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Liu T, Wang P, Chen Y, Sun B, Li Q, Wan H, Yang W, Ma P, Zhang D, Dong G, Chen S, Chen Q, Ma W, Sun W. LC-MS and MALDI-MSI-based metabolomic approaches provide insights into the spatial-temporal metabolite profiles of Tartary buckwheat achene development. Food Chem 2024; 449:139183. [PMID: 38604028 DOI: 10.1016/j.foodchem.2024.139183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 03/03/2024] [Accepted: 03/27/2024] [Indexed: 04/13/2024]
Abstract
Tartary buckwheat, celebrated as the "king of grains" for its flavonoid and phenolic acid richness, has health-promoting properties. Despite significant morphological and metabolic variations in mature achenes, research on their developmental process is limited. Utilizing Liquid chromatography-mass spectrometry and atmospheric pressure matrix-assisted laser desorption/ionization mass spectrometry imaging, we conducted spatial-temporal metabolomics on two cultivars during achene development. Metabolic profiles including 17 phenolic acids and 83 flavonoids are influenced by both varietal distinctions and developmental intricacies. Notably, flavonols, as major flavonoids, accumulated with achene ripening and showed a tissue-specific distribution. Specifically, flavonol glycosides and aglycones concentrated in the embryo, while methylated flavonols and procyanidins in the hull. Black achenes at the green achene stage have higher bioactive compounds and enhanced antioxidant capacity. These findings provide insights into spatial and temporal characteristics of metabolites in Tartary buckwheat achenes and serve as a theoretical guide for selecting optimal resources for food production.
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Affiliation(s)
- Tingxia Liu
- College of Pharmaceutical Sciences, Heilongjiang University of Chinese Medicine, Harbin 150040, China; State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Peng Wang
- College of Life Science, Northwest A & F University, Yangling 712100, China
| | - Yiling Chen
- Amway (China) Botanical R&D Centre, Wuxi 214115, China
| | - Boshi Sun
- College of Life Science, Northwest A & F University, Yangling 712100, China
| | - Qing Li
- State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Huihua Wan
- State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Wei Yang
- State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Pengda Ma
- College of Life Science, Northwest A & F University, Yangling 712100, China
| | - Dong Zhang
- College of Agriculture, South China Agricultural University, Guangzhou Laboratory for Lingnan Modern Agriculture Science and Technology, Guangzhou 510642, China
| | | | - Shilin Chen
- State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Qingfu Chen
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Baoshan Beilu15 116, Guiyang 550001, China
| | - Wei Ma
- College of Pharmaceutical Sciences, Heilongjiang University of Chinese Medicine, Harbin 150040, China.
| | - Wei Sun
- State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China.
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Yin B, Jia J, Sun X, Hu X, Ao M, Liu W, Tian Z, Liu H, Li D, Tian W, Hao Y, Xia X, Sade N, Brotman Y, Fernie AR, Chen J, He Z, Chen W. Dynamic metabolite QTL analyses provide novel biochemical insights into kernel development and nutritional quality improvement in common wheat. PLANT COMMUNICATIONS 2024; 5:100792. [PMID: 38173227 PMCID: PMC11121174 DOI: 10.1016/j.xplc.2024.100792] [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: 08/20/2023] [Revised: 12/20/2023] [Accepted: 01/01/2024] [Indexed: 01/05/2024]
Abstract
Despite recent advances in crop metabolomics, the genetic control and molecular basis of the wheat kernel metabolome at different developmental stages remain largely unknown. Here, we performed widely targeted metabolite profiling of kernels from three developmental stages (grain-filling kernels [FKs], mature kernels [MKs], and germinating kernels [GKs]) using a population of 159 recombinant inbred lines. We detected 625 annotated metabolites and mapped 3173, 3143, and 2644 metabolite quantitative trait loci (mQTLs) in FKs, MKs, and GKs, respectively. Only 52 mQTLs were mapped at all three stages, indicating the high stage specificity of the wheat kernel metabolome. Four candidate genes were functionally validated by in vitro enzymatic reactions and/or transgenic approaches in wheat, three of which mediated the tricin metabolic pathway. Metabolite flux efficiencies within the tricin pathway were evaluated, and superior candidate haplotypes were identified, comprehensively delineating the tricin metabolism pathway in wheat. Finally, additional wheat metabolic pathways were re-constructed by updating them to incorporate the 177 candidate genes identified in this study. Our work provides new information on variations in the wheat kernel metabolome and important molecular resources for improvement of wheat nutritional quality.
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Affiliation(s)
- Bo Yin
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, China
| | - Jingqi Jia
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, China
| | - Xu Sun
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, China
| | - Xin Hu
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, China
| | - Min Ao
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, China
| | - Wei Liu
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, China
| | - Zhitao Tian
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, China
| | - Hongbo Liu
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
| | - Dongqin Li
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China
| | - Wenfei Tian
- National Wheat Improvement Center, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yuanfeng Hao
- National Wheat Improvement Center, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xianchun Xia
- National Wheat Improvement Center, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Nir Sade
- School of Plant Sciences and Food Security, The Institute for Cereal Crops Improvement, Tel Aviv University, Tel Aviv 69978, Israel
| | - Yariv Brotman
- School of Plant Sciences and Food Security, The Institute for Cereal Crops Improvement, Tel Aviv University, Tel Aviv 69978, Israel
| | - Alisdair R Fernie
- Max Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany
| | - Jie Chen
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, China; Yazhouwan National Laboratory, Sanya 572025, China.
| | - Zhonghu He
- National Wheat Improvement Center, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
| | - Wei Chen
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, China.
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3
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Zhang C, Sha Y, Wang Q, Liu J, Zhang P, Cheng S, Qin P. Integrative metabolome and transcriptome profiling provide insights into elucidation of the synthetic mechanisms of phenolic compounds in Yunnan hulled wheat (Triticum aestivum ssp. yunnanense King). JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2024; 104:4109-4127. [PMID: 38308467 DOI: 10.1002/jsfa.13293] [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: 08/23/2023] [Revised: 12/11/2023] [Accepted: 01/03/2024] [Indexed: 02/04/2024]
Abstract
BACKGROUND Yunnan hulled wheat grains (YHWs) have abundant phenolic compounds (PCs). However, a systematic elucidation of the phenolic characteristics and molecular basis in YHWs is currently lacking. The aim of the study, for the first time, was to conduct metabolomic and transcriptomic analyses of YHWs at different developmental stages. RESULTS A total of five phenolic metabolite classes (phenolic acids, flavonoids, quinones, lignans and coumarins, and tannins) and 361 PCs were identified, with flavonoids and phenolic acids being the most abundant components. The relative abundance of the identified PCs showed a dynamic decreasing pattern with grain development, and the most significant differences in accumulation were between the enlargement and mature stage, which is consistent with the gene regulation patterns of the corresponding phenolic biosynthesis pathway. Through co-expression and co-network analysis, PAL, HCT, CCR, F3H, CHS, CHI and bZIP were identified and predicted as candidate key enzymes and transcription factors. CONCLUSION The results broaden our understanding of PC accumulation in wheat whole grains, especially the differential transfer between immature and mature grains. The identified PCs and potential regulatory factors provide important information for future in-depth research on the biosynthesis of PCs and the improvement of wheat nutritional quality. © 2024 Society of Chemical Industry.
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Affiliation(s)
- Chuanli Zhang
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, China
- College of Tropical Crops, Yunnan Agricultural University, Kunming, China
| | - Yun Sha
- Agricultural Technology Extension Station of Lincang, Lincang, China
| | - Qianchao Wang
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, China
| | - Junna Liu
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, China
| | - Ping Zhang
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, China
| | - Shunhe Cheng
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, China
- Jiangshu Lixiahe Institue of Agriculture Science, Yangzhou, China
| | - Peng Qin
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, China
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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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Kim S, Lee E, Lee J, An YJ, Oh E, Kim JI, Kim SW, Kim MY, Lee MH, Cho KS. Identification of QTLs and allelic effect controlling lignan content in sesame ( Sesamum indicum L.) using QTL-seq approach. Front Genet 2023; 14:1289793. [PMID: 38148976 PMCID: PMC10750367 DOI: 10.3389/fgene.2023.1289793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 11/27/2023] [Indexed: 12/28/2023] Open
Abstract
Sesame (Sesamum indicum L.), an oilseed crop, is gaining worldwide recognition for its healthy functional ingredients as consumption increases. The content of lignans, known for their antioxidant and anti-inflammatory effects, is a key agronomic trait that determines the industrialization of sesame. However, the study of the genetics and physiology of lignans in sesame is challenging, as they are influenced by multiple genes and environmental factors, therefore, the understanding of gene function and synthetic pathways related to lignan in sesame is still limited. To address these knowledge gaps, we conducted genetic analyses using F7 recombinant inbred line (RIL) populations derived from Goenbaek and Gomazou as low and high lignin content variants, respectively. Using the QTL-seq approach, we identified three loci, qLignan1-1, qLignan6-1, and qLignan11-1, that control lignan content, specifically sesamin and sesamolin. The allelic effect between loci was evaluated using the RIL population. qLignan6-1 had an additive effect that increased lignan content when combined with the other two loci, suggesting that it could be an important factor in gene pyramiding for the development of high-lignan varieties. This study not only highlights the value of sesame lignan, but also provides valuable insights for the development of high-lignan varieties through the use of DNA markers in breeding strategies. Overall, this research contributes to our understanding of the importance of sesame oil and facilitates progress in sesame breeding for improved lignan content.
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Affiliation(s)
- Sungup Kim
- Upland Crop Breeding Research Division, Department of Southern Area Crop Science, National Institute of Crop Science, Rural Development Administration, Miryang, Republic of Korea
| | - Eunsoo Lee
- Upland Crop Breeding Research Division, Department of Southern Area Crop Science, National Institute of Crop Science, Rural Development Administration, Miryang, Republic of Korea
| | - Jeongeun Lee
- Upland Crop Breeding Research Division, Department of Southern Area Crop Science, National Institute of Crop Science, Rural Development Administration, Miryang, Republic of Korea
| | - Yeon Ju An
- Upland Crop Breeding Research Division, Department of Southern Area Crop Science, National Institute of Crop Science, Rural Development Administration, Miryang, Republic of Korea
| | - Eunyoung Oh
- Upland Crop Breeding Research Division, Department of Southern Area Crop Science, National Institute of Crop Science, Rural Development Administration, Miryang, Republic of Korea
| | - Jung In Kim
- Upland Crop Breeding Research Division, Department of Southern Area Crop Science, National Institute of Crop Science, Rural Development Administration, Miryang, Republic of Korea
| | - Sang Woo Kim
- Upland Crop Breeding Research Division, Department of Southern Area Crop Science, National Institute of Crop Science, Rural Development Administration, Miryang, Republic of Korea
| | - Min Young Kim
- Upland Crop Breeding Research Division, Department of Southern Area Crop Science, National Institute of Crop Science, Rural Development Administration, Miryang, Republic of Korea
| | - Myoung Hee Lee
- Upland Crop Breeding Research Division, Department of Southern Area Crop Science, National Institute of Crop Science, Rural Development Administration, Miryang, Republic of Korea
| | - Kwang-Soo Cho
- Central Crop Breeding Research Division, Department of Central Area Crop Science, National Institute of Crop Science, Rural Development Administration, Suwon, Republic of Korea
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Li K, Cheng Y, Fang C. OsDWARF10, transcriptionally repressed by OsSPL3, regulates the nutritional metabolism of polished rice. FRONTIERS IN PLANT SCIENCE 2023; 14:1322463. [PMID: 38130489 PMCID: PMC10733476 DOI: 10.3389/fpls.2023.1322463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 11/21/2023] [Indexed: 12/23/2023]
Abstract
Strigolactone (SL) plays essential roles in plant development and the metabolism of rice leaves. However, the impact of SL on the accumulation of nutritional metabolites in polished rice, as well as the transcription factors directly involved in SL synthesis, remains elusive. In this study, we performed a metabolome analysis on polished rice samples from mutants of an SL biosynthetic gene, OsDWARF10 (OsD10). Compared with those in the wild type plants, primary and secondary metabolites exhibited a series of alterations in the d10 mutants. Notably, the d10 mutants showed a substantial increase in the amino acids and vitamins content. Through a yeast one-hybridization screening assay, we identified OsSPL3 as a transcription factor that binds to the OsD10 promoter, thereby inhibiting OsD10 transcription in vivo and in vitro. Furthermore, we conducted a metabolic profiling analysis in polished rice from plants that overexpressed OsSPL3 and observed enhanced levels of amino acids and vitamins. This study identified a novel transcriptional repressor of the SL biosynthetic gene and elucidated the regulatory roles of OsSPL3 and OsD10 on the accumulation of nutritional metabolites in polished rice.
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Affiliation(s)
- Kang Li
- Hainan Yazhou Bay Seed Laboratory, Scool of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Sanya, China
- School of Tropical Agriculture and Forestry, Hainan University, Haikou, China
| | - Yan Cheng
- School of Tropical Agriculture and Forestry, Hainan University, Haikou, China
| | - Chuanying Fang
- Hainan Yazhou Bay Seed Laboratory, Scool of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Sanya, China
- School of Tropical Agriculture and Forestry, Hainan University, Haikou, China
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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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Tuo D, Wu J, Zou J, Dong G, Zeng W, Li J, Du D. Analysis of Hormone Regulation on Seed Germination of Coix Based on Muli-Omics Analysis. PLANTS (BASEL, SWITZERLAND) 2023; 12:2700. [PMID: 37514314 PMCID: PMC10385750 DOI: 10.3390/plants12142700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 07/01/2023] [Accepted: 07/09/2023] [Indexed: 07/30/2023]
Abstract
Seed germination is an important stage of growth and reproduction and plays an important role in the life cycle of spermatophyte. It is co-determined by both genetic and environmental factors, and plant hormone regulation may be a highly conservative mechanism. Coix lachryrma-jobi (coix) is a grain with balanced nutrition for medicine and food and has substantial production value. It is an important part of agricultural production, and the efficiency of seed germination after sowing is a key link. In this study, coix species "small white shell Xingren" was used as the experimental material, and changes in gene expression levels and metabolite enrichment in seeds were identified by transcriptome and metabonomic analysis before and after seed germination. A total of 599 metabolites, including those from amino acid metabolism, sugar metabolism, and fatty acid metabolism, were significantly increased in germinating coix. Simultaneously, 10,929 differentially expressed genes (DEGs) were identified, and functional clusters of genes were also significantly clustered in hormone-signaling and glucose and fatty acid metabolism. In addition, this study found that a considerable number of hormone-signaling genes were significantly up-regulated during seed germination, activating multiple metabolic processes. The results of our conjoint analysis of multi omics showed that glucose and fatty acid metabolism played an important role in seed germination under hormone regulation.
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Affiliation(s)
- Donghao Tuo
- School of Life Science and Technology, Wuhan Polytechnic University, Wuhan 430023, China
| | - Jiawen Wu
- School of Life Science and Technology, Wuhan Polytechnic University, Wuhan 430023, China
| | - Juan Zou
- School of Life Science and Technology, Wuhan Polytechnic University, Wuhan 430023, China
| | - Guoqing Dong
- School of Life Science and Technology, Wuhan Polytechnic University, Wuhan 430023, China
| | - Wanyong Zeng
- School of Life Science and Technology, Wuhan Polytechnic University, Wuhan 430023, China
| | - Jinhua Li
- School of Life Science and Technology, Wuhan Polytechnic University, Wuhan 430023, China
| | - Dengxiang Du
- School of Life Science and Technology, Wuhan Polytechnic University, Wuhan 430023, China
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Zhang Y, Qin Y, Li D, Wang W, Gao X, Hao C, Feng H, Wang Y, Li T. Fine mapping and cloning of a novel BrSCC1 gene for seed coat color in Brassica rapa L. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:11. [PMID: 36658295 DOI: 10.1007/s00122-023-04287-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 12/19/2022] [Indexed: 06/17/2023]
Abstract
A novel BrSCC1 gene for seed coat color was fine mapped within a 41.1-kb interval on chromosome A03 in Brassica rapa and functionally validated by ectopic expression analysis. Yellow seed is a valuable breeding trait that can be potentiality applied for improving seed quality and oil productivity in oilseed Brassica crops. However, only few genes for yellow seed have been identified in B. rapa. We previously identified a minor quantitative trait locus (QTL), qSC3.1, for seed coat color on chromosome A03 in B. rapa. In order to isolate the seed coat color gene, a brown-seeded chromosome segment substitution line, CSSL-38, harboring the qSC3.1, was selected and crossed with the yellow-seeded recurrent parent, a rapid cycling inbred line of B. rapa (RcBr), to construct the secondary F2 population. Metabolite identification suggested that seed coat coloration in CSSL-38 was independent of proanthocyanidins (PAs) accumulation. Genetic analysis revealed that yellow seed was controlled by a single recessive gene, Seed Coat Color 1 (BrSCC1). Utilizing bulked segregant analysis (BSA)-seq and secondary F2 and F2:3 recombinants analysis, BrSCC1 was fine mapped within a 41.1-kb interval. By integrating gene expression profiling, genome sequence comparison, metabolite analysis, and functional validation through ectopic expression in Arabidopsis, the BraA03g040800.3C gene was confirmed to be BrSCC1, which positively correlated with the seed coat coloration. Our study provides a novel gene resource for the genetic improvement of yellow seeds in oilseed B. rapa.
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Affiliation(s)
- Yinghuan Zhang
- College of Horticulture, Shenyang Agricultural University, Shenyang, 110866, People's Republic of China
- Key Laboratory of Protected Horticulture, Ministry of Education, Shenyang Agricultural University, Shenyang, 110866, People's Republic of China
| | - Yao Qin
- College of Horticulture, Shenyang Agricultural University, Shenyang, 110866, People's Republic of China
- Key Laboratory of Protected Horticulture, Ministry of Education, Shenyang Agricultural University, Shenyang, 110866, People's Republic of China
| | - Dongxiao Li
- College of Horticulture, Shenyang Agricultural University, Shenyang, 110866, People's Republic of China
- Key Laboratory of Protected Horticulture, Ministry of Education, Shenyang Agricultural University, Shenyang, 110866, People's Republic of China
| | - Wei Wang
- College of Horticulture, Shenyang Agricultural University, Shenyang, 110866, People's Republic of China
- Key Laboratory of Protected Horticulture, Ministry of Education, Shenyang Agricultural University, Shenyang, 110866, People's Republic of China
| | - Xu Gao
- College of Horticulture, Shenyang Agricultural University, Shenyang, 110866, People's Republic of China
- Key Laboratory of Protected Horticulture, Ministry of Education, Shenyang Agricultural University, Shenyang, 110866, People's Republic of China
| | - Chunming Hao
- College of Horticulture, Shenyang Agricultural University, Shenyang, 110866, People's Republic of China
- Key Laboratory of Protected Horticulture, Ministry of Education, Shenyang Agricultural University, Shenyang, 110866, People's Republic of China
| | - Hui Feng
- College of Horticulture, Shenyang Agricultural University, Shenyang, 110866, People's Republic of China
- Key Laboratory of Protected Horticulture, Ministry of Education, Shenyang Agricultural University, Shenyang, 110866, People's Republic of China
| | - Yugang Wang
- College of Horticulture, Shenyang Agricultural University, Shenyang, 110866, People's Republic of China.
- Key Laboratory of Protected Horticulture, Ministry of Education, Shenyang Agricultural University, Shenyang, 110866, People's Republic of China.
- Hainan Yazhou Bay Seed Laboratory, Sanya, 572025, People's Republic of China.
| | - Tianlai Li
- College of Horticulture, Shenyang Agricultural University, Shenyang, 110866, People's Republic of China
- Key Laboratory of Protected Horticulture, Ministry of Education, Shenyang Agricultural University, Shenyang, 110866, People's Republic of China
- Hainan Yazhou Bay Seed Laboratory, Sanya, 572025, People's Republic of China
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10
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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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Metabolic Profiles Reveal Changes in the Leaves and Roots of Rapeseed (Brassica napus L.) Seedlings under Nitrogen Deficiency. Int J Mol Sci 2022; 23:ijms23105784. [PMID: 35628591 PMCID: PMC9142919 DOI: 10.3390/ijms23105784] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 05/17/2022] [Accepted: 05/19/2022] [Indexed: 11/23/2022] Open
Abstract
Rapeseed (Brassica napus L.) is an important oil crop species and plays a crucial role in supplying edible oil worldwide. However, rapeseed production in the field is often severely inhibited due to nitrogen (N) deficiency. Metabolites play key roles in plant growth and resistance to environmental stress, but little is known about the differential synthesis and accumulation of metabolites underlying rapeseed adaptation to N deficiency. Here, we studied the phenotypic response and used LC–electrospray ionization (ESI), ESI–MS/MS, and widely untargeted metabolomic approaches to detect differences in rapeseed under normal N (HN) and N-deficient (LN) conditions. The results showed that N deficiency severely inhibited rapeseed shoot growth and promoted rapeseed root architectural changes under LN conditions. In total, 574 metabolites were detected, and there were 175 and 166 differentially accumulated metabolites in the leaves and roots between the HN and LN conditions, respectively. The significantly differentially accumulated metabolites were involved in four primary metabolic pathways, namely, sucrose, phenylalanine, amino acid, and tricarboxylic acid cycle metabolism. Notably, we found that plant hormones have distinct accumulation patterns in rapeseed and coordinate to play crucial roles in both maintaining growth and protecting against damage from plant disease under HN and LN conditions. Moreover, our results indicated that flavonoid compounds, especially anthocyanins and rutin, may play important roles in increasing root cell resistance to oxidative damage and soil pathogen infections. Overall, this work provides valuable information for understanding the overall metabolite changes in rapeseed under N deficiency conditions, which may be beneficial for improving and producing new varieties of rapeseed capable of high yields under low N conditions.
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Wang C, Han B. Twenty years of rice genomics research: From sequencing and functional genomics to quantitative genomics. MOLECULAR PLANT 2022; 15:593-619. [PMID: 35331914 DOI: 10.1016/j.molp.2022.03.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 03/04/2022] [Accepted: 03/18/2022] [Indexed: 06/14/2023]
Abstract
Since the completion of the rice genome sequencing project in 2005, we have entered the era of rice genomics, which is still in its ascendancy. Rice genomics studies can be classified into three stages: structural genomics, functional genomics, and quantitative genomics. Structural genomics refers primarily to genome sequencing for the construction of a complete map of rice genome sequence. This is fundamental for rice genetics and molecular biology research. Functional genomics aims to decode the functions of rice genes. Quantitative genomics is large-scale sequence- and statistics-based research to define the quantitative traits and genetic features of rice populations. Rice genomics has been a transformative influence on rice biological research and contributes significantly to rice breeding, making rice a good model plant for studying crop sciences.
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Affiliation(s)
- Changsheng Wang
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233, China.
| | - Bin Han
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233, China.
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Medina-Lozano I, Díaz A. Applications of Genomic Tools in Plant Breeding: Crop Biofortification. Int J Mol Sci 2022; 23:3086. [PMID: 35328507 PMCID: PMC8950180 DOI: 10.3390/ijms23063086] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 03/04/2022] [Accepted: 03/10/2022] [Indexed: 12/02/2022] Open
Abstract
Crop breeding has mainly been focused on increasing productivity, either directly or by decreasing the losses caused by biotic and abiotic stresses (that is, incorporating resistance to diseases and enhancing tolerance to adverse conditions, respectively). Quite the opposite, little attention has been paid to improve the nutritional value of crops. It has not been until recently that crop biofortification has become an objective within breeding programs, through either conventional methods or genetic engineering. There are many steps along this long path, from the initial evaluation of germplasm for the content of nutrients and health-promoting compounds to the development of biofortified varieties, with the available and future genomic tools assisting scientists and breeders in reaching their objectives as well as speeding up the process. This review offers a compendium of the genomic technologies used to explore and create biodiversity, to associate the traits of interest to the genome, and to transfer the genomic regions responsible for the desirable characteristics into potential new varieties. Finally, a glimpse of future perspectives and challenges in this emerging area is offered by taking the present scenario and the slow progress of the regulatory framework as the starting point.
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Affiliation(s)
- Inés Medina-Lozano
- Departamento de Ciencia Vegetal, Centro de Investigación y Tecnología Agroalimentaria de Aragón (CITA), Universidad de Zaragoza, Avda. Montañana 930, 50059 Zaragoza, Spain;
- Instituto Agroalimentario de Aragón—IA2, Centro de Investigación y Tecnología Agroalimentaria de Aragón (CITA), Universidad de Zaragoza, 50013 Zaragoza, Spain
| | - Aurora Díaz
- Departamento de Ciencia Vegetal, Centro de Investigación y Tecnología Agroalimentaria de Aragón (CITA), Universidad de Zaragoza, Avda. Montañana 930, 50059 Zaragoza, Spain;
- Instituto Agroalimentario de Aragón—IA2, Centro de Investigación y Tecnología Agroalimentaria de Aragón (CITA), Universidad de Zaragoza, 50013 Zaragoza, Spain
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Shen G, Hu W, Wang X, Zhou X, Han Z, Sherif A, Ayaad M, Xing Y. Assembly of yield heterosis of an elite rice hybrid is promising by manipulating dominant quantitative trait loci. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2022; 64:688-701. [PMID: 34995015 DOI: 10.1111/jipb.13220] [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: 09/23/2021] [Accepted: 01/04/2022] [Indexed: 05/27/2023]
Abstract
In the past, rice hybrids with strong heterosis have been obtained empirically, by developing and testing thousands of combinations. Here, we aimed to determine whether heterosis of an elite hybrid could be achieved by manipulating major quantitative trait loci. We used 202 chromosome segment substitution lines from the elite hybrid Shanyou 63 to evaluate single segment heterosis (SSH) of yield per plant and identify heterotic loci. All nine detected heterotic loci acted in a dominant fashion, and no SSH exhibited overdominance. Functional alleles of key yield-related genes Ghd7, Ghd7.1, Hd1, and GS3 were dispersed in both parents. No functional alleles of three investigated genes were expressed at higher levels in the hybrids than in the more desirable parents. A hybrid pyramiding eight heterotic loci in the female parent Zhenshan 97 background had a comparable yield to Shanyou 63 and much higher yield than Zhenshan 97. Five hybrids pyramiding eight or nine heterotic loci in the combined parental genome background showed similar yield performance to that of Shanyou 63. These results suggest that dominance underlying functional complementation is an important contributor to yield heterosis and that heterosis assembly might be successfully promised by manipulating several major dominant heterotic loci.
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Affiliation(s)
- Guojing Shen
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
| | - Wei Hu
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
| | - Xianmeng Wang
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Hongshan Laboratory, Wuhan, 430070, China
| | - Xiangchun Zhou
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Hongshan Laboratory, Wuhan, 430070, China
| | - Zhongming Han
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
| | - Ahmed Sherif
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Hongshan Laboratory, Wuhan, 430070, China
| | - Mohammed Ayaad
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
- Plant Research Department, Nuclear Research Center, Atomic Energy Authority, Abo-Zaabal, 13759, Egypt
| | - Yongzhong Xing
- National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Hongshan Laboratory, Wuhan, 430070, China
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15
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Tao Y, Mohi Ud Din A, An L, Chen H, Li G, Ding Y, Liu Z. Metabolic Disturbance Induced by the Embryo Contributes to the Formation of Chalky Endosperm of a Notched-Belly Rice Mutant. FRONTIERS IN PLANT SCIENCE 2022; 12:760597. [PMID: 35069619 PMCID: PMC8767064 DOI: 10.3389/fpls.2021.760597] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 12/07/2021] [Indexed: 06/14/2023]
Abstract
Grain chalkiness is a key quality trait of the rice grain, whereas its underlying mechanism is still not thoroughly understood because of the complex genetic and environmental interactions. We identified a notched-belly (NB) mutant that has a notched-line on the belly of grains. The line dissects the endosperm into two distinct parts, the upper translucent part, and the bottom chalky part in the vicinity of the embryo. Using this mutant, our previous studies clued the negative influence of embryo on the biochemical makeup of the endosperm, suggesting the need for the in-depth study of the embryo effect on the metabolome of developing endosperm. This study continued to use the NB mutant to evolve a novel comparison method to clarify the role of embryo in the formation of a chalky endosperm. Grain samples of the wild-type (WT) and NB were harvested at 10, 20, and 30 days after fertilization (DAF), and then divided into subsamples of the embryo, the upper endosperm, and the bottom endosperm. Using non-targeted metabolomics and whole-genome RNA sequencing (RNA-seq), a nearly complete catalog of expressed metabolites and genes was generated. Results showed that the embryo impaired the storage of sucrose, amino acid, starch, and storage proteins in the bottom endosperm of NB by enhancing the expression of sugar, amino acids, and peptide transporters, and declining the expression of starch, prolamin, and glutelin synthesis-related genes. Importantly, the competitive advantage of the developing embryo in extracting the nutrients from the endosperm, transformed the bottom endosperm into an "exhaustive source" by diverting the carbon (C) and nitrogen (N) metabolism from synthetic storage to secondary pathways, resulting in impaired filling of the bottom endosperm and subsequently the formation of chalky tissue. In summary, this study reveals that embryo-induced metabolic shift in the endosperm is associated with the occurrence of grain chalkiness, which is of relevance to the development of high-quality rice by balancing the embryo-endosperm interaction.
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Affiliation(s)
- Yang Tao
- College of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - Atta Mohi Ud Din
- College of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - Lu An
- College of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - Hao Chen
- College of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - Ganghua Li
- College of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - Yanfeng Ding
- College of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - Zhenghui Liu
- College of Agriculture, Nanjing Agricultural University, Nanjing, China
- Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, China
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16
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Kong W, Jiang M, Wang Y, Chen S, Zhang S, Lei W, Chai K, Wang P, Liu R, Zhang X. Pan-transcriptome assembly combined with multiple association analysis provides new insights into the regulatory network of specialized metabolites in the tea plant Camellia sinensis. HORTICULTURE RESEARCH 2022; 9:uhac100. [PMID: 35795389 PMCID: PMC9251601 DOI: 10.1093/hr/uhac100] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 04/15/2022] [Indexed: 05/07/2023]
Abstract
Specialized metabolites not only play important roles in biotic and abiotic stress adaptation of tea plants (Camellia sinensis (L.) O. Kuntze) but also contribute to the unique flavor of tea, the most important nonalcoholic beverage. However, the molecular networks and major genes that regulate specialized metabolites in tea plants are not well understood. Here, we constructed a population-level pan-transcriptome of the tea plant leaf using second-leaf transcriptome data from 134 accessions to investigate global expression differences in the population, expression presence or absence variations (ePAVs), and differentially expressed genes (DEGs) between pure Camellia sinensis var. assamica (CSA) and pure Camellia sinensis var. sinensis (CSS) accessions. Next, we used a genome-wide association study, a quantitative trait transcript study, and a transcriptome-wide association study to integrate genotypes, accumulation levels of specialized metabolites, and expression levels of pan-transcriptome genes to identify candidate regulatory genes for flavor-related metabolites and to construct a regulatory network for specialized metabolites in tea plants. The pan-transcriptome contains 30 482 expressed genes, 4940 and 5506 of which were newly annotated from a de novo transcriptome assembly without a reference and a genome reference-based assembly, respectively. DEGs and ePAVs indicated that CSA and CSS were clearly differentiated at the population transcriptome level, and they were closely related to abiotic tolerance and secondary metabolite synthesis phenotypes of CSA and CSS based on gene annotations. The regulatory network contained 212 specialized metabolites, 3843 candidate genes, and 3407 eQTLs, highlighting many pleiotropic candidate genes, candidate gene-rich eQTLs, and potential regulators of specialized metabolites. These included important transcription factors in the AP2/ERF-ERF, MYB, WD40, and bHLH families. CsTGY14G0001296, an ortholog of AtANS, appeared to be directly related to variation in proanthocyanins in the tea plant population, and the CsTGY11G0002074 gene encoding F3'5'H was found to contribute to the biased distribution of catechins between pure CSAs and pure CSSs. Together, these results provide a new understanding of the metabolite diversity in tea plants and offer new insights for more effective breeding of better-flavored tea varieties.
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Affiliation(s)
- Weilong Kong
- 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 518120, China
| | - Mengwei Jiang
- Center for Genomics and Biotechnology, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Yibin Wang
- 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 518120, China
| | - Shuai Chen
- 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 518120, China
| | - Shengcheng Zhang
- 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 518120, China
| | - Wenlong Lei
- Center for Genomics and Biotechnology, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Kun Chai
- Center for Genomics and Biotechnology, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Pengjie Wang
- 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 518120, China
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Plant metabolism paves the way for breeding crops with high nutritional value and stable yield. SCIENCE CHINA. LIFE SCIENCES 2021; 64:2202-2205. [PMID: 34536206 DOI: 10.1007/s11427-021-2004-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Accepted: 08/26/2021] [Indexed: 10/20/2022]
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18
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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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Metabolomics for Crop Breeding: General Considerations. Genes (Basel) 2021; 12:genes12101602. [PMID: 34680996 PMCID: PMC8535592 DOI: 10.3390/genes12101602] [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: 08/13/2021] [Revised: 10/05/2021] [Accepted: 10/08/2021] [Indexed: 12/16/2022] Open
Abstract
The development of new, more productive varieties of agricultural crops is becoming an increasingly difficult task. Modern approaches for the identification of beneficial alleles and their use in elite cultivars, such as quantitative trait loci (QTL) mapping and marker-assisted selection (MAS), are effective but insufficient for keeping pace with the improvement of wheat or other crops. Metabolomics is a powerful but underutilized approach that can assist crop breeding. In this review, basic methodological information is summarized, and the current strategies of applications of metabolomics related to crop breeding are explored using recent examples. We briefly describe classes of plant metabolites, cellular localization of metabolic pathways, and the strengths and weaknesses of the main metabolomics technique. Among the commercialized genetically modified crops, about 50 with altered metabolic enzyme activities have been identified in the International Service for the Acquisition of Agri-biotech Applications (ISAAA) database. These plants are reviewed as encouraging examples of the application of knowledge of biochemical pathways. Based on the recent examples of metabolomic studies, we discuss the performance of metabolic markers, the integration of metabolic and genomic data in metabolic QTLs (mQTLs) and metabolic genome-wide association studies (mGWAS). The elucidation of metabolic pathways and involved genes will help in crop breeding and the introgression of alleles of wild relatives in a more targeted manner.
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Qadri S, Aslam T, Nawaz SA, Saher N, Razzaq A, Ur Rehman M, Ahmad N, Shahzad F, Furqan Qadri S. Machine Vision Approach for Classification of Rice Varieties Using Texture Features. INTERNATIONAL JOURNAL OF FOOD PROPERTIES 2021. [DOI: 10.1080/10942912.2021.1986523] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Affiliation(s)
- Salman Qadri
- Department of Computer Science, Muhammad Nawaz Shareef University of Agriculture Multan (Mns-uam), Multan Punjab, Pakistan
| | - Tanveer Aslam
- Department of Information Technology, Islamia University of Bahawalpur, Bahawalpur Punjab, Pakistan
| | - Syed Ali Nawaz
- Department of Information Technology, Islamia University of Bahawalpur, Bahawalpur Punjab, Pakistan
| | - Najia Saher
- Department of Information Technology, Islamia University of Bahawalpur, Bahawalpur Punjab, Pakistan
| | - Abdul- Razzaq
- Department of Computer Science, Muhammad Nawaz Shareef University of Agriculture Multan (Mns-uam), Multan Punjab, Pakistan
| | - Muzammil Ur Rehman
- Department of Information Technology, Islamia University of Bahawalpur, Bahawalpur Punjab, Pakistan
| | - Nazir Ahmad
- Department of Information Technology, Islamia University of Bahawalpur, Bahawalpur Punjab, Pakistan
| | - Faisal Shahzad
- Department of Information Technology, Islamia University of Bahawalpur, Bahawalpur Punjab, Pakistan
| | - Syed Furqan Qadri
- Computer Vision Institute, College of Computer Science & Software Engineering, Shenzhen University China
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Lam PY, Lui ACW, Wang L, Liu H, Umezawa T, Tobimatsu Y, Lo C. Tricin Biosynthesis and Bioengineering. FRONTIERS IN PLANT SCIENCE 2021; 12:733198. [PMID: 34512707 PMCID: PMC8426635 DOI: 10.3389/fpls.2021.733198] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 07/28/2021] [Indexed: 05/23/2023]
Abstract
Tricin (3',5'-dimethoxyflavone) is a specialized metabolite which not only confers stress tolerance and involves in defense responses in plants but also represents a promising nutraceutical. Tricin-type metabolites are widely present as soluble tricin O-glycosides and tricin-oligolignols in all grass species examined, but only show patchy occurrences in unrelated lineages in dicots. More strikingly, tricin is a lignin monomer in grasses and several other angiosperm species, representing one of the "non-monolignol" lignin monomers identified in nature. The unique biological functions of tricin especially as a lignin monomer have driven the identification and characterization of tricin biosynthetic enzymes in the past decade. This review summarizes the current understanding of tricin biosynthetic pathway in grasses and tricin-accumulating dicots. The characterized and potential enzymes involved in tricin biosynthesis are highlighted along with discussion on the debatable and uncharacterized steps. Finally, current developments of bioengineering on manipulating tricin biosynthesis toward the generation of functional food as well as modifications of lignin for improving biorefinery applications are summarized.
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Affiliation(s)
- Pui Ying Lam
- Research Institute for Sustainable Humanosphere, Kyoto University, Kyoto, Japan
| | - Andy C. W. Lui
- School of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong, China
| | - Lanxiang Wang
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Hongjia Liu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Toshiaki Umezawa
- Research Institute for Sustainable Humanosphere, Kyoto University, Kyoto, Japan
| | - Yuki Tobimatsu
- Research Institute for Sustainable Humanosphere, Kyoto University, Kyoto, Japan
| | - Clive Lo
- School of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong, China
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Qi J, Li K, Shi Y, Li Y, Dong L, Liu L, Li M, Ren H, Liu X, Fang C, Luo J. Cross-Species Comparison of Metabolomics to Decipher the Metabolic Diversity in Ten Fruits. Metabolites 2021; 11:metabo11030164. [PMID: 33809004 PMCID: PMC8000971 DOI: 10.3390/metabo11030164] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Revised: 03/08/2021] [Accepted: 03/09/2021] [Indexed: 12/14/2022] Open
Abstract
Fruits provide humans with multiple kinds of nutrients and protect humans against worldwide nutritional deficiency. Therefore, it is essential to understand the nutrient composition of various fruits in depth. In this study, we performed LC-MS-based non-targeted metabolomic analyses with ten kinds of fruit, including passion fruit, mango, starfruit, mangosteen, guava, mandarin orange, grape, apple, blueberry, and strawberry. In total, we detected over 2500 compounds and identified more than 300 nutrients. Although the ten fruits shared 909 common-detected compounds, each species accumulated a variety of species-specific metabolites. Additionally, metabolic profiling analyses revealed a constant variation in each metabolite’s content across the ten fruits. Moreover, we constructed a neighbor-joining tree using metabolomic data, which resembles the single-copy protein-based phylogenetic tree. This indicates that metabolome data could reflect the genetic relationship between different species. In conclusion, our work enriches knowledge on the metabolomics of fruits, and provides metabolic evidence for the genetic relationships among these fruits.
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Affiliation(s)
- Jinwei Qi
- School of Horticulture, Hainan University, Haikou 570288, China;
| | - Kang Li
- School of Tropical Crops, Hainan University, Haikou 570288, China; (K.L.); (Y.S.); (L.L.); (M.L.); (X.L.)
| | - Yunxia Shi
- School of Tropical Crops, Hainan University, Haikou 570288, China; (K.L.); (Y.S.); (L.L.); (M.L.); (X.L.)
| | - Yufei Li
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China;
| | - Long Dong
- Horticultural Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, China; (L.D.); (H.R.)
| | - Ling Liu
- School of Tropical Crops, Hainan University, Haikou 570288, China; (K.L.); (Y.S.); (L.L.); (M.L.); (X.L.)
| | - Mingyang Li
- School of Tropical Crops, Hainan University, Haikou 570288, China; (K.L.); (Y.S.); (L.L.); (M.L.); (X.L.)
| | - Hui Ren
- Horticultural Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, China; (L.D.); (H.R.)
| | - Xianqing Liu
- School of Tropical Crops, Hainan University, Haikou 570288, China; (K.L.); (Y.S.); (L.L.); (M.L.); (X.L.)
| | - Chuanying Fang
- School of Tropical Crops, Hainan University, Haikou 570288, China; (K.L.); (Y.S.); (L.L.); (M.L.); (X.L.)
- Correspondence: (C.F.); (J.L.)
| | - Jie Luo
- School of Tropical Crops, Hainan University, Haikou 570288, China; (K.L.); (Y.S.); (L.L.); (M.L.); (X.L.)
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China;
- Correspondence: (C.F.); (J.L.)
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23
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Zhou X, Liu L, Li Y, Li K, Liu X, Zhou J, Yang C, Liu X, Fang C, Luo J. Integrative Metabolomic and Transcriptomic Analyses Reveal Metabolic Changes and Its Molecular Basis in Rice Mutants of the Strigolactone Pathway. Metabolites 2020; 10:metabo10110425. [PMID: 33114491 PMCID: PMC7693813 DOI: 10.3390/metabo10110425] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 10/21/2020] [Accepted: 10/23/2020] [Indexed: 11/24/2022] Open
Abstract
Plants have evolved many metabolites to meet the demands of growth and adaptation. Although strigolactones (SLs) play vital roles in controlling plant architecture, their function in regulating plant metabolism remains elusive. Here we report the integrative metabolomic and transcriptomic analyses of two rice SL mutants, d10 (a biosynthesis mutant) and d14 (a perception mutant). Both mutants displayed a series of metabolic and transcriptional alterations, especially in the lipid, flavonoid, and terpenoid pathways. Levels of several diterpenoid phytoalexins were substantially increased in d10 and d14, together with the induction of terpenoid gene cluster and the corresponding upstream transcription factor WRKY45, an established determinant of plant immunity. The fact that WRKY45 is a target of IPA1, which acted as a downstream transcription factor of SL signaling, suggests that SLs contribute to plant defense through WRKY45 and phytoalexins. Moreover, our data indicated that SLs may modulate rice metabolism through a vast number of clustered or tandemly duplicated genes. Our work revealed a central role of SLs in rice metabolism. Meanwhile, integrative analysis of the metabolome and transcriptome also suggested that SLs may contribute to metabolite-associated growth and defense.
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Affiliation(s)
- Xiujuan Zhou
- College of Tropical Crops, Hainan University, Haikou, Hainan 570288, China; (X.Z.); (L.L.); (K.L.); (X.L.); (J.Z.); (X.L.)
| | - Ling Liu
- College of Tropical Crops, Hainan University, Haikou, Hainan 570288, China; (X.Z.); (L.L.); (K.L.); (X.L.); (J.Z.); (X.L.)
| | - Yufei Li
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China; (Y.L.); (C.Y.)
| | - Kang Li
- College of Tropical Crops, Hainan University, Haikou, Hainan 570288, China; (X.Z.); (L.L.); (K.L.); (X.L.); (J.Z.); (X.L.)
| | - Xiaoli Liu
- College of Tropical Crops, Hainan University, Haikou, Hainan 570288, China; (X.Z.); (L.L.); (K.L.); (X.L.); (J.Z.); (X.L.)
| | - Junjie Zhou
- College of Tropical Crops, Hainan University, Haikou, Hainan 570288, China; (X.Z.); (L.L.); (K.L.); (X.L.); (J.Z.); (X.L.)
| | - Chenkun Yang
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China; (Y.L.); (C.Y.)
| | - Xianqing Liu
- College of Tropical Crops, Hainan University, Haikou, Hainan 570288, China; (X.Z.); (L.L.); (K.L.); (X.L.); (J.Z.); (X.L.)
| | - Chuanying Fang
- College of Tropical Crops, Hainan University, Haikou, Hainan 570288, China; (X.Z.); (L.L.); (K.L.); (X.L.); (J.Z.); (X.L.)
- Correspondence: (C.F.); (J.L.)
| | - Jie Luo
- College of Tropical Crops, Hainan University, Haikou, Hainan 570288, China; (X.Z.); (L.L.); (K.L.); (X.L.); (J.Z.); (X.L.)
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan 430070, China; (Y.L.); (C.Y.)
- Correspondence: (C.F.); (J.L.)
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24
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Liu JY, Li P, Zhang YW, Zuo JF, Li G, Han X, Dunwell JM, Zhang YM. Three-dimensional genetic networks among seed oil-related traits, metabolites and genes reveal the genetic foundations of oil synthesis in soybean. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2020; 103:1103-1124. [PMID: 32344462 DOI: 10.1111/tpj.14788] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Accepted: 04/21/2020] [Indexed: 05/11/2023]
Abstract
Although the biochemical and genetic basis of lipid metabolism is clear in Arabidopsis, there is limited information concerning the relevant genes in Glycine max (soybean). To address this issue, we constructed three-dimensional genetic networks using six seed oil-related traits, 52 lipid metabolism-related metabolites and 54 294 SNPs in 286 soybean accessions in total. As a result, 284 and 279 candidate genes were found to be significantly associated with seed oil-related traits and metabolites by phenotypic and metabolic genome-wide association studies and multi-omics analyses, respectively. Using minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD) analyses, six seed oil-related traits were found to be significantly related to 31 metabolites. Among the above candidate genes, 36 genes were found to be associated with oil synthesis (27 genes), amino acid synthesis (four genes) and the tricarboxylic acid (TCA) cycle (five genes), and four genes (GmFATB1a, GmPDAT, GmPLDα1 and GmDAGAT1) are already known to be related to oil synthesis. Using this information, 133 three-dimensional genetic networks were constructed, 24 of which are known, e.g. pyruvate-GmPDAT-GmFATA2-oil content. Using these networks, GmPDAT, GmAGT and GmACP4 reveal the genetic relationships between pyruvate and the three major nutrients, and GmPDAT, GmZF351 and GmPgs1 reveal the genetic relationships between amino acids and seed oil content. In addition, GmCds1, along with average temperature in July and the rainfall from June to September, influence seed oil content across years. This study provides a new approach for the construction of three-dimensional genetic networks and reveals new information for soybean seed oil improvement and the identification of gene function.
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Affiliation(s)
- Jin-Yang Liu
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
- Crop Information Center, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Pei Li
- Crop Information Center, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Ya-Wen Zhang
- Crop Information Center, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Jian-Fang Zuo
- Crop Information Center, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Guo Li
- Crop Information Center, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Xu Han
- Crop Information Center, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Jim M Dunwell
- School of Agriculture, Policy and Development, University of Reading, Reading, RG6 6AR, UK
| | - Yuan-Ming Zhang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
- Crop Information Center, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
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