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Chu YH, Lee YS, Gomez-Cano F, Gomez-Cano L, Zhou P, Doseff AI, Springer N, Grotewold E. Molecular mechanisms underlying gene regulatory variation of maize metabolic traits. THE PLANT CELL 2024; 36:3709-3728. [PMID: 38922302 DOI: 10.1093/plcell/koae180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 04/17/2024] [Accepted: 06/17/2024] [Indexed: 06/27/2024]
Abstract
Variation in gene expression levels is pervasive among individuals and races or varieties, and has substantial agronomic consequences, for example, by contributing to hybrid vigor. Gene expression level variation results from mutations in regulatory sequences (cis) and/or transcription factor (TF) activity (trans), but the mechanisms underlying cis- and/or trans-regulatory variation of complex phenotypes remain largely unknown. Here, we investigated gene expression variation mechanisms underlying the differential accumulation of the insecticidal compounds maysin and chlorogenic acid in silks of widely used maize (Zea mays) inbreds, B73 and A632. By combining transcriptomics and cistromics, we identified 1,338 silk direct targets of the maize R2R3-MYB TF Pericarp color1 (P1), consistent with it being a regulator of maysin and chlorogenic acid biosynthesis. Among these P1 targets, 464 showed allele-specific expression (ASE) between B73 and A632 silks. Allelic DNA-affinity purification sequencing identified 34 examples in which P1 allelic specific binding (ASB) correlated with cis-expression variation. From previous yeast one-hybrid studies, we identified 9 TFs potentially implicated in the control of P1 targets, with ASB to 83 out of 464 ASE genes (cis) and differential expression of 4 out of 9 TFs between B73 and A632 silks (trans). These results provide a molecular framework for understanding universal mechanisms underlying natural variation of gene expression levels, and how the regulation of metabolic diversity is established.
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Affiliation(s)
- Yi-Hsuan Chu
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, USA
| | - Yun Sun Lee
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, USA
| | - Fabio Gomez-Cano
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, USA
| | - Lina Gomez-Cano
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, USA
| | - Peng Zhou
- Department of Plant and Microbial Biology, University of Minnesota, St. Paul, MN 55108, USA
| | - Andrea I Doseff
- Department of Physiology and Department of Pharmacology & Toxicology, Michigan State University, East Lansing, MI 48824, USA
| | - Nathan Springer
- Department of Plant and Microbial Biology, University of Minnesota, St. Paul, MN 55108, USA
| | - Erich Grotewold
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, USA
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Ren J, Gao Z, Lu Y, Li M, Hong J, Wu J, Wu D, Deng W, Xi D, Chong Y. Application of GWAS and mGWAS in Livestock and Poultry Breeding. Animals (Basel) 2024; 14:2382. [PMID: 39199916 PMCID: PMC11350712 DOI: 10.3390/ani14162382] [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: 06/18/2024] [Revised: 08/04/2024] [Accepted: 08/15/2024] [Indexed: 09/01/2024] Open
Abstract
In recent years, genome-wide association studies (GWAS) and metabolome genome-wide association studies (mGWAS) have emerged as crucial methods for investigating complex traits in animals and plants. These have played pivotal roles in research on livestock and poultry breeding, facilitating a deeper understanding of genetic diversity, the relationship between genes, and genetic bases in livestock and poultry. This article provides a review of the applications of GWAS and mGWAS in animal genetic breeding, aiming to offer reference and inspiration for relevant researchers, promote innovation in animal genetic improvement and breeding methods, and contribute to the sustainable development of animal husbandry.
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Affiliation(s)
- Jing Ren
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guizhou University, Guiyang 550025, China;
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Z.G.); : (M.L.); (J.H.); (J.W.); (D.W.); (W.D.)
| | - Zhendong Gao
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Z.G.); : (M.L.); (J.H.); (J.W.); (D.W.); (W.D.)
| | - Ying Lu
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Z.G.); : (M.L.); (J.H.); (J.W.); (D.W.); (W.D.)
| | - Mengfei Li
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Z.G.); : (M.L.); (J.H.); (J.W.); (D.W.); (W.D.)
| | - Jieyun Hong
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Z.G.); : (M.L.); (J.H.); (J.W.); (D.W.); (W.D.)
| | - Jiao Wu
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Z.G.); : (M.L.); (J.H.); (J.W.); (D.W.); (W.D.)
| | - Dongwang Wu
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Z.G.); : (M.L.); (J.H.); (J.W.); (D.W.); (W.D.)
| | - Weidong Deng
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Z.G.); : (M.L.); (J.H.); (J.W.); (D.W.); (W.D.)
| | - Dongmei Xi
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Z.G.); : (M.L.); (J.H.); (J.W.); (D.W.); (W.D.)
| | - Yuqing Chong
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (Z.G.); : (M.L.); (J.H.); (J.W.); (D.W.); (W.D.)
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Gomez-Cano F, Rodriguez J, Zhou P, Chu YH, Magnusson E, Gomez-Cano L, Krishnan A, Springer NM, de Leon N, Grotewold E. Prioritizing Maize Metabolic Gene Regulators through Multi-Omic Network Integration. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.26.582075. [PMID: 38464086 PMCID: PMC10925184 DOI: 10.1101/2024.02.26.582075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Elucidating gene regulatory networks is a major area of study within plant systems biology. Phenotypic traits are intricately linked to specific gene expression profiles. These expression patterns arise primarily from regulatory connections between sets of transcription factors (TFs) and their target genes. Here, we integrated 46 co-expression networks, 283 protein-DNA interaction (PDI) assays, and 16 million SNPs used to identify expression quantitative trait loci (eQTL) to construct TF-target networks. In total, we analyzed ∼4.6M interactions to generate four distinct types of TF-target networks: co-expression, PDI, trans -eQTL, and cis -eQTL combined with PDIs. To functionally annotate TFs based on their target genes, we implemented three different network integration strategies. We evaluated the effectiveness of each strategy through TF loss-of function mutant inspection and random network analyses. The multi-network integration allowed us to identify transcriptional regulators of several biological processes. Using the topological properties of the fully integrated network, we identified potential functionally redundant TF paralogs. Our findings retrieved functions previously documented for numerous TFs and revealed novel functions that are crucial for informing the design of future experiments. The approach here-described lays the foundation for the integration of multi-omic datasets in maize and other plant systems. GRAPHICAL ABSTRACT
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Chen K, Alexander LE, Mahgoub U, Okazaki Y, Higashi Y, Perera AM, Showman LJ, Loneman D, Dennison TS, Lopez M, Claussen R, Peddicord L, Saito K, Lauter N, Dorman KS, Nikolau BJ, Yandeau-Nelson MD. Dynamic relationships among pathways producing hydrocarbons and fatty acids of maize silk cuticular waxes. PLANT PHYSIOLOGY 2024; 195:2234-2255. [PMID: 38537616 PMCID: PMC11213258 DOI: 10.1093/plphys/kiae150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 02/06/2024] [Indexed: 06/30/2024]
Abstract
The hydrophobic cuticle is the first line of defense between aerial portions of plants and the external environment. On maize (Zea mays L.) silks, the cuticular cutin matrix is infused with cuticular waxes, consisting of a homologous series of very long-chain fatty acids (VLCFAs), aldehydes, and hydrocarbons. Together with VLC fatty-acyl-CoAs (VLCFA-CoAs), these metabolites serve as precursors, intermediates, and end-products of the cuticular wax biosynthetic pathway. To deconvolute the potentially confounding impacts of the change in silk microenvironment and silk development on this pathway, we profiled cuticular waxes on the silks of the inbreds B73 and Mo17, and their reciprocal hybrids. Multivariate interrogation of these metabolite abundance data demonstrates that VLCFA-CoAs and total free VLCFAs are positively correlated with the cuticular wax metabolome, and this metabolome is primarily affected by changes in the silk microenvironment and plant genotype. Moreover, the genotype effect on the pathway explains the increased accumulation of cuticular hydrocarbons with a concomitant reduction in cuticular VLCFA accumulation on B73 silks, suggesting that the conversion of VLCFA-CoAs to hydrocarbons is more effective in B73 than Mo17. Statistical modeling of the ratios between cuticular hydrocarbons and cuticular VLCFAs reveals a significant role of precursor chain length in determining this ratio. This study establishes the complexity of the product-precursor relationships within the silk cuticular wax-producing network by dissecting both the impact of genotype and the allocation of VLCFA-CoA precursors to different biological processes and demonstrates that longer chain VLCFA-CoAs are preferentially utilized for hydrocarbon biosynthesis.
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Affiliation(s)
- Keting Chen
- Department of Genetics, Development & Cell Biology, Iowa State University, Ames, IA 50011, USA
- Bioinformatics & Computational Biology Graduate Program, Iowa State University, Ames, IA 50011, USA
| | - Liza E Alexander
- Roy J. Carver Department of Biochemistry, Biophysics & Molecular Biology, Iowa State University, Ames, IA 50011, USA
| | - Umnia Mahgoub
- Department of Genetics, Development & Cell Biology, Iowa State University, Ames, IA 50011, USA
| | - Yozo Okazaki
- Metabolomics Research Group, RIKEN Center for Sustainable Resource Science, Yokohama, Kanagawa 230-0045, Japan
- Graduate School of Bioresources, Mie University, Tsu, Mie 514-8507, Japan
| | - Yasuhiro Higashi
- Metabolomics Research Group, RIKEN Center for Sustainable Resource Science, Yokohama, Kanagawa 230-0045, Japan
| | - Ann M Perera
- W.M. Keck Metabolomics Research Laboratory, Iowa State University, Ames, IA 50011, USA
| | - Lucas J Showman
- W.M. Keck Metabolomics Research Laboratory, Iowa State University, Ames, IA 50011, USA
| | - Derek Loneman
- Department of Genetics, Development & Cell Biology, Iowa State University, Ames, IA 50011, USA
| | - Tesia S Dennison
- Department of Plant Pathology & Microbiology, Iowa State University, Ames, IA 50011, USA
- Interdepartmental Genetics & Genomics Graduate Program, Iowa State University, Ames, IA 50011, USA
| | - Miriam Lopez
- Corn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA 50011, USA
| | - Reid Claussen
- Department of Genetics, Development & Cell Biology, Iowa State University, Ames, IA 50011, USA
| | - Layton Peddicord
- Department of Plant Pathology & Microbiology, Iowa State University, Ames, IA 50011, USA
- Interdepartmental Genetics & Genomics Graduate Program, Iowa State University, Ames, IA 50011, USA
| | - Kazuki Saito
- Metabolomics Research Group, RIKEN Center for Sustainable Resource Science, Yokohama, Kanagawa 230-0045, Japan
| | - Nick Lauter
- Department of Plant Pathology & Microbiology, Iowa State University, Ames, IA 50011, USA
- Interdepartmental Genetics & Genomics Graduate Program, Iowa State University, Ames, IA 50011, USA
- Corn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA 50011, USA
| | - Karin S Dorman
- Department of Genetics, Development & Cell Biology, Iowa State University, Ames, IA 50011, USA
- Bioinformatics & Computational Biology Graduate Program, Iowa State University, Ames, IA 50011, USA
- Department of Statistics, Iowa State University, Ames, IA 50011, USA
| | - Basil J Nikolau
- Bioinformatics & Computational Biology Graduate Program, Iowa State University, Ames, IA 50011, USA
- Roy J. Carver Department of Biochemistry, Biophysics & Molecular Biology, Iowa State University, Ames, IA 50011, USA
- Interdepartmental Genetics & Genomics Graduate Program, Iowa State University, Ames, IA 50011, USA
- Center for Metabolic Biology, Iowa State University, Ames, IA 50011, USA
| | - Marna D Yandeau-Nelson
- Department of Genetics, Development & Cell Biology, Iowa State University, Ames, IA 50011, USA
- Bioinformatics & Computational Biology Graduate Program, Iowa State University, Ames, IA 50011, USA
- Interdepartmental Genetics & Genomics Graduate Program, Iowa State University, Ames, IA 50011, USA
- Center for Metabolic Biology, Iowa State University, Ames, IA 50011, USA
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Zhang L, Fu M, Li W, Dong Y, Zhou Q, Wang Q, Li X, Gao J, Wang Y, Wang H, Li Y, Wang J, Wu Y, Li Y. Genetic variation in ZmKW1 contributes to kernel weight and size in dent corn and popcorn. PLANT BIOTECHNOLOGY JOURNAL 2024; 22:1453-1467. [PMID: 38163293 PMCID: PMC11123423 DOI: 10.1111/pbi.14279] [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: 06/20/2023] [Revised: 11/04/2023] [Accepted: 12/14/2023] [Indexed: 01/03/2024]
Abstract
Kernel weight is a critical factor that essentially affects maize (Zea mays) yield. In natural inbred lines, popcorn kernels exhibit overtly smaller sizes compared to dent corn kernels, and kernel weight, which is controlled by multiple genetic loci, varies widely. Here, we characterized a major quantitative trait locus on chromosome 1, responsible for controlling kernel weight (qKW1) and size. The qKW1 locus encodes a protein containing a seven in absentia domain with E3 ubiquitin ligase activity, expressed prominently from the top to the middle region of the endosperm. The presence and function of qKW1 were confirmed through ZmKW1 gene editing, where the mutations in ZmKW1 within dent corn significantly increased kernel weight, consistent with alterations in kernel size, while overexpression of ZmKW1 had the opposite effect. ZmKW1 acts as a negative regulator of kernel weight and size by reducing both the number and size of the endosperm cells and impacting endosperm filling. Notably, the popcorn allele qKW1N and the dent corn allele qKW1D encode identical proteins; however, the differences in promoter activity arise due to the insertion of an Indel-1346 sequence in the qKW1N promoter, resulting in higher expression levels compared to qKW1D, thus contributing to the variation in kernel weight and size between popcorn and dent corn kernels. Linkage disequilibrium analysis of the 2.8 kb promoter region of ZmKW1 in a dataset comprising 111 maize association panels identified two distinct haplotypes. Our results provide insight into the mechanisms underlying kernel development and yield regulation in dent corn and popcorn, with a specific focus on the role of the ubiquitination system.
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Affiliation(s)
- Long Zhang
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of AgronomyHenan Agricultural UniversityZhengzhouChina
- College of ForestryHenan Agricultural UniversityZhengzhouChina
| | - Miaomiao Fu
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant SciencesShanghai Institute of Plant Physiology and Ecology Chinese Academy of SciencesShanghaiChina
| | - Wenyu Li
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of AgronomyHenan Agricultural UniversityZhengzhouChina
| | - Yongbin Dong
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of AgronomyHenan Agricultural UniversityZhengzhouChina
| | - Qiang Zhou
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of AgronomyHenan Agricultural UniversityZhengzhouChina
- College of AgronomyXinyang Agricultural and Forestry UniversityXinyangChina
| | - Qilei Wang
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of AgronomyHenan Agricultural UniversityZhengzhouChina
| | - Xinyu Li
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of AgronomyHenan Agricultural UniversityZhengzhouChina
| | - Jie Gao
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of AgronomyHenan Agricultural UniversityZhengzhouChina
| | - Yan Wang
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of AgronomyHenan Agricultural UniversityZhengzhouChina
| | - Han Wang
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of AgronomyHenan Agricultural UniversityZhengzhouChina
| | - Yayong Li
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of AgronomyHenan Agricultural UniversityZhengzhouChina
| | - Jiechen Wang
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant SciencesShanghai Institute of Plant Physiology and Ecology Chinese Academy of SciencesShanghaiChina
| | - Yongrui Wu
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant SciencesShanghai Institute of Plant Physiology and Ecology Chinese Academy of SciencesShanghaiChina
| | - Yuling Li
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of AgronomyHenan Agricultural UniversityZhengzhouChina
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Straube H. Exploring the genetic architecture of specialized metabolism in Arabidopsis seeds. PLANT PHYSIOLOGY 2024; 194:1266-1267. [PMID: 37878748 PMCID: PMC10904319 DOI: 10.1093/plphys/kiad554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 10/03/2023] [Accepted: 10/04/2023] [Indexed: 10/27/2023]
Affiliation(s)
- Henryk Straube
- Assistant Features Editor, Plant Physiology, American Society of Plant Biologists
- Faculty of Science, Department of Plant and Environmental Sciences, Section for Plant Biochemistry, University of Copenhagen, 1871 Frederiksberg C, Copenhagen, Denmark
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Mathur S, Singh D, Ranjan R. Recent advances in plant translational genomics for crop improvement. ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY 2024; 139:335-382. [PMID: 38448140 DOI: 10.1016/bs.apcsb.2023.11.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/08/2024]
Abstract
The growing population, climate change, and limited agricultural resources put enormous pressure on agricultural systems. A plateau in crop yields is occurring and extreme weather events and urbanization threaten the livelihood of farmers. It is imperative that immediate attention is paid to addressing the increasing food demand, ensuring resilience against emerging threats, and meeting the demand for more nutritious, safer food. Under uncertain conditions, it is essential to expand genetic diversity and discover novel crop varieties or variations to develop higher and more stable yields. Genomics plays a significant role in developing abundant and nutrient-dense food crops. An alternative to traditional breeding approach, translational genomics is able to improve breeding programs in a more efficient and precise manner by translating genomic concepts into practical tools. Crop breeding based on genomics offers potential solutions to overcome the limitations of conventional breeding methods, including improved crop varieties that provide more nutritional value and are protected from biotic and abiotic stresses. Genetic markers, such as SNPs and ESTs, contribute to the discovery of QTLs controlling agronomic traits and stress tolerance. In order to meet the growing demand for food, there is a need to incorporate QTLs into breeding programs using marker-assisted selection/breeding and transgenic technologies. This chapter primarily focuses on the recent advances that are made in translational genomics for crop improvement and various omics techniques including transcriptomics, metagenomics, pangenomics, single cell omics etc. Numerous genome editing techniques including CRISPR Cas technology and their applications in crop improvement had been discussed.
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Affiliation(s)
- Shivangi Mathur
- Plant Molecular Biology Laboratory, Department of Botany, Faculty of Science, Dayalbagh Educational Institute, Agra, India
| | - Deeksha Singh
- Plant Molecular Biology Laboratory, Department of Botany, Faculty of Science, Dayalbagh Educational Institute, Agra, India
| | - Rajiv Ranjan
- Plant Molecular Biology Laboratory, Department of Botany, Faculty of Science, Dayalbagh Educational Institute, Agra, India.
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Li Y, Su Z, Lin Y, Xu Z, Bao H, Wang F, Liu J, Hu S, Wang Z, Yu X, Gao J. Utilizing transcriptomics and metabolomics to unravel key genes and metabolites of maize seedlings in response to drought stress. BMC PLANT BIOLOGY 2024; 24:34. [PMID: 38185653 PMCID: PMC10773024 DOI: 10.1186/s12870-023-04712-y] [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: 08/16/2023] [Accepted: 12/27/2023] [Indexed: 01/09/2024]
Abstract
BACKGROUND Drought stress can substantially restrict maize growth and productivity, and global warming and an increasing frequency of extreme weather events are likely to result in more yield losses in the future. Therefore, unraveling the molecular mechanism underlying the response to drought stress is essential for breeding drought-resilient crops. RESULTS In this study, we subjected the 3-leaf-period plants of two maize inbred lines, a drought-tolerant line (si287) and a drought-sensitive line (X178), to drought stress for seven days while growing in a chamber. Subsequently, we measured physiological traits and analyzed transcriptomic and metabolic profiles of two inbred lines. Our KEGG analysis of genes and metabolites revealed significant differences in pathways related to glycolysis/gluconeogenesis, flavonoid biosynthesis, starch and sucrose metabolism, and biosynthesis of amino acids. Additionally, our joint analysis identified proline, tryptophan and phenylalanine are crucial amino acids for maize response to drought stress. Furthermore, we concentrated on tryptophan (Trp), which was found to enhance tolerance via IAA-ABA signaling, as well as SA and nicotinamide adenine dinucleotide (NAD) consequent reactive oxygen species (ROS) scavenging. We identified three hub genes in tryptophan biosynthesis, indole-3-acetaldehyde oxidase (ZmAO1, 542,228), catalase 1 (ZmCAT1, 542,369), and flavin-containing monooxygenase 6 (ZmYUC6, 103,629,142), High expression of these genes plays a significant role in regulating drought tolerance. Two metabolites related to tryptophan biosynthesis, quinolinic acid, and kynurenine improved maize tolerance to drought stress by scavenging reactive oxygen species. CONCLUSIONS This study illuminates the mechanisms underlying the response of maize seedlings to drought stress. Especially, it identifies novel candidate genes and metabolites, enriching our understanding of the role of tryptophan in drought stress. The identification of distinct resistance mechanisms in maize inbred lines will facilitate the exploration of maize germplasm and the breeding of drought-resilient hybrids.
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Affiliation(s)
- Yipu Li
- Region Research Center for Conservation and Utilization of Crop Germplasm Resources in Cold and Arid Areas, Agricultural College, Inner Mongolia Agricultural University, Hohhot, China.
| | - Zhijun Su
- Region Research Center for Conservation and Utilization of Crop Germplasm Resources in Cold and Arid Areas, Agricultural College, Inner Mongolia Agricultural University, Hohhot, China
| | - Yanan Lin
- Region Research Center for Conservation and Utilization of Crop Germplasm Resources in Cold and Arid Areas, Agricultural College, Inner Mongolia Agricultural University, Hohhot, China
| | - Zhenghan Xu
- Region Research Center for Conservation and Utilization of Crop Germplasm Resources in Cold and Arid Areas, Agricultural College, Inner Mongolia Agricultural University, Hohhot, China
| | - Haizhu Bao
- Region Research Center for Conservation and Utilization of Crop Germplasm Resources in Cold and Arid Areas, Agricultural College, Inner Mongolia Agricultural University, Hohhot, China
| | - Fugui Wang
- Vocational and Technical College, Inner Mongolia Agricultural University, Baotou, China
| | - Jian Liu
- Vocational and Technical College, Inner Mongolia Agricultural University, Baotou, China
| | - Shuping Hu
- Vocational and Technical College, Inner Mongolia Agricultural University, Baotou, China
| | - Zhigang Wang
- Region Research Center for Conservation and Utilization of Crop Germplasm Resources in Cold and Arid Areas, Agricultural College, Inner Mongolia Agricultural University, Hohhot, China
| | - Xiaofang Yu
- Region Research Center for Conservation and Utilization of Crop Germplasm Resources in Cold and Arid Areas, Agricultural College, Inner Mongolia Agricultural University, Hohhot, China.
| | - Julin Gao
- Region Research Center for Conservation and Utilization of Crop Germplasm Resources in Cold and Arid Areas, Agricultural College, Inner Mongolia Agricultural University, Hohhot, China.
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Wu M, Northen TR, Ding Y. Stressing the importance of plant specialized metabolites: omics-based approaches for discovering specialized metabolism in plant stress responses. FRONTIERS IN PLANT SCIENCE 2023; 14:1272363. [PMID: 38023861 PMCID: PMC10663375 DOI: 10.3389/fpls.2023.1272363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 10/24/2023] [Indexed: 12/01/2023]
Abstract
Plants produce a diverse range of specialized metabolites that play pivotal roles in mediating environmental interactions and stress adaptation. These unique chemical compounds also hold significant agricultural, medicinal, and industrial values. Despite the expanding knowledge of their functions in plant stress interactions, understanding the intricate biosynthetic pathways of these natural products remains challenging due to gene and pathway redundancy, multifunctionality of proteins, and the activity of enzymes with broad substrate specificity. In the past decade, substantial progress in genomics, transcriptomics, metabolomics, and proteomics has made the exploration of plant specialized metabolism more feasible than ever before. Notably, recent advances in integrative multi-omics and computational approaches, along with other technologies, are accelerating the discovery of plant specialized metabolism. In this review, we present a summary of the recent progress in the discovery of plant stress-related specialized metabolites. Emphasis is placed on the application of advanced omics-based approaches and other techniques in studying plant stress-related specialized metabolism. Additionally, we discuss the high-throughput methods for gene functional characterization. These advances hold great promise for harnessing the potential of specialized metabolites to enhance plant stress resilience in the future.
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Affiliation(s)
- Mengxi Wu
- College of Landscape Architecture, Sichuan Agricultural University, Chengdu, China
| | - Trent R. Northen
- Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Yezhang Ding
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
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10
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Wang H, Wang Y, Sang T, Lin Z, Li R, Ren W, Shen X, Zhao B, Wang X, Zhang X, Zhou S, Dai S, Hu H, Song CP, Wang P. Cell type-specific proteomics uncovers a RAF15-SnRK2.6/OST1 kinase cascade in guard cells. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2023; 65:2122-2137. [PMID: 37226855 DOI: 10.1111/jipb.13536] [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: 05/09/2023] [Revised: 05/16/2023] [Accepted: 05/23/2023] [Indexed: 05/26/2023]
Abstract
Multicellular organisms such as plants contain various cell types with specialized functions. Analyzing the characteristics of each cell type reveals specific cell functions and enhances our understanding of organization and function at the organismal level. Guard cells (GCs) are specialized epidermal cells that regulate the movement of the stomata and gaseous exchange, and provide a model genetic system for analyzing cell fate, signaling, and function. Several proteomics analyses of GC are available, but these are limited in depth. Here we used enzymatic isolation and flow cytometry to enrich GC and mesophyll cell protoplasts and perform in-depth proteomics in these two major cell types in Arabidopsis leaves. We identified approximately 3,000 proteins not previously found in the GC proteome and more than 600 proteins that may be specific to GC. The depth of our proteomics enabled us to uncover a guard cell-specific kinase cascade whereby Raf15 and Snf1-related kinase2.6 (SnRK2.6)/OST1(open stomata 1) mediate abscisic acid (ABA)-induced stomatal closure. RAF15 directly phosphorylated SnRK2.6/OST1 at the conserved Ser175 residue in its activation loop and was sufficient to reactivate the inactive form of SnRK2.6/OST1. ABA-triggered SnRK2.6/OST1 activation and stomatal closure was impaired in raf15 mutants. We also showed enrichment of enzymes and flavone metabolism in GC, and consistent, dramatic accumulation of flavone metabolites. Our study answers the long-standing question of how ABA activates SnRK2.6/OST1 in GCs and represents a resource potentially providing further insights into the molecular basis of GC and mesophyll cell development, metabolism, structure, and function.
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Affiliation(s)
- Hongliang Wang
- Shanghai Center for Plant Stress Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 200032, China
| | - Yubei Wang
- Shanghai Center for Plant Stress Biology, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 200032, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Tian Sang
- Institute of Advanced Biotechnology and School of Life Sciences, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Zhen Lin
- Institute of Advanced Biotechnology and School of Life Sciences, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Rongxia Li
- Shanghai Bioprofile Technology Company Ltd, Shanghai, 200241, China
| | - Weiwei Ren
- Center of Plant Germplasm Resources, College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China
| | - Xin Shen
- National Key Laboratory of Crop Genetic Improvement, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Bing Zhao
- State Key Laboratory of Crop Stress Adaptation and Improvement, College of Life Sciences, College of Agriculture, Academy for Advanced Interdisciplinary Studies, Henan University, Kaifeng, 475004, China
| | - Xiao Wang
- State Key Laboratory of Crop Stress Adaptation and Improvement, College of Life Sciences, College of Agriculture, Academy for Advanced Interdisciplinary Studies, Henan University, Kaifeng, 475004, China
| | - Xuebin Zhang
- State Key Laboratory of Crop Stress Adaptation and Improvement, College of Life Sciences, College of Agriculture, Academy for Advanced Interdisciplinary Studies, Henan University, Kaifeng, 475004, 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, 518120, China
| | - Shaojun Dai
- Center of Plant Germplasm Resources, College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China
| | - Honghong Hu
- National Key Laboratory of Crop Genetic Improvement, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Chun-Peng Song
- State Key Laboratory of Crop Stress Adaptation and Improvement, College of Life Sciences, College of Agriculture, Academy for Advanced Interdisciplinary Studies, Henan University, Kaifeng, 475004, China
| | - Pengcheng Wang
- Institute of Advanced Biotechnology and School of Life Sciences, Southern University of Science and Technology, Shenzhen, 518055, China
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11
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Alseekh S, Karakas E, Zhu F, Wijesingha Ahchige M, Fernie AR. Plant biochemical genetics in the multiomics era. JOURNAL OF EXPERIMENTAL BOTANY 2023; 74:4293-4307. [PMID: 37170864 PMCID: PMC10433942 DOI: 10.1093/jxb/erad177] [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: 12/13/2022] [Accepted: 05/09/2023] [Indexed: 05/13/2023]
Abstract
Our understanding of plant biology has been revolutionized by modern genetics and biochemistry. However, biochemical genetics can be traced back to the foundation of Mendelian genetics; indeed, one of Mendel's milestone discoveries of seven characteristics of pea plants later came to be ascribed to a mutation in a starch branching enzyme. Here, we review both current and historical strategies for the elucidation of plant metabolic pathways and the genes that encode their component enzymes and regulators. We use this historical review to discuss a range of classical genetic phenomena including epistasis, canalization, and heterosis as viewed through the lens of contemporary high-throughput data obtained via the array of approaches currently adopted in multiomics studies.
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Affiliation(s)
- Saleh Alseekh
- Max Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany
- Center of Plant Systems Biology and Biotechnology, Plovdiv, Bulgaria
| | - Esra Karakas
- Max Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany
| | - Feng Zhu
- National R&D Center for Citrus Preservation, Key Laboratory of Horticultural Plant Biology, Ministry of Education, Huazhong Agricultural University, 430070 Wuhan, China
| | | | - Alisdair R Fernie
- Max Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany
- Center of Plant Systems Biology and Biotechnology, Plovdiv, Bulgaria
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12
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Oh SW, Imran M, Kim EH, Park SY, Lee SG, Park HM, Jung JW, Ryu TH. Approach strategies and application of metabolomics to biotechnology in plants. FRONTIERS IN PLANT SCIENCE 2023; 14:1192235. [PMID: 37636096 PMCID: PMC10451086 DOI: 10.3389/fpls.2023.1192235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 07/24/2023] [Indexed: 08/29/2023]
Abstract
Metabolomics refers to the technology for the comprehensive analysis of metabolites and low-molecular-weight compounds in a biological system, such as cells or tissues. Metabolites play an important role in biological phenomena through their direct involvement in the regulation of physiological mechanisms, such as maintaining cell homeostasis or signal transmission through protein-protein interactions. The current review aims provide a framework for how the integrated analysis of metabolites, their functional actions and inherent biological information can be used to understand biological phenomena related to the regulation of metabolites and how this information can be applied to safety assessments of crops created using biotechnology. Advancement in technology and analytical instrumentation have led new ways to examine the convergence between biology and chemistry, which has yielded a deeper understanding of complex biological phenomena. Metabolomics can be utilized and applied to safety assessments of biotechnology products through a systematic approach using metabolite-level data processing algorithms, statistical techniques, and database development. The integration of metabolomics data with sequencing data is a key step towards improving additional phenotypical evidence to elucidate the degree of environmental affects for variants found in genome associated with metabolic processes. Moreover, information analysis technology such as big data, machine learning, and IT investment must be introduced to establish a system for data extraction, selection, and metabolomic data analysis for the interpretation of biological implications of biotechnology innovations. This review outlines the integrity of metabolomics assessments in determining the consequences of genetic engineering and biotechnology in plants.
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13
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Alseekh S, Fernie AR. Expanding our coverage: Strategies to detect a greater range of metabolites. CURRENT OPINION IN PLANT BIOLOGY 2023; 73:102335. [PMID: 36689903 DOI: 10.1016/j.pbi.2022.102335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 12/17/2022] [Accepted: 12/26/2022] [Indexed: 06/10/2023]
Abstract
Whilst the study of metabolites can arguably be traced back several hundred years it began in earnest in the 20th century with studies based on single metabolites or simple metabolic pathways. The advent of metabolomics and in particular the adoption of high-resolution mass spectrometry now means we can faithfully annotate and quantify in excess of 1000 plant metabolites. Whilst this is an impressive leap it falls well short of the estimated number of metabolites in the plant kingdom. This, whilst considerable and important insights have been achieved using commonly utilized approaches, there is a need to improve the coverage of the metabolome. Here, we review three largely complementary strategies (i) methods based on using chemical libraries (ii) methods based on molecular networking and (iii) approaches that link metabolomics and genetic variance. It is our contention that using all three approaches in tandem represents the best approach to tackle this challenge.
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Affiliation(s)
- Saleh Alseekh
- Max-Planck-Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476 Potsdam-Golm, Germany; Center for Plant Systems Biology and Biotechnology, 4000, Plovdiv, Bulgaria
| | - Alisdair R Fernie
- Max-Planck-Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476 Potsdam-Golm, Germany; Center for Plant Systems Biology and Biotechnology, 4000, Plovdiv, Bulgaria.
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14
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Yuan P, Xu C, He N, Lu X, Zhang X, Shang J, Zhu H, Gong C, Kuang H, Tang T, Xu Y, Ma S, Sun D, Zhang W, Umer MJ, Shi J, Fernie AR, Liu W, Luo J. Watermelon domestication was shaped by stepwise selection and regulation of the metabolome. SCIENCE CHINA. LIFE SCIENCES 2023; 66:579-594. [PMID: 36346547 DOI: 10.1007/s11427-022-2198-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Accepted: 09/16/2022] [Indexed: 11/11/2022]
Abstract
Although crop domestication has greatly aided human civilization, the sequential domestication and regulation of most quality traits remain poorly understood. Here, we report the stepwise selection and regulation of major fruit quality traits that occurred during watermelon evolution. The levels of fruit cucurbitacins and flavonoids were negatively selected during speciation, whereas sugar and carotenoid contents were positively selected during domestication. Interestingly, fruit malic acid and citric acid showed the opposite selection trends during the improvement. We identified a novel gene cluster (CGC1, cucurbitacin gene cluster on chromosome 1) containing both regulatory and structural genes involved in cucurbitacin biosynthesis, which revealed a cascade of transcriptional regulation operating mechanisms. In the CGC1, an allele caused a single nucleotide change in ClERF1 binding sites (GCC-box) in the promoter of ClBh1, which resulted in reduced expression of ClBh1 and inhibition of cucurbitacin synthesis in cultivated watermelon. Functional analysis revealed that a rare insertion of 244 amino acids, which arose in C. amarus and became fixed in sweet watermelon, in ClOSC (oxidosqualene cyclase) was critical for the negative selection of cucurbitacins during watermelon evolution. This research provides an important resource for metabolomics-assisted breeding in watermelon and for exploring metabolic pathway regulation mechanisms.
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Affiliation(s)
- Pingli Yuan
- Henan Joint International Research Laboratory of South Asian Fruits and Cucurbits, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China
| | - Congping Xu
- Hainan Yazhou Bay Seed Laboratory, Sanya Nanfan Research Institute of Hainan University, Sanya, 572025, China
| | - Nan He
- Henan Joint International Research Laboratory of South Asian Fruits and Cucurbits, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China
| | - Xuqiang Lu
- Henan Joint International Research Laboratory of South Asian Fruits and Cucurbits, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China
| | - Xingping Zhang
- Peking University Institute of Advanced Agricultural Sciences, Weifang, 261325, China
| | - Jianli Shang
- Henan Joint International Research Laboratory of South Asian Fruits and Cucurbits, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China
| | - Hongju Zhu
- Henan Joint International Research Laboratory of South Asian Fruits and Cucurbits, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China
| | - Chengsheng Gong
- Henan Joint International Research Laboratory of South Asian Fruits and Cucurbits, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China
| | - Hanhui Kuang
- College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, 430070, China
| | - Tang Tang
- Wuhan Metware Biotechnology Co., Ltd., Wuhan, 430070, China
| | - Yong Xu
- National Watermelon and Melon Improvement Center, Beijing Academy of Agricultural and Forestry Sciences, Beijing, 100097, China
| | - Shuangwu Ma
- Henan Joint International Research Laboratory of South Asian Fruits and Cucurbits, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China
| | - Dexi Sun
- Henan Joint International Research Laboratory of South Asian Fruits and Cucurbits, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China
| | - Weiqin Zhang
- Wuhan Metware Biotechnology Co., Ltd., Wuhan, 430070, China
| | - Muhammad J Umer
- Henan Joint International Research Laboratory of South Asian Fruits and Cucurbits, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China
| | - Jian Shi
- Wuhan Metware Biotechnology Co., Ltd., Wuhan, 430070, China
| | - Alisdair R Fernie
- Max-Planck-Institute of Molecular Plant Physiology, Potsdam-Golm, 144776, Germany
| | - Wenge Liu
- Henan Joint International Research Laboratory of South Asian Fruits and Cucurbits, Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, 450009, China.
| | - Jie Luo
- Hainan Yazhou Bay Seed Laboratory, Sanya Nanfan Research Institute of Hainan University, Sanya, 572025, China.
- Wuhan Metware Biotechnology Co., Ltd., Wuhan, 430070, China.
- College of Tropical Crops, Hainan University, Haikou, 572208, China.
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15
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Khaipho-Burch M, Ferebee T, Giri A, Ramstein G, Monier B, Yi E, Romay MC, Buckler ES. Elucidating the patterns of pleiotropy and its biological relevance in maize. PLoS Genet 2023; 19:e1010664. [PMID: 36943844 PMCID: PMC10030035 DOI: 10.1371/journal.pgen.1010664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 02/09/2023] [Indexed: 03/23/2023] Open
Abstract
Pleiotropy-when a single gene controls two or more seemingly unrelated traits-has been shown to impact genes with effects on flowering time, leaf architecture, and inflorescence morphology in maize. However, the genome-wide impact of biological pleiotropy across all maize phenotypes is largely unknown. Here, we investigate the extent to which biological pleiotropy impacts phenotypes within maize using GWAS summary statistics reanalyzed from previously published metabolite, field, and expression phenotypes across the Nested Association Mapping population and Goodman Association Panel. Through phenotypic saturation of 120,597 traits, we obtain over 480 million significant quantitative trait nucleotides. We estimate that only 1.56-32.3% of intervals show some degree of pleiotropy. We then assess the relationship between pleiotropy and various biological features such as gene expression, chromatin accessibility, sequence conservation, and enrichment for gene ontology terms. We find very little relationship between pleiotropy and these variables when compared to permuted pleiotropy. We hypothesize that biological pleiotropy of common alleles is not widespread in maize and is highly impacted by nuisance terms such as population structure and linkage disequilibrium. Natural selection on large standing natural variation in maize populations may target wide and large effect variants, leaving the prevalence of detectable pleiotropy relatively low.
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Affiliation(s)
| | - Taylor Ferebee
- Department of Computational Biology, Cornell University, Ithaca, New York
| | - Anju Giri
- Institute for Genomic Diversity, Cornell University, Ithaca, New York
| | - Guillaume Ramstein
- Institute for Genomic Diversity, Cornell University, Ithaca, New York
- Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark
| | - Brandon Monier
- Institute for Genomic Diversity, Cornell University, Ithaca, New York
| | - Emily Yi
- Institute for Genomic Diversity, Cornell University, Ithaca, New York
| | - M Cinta Romay
- Institute for Genomic Diversity, Cornell University, Ithaca, New York
| | - Edward S Buckler
- Section of Plant Breeding and Genetics, Cornell University, Ithaca, New York
- Institute for Genomic Diversity, Cornell University, Ithaca, New York
- USDA-ARS, Ithaca, New York, United States of America
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16
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González-Rodríguez T, Pérez-Limón S, Peniche-Pavía H, Rellán-Álvarez R, Sawers RJH, Winkler R. Genetic mapping of maize metabolites using high-throughput mass profiling. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2023; 326:111530. [PMID: 36368482 DOI: 10.1016/j.plantsci.2022.111530] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 11/02/2022] [Indexed: 06/16/2023]
Abstract
Plant metabolites are the basis of human nutrition and have biological relevance in ecology. Farmers selected plants with favorable characteristics since prehistoric times and improved the cultivars, but without knowledge of underlying mechanisms. Understanding the genetic basis of metabolite production can facilitate the successful breeding of plants with augmented nutritional value. To identify genetic factors related to the metabolic composition in maize, we generated mass profiles of 198 recombinant inbred lines (RILs) and their parents (B73 and Mo17) using direct-injection electrospray ionization mass spectrometry (DLI-ESI MS). Mass profiling allowed the correct clustering of samples according to genotype. We quantified 71 mass features from grains and 236 mass features from leaf extracts. For the corresponding ions, we identified tissue-specific metabolic 'Quantitative Trait Loci' (mQTLs) distributed across the maize genome. These genetic regions could regulate multiple metabolite biosynthesis pathways. Our findings demonstrate that DLI-ESI MS has sufficient analytical resolution to map mQTLs. These identified genetic loci will be helpful in metabolite-focused maize breeding. Mass profiling is a powerful tool for detecting mQTLs in maize and enables the high-throughput screening of loci responsible for metabolite biosynthesis.
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Affiliation(s)
- Tzitziki González-Rodríguez
- Center for Research and Advanced Studies (CINVESTAV) Irapuato, Department of Biotechnology and Biochemistry, Mexico
| | - Sergio Pérez-Limón
- The Pennsylvania State University, Department of Plant Science, State College, PA, USA
| | - Héctor Peniche-Pavía
- Center for Research and Advanced Studies (CINVESTAV) Irapuato, Department of Biotechnology and Biochemistry, Mexico
| | - Rubén Rellán-Álvarez
- North Carolina State University, Department of Molecular and Structural Biochemistry, USA; Unidad de Genómica Avanzada (UGA) - Laboratorio Nacional de Genómica para la Biodiversidad (LANGEBIO), Km. 9.6 Libramiento Norte Carr. Irapuato-León, 36824 Irapuato Gto, Mexico
| | - Ruairidh J H Sawers
- The Pennsylvania State University, Department of Plant Science, State College, PA, USA; Unidad de Genómica Avanzada (UGA) - Laboratorio Nacional de Genómica para la Biodiversidad (LANGEBIO), Km. 9.6 Libramiento Norte Carr. Irapuato-León, 36824 Irapuato Gto, Mexico
| | - Robert Winkler
- Center for Research and Advanced Studies (CINVESTAV) Irapuato, Department of Biotechnology and Biochemistry, Mexico; Unidad de Genómica Avanzada (UGA) - Laboratorio Nacional de Genómica para la Biodiversidad (LANGEBIO), Km. 9.6 Libramiento Norte Carr. Irapuato-León, 36824 Irapuato Gto, Mexico.
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17
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Piasecka A, Sawikowska A, Jedrzejczak-Rey N, Piślewska-Bednarek M, Bednarek P. Targeted and Untargeted Metabolomic Analyses Reveal Organ Specificity of Specialized Metabolites in the Model Grass Brachypodium distachyon. Molecules 2022; 27:molecules27185956. [PMID: 36144695 PMCID: PMC9506550 DOI: 10.3390/molecules27185956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 09/02/2022] [Accepted: 09/03/2022] [Indexed: 11/16/2022] Open
Abstract
Brachypodium distachyon, because of its fully sequenced genome, is frequently used as a model grass species. However, its metabolome, which constitutes an indispensable element of complex biological systems, remains poorly characterized. In this study, we conducted comprehensive, liquid chromatography-mass spectrometry (LC-MS)-based metabolomic examination of roots, leaves and spikes of Brachypodium Bd21 and Bd3-1 lines. Our pathway enrichment analysis emphasised the accumulation of specialized metabolites representing the flavonoid biosynthetic pathway in parallel with processes related to nucleotide, sugar and amino acid metabolism. Similarities in metabolite profiles between both lines were relatively high in roots and leaves while spikes showed higher metabolic variance within both accessions. In roots, differences between Bd21 and Bd3-1 lines were manifested primarily in diterpenoid metabolism, while differences within spikes and leaves concerned nucleotide metabolism and nitrogen management. Additionally, sulphate-containing metabolites differentiated Bd21 and Bd3-1 lines in spikes. Structural analysis based on MS fragmentation spectra enabled identification of 93 specialized metabolites. Among them phenylpropanoids and flavonoids derivatives were mainly determined. As compared with closely related barley and wheat species, metabolic profile of Brachypodium is characterized with presence of threonate derivatives of hydroxycinnamic acids.
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Affiliation(s)
- Anna Piasecka
- Institute of Bioorganic Chemistry, Polish Academy of Sciences, Noskowskiego 12/14, 61-704 Poznań, Poland
- Institute of Plant Genetics, Polish Academy of Sciences, Strzeszyńska 34, 60-479 Poznań, Poland
- Correspondence: (A.P.); (P.B.); Tel.: +48-61-852-85-03 (A.P. & P.B.); Fax: +48-61-852-05-32 (A.P. & P.B.)
| | - Aneta Sawikowska
- Institute of Bioorganic Chemistry, Polish Academy of Sciences, Noskowskiego 12/14, 61-704 Poznań, Poland
- Department of Mathematical and Statistical Methods, Poznań University of Life Sciences, Wojska Polskiego 28, 60-637 Poznań, Poland
| | - Nicolas Jedrzejczak-Rey
- Institute of Bioorganic Chemistry, Polish Academy of Sciences, Noskowskiego 12/14, 61-704 Poznań, Poland
| | - Mariola Piślewska-Bednarek
- Institute of Bioorganic Chemistry, Polish Academy of Sciences, Noskowskiego 12/14, 61-704 Poznań, Poland
| | - Paweł Bednarek
- Institute of Bioorganic Chemistry, Polish Academy of Sciences, Noskowskiego 12/14, 61-704 Poznań, Poland
- Correspondence: (A.P.); (P.B.); Tel.: +48-61-852-85-03 (A.P. & P.B.); Fax: +48-61-852-05-32 (A.P. & P.B.)
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18
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Li Z, Wang J, Fu Y, Jing Y, Huang B, Chen Y, Wang Q, Wang XB, Meng C, Yang Q, Xu L. The Musa troglodytarum L. genome provides insights into the mechanism of non-climacteric behaviour and enrichment of carotenoids. BMC Biol 2022; 20:186. [PMID: 36002843 PMCID: PMC9400310 DOI: 10.1186/s12915-022-01391-3] [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: 12/08/2021] [Accepted: 08/15/2022] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Karat (Musa troglodytarum L.) is an autotriploid Fe'i banana of the Australimusa section. Karat was domesticated independently in the Pacific region, and karat fruit are characterized by a pink sap, a deep yellow-orange flesh colour, and an abundance of β-carotene. Karat fruit showed non-climacteric behaviour, with an approximately 215-day bunch filling time. These features make karat a valuable genetic resource for studying the mechanisms underlying fruit development and ripening and carotenoid biosynthesis. RESULTS Here, we report the genome of M. troglodytarum, which has a total length of 603 Mb and contains 37,577 predicted protein-coding genes. After divergence from the most recent common ancestors, M. troglodytarum (T genome) has experienced fusion of ancestral chromosomes 8 and 9 and multiple translocations and inversions, unlike the high synteny with few rearrangements found among M. schizocarpa (S genome), M. acuminata (A genome) and M. balbisiana (B genome). Genome microsynteny analysis showed that the triplication of MtSSUIIs due to chromosome rearrangement may lead to the accumulation of carotenoids and ABA in the fruit. The expression of duplicated MtCCD4s is repressed during ripening, leading to the accumulation of α-carotene, β-carotene and phytoene. Due to a long terminal repeat (LTR)-like fragment insertion upstream of MtERF11, karat cannot produce large amounts of ethylene but can produce ABA during ripening. These lead to non-climacteric behaviour and prolonged shelf-life, which contributes to an enrichment of carotenoids and riboflavin. CONCLUSIONS The high-quality genome of M. troglodytarum revealed the genomic basis of non-climacteric behaviour and enrichment of carotenoids, riboflavin, flavonoids and free galactose and provides valuable resources for further research on banana domestication and breeding and the improvement of nutritional and bioactive qualities.
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Affiliation(s)
- Zhiying Li
- grid.453499.60000 0000 9835 1415Institute of Tropical Crop Genetic Resources, Chinese Academy of Tropical Agricultural Sciences, Danzhou, 571737 Hainan China ,Ministry of Agriculture Key Laboratory of Crop Gene Resources and Germplasm Enhancement in Southern China, Danzhou, 571737 Hainan China ,Hainan Province Key Laboratory of Tropical Crops Germplasm Resources Genetic Improvement and Innovation, Danzhou, 571737 Hainan China ,National Gene Bank of Tropical Crops, Danzhou, 571700 Hainan China
| | - Jiabin Wang
- grid.453499.60000 0000 9835 1415Institute of Tropical Crop Genetic Resources, Chinese Academy of Tropical Agricultural Sciences, Danzhou, 571737 Hainan China ,Ministry of Agriculture Key Laboratory of Crop Gene Resources and Germplasm Enhancement in Southern China, Danzhou, 571737 Hainan China ,Hainan Province Key Laboratory of Tropical Crops Germplasm Resources Genetic Improvement and Innovation, Danzhou, 571737 Hainan China ,National Gene Bank of Tropical Crops, Danzhou, 571700 Hainan China
| | - Yunliu Fu
- grid.453499.60000 0000 9835 1415Institute of Tropical Crop Genetic Resources, Chinese Academy of Tropical Agricultural Sciences, Danzhou, 571737 Hainan China ,Ministry of Agriculture Key Laboratory of Crop Gene Resources and Germplasm Enhancement in Southern China, Danzhou, 571737 Hainan China ,Hainan Province Key Laboratory of Tropical Crops Germplasm Resources Genetic Improvement and Innovation, Danzhou, 571737 Hainan China ,National Gene Bank of Tropical Crops, Danzhou, 571700 Hainan China
| | - Yonglin Jing
- grid.453499.60000 0000 9835 1415Institute of Tropical Crop Genetic Resources, Chinese Academy of Tropical Agricultural Sciences, Danzhou, 571737 Hainan China ,Ministry of Agriculture Key Laboratory of Crop Gene Resources and Germplasm Enhancement in Southern China, Danzhou, 571737 Hainan China ,Hainan Province Key Laboratory of Tropical Crops Germplasm Resources Genetic Improvement and Innovation, Danzhou, 571737 Hainan China ,National Gene Bank of Tropical Crops, Danzhou, 571700 Hainan China
| | - Bilan Huang
- grid.453499.60000 0000 9835 1415Institute of Tropical Crop Genetic Resources, Chinese Academy of Tropical Agricultural Sciences, Danzhou, 571737 Hainan China ,Ministry of Agriculture Key Laboratory of Crop Gene Resources and Germplasm Enhancement in Southern China, Danzhou, 571737 Hainan China ,Hainan Province Key Laboratory of Tropical Crops Germplasm Resources Genetic Improvement and Innovation, Danzhou, 571737 Hainan China ,National Gene Bank of Tropical Crops, Danzhou, 571700 Hainan China
| | - Ying Chen
- grid.428986.90000 0001 0373 6302College of Horticulture and Landscape Architecture, Hainan University, Haikou, 570228 China
| | - Qinglong Wang
- grid.453499.60000 0000 9835 1415Institute of Tropical Crop Genetic Resources, Chinese Academy of Tropical Agricultural Sciences, Danzhou, 571737 Hainan China
| | - Xiao Bing Wang
- grid.453499.60000 0000 9835 1415Institute of Tropical Crop Genetic Resources, Chinese Academy of Tropical Agricultural Sciences, Danzhou, 571737 Hainan China ,Ministry of Agriculture Key Laboratory of Crop Gene Resources and Germplasm Enhancement in Southern China, Danzhou, 571737 Hainan China ,Hainan Province Key Laboratory of Tropical Crops Germplasm Resources Genetic Improvement and Innovation, Danzhou, 571737 Hainan China ,National Gene Bank of Tropical Crops, Danzhou, 571700 Hainan China
| | - Chunyang Meng
- grid.453499.60000 0000 9835 1415Institute of Tropical Crop Genetic Resources, Chinese Academy of Tropical Agricultural Sciences, Danzhou, 571737 Hainan China ,Ministry of Agriculture Key Laboratory of Crop Gene Resources and Germplasm Enhancement in Southern China, Danzhou, 571737 Hainan China ,Hainan Province Key Laboratory of Tropical Crops Germplasm Resources Genetic Improvement and Innovation, Danzhou, 571737 Hainan China ,National Gene Bank of Tropical Crops, Danzhou, 571700 Hainan China
| | - Qingquan Yang
- grid.453499.60000 0000 9835 1415Institute of Tropical Crop Genetic Resources, Chinese Academy of Tropical Agricultural Sciences, Danzhou, 571737 Hainan China ,Ministry of Agriculture Key Laboratory of Crop Gene Resources and Germplasm Enhancement in Southern China, Danzhou, 571737 Hainan China ,Hainan Province Key Laboratory of Tropical Crops Germplasm Resources Genetic Improvement and Innovation, Danzhou, 571737 Hainan China ,National Gene Bank of Tropical Crops, Danzhou, 571700 Hainan China
| | - Li Xu
- grid.453499.60000 0000 9835 1415Institute of Tropical Crop Genetic Resources, Chinese Academy of Tropical Agricultural Sciences, Danzhou, 571737 Hainan China ,Ministry of Agriculture Key Laboratory of Crop Gene Resources and Germplasm Enhancement in Southern China, Danzhou, 571737 Hainan China ,Hainan Province Key Laboratory of Tropical Crops Germplasm Resources Genetic Improvement and Innovation, Danzhou, 571737 Hainan China ,National Gene Bank of Tropical Crops, Danzhou, 571700 Hainan China
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19
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Wang P, Lopes LD, Lopez-Guerrero MG, van Dijk K, Alvarez S, Riethoven JJ, Schachtman DP. Natural variation in root exudation of GABA and DIMBOA impacts the maize root endosphere and rhizosphere microbiomes. JOURNAL OF EXPERIMENTAL BOTANY 2022; 73:5052-5066. [PMID: 35552399 DOI: 10.1093/jxb/erac202] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 05/05/2022] [Indexed: 06/15/2023]
Abstract
Root exudates are important for shaping root-associated microbiomes. However, studies on a wider range of metabolites in exudates are required for a comprehensive understanding about their influence on microbial communities. We identified maize inbred lines that differ in exudate concentrations of 2,4-dihydroxy-7-methoxy-1,4-benzoxazin-3-one (DIMBOA) and γ-aminobutyric acid (GABA) using a semi-hydroponic system. These lines were grown in the field to determine the changes in microbial diversity and gene expression due to varying concentrations of DIMBOA and GABA in exudates using 16S rRNA amplicon sequencing and metatranscriptomics. Results showed individual and interaction effects of DIMBOA and GABA on the rhizosphere and root endosphere β-diversity, most strongly at the V10 growth stage. The main bacterial families affected by both compounds were Ktedonobacteraceae and Xanthomonadaceae. Higher concentrations of DIMBOA in exudates affected the rhizosphere metatranscriptome, enriching for metabolic pathways associated with plant disease. This study validated the use of natural variation within plant species as a powerful approach for understanding the role of root exudates on microbiome selection. We also showed that a semi-hydroponic system can be used to identify maize genotypes that differ in GABA and DIMBOA exudate concentrations under field conditions. The impact of GABA exudation on root-associated microbiomes is shown for the first time.
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Affiliation(s)
- Peng Wang
- Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, NE, USA and Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, USA
- Nebraska Center for Biotechnology, University of Nebraska-Lincoln, Lincoln, NE, USA
| | - Lucas Dantas Lopes
- Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, NE, USA and Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, USA
- Nebraska Center for Biotechnology, University of Nebraska-Lincoln, Lincoln, NE, USA
| | | | - Karin van Dijk
- Department of Biochemistry, University of Nebraska-Lincoln, Lincoln, NE, USA
| | - Sophie Alvarez
- Nebraska Center for Biotechnology, University of Nebraska-Lincoln, Lincoln, NE, USA
- Proteomics and Metabolomics Facility, Nebraska Center for Biotechnology, University of Nebraska-Lincoln, Lincoln, NE, USA
| | - Jean-Jack Riethoven
- Nebraska Center for Biotechnology, University of Nebraska-Lincoln, Lincoln, NE, USA
- Bioinformatics Core Facility, Nebraska Center for Biotechnology, University of Nebraska-Lincoln, Lincoln, NE, USA
| | - Daniel P Schachtman
- Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, NE, USA and Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, USA
- Nebraska Center for Biotechnology, University of Nebraska-Lincoln, Lincoln, NE, USA
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20
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Li X, Sarma SJ, Sumner LW, Jones AD, Last RL. Switchgrass Metabolomics Reveals Striking Genotypic and Developmental Differences in Specialized Metabolic Phenotypes. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2022. [PMID: 35729681 DOI: 10.1101/2020.06.01.127720] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
Switchgrass (Panicum virgatum L.) is a bioenergy crop that grows productively on lands not suitable for food production and is an excellent target for low-pesticide input biomass production. We hypothesize that resistance to insect pests and microbial pathogens is influenced by low-molecular-weight compounds known as specialized metabolites. We employed untargeted liquid chromatography-mass spectrometry, quantitative gas chromatography-mass spectrometry (GC-MS), and nuclear magnetic resonance spectroscopy to identify differences in switchgrass ecotype metabolomes. This analysis revealed striking differences between upland and lowland switchgrass metabolomes as well as distinct developmental profiles. Terpenoid- and polyphenol-derived specialized metabolites were identified, including steroidal saponins, di- and sesqui-terpenoids, and flavonoids. The saponins are particularly abundant in switchgrass extracts and have diverse aglycone cores and sugar moieties. We report seven structurally distinct steroidal saponin classes with unique steroidal cores and glycosylated at one or two positions. Quantitative GC-MS revealed differences in total saponin concentrations in the leaf blade, leaf sheath, stem, rhizome, and root (2.3 ± 0.10, 0.5 ± 0.01, 2.5 ± 0.5, 3.0 ± 0.7, and 0.3 ± 0.01 μg/mg of dw, respectively). The quantitative data also demonstrated that saponin concentrations are higher in roots of lowland (ranging from 3.0 to 6.6 μg/mg of dw) than in upland (from 0.9 to 1.9 μg/mg of dw) ecotype plants, suggesting ecotypic-specific biosynthesis and/or biological functions. These results enable future testing of these specialized metabolites on biotic and abiotic stress tolerance and can provide information on the development of low-input bioenergy crops.
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Affiliation(s)
- Xingxing Li
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan 48824, United States
- DOE Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, Michigan 48824, United States
| | - Saurav J Sarma
- Bond Life Sciences Center, University of Missouri, Columbia, Missouri 65211, United States
- MU Metabolomics Center, University of Missouri, Columbia, Missouri 65211, United States
| | - Lloyd W Sumner
- Department of Biochemistry, University of Missouri, Columbia, Missouri 65211, United States
- Bond Life Sciences Center, University of Missouri, Columbia, Missouri 65211, United States
- MU Metabolomics Center, University of Missouri, Columbia, Missouri 65211, United States
- Interdisciplinary Plant Group, University of Missouri, Columbia, Missouri 65211, United States
| | - A Daniel Jones
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan 48824, United States
- DOE Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, Michigan 48824, United States
| | - Robert L Last
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan 48824, United States
- DOE Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, Michigan 48824, United States
- Department of Plant Biology, Michigan State University, East Lansing, Michigan 48824, United States
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21
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Li X, Sarma SJ, Sumner LW, Jones AD, Last RL. Switchgrass Metabolomics Reveals Striking Genotypic and Developmental Differences in Specialized Metabolic Phenotypes. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2022; 70:8010-8023. [PMID: 35729681 PMCID: PMC9264348 DOI: 10.1021/acs.jafc.2c01306] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
Switchgrass (Panicum virgatum L.) is a bioenergy crop that grows productively on lands not suitable for food production and is an excellent target for low-pesticide input biomass production. We hypothesize that resistance to insect pests and microbial pathogens is influenced by low-molecular-weight compounds known as specialized metabolites. We employed untargeted liquid chromatography-mass spectrometry, quantitative gas chromatography-mass spectrometry (GC-MS), and nuclear magnetic resonance spectroscopy to identify differences in switchgrass ecotype metabolomes. This analysis revealed striking differences between upland and lowland switchgrass metabolomes as well as distinct developmental profiles. Terpenoid- and polyphenol-derived specialized metabolites were identified, including steroidal saponins, di- and sesqui-terpenoids, and flavonoids. The saponins are particularly abundant in switchgrass extracts and have diverse aglycone cores and sugar moieties. We report seven structurally distinct steroidal saponin classes with unique steroidal cores and glycosylated at one or two positions. Quantitative GC-MS revealed differences in total saponin concentrations in the leaf blade, leaf sheath, stem, rhizome, and root (2.3 ± 0.10, 0.5 ± 0.01, 2.5 ± 0.5, 3.0 ± 0.7, and 0.3 ± 0.01 μg/mg of dw, respectively). The quantitative data also demonstrated that saponin concentrations are higher in roots of lowland (ranging from 3.0 to 6.6 μg/mg of dw) than in upland (from 0.9 to 1.9 μg/mg of dw) ecotype plants, suggesting ecotypic-specific biosynthesis and/or biological functions. These results enable future testing of these specialized metabolites on biotic and abiotic stress tolerance and can provide information on the development of low-input bioenergy crops.
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Affiliation(s)
- Xingxing Li
- Department
of Biochemistry and Molecular Biology, Michigan
State University, East Lansing, Michigan 48824, United States
- DOE
Great Lakes Bioenergy Research Center, Michigan
State University, East Lansing, Michigan 48824, United States
| | - Saurav J. Sarma
- Bond
Life Sciences Center, University of Missouri, Columbia, Missouri 65211, United States
- MU
Metabolomics
Center, University of Missouri, Columbia, Missouri 65211, United States
| | - Lloyd W. Sumner
- Department
of Biochemistry, University of Missouri, Columbia, Missouri 65211, United States
- Bond
Life Sciences Center, University of Missouri, Columbia, Missouri 65211, United States
- MU
Metabolomics
Center, University of Missouri, Columbia, Missouri 65211, United States
- Interdisciplinary
Plant Group, University of Missouri, Columbia, Missouri 65211, United States
| | - A. Daniel Jones
- Department
of Biochemistry and Molecular Biology, Michigan
State University, East Lansing, Michigan 48824, United States
- DOE
Great Lakes Bioenergy Research Center, Michigan
State University, East Lansing, Michigan 48824, United States
| | - Robert L. Last
- Department
of Biochemistry and Molecular Biology, Michigan
State University, East Lansing, Michigan 48824, United States
- DOE
Great Lakes Bioenergy Research Center, Michigan
State University, East Lansing, Michigan 48824, United States
- Department
of Plant Biology, Michigan State University, East Lansing, Michigan 48824, United States
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22
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Deng R, Li W, Berhow MA, Jander G, Zhou S. Phenolic sucrose esters: evolution, regulation, biosynthesis, and biological functions. PLANT MOLECULAR BIOLOGY 2022; 109:369-383. [PMID: 33783685 DOI: 10.1007/s11103-021-01142-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Accepted: 03/16/2021] [Indexed: 06/12/2023]
Abstract
Phenolic sucrose esters (PSEs) are a diverse group of specialized metabolites that are present in several angiosperm lineages. Phylogenetic reconstruction and structural variation suggest that these metabolites may have evolved independently in monocots and dicots. Constitutive variation in PSE abundance across plant organs and developmental stages is correlated with transcriptional regulation of the upstream phenylpropanoid pathway, whereas pathogen induction is regulated by stress-related phytohormones such as ethylene. Shared structural features of PSEs indicate that their biosynthesis may involve one or more hydroxycinnamoyl transferases and BAHD acetyltransferases, which could be identified by correlative analyses of multi-omics datasets. Elucidation of the core biosynthetic pathway of PSEs will be essential for more detailed studies of the biological function of these compounds and their potential medicinal and agricultural applications.
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Affiliation(s)
- Renyu Deng
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 440307, China
| | - Wei Li
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 440307, China
| | - Mark A Berhow
- Functional Foods Research Unit, Agricultural Research Service, USDA, National Center for Agricultural Utilization Research, 1815 N, University Street, Peoria, IL, 61604, USA
| | - Georg Jander
- Boyce Thompson Institute, Ithaca, NY, 14853, USA
| | - Shaoqun Zhou
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 440307, China.
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23
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Schenck CA, Busta L. Using interdisciplinary, phylogeny-guided approaches to understand the evolution of plant metabolism. PLANT MOLECULAR BIOLOGY 2022; 109:355-367. [PMID: 34816350 DOI: 10.1007/s11103-021-01220-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 11/05/2021] [Indexed: 06/13/2023]
Abstract
To cope with relentless environmental pressures, plants produce an arsenal of structurally diverse chemicals, often called specialized metabolites. These lineage-specific compounds are derived from the simple building blocks made by ubiquitous core metabolic pathways. Although the structures of many specialized metabolites are known, the underlying metabolic pathways and the evolutionary events that have shaped the plant chemical diversity landscape are only beginning to be understood. However, with the advent of multi-omics data sets and the relative ease of studying pathways in previously intractable non-model species, plant specialized metabolic pathways are now being systematically identified. These large datasets also provide a foundation for comparative, phylogeny-guided studies of plant metabolism. Comparisons of metabolic traits and features like chemical abundances, enzyme activities, or gene sequences from phylogenetically diverse plants provide insights into how metabolic pathways evolved. This review highlights the power of studying evolution through the lens of comparative biochemistry, particularly how placing metabolism into a phylogenetic context can help a researcher identify the metabolic innovations enabling the evolution of structurally diverse plant metabolites.
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Affiliation(s)
- Craig A Schenck
- Department of Biochemistry, University of Missouri, Columbia, MO, USA.
| | - Lucas Busta
- Department of Chemistry and Biochemistry, University of Minnesota Duluth, Duluth, MN, USA
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24
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Advances in Metabolomics-Driven Diagnostic Breeding and Crop Improvement. Metabolites 2022; 12:metabo12060511. [PMID: 35736444 PMCID: PMC9228725 DOI: 10.3390/metabo12060511] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 05/25/2022] [Accepted: 05/26/2022] [Indexed: 02/04/2023] Open
Abstract
Climate change continues to threaten global crop output by reducing annual productivity. As a result, global food security is now considered as one of the most important challenges facing humanity. To address this challenge, modern crop breeding approaches are required to create plants that can cope with increased abiotic/biotic stress. Metabolomics is rapidly gaining traction in plant breeding by predicting the metabolic marker for plant performance under a stressful environment and has emerged as a powerful tool for guiding crop improvement. The advent of more sensitive, automated, and high-throughput analytical tools combined with advanced bioinformatics and other omics techniques has laid the foundation to broadly characterize the genetic traits for crop improvement. Progress in metabolomics allows scientists to rapidly map specific metabolites to the genes that encode their metabolic pathways and offer plant scientists an excellent opportunity to fully explore and rationally harness the wealth of metabolites that plants biosynthesize. Here, we outline the current application of advanced metabolomics tools integrated with other OMICS techniques that can be used to: dissect the details of plant genotype–metabolite–phenotype interactions facilitating metabolomics-assisted plant breeding for probing the stress-responsive metabolic markers, explore the hidden metabolic networks associated with abiotic/biotic stress resistance, facilitate screening and selection of climate-smart crops at the metabolite level, and enable accurate risk-assessment and characterization of gene edited/transgenic plants to assist the regulatory process. The basic concept behind metabolic editing is to identify specific genes that govern the crucial metabolic pathways followed by the editing of one or more genes associated with those pathways. Thus, metabolomics provides a superb platform for not only rapid assessment and commercialization of future genome-edited crops, but also for accelerated metabolomics-assisted plant breeding. Furthermore, metabolomics can be a useful tool to expedite the crop research if integrated with speed breeding in future.
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25
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Brzozowski LJ, Campbell MT, Hu H, Caffe M, Gutiérrez LA, Smith KP, Sorrells ME, Gore MA, Jannink JL. Generalizable approaches for genomic prediction of metabolites in plants. THE PLANT GENOME 2022; 15:e20205. [PMID: 35470586 DOI: 10.1002/tpg2.20205] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 02/21/2022] [Indexed: 06/14/2023]
Abstract
Plant metabolites are important traits for plant breeders seeking to improve nutrition and agronomic performance yet integrating selection for metabolomic traits can be limited by phenotyping expense and degree of genetic characterization, especially of uncommon metabolites. As such, developing generalizable genomic selection methods based on biochemical pathway biology for metabolites that are transferable across plant populations would benefit plant breeding programs. We tested genomic prediction accuracy for >600 metabolites measured by gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-mass spectrometry (LC-MS) in oat (Avena sativa L.) seed. Using a discovery germplasm panel, we conducted metabolite genome-wide association study (mGWAS) and selected loci to use in multikernel models that encompassed metabolome-wide mGWAS results or mGWAS from specific metabolite structures or biosynthetic pathways. Metabolite kernels developed from LC-MS metabolites in the discovery panel improved prediction accuracy of LC-MS metabolite traits in the validation panel consisting of more advanced breeding lines. No approach, however, improved prediction accuracy for GC-MS metabolites. We ranked model performance by metabolite and found that metabolites with similar polarity had consistent rankings of models. Overall, testing biological rationales for developing kernels for genomic prediction across populations contributes to developing frameworks for plant breeding for metabolite traits.
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Affiliation(s)
- Lauren J Brzozowski
- Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell Univ., Ithaca, NY, 14853, USA
| | - Malachy T Campbell
- Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell Univ., Ithaca, NY, 14853, USA
| | - Haixiao Hu
- Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell Univ., Ithaca, NY, 14853, USA
| | - Melanie Caffe
- Dep. of Agronomy, Horticulture & Plant Science, South Dakota State Univ., Brookings, SD, 57006, USA
| | - Lucı A Gutiérrez
- Dep. of Agronomy, Univ. of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Kevin P Smith
- Dep. of Agronomy & Plant Genetics, Univ. of Minnesota, St. Paul, MN, 55108, USA
| | - Mark E Sorrells
- Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell Univ., Ithaca, NY, 14853, USA
| | - Michael A Gore
- Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell Univ., Ithaca, NY, 14853, USA
| | - Jean-Luc Jannink
- Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell Univ., Ithaca, NY, 14853, USA
- USDA-ARS, Robert W. Holley Center for Agriculture and Health, Ithaca, NY, 14853, USA
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26
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Computational Metabolomics Tools Reveal Metabolic Reconfigurations Underlying the Effects of Biostimulant Seaweed Extracts on Maize Plants under Drought Stress Conditions. Metabolites 2022; 12:metabo12060487. [PMID: 35736420 PMCID: PMC9231236 DOI: 10.3390/metabo12060487] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Revised: 05/12/2022] [Accepted: 05/23/2022] [Indexed: 12/19/2022] Open
Abstract
Drought is one of the major abiotic stresses causing severe damage and losses in economically important crops worldwide. Drought decreases the plant water status, leading to a disruptive metabolic reprogramming that negatively affects plant growth and yield. Seaweed extract-based biostimulants show potential as a sustainable strategy for improved crop health and stress resilience. However, cellular, biochemical, and molecular mechanisms governing the agronomically observed benefits of the seaweed extracts on plants are still poorly understood. In this study, a liquid chromatography–mass spectrometry-based untargeted metabolomics approach combined with computational metabolomics strategies was applied to unravel the molecular ‘stamps’ that define the effects of seaweed extracts on greenhouse-grown maize (Zea mays) under drought conditions. We applied mass spectral networking, substructure discovery, chemometrics, and metabolic pathway analyses to mine and interpret the generated mass spectral data. The results showed that the application of seaweed extracts induced alterations in the different pathways of primary and secondary metabolism, such as phenylpropanoid, flavonoid biosynthesis, fatty acid metabolism, and amino acids pathways. These metabolic changes involved increasing levels of phenylalanine, tryptophan, coumaroylquinic acid, and linolenic acid metabolites. These metabolic alterations are known to define some of the various biochemical and physiological events that lead to enhanced drought resistance traits. The latter include root growth, alleviation of oxidative stress, improved water, and nutrient uptake. Moreover, this study demonstrates the use of molecular networking in annotating maize metabolome. Furthermore, the results reveal that seaweed extract-based biostimulants induced a remodeling of maize metabolism, subsequently readjusting the plant towards stress alleviation, for example, by increasing the plant height and diameter through foliar application. Such insights add to ongoing efforts in elucidating the modes of action of biostimulants, such as seaweed extracts. Altogether, our study contributes to the fundamental scientific knowledge that is necessary for the development of a biostimulants industry aiming for a sustainable food security.
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27
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Yang Z, Xu G, Zhang Q, Obata T, Yang J. Genome-wide mediation analysis: an empirical study to connect phenotype with genotype via intermediate transcriptomic data in maize. Genetics 2022; 221:6572813. [PMID: 35460234 PMCID: PMC9157066 DOI: 10.1093/genetics/iyac057] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 04/04/2022] [Indexed: 11/13/2022] Open
Abstract
Mapping genotype to phenotype is an essential topic in genetics and genomics research. As the Omics data become increasingly available, 2-variable methods have been widely applied to associate genotype with the phenotype (genome-wide association study), gene expression with the phenotype (transcriptome-wide association study), and genotype with gene expression. However, signals detected by these 2-variable association methods suffer from low mapping resolution or inexplicit causality between genotype and phenotype, making it challenging to interpret and validate the molecular mechanisms of the underlying genomic variations and the candidate genes. Under the context of genetics research, we hypothesized a causal chain from genotype to phenotype partially mediated by intermediate molecular processes, i.e. gene expression. To test this hypothesis, we applied the high-dimensional mediation analysis, a class of causal inference method with an assumed causal chain from the exposure to the mediator to the outcome, and implemented it with a maize association panel (N = 280 lines). Using 40 publicly available agronomy traits, 66 newly generated metabolite traits, and published RNA-seq data from 7 different tissues, our empirical study detected 736 unique mediating genes. Noticeably, 83/736 (11%) genes were identified in mediating more than 1 trait, suggesting the prevalence of pleiotropic mediating effects. We demonstrated that several identified mediating genes are consistent with their known functions. In addition, our results provided explicit hypotheses for functional validation and suggested that the mediation analysis is a powerful tool to integrate Omics data to connect genotype to phenotype.
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Affiliation(s)
- Zhikai Yang
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68588, USA,Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, NE 68583, USA
| | - Gen Xu
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68588, USA,Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, NE 68583, USA
| | - Qi Zhang
- Department of Mathematics and Statistics, University of New Hampshire, Durham, NH 03824, USA
| | - Toshihiro Obata
- Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, NE 68583, USA,Department of Biochemistry, University of Nebraska-Lincoln, Lincoln, NE 68583, USA
| | - Jinliang Yang
- Corresponding author: Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.
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28
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Brzozowski LJ, Hu H, Campbell MT, Broeckling CD, Caffe M, Gutiérrez L, Smith KP, Sorrells ME, Gore MA, Jannink JL. Selection for seed size has uneven effects on specialized metabolite abundance in oat (Avena sativa L.). G3 (BETHESDA, MD.) 2022; 12:6459173. [PMID: 34893823 PMCID: PMC9210299 DOI: 10.1093/g3journal/jkab419] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Accepted: 11/29/2021] [Indexed: 11/13/2022]
Abstract
Plant breeding strategies to optimize metabolite profiles are necessary to develop health-promoting food crops. In oats (Avena sativa L.), seed metabolites are of interest for their antioxidant properties, yet have not been a direct target of selection in breeding. In a diverse oat germplasm panel spanning a century of breeding, we investigated the degree of variation of these specialized metabolites and how it has been molded by selection for other traits, like yield components. We also ask if these patterns of variation persist in modern breeding pools. Integrating genomic, transcriptomic, metabolomic, and phenotypic analyses for three types of seed specialized metabolites—avenanthramides, avenacins, and avenacosides—we found reduced heritable genetic variation in modern germplasm compared with diverse germplasm, in part due to increased seed size associated with more intensive breeding. Specifically, we found that abundance of avenanthramides increases with seed size, but additional variation is attributable to expression of biosynthetic enzymes. In contrast, avenacoside abundance decreases with seed size and plant breeding intensity. In addition, these different specialized metabolites do not share large-effect loci. Overall, we show that increased seed size associated with intensive plant breeding has uneven effects on the oat seed metabolome, but variation also exists independently of seed size to use in plant breeding. This work broadly contributes to our understanding of how plant breeding has influenced plant traits and tradeoffs between traits (like growth and defense) and the genetic bases of these shifts.
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Affiliation(s)
- Lauren J Brzozowski
- Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, NY 14853, USA
| | - Haixiao Hu
- Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, NY 14853, USA
| | - Malachy T Campbell
- Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, NY 14853, USA
| | - Corey D Broeckling
- Bioanalysis and Omics Center of the Analytical Resources Core, Colorado State University, Fort Collins, CO 80523 USA
| | - Melanie Caffe
- Department of Agronomy, Horticulture & Plant Science, South Dakota State University, Brookings, SD 57006, USA
| | - Lucía Gutiérrez
- Department of Agronomy, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Kevin P Smith
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN 55108, USA
| | - Mark E Sorrells
- Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, NY 14853, USA
| | - Michael A Gore
- Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, NY 14853, USA
| | - Jean-Luc Jannink
- Plant Breeding and Genetics Section, School of Integrative Plant Science, Cornell University, Ithaca, NY 14853, USA.,USDA-ARS, Robert W. Holley Center for Agriculture and Health, Ithaca, NY 14853 USA
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Zhu F, Fernie AR, Scossa F. Preparation and Curation of Omics Data for Genome-Wide Association Studies. Methods Mol Biol 2022; 2481:127-150. [PMID: 35641762 DOI: 10.1007/978-1-0716-2237-7_8] [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] [Indexed: 06/15/2023]
Abstract
With the development of large-scale molecular phenotyping platforms, genome-wide association studies have greatly developed, being no longer limited to the analysis of classical agronomic traits, such as yield or flowering time, but also embracing the dissection of the genetic basis of molecular traits. Data generated by omics platforms, however, pose some technical and statistical challenges to the classical methodology and assumptions of an association study. Although genotyping data are subject to strict filtering procedures, and several advanced statistical approaches are now available to adjust for population structure, less attention has been instead devoted to the preparation of omics data prior to GWAS. In the present chapter, we briefly present the methods to acquire profiling data from transcripts, proteins, and small molecules, and discuss the tools and possibilities to clean, normalize, and remove the unwanted variation from large datasets of molecular phenotypic traits prior to their use in GWAS.
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Affiliation(s)
- Feng Zhu
- National R&D Center for Citrus Preservation, Key Laboratory of Horticultural Plant Biology, Ministry of Education, Huazhong Agricultural University, Wuhan, China
- Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany
| | - Alisdair R Fernie
- Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany
| | - Federico Scossa
- Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany.
- Council for Agricultural Research and Economics (CREA), Research Centre for Genomics and Bioinformatics (CREA-GB), Rome, Italy.
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Nutritional improvement of cereal crops to combat hidden hunger during COVID-19 pandemic: Progress and prospects. ADVANCES IN FOOD SECURITY AND SUSTAINABILITY 2022. [PMCID: PMC8917837 DOI: 10.1016/bs.af2s.2022.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
COVID-19 has posed a severe challenge on food security by limiting access to food for the marginally placed population. While access to food is a challenge, access to nutritional food is a greater challenge to the population. The present-day foods are not sufficient to meet the nutritional requirements of the human body. In a pandemic condition, providing nutritious food to the population is imperative to ensure the health and well-being of humankind. Exploiting the existing biodiversity of crop species and deploying classical and modern tools to improve the nutritional potential of these species holds the key to addressing the above challenge. Breeding has been a classical tool of crop improvement that relied predominantly on genetic diversity. Collecting and conserving diverse germplasms and characterizing their diversity using molecular markers is essential to preserve diversity and use them in genetic improvement programs. These markers are also valuable for association mapping analyses to identify the genetic determinants of traits-of-interest in crop species. Association mapping identifies the quantitative trait loci (QTL) underlying the trait-of-interest by exploring marker-trait associations, and these QTLs can further be exploited for the genetic improvement of cultivated species through genomics-assisted breeding. Conventional breeding and genomics approaches are also being applied to develop biofortified cereal crops to reduce nutritional deficiencies in consumers. In this context, chapter explains the prerequisites for association mapping, population structure, genetic diversity, different approaches of performing association mapping to dissect nutritional traits, use the information for genomics-assisted breeding for nutrient-rich cereal crops, and application of genomics strategies in crop biofortification. These approaches will ensure food and nutrition security for all amidst the current COVID-19 crisis.
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Huang J, Wang L, Tang B, Ren R, Shi T, Zhu L, Deng J, Liang C, Wang Y, Chen Q. Integrated Transcriptomics and Widely Targeted Metabolomics Analyses Provide Insights Into Flavonoid Biosynthesis in the Rhizomes of Golden Buckwheat ( Fagopyrum cymosum). FRONTIERS IN PLANT SCIENCE 2022; 13:803472. [PMID: 35783922 PMCID: PMC9247553 DOI: 10.3389/fpls.2022.803472] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 03/22/2022] [Indexed: 05/05/2023]
Abstract
Golden buckwheat (Fagopyrum cymosum) is used in Traditional Chinese Medicine. It has received attention because of the high value of its various medicinal and nutritional metabolites, especially flavonoids (catechin and epicatechin). However, the metabolites and their encoding genes in golden buckwheat have not yet been identified in the global landscape. This study performed transcriptomics and widely targeted metabolomics analyses for the first time on rhizomes of golden buckwheat. As a result, 10,191 differentially expressed genes (DEGs) and 297 differentially regulated metabolites (DRMs) were identified, among which the flavonoid biosynthesis pathway was enriched in both transcriptome and metabolome. The integration analyses of the transcriptome and the metabolome revealed a network related to catechin, in which four metabolites and 14 genes interacted with each other. Subsequently, an SG5 R2R3-MYB transcription factor, named FcMYB1, was identified as a transcriptional activator in catechin biosynthesis, as it was positively correlated to eight flavonoid biosynthesis genes in their expression patterns and was directly bound to the promoters of FcLAR2 and FcF3'H1 by yeast one hybrid analysis. Finally, a flavonoid biosynthesis pathway was proposed in the rhizomes of golden buckwheat, including 13 metabolites, 11 genes encoding 9 enzymes, and 1 MYB transcription factor. The expression of 12 DEGs were validated by qRT-PCR, resulting in a good agreement with the Pearson R ranging from 0.83 to 1. The study provided a comprehensive flavonoid biosynthesis and regulatory network of golden buckwheat.
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Affiliation(s)
- Juan Huang
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, China
- Juan Huang
| | - Luyuan Wang
- Tunliu District Vocational Senior Middle School, Changzhi, China
| | - Bin Tang
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, China
| | - Rongrong Ren
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, China
| | - Taoxiong Shi
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, China
| | - Liwei Zhu
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, China
| | - Jiao Deng
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, China
| | - Chenggang Liang
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, China
| | - Yan Wang
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, China
| | - Qingfu Chen
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, China
- *Correspondence: Qingfu Chen
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Tag you're it: Application of stable isotope labeling and LC-MS to identify the precursors of specialized metabolites in plants. Methods Enzymol 2022; 676:279-303. [DOI: 10.1016/bs.mie.2022.07.039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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33
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Liu S, Fang S, Liu C, Zhao L, Cong B, Zhang Z. Transcriptomics Integrated With Metabolomics Reveal the Effects of Ultraviolet-B Radiation on Flavonoid Biosynthesis in Antarctic Moss. FRONTIERS IN PLANT SCIENCE 2021; 12:788377. [PMID: 34956286 PMCID: PMC8692278 DOI: 10.3389/fpls.2021.788377] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Accepted: 11/12/2021] [Indexed: 05/24/2023]
Abstract
Bryophytes are the dominant vegetation in the Antarctic continent. They have suffered more unpleasant ultraviolet radiation due to the Antarctic ozone layer destruction. However, it remains unclear about the molecular mechanism of Antarctic moss acclimation to UV-B light. Here, the transcriptomics and metabolomics approaches were conducted to uncover transcriptional and metabolic profiling of the Antarctic moss Leptobryum pyriforme under UV-B radiation. Totally, 67,290 unigenes with N50 length of 2,055 bp were assembled. Of them, 1,594 unigenes were significantly up-regulated and 3353 unigenes were markedly down-regulated under UV-B radiation. These differentially expressed genes (DEGs) involved in UV-B signaling, flavonoid biosynthesis, ROS scavenging, and DNA repair. In addition, a total of 531 metabolites were detected, while flavonoids and anthocyanins accounted for 10.36% of the total compounds. There were 49 upregulated metabolites and 41 downregulated metabolites under UV-B radiation. Flavonoids were the most significantly changed metabolites. qPCR analysis showed that UVR8-COP1-HY5 signaling pathway genes and photolyase genes (i.e., LpUVR3, LpPHR1, and LpDPL) were significantly up-regulated under UV-B light. In addition, the expression levels of JA signaling pathway-related genes (i.e., OPR and JAZ) and flavonoid biosynthesis-related genes were also significantly increased under UV-B radiation. The integrative data analysis showed that UVR8-mediated signaling, jasmonate signaling, flavonoid biosynthesis pathway and DNA repair system might contribute to L. pyriforme acclimating to UV-B radiation. Therefore, these findings present a novel knowledge for understanding the adaption of Antarctic moss to polar environments and provide a foundation for assessing the impact of global climate change on Antarctic land plants.
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Affiliation(s)
- Shenghao Liu
- Key Laboratory of Marine Ecology and Environment Science, First Institute of Oceanography, Natural Resources Ministry, Qingdao, China
- Marine Ecology and Environmental Science Laboratory, Pilot National Laboratory for Marine Science and Technology, Qingdao, China
| | - Shuo Fang
- Key Laboratory of Marine Ecology and Environment Science, First Institute of Oceanography, Natural Resources Ministry, Qingdao, China
| | - Chenlin Liu
- Key Laboratory of Marine Ecology and Environment Science, First Institute of Oceanography, Natural Resources Ministry, Qingdao, China
| | - Linlin Zhao
- Key Laboratory of Marine Ecology and Environment Science, First Institute of Oceanography, Natural Resources Ministry, Qingdao, China
- Marine Ecology and Environmental Science Laboratory, Pilot National Laboratory for Marine Science and Technology, Qingdao, China
| | - Bailin Cong
- Key Laboratory of Marine Ecology and Environment Science, First Institute of Oceanography, Natural Resources Ministry, Qingdao, China
| | - Zhaohui Zhang
- Key Laboratory of Marine Ecology and Environment Science, First Institute of Oceanography, Natural Resources Ministry, Qingdao, China
- Marine Ecology and Environmental Science Laboratory, Pilot National Laboratory for Marine Science and Technology, Qingdao, China
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Nayak SN, Aravind B, Malavalli SS, Sukanth BS, Poornima R, Bharati P, Hefferon K, Kole C, Puppala N. Omics Technologies to Enhance Plant Based Functional Foods: An Overview. Front Genet 2021; 12:742095. [PMID: 34858472 PMCID: PMC8631721 DOI: 10.3389/fgene.2021.742095] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 10/13/2021] [Indexed: 11/25/2022] Open
Abstract
Functional foods are natural products of plants that have health benefits beyond necessary nutrition. Functional foods are abundant in fruits, vegetables, spices, beverages and some are found in cereals, millets, pulses and oilseeds. Efforts to identify functional foods in our diet and their beneficial aspects are limited to few crops. Advances in sequencing and availability of different omics technologies have given opportunity to utilize these tools to enhance the functional components of the foods, thus ensuring the nutritional security. Integrated omics approaches including genomics, transcriptomics, proteomics, metabolomics coupled with artificial intelligence and machine learning approaches can be used to improve the crops. This review provides insights into omics studies that are carried out to find the active components and crop improvement by enhancing the functional compounds in different plants including cereals, millets, pulses, oilseeds, fruits, vegetables, spices, beverages and medicinal plants. There is a need to characterize functional foods that are being used in traditional medicines, as well as utilization of this knowledge to improve the staple foods in order to tackle malnutrition and hunger more effectively.
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Affiliation(s)
- Spurthi N. Nayak
- Department of Biotechnology, University of Agricultural Sciences, Dharwad, India
| | - B. Aravind
- Department of Biotechnology, University of Agricultural Sciences, Dharwad, India
| | - Sachin S. Malavalli
- Department of Biotechnology, University of Agricultural Sciences, Dharwad, India
| | - B. S. Sukanth
- Department of Biotechnology, University of Agricultural Sciences, Dharwad, India
| | - R. Poornima
- Department of Biotechnology, University of Agricultural Sciences, Dharwad, India
| | - Pushpa Bharati
- Department of Food Science and Nutrition, University of Agricultural Sciences, Dharwad, India
| | - Kathleen Hefferon
- Department of Microbiology, Cornell University, Ithaca, NY, United States
| | - Chittaranjan Kole
- President, International Phytomedomics and Nutriomics Consortium (ipnc.info), Daejeon, South Korea
| | - Naveen Puppala
- New Mexico State University-Agricultural Science Center at Clovis, New Mexico, NM, United States
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Metabolite Diversity and Metabolic Genome-Wide Marker Association Studies (Mgwas) for Health Benefiting Nutritional Traits in Pearl Millet Grains. Cells 2021; 10:cells10113076. [PMID: 34831297 PMCID: PMC8621611 DOI: 10.3390/cells10113076] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 11/01/2021] [Accepted: 11/05/2021] [Indexed: 12/03/2022] Open
Abstract
As efforts are made to increase food security, millets are gaining increasing importance due to their excellent nutritional credentials. Among the millets, pearl millet is the predominant species possessing several health benefiting nutritional traits in its grain that are helpful in mitigating chronic illnesses such as type−2 diabetes and obesity. In this paper, we conducted metabolomic fingerprinting of 197 pearl millet inbred lines drawn randomly from within the world collection of pearl millet germplasm and report the extent of genetic variation for health benefitting metabolites in these genotypes. Metabolites were extracted from seeds and assessed using flow infusion high-resolution mass spectrometry (FIE-HRMS). Metabolite features (m/z), whose levels significantly differed among the germplasm inbred lines, were identified by ANOVA corrected for FDR and subjected to functional pathway analysis. A number of health-benefiting metabolites linked to dietary starch, antioxidants, vitamins, and lipid metabolism-related compounds were identified. Metabolic genome-wide association analysis (mGWAS) performed using the 396 m/z as phenotypic traits and the 76 K SNP as genotypic variants identified a total of 897 SNPs associated with health benefiting nutritional metabolite at the -log p-value ≤ 4.0. From these associations, 738 probable candidate genes were predicted to have an important role in starch, antioxidants, vitamins, and lipid metabolism. The mGWAS analysis focused on genes involved in starch branching (α-amylase, β-amylase), vitamin-K reductase, UDP-glucuronosyl, and UDP-glucosyl transferase (UGTs), L-ascorbate oxidase, and isoflavone 2′-monooxygenase genes, which are known to be linked to increases in human health benefiting metabolites. We demonstrate how metabolomic, genomic, and statistical approaches can be utilized to pinpoint genetic variations and their functions linked to key nutritional properties in pearl millet, which in turn can be bred into millets and other cereals crops using plant breeding methods.
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Tsugawa H, Rai A, Saito K, Nakabayashi R. Metabolomics and complementary techniques to investigate the plant phytochemical cosmos. Nat Prod Rep 2021; 38:1729-1759. [PMID: 34668509 DOI: 10.1039/d1np00014d] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Covering: up to 2021Plants and their associated microbial communities are known to produce millions of metabolites, a majority of which are still not characterized and are speculated to possess novel bioactive properties. In addition to their role in plant physiology, these metabolites are also relevant as existing and next-generation medicine candidates. Elucidation of the plant metabolite diversity is thus valuable for the successful exploitation of natural resources for humankind. Herein, we present a comprehensive review on recent metabolomics approaches to illuminate molecular networks in plants, including chemical isolation and enzymatic production as well as the modern metabolomics approaches such as stable isotope labeling, ultrahigh-resolution mass spectrometry, metabolome imaging (spatial metabolomics), single-cell analysis, cheminformatics, and computational mass spectrometry. Mass spectrometry-based strategies to characterize plant metabolomes through metabolite identification and annotation are described in detail. We also highlight the use of phytochemical genomics to mine genes associated with specialized metabolites' biosynthesis. Understanding the metabolic diversity through biotechnological advances is fundamental to elucidate the functions of the plant-derived specialized metabolome.
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Affiliation(s)
- Hiroshi Tsugawa
- RIKEN Center for Sustainable Resource Science, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan. .,RIKEN Center for Integrative Medical Sciences, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan.,Department of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, 2-24-16 Nakamachi, Koganei, Tokyo 184-8588, Japan.,Graduate School of Medical Life Science, Yokohama City University, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama 230-0045, Japan
| | - Amit Rai
- RIKEN Center for Sustainable Resource Science, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan. .,Plant Molecular Science Center, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba 260-8675, Japan
| | - Kazuki Saito
- RIKEN Center for Sustainable Resource Science, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan. .,Plant Molecular Science Center, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba 260-8675, Japan
| | - Ryo Nakabayashi
- RIKEN Center for Sustainable Resource Science, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan.
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Eprintsev AT, Fedorin DN, Anokhina GB, Igamberdiev AU. Effects of light, anoxia and salinity on the expression of dihydroxyacid dehydratase in maize. JOURNAL OF PLANT PHYSIOLOGY 2021; 265:153507. [PMID: 34478919 DOI: 10.1016/j.jplph.2021.153507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 08/24/2021] [Accepted: 08/24/2021] [Indexed: 06/13/2023]
Abstract
Dihydroxyacid dehydratase (EC 4.2.1.9) participates in metabolism of branched chain amino acids, in CoA biosynthesis and in the conversion of hydroxycitric acid that accumulates in several plants. In maize (Zea mays L.), this enzyme is encoded by the two genes (Dhad1 and Dhad2), having different patterns of their expression during germination. We have demonstrated the inhibition of Dhad1 expression by light and the opposite effect of light on Dhad2. These effects were phytochrome-dependent and involved methylation/demethylation of promoters. Incubation of maize plants in a nitrogen atmosphere resulted in Dhad1 activation peaking at 12 h, which coincided with the decrease in promoter methylation. The gene Dhad2 was activated only during the first 6 h of anoxia, with no correlation with the level of promoter methylation. Salt stress (150 mM NaCl) caused the activation of expression of Dhad2 while the expression of Dhad1 was inhibited in the first hour and then after 12 h incubation with NaCl. We conclude that the expression of two genes encoding dihydroxyacid dehydratase reveals the opposite or different patterns of regulation by light, anoxia and salinity. The mechanisms underlying these modifications involve promoter methylation and result in corresponding changes in the enzymatic activity of the conversion of hydroxycitrate to 2-oxoglutarate.
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Affiliation(s)
- Alexander T Eprintsev
- Department of Biochemistry and Cell Physiology, Voronezh State University, 394018, Voronezh, Russia.
| | - Dmitry N Fedorin
- Department of Biochemistry and Cell Physiology, Voronezh State University, 394018, Voronezh, Russia.
| | - Galina B Anokhina
- Department of Biochemistry and Cell Physiology, Voronezh State University, 394018, Voronezh, Russia.
| | - Abir U Igamberdiev
- Department of Biology, Memorial University of Newfoundland, St. John's, NL, A1B 3X9, Canada.
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Zhang F, Wu J, Sade N, Wu S, Egbaria A, Fernie AR, Yan J, Qin F, Chen W, Brotman Y, Dai M. Genomic basis underlying the metabolome-mediated drought adaptation of maize. Genome Biol 2021; 22:260. [PMID: 34488839 PMCID: PMC8420056 DOI: 10.1186/s13059-021-02481-1] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 08/25/2021] [Indexed: 11/10/2022] Open
Abstract
Background Drought is a major environmental disaster that causes crop yield loss worldwide. Metabolites are involved in various environmental stress responses of plants. However, the genetic control of metabolomes underlying crop environmental stress adaptation remains elusive. Results Here, we perform non-targeted metabolic profiling of leaves for 385 maize natural inbred lines grown under well-watered as well as drought-stressed conditions. A total of 3890 metabolites are identified and 1035 of these are differentially produced between well-watered and drought-stressed conditions, representing effective indicators of maize drought response and tolerance. Genetic dissections reveal the associations between these metabolites and thousands of single-nucleotide polymorphisms (SNPs), which represented 3415 metabolite quantitative trait loci (mQTLs) and 2589 candidate genes. 78.6% of mQTLs (2684/3415) are novel drought-responsive QTLs. The regulatory variants that control the expression of the candidate genes are revealed by expression QTL (eQTL) analysis of the transcriptomes of leaves from 197 maize natural inbred lines. Integrated metabolic and transcriptomic assays identify dozens of environment-specific hub genes and their gene-metabolite regulatory networks. Comprehensive genetic and molecular studies reveal the roles and mechanisms of two hub genes, Bx12 and ZmGLK44, in regulating maize metabolite biosynthesis and drought tolerance. Conclusion Our studies reveal the first population-level metabolomes in crop drought response and uncover the natural variations and genetic control of these metabolomes underlying crop drought adaptation, demonstrating that multi-omics is a powerful strategy to dissect the genetic mechanisms of crop complex traits. Supplementary Information The online version contains supplementary material available at 10.1186/s13059-021-02481-1.
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Affiliation(s)
- Fei Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.,Hubei Hongshan laboratory, Wuhan, 430070, China
| | - Jinfeng Wu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.,Hubei Hongshan laboratory, Wuhan, 430070, China
| | - Nir Sade
- School of Plant Sciences and Food Security, The Institute for Cereal Crops Improvement, Tel-Aviv University, 69978, Tel Aviv, Israel
| | - Si Wu
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Aiman Egbaria
- School of Plant Sciences and Food Security, The Institute for Cereal Crops Improvement, Tel-Aviv University, 69978, Tel Aviv, Israel
| | - Alisdair R Fernie
- Max Planck Institute of Molecular Plant Physiology, 14476, Potsdam, Germany
| | - Jianbing Yan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.,Hubei Hongshan laboratory, Wuhan, 430070, China
| | - Feng Qin
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing, 100193, China
| | - Wei Chen
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
| | - Yariv Brotman
- Max Planck Institute of Molecular Plant Physiology, 14476, Potsdam, Germany. .,Department of Life Sciences, Ben-Gurion University of the Negev, 8410501, Beersheba, Israel.
| | - Mingqiu Dai
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China. .,Hubei Hongshan laboratory, Wuhan, 430070, China.
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Zhang M, Wang J, Luo Q, Yang C, Yang H, Cheng Y. CsMYB96 enhances citrus fruit resistance against fungal pathogen by activating salicylic acid biosynthesis and facilitating defense metabolite accumulation. JOURNAL OF PLANT PHYSIOLOGY 2021; 264:153472. [PMID: 34315028 DOI: 10.1016/j.jplph.2021.153472] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2021] [Revised: 07/11/2021] [Accepted: 07/11/2021] [Indexed: 05/21/2023]
Abstract
Citrus fruit are generally confronted with various fungal diseases that cause fruit deterioration and economic loss. Salicylic acid (SA), a plant hormone, is an important signal molecule required for stimulating the disease resistance of plants. However, there has been limited information about the molecular mechanism of SA biosynthesis involving biotic stress response in citrus fruit. In the present study, an R2R3 MYB transcription factor (CsMYB96) was identified to mediate SA signaling in response to fungal diseases. The transient overexpression assay revealed that CsMYB96 contributed to the strong tolerance of citrus fruit to Penicillium italicum along with an increase in SA content; meanwhile, CsMYB96 conferred resistance to Botrytis cinerea in Arabidopsis plants. Further metabolomic profiling of stable transgenic Arabidopsis revealed that CsMYB96 participated in the regulation of various metabolism pathways and enhanced the accumulation of phenolic acids. RNA-seq analysis confirmed that overexpression of CsMYB96 activated the expression of genes involved in plant-pathogen interaction, phenylpropanoid biosynthesis, and SA signaling. Besides, CsMBY96 directly activated the transcription of calmodulin binding protein 60g (CsCBP60g), a predominant transcription factor required for the activation of SA signaling. In summary, our results reveal that CsMYB96 promotes SA biosynthesis and the accumulation of defense metabolites to enhance the fungal pathogen resistance of citrus fruit and Arabidopsis and provide new insights into the regulation of disease response.
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Affiliation(s)
- Mingfei Zhang
- National R&D Centre for Citrus Preservation, Key Laboratory of Horticultural Plant Biology (Ministry of Education), College of Horticulture and Forestry Science, Huazhong Agricultural University, Wuhan, 430070, PR China.
| | - Jinqiu Wang
- Key Laboratory of Coarse Cereal Processing (Ministry of Agriculture and Rural Affairs), School of Food and Biological Engineering, Chengdu University, No. 2025 Chengluo Avenue, Chengdu, 610106, China.
| | - Qujuan Luo
- National R&D Centre for Citrus Preservation, Key Laboratory of Horticultural Plant Biology (Ministry of Education), College of Horticulture and Forestry Science, Huazhong Agricultural University, Wuhan, 430070, PR China.
| | - Ce Yang
- National R&D Centre for Citrus Preservation, Key Laboratory of Horticultural Plant Biology (Ministry of Education), College of Horticulture and Forestry Science, Huazhong Agricultural University, Wuhan, 430070, PR China.
| | - Hongbin Yang
- National R&D Centre for Citrus Preservation, Key Laboratory of Horticultural Plant Biology (Ministry of Education), College of Horticulture and Forestry Science, Huazhong Agricultural University, Wuhan, 430070, PR China.
| | - Yunjiang Cheng
- National R&D Centre for Citrus Preservation, Key Laboratory of Horticultural Plant Biology (Ministry of Education), College of Horticulture and Forestry Science, Huazhong Agricultural University, Wuhan, 430070, PR China.
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40
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Wang F, Chen L, Chen S, Chen H, Liu Y. Characterization of two closely related citrus cultivars using UPLC-ESI-MS/MS-based widely targeted metabolomics. PLoS One 2021; 16:e0254759. [PMID: 34283861 PMCID: PMC8291699 DOI: 10.1371/journal.pone.0254759] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Accepted: 07/05/2021] [Indexed: 12/27/2022] Open
Abstract
Citrus cultivars are widely spread worldwide, and some of them only differ by specific mutations along the genome. It is difficult to distinguish them by traditional morphological identification. To accurately identify such similar cultivars, the subtle differences between them must be detected. In this study, UPLC-ESI-MS/MS-based widely targeted metabolomics analysis was conducted to study the chemical differences between two closely related citrus cultivars, Citrus reticulata 'DHP' and C. reticulata 'BZH'. Totally 352 metabolites including 11 terpenoids, 35 alkaloids, 80 phenolic acids, 25 coumarins, 7 lignans, 184 flavonoids and 10 other compounds were detected and identified; Among them, 15 metabolites are unique to DHP and 16 metabolites are unique to BZH. Hierarchical cluster analysis (HCA), principal component analysis (PCA), and orthogonal signal correction and partial least squares-discriminant analysis (OPLS-DA) can be used to clearly discriminate between DHP and BZH. 93 metabolites including 36 down-regulated and 57 up-regulated are significantly different in DHP and BZH. They are mainly involved in the biosynthesis of flavonoids, flavones, flavonols, and isoflavonoids. In addition, the relative content levels of flavonoids, alkaloids, and terpenoids are much higher in the peel of DHP than that of BZH, the presence of which may correlate with the quality difference of the peels. The results reported herein indicate that metabolite analysis based on UPLC-ESI-MS/MS is an effective means of identifying cultivars with different genotypes, especially those that cannot be distinguished based on traditional identification methods.
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Affiliation(s)
- Fu Wang
- Department of Pharmacy, Standardization Education Ministry Key Laboratory of Traditional Chinese Medicine, Chengdu University of TCM, Chengdu, Sichuan, China
- Food & Drugs Authority of Nanchong, Nanchong, Sichuan, China
| | - Lin Chen
- Department of Pharmacy, Standardization Education Ministry Key Laboratory of Traditional Chinese Medicine, Chengdu University of TCM, Chengdu, Sichuan, China
| | - Shiwei Chen
- Food & Drugs Authority of Nanchong, Nanchong, Sichuan, China
| | - Hongping Chen
- Department of Pharmacy, Standardization Education Ministry Key Laboratory of Traditional Chinese Medicine, Chengdu University of TCM, Chengdu, Sichuan, China
| | - Youping Liu
- Department of Pharmacy, Standardization Education Ministry Key Laboratory of Traditional Chinese Medicine, Chengdu University of TCM, Chengdu, Sichuan, China
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Medeiros DB, Brotman Y, Fernie AR. The utility of metabolomics as a tool to inform maize biology. PLANT COMMUNICATIONS 2021; 2:100187. [PMID: 34327322 PMCID: PMC8299083 DOI: 10.1016/j.xplc.2021.100187] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 03/26/2021] [Accepted: 04/19/2021] [Indexed: 05/04/2023]
Abstract
With the rise of high-throughput omics tools and the importance of maize and its products as food and bioethanol, maize metabolism has been extensively explored. Modern maize is still rich in genetic and phenotypic variation, yielding a wide range of structurally and functionally diverse metabolites. The maize metabolome is also incredibly dynamic in terms of topology and subcellular compartmentalization. In this review, we examine a broad range of studies that cover recent developments in maize metabolism. Particular attention is given to current methodologies and to the use of metabolomics as a tool to define biosynthetic pathways and address biological questions. We also touch upon the use of metabolomics to understand maize natural variation and evolution, with a special focus on research that has used metabolite-based genome-wide association studies (mGWASs).
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Affiliation(s)
- David B. Medeiros
- Max Planck Institute of Molecular Plant Physiology, Potsdam, Germany
| | - Yariv Brotman
- Department of Life Sciences, Ben-Gurion University of the Negev, Beersheva, Israel
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42
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Genome-wide association studies: assessing trait characteristics in model and crop plants. Cell Mol Life Sci 2021; 78:5743-5754. [PMID: 34196733 PMCID: PMC8316211 DOI: 10.1007/s00018-021-03868-w] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Revised: 05/28/2021] [Accepted: 05/29/2021] [Indexed: 01/19/2023]
Abstract
GWAS involves testing genetic variants across the genomes of many individuals of a population to identify genotype–phenotype association. It was initially developed and has proven highly successful in human disease genetics. In plants genome-wide association studies (GWAS) initially focused on single feature polymorphism and recombination and linkage disequilibrium but has now been embraced by a plethora of different disciplines with several thousand studies being published in model and crop species within the last decade or so. Here we will provide a comprehensive review of these studies providing cases studies on biotic resistance, abiotic tolerance, yield associated traits, and metabolic composition. We also detail current strategies of candidate gene validation as well as the functional study of haplotypes. Furthermore, we provide a critical evaluation of the GWAS strategy and its alternatives as well as future perspectives that are emerging with the emergence of pan-genomic datasets.
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43
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Wu X, Feng H, Wu D, Yan S, Zhang P, Wang W, Zhang J, Ye J, Dai G, Fan Y, Li W, Song B, Geng Z, Yang W, Chen G, Qin F, Terzaghi W, Stitzer M, Li L, Xiong L, Yan J, Buckler E, Yang W, Dai M. Using high-throughput multiple optical phenotyping to decipher the genetic architecture of maize drought tolerance. Genome Biol 2021; 22:185. [PMID: 34162419 PMCID: PMC8223302 DOI: 10.1186/s13059-021-02377-0] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 05/10/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Drought threatens the food supply of the world population. Dissecting the dynamic responses of plants to drought will be beneficial for breeding drought-tolerant crops, as the genetic controls of these responses remain largely unknown. RESULTS Here we develop a high-throughput multiple optical phenotyping system to noninvasively phenotype 368 maize genotypes with or without drought stress over a course of 98 days, and collected multiple optical images, including color camera scanning, hyperspectral imaging, and X-ray computed tomography images. We develop high-throughput analysis pipelines to extract image-based traits (i-traits). Of these i-traits, 10,080 were effective and heritable indicators of maize external and internal drought responses. An i-trait-based genome-wide association study reveals 4322 significant locus-trait associations, representing 1529 quantitative trait loci (QTLs) and 2318 candidate genes, many that co-localize with previously reported maize drought responsive QTLs. Expression QTL (eQTL) analysis uncovers many local and distant regulatory variants that control the expression of the candidate genes. We use genetic mutation analysis to validate two new genes, ZmcPGM2 and ZmFAB1A, which regulate i-traits and drought tolerance. Moreover, the value of the candidate genes as drought-tolerant genetic markers is revealed by genome selection analysis, and 15 i-traits are identified as potential markers for maize drought tolerance breeding. CONCLUSION Our study demonstrates that combining high-throughput multiple optical phenotyping and GWAS is a novel and effective approach to dissect the genetic architecture of complex traits and clone drought-tolerance associated genes.
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Affiliation(s)
- Xi Wu
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, and Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Hongshan laboratory, Wuhan, 430070, China
| | - Hui Feng
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, and Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Di Wu
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, and Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Shijuan Yan
- Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
| | - Pei Zhang
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, and Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Wenbin Wang
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, and Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Jun Zhang
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, and Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Junli Ye
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, and Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Guoxin Dai
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, and Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Yuan Fan
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, and Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Weikun Li
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, and Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Baoxing Song
- School of Integrative Plant Sciences, Section of Plant Breeding and Genetics, Cornell University, Ithaca, NY, 14850, USA
| | - Zedong Geng
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, and Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Wanli Yang
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, and Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Guoxin Chen
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, and Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Feng Qin
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing, 100193, China
| | - William Terzaghi
- Department of Biology, Wilkes University, Wilkes-Barre, PA, 18766, USA
| | - Michelle Stitzer
- School of Integrative Plant Sciences, Section of Plant Breeding and Genetics, Cornell University, Ithaca, NY, 14850, USA
| | - Lin Li
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, and Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Lizhong Xiong
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, and Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Hongshan laboratory, Wuhan, 430070, China
| | - Jianbing Yan
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, and Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Hongshan laboratory, Wuhan, 430070, China
| | - Edward Buckler
- School of Integrative Plant Sciences, Section of Plant Breeding and Genetics, Cornell University, Ithaca, NY, 14850, USA
- Institute for Genomic Diversity, Cornell University, Ithaca, NY, 14850, USA
- Agricultural Research Service, United States Department of Agriculture, Ithaca, NY, 14850, USA
| | - Wanneng Yang
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, and Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University, Wuhan, 430070, China.
| | - Mingqiu Dai
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, and Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University, Wuhan, 430070, China.
- Hubei Hongshan laboratory, Wuhan, 430070, China.
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Ding Y, Northen TR, Khalil A, Huffaker A, Schmelz EA. Getting back to the grass roots: harnessing specialized metabolites for improved crop stress resilience. Curr Opin Biotechnol 2021; 70:174-186. [PMID: 34129999 DOI: 10.1016/j.copbio.2021.05.010] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 05/06/2021] [Accepted: 05/31/2021] [Indexed: 12/12/2022]
Abstract
Roots remain an understudied site of complex and important biological interactions mediating plant productivity. In grain and bioenergy crops, grass root specialized metabolites (GRSM) are central to key interactions, yet our basic knowledge of the chemical language remains fragmentary. Continued improvements in plant genome assembly and metabolomics are enabling large-scale advances in the discovery of specialized metabolic pathways as a means of regulating root-biotic interactions. Metabolomics, transcript coexpression analyses, forward genetic studies, gene synthesis and heterologous expression assays drive efficient pathway discoveries. Functional genetic variants identified through genome wide analyses, targeted CRISPR/Cas9 approaches, and both native and non-native overexpression studies critically inform novel strategies for bioengineering metabolic pathways to improve plant traits.
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Affiliation(s)
- Yezhang Ding
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Trent R Northen
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; Joint BioEnergy Institute, Emeryville, CA 94608, USA
| | - Ahmed Khalil
- Section of Cell and Developmental Biology, University of California at San Diego, La Jolla, CA, USA
| | - Alisa Huffaker
- Section of Cell and Developmental Biology, University of California at San Diego, La Jolla, CA, USA
| | - Eric A Schmelz
- Section of Cell and Developmental Biology, University of California at San Diego, La Jolla, CA, USA.
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45
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Liang X, Liu S, Wang T, Li F, Cheng J, Lai J, Qin F, Li Z, Wang X, Jiang C. Metabolomics-driven gene mining and genetic improvement of tolerance to salt-induced osmotic stress in maize. THE NEW PHYTOLOGIST 2021; 230:2355-2370. [PMID: 33666235 DOI: 10.1111/nph.17323] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Accepted: 02/22/2021] [Indexed: 05/06/2023]
Abstract
The farmland of the world's main corn-producing area is increasingly affected by salt stress. Therefore, the breeding of salt-tolerant cultivars is necessary for the long-term sustainability of global corn production. Previous studies have shown that natural maize varieties display a large diversity of salt tolerance, yet the genetic variants underlying such diversity remain poorly discovered and applied, especially those mediating the tolerance to salt-induced osmotic stress (SIOS). Here we report a metabolomics-driven understanding and genetic improvement of maize SIOS tolerance. Using a LC-MS-based untargeted metabolomics approach, we profiled the metabolomes of 266 maize inbred lines under control and salt conditions, and then identified 37 metabolite biomarkers of SIOS tolerance (METO1-37). Follow-up metabolic GWAS (mGWAS) and genotype-to-phenotype modeling identified 10 candidate genes significantly associating with the SIOS tolerance and METO abundances. Furthermore, we validated that a citrate synthase, a glucosyltransferase and a cytochrome P450 underlie the genotype-METO-SIOS tolerance associations, and showed that their favorable alleles additively improve the SIOS tolerance of elite maize inbred lines. Our study provides a novel insight into the natural variation of maize SIOS tolerance, which boosts the genetic improvement of maize salt tolerance, and demonstrates a metabolomics-based approach for mining crop genes associated with this complex agronomic trait.
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Affiliation(s)
- Xiaoyan Liang
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing, 100094, China
| | - Songyu Liu
- Laboratory of Agrobiotechnology and National Maize Improvement Center of China, Department of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Tao Wang
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing, 100094, China
| | - Fenrong Li
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing, 100094, China
| | - Jinkui Cheng
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing, 100094, China
- Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing, 100094, China
| | - Jinsheng Lai
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing, 100094, China
- Laboratory of Agrobiotechnology and National Maize Improvement Center of China, Department of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
- Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing, 100094, China
| | - Feng Qin
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing, 100094, China
- Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing, 100094, China
| | - Zhen Li
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing, 100094, China
| | - Xiangfeng Wang
- Laboratory of Agrobiotechnology and National Maize Improvement Center of China, Department of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Caifu Jiang
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing, 100094, China
- Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing, 100094, China
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Simpson JP, Wunderlich C, Li X, Svedin E, Dilkes B, Chapple C. Metabolic source isotopic pair labeling and genome-wide association are complementary tools for the identification of metabolite-gene associations in plants. THE PLANT CELL 2021; 33:492-510. [PMID: 33955498 PMCID: PMC8136897 DOI: 10.1093/plcell/koaa046] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 12/21/2020] [Indexed: 05/02/2023]
Abstract
The optimal extraction of information from untargeted metabolomics analyses is a continuing challenge. Here, we describe an approach that combines stable isotope labeling, liquid chromatography- mass spectrometry (LC-MS), and a computational pipeline to automatically identify metabolites produced from a selected metabolic precursor. We identified the subset of the soluble metabolome generated from phenylalanine (Phe) in Arabidopsis thaliana, which we refer to as the Phe-derived metabolome (FDM) In addition to identifying Phe-derived metabolites present in a single wild-type reference accession, the FDM was established in nine enzymatic and regulatory mutants in the phenylpropanoid pathway. To identify genes associated with variation in Phe-derived metabolites in Arabidopsis, MS features collected by untargeted metabolite profiling of an Arabidopsis diversity panel were retrospectively annotated to the FDM and natural genetic variants responsible for differences in accumulation of FDM features were identified by genome-wide association. Large differences in Phe-derived metabolite accumulation and presence/absence variation of abundant metabolites were observed in the nine mutants as well as between accessions from the diversity panel. Many Phe-derived metabolites that accumulated in mutants also accumulated in non-Col-0 accessions and was associated to genes with known or suspected functions in the phenylpropanoid pathway as well as genes with no known functions. Overall, we show that cataloguing a biochemical pathway's products through isotopic labeling across genetic variants can substantially contribute to the identification of metabolites and genes associated with their biosynthesis.
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Affiliation(s)
| | | | - Xu Li
- Plants for Human Health Institute, North Carolina State University, Kannapolis, NC 28081, USA
- Department of Plant and Microbial Biology, North Carolina State University, Raleigh, NC 27695, USA
| | | | - Brian Dilkes
- Department of Biochemistry, Purdue University, West Lafayette, IN 47907, USA
- Purdue University Center for Plant Biology, West Lafayette, IN 47907, USA
| | - Clint Chapple
- Department of Biochemistry, Purdue University, West Lafayette, IN 47907, USA
- Purdue University Center for Plant Biology, West Lafayette, IN 47907, USA
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47
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Zhao B, Zhang S, Yang W, Li B, Lan C, Zhang J, Yuan L, Wang Y, Xie Q, Han J, Mur LAJ, Hao X, Roberts JA, Miao Y, Yu K, Zhang X. Multi-omic dissection of the drought resistance traits of soybean landrace LX. PLANT, CELL & ENVIRONMENT 2021; 44:1379-1398. [PMID: 33554357 DOI: 10.1111/pce.14025] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 01/20/2021] [Accepted: 02/01/2021] [Indexed: 06/12/2023]
Abstract
With diverse genetic backgrounds, soybean landraces are valuable resource for breeding programs. Herein, we apply multi-omic approaches to extensively characterize the molecular basis of drought tolerance in the soybean landrace LX. Initial screens established that LX performed better with PEG6000 treatment than control cultivars. LX germinated better than William 82 under drought conditions and accumulated more anthocyanin and flavonoids. Untargeted mass spectrometry in combination with transcriptomic analyses revealed the chemical diversity and genetic basis underlying the overall performance of LX landrace. Under control and drought conditions, significant differences in the expression of a suite of secondary metabolism genes, particularly those involved in the general phenylpropanoid pathway and flavonoid but not lignin biosynthesis, were seen in LX and William 82. The expression of these genes correlated with the corresponding metabolites in LX plants. Further correlation analysis between metabolites and transcripts identified pathway structural genes and transcription factors likely are responsible for the LX agronomic traits. The activities of some key biosynthetic genes or regulators were confirmed through heterologous expression in transgenic Arabidopsis and hairy root transformation in soybean. We propose a regulatory mechanism based on flavonoid secondary metabolism and adaptive traits of this landrace which could be of relevance to cultivated soybean.
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Affiliation(s)
- Bing Zhao
- State Key Laboratory of Crop Stress Adaptation and Improvement, Henan Joint International Laboratory for Crop Multi-Omics Research, School of Life Sciences, Henan University, Kaifeng, China
| | - Shulin Zhang
- State Key Laboratory of Crop Stress Adaptation and Improvement, Henan Joint International Laboratory for Crop Multi-Omics Research, School of Life Sciences, Henan University, Kaifeng, China
- College of Biology and Food Engineering, Innovation and Practice Base for Postdoctors, Anyang Institute of Technology, Anyang, China
| | - Wenqi Yang
- State Key Laboratory of Crop Stress Adaptation and Improvement, Henan Joint International Laboratory for Crop Multi-Omics Research, School of Life Sciences, Henan University, Kaifeng, China
| | - Bingyan Li
- College of Agronomy, Shanxi Agricultural University, Taigu, China
| | - Chen Lan
- State Key Laboratory of Crop Stress Adaptation and Improvement, Henan Joint International Laboratory for Crop Multi-Omics Research, School of Life Sciences, Henan University, Kaifeng, China
| | - Junli Zhang
- State Key Laboratory of Crop Stress Adaptation and Improvement, Henan Joint International Laboratory for Crop Multi-Omics Research, School of Life Sciences, Henan University, Kaifeng, China
| | - Li Yuan
- State Key Laboratory of Crop Stress Adaptation and Improvement, Henan Joint International Laboratory for Crop Multi-Omics Research, School of Life Sciences, Henan University, Kaifeng, China
| | - Yu Wang
- State Key Laboratory of Crop Stress Adaptation and Improvement, Henan Joint International Laboratory for Crop Multi-Omics Research, School of Life Sciences, Henan University, Kaifeng, China
| | - Qiguang Xie
- State Key Laboratory of Crop Stress Adaptation and Improvement, Henan Joint International Laboratory for Crop Multi-Omics Research, School of Life Sciences, Henan University, Kaifeng, China
| | - Jiwan Han
- College of Agronomy, Shanxi Agricultural University, Taigu, China
| | - Luis A J Mur
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, UK
| | - Xingyu Hao
- College of Agronomy, Shanxi Agricultural University, Taigu, China
| | - Jeremy A Roberts
- Faculty of Science and Engineering, School of Biological & Marine Sciences, University of Plymouth, Devon, UK
| | - Yuchen Miao
- State Key Laboratory of Crop Stress Adaptation and Improvement, Henan Joint International Laboratory for Crop Multi-Omics Research, School of Life Sciences, Henan University, Kaifeng, China
| | - Ke Yu
- State Key Laboratory of Crop Stress Adaptation and Improvement, Henan Joint International Laboratory for Crop Multi-Omics Research, School of Life Sciences, Henan University, Kaifeng, China
| | - Xuebin Zhang
- State Key Laboratory of Crop Stress Adaptation and Improvement, Henan Joint International Laboratory for Crop Multi-Omics Research, School of Life Sciences, Henan University, Kaifeng, China
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48
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Urrutia M, Blein‐Nicolas M, Prigent S, Bernillon S, Deborde C, Balliau T, Maucourt M, Jacob D, Ballias P, Bénard C, Sellier H, Gibon Y, Giauffret C, Zivy M, Moing A. Maize metabolome and proteome responses to controlled cold stress partly mimic early-sowing effects in the field and differ from those of Arabidopsis. PLANT, CELL & ENVIRONMENT 2021; 44:1504-1521. [PMID: 33410508 PMCID: PMC8248070 DOI: 10.1111/pce.13993] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Accepted: 12/31/2020] [Indexed: 05/21/2023]
Abstract
In Northern Europe, sowing maize one-month earlier than current agricultural practices may lead to moderate chilling damage. However, studies of the metabolic responses to low, non-freezing, temperatures remain scarce. Here, genetically-diverse maize hybrids (Zea mays, dent inbred lines crossed with a flint inbred line) were cultivated in a growth chamber at optimal temperature and then three decreasing temperatures for 2 days each, as well as in the field. Leaf metabolomic and proteomic profiles were determined. In the growth chamber, 50% of metabolites and 18% of proteins changed between 20 and 16°C. These maize responses, partly differing from those of Arabidopsis to short-term chilling, were mapped on genome-wide metabolic maps. Several metabolites and proteins showed similar variation for all temperature decreases: seven MS-based metabolite signatures and two proteins involved in photosynthesis decreased continuously. Several increasing metabolites or proteins in the growth-chamber chilling conditions showed similar trends in the early-sowing field experiment, including trans-aconitate, three hydroxycinnamate derivatives, a benzoxazinoid, a sucrose synthase, lethal leaf-spot 1 protein, an allene oxide synthase, several glutathione transferases and peroxidases. Hybrid groups based on field biomass were used to search for the metabolite or protein responses differentiating them in growth-chamber conditions, which could be of interest for breeding.
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Affiliation(s)
- Maria Urrutia
- Biologie du Fruit et Pathologie, UMR 1332, Centre INRAE de Nouvelle Aquitaine‐BordeauxINRAE, Univ.Villenave d'OrnonFrance
- Present address:
Dtp. Biología Molecular y BioquímicaUniv. MálagaMálagaSpain
| | - Mélisande Blein‐Nicolas
- INRAE, CNRS, AgroParisTech, GQE‐Le MoulonUniv. Paris‐SaclayGif‐sur‐YvetteFrance
- PAPPSO, doi:10.15454/1.5572393176364355E12, GQE‐Le MoulonGif‐sur‐YvetteFrance
| | - Sylvain Prigent
- Biologie du Fruit et Pathologie, UMR 1332, Centre INRAE de Nouvelle Aquitaine‐BordeauxINRAE, Univ.Villenave d'OrnonFrance
| | - Stéphane Bernillon
- Biologie du Fruit et Pathologie, UMR 1332, Centre INRAE de Nouvelle Aquitaine‐BordeauxINRAE, Univ.Villenave d'OrnonFrance
- PMB‐Metabolome, INRAE, 2018, Bordeaux Metabolome, doi:10.15454/1.5572412770331912E12, MetaboHUB, PHENOME, IBVM, Centre INRAE de Nouvelle Aquitaine‐BordeauxVillenave d'OrnonFrance
| | - Catherine Deborde
- Biologie du Fruit et Pathologie, UMR 1332, Centre INRAE de Nouvelle Aquitaine‐BordeauxINRAE, Univ.Villenave d'OrnonFrance
- PMB‐Metabolome, INRAE, 2018, Bordeaux Metabolome, doi:10.15454/1.5572412770331912E12, MetaboHUB, PHENOME, IBVM, Centre INRAE de Nouvelle Aquitaine‐BordeauxVillenave d'OrnonFrance
| | - Thierry Balliau
- INRAE, CNRS, AgroParisTech, GQE‐Le MoulonUniv. Paris‐SaclayGif‐sur‐YvetteFrance
- PAPPSO, doi:10.15454/1.5572393176364355E12, GQE‐Le MoulonGif‐sur‐YvetteFrance
| | - Mickaël Maucourt
- Biologie du Fruit et Pathologie, UMR 1332, Centre INRAE de Nouvelle Aquitaine‐BordeauxINRAE, Univ.Villenave d'OrnonFrance
- PMB‐Metabolome, INRAE, 2018, Bordeaux Metabolome, doi:10.15454/1.5572412770331912E12, MetaboHUB, PHENOME, IBVM, Centre INRAE de Nouvelle Aquitaine‐BordeauxVillenave d'OrnonFrance
| | - Daniel Jacob
- Biologie du Fruit et Pathologie, UMR 1332, Centre INRAE de Nouvelle Aquitaine‐BordeauxINRAE, Univ.Villenave d'OrnonFrance
- PMB‐Metabolome, INRAE, 2018, Bordeaux Metabolome, doi:10.15454/1.5572412770331912E12, MetaboHUB, PHENOME, IBVM, Centre INRAE de Nouvelle Aquitaine‐BordeauxVillenave d'OrnonFrance
| | - Patricia Ballias
- Biologie du Fruit et Pathologie, UMR 1332, Centre INRAE de Nouvelle Aquitaine‐BordeauxINRAE, Univ.Villenave d'OrnonFrance
- PMB‐Metabolome, INRAE, 2018, Bordeaux Metabolome, doi:10.15454/1.5572412770331912E12, MetaboHUB, PHENOME, IBVM, Centre INRAE de Nouvelle Aquitaine‐BordeauxVillenave d'OrnonFrance
| | - Camille Bénard
- Biologie du Fruit et Pathologie, UMR 1332, Centre INRAE de Nouvelle Aquitaine‐BordeauxINRAE, Univ.Villenave d'OrnonFrance
- PMB‐Metabolome, INRAE, 2018, Bordeaux Metabolome, doi:10.15454/1.5572412770331912E12, MetaboHUB, PHENOME, IBVM, Centre INRAE de Nouvelle Aquitaine‐BordeauxVillenave d'OrnonFrance
| | | | - Yves Gibon
- Biologie du Fruit et Pathologie, UMR 1332, Centre INRAE de Nouvelle Aquitaine‐BordeauxINRAE, Univ.Villenave d'OrnonFrance
- PMB‐Metabolome, INRAE, 2018, Bordeaux Metabolome, doi:10.15454/1.5572412770331912E12, MetaboHUB, PHENOME, IBVM, Centre INRAE de Nouvelle Aquitaine‐BordeauxVillenave d'OrnonFrance
| | - Catherine Giauffret
- INRAE, Univ. Liège, Univ. Lille, Univ. Picardie Jules Verne, BioEcoAgroPeronneFrance
| | - Michel Zivy
- INRAE, CNRS, AgroParisTech, GQE‐Le MoulonUniv. Paris‐SaclayGif‐sur‐YvetteFrance
- PAPPSO, doi:10.15454/1.5572393176364355E12, GQE‐Le MoulonGif‐sur‐YvetteFrance
| | - Annick Moing
- Biologie du Fruit et Pathologie, UMR 1332, Centre INRAE de Nouvelle Aquitaine‐BordeauxINRAE, Univ.Villenave d'OrnonFrance
- PMB‐Metabolome, INRAE, 2018, Bordeaux Metabolome, doi:10.15454/1.5572412770331912E12, MetaboHUB, PHENOME, IBVM, Centre INRAE de Nouvelle Aquitaine‐BordeauxVillenave d'OrnonFrance
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Strable J. Developmental genetics of maize vegetative shoot architecture. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2021; 41:19. [PMID: 37309417 PMCID: PMC10236122 DOI: 10.1007/s11032-021-01208-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 01/25/2021] [Indexed: 06/13/2023]
Abstract
More than 1.1 billion tonnes of maize grain were harvested across 197 million hectares in 2019 (FAOSTAT 2020). The vast global productivity of maize is largely driven by denser planting practices, higher yield potential per area of land, and increased yield potential per plant. Shoot architecture, the three-dimensional structural arrangement of the above-ground plant body, is critical to maize grain yield and biomass. Structure of the shoot is integral to all aspects of modern agronomic practices. Here, the developmental genetics of the maize vegetative shoot is reviewed. Plant architecture is ultimately determined by meristem activity, developmental patterning, and growth. The following topics are discussed: shoot apical meristem, leaf architecture, axillary meristem and shoot branching, and intercalary meristem and stem activity. Where possible, classical and current studies in maize developmental genetics, as well as recent advances leveraged by "-omics" analyses, are highlighted within these sections. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-021-01208-1.
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Affiliation(s)
- Josh Strable
- Plant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, NY 14853 USA
- Present Address: Department of Molecular and Structural Biochemistry, North Carolina State University, Raleigh, NC 27695 USA
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50
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Nephali L, Moodley V, Piater L, Steenkamp P, Buthelezi N, Dubery I, Burgess K, Huyser J, Tugizimana F. A Metabolomic Landscape of Maize Plants Treated With a Microbial Biostimulant Under Well-Watered and Drought Conditions. FRONTIERS IN PLANT SCIENCE 2021; 12:676632. [PMID: 34149776 PMCID: PMC8210945 DOI: 10.3389/fpls.2021.676632] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Accepted: 04/30/2021] [Indexed: 05/16/2023]
Abstract
Microbial plant biostimulants have been successfully applied to improve plant growth, stress resilience and productivity. However, the mechanisms of action of biostimulants are still enigmatic, which is the main bottleneck for the fully realization and implementation of biostimulants into the agricultural industry. Here, we report the elucidation of a global metabolic landscape of maize (Zea mays L) leaves in response to a microbial biostimulant, under well-watered and drought conditions. The study reveals that the increased pool of tricarboxylic acid (TCA) intermediates, alterations in amino acid levels and differential changes in phenolics and lipids are key metabolic signatures induced by the application of the microbial-based biostimulant. These reconfigurations of metabolism gravitate toward growth-promotion and defense preconditioning of the plant. Furthermore, the application of microbial biostimulant conferred enhanced drought resilience to maize plants via altering key metabolic pathways involved in drought resistance mechanisms such as the redox homeostasis, strengthening of the plant cell wall, osmoregulation, energy production and membrane remodeling. For the first time, we show key molecular events, metabolic reprogramming, activated by a microbial biostimulant for plant growth promotion and defense priming. Thus, these elucidated metabolomic insights contribute to ongoing efforts in decoding modes of action of biostimulants and generating fundamental scientific knowledgebase that is necessary for the development of the plant biostimulants industry, for sustainable food security.
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Affiliation(s)
- Lerato Nephali
- Department of Biochemistry, University of Johannesburg, Johannesburg, South Africa
| | - Venessa Moodley
- International Research and Development Division, Omnia Group, Ltd., Johannesburg, South Africa
| | - Lizelle Piater
- Department of Biochemistry, University of Johannesburg, Johannesburg, South Africa
| | - Paul Steenkamp
- Department of Biochemistry, University of Johannesburg, Johannesburg, South Africa
| | - Nombuso Buthelezi
- Department of Biochemistry, University of Johannesburg, Johannesburg, South Africa
| | - Ian Dubery
- Department of Biochemistry, University of Johannesburg, Johannesburg, South Africa
| | - Karl Burgess
- Institute of Quantitative Biology, Biochemistry and Biotechnology, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Johan Huyser
- International Research and Development Division, Omnia Group, Ltd., Johannesburg, South Africa
| | - Fidele Tugizimana
- Department of Biochemistry, University of Johannesburg, Johannesburg, South Africa
- International Research and Development Division, Omnia Group, Ltd., Johannesburg, South Africa
- *Correspondence: Fidele Tugizimana,
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