions between solanaceous plants and P. infestans.
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Affiliation(s)
- Yanling Cai
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China
| | - Zhiqing Wang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China
| | - Wei Wan
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China
- State Key Laboratory of Resource Insects, Institute of Sericulture and Systems Biology, Southwest University, Chongqing 400715, China
| | - Jinfeng Qi
- Department of Economic Plants and Biotechnology, Yunnan Key Laboratory for Wild Plant Resources, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
| | - Xiao-Feng Liu
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China
| | - Yantao Wang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China
| | - Yaqing Lyu
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China
| | - Tao Li
- Guangdong Key Laboratory for New Technology Research of Vegetables, Vegetable Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China
| | - Suomeng Dong
- Department of Plant Pathology, Key Laboratory of Soybean Disease and Pest Control (Ministry of Agriculture and Rural Affairs), Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Sanwen Huang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China
| | - Shaoqun Zhou
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China
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Hudson O, Brawner J. Using genome-wide associations and host-by-pathogen predictions to identify allelic interactions that control disease resistance. THE PLANT GENOME 2025; 18:e70006. [PMID: 39994874 PMCID: PMC11850958 DOI: 10.1002/tpg2.70006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Revised: 01/08/2025] [Accepted: 01/15/2025] [Indexed: 02/26/2025]
Abstract
Characterizing the molecular mechanisms underlying disease symptom expression has been used to improve human health and disease resistance in crops and animal breeds. Quantitative trait loci and genome-wide association studies (GWAS) are widely used to identify genomic regions that are involved in disease progression. This study extends traditional GWAS significance tests of host and pathogen marker main effects by utilizing dual-genome reaction norm models to evaluate the importance of host-single nucleotide polymorphism (SNP) by pathogen-SNP interactions. Disease symptom severity data from Fusarium ear rot (FER) on maize (Zea mays L.) is used to demonstrate the use of both genomes in genomic selection models for breeding and the identification of loci that interact across organisms to impact FER disease development. Dual genome prediction models improved heritability estimates, error variances, and model accuracy while providing predictions for host-by-pathogen interactions that may be used to test the significance of SNP-SNP interactions. Independent GWAS for maize and Fusarium populations identified significantly associated loci and predictions that were used to evaluate the importance of interactions using two different association tests. Predictions from dual genome models were used to evaluate the significance of the SNP-SNP interactions that may be associated with population structure or polygenic effects. As well, association tests incorporating host and pathogen markers in models that also included genomic relationship matrices were used to account for population structure. Subsequent evaluation of protein-protein interactions from candidate genes near the interacting SNPs provides a further in silico evaluation method to expedite the identification of interacting genes.
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Affiliation(s)
- Owen Hudson
- Department of Plant PathologyUniversity of FloridaGainesvilleFloridaUSA
| | - Jeremy Brawner
- Department of Plant PathologyUniversity of FloridaGainesvilleFloridaUSA
- Genics Ltd.Saint LuciaQueenslandAustralia
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Lei S, Li G, Jiang D, Yuan F, Zheng Y, Cao B, Zhang H. Definition and regulatory analysis of the SUMOylation system in Caixin (Brassica rapa var. Parachinensis) during pectobacterium carotovorum infection. BMC PLANT BIOLOGY 2024; 24:1192. [PMID: 39701969 DOI: 10.1186/s12870-024-05807-w] [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: 08/02/2024] [Accepted: 11/11/2024] [Indexed: 12/21/2024]
Abstract
BACKGROUND The modification of protein substrates by small ubiquitin-related modifier (SUMO) plays a vital role in plants subjected to biotic and abiotic stresses. However, its role in the stress responses of Brassica plants remains poorly understood. RESULTS A genome-wide analysis revealed the presence of 30 SUMOylation genes in the Caixin genome. These results demonstrated that the Caixin genome contains all the necessary components for SUMOylation. Analysis of the cis-acting elements revealed that the promoters of SUMOylation genes presented diverse combinations of developmental and stress-related cis-regulatory elements. The RNA-seq data indicated that 23 SUMOylation genes presented relatively high expression levels under normal conditions and exhibited a notable decrease in expression following Pectobacterium carotovorum subsp. carotovorum (Pcc) infection. Additionally, dynamic alterations in SUMO conjugates were observed in response to Pcc infection. CONCLUSIONS The Caixin genome contains genes involved in SUMOylation. The majority of these genes presented multiple copies, and analyses of their transcription and protein profiles indicate that they may play a role in the response to Pcc infection.
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Affiliation(s)
- Shikang Lei
- Guangzhou Academy of Agricultural Sciences, Guangzhou, 510335, China
- College of Horticulture, South China Agricultural University, Guangzhou, 510642, China
| | - Guangguang Li
- Guangzhou Academy of Agricultural and Rural Sciences, Guangzhou, 510335, China
| | - Ding Jiang
- Guangzhou Academy of Agricultural Sciences, Guangzhou, 510335, China
| | - Fanchong Yuan
- Guangzhou Academy of Agricultural Sciences, Guangzhou, 510335, China
| | - Yansong Zheng
- Guangzhou Academy of Agricultural and Rural Sciences, Guangzhou, 510335, China
| | - Bihao Cao
- College of Horticulture, South China Agricultural University, Guangzhou, 510642, China
| | - Hua Zhang
- Guangzhou Academy of Agricultural Sciences, Guangzhou, 510335, China.
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Yin Z, Wei X, Cao Y, Dong Z, Long Y, Wan X. Regulatory balance between ear rot resistance and grain yield and their breeding applications in maize and other crops. J Adv Res 2024:S2090-1232(24)00479-X. [PMID: 39447642 DOI: 10.1016/j.jare.2024.10.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Revised: 10/19/2024] [Accepted: 10/20/2024] [Indexed: 10/26/2024] Open
Abstract
BACKGROUND Fungi are prevalent pathogens that cause substantial yield losses of major crops. Ear rot (ER), which is primarily induced by Fusarium or Aspergillus species, poses a significant challenge to maize production worldwide. ER resistance is regulated by several small effect quantitative trait loci (QTLs). To date, only a few ER-related genes have been identified that impede molecular breeding efforts to breed ER-resistant maize varieties. AIM OF REVIEW Our aim here is to explore the research progress and mine genic resources related to ER resistance, and to propose a regulatory model elucidating the ER-resistant mechanism in maize as well as a trade-off model illustrating how crops balance fungal resistance and grain yield. Key Scientific Concepts of Review: This review presents a comprehensive bibliometric analysis of the research history and current trends in the genetic and molecular regulation underlying ER resistance in maize. Moreover, we analyzed and discovered the genic resources by identifying 162 environmentally stable loci (ESLs) from various independent forward genetics studies as well as 1391 conservatively differentially expressed genes (DEGs) that respond to Fusarium or Aspergillus infection through multi-omics data analysis. Additionally, this review discusses the syntenies found among maize ER, wheat Fusariumhead blight (FHB), and rice Bakanaedisease (RBD) resistance-related loci, along with the significant overlap between fungal resistance loci and reported yield-related loci, thus providing valuable insights into the regulatory mechanisms underlying the trade-offs between yield and defense in crops.
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Affiliation(s)
- Zechao Yin
- Research Institute of Biology and Agriculture, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Xun Wei
- Research Institute of Biology and Agriculture, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China; Beijing Engineering Laboratory of Main Crop Bio-Tech Breeding, Beijing International Science and Technology Cooperation Base of Bio-Tech Breeding, Zhongzhi International Institute of Agricultural Biosciences, Beijing 100192, China
| | - Yanyong Cao
- Institute of Cereal Crops, Henan Academy of Agricultural Sciences, Zhengzhou 450002, China
| | - Zhenying Dong
- Research Institute of Biology and Agriculture, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China; Beijing Engineering Laboratory of Main Crop Bio-Tech Breeding, Beijing International Science and Technology Cooperation Base of Bio-Tech Breeding, Zhongzhi International Institute of Agricultural Biosciences, Beijing 100192, China.
| | - Yan Long
- Research Institute of Biology and Agriculture, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China; Beijing Engineering Laboratory of Main Crop Bio-Tech Breeding, Beijing International Science and Technology Cooperation Base of Bio-Tech Breeding, Zhongzhi International Institute of Agricultural Biosciences, Beijing 100192, China.
| | - Xiangyuan Wan
- Research Institute of Biology and Agriculture, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China; Beijing Engineering Laboratory of Main Crop Bio-Tech Breeding, Beijing International Science and Technology Cooperation Base of Bio-Tech Breeding, Zhongzhi International Institute of Agricultural Biosciences, Beijing 100192, China.
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Mascarenhas MS, Nascimento FDS, Rocha ADJ, Ferreira MDS, Oliveira WDDS, Morais Lino LS, Mendes TADO, Ferreira CF, dos Santos-Serejo JA, Amorim EP. Use of CRISPR Technology in Gene Editing for Tolerance to Biotic Factors in Plants: A Systematic Review. Curr Issues Mol Biol 2024; 46:11086-11123. [PMID: 39451539 PMCID: PMC11505962 DOI: 10.3390/cimb46100659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2024] [Revised: 09/24/2024] [Accepted: 09/30/2024] [Indexed: 10/26/2024] Open
Abstract
The objective of this systematic review (SR) was to select studies on the use of gene editing by CRISPR technology related to plant resistance to biotic stresses. We sought to evaluate articles deposited in six electronic databases, using pre-defined inclusion and exclusion criteria. This SR demonstrates that countries such as China and the United States of America stand out in studies with CRISPR/Cas. Among the most studied crops are rice, tomatoes and the model plant Arabidopsis thaliana. The most cited biotic agents include the genera, Xanthomonas, Manaporthe, Pseudomonas and Phytophthora. This SR also identifies several CRISPR/Cas-edited genes and demonstrates that plant responses to stressors are mediated by many complex signaling pathways. The Cas9 enzyme is used in most articles and Cas12 and 13 are used as additional editing tools. Furthermore, the quality of the articles included in this SR was validated by a risk of bias analysis. The information collected in this SR helps to understand the state of the art of CRISPR/Cas aimed at improving resistance to diseases and pests to understand the mechanisms involved in most host-pathogen relationships. This SR shows that the CRISPR/Cas system provides a straightforward method for rapid gene targeting, providing useful information for plant breeding programs.
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Affiliation(s)
- Marcelly Santana Mascarenhas
- Department of Biological Sciences, Feira de Santana State University, Feira de Santana 44036-900, BA, Brazil; (M.S.M.); (W.D.d.S.O.)
| | - Fernanda dos Santos Nascimento
- Embrapa Mandioca e Fruticultura, Cruz das Almas 44380-000, BA, Brazil; (F.d.S.N.); (A.d.J.R.); (M.d.S.F.); (L.S.M.L.); (C.F.F.); (J.A.d.S.-S.)
| | - Anelita de Jesus Rocha
- Embrapa Mandioca e Fruticultura, Cruz das Almas 44380-000, BA, Brazil; (F.d.S.N.); (A.d.J.R.); (M.d.S.F.); (L.S.M.L.); (C.F.F.); (J.A.d.S.-S.)
| | - Mileide dos Santos Ferreira
- Embrapa Mandioca e Fruticultura, Cruz das Almas 44380-000, BA, Brazil; (F.d.S.N.); (A.d.J.R.); (M.d.S.F.); (L.S.M.L.); (C.F.F.); (J.A.d.S.-S.)
| | | | - Lucymeire Souza Morais Lino
- Embrapa Mandioca e Fruticultura, Cruz das Almas 44380-000, BA, Brazil; (F.d.S.N.); (A.d.J.R.); (M.d.S.F.); (L.S.M.L.); (C.F.F.); (J.A.d.S.-S.)
| | | | - Claudia Fortes Ferreira
- Embrapa Mandioca e Fruticultura, Cruz das Almas 44380-000, BA, Brazil; (F.d.S.N.); (A.d.J.R.); (M.d.S.F.); (L.S.M.L.); (C.F.F.); (J.A.d.S.-S.)
| | - Janay Almeida dos Santos-Serejo
- Embrapa Mandioca e Fruticultura, Cruz das Almas 44380-000, BA, Brazil; (F.d.S.N.); (A.d.J.R.); (M.d.S.F.); (L.S.M.L.); (C.F.F.); (J.A.d.S.-S.)
| | - Edson Perito Amorim
- Embrapa Mandioca e Fruticultura, Cruz das Almas 44380-000, BA, Brazil; (F.d.S.N.); (A.d.J.R.); (M.d.S.F.); (L.S.M.L.); (C.F.F.); (J.A.d.S.-S.)
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6
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Ghimire S, Hasan MM, Fang XW. Small ubiquitin-like modifiers E3 ligases in plant stress. FUNCTIONAL PLANT BIOLOGY : FPB 2024; 51:FP24032. [PMID: 38669463 DOI: 10.1071/fp24032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Accepted: 04/05/2024] [Indexed: 04/28/2024]
Abstract
Plants regularly encounter various environmental stresses such as salt, drought, cold, heat, heavy metals and pathogens, leading to changes in their proteome. Of these, a post-translational modification, SUMOylation is particularly significant for its extensive involvement in regulating various plant molecular processes to counteract these external stressors. Small ubiquitin-like modifiers (SUMO) protein modification significantly contributes to various plant functions, encompassing growth, development and response to environmental stresses. The SUMO system has a limited number of ligases even in fully sequenced plant genomes but SUMO E3 ligases are pivotal in recognising substrates during the process of SUMOylation. E3 ligases play pivotal roles in numerous biological and developmental processes in plants, including DNA repair, photomorphogenesis, phytohormone signalling and responses to abiotic and biotic stress. A considerable number of targets for E3 ligases are proteins implicated in reactions to abiotic and biotic stressors. This review sheds light on how plants respond to environmental stresses by focusing on recent findings on the role of SUMO E3 ligases, contributing to a better understanding of how plants react at a molecular level to such stressors.
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Affiliation(s)
- Shantwana Ghimire
- State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou, Gansu 730000, China
| | - Md Mahadi Hasan
- State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou, Gansu 730000, China
| | - Xiang-Wen Fang
- State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou, Gansu 730000, China
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Zhu P, Li H, Lu T, Liang R, Wan B. Combined analysis of mRNA and miRNA transcriptomes reveals the regulatory mechanism of Xanthomonas arboricola pv pruni resistance in Prunus persica. BMC Genomics 2024; 25:214. [PMID: 38413907 PMCID: PMC10898114 DOI: 10.1186/s12864-024-10113-8] [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: 08/10/2023] [Accepted: 02/11/2024] [Indexed: 02/29/2024] Open
Abstract
BACKGROUND Peach bacterial shot hole, caused by Xanthomonas arboricola pv pruni (Xap), is a global bacterial disease that poses a threat to the yield and quality of cultivated peach trees (Prunus persica). RESULTS This study compared the mRNA and miRNA profiles of two peach varieties, 'Yanbao' (resistant) and 'Yingzui' (susceptible), after inoculation with Xap to identify miRNAs and target genes associated with peach tree resistance. mRNA sequencing results revealed that in the S0-vs-S3 comparison group, 1574 genes were upregulated and 3975 genes were downregulated. In the R0-vs-R3 comparison group, 1575 genes were upregulated and 3726 genes were downregulated. Through miRNA sequencing, a total of 112 known miRNAs belonging to 70 miRNA families and 111 new miRNAs were identified. Notably, some miRNAs were exclusively expressed in either resistant or susceptible varieties. Additionally, 59 miRNAs were downregulated and 69 miRNAs were upregulated in the R0-vs-R3 comparison group, while 46 miRNAs were downregulated and 52 miRNAs were upregulated in the S0-vs-S3 comparison group. Joint analysis of mRNA and miRNA identified 79 relationship pairs in the S0-vs-S3 comparison group, consisting of 48 miRNAs and 51 target genes. In the R0-vs-R3 comparison group, there were 58 relationship pairs, comprising 28 miRNAs and 20 target genes. Several target genes related to resistance, such as SPL6, TIFY6B, and Prupe.4G041800_v2.0.a1 (PPO), were identified through literature reports and GO/KEGG enrichment analysis. CONCLUSION In conclusion, this study discovered several candidate genes involved in peach tree resistance by analyzing differential expression of mRNA and miRNA. These findings provide valuable insights into the mechanisms underlying resistance to Xap in peach trees.
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Affiliation(s)
- Pengxiang Zhu
- Guangxi Academy of Specialty Crops, Guilin, 541004, China
- Guangxi Laboratory of Germplasm Innovation and Utilization of Specialty Commercial Crops in North Guangxi, Guilin, 541004, China
| | - Haiyan Li
- Guangxi Academy of Specialty Crops, Guilin, 541004, China
- Guangxi Laboratory of Germplasm Innovation and Utilization of Specialty Commercial Crops in North Guangxi, Guilin, 541004, China
| | - Tailiang Lu
- Guangxi Academy of Specialty Crops, Guilin, 541004, China
- Guangxi Laboratory of Germplasm Innovation and Utilization of Specialty Commercial Crops in North Guangxi, Guilin, 541004, China
| | - Ruizheng Liang
- Guangxi Academy of Specialty Crops, Guilin, 541004, China.
- Guangxi Laboratory of Germplasm Innovation and Utilization of Specialty Commercial Crops in North Guangxi, Guilin, 541004, China.
| | - Baoxiong Wan
- Guangxi Academy of Specialty Crops, Guilin, 541004, China.
- Guangxi Laboratory of Germplasm Innovation and Utilization of Specialty Commercial Crops in North Guangxi, Guilin, 541004, China.
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Gao J, Li J, Zhang J, Sun Y, Ju X, Li W, Duan H, Xue Z, Sun L, Hussain Sahito J, Fu Z, Zhang X, Tang J. Identification of Novel QTL for Mercury Accumulation in Maize Using an Enlarged SNP Panel. Genes (Basel) 2024; 15:257. [PMID: 38397246 PMCID: PMC10888321 DOI: 10.3390/genes15020257] [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: 01/10/2024] [Revised: 02/14/2024] [Accepted: 02/17/2024] [Indexed: 02/25/2024] Open
Abstract
Mercury (Hg) pollution not only poses a threat to the environment but also adversely affects the growth and development of plants, with potential repercussions for animals and humans through bioaccumulation in the food chain. Maize, a crucial source of food, industrial materials, and livestock feed, requires special attention in understanding the genetic factors influencing mercury accumulation. Developing maize varieties with low mercury accumulation is vital for both maize production and human health. In this study, a comprehensive genome-wide association study (GWAS) was conducted using an enlarged SNP panel comprising 1.25 million single nucleotide polymorphisms (SNPs) in 230 maize inbred lines across three environments. The analysis identified 111 significant SNPs within 78 quantitative trait loci (QTL), involving 169 candidate genes under the Q model. Compared to the previous study, the increased marker density and optimized statistical model led to the discovery of 74 additional QTL, demonstrating improved statistical power. Gene ontology (GO) enrichment analysis revealed that most genes participate in arsenate reduction and stress responses. Notably, GRMZM2G440968, which has been reported in previous studies, is associated with the significant SNP chr6.S_155668107 in axis tissue. It encodes a cysteine proteinase inhibitor, implying its potential role in mitigating mercury toxicity by inhibiting cysteine. Haplotype analyses provided further insights, indicating that lines carrying hap3 exhibited the lowest mercury content compared to other haplotypes. In summary, our study significantly enhances the statistical power of GWAS, identifying additional genes related to mercury accumulation and metabolism. These findings offer valuable insights into unraveling the genetic basis of mercury content in maize and contribute to the development of maize varieties with low mercury accumulation.
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Affiliation(s)
- Jionghao Gao
- Key Laboratory of Wheat and Maize Crops Science, College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China; (J.G.); (J.L.); (J.Z.); (Y.S.); (X.J.); (W.L.); (H.D.); (Z.X.); (L.S.); (J.H.S.); (Z.F.)
| | - Jianxin Li
- Key Laboratory of Wheat and Maize Crops Science, College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China; (J.G.); (J.L.); (J.Z.); (Y.S.); (X.J.); (W.L.); (H.D.); (Z.X.); (L.S.); (J.H.S.); (Z.F.)
| | - Jihong Zhang
- Key Laboratory of Wheat and Maize Crops Science, College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China; (J.G.); (J.L.); (J.Z.); (Y.S.); (X.J.); (W.L.); (H.D.); (Z.X.); (L.S.); (J.H.S.); (Z.F.)
| | - Yan Sun
- Key Laboratory of Wheat and Maize Crops Science, College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China; (J.G.); (J.L.); (J.Z.); (Y.S.); (X.J.); (W.L.); (H.D.); (Z.X.); (L.S.); (J.H.S.); (Z.F.)
| | - Xiaolong Ju
- Key Laboratory of Wheat and Maize Crops Science, College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China; (J.G.); (J.L.); (J.Z.); (Y.S.); (X.J.); (W.L.); (H.D.); (Z.X.); (L.S.); (J.H.S.); (Z.F.)
| | - Wenlong Li
- Key Laboratory of Wheat and Maize Crops Science, College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China; (J.G.); (J.L.); (J.Z.); (Y.S.); (X.J.); (W.L.); (H.D.); (Z.X.); (L.S.); (J.H.S.); (Z.F.)
| | - Haiyang Duan
- Key Laboratory of Wheat and Maize Crops Science, College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China; (J.G.); (J.L.); (J.Z.); (Y.S.); (X.J.); (W.L.); (H.D.); (Z.X.); (L.S.); (J.H.S.); (Z.F.)
| | - Zhengjie Xue
- Key Laboratory of Wheat and Maize Crops Science, College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China; (J.G.); (J.L.); (J.Z.); (Y.S.); (X.J.); (W.L.); (H.D.); (Z.X.); (L.S.); (J.H.S.); (Z.F.)
| | - Li Sun
- Key Laboratory of Wheat and Maize Crops Science, College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China; (J.G.); (J.L.); (J.Z.); (Y.S.); (X.J.); (W.L.); (H.D.); (Z.X.); (L.S.); (J.H.S.); (Z.F.)
| | - Javed Hussain Sahito
- Key Laboratory of Wheat and Maize Crops Science, College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China; (J.G.); (J.L.); (J.Z.); (Y.S.); (X.J.); (W.L.); (H.D.); (Z.X.); (L.S.); (J.H.S.); (Z.F.)
| | - Zhiyuan Fu
- Key Laboratory of Wheat and Maize Crops Science, College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China; (J.G.); (J.L.); (J.Z.); (Y.S.); (X.J.); (W.L.); (H.D.); (Z.X.); (L.S.); (J.H.S.); (Z.F.)
| | - Xuehai Zhang
- Key Laboratory of Wheat and Maize Crops Science, College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China; (J.G.); (J.L.); (J.Z.); (Y.S.); (X.J.); (W.L.); (H.D.); (Z.X.); (L.S.); (J.H.S.); (Z.F.)
| | - Jihua Tang
- Key Laboratory of Wheat and Maize Crops Science, College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China; (J.G.); (J.L.); (J.Z.); (Y.S.); (X.J.); (W.L.); (H.D.); (Z.X.); (L.S.); (J.H.S.); (Z.F.)
- The Shennong Laboratory, Zhengzhou 450002, China
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Li J, Fan T, Zhang Y, Xing Y, Chen M, Wang Y, Gao J, Zhang N, Tian J, Zhao C, Zhen S, Fu J, Mu X, Tang J, Niu H, Gou M. Characterization and fine mapping of a maize lesion mimic mutant (Les8) with enhanced resistance to Curvularia leaf spot and southern leaf blight. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 137:7. [PMID: 38093101 DOI: 10.1007/s00122-023-04511-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 11/18/2023] [Indexed: 12/18/2023]
Abstract
KEY MESSAGE A novel light-dependent dominant lesion mimic mutant with enhanced multiple disease resistance was physiologically, biochemically, and genetically characterized; the causal gene was fine mapped to a 909 kb interval containing 38 genes. Identification of genes that confer multiple disease resistance (MDR) is crucial for the improvement of maize disease resistance. However, very limited genes are identified as MDR genes in maize. In this study, we characterized a dominant disease lesion mimics 8 (Les8) mutant that had chlorotic lesions on the leaves and showed enhanced resistance to both curvularia leaf spot and southern leaf blight. Major agronomic traits were not obviously altered, while decreased chlorophyll content was observed in the mutant, and the genetic effect of the Les8 mutation was stable in different genetic backgrounds. By BSR-seq analysis and map-based cloning, the LES8 gene was mapped into a 909 kb region containing 38 candidate genes on chromosome 9 wherein no lesion mimic or disease-resistance genes were previously reported. Using transcriptomics analysis, we found that genes involved in defense responses and secondary metabolite biosynthesis were enriched in the significantly up-regulated genes, while genes involved in photosynthesis and carbohydrate-related pathways were enriched in the significantly down-regulated genes in Les8. In addition, there was an overaccumulation of jasmonic acid and lignin but not salicylic acid in Les8. Taken together, this study revealed candidate genes and potential mechanism underlying Les8-conferred MDR in maize.
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Affiliation(s)
- Jiankun Li
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
- The Shennong Laboratory, Zhengzhou, 450002, Henan, China
| | - Tianyuan Fan
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Ying Zhang
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Ye Xing
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Mengyao Chen
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Ying Wang
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Jie Gao
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Na Zhang
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Jinjun Tian
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Chenyang Zhao
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
| | - Sihan Zhen
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Junjie Fu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xiaohuan Mu
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
- The Shennong Laboratory, Zhengzhou, 450002, Henan, China
| | - Jihua Tang
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China
- The Shennong Laboratory, Zhengzhou, 450002, Henan, China
| | - Hongbin Niu
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China.
| | - Mingyue Gou
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou, 450002, China.
- The Shennong Laboratory, Zhengzhou, 450002, Henan, China.
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