1
|
Song Q, Chen Y, Shao Y, Pu W, Ye B, Shi X, Shen J, Li H. Investigation of the Functional Components in Health Beverages Made from Polygonatum cyrtonema Rhizomes Provides Primary Evidence to Support Their Claimed Health Benefits. Metabolites 2024; 14:376. [PMID: 39057699 PMCID: PMC11279242 DOI: 10.3390/metabo14070376] [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: 06/07/2024] [Revised: 06/21/2024] [Accepted: 07/01/2024] [Indexed: 07/28/2024] Open
Abstract
This study aims to understand the functional component compositions of traditional herbal health beverages made from Polygonatum cyrtonema rhizomes and to reveal the pharmacodynamic chemical basis for their claimed health benefits. Two traditional methods, rhizome decoction and rhizome infusion, were used to make health herbal beverages, including "Huangjin" tea and "Huangjin" wine, respectively. The secondary metabolites of "Huangjin" beverages were investigated and compared by widely targeted metabolomics. The results clearly showed that the major functional components in "Huangjin" beverages were phenolic acids, flavonoids, and alkaloids. The "Huangjin" wine has a greater variety of flavonoids and alkaloids than "Huangjin" tea, and the functional components in "Huangjin" wine were more abundant than those in "Huangjin" tea. Homoisoflavones and amide alkaloids were the dominating flavonoids and alkaloids in "Huangjin" wine, respectively. Continuous rhizome infusion could not increase the content of functional components in "Huangjin" wine. In conclusion, this study not only provides primary evidence to support the claimed health benefits of "Huangjin" beverages but also suggests that making traditional herbal beverages by rhizome infusion has superior health benefits than making them by rhizome decoction, which is attributed to the higher yields of functional components extracted by Chinese liquor than hot water. Therefore, Chinese liquor shows advantages in its use as a superior binary ethanol-water solvent in making herbal health beverages to enhance the solubility of poorly water-soluble functional components.
Collapse
Affiliation(s)
- Qiyan Song
- Zhejiang Academy of Forestry, Hangzhou 310023, China; (Q.S.)
| | - Youwu Chen
- Zhejiang Academy of Forestry, Hangzhou 310023, China; (Q.S.)
| | - Ye Shao
- School of Forestry and Biotechnology, Zhejiang Agriculture and Forestry University, Hangzhou 311300, China
| | - Weiting Pu
- School of Forestry and Biotechnology, Zhejiang Agriculture and Forestry University, Hangzhou 311300, China
| | - Bihuan Ye
- Zhejiang Academy of Forestry, Hangzhou 310023, China; (Q.S.)
| | - Xiaoxiao Shi
- Zhejiang Academy of Forestry, Hangzhou 310023, China; (Q.S.)
| | - Jianjun Shen
- Zhejiang Academy of Forestry, Hangzhou 310023, China; (Q.S.)
| | - Haibo Li
- Zhejiang Academy of Forestry, Hangzhou 310023, China; (Q.S.)
| |
Collapse
|
2
|
Singh S, Praveen A, Dudha N, Bhadrecha P. Integrating physiological and multi-omics methods to elucidate heat stress tolerance for sustainable rice production. PHYSIOLOGY AND MOLECULAR BIOLOGY OF PLANTS : AN INTERNATIONAL JOURNAL OF FUNCTIONAL PLANT BIOLOGY 2024; 30:1185-1208. [PMID: 39100874 PMCID: PMC11291831 DOI: 10.1007/s12298-024-01480-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 06/20/2024] [Accepted: 06/25/2024] [Indexed: 08/06/2024]
Abstract
Heat stress presents unique challenges compared to other environmental stressors, as predicting crop responses and understanding the mechanisms for heat tolerance are complex tasks. The escalating impact of devastating climate changes heightens the frequency and intensity of heat stresses, posing a noteworthy threat to global agricultural productivity, especially in rice-dependent regions of the developing world. Humidity has been demonstrated to negatively affect rice yields worldwide. Plants have evolved intricate biochemical adaptations, involving intricate interactions among genes, proteins, and metabolites, to counter diverse external signals and ensure their survival. Modern-omics technologies, encompassing transcriptomics, metabolomics, and proteomics, have revolutionized our comprehension of the intricate biochemical and cellular shifts that occur in stressed agricultural plants. Integrating these multi-omics approaches offers a comprehensive view of cellular responses to heat stress and other challenges, surpassing the insights gained from multi-omics analyses. This integration becomes vital in developing heat-tolerant crop varieties, which is crucial in the face of increasingly unpredictable weather patterns. To expedite the development of heat-resistant rice varieties, aiming at sustainability in terms of food production and food security globally, this review consolidates the latest peer-reviewed research highlighting the application of multi-omics strategies.
Collapse
Affiliation(s)
- Shilpy Singh
- Department of Biotechnology and Microbiology, School of Sciences, Noida International University, Gautam Budh Nagar, U.P. 203201 India
| | - Afsana Praveen
- National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi, 110067 India
| | - Namrata Dudha
- Department of Biotechnology and Microbiology, School of Sciences, Noida International University, Gautam Budh Nagar, U.P. 203201 India
| | - Pooja Bhadrecha
- University Institute of Biotechnology, Chandigarh University, Mohali, Punjab India
| |
Collapse
|
3
|
Zhou D, Jing H, Yuan J, Zhou M, Liu L, Fu J, Ouyang L, Xu J, Bian J, Fu H, He H. Non-targeted GC-MS metabolomics-based differences in Indica rice seeds of different varieties. BMC PLANT BIOLOGY 2024; 24:519. [PMID: 38851682 PMCID: PMC11162567 DOI: 10.1186/s12870-024-05255-6] [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: 03/24/2024] [Accepted: 06/05/2024] [Indexed: 06/10/2024]
Abstract
Rice seeds of different varieties exhibited distinct metabolic profiles in our study. We analyzed the metabolites in seeds of six rice varieties (CH, HM, NX, YX, HY, and MX) using non-targeted GC-MS. Our findings revealed that amino acids, sugars, and organic acids were predominant in all varieties, with significant differences observed in CH compared to the others. Specifically phenylalanine and glycine content differed notably in NX and YX, respectively. Additionally, 1,5-anhydroglucitol content in NX, and glutamate, aspartate, and lactulose in NX, YX, HM, HY, and MX were up-regulated. Due to the biological functions of these amino acids and sugars, these indicated that compared to CH, rice of NX were more conducive to metabolism of carbohydrate and fat, and healthy growth maintenance in the human body, but mightThese variations suggest that NX rice may be more beneficial for carbohydrate and fat metabolism and overall health maintenance compared to CH. However, it may not be suitable for diabetic patients. YX rice may not be an ideal glycine supplement, rice ofwhile HM, HY, and MX rice could serve as potential lactulose sources. Furthermore, NX and YX rice exhibited higher levels of main storage proteins compared to CH. This study offers valuable insights into the metabolic differences among various rice varieties.
Collapse
Affiliation(s)
- Dahu Zhou
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, College of Agronomy, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Hao Jing
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, College of Agronomy, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Jun Yuan
- School of Nursing, Jiangxi University of Chinese Medicine, Nanchang, 330004, China
| | - Mingming Zhou
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, College of Agronomy, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Lin Liu
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, College of Agronomy, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Junru Fu
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, College of Agronomy, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Linjuan Ouyang
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, College of Agronomy, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Jie Xu
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, College of Agronomy, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Jianmin Bian
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, College of Agronomy, Jiangxi Agricultural University, Nanchang, 330045, China
| | - Haihui Fu
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, College of Agronomy, Jiangxi Agricultural University, Nanchang, 330045, China.
| | - Haohua He
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, College of Agronomy, Jiangxi Agricultural University, Nanchang, 330045, China.
| |
Collapse
|
4
|
Haider A, Iqbal SZ, Bhatti IA, Alim MB, Waseem M, Iqbal M, Mousavi Khaneghah A. Food authentication, current issues, analytical techniques, and future challenges: A comprehensive review. Compr Rev Food Sci Food Saf 2024; 23:e13360. [PMID: 38741454 DOI: 10.1111/1541-4337.13360] [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: 02/05/2024] [Revised: 03/29/2024] [Accepted: 04/16/2024] [Indexed: 05/16/2024]
Abstract
Food authentication and contamination are significant concerns, especially for consumers with unique nutritional, cultural, lifestyle, and religious needs. Food authenticity involves identifying food contamination for many purposes, such as adherence to religious beliefs, safeguarding health, and consuming sanitary and organic food products. This review article examines the issues related to food authentication and food fraud in recent periods. Furthermore, the development and innovations in analytical techniques employed to authenticate various food products are comprehensively focused. Food products derived from animals are susceptible to deceptive practices, which can undermine customer confidence and pose potential health hazards due to the transmission of diseases from animals to humans. Therefore, it is necessary to employ suitable and robust analytical techniques for complex and high-risk animal-derived goods, in which molecular biomarker-based (genomics, proteomics, and metabolomics) techniques are covered. Various analytical methods have been employed to ascertain the geographical provenance of food items that exhibit rapid response times, low cost, nondestructiveness, and condensability.
Collapse
Affiliation(s)
- Ali Haider
- Food Safety and Toxicology Lab, Department of Applied Chemistry, Government College University, Faisalabad, Punjab, Pakistan
| | - Shahzad Zafar Iqbal
- Food Safety and Toxicology Lab, Department of Applied Chemistry, Government College University, Faisalabad, Punjab, Pakistan
| | - Ijaz Ahmad Bhatti
- Department of Chemistry, University of Agriculture, Faisalabad, Pakistan
| | | | - Muhammad Waseem
- Food Safety and Toxicology Lab, Department of Applied Chemistry, Government College University, Faisalabad, Punjab, Pakistan
| | - Munawar Iqbal
- Department of Chemistry, Division of Science and Technology, University of Education, Lahore, Pakistan
| | | |
Collapse
|
5
|
Wilkinson C, Brooks J, Stander MA, Malgas R, Roodt-Wilding R, Makunga NP. Metabolomic profiling of wild rooibos (Aspalathus linearis) ecotypes and their antioxidant-derived phytopharmaceutical potential. Metabolomics 2024; 20:45. [PMID: 38615312 PMCID: PMC11016507 DOI: 10.1007/s11306-024-02103-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 02/16/2024] [Indexed: 04/15/2024]
Abstract
INTRODUCTION Aspalathus linearis (commonly known as rooibos) is endemic to the Cape Floristic Region of South Africa and is a popular herbal drink and skin phytotherapeutic ingredient, with health benefits derived primarily from its unique phenolic content. Several, seemingly habitat-specific ecotypes from the Cederberg (Western Cape) and Northern Cape have morphological, ecological, genetic and biochemical differences. OBJECTIVES AND METHODS Despite the commercial popularity of the cultivated variety, the uncultivated ecotypes are largely understudied. To address gaps in knowledge about the biochemical constituency, ultra-performance liquid chromatography-mass spectrometry analysis of fifteen populations was performed, enabling high-throughput metabolomic fingerprinting of 50% (v/v) methanolic extracts. Antioxidant screening of selected populations was performed via three assays and antimicrobial activity on two microbial species was assessed. The metabolomic results were corroborated with total phenolic and flavonoid screening of the extracts. RESULTS AND DISCUSSION Site-specific chemical lineages of rooibos ecotypes were confirmed via multivariate data analyses. Important features identified via PLS-DA disclosed higher relative abundances of certain tentative metabolites (e.g., rutin, aspalathin and apiin) present in the Dobbelaarskop, Blomfontein, Welbedacht and Eselbank sites, in comparison to other locations. Several unknown novel metabolites (e.g., m/z 155.0369, 231.0513, 443.1197, 695.2883) are responsible for metabolomic separation of the populations, four of which showed higher amounts of key metabolites and were thus selected for bioactivity analysis. The Welbedacht and Eselbank site 2 populations consistently displayed higher antioxidant activities, with 2,2-azino-bis (3-ethylbenzothiazoline-6-sulphonic acid) (ABTS) radical scavenging activities of 679.894 ± 3.427 µmol Trolox/g dry matter and 635.066 ± 5.140 µmol Trolox/g dry matter, respectively, in correlation with a high number of phenolic and flavonoid compounds. The contribution of the individual metabolites to the pharmacological effectiveness of rooibos remains unknown and as such, further structural elucidation and phytopharmacological testing is thus urgently needed.
Collapse
Affiliation(s)
- C Wilkinson
- Department of Botany and Zoology, Stellenbosch University, Private Bag X1, Matieland, 7600, South Africa
| | - J Brooks
- Department of Botany and Zoology, Stellenbosch University, Private Bag X1, Matieland, 7600, South Africa
| | - M A Stander
- Department of Biochemistry, and Mass Spectrometry Unit, Central Analytical Facility, Stellenbosch University, Private Bag X1, Matieland, 7600, South Africa
| | - R Malgas
- Department of Conservation Ecology and Entomology, Stellenbosch University, Private Bag X1, Matieland, 7600, South Africa
| | - R Roodt-Wilding
- Department of Genetics, Stellenbosch University, Private Bag X1, Matieland, 7600, South Africa
| | - N P Makunga
- Department of Botany and Zoology, Stellenbosch University, Private Bag X1, Matieland, 7600, South Africa.
| |
Collapse
|
6
|
Díaz-Galiano FJ, Murcia-Morales M, Fernández-Alba AR. From sound check to encore: A journey through high-resolution mass spectrometry-based food analyses and metabolomics. Compr Rev Food Sci Food Saf 2024; 23:e13325. [PMID: 38532695 DOI: 10.1111/1541-4337.13325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 02/29/2024] [Accepted: 02/29/2024] [Indexed: 03/28/2024]
Abstract
This manuscript presents a comprehensive review of high-resolution mass spectrometry in the field of food analysis and metabolomics. We have followed the historical evolution of metabolomics, its associated techniques and technologies, and its increasing role in food science and research. The review provides a critical comparison and synthesis of tentative identification guidelines proposed for over 15 years, offering a condensed resource for researchers in the field. We have also examined a wide range of recent metabolomics studies, showcasing various methodologies and highlighting key findings as a testimony of the versatility of the field and the possibilities it offers. In doing so, we have also carefully provided a compilation of the software tools that may be employed in this type of studies. The manuscript also explores the prospects of high-resolution mass spectrometry and metabolomics in food science. By covering the history, guidelines, applications, and tools of metabolomics, this review attempts to become a comprehensive guide for researchers in a rapidly evolving field.
Collapse
Affiliation(s)
- Francisco José Díaz-Galiano
- Department of Chemistry and Physics, Agrifood Campus of International Excellence (ceiA3), University of Almería, Almería, Spain
| | - María Murcia-Morales
- Department of Chemistry and Physics, Agrifood Campus of International Excellence (ceiA3), University of Almería, Almería, Spain
| | - Amadeo Rodríguez Fernández-Alba
- Department of Chemistry and Physics, Agrifood Campus of International Excellence (ceiA3), University of Almería, Almería, Spain
| |
Collapse
|
7
|
Chai YN, Qi Y, Goren E, Chiniquy D, Sheflin AM, Tringe SG, Prenni JE, Liu P, Schachtman DP. Root-associated bacterial communities and root metabolite composition are linked to nitrogen use efficiency in sorghum. mSystems 2024; 9:e0119023. [PMID: 38132569 PMCID: PMC10804983 DOI: 10.1128/msystems.01190-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 11/20/2023] [Indexed: 12/23/2023] Open
Abstract
The development of cereal crops with high nitrogen use efficiency (NUE) is a priority for worldwide agriculture. In addition to conventional plant breeding and genetic engineering, the use of the plant microbiome offers another approach to improving crop NUE. To gain insight into the bacterial communities associated with sorghum lines that differ in NUE, a field experiment was designed comparing 24 diverse Sorghum bicolor lines under sufficient and deficient nitrogen (N). Amplicon sequencing and untargeted gas chromatography-mass spectrometry were used to characterize the bacterial communities and the root metabolome associated with sorghum genotypes varying in sensitivity to low N. We demonstrated that N stress and sorghum type (energy, sweet, and grain sorghum) significantly impacted the root-associated bacterial communities and root metabolite composition of sorghum. We found a positive correlation between sorghum NUE and bacterial richness and diversity in the rhizosphere. The greater alpha diversity in high NUE lines was associated with the decreased abundance of a dominant bacterial taxon, Pseudomonas. Multiple strong correlations were detected between root metabolites and rhizosphere bacterial communities in response to low N stress. This indicates that the shift in the sorghum microbiome due to low N is associated with the root metabolites of the host plant. Taken together, our findings suggest that host genetic regulation of root metabolites plays a role in defining the root-associated microbiome of sorghum genotypes differing in NUE and tolerance to low N stress.IMPORTANCEThe development of crops that are more nitrogen use-efficient (NUE) is critical for the future of the enhanced sustainability of agriculture worldwide. This objective has been pursued mainly through plant breeding and plant molecular engineering, but these approaches have had only limited success. Therefore, a different strategy that leverages soil microbes needs to be fully explored because it is known that soil microbes improve plant growth through multiple mechanisms. To design approaches that use the soil microbiome to increase NUE, it will first be essential to understand the relationship among soil microbes, root metabolites, and crop productivity. Using this approach, we demonstrated that certain key metabolites and specific microbes are associated with high and low sorghum NUE in a field study. This important information provides a new path forward for developing crop genotypes that have increased NUE through the positive contribution of soil microbes.
Collapse
Affiliation(s)
- Yen Ning Chai
- Department of Agronomy and Horticulture, Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
| | - Yunhui Qi
- Department of Statistics, Iowa State University, Ames, Iowa, USA
| | - Emily Goren
- Department of Statistics, Iowa State University, Ames, Iowa, USA
| | - Dawn Chiniquy
- Environmental Genomics and System Biology, Lawrence Berkeley National Laboratory, Berkeley, California, USA
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Amy M. Sheflin
- Department of Horticulture and Landscape Architecture, Colorado State University, Colorado State University, Fort Collins, Colorado, USA
| | - Susannah G. Tringe
- Environmental Genomics and System Biology, Lawrence Berkeley National Laboratory, Berkeley, California, USA
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Jessica E. Prenni
- Department of Horticulture and Landscape Architecture, Colorado State University, Colorado State University, Fort Collins, Colorado, USA
| | - Peng Liu
- Department of Statistics, Iowa State University, Ames, Iowa, USA
| | - Daniel P. Schachtman
- Department of Agronomy and Horticulture, Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
| |
Collapse
|
8
|
Kumari P, Deepa N, Trivedi PK, Singh BK, Srivastava V, Singh A. Plants and endophytes interaction: a "secret wedlock" for sustainable biosynthesis of pharmaceutically important secondary metabolites. Microb Cell Fact 2023; 22:226. [PMID: 37925404 PMCID: PMC10625306 DOI: 10.1186/s12934-023-02234-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 10/19/2023] [Indexed: 11/06/2023] Open
Abstract
Many plants possess immense pharmacological properties because of the presence of various therapeutic bioactive secondary metabolites that are of great importance in many pharmaceutical industries. Therefore, to strike a balance between meeting industry demands and conserving natural habitats, medicinal plants are being cultivated on a large scale. However, to enhance the yield and simultaneously manage the various pest infestations, agrochemicals are being routinely used that have a detrimental impact on the whole ecosystem, ranging from biodiversity loss to water pollution, soil degradation, nutrient imbalance and enormous health hazards to both consumers and agricultural workers. To address the challenges, biological eco-friendly alternatives are being looked upon with high hopes where endophytes pitch in as key players due to their tight association with the host plants. The intricate interplay between plants and endophytic microorganisms has emerged as a captivating subject of scientific investigation, with profound implications for the sustainable biosynthesis of pharmaceutically important secondary metabolites. This review delves into the hidden world of the "secret wedlock" between plants and endophytes, elucidating their multifaceted interactions that underpin the synthesis of bioactive compounds with medicinal significance in their plant hosts. Here, we briefly review endophytic diversity association with medicinal plants and highlight the potential role of core endomicrobiome. We also propose that successful implementation of in situ microbiome manipulation through high-end techniques can pave the way towards a more sustainable and pharmaceutically enriched future.
Collapse
Affiliation(s)
- Poonam Kumari
- Division of Crop Production and Protection, Central Institute of Medicinal and Aromatic Plants, Lucknow, 226015, India
| | - Nikky Deepa
- Division of Crop Production and Protection, Central Institute of Medicinal and Aromatic Plants, Lucknow, 226015, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Prabodh Kumar Trivedi
- Division of Plant Biotechnology, Central Institute of Medicinal and Aromatic Plants, Lucknow, 226015, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Brajesh K Singh
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, 2753, Australia
- Global Centre for Land-Based Innovation, Western Sydney University, Penrith, NSW, 2751, Australia
| | - Vaibhav Srivastava
- Division of Glycoscience, Department of Chemistry, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, AlbaNova University Center, 106 91, Stockholm, Sweden.
| | - Akanksha Singh
- Division of Crop Production and Protection, Central Institute of Medicinal and Aromatic Plants, Lucknow, 226015, India.
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.
| |
Collapse
|
9
|
Su ZH, Lv JL, Ou Q, Zhao ZQ, Zheng KY, Zhang XY, Lai WQ, Wang XY, Deng MJ, Li MW. Uric acid metabolism promotes apoptosis against Bombyx mori nucleopolyhedrovirus in silkworm, Bombyx mori. INSECT MOLECULAR BIOLOGY 2023; 32:558-574. [PMID: 37209025 DOI: 10.1111/imb.12850] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Accepted: 04/29/2023] [Indexed: 05/21/2023]
Abstract
The white epidermis of silkworms is due to the accumulation of uric acid crystals. Abnormal silkworm uric acid metabolism decreases uric acid production, leading to a transparent or translucent phenotype. The oily silkworm op50 is a mutant strain with a highly transparent epidermis derived from the p50 strain. It shows more susceptibility to Bombyx mori nucleopolyhedrovirus (BmNPV) infection than the wild type; however, the underlying mechanism is unknown. This study analysed the changes in 34 metabolites in p50 and op50 at different times following BmNPV infection based on comparative metabolomics. The differential metabolites were mainly clustered in six metabolic pathways. Of these, the uric acid pathway was identified as critical for resistance in silkworms, as feeding with inosine significantly enhanced larval resistance compared to other metabolites and modulated other metabolic pathways. Additionally, the increased level of resistance to BmNPV in inosine-fed silkworms was associated with the regulation of apoptosis, which is mediated by the reactive oxygen species produced during uric acid synthesis. Furthermore, feeding the industrial strain Jingsong (JS) with inosine significantly increased the level of larval resistance to BmNPV, indicating its potential application in controlling the virus in sericulture. These results lay the foundation for clarifying the resistance mechanism of silkworms to BmNPV and provide new strategies and methods for the biological control of pests.
Collapse
Affiliation(s)
- Zhi-Hao Su
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, China
| | - Jun-Li Lv
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, China
| | - Qi Ou
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, China
| | - Zi-Qin Zhao
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, China
| | - Kai-Yi Zheng
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, China
| | - Xiao-Ying Zhang
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, China
| | - Wen-Qing Lai
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, China
| | - Xue-Yang Wang
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, China
- Key Laboratory of Silkworm and Mulberry Genetic Improvement, Ministry of Agriculture and Rural Affairs, Sericultural Research Institute, Chinese Academy of Agricultural Science, Zhenjiang, China
| | - Ming-Jie Deng
- Analytical and Testing Center, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Mu-Wang Li
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang, China
- Key Laboratory of Silkworm and Mulberry Genetic Improvement, Ministry of Agriculture and Rural Affairs, Sericultural Research Institute, Chinese Academy of Agricultural Science, Zhenjiang, China
| |
Collapse
|
10
|
Negin B, Jander G. Convergent and divergent evolution of plant chemical defenses. CURRENT OPINION IN PLANT BIOLOGY 2023; 73:102368. [PMID: 37087925 DOI: 10.1016/j.pbi.2023.102368] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 03/06/2023] [Accepted: 03/22/2023] [Indexed: 05/03/2023]
Abstract
The majority of the several hundred thousand specialized metabolites produced by plants function in defense against insects and other herbivores. Despite this diversity, identical metabolites or structurally distinct metabolites hitting the same targets in herbivorous animals have evolved repeatedly. This convergent evolution may reflect the constraints of plant primary metabolism in providing metabolic precursors, as well as the limited number of readily accessible targets in animals. These restrictions may make it uncommon for plants to develop completely novel toxic and deterrent metabolites, despite the ongoing evolution of resistance mechanisms in insect herbivores. Defensive compounds that are unique to individual genera or species often have long biosynthetic pathways that may complicate the repeated evolution of these metabolites in different plant species.
Collapse
Affiliation(s)
- Boaz Negin
- Boyce Thompson Institute, Ithaca, NY, 14853, USA
| | - Georg Jander
- Boyce Thompson Institute, Ithaca, NY, 14853, USA.
| |
Collapse
|
11
|
Feng K, Kan XY, Liu Q, Yan YJ, Sun N, Yang ZY, Zhao SP, Wu P, Li LJ. Metabolomics Analysis Reveals Metabolites and Metabolic Pathways Involved in the Growth and Quality of Water Dropwort [ Oenanthe javanica (Blume) DC.] under Nutrient Solution Culture. PLANTS (BASEL, SWITZERLAND) 2023; 12:1459. [PMID: 37050085 PMCID: PMC10097307 DOI: 10.3390/plants12071459] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Revised: 03/19/2023] [Accepted: 03/20/2023] [Indexed: 06/19/2023]
Abstract
Water dropwort (Oenanthe javanica (Blume) DC.) is an important vegetable crop. Nutrient liquid culture has become an important cultivation method in the production of water dropwort. However, the effects of different nutrient solution cultivation methods on the growth and quality of water dropwort remains unclear. In this study, to screen the most suitable nutrient solution formula for the cultivation of water dropwort, the effects of different nutrient solution formulas (Hoagland, Cooper, Dutch greenhouse, Garden-style, Yamasaki and SCAU) on plant physiological and quality characteristics are investigated. The plant height, root length, water content (%), distribution rate of dry matter (%), chlorophyll, VC, flavonoid, total phenolic, DPPH and dietary fiber of water dropwort under different nutrient solutions were determined. According to the analytic hierarchy process (AHP) of the growth index and quality index of water dropwort under different nutrient solutions, the Yamazaki nutrient solution was considered to be the most suitable nutrient solution formula for water dropwort. To further confirm the differences of water dropwort under nutrient solution culture and soil culture, the broadly targeted metabolomics were performed. A total of 485 metabolites were detected in water dropwort under optimal nutrient solution and soil cultivation. Metabolomics analysis showed that flavonoids were the most abundant differential accumulated metabolites, and most flavonoids were up-regulated. A qRT-PCR assay indicated that the structural genes of the flavonoid biosynthesis pathway (PAL, C4H, CHS, CHI, F3H, DFR, UFGT) were significantly higher under the Yamasaki nutrient solution treatment. The current study provided a theoretical basis and technical guidance for the nutrient solution cultivation of water dropwort. Meanwhile, this study provides new insights into the study of flavonoids in water dropwort.
Collapse
Affiliation(s)
- Kai Feng
- College of Horticulture and Landscape Architecture, Yangzhou University, Yangzhou 225009, China; (K.F.)
| | - Xia-Yue Kan
- College of Horticulture and Landscape Architecture, Yangzhou University, Yangzhou 225009, China; (K.F.)
| | - Qing Liu
- College of Horticulture and Landscape Architecture, Yangzhou University, Yangzhou 225009, China; (K.F.)
| | - Ya-Jie Yan
- College of Horticulture and Landscape Architecture, Yangzhou University, Yangzhou 225009, China; (K.F.)
| | - Nan Sun
- College of Horticulture and Landscape Architecture, Yangzhou University, Yangzhou 225009, China; (K.F.)
| | - Zhi-Yuan Yang
- College of Horticulture and Landscape Architecture, Yangzhou University, Yangzhou 225009, China; (K.F.)
| | - Shu-Ping Zhao
- College of Horticulture and Landscape Architecture, Yangzhou University, Yangzhou 225009, China; (K.F.)
| | - Peng Wu
- College of Horticulture and Landscape Architecture, Yangzhou University, Yangzhou 225009, China; (K.F.)
| | - Liang-Jun Li
- College of Horticulture and Landscape Architecture, Yangzhou University, Yangzhou 225009, China; (K.F.)
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China
| |
Collapse
|
12
|
Avramidou E, Sarri E, Ganopoulos I, Madesis P, Kougiteas L, Papadopoulou EA, Aliferis KA, Abraham EM, Tani E. Genetic and Metabolite Variability among Commercial Varieties and Advanced Lines of Vicia faba L. PLANTS (BASEL, SWITZERLAND) 2023; 12:908. [PMID: 36840256 PMCID: PMC9967272 DOI: 10.3390/plants12040908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 01/25/2023] [Accepted: 02/14/2023] [Indexed: 06/18/2023]
Abstract
Vicia faba L. (faba bean) is one of the most promising pulse crops due to its nutritional value and high nitrogen fixation capacity. The aim of the present study was to compare the genetic diversity and the seed metabolite profiles of five genetic materials of faba bean. Specifically, three newly developed advanced lines (KK18, KK14 and KK10) and two commercial cultivars (POLIKARPI and TANAGRA), were evaluated for this purpose. Genetic diversity among populations was assessed by SCoT molecular markers. Through UPGMA dendrogram, genetic distances between populations were estimated. Untargeted metabolomics analysis of the seeds was performed employing GC/EI/MS. The cultivar POLYKARPI exhibited the highest polymorphism. All varieties showed a higher within-cultivars and advanced lines variability than between. POLYKARPI and KK14 had the lowest genetic distances, while KK18 and TANAGRA presented the highest ones. The advanced line KK18 displayed the best nutritional profile, the highest concentration of desirable metabolites (lactic acid and trehalose), the lowest concentration of anti-nutritional factors (oxalic acid) and the lowest concentration of saturated fatty acids (palmitic and stearic acid). According to the results of the present study, KK18 line is a very promising material for further exploration and utilization in breeding programs.
Collapse
Affiliation(s)
- Eleni Avramidou
- Department of Forestry and Natural Environment, School of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
- Institute of Applied Bioscience, CERTH, Thermi, 57001 Thessaloniki, Greece
| | - Efi Sarri
- Laboratory of Plant Breeding and Biometry, Department of Crop Science, Agricultural University of Athens, Iera Odos 75, 11855 Athens, Greece
| | - Ioannis Ganopoulos
- Institute of Plant Breeding and Genetic Resources, HAO-Dimitra, Thermi, 57001 Thessaloniki, Greece
| | - Panagiotis Madesis
- Institute of Applied Bioscience, CERTH, Thermi, 57001 Thessaloniki, Greece
- School of Agricultural Sciences, Department of Agriculture Crop Production and Rural Environment, University of Thessaly, 38446 Volos, Greece
| | - Leonidas Kougiteas
- Laboratory of Plant Breeding and Biometry, Department of Crop Science, Agricultural University of Athens, Iera Odos 75, 11855 Athens, Greece
| | - Evgenia-Anna Papadopoulou
- Laboratory of Pesticide Science, Department of Crop Science, Agricultural University of Athens, 11855 Athens, Greece
| | - Konstantinos A. Aliferis
- Laboratory of Pesticide Science, Department of Crop Science, Agricultural University of Athens, 11855 Athens, Greece
- Department of Plant Science, McGill University, Macdonald Campus, Ste-Anne-de-Bellevue, QC H9X 3V9, Canada
| | - Eleni M. Abraham
- Department of Forestry and Natural Environment, School of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Eleni Tani
- Laboratory of Plant Breeding and Biometry, Department of Crop Science, Agricultural University of Athens, Iera Odos 75, 11855 Athens, Greece
| |
Collapse
|
13
|
Feussner K, Abreu IN, Klein M, Feussner I. Metabolite fingerprinting: A powerful metabolomics approach for marker identification and functional gene annotation. Methods Enzymol 2023; 680:325-350. [PMID: 36710017 DOI: 10.1016/bs.mie.2022.08.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Non-targeted metabolome approaches aim to detect metabolite markers related to stress, disease, developmental or genetic perturbation. In the later context, it is also a powerful means for functional gene annotation. A prerequisite for non-targeted metabolome analyses are methods for comprehensive metabolite extraction. We present three extraction protocols for a highly efficient extraction of metabolites from plant material with a very broad metabolite coverage. The presented metabolite fingerprinting workflow is based on liquid chromatography high resolution accurate mass spectrometry (LC-HRAM-MS), which provides suitable separation of the complex sample matrix for the analysis of compounds of different polarity by positive and negative electrospray ionization and mass spectrometry. The resulting data sets are then analyzed with the software suite MarVis and the web-based interface MetaboAnalyst. MarVis offers a straightforward workflow for statistical analysis, data merging as well as visualization of multivariate data, while MetaboAnalyst is used in our hands as complementary software for statistics, correlation networks and figure generation. Finally, MarVis provides access to species-specific metabolite and pathway data bases like KEGG and BioCyc and to custom data bases tailored by the user to connect the identified markers or features with metabolites. In addition, identified marker candidates can be interactively visualized and inspected in metabolic pathway maps by KEGG pathways for a more detailed functional annotation and confirmed by mass spectrometry fragmentation experiments or coelution with authentic standards. Together this workflow is a valuable toolbox to identify novel metabolites, metabolic steps or regulatory principles and pathways.
Collapse
Affiliation(s)
- Kirstin Feussner
- University of Goettingen, Albrecht-von-Haller-Institute for Plant Sciences, Department of Plant Biochemistry, Goettingen, Germany; University of Goettingen, Goettingen Center for Molecular Biosciences (GZMB), Service Unit for Metabolomics and Lipidomics, Goettingen, Germany.
| | - Ilka N Abreu
- University of Goettingen, Albrecht-von-Haller-Institute for Plant Sciences, Department of Plant Biochemistry, Goettingen, Germany
| | - Moritz Klein
- University of Goettingen, Albrecht-von-Haller-Institute for Plant Sciences, Department of Plant Biochemistry, Goettingen, Germany
| | - Ivo Feussner
- University of Goettingen, Albrecht-von-Haller-Institute for Plant Sciences, Department of Plant Biochemistry, Goettingen, Germany; University of Goettingen, Goettingen Center for Molecular Biosciences (GZMB), Service Unit for Metabolomics and Lipidomics, Goettingen, Germany; University of Goettingen, Goettingen Center for Molecular Biosciences (GZMB), Department of Plant Biochemistry, Goettingen, Germany.
| |
Collapse
|
14
|
Kaigongi MM, Lukhoba CW, Musila FM, Taylor M, Mbugua RW, Githiomi J, Yenesew A, Makunga NP. A versatile untargeted metabolomics-driven technology for rapid phytochemical profiling of stem barks of Zanthoxylum species with antioxidant and antimicrobial activities. ADVANCES IN TRADITIONAL MEDICINE 2022. [DOI: 10.1007/s13596-022-00676-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
AbstractZanthoxylum species are credited with various uses in ethnomedicine due to their rich metabolite composition. In Kenya, these include management of cancer and microbial related ailments. However, there are limited reports showing how the bioactivity of Kenyan Zanthoxylum species is linked to their phytochemical profiles. This study therefore aimed at examining the chemical variation among five Zanthoxylum species found in Kenya (Z. chalybeum, Z. gilletii, Z. holtzianum, Z. paracanthum and Z. usambarense) using metabolomics approaches and the anti-oxidant and antimicrobial activities of these species. In a Folin–Ciocalteu test, the phenolic content of the stem bark extracts of these species were 73.083–145.272 mg TAE/g, while the alkaloids (in bromothymol blue chromogenic test) and flavonoids (in aluminium chloride test) were found to be 152.39–207.19 mg ME/g, and 109.416–186.413 mg CE/g, respectively. These extracts also exerted strong antioxidant activities in the 2,2-iphenyl-1-picrylhydrazyl (DPPH) and ferric ion reducing antioxidant power assays. In a broth dilution assay, the extract of the stem bark of Z. holtzianum ability showed the highest antimicrobial activity, followed by Z. chalybeum stem bark extract. The activities were positively correlated to both flavonoids and alkaloids concentrations, while the concentration of phenolics had weak negative correlation to antimicrobial activities. A chemometric analysis of the liquid-chromatography mass spectrometry profiles led to grouping of the species into three clusters. This study illustrates the variation in the bioactivity of Zanthoxylum species based on metabolite composition and justifies the wide usage of Zanthoxylum species in Kenyan traditional medicinal practices.
Graphical abstract
Collapse
|
15
|
Untargeted Fecal Metabolomic Analyses across an Industrialization Gradient Reveal Shared Metabolites and Impact of Industrialization on Fecal Microbiome-Metabolome Interactions. mSystems 2022; 7:e0071022. [PMID: 36416540 PMCID: PMC9765122 DOI: 10.1128/msystems.00710-22] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
The metabolome is a central determinant of human phenotypes and includes the plethora of small molecules produced by host and microbiome or taken up from exogenous sources. However, studies of the metabolome have so far focused predominantly on urban, industrialized populations. Through an untargeted metabolomic analysis of 90 fecal samples from human individuals from Africa and the Americas-the birthplace and the last continental expansion of our species, respectively-we characterized a shared human fecal metabolome. The majority of detected metabolite features were ubiquitous across populations, despite any geographic, dietary, or behavioral differences. Such shared metabolite features included hyocholic acid and cholesterol. However, any characterization of the shared human fecal metabolome is insufficient without exploring the influence of industrialization. Here, we show chemical differences along an industrialization gradient, where the degree of industrialization correlates with metabolomic changes. We identified differential metabolite features such as amino acid-conjugated bile acids and urobilin as major metabolic correlates of these behavioral shifts. Additionally, coanalyses with over 5,000 publicly available human fecal samples and cooccurrence probability analyses with the gut microbiome highlight connections between the human fecal metabolome and gut microbiome. Our results indicate that industrialization significantly influences the human fecal metabolome, but diverse human lifestyles and behavior still maintain a shared human fecal metabolome. This study represents the first characterization of the shared human fecal metabolome through untargeted analyses of populations along an industrialization gradient. IMPORTANCE As the world becomes increasingly industrialized, understanding the biological consequences of these lifestyle shifts and what it means for past, present, and future human health is critical. Indeed, industrialization is associated with rises in allergic and autoimmune health conditions and reduced microbial diversity. Exploring these health effects on a chemical level requires consideration of human lifestyle diversity, but understanding the significance of any differences also requires knowledge of what molecular components are shared between human groups. Our study reveals the key chemistry of the human gut as defined by varied industrialization-based differences and ubiquitous shared features. Ultimately, these novel findings extend our knowledge of human molecular biology, especially as it is influenced by lifestyle and behavior, and provide steps toward understanding how human biology has changed over our species' history.
Collapse
|
16
|
Drapal M, De Boeck B, Kreuze HL, Bonierbale M, Fraser PD. Identification of metabolites associated with boiled potato sensory attributes in freshly harvested and stored potatoes. J Food Compost Anal 2022. [DOI: 10.1016/j.jfca.2022.104934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
|
17
|
Wang K, Yuan Y, Luo X, Shen Z, Huang Y, Zhou H, Gao X. Effects of exogenous selenium application on nutritional quality and metabolomic characteristics of mung bean ( Vigna radiata L.). FRONTIERS IN PLANT SCIENCE 2022; 13:961447. [PMID: 36061759 PMCID: PMC9433778 DOI: 10.3389/fpls.2022.961447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Accepted: 07/26/2022] [Indexed: 06/15/2023]
Abstract
Selenium (Se) biofortification is an important strategy for reducing hidden hunger by increasing the nutritional quality of crops. However, there is limited metabolomic information on the nutritional quality of Se-enriched mung beans. In this study, physiological assays and LC-MS/MS based widely targeted metabolomics approach was employed to reveal the Se biofortification potential of mung bean by evaluating the effect of Se on mung bean nutraceutical compounds and their qualitative parameters. Physiological data showed that foliar application of 30 g ha-1 Se at key growth stages significantly increased the content of Se, protein, fat, total phenols, and total flavonoids content in two mung bean varieties. Widely targeted metabolomics identified 1,080 metabolites, among which L-Alanyl-L-leucine, 9,10-Dihydroxy-12,13-epoxyoctadecanoic acid, and 1-caffeoylquinic acid could serve as biomarkers for identifying highly nutritious mung bean varieties. Pathway enrichment analysis revealed that the metabolic pathways of different metabolites were different in the Se-enriched mung bean. Specifically, P1 was mainly enriched in the linoleic acid metabolic pathway, while P2 was mainly enriched in the phosphonate and phosphinate metabolic pathways. Overall, these results revealed the specific Se enrichment mechanism of different mung bean varieties. This study provides new insights into the comprehensive improvement of the nutritional quality of mung beans.
Collapse
|
18
|
Tzanakis K, Nattkemper TW, Niehaus K, Albaum SP. MetHoS: a platform for large-scale processing, storage and analysis of metabolomics data. BMC Bioinformatics 2022; 23:267. [PMID: 35804309 PMCID: PMC9270834 DOI: 10.1186/s12859-022-04793-w] [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: 06/21/2021] [Accepted: 06/14/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Modern mass spectrometry has revolutionized the detection and analysis of metabolites but likewise, let the data skyrocket with repositories for metabolomics data filling up with thousands of datasets. While there are many software tools for the analysis of individual experiments with a few to dozens of chromatograms, we see a demand for a contemporary software solution capable of processing and analyzing hundreds or even thousands of experiments in an integrative manner with standardized workflows. RESULTS Here, we introduce MetHoS as an automated web-based software platform for the processing, storage and analysis of great amounts of mass spectrometry-based metabolomics data sets originating from different metabolomics studies. MetHoS is based on Big Data frameworks to enable parallel processing, distributed storage and distributed analysis of even larger data sets across clusters of computers in a highly scalable manner. It has been designed to allow the processing and analysis of any amount of experiments and samples in an integrative manner. In order to demonstrate the capabilities of MetHoS, thousands of experiments were downloaded from the MetaboLights database and used to perform a large-scale processing, storage and statistical analysis in a proof-of-concept study. CONCLUSIONS MetHoS is suitable for large-scale processing, storage and analysis of metabolomics data aiming at untargeted metabolomic analyses. It is freely available at: https://methos.cebitec.uni-bielefeld.de/ . Users interested in analyzing their own data are encouraged to apply for an account.
Collapse
Affiliation(s)
- Konstantinos Tzanakis
- International Research Training Group "Computational Methods for the Analysis of the Diversity and Dynamics of Genomes", Faculty of Technology, Bielefeld University, Bielefeld, Germany.
| | - Tim W Nattkemper
- Biodata Mining Group, Center for Biotechnology (CeBiTec), Faculty of Technology, Bielefeld University, Bielefeld, Germany
| | - Karsten Niehaus
- Proteome and Metabolome Research, Center for Biotechnology (CeBiTec), Faculty of Biology, Bielefeld University, Bielefeld, Germany
| | - Stefan P Albaum
- Bioinformatics Resource Facility, Center for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, Germany
| |
Collapse
|
19
|
Computational method for untargeted determination of cycling yeast metabolites using comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry. Talanta 2022; 244:123396. [DOI: 10.1016/j.talanta.2022.123396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 03/14/2022] [Accepted: 03/16/2022] [Indexed: 11/23/2022]
|
20
|
Xu Y, Fu X. Reprogramming of Plant Central Metabolism in Response to Abiotic Stresses: A Metabolomics View. Int J Mol Sci 2022; 23:ijms23105716. [PMID: 35628526 PMCID: PMC9143615 DOI: 10.3390/ijms23105716] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Revised: 05/15/2022] [Accepted: 05/18/2022] [Indexed: 12/15/2022] Open
Abstract
Abiotic stresses rewire plant central metabolism to maintain metabolic and energy homeostasis. Metabolites involved in the plant central metabolic network serve as a hub for regulating carbon and energy metabolism under various stress conditions. In this review, we introduce recent metabolomics techniques used to investigate the dynamics of metabolic responses to abiotic stresses and analyze the trend of publications in this field. We provide an updated overview of the changing patterns in central metabolic pathways related to the metabolic responses to common stresses, including flooding, drought, cold, heat, and salinity. We extensively review the common and unique metabolic changes in central metabolism in response to major abiotic stresses. Finally, we discuss the challenges and some emerging insights in the future application of metabolomics to study plant responses to abiotic stresses.
Collapse
Affiliation(s)
- Yuan Xu
- Department of Plant Biology, Michigan State University, East Lansing, MI 48824, USA
- Correspondence: (Y.X.); (X.F.)
| | - Xinyu Fu
- Plant Research Laboratory, Michigan State University, East Lansing, MI 48824, USA
- Correspondence: (Y.X.); (X.F.)
| |
Collapse
|
21
|
Koley S, Chu KL, Gill SS, Allen DK. An efficient LC-MS method for isomer separation and detection of sugars, phosphorylated sugars, and organic acids. JOURNAL OF EXPERIMENTAL BOTANY 2022; 73:2938-2952. [PMID: 35560196 DOI: 10.1093/jxb/erac062] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Accepted: 02/15/2022] [Indexed: 06/15/2023]
Abstract
Assessing central carbon metabolism in plants can be challenging due to the dynamic range in pool sizes, with low levels of important phosphorylated sugars relative to more abundant sugars and organic acids. Here, we report a sensitive liquid chromatography-mass spectrometry method for analysing central metabolites on a hybrid column, where both anion-exchange and hydrophilic interaction chromatography (HILIC) ligands are embedded in the stationary phase. The liquid chromatography method was developed for enhanced selectivity of 27 central metabolites in a single run with sensitivity at femtomole levels observed for most phosphorylated sugars. The method resolved phosphorylated hexose, pentose, and triose isomers that are otherwise challenging. Compared with a standard HILIC approach, these metabolites had improved peak areas using our approach due to ion enhancement or low ion suppression in the biological sample matrix. The approach was applied to investigate metabolism in high lipid-producing tobacco leaves that exhibited increased levels of acetyl-CoA, a precursor for oil biosynthesis. The application of the method to isotopologue detection and quantification was considered through evaluating 13C-labeled seeds from Camelina sativa. The method provides a means to analyse intermediates more comprehensively in central metabolism of plant tissues.
Collapse
Affiliation(s)
- Somnath Koley
- Donald Danforth Plant Science Center, St Louis, MO 63132, USA
| | - Kevin L Chu
- Donald Danforth Plant Science Center, St Louis, MO 63132, USA
- United States Department of Agriculture-Agriculture Research Service, Donald Danforth Plant Science Center, St Louis, MO 63132, USA
| | - Saba S Gill
- Donald Danforth Plant Science Center, St Louis, MO 63132, USA
- United States Department of Agriculture-Agriculture Research Service, Donald Danforth Plant Science Center, St Louis, MO 63132, USA
| | - Doug K Allen
- Donald Danforth Plant Science Center, St Louis, MO 63132, USA
- United States Department of Agriculture-Agriculture Research Service, Donald Danforth Plant Science Center, St Louis, MO 63132, USA
| |
Collapse
|
22
|
Ganesan R, Jeong JJ, Kim DJ, Suk KT. Recent Trends of Microbiota-Based Microbial Metabolites Metabolism in Liver Disease. Front Med (Lausanne) 2022; 9:841281. [PMID: 35615096 PMCID: PMC9125096 DOI: 10.3389/fmed.2022.841281] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 04/19/2022] [Indexed: 12/12/2022] Open
Abstract
The gut microbiome and microbial metabolomic influences on liver diseases and their diagnosis, prognosis, and treatment are still controversial. Research studies have provocatively claimed that the gut microbiome, metabolomics understanding, and microbial metabolite screening are key approaches to understanding liver cancer and liver diseases. An advance of logical innovations in metabolomics profiling, the metabolome inclusion, challenges, and the reproducibility of the investigations at every stage are devoted to this domain to link the common molecules across multiple liver diseases, such as fatty liver, hepatitis, and cirrhosis. These molecules are not immediately recognizable because of the huge underlying and synthetic variety present inside the liver cellular metabolome. This review focuses on microenvironmental metabolic stimuli in the gut-liver axis. Microbial small-molecule profiling (i.e., semiquantitative monitoring, metabolic discrimination, target profiling, and untargeted profiling) in biological fluids has been incompletely addressed. Here, we have reviewed the differential expression of the metabolome of short-chain fatty acids (SCFAs), tryptophan, one-carbon metabolism and bile acid, and the gut microbiota effects are summarized and discussed. We further present proof-of-evidence for gut microbiota-based metabolomics that manipulates the host's gut or liver microbes, mechanosensitive metabolite reactions and potential metabolic pathways. We conclude with a forward-looking perspective on future attention to the “dark matter” of the gut microbiota and microbial metabolomics.
Collapse
|
23
|
Rakhesh KV, Ashalatha SN, Mahima K, Baskar V, Thiruvengadam M. Untargeted Metabolomic Approach to Determine the Regulatory Pathways on Salicylic Acid-Mediated Stress Response in Aphanamixis polystachya Seedlings. Molecules 2022; 27:2966. [PMID: 35566316 PMCID: PMC9102903 DOI: 10.3390/molecules27092966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 04/22/2022] [Accepted: 04/26/2022] [Indexed: 02/01/2023] Open
Abstract
Plants thrive under abiotic and biotic stress conditions with the changes in phytohormones like salicylic acid (SA), resulting in the synthesis of secondary metabolites. The present study determines the response of plants in producing secondary metabolites towards different SA concentrations at varying time intervals. Liquid chromatography-mass spectrometry-based metabolomics studies in Aphanamixis polystachya (Wall.) Parker seedlings are grown at 10 mM, 50 mM, and 100 mM SA concentrations, showed the differential expression of metabolites towards the stress. Alkaloids like amaranthin showed a 15-fold increase on the second day, and analog of androvinblastin showed a 20-fold increase on the sixth day in 10 mM SA compared with other groups. Flavanoid cyanidin 3-3 glucosyl was found to be with a 22-fold increment along with terpenoids betavulgaroside (18-fold), asiaticoside (17-fold), mubenin B (20-fold), and deslanoside (22-fold) increment in 50 mM SA on the sixth day. The shock exerted by 100 mM was too harsh, and the lowered metabolite production level was insufficient for the seedlings to survive at this higher SA condition. Arrangement of stressed groups using Pearson correlation studies, principal component analysis, and partial least square analysis placed 10 mM SA and controlled group closer and 50 mM SA and 100 mM SA groups closer to each other. The study observed that SA regulates metabolites that mediate biotic stress responses at low concentrations, and higher concentrations regulate abiotic stress regulating metabolites.
Collapse
Affiliation(s)
| | | | - Karthikeyan Mahima
- Department of Pharmacognosy, Siddha Central Research Institute, Chennai 600106, India;
| | - Venkidasamy Baskar
- Department of Biotechnology, Sri Shakthi Institute of Engineering and Technology, Coimbatore 641062, India;
| | - Muthu Thiruvengadam
- Department of Crop Science, College of Sanghuh Life Science, Konkuk University, Seoul 05029, Korea
| |
Collapse
|
24
|
Zargar SM, Mir RA, Ebinezer LB, Masi A, Hami A, Manzoor M, Salgotra RK, Sofi NR, Mushtaq R, Rohila JS, Rakwal R. Physiological and Multi-Omics Approaches for Explaining Drought Stress Tolerance and Supporting Sustainable Production of Rice. FRONTIERS IN PLANT SCIENCE 2022; 12:803603. [PMID: 35154193 PMCID: PMC8829427 DOI: 10.3389/fpls.2021.803603] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 12/14/2021] [Indexed: 05/12/2023]
Abstract
Drought differs from other natural disasters in several respects, largely because of the complexity of a crop's response to it and also because we have the least understanding of a crop's inductive mechanism for addressing drought tolerance among all abiotic stressors. Overall, the growth and productivity of crops at a global level is now thought to be an issue that is more severe and arises more frequently due to climatic change-induced drought stress. Among the major crops, rice is a frontline staple cereal crop of the developing world and is critical to sustaining populations on a daily basis. Worldwide, studies have reported a reduction in rice productivity over the years as a consequence of drought. Plants are evolutionarily primed to withstand a substantial number of environmental cues by undergoing a wide range of changes at the molecular level, involving gene, protein and metabolite interactions to protect the growing plant. Currently, an in-depth, precise and systemic understanding of fundamental biological and cellular mechanisms activated by crop plants during stress is accomplished by an umbrella of -omics technologies, such as transcriptomics, metabolomics and proteomics. This combination of multi-omics approaches provides a comprehensive understanding of cellular dynamics during drought or other stress conditions in comparison to a single -omics approach. Thus a greater need to utilize information (big-omics data) from various molecular pathways to develop drought-resilient crop varieties for cultivation in ever-changing climatic conditions. This review article is focused on assembling current peer-reviewed published knowledge on the use of multi-omics approaches toward expediting the development of drought-tolerant rice plants for sustainable rice production and realizing global food security.
Collapse
Affiliation(s)
- Sajad Majeed Zargar
- Proteomics Laboratory, Division of Plant Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Srinagar, India
| | - Rakeeb Ahmad Mir
- Department of Biotechnology, School of Biosciences and Biotechnology, BGSB University, Rajouri, India
| | - Leonard Barnabas Ebinezer
- Department of Agronomy, Food, Natural Resources, Animals, and Environment, University of Padova, Padua, Italy
| | - Antonio Masi
- Department of Agronomy, Food, Natural Resources, Animals, and Environment, University of Padova, Padua, Italy
| | - Ammarah Hami
- Proteomics Laboratory, Division of Plant Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Srinagar, India
| | - Madhiya Manzoor
- Proteomics Laboratory, Division of Plant Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Srinagar, India
| | - Romesh K. Salgotra
- School of Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Jammu, India
| | - Najeebul Rehman Sofi
- Division of Plant Breeding and Genetics, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Srinagar, India
| | - Roohi Mushtaq
- Department of Biotechnology and Bioinformatics, SP College, Cluster University Srinagar, Srinagar, India
| | - Jai Singh Rohila
- Dale Bumpers National Rice Research Center, United States Department of Agriculture (USDA)-Agricultural Research Service (ARS), Stuttgart, AR, United States
| | - Randeep Rakwal
- Faculty of Health and Sport Sciences, University of Tsukuba, Ibaraki, Japan
| |
Collapse
|
25
|
Seo C, Park S, Kim Y, Ji M, Lee HS, Hwang YH, Choi S, Min J, Oh SJ, Yee ST, Lee W, Paik MJ. Metabolomic analysis of amino acids and organic acids in aging mouse eyes using gas chromatography-tandem mass spectrometry. Biomed Chromatogr 2021; 36:e5298. [PMID: 34913179 DOI: 10.1002/bmc.5298] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Revised: 11/23/2021] [Accepted: 11/29/2021] [Indexed: 11/12/2022]
Abstract
This is a metabolomics study for monitoring of altered amino acid (AA) and organic acid (OA) metabolism of in the eyes from aging mouse model of 8-weeks, 18-weeks, and 18-months. Simultaneous metabolic profiling analysis of OAs and AAs was performed as ethoxycarbonyl/methoxime/tert-butyldimethylsilyl derivatives by gas chromatography-tandem mass spectrometry. A total 42 metabolites of 24 AAs and 18 OAs were determined and their composition values were normalized to the corresponding mean values of 8-week-old mice as control group. Then their normalized values were plotted as star graphs, which were distorted and readily distinguishable for age-related each group. Among 42 metabolites, 18 AAs and 11 OAs were age dependent and significantly different (p < 0.05). Principal component analysis and partial least squares discriminant analysis showed unclear separation between 8- and 18-week-old mice but clear separation between these and 18-month-old mice. Especially, the variables importance in projection (VIP) scores of 4-hydroxyproline, cis-aconitic acid, glycine, isocitric acid, leucine, pipecolic acid and lysine from PLS-DA were higher than 1.3. A heatmap for the classification and visualization of 42 metabolites showed differences in metabolite changes with aging. Altered AA and OA profiles were monitored, which may explain for metabolic disturbance of AA and OA. These findings are related with mitochondrial dysfunctions related with energy metabolism and impaired antioxidant system in the aging eye. Therefore, the present metabolomics results of the association between physiological states and altered metabolism of AA and OA will be useful for understanding aging eye and related diseases.
Collapse
Affiliation(s)
- Chan Seo
- College of Pharmacy and Research Institute of Life and Pharmaceutical Sciences, Sunchon National University, Suncheon, Republic of Korea
| | - Sehoon Park
- College of Pharmacy and Research Institute of Life and Pharmaceutical Sciences, Sunchon National University, Suncheon, Republic of Korea
| | - Youngbae Kim
- College of Pharmacy and Research Institute of Life and Pharmaceutical Sciences, Sunchon National University, Suncheon, Republic of Korea
| | - Moongi Ji
- College of Pharmacy and Research Institute of Life and Pharmaceutical Sciences, Sunchon National University, Suncheon, Republic of Korea
| | - Hyeon-Seong Lee
- College of Pharmacy and Research Institute of Life and Pharmaceutical Sciences, Sunchon National University, Suncheon, Republic of Korea.,Natural Product Informatics Research Center, Gangneung Institute of Natural Products, Korea Institute of Science and Technology, Gangwon-do, Republic of Korea
| | - Yun-Ho Hwang
- College of Pharmacy and Research Institute of Life and Pharmaceutical Sciences, Sunchon National University, Suncheon, Republic of Korea
| | - Subin Choi
- College of Pharmacy and Research Institute of Life and Pharmaceutical Sciences, Sunchon National University, Suncheon, Republic of Korea
| | - Jeuk Min
- College of Pharmacy and Research Institute of Life and Pharmaceutical Sciences, Sunchon National University, Suncheon, Republic of Korea
| | - Song-Jin Oh
- College of Pharmacy and Research Institute of Life and Pharmaceutical Sciences, Sunchon National University, Suncheon, Republic of Korea
| | - Sung-Tae Yee
- College of Pharmacy and Research Institute of Life and Pharmaceutical Sciences, Sunchon National University, Suncheon, Republic of Korea
| | - Wonjae Lee
- College of Pharmacy, Chosun University, Gwangju, Republic of Korea
| | - Man-Jeong Paik
- College of Pharmacy and Research Institute of Life and Pharmaceutical Sciences, Sunchon National University, Suncheon, Republic of Korea
| |
Collapse
|
26
|
Mu H, Ci Z, Aisajan M, Liang Y, Liu X, DU X, Yu Q, Li Q, Li Y. [Analysis of metabolite differences in skin between Clapp's Favorite and its mutant Red Clapp's Favorite through non-targeted metabolomics]. Se Pu 2021; 39:1203-1212. [PMID: 34677015 PMCID: PMC9404071 DOI: 10.3724/sp.j.1123.2021.05002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
为了探究西洋梨品种茄梨及其红色芽变红茄梨成熟期果皮代谢产物差异,采用超高效液相色谱-质谱联用技术,对茄梨和红茄梨成熟期果皮进行非靶向代谢组学研究。通过主成分分析和正交偏最小二乘判别分析,构建了多变量统计分析模型,结合模型和变量重要性投影与最大差异倍数值,基于精确质量数、二级碎片以及同位素分布,使用PMDB(Plant Metabolome Database)数据库进行定性,筛选并鉴定出茄梨和红茄梨果皮中显著性变化(P<0.05, VIP(variable importance in project)≥1)的差异代谢物有83种,主要包括酚酸类、黄酮类和氨基酸类物质,涉及类黄酮代谢、氨基酸代谢、苯丙烷类代谢等代谢途径,其中53种物质含量上调,30种物质表达下调。通过KEGG(Kyoto Encyclopedia of Genes and Genomes)数据库进一步对差异代谢物质进行通路富集分析,差异代谢物主要分布在20条代谢途径中,P<0.05的代谢途径有6条,分别是类黄酮生物合成、黄酮和黄酮醇生物合成、苯丙烷生物合成、丁酸酯代谢、苯丙氨酸代谢、酪氨酸代谢。这些差异代谢物的变化可能是导致茄梨和红茄梨果皮色泽不同的原因。该研究从植物代谢组学角度初步揭示了茄梨和红茄梨成熟期果皮的代谢产物差异性。
Collapse
Affiliation(s)
- Hongmei Mu
- Yantai Academy of Agricultural Sciences Shandong Province, Yantai 26550, China
| | - Zhijuan Ci
- Yantai Academy of Agricultural Sciences Shandong Province, Yantai 26550, China
| | - Mamat Aisajan
- Xinjiang Academy of Agricultural Sciences, Urumchi 830091, China
| | - Yanping Liang
- Yunnan Academy of Agricultural Sciences, Yunnan 650205, China
| | - Xiaohong Liu
- Yantai Academy of Agricultural Sciences Shandong Province, Yantai 26550, China
| | - Xiaoyun DU
- Yantai Academy of Agricultural Sciences Shandong Province, Yantai 26550, China
| | - Qiang Yu
- Yantai Academy of Agricultural Sciences Shandong Province, Yantai 26550, China
| | - Qingyu Li
- Yantai Academy of Agricultural Sciences Shandong Province, Yantai 26550, China
| | - Yuanjun Li
- Yantai Academy of Agricultural Sciences Shandong Province, Yantai 26550, China
| |
Collapse
|
27
|
Maia M, Figueiredo A, Cordeiro C, Sousa Silva M. FT-ICR-MS-based metabolomics: A deep dive into plant metabolism. MASS SPECTROMETRY REVIEWS 2021. [PMID: 34545595 DOI: 10.1002/mas.21731] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 08/30/2021] [Accepted: 09/09/2021] [Indexed: 06/13/2023]
Abstract
Metabolomics involves the identification and quantification of metabolites to unravel the chemical footprints behind cellular regulatory processes and to decipher metabolic networks, opening new insights to understand the correlation between genes and metabolites. In plants, it is estimated the existence of hundreds of thousands of metabolites and the majority is still unknown. Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) is a powerful analytical technique to tackle such challenges. The resolving power and sensitivity of this ultrahigh mass accuracy mass analyzer is such that a complex mixture, such as plant extracts, can be analyzed and thousands of metabolite signals can be detected simultaneously and distinguished based on the naturally abundant elemental isotopes. In this review, FT-ICR-MS-based plant metabolomics studies are described, emphasizing FT-ICR-MS increasing applications in plant science through targeted and untargeted approaches, allowing for a better understanding of plant development, responses to biotic and abiotic stresses, and the discovery of new natural nutraceutical compounds. Improved metabolite extraction protocols compatible with FT-ICR-MS, metabolite analysis methods and metabolite identification platforms are also explored as well as new in silico approaches. Most recent advances in MS imaging are also discussed.
Collapse
Affiliation(s)
- Marisa Maia
- Departamento de Química e Bioquímica, Laboratório de FTICR e Espectrometria de Massa Estrutural, MARE-Marine and Environmental Sciences Centre, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
- Departamento de Biologia Vegetal, Faculdade de Ciências, Grapevine Pathogen Systems Lab (GPS Lab), Biosystems and Integrative Sciences Institute (BioISI), Universidade de Lisboa, Lisboa, Portugal
| | - Andreia Figueiredo
- Departamento de Biologia Vegetal, Faculdade de Ciências, Grapevine Pathogen Systems Lab (GPS Lab), Biosystems and Integrative Sciences Institute (BioISI), Universidade de Lisboa, Lisboa, Portugal
| | - Carlos Cordeiro
- Departamento de Química e Bioquímica, Laboratório de FTICR e Espectrometria de Massa Estrutural, MARE-Marine and Environmental Sciences Centre, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Marta Sousa Silva
- Departamento de Química e Bioquímica, Laboratório de FTICR e Espectrometria de Massa Estrutural, MARE-Marine and Environmental Sciences Centre, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| |
Collapse
|
28
|
Troisi J, Landolfi A, Cavallo P, Marciano F, Barone P, Amboni M. Metabolomics in Parkinson's disease. Adv Clin Chem 2021; 104:107-149. [PMID: 34462054 DOI: 10.1016/bs.acc.2020.09.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Parkinson's disease (PD) is a multifactorial neurodegenerative disorder in which environmental (lifestyle, dietary, infectious disease) factors as well as genetic make-up play a role. Metabolomics, an evolving research field combining biomarker discovery and pathogenetics, is particularly useful in studying complex pathophysiology in general and Parkinson's disease (PD) specifically. PD, the second most frequent neurodegenerative disorder, is characterized by the loss of dopaminergic neurons in the substantia nigra and the presence of intraneural inclusions of α-synuclein aggregates. Although considered a predominantly movement disorder, PD is also associated with number of non-motor features. Metabolomics has provided useful information regarding this neurodegenerative process with the aim of identifying a disease-specific fingerprint. Unfortunately, many disease variables such as clinical presentation, motor system involvement, disease stage and duration substantially affect biomarker relevance. As such, metabolomics provides a unique approach to studying this multifactorial neurodegenerative disorder.
Collapse
Affiliation(s)
- Jacopo Troisi
- Department of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", University of Salerno, Baronissi, SA, Italy; Theoreo Srl, Montecorvino Pugliano, SA, Italy; European Biomedical Research Institute of Salerno (EBRIS), Salerno, SA, Italy.
| | - Annamaria Landolfi
- Department of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", University of Salerno, Baronissi, SA, Italy
| | - Pierpaolo Cavallo
- Department of Physics, University of Salerno, Fisciano, SA, Italy; Istituto Sistemi Complessi del Consiglio Nazionale delle Ricerche (ISC-CNR), Roma, RM, Italy
| | - Francesca Marciano
- European Biomedical Research Institute of Salerno (EBRIS), Salerno, SA, Italy
| | - Paolo Barone
- Department of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", University of Salerno, Baronissi, SA, Italy
| | - Marianna Amboni
- Department of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", University of Salerno, Baronissi, SA, Italy
| |
Collapse
|
29
|
Lephatsi MM, Meyer V, Piater LA, Dubery IA, Tugizimana F. Plant Responses to Abiotic Stresses and Rhizobacterial Biostimulants: Metabolomics and Epigenetics Perspectives. Metabolites 2021; 11:457. [PMID: 34357351 PMCID: PMC8305699 DOI: 10.3390/metabo11070457] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 07/12/2021] [Accepted: 07/13/2021] [Indexed: 01/14/2023] Open
Abstract
In response to abiotic stresses, plants mount comprehensive stress-specific responses which mediate signal transduction cascades, transcription of relevant responsive genes and the accumulation of numerous different stress-specific transcripts and metabolites, as well as coordinated stress-specific biochemical and physiological readjustments. These natural mechanisms employed by plants are however not always sufficient to ensure plant survival under abiotic stress conditions. Biostimulants such as plant growth-promoting rhizobacteria (PGPR) formulation are emerging as novel strategies for improving crop quality, yield and resilience against adverse environmental conditions. However, to successfully formulate these microbial-based biostimulants and design efficient application programs, the understanding of molecular and physiological mechanisms that govern biostimulant-plant interactions is imperatively required. Systems biology approaches, such as metabolomics, can unravel insights on the complex network of plant-PGPR interactions allowing for the identification of molecular targets responsible for improved growth and crop quality. Thus, this review highlights the current models on plant defence responses to abiotic stresses, from perception to the activation of cellular and molecular events. It further highlights the current knowledge on the application of microbial biostimulants and the use of epigenetics and metabolomics approaches to elucidate mechanisms of action of microbial biostimulants.
Collapse
Affiliation(s)
- Motseoa M. Lephatsi
- Department of Biochemistry, University of Johannesburg, Auckland Park, Johannesburg 2006, South Africa; (M.M.L.); (L.A.P.); (I.A.D.)
| | - Vanessa Meyer
- School of Molecular and Cell Biology, University of the Witwatersrand, Private Bag 3, WITS, Johannesburg 2050, South Africa;
| | - Lizelle A. Piater
- Department of Biochemistry, University of Johannesburg, Auckland Park, Johannesburg 2006, South Africa; (M.M.L.); (L.A.P.); (I.A.D.)
| | - Ian A. Dubery
- Department of Biochemistry, University of Johannesburg, Auckland Park, Johannesburg 2006, South Africa; (M.M.L.); (L.A.P.); (I.A.D.)
| | - Fidele Tugizimana
- Department of Biochemistry, University of Johannesburg, Auckland Park, Johannesburg 2006, South Africa; (M.M.L.); (L.A.P.); (I.A.D.)
- International Research and Development Division, Omnia Group, Ltd., Johannesburg 2021, South Africa
| |
Collapse
|
30
|
Zeng X, Liu D, Huang L. Metabolome Profiling of Eight Chinese Yam ( Dioscorea polystachya Turcz.) Varieties Reveals Metabolite Diversity and Variety Specific Uses. Life (Basel) 2021; 11:687. [PMID: 34357058 PMCID: PMC8308037 DOI: 10.3390/life11070687] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 06/24/2021] [Accepted: 07/06/2021] [Indexed: 01/04/2023] Open
Abstract
The Chinese yam (Dioscorea polystachya Turcz.) is an underutilized orphan tuber crop. However, in China it has been used in traditional medicine and food for centuries due to the presence of high starch, protein, fiber, and biologically active compounds. Knowledge on the metabolomic profiles of Chinese yam varieties is needed to explore the underutilized metabolites and variety specific uses. Here, the metabolome of eight Chinese yam varieties that are cultivated in different Chinese regions was profiled. A total of 431 metabolites belonging to different biochemical classes was detected. The majority of detected metabolites were classified as amino acids and derivatives. The different yam varieties offer unique uses; e.g., Hebei Ma Yam, Henan Huai Yam, and Henan Wild Yam were the most metabolically enriched and suitable as food and medicine. Yams from Hubei region had comparable nutritional profiles, which is most probably due to their geographical origin. Specifically, Henan Wild Yam had the highest concentrations of diosgenin, vitamins, and polysaccharides. Overall, this study presents a metabolome reference for D. polystachya varieties.
Collapse
Affiliation(s)
- Xiaoxuan Zeng
- Faculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan 430065, China; (X.Z.); (D.L.)
- State Key Laboratory Breeding Base of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Dahui Liu
- Faculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan 430065, China; (X.Z.); (D.L.)
| | - Luqi Huang
- Faculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan 430065, China; (X.Z.); (D.L.)
- State Key Laboratory Breeding Base of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
| |
Collapse
|
31
|
Alseekh S, Aharoni A, Brotman Y, Contrepois K, D'Auria J, Ewald J, C Ewald J, Fraser PD, Giavalisco P, Hall RD, Heinemann M, Link H, Luo J, Neumann S, Nielsen J, Perez de Souza L, Saito K, Sauer U, Schroeder FC, Schuster S, Siuzdak G, Skirycz A, Sumner LW, Snyder MP, Tang H, Tohge T, Wang Y, Wen W, Wu S, Xu G, Zamboni N, Fernie AR. Mass spectrometry-based metabolomics: a guide for annotation, quantification and best reporting practices. Nat Methods 2021; 18:747-756. [PMID: 34239102 PMCID: PMC8592384 DOI: 10.1038/s41592-021-01197-1] [Citation(s) in RCA: 366] [Impact Index Per Article: 122.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Accepted: 05/27/2021] [Indexed: 02/06/2023]
Abstract
Mass spectrometry-based metabolomics approaches can enable detection and quantification of many thousands of metabolite features simultaneously. However, compound identification and reliable quantification are greatly complicated owing to the chemical complexity and dynamic range of the metabolome. Simultaneous quantification of many metabolites within complex mixtures can additionally be complicated by ion suppression, fragmentation and the presence of isomers. Here we present guidelines covering sample preparation, replication and randomization, quantification, recovery and recombination, ion suppression and peak misidentification, as a means to enable high-quality reporting of liquid chromatography- and gas chromatography-mass spectrometry-based metabolomics-derived data.
Collapse
Affiliation(s)
- Saleh Alseekh
- Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany.
- Institute of Plants Systems Biology and Biotechnology, Plovdiv, Bulgaria.
| | - Asaph Aharoni
- Department of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Yariv Brotman
- Department of Life Sciences, Ben Gurion University of the Negev, Beersheva, Israel
| | - Kévin Contrepois
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - John D'Auria
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany
| | - Jan Ewald
- Department of Bioinformatics, University of Jena, Jena, Germany
| | - Jennifer C Ewald
- Interfaculty Institute of Cell Biology, Eberhard Karls University of Tuebingen, Tuebingen, Germany
| | - Paul D Fraser
- Biological Sciences, Royal Holloway University of London, Egham, UK
| | | | - Robert D Hall
- BU Bioscience, Wageningen Research, Wageningen, the Netherlands
- Laboratory of Plant Physiology, Wageningen University, Wageningen, the Netherlands
| | - Matthias Heinemann
- Molecular Systems Biology, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, the Netherlands
| | - Hannes Link
- Max Planck Institute for Terrestrial Microbiology, Marburg, Germany
| | - Jie Luo
- College of Tropical Crops, Hainan University, Haikou, China
| | - Steffen Neumann
- Bioinformatics and Scientific Data, Leibniz Institute for Plant Biochemistry, Halle, Germany
| | - Jens Nielsen
- BioInnovation Institute, Copenhagen, Denmark
- Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | | | - Kazuki Saito
- Plant Molecular Science Center, Chiba University, Chiba, Japan
- RIKEN Center for Sustainable Resource Science, Yokohama, Japan
| | - Uwe Sauer
- Institute for Molecular Systems Biology, ETH Zurich, Zurich, Switzerland
| | - Frank C Schroeder
- Boyce Thompson Institute and Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY, USA
| | - Stefan Schuster
- Department of Bioinformatics, University of Jena, Jena, Germany
| | - Gary Siuzdak
- Center for Metabolomics and Mass Spectrometry, Scripps Research Institute, La Jolla, CA, USA
| | - Aleksandra Skirycz
- Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany
- Boyce Thompson Institute and Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY, USA
| | - Lloyd W Sumner
- Department of Biochemistry and MU Metabolomics Center, University of Missouri, Columbia, MO, USA
| | - Michael P Snyder
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Huiru Tang
- State Key Laboratory of Genetic Engineering, Zhongshan Hospital and School of Life Sciences, Human Phenome Institute, Metabonomics and Systems Biology Laboratory at Shanghai International Centre for Molecular Phenomics, Fudan University, Shanghai, China
| | - Takayuki Tohge
- Department of Biological Science, Nara Institute of Science and Technology, Ikoma, Japan
| | - Yulan Wang
- Singapore Phenome Center, Lee Kong Chian School of Medicine, School of Biological Sciences, Nanyang Technological University, Nanyang, Singapore
| | - Weiwei Wen
- Key Laboratory of Horticultural Plant Biology (MOE), College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, China
| | - Si Wu
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Guowang Xu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
| | - Nicola Zamboni
- Institute for Molecular Systems Biology, ETH Zurich, Zurich, Switzerland
| | - Alisdair R Fernie
- Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany.
- Institute of Plants Systems Biology and Biotechnology, Plovdiv, Bulgaria.
| |
Collapse
|
32
|
A Medicago truncatula Metabolite Atlas Enables the Visualization of Differential Accumulation of Metabolites in Root Tissues. Metabolites 2021; 11:metabo11040238. [PMID: 33924579 PMCID: PMC8068785 DOI: 10.3390/metabo11040238] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 03/29/2021] [Accepted: 04/06/2021] [Indexed: 11/17/2022] Open
Abstract
Plant roots are composed of many differentiated tissue types, with each tissue exhibiting differential quantitative and qualitative accumulation of metabolites. The large-scale nontargeted metabolite profiles of these differentiated tissues are complex, which complicates the interpretation and development of hypotheses relative to the biological roles of differentially localized metabolites. Thus, we created a data visualization tool to aid in the visualization and understanding of differential metabolite accumulations in Medicago truncatula roots. This was achieved through the development of the Medicago truncatula Metabolite Atlas based upon an adaptation of the Arabidopsis Electronic Fluorescent Pictograph (eFP) Browser. Medicago truncatula roots were dissected into border cells, root cap, elongation zone, mature root, and root secretions. Each tissue was then analyzed by UHPLC-QTOF-MS and GC-Q-MS. Data were uploaded into a MySQL database and displayed in the Medicago truncatula Metabolite Atlas. The data revealed unique differential spatial localization of many metabolites, some of which are discussed here. Ultimately, the Medicago truncatula Metabolite Atlas compiles metabolite data into a singular, useful, and publicly available web-based tool that enables the visualization and understanding of differential metabolite accumulation and spatial localization.
Collapse
|
33
|
Ara T, Sakurai N, Suzuki H, Aoki K, Saito K, Shibata D. MassBase: A large-scaled depository of mass spectrometry datasets for metabolome analysis. PLANT BIOTECHNOLOGY (TOKYO, JAPAN) 2021; 38:167-171. [PMID: 34177338 PMCID: PMC8215474 DOI: 10.5511/plantbiotechnology.20.0911a] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Depository of low-molecular-weight compounds or metabolites detected in various organisms in a non-targeted manner is indispensable for metabolomics research. Due to the diverse chemical compounds, various mass spectrometry (MS) setups with state-of-the-art technologies have been used. Over the past two decades, we have analyzed various biological samples by using gas chromatography-mass spectrometry, liquid chromatography-mass spectrometry, or capillary electrophoresis-mass spectrometry, and archived the datasets in the depository MassBase (http://webs2.kazusa.or.jp/massbase/). As the format of MS datasets depends on the MS setup used, we converted each raw binary dataset of the mass chromatogram to text file format, and thereafter, information of the chromatograph peak was extracted in the text file from the converted file. In total, the depository comprises 46,493 datasets, of which 38,750 belong to the plant species and 7,743 are authentic or mixed chemicals as well as other sources (microorganisms, animals, and foods), as on August 1, 2020. All files in the depository can be downloaded in bulk from the website. Mass chromatograms of 90 plant species obtained by LC-Fourier transform ion cyclotron resonance MS or Orbitrap MS, which detect the ionized molecules with high accuracy allowing speculation of chemical compositions, were converted to text files by the software PowerGet, and the chemical annotation of each peak was added. The processed datasets were deposited in the annotation database KomicMarket2 (http://webs2.kazusa.or.jp/km2/). The archives provide fundamental resources for comparative metabolomics and functional genomics, which may result in deeper understanding of living organisms.
Collapse
Affiliation(s)
- Takeshi Ara
- Kazusa DNA Research Institute, 2-6-7 Kazusa-Kamatari, Kisarazu, Chiba 292-0818, Japan
- E-mail: Tel: +81-774-38-3653 Fax: +81-774-38-3682
| | - Nozomu Sakurai
- Kazusa DNA Research Institute, 2-6-7 Kazusa-Kamatari, Kisarazu, Chiba 292-0818, Japan
| | - Hideyuki Suzuki
- Kazusa DNA Research Institute, 2-6-7 Kazusa-Kamatari, Kisarazu, Chiba 292-0818, Japan
| | - Koh Aoki
- Kazusa DNA Research Institute, 2-6-7 Kazusa-Kamatari, Kisarazu, Chiba 292-0818, Japan
- Graduate School of Life and Environmental Sciences, Osaka Prefecture University, 1-1 Gakuencho, Naka, Sakai, Osaka 599-8531, Japan
| | - Kazuki Saito
- Kazusa DNA Research Institute, 2-6-7 Kazusa-Kamatari, Kisarazu, Chiba 292-0818, Japan
- Graduate School of Pharmaceutical Sciences, Chiba University, 1-8-1 Inohana, Chuo, Chiba, Chiba 260-8675, Japan
| | - Daisuke Shibata
- Kazusa DNA Research Institute, 2-6-7 Kazusa-Kamatari, Kisarazu, Chiba 292-0818, Japan
- Department of Biological Sciences, Kisarazu Campus of Tohoku University, 2-6-7 Kazusa-Kamatari, Kisarazu, Chiba 292-0818, Japan
| |
Collapse
|
34
|
Metabolomic Variation Aligns with Two Geographically Distinct Subpopulations of Brachypodium Distachyon before and after Drought Stress. Cells 2021; 10:cells10030683. [PMID: 33808796 PMCID: PMC8003576 DOI: 10.3390/cells10030683] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 03/14/2021] [Accepted: 03/15/2021] [Indexed: 12/24/2022] Open
Abstract
Brachypodium distachyon (Brachypodium) is a non-domesticated model grass that has been used to assess population level genomic variation. We have previously established a collection of 55 Brachypodium accessions that were sampled to reflect five different climatic regions of Turkey; designated 1a, 1c, 2, 3 and 4. Genomic and methylomic variation differentiated the collection into two subpopulations designated as coastal and central (respectively from regions 1a, 1c and the other from 2, 3 and 4) which were linked to environmental variables such as relative precipitation. Here, we assessed how far genomic variation would be reflected in the metabolomes and if this could be linked to an adaptive trait. Metabolites were extracted from eight-week-old seedlings from each accession and assessed using flow infusion high-resolution mass spectrometry (FIE-HRMS). Principal Component Analysis (PCA) of the derived metabolomes differentiated between samples from coastal and central subpopulations. The major sources of variation between seedling from the coastal and central subpopulations were identified. The central subpopulation was typified by significant increases in alanine, aspartate and glutamate metabolism and the tricarboxylic acid (TCA) cycle. Coastal subpopulation exhibited elevated levels of the auxin, indolacetic acid and rhamnose. The metabolomes of the seedling were also determined following the imposition of drought stress for seven days. The central subpopulation exhibited a metabolomic shift in response to drought, but no significant changes were seen in the coastal one. The drought responses in the central subpopulation were typified by changes in amino acids, increasing the glutamine that could be functioning as a stress signal. There were also changes in sugars that were likely to be an osmotic counter to drought, and changes in bioenergetic metabolism. These data indicate that genomic variation in our Turkish Brachypodium collection is largely reflected as distinctive metabolomes (“metabolotypes”) through which drought tolerance might be mediated.
Collapse
|
35
|
Xiao J, Gu C, He S, Zhu D, Huang Y, Zhou Q. Widely targeted metabolomics analysis reveals new biomarkers and mechanistic insights on chestnut (Castanea mollissima Bl.) calcification process. Food Res Int 2021; 141:110128. [PMID: 33641995 DOI: 10.1016/j.foodres.2021.110128] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 11/20/2020] [Accepted: 01/06/2021] [Indexed: 12/19/2022]
Abstract
Chestnut calcification is a quality deterioration due to fast water loss, which has been of deep concern for chestnut quality control because its mechanism is unclear. In order to find out the different key metabolites and metabolic pathways related to the occurrence of chestnut calcification, in this study, liquid chromatography-tandem mass spectrometry (LC-MS/MS) based widely targeted metabolomics analysis was performed on chestnuts that were stored at 50%-55% (low relative humidity, LRH) at 25 °C and 85%-90% (high relative humidity, HRH) at 25 °C. A total of 611 metabolites were detected, and 55 differentially accumulated metabolites were identified as key metabolites involved in chestnut calcification process. The decrease in some monosaccharides accompanied with the increase in some unsaturated fatty acids indicated the degradation of chestnut cell wall and cell membrane during calcification process. As a stress response, amino acid metabolism related to membrane stability was significantly activated. In addition, the enhancement of phenylpropanoid biosynthesis pathway and flavonoid biosynthesis pathway characterized by the accumulation of lignin precursors and antioxidants suggested that lignification process was triggered in calcified chestnut. Therefore, the degradation and hardening of the cell wall and membrane damage were proposed to be associated with the calcification occurrence of chestnut. The metabolic profile of chestnut characterized in this study provided new insights into chestnut calcification process and laid a foundation for further chestnut quality control.
Collapse
Affiliation(s)
- Jiaqi Xiao
- Department of Food Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, PR China
| | - Caiqin Gu
- Department of Food Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, PR China.
| | - Shan He
- Department of Food Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, PR China; Institute for NanoScale Scale Science and Technology, College of Science and Engineering, Flinders University, Bedford Park 5042, Australia.
| | - Dongxue Zhu
- Department of Food Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, PR China
| | - Yukai Huang
- Department of Food Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, PR China
| | - Qiqin Zhou
- Department of Food Science, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, PR China
| |
Collapse
|
36
|
Rodrigues AM, Miguel C, Chaves I, António C. Mass spectrometry-based forest tree metabolomics. MASS SPECTROMETRY REVIEWS 2021; 40:126-157. [PMID: 31498921 DOI: 10.1002/mas.21603] [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: 03/07/2019] [Accepted: 08/05/2019] [Indexed: 05/24/2023]
Abstract
Research in forest tree species has advanced slowly when compared with other agricultural crops and model organisms, mainly due to the long-life cycles, large genome sizes, and lack of genomic tools. Additionally, trees are complex matrices, and the presence of interferents (e.g., oleoresins and cellulose) challenges the analysis of tree tissues with mass spectrometry (MS)-based analytical platforms. In this review, advances in MS-based forest tree metabolomics are discussed. Given their economic and ecological significance, particular focus is given to Pinus, Quercus, and Eucalyptus forest tree species to better understand their metabolite responses to abiotic and biotic stresses in the current climate change scenario. Furthermore, MS-based metabolomics technologies produce large and complex datasets that require expertize to adequately manage, process, analyze, and store the data in dedicated repositories. To ensure that the full potential of forest tree metabolomics data are translated into new knowledge, these data should comply with the FAIR principles (i.e., Findable, Accessible, Interoperable, and Re-usable). It is essential that adequate standards are implemented to annotate metadata from forest tree metabolomics studies as is already required by many science and governmental agencies and some major scientific publishers. © 2019 John Wiley & Sons Ltd. Mass Spec Rev 40:126-157, 2021.
Collapse
Affiliation(s)
- Ana Margarida Rodrigues
- Plant Metabolomics Laboratory, GreenIT-Bioresources for Sustainability, Instituto de Tecnologia Química e Biológica António Xavie, Universidade Nova de Lisboa (ITQB NOVA) Avenida da República, Oeiras, 2780-157, Portugal
| | - Célia Miguel
- Forest Genomics & Molecular Genetics Lab, BioISI-Biosystems & Integrative Sciences Institute, Faculty of Sciences, University of Lisboa, 1749-016, Lisboa, Portugal
- Instituto de Biologia Experimental e Tecnológica (iBET), 2780-157, Oeiras, Portugal
| | - Inês Chaves
- Forest Genomics & Molecular Genetics Lab, BioISI-Biosystems & Integrative Sciences Institute, Faculty of Sciences, University of Lisboa, 1749-016, Lisboa, Portugal
- Instituto de Biologia Experimental e Tecnológica (iBET), 2780-157, Oeiras, Portugal
| | - Carla António
- Plant Metabolomics Laboratory, GreenIT-Bioresources for Sustainability, Instituto de Tecnologia Química e Biológica António Xavie, Universidade Nova de Lisboa (ITQB NOVA) Avenida da República, Oeiras, 2780-157, Portugal
| |
Collapse
|
37
|
Xia Y, Chen W, Xiang W, Wang D, Xue B, Liu X, Xing L, Wu D, Wang S, Guo Q, Liang G. Integrated metabolic profiling and transcriptome analysis of pigment accumulation in Lonicera japonica flower petals during colour-transition. BMC PLANT BIOLOGY 2021; 21:98. [PMID: 33596836 PMCID: PMC7890969 DOI: 10.1186/s12870-021-02877-y] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 02/04/2021] [Indexed: 05/25/2023]
Abstract
BACKGROUND Plants have remarkable diversity in petal colour through the biosynthesis and accumulation of various pigments. To better understand the mechanisms regulating petal pigmentation in Lonicera japonica, we used multiple approaches to investigate the changes in carotenoids, anthocyanins, endogenous hormones and gene expression dynamics during petal colour transitions, i.e., green bud petals (GB_Pe), white flower petals (WF_Pe) and yellow flower petals (YF_Pe). RESULTS Metabolome analysis showed that YF_Pe contained a much higher content of carotenoids than GB_Pe and WF_Pe, with α-carotene, zeaxanthin, violaxanthin and γ-carotene identified as the major carotenoid compounds in YF_Pe. Comparative transcriptome analysis revealed that the key differentially expressed genes (DEGs) involved in carotenoid biosynthesis, such as phytoene synthase, phytoene desaturase and ζ-carotene desaturase, were significantly upregulated in YF_Pe. The results indicated that upregulated carotenoid concentrations and carotenoid biosynthesis-related genes predominantly promote colour transition. Meanwhile, two anthocyanins (pelargonidin and cyanidin) were significantly increased in YF_Pe, and the expression level of an anthocyanidin synthase gene was significantly upregulated, suggesting that anthocyanins may contribute to vivid yellow colour in YF_Pe. Furthermore, analyses of changes in indoleacetic acid, zeatin riboside, gibberellic acid, brassinosteroid (BR), methyl jasmonate and abscisic acid (ABA) levels indicated that colour transitions are regulated by endogenous hormones. The DEGs involved in the auxin, cytokinin, gibberellin, BR, jasmonic acid and ABA signalling pathways were enriched and associated with petal colour transitions. CONCLUSION Our results provide global insight into the pigment accumulation and the regulatory mechanisms underlying petal colour transitions during the flower development process in L. japonica.
Collapse
Affiliation(s)
- Yan Xia
- Key Laboratory of Horticulture Science for Southern Mountains Regions of Ministry of Education; College of Horticulture and Landscape Architecture, Southwest University, Chongqing, 400715, China
- Academy of Agricultural Sciences of Southwest University, State Cultivation Base of Crop Stress Biology for Southern Mountainous Land of Southwest University, Chongqing, 400715, China
| | - Weiwei Chen
- Key Laboratory of Horticulture Science for Southern Mountains Regions of Ministry of Education; College of Horticulture and Landscape Architecture, Southwest University, Chongqing, 400715, China
- Henan International Joint Laboratory of Crop Gene Resources and Improvement, School of Agricultural Sciences, Zhengzhou University, Zhengzhou, 450001, Henan, China
| | - Weibo Xiang
- Rare Plant Research Institute of the Yangtze River (Yichang); Institute of Science and Technology, China Three Gorges Corporation, Beijing, 100083, China
| | - Dan Wang
- Key Laboratory of Horticulture Science for Southern Mountains Regions of Ministry of Education; College of Horticulture and Landscape Architecture, Southwest University, Chongqing, 400715, China
- Academy of Agricultural Sciences of Southwest University, State Cultivation Base of Crop Stress Biology for Southern Mountainous Land of Southwest University, Chongqing, 400715, China
| | - Baogui Xue
- Key Laboratory of Horticulture Science for Southern Mountains Regions of Ministry of Education; College of Horticulture and Landscape Architecture, Southwest University, Chongqing, 400715, China
- Academy of Agricultural Sciences of Southwest University, State Cultivation Base of Crop Stress Biology for Southern Mountainous Land of Southwest University, Chongqing, 400715, China
| | - Xinya Liu
- Key Laboratory of Horticulture Science for Southern Mountains Regions of Ministry of Education; College of Horticulture and Landscape Architecture, Southwest University, Chongqing, 400715, China
- Academy of Agricultural Sciences of Southwest University, State Cultivation Base of Crop Stress Biology for Southern Mountainous Land of Southwest University, Chongqing, 400715, China
| | - Lehua Xing
- Key Laboratory of Horticulture Science for Southern Mountains Regions of Ministry of Education; College of Horticulture and Landscape Architecture, Southwest University, Chongqing, 400715, China
- Academy of Agricultural Sciences of Southwest University, State Cultivation Base of Crop Stress Biology for Southern Mountainous Land of Southwest University, Chongqing, 400715, China
| | - Di Wu
- Key Laboratory of Horticulture Science for Southern Mountains Regions of Ministry of Education; College of Horticulture and Landscape Architecture, Southwest University, Chongqing, 400715, China
- Academy of Agricultural Sciences of Southwest University, State Cultivation Base of Crop Stress Biology for Southern Mountainous Land of Southwest University, Chongqing, 400715, China
| | - Shuming Wang
- Key Laboratory of Horticulture Science for Southern Mountains Regions of Ministry of Education; College of Horticulture and Landscape Architecture, Southwest University, Chongqing, 400715, China
- Academy of Agricultural Sciences of Southwest University, State Cultivation Base of Crop Stress Biology for Southern Mountainous Land of Southwest University, Chongqing, 400715, China
| | - Qigao Guo
- Key Laboratory of Horticulture Science for Southern Mountains Regions of Ministry of Education; College of Horticulture and Landscape Architecture, Southwest University, Chongqing, 400715, China.
- Academy of Agricultural Sciences of Southwest University, State Cultivation Base of Crop Stress Biology for Southern Mountainous Land of Southwest University, Chongqing, 400715, China.
| | - Guolu Liang
- Key Laboratory of Horticulture Science for Southern Mountains Regions of Ministry of Education; College of Horticulture and Landscape Architecture, Southwest University, Chongqing, 400715, China.
- Academy of Agricultural Sciences of Southwest University, State Cultivation Base of Crop Stress Biology for Southern Mountainous Land of Southwest University, Chongqing, 400715, China.
| |
Collapse
|
38
|
Sabtu SN, Sani SFA, Looi LM, Chiew SF, Pathmanathan D, Bradley DA, Osman Z. Indication of high lipid content in epithelial-mesenchymal transitions of breast tissues. Sci Rep 2021; 11:3250. [PMID: 33547362 PMCID: PMC7864999 DOI: 10.1038/s41598-021-81426-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Accepted: 12/21/2020] [Indexed: 02/06/2023] Open
Abstract
The epithelial-mesenchymal transition (EMT) is a crucial process in cancer progression and metastasis. Study of metabolic changes during the EMT process is important in seeking to understand the biochemical changes associated with cancer progression, not least in scoping for therapeutic strategies aimed at targeting EMT. Due to the potential for high sensitivity and specificity, Raman spectroscopy was used here to study the metabolic changes associated with EMT in human breast cancer tissue. For Raman spectroscopy measurements, tissue from 23 patients were collected, comprising non-lesional, EMT and non-EMT formalin-fixed and paraffin embedded breast cancer samples. Analysis was made in the fingerprint Raman spectra region (600-1800 cm-1) best associated with cancer progression biochemical changes in lipid, protein and nucleic acids. The ANOVA test followed by the Tukey's multiple comparisons test were conducted to see if there existed differences between non-lesional, EMT and non-EMT breast tissue for Raman spectroscopy measurements. Results revealed that significant differences were evident in terms of intensity between the non-lesional and EMT samples, as well as the EMT and non-EMT samples. Multivariate analysis involving independent component analysis, Principal component analysis and non-negative least square were used to analyse the Raman spectra data. The results show significant differences between EMT and non-EMT cancers in lipid, protein, and nucleic acids. This study demonstrated the capability of Raman spectroscopy supported by multivariate analysis in analysing metabolic changes in EMT breast cancer tissue.
Collapse
Affiliation(s)
- Siti Norbaini Sabtu
- Department of Physics, Faculty of Science, University of Malaya, 50603, Kuala Lumpur, Malaysia
| | - S F Abdul Sani
- Department of Physics, Faculty of Science, University of Malaya, 50603, Kuala Lumpur, Malaysia.
| | - L M Looi
- Department of Pathology, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia
| | - S F Chiew
- Department of Pathology, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia
| | - Dharini Pathmanathan
- Institute of Mathematical Sciences, Faculty of Science, University of Malaya, 50603, Kuala Lumpur, Malaysia
| | - D A Bradley
- Centre for Biomedical Physics, Sunway University, Jalan Universiti, 46150, Petaling Jaya, Malaysia
- Department of Physics, University of Surrey, Guildford, GU2 7XH, UK
| | - Z Osman
- Department of Physics, Faculty of Science, University of Malaya, 50603, Kuala Lumpur, Malaysia
| |
Collapse
|
39
|
Martins MCM, Mafra V, Monte-Bello CC, Caldana C. The Contribution of Metabolomics to Systems Biology: Current Applications Bridging Genotype and Phenotype in Plant Science. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1346:91-105. [DOI: 10.1007/978-3-030-80352-0_5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
|
40
|
María Hernández-Domínguez E, Sofía Castillo-Ortega L, García-Esquivel Y, Mandujano-González V, Díaz-Godínez G, Álvarez-Cervantes J. Bioinformatics as a Tool for the Structural and Evolutionary Analysis of Proteins. Comput Biol Chem 2020. [DOI: 10.5772/intechopen.89594] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
This chapter deals with the topic of bioinformatics, computational, mathematics, and statistics tools applied to biology, essential for the analysis and characterization of biological molecules, in particular proteins, which play an important role in all cellular and evolutionary processes of the organisms. In recent decades, with the next generation sequencing technologies and bioinformatics, it has facilitated the collection and analysis of a large amount of genomic, transcriptomic, proteomic, and metabolomic data from different organisms that have allowed predictions on the regulation of expression, transcription, translation, structure, and mechanisms of action of proteins as well as homology, mutations, and evolutionary processes that generate structural and functional changes over time. Although the information in the databases is greater every day, all bioinformatics tools continue to be constantly modified to improve performance that leads to more accurate predictions regarding protein functionality, which is why bioinformatics research remains a great challenge.
Collapse
|
41
|
Hou XW, Wang Y, Pan CW. Metabolomics in Age-Related Macular Degeneration: A Systematic Review. Invest Ophthalmol Vis Sci 2020; 61:13. [PMID: 33315052 PMCID: PMC7735950 DOI: 10.1167/iovs.61.14.13] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 11/25/2020] [Indexed: 12/22/2022] Open
Abstract
Purpose Age-related macular degeneration (AMD) is one of the leading causes of blindness among the elderly, and the exact pathogenesis of the AMD remains unclear. The purpose of this review is to summarize potential metabolic biomarkers and pathways of AMD that might facilitate risk predictions and clinical diagnoses of AMD. Methods We obtained relevant publications of metabolomics studies of human beings by systematically searching the MEDLINE (PubMed) database before June 2020. Studies were included if they performed mass spectrometry-based or nuclear magnetic resonance-based metabolomics approach for humans. In addition, AMD was assessed from fundus photographs based on standardized protocols. The metabolic pathway analysis was performed using MetaboAnalyst 3.0. Results Thirteen studies were included in this review. Repeatedly identified metabolites including phenylalanine, adenosine, hypoxanthine, tyrosine, creatine, citrate, carnitine, proline, and maltose have the possibility of being biomarkers of AMD. Validation of the biomarker panels was observed in one study. Dysregulation of metabolic pathways involves lipid metabolism, carbohydrate metabolism, nucleotide metabolism, amino acid metabolism, and translation, which might play important roles in the development and progression of AMD. Conclusions This review summarizes the potential metabolic biomarkers and pathways related to AMD, providing opportunities for the construction of diagnostic or predictive models for AMD and the discovery of new therapeutic targets.
Collapse
Affiliation(s)
- Xiao-Wen Hou
- School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Ying Wang
- School of Public Health, Medical College of Soochow University, Suzhou, China
| | - Chen-Wei Pan
- School of Public Health, Medical College of Soochow University, Suzhou, China
| |
Collapse
|
42
|
Dong Y, Sonawane P, Cohen H, Polturak G, Feldberg L, Avivi SH, Rogachev I, Aharoni A. High mass resolution, spatial metabolite mapping enhances the current plant gene and pathway discovery toolbox. THE NEW PHYTOLOGIST 2020; 228:1986-2002. [PMID: 32654288 DOI: 10.1111/nph.16809] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Accepted: 07/06/2020] [Indexed: 05/21/2023]
Abstract
Understanding when and where metabolites accumulate provides important cues to the gene function. Mass spectrometry imaging (MSI) enables in situ temporal and spatial measurement of a large assortment of metabolites, providing mapping information regarding their cellular distribution. To describe the current state and technical advances using MSI in plant sciences, we employed MSI to demonstrate its significant contribution to the study of plant specialised metabolism. We show that coupling MSI with: (1) RNA interference (RNAi), (2) virus induced gene silencing (VIGS), (3) agroinfiltration or (4) samples derived from plant natural variation provides great opportunities to understand the accurate gene-metabolite relationship and discover novel gene-associated metabolites. This was exemplified in three plant species (i.e. tomato, tobacco and wheat) by mapping the distribution of metabolites possessing a range of polarities. In particular, we demonstrated that MSI is able to spatially map an entire metabolic pathway, including intermediates and final products, in the intricate biosynthetic route to tomato fruit steroidal glycoalkaloids. We therefore envisage MSI as a key component of the metabolome analysis arsenal employed in plant gene discovery strategies.
Collapse
Affiliation(s)
- Yonghui Dong
- Department of Plant Sciences, Weizmann Institute of Science, Rehovot, 761001, Israel
| | - Prashant Sonawane
- Department of Plant Sciences, Weizmann Institute of Science, Rehovot, 761001, Israel
| | - Hagai Cohen
- Department of Plant Sciences, Weizmann Institute of Science, Rehovot, 761001, Israel
| | - Guy Polturak
- Department of Plant Sciences, Weizmann Institute of Science, Rehovot, 761001, Israel
| | - Liron Feldberg
- Department of Analytical Chemistry, Israel Institute for Biological Research, Ness Ziona, 7410001, Israel
| | - Shelly Hen Avivi
- Department of Plant Sciences, Weizmann Institute of Science, Rehovot, 761001, Israel
| | - Ilana Rogachev
- Department of Plant Sciences, Weizmann Institute of Science, Rehovot, 761001, Israel
| | - Asaph Aharoni
- Department of Plant Sciences, Weizmann Institute of Science, Rehovot, 761001, Israel
| |
Collapse
|
43
|
Bjedov I, Cochemé HM, Foley A, Wieser D, Woodling NS, Castillo-Quan JI, Norvaisas P, Lujan C, Regan JC, Toivonen JM, Murphy MP, Thornton J, Kinghorn KJ, Neufeld TP, Cabreiro F, Partridge L. Fine-tuning autophagy maximises lifespan and is associated with changes in mitochondrial gene expression in Drosophila. PLoS Genet 2020; 16:e1009083. [PMID: 33253201 PMCID: PMC7738165 DOI: 10.1371/journal.pgen.1009083] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2019] [Revised: 12/15/2020] [Accepted: 08/26/2020] [Indexed: 01/26/2023] Open
Abstract
Increased cellular degradation by autophagy is a feature of many interventions that delay ageing. We report here that increased autophagy is necessary for reduced insulin-like signalling (IIS) to extend lifespan in Drosophila and is sufficient on its own to increase lifespan. We first established that the well-characterised lifespan extension associated with deletion of the insulin receptor substrate chico was completely abrogated by downregulation of the essential autophagy gene Atg5. We next directly induced autophagy by over-expressing the major autophagy kinase Atg1 and found that a mild increase in autophagy extended lifespan. Interestingly, strong Atg1 up-regulation was detrimental to lifespan. Transcriptomic and metabolomic approaches identified specific signatures mediated by varying levels of autophagy in flies. Transcriptional upregulation of mitochondrial-related genes was the signature most specifically associated with mild Atg1 upregulation and extended lifespan, whereas short-lived flies, possessing strong Atg1 overexpression, showed reduced mitochondrial metabolism and up-regulated immune system pathways. Increased proteasomal activity and reduced triacylglycerol levels were features shared by both moderate and high Atg1 overexpression conditions. These contrasting effects of autophagy on ageing and differential metabolic profiles highlight the importance of fine-tuning autophagy levels to achieve optimal healthspan and disease prevention.
Collapse
Affiliation(s)
- Ivana Bjedov
- Institute of Healthy Ageing, Research Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
- UCL Cancer Institute, Paul O'Gorman Building, London United Kingdom
- Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - Helena M. Cochemé
- Institute of Healthy Ageing, Research Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
- Max Planck Institute for Biology of Ageing, Cologne, Germany
- MRC London Institute of Medical Sciences, Imperial College London, Du Cane Road, London, United Kingdom
| | - Andrea Foley
- Institute of Healthy Ageing, Research Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
- MRC London Institute of Medical Sciences, Imperial College London, Du Cane Road, London, United Kingdom
| | - Daniela Wieser
- EMBL European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Nathaniel S. Woodling
- Institute of Healthy Ageing, Research Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
| | - Jorge Iván Castillo-Quan
- Institute of Healthy Ageing, Research Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
- Max Planck Institute for Biology of Ageing, Cologne, Germany
- Section on Islet Cell and Regenerative Biology, Research Division, Joslin Diabetes Center, Boston MA, United States of America
- Department of Genetics and Harvard Stem Cell Institute, Harvard Medical School, Boston MA, United States of America
| | - Povilas Norvaisas
- Institute of Structural and Molecular Biology, University College London, London, United Kingdom
| | - Celia Lujan
- UCL Cancer Institute, Paul O'Gorman Building, London United Kingdom
| | - Jennifer C. Regan
- Institute of Healthy Ageing, Research Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
- Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - Janne M. Toivonen
- Institute of Healthy Ageing, Research Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
- LAGENBIO, Facultad de Veterinaria-IIS, IA2-CITA, CIBERNED, Universidad de Zaragoza, Zaragoza, Spain
| | - Michael P. Murphy
- MRC Mitochondrial Biology Unit, the Keith Peters Building, University of Cambridge, Cambridge, United Kingdom
| | - Janet Thornton
- EMBL European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Kerri J. Kinghorn
- Institute of Healthy Ageing, Research Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
| | - Thomas P. Neufeld
- Department of Genetics, Cell Biology and Development, University of Minnesota, 321 Church St. SE, Minneapolis, MN, United States of America
| | - Filipe Cabreiro
- MRC London Institute of Medical Sciences, Imperial College London, Du Cane Road, London, United Kingdom
- Institute of Structural and Molecular Biology, University College London, London, United Kingdom
| | - Linda Partridge
- Institute of Healthy Ageing, Research Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
- Max Planck Institute for Biology of Ageing, Cologne, Germany
| |
Collapse
|
44
|
Iacovacci J, Peluso A, Ebbels T, Ralser M, Glen RC. Extraction and Integration of Genetic Networks from Short-Profile Omic Data Sets. Metabolites 2020; 10:metabo10110435. [PMID: 33137869 PMCID: PMC7693762 DOI: 10.3390/metabo10110435] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 10/13/2020] [Accepted: 10/23/2020] [Indexed: 01/29/2023] Open
Abstract
Mass spectrometry technologies are widely used in the fields of ionomics and metabolomics to simultaneously profile the intracellular concentrations of, e.g., amino acids or elements in genome-wide mutant libraries. These molecular or sub-molecular features are generally non-Gaussian and their covariance reveals patterns of correlations that reflect the system nature of the cell biochemistry and biology. Here, we introduce two similarity measures, the Mahalanobis cosine and the hybrid Mahalanobis cosine, that enforce information from the empirical covariance matrix of omics data from high-throughput screening and that can be used to quantify similarities between the profiled features of different mutants. We evaluate the performance of these similarity measures in the task of inferring and integrating genetic networks from short-profile ionomics/metabolomics data through an analysis of experimental data sets related to the ionome and the metabolome of the model organism S. cerevisiae. The study of the resulting ionome–metabolome Saccharomyces cerevisiae multilayer genetic network, which encodes multiple omic-specific levels of correlations between genes, shows that the proposed measures can provide an alternative description of relations between biological processes when compared to the commonly used Pearson’s correlation coefficient and have the potential to guide the construction of novel hypotheses on the function of uncharacterised genes.
Collapse
Affiliation(s)
- Jacopo Iacovacci
- Department of Metabolism, Digestion, and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK; (A.P.); (T.E.)
- The Molecular Biology of Metabolism Laboratory, The Francis Crick Institute, London NW1 1AT, UK;
- Correspondence: (J.I.); (R.C.G.)
| | - Alina Peluso
- Department of Metabolism, Digestion, and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK; (A.P.); (T.E.)
- The Molecular Biology of Metabolism Laboratory, The Francis Crick Institute, London NW1 1AT, UK;
| | - Timothy Ebbels
- Department of Metabolism, Digestion, and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK; (A.P.); (T.E.)
| | - Markus Ralser
- The Molecular Biology of Metabolism Laboratory, The Francis Crick Institute, London NW1 1AT, UK;
- Charité, Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Robert C. Glen
- Department of Metabolism, Digestion, and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK; (A.P.); (T.E.)
- Centre for Molecular Informatics, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB21EW, UK
- Correspondence: (J.I.); (R.C.G.)
| |
Collapse
|
45
|
Seneviratne CJ, Suriyanarayanan T, Widyarman AS, Lee LS, Lau M, Ching J, Delaney C, Ramage G. Multi-omics tools for studying microbial biofilms: current perspectives and future directions. Crit Rev Microbiol 2020; 46:759-778. [PMID: 33030973 DOI: 10.1080/1040841x.2020.1828817] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The advent of omics technologies has greatly improved our understanding of microbial biology, particularly in the last two decades. The field of microbial biofilms is, however, relatively new, consolidated in the 1980s. The morphogenic switching by microbes from planktonic to biofilm phenotype confers numerous survival advantages such as resistance to desiccation, antibiotics, biocides, ultraviolet radiation, and host immune responses, thereby complicating treatment strategies for pathogenic microorganisms. Hence, understanding the mechanisms governing the biofilm phenotype can result in efficient treatment strategies directed specifically against molecular markers mediating this process. The application of omics technologies for studying microbial biofilms is relatively less explored and holds great promise in furthering our understanding of biofilm biology. In this review, we provide an overview of the application of omics tools such as transcriptomics, proteomics, and metabolomics as well as multi-omics approaches for studying microbial biofilms in the current literature. We also highlight how the use of omics tools directed at various stages of the biological information flow, from genes to metabolites, can be integrated via multi-omics platforms to provide a holistic view of biofilm biology. Following this, we propose a future artificial intelligence-based multi-omics platform that can predict the pathways associated with different biofilm phenotypes.
Collapse
Affiliation(s)
- Chaminda J Seneviratne
- Singapore Oral Microbiomics Initiative (SOMI), National Dental Research Institute Singapore, National Dental Centre, Singapore, Singapore.,Duke NUS Medical School, Singapore, Singapore
| | - Tanujaa Suriyanarayanan
- Singapore Oral Microbiomics Initiative (SOMI), National Dental Research Institute Singapore, National Dental Centre, Singapore, Singapore.,Duke NUS Medical School, Singapore, Singapore
| | - Armelia Sari Widyarman
- Department of Microbiology, Faculty of Dentistry, Trisakti University, Grogol, West Jakarta, Indonesia
| | - Lye Siang Lee
- Duke-NUS Medical School, Metabolomics Lab, Cardiovascular and Metabolic Disorders, Singapore, Singapore
| | - Matthew Lau
- Singapore Oral Microbiomics Initiative (SOMI), National Dental Research Institute Singapore, National Dental Centre, Singapore, Singapore
| | - Jianhong Ching
- Duke-NUS Medical School, Metabolomics Lab, Cardiovascular and Metabolic Disorders, Singapore, Singapore
| | - Christopher Delaney
- School of Medicine, Dentistry & Nursing, Glasgow Dental Hospital & School, University of Glasgow, Glasgow, UK
| | - Gordon Ramage
- School of Medicine, Dentistry & Nursing, Glasgow Dental Hospital & School, University of Glasgow, Glasgow, UK
| |
Collapse
|
46
|
Fraga-Corral M, Carpena M, Garcia-Oliveira P, Pereira AG, Prieto MA, Simal-Gandara J. Analytical Metabolomics and Applications in Health, Environmental and Food Science. Crit Rev Anal Chem 2020; 52:712-734. [DOI: 10.1080/10408347.2020.1823811] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- M. Fraga-Corral
- Nutrition and Bromatology Group, Department of Analytical and Food Chemistry, Faculty of Food Science and Technology, University of Vigo, Ourense, Spain
- Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança, Bragança, Portugal
| | - M. Carpena
- Nutrition and Bromatology Group, Department of Analytical and Food Chemistry, Faculty of Food Science and Technology, University of Vigo, Ourense, Spain
| | - P. Garcia-Oliveira
- Nutrition and Bromatology Group, Department of Analytical and Food Chemistry, Faculty of Food Science and Technology, University of Vigo, Ourense, Spain
- Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança, Bragança, Portugal
| | - A. G. Pereira
- Nutrition and Bromatology Group, Department of Analytical and Food Chemistry, Faculty of Food Science and Technology, University of Vigo, Ourense, Spain
- Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança, Bragança, Portugal
| | - M. A. Prieto
- Nutrition and Bromatology Group, Department of Analytical and Food Chemistry, Faculty of Food Science and Technology, University of Vigo, Ourense, Spain
| | - J. Simal-Gandara
- Nutrition and Bromatology Group, Department of Analytical and Food Chemistry, Faculty of Food Science and Technology, University of Vigo, Ourense, Spain
| |
Collapse
|
47
|
|
48
|
Hyeon H, Xu JL, Kim JK, Choi Y. Comparative metabolic profiling of cultivated and wild black soybeans reveals distinct metabolic alterations associated with their domestication. Food Res Int 2020; 134:109290. [PMID: 32517920 DOI: 10.1016/j.foodres.2020.109290] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Revised: 04/15/2020] [Accepted: 05/01/2020] [Indexed: 12/26/2022]
Abstract
Generally, cultivated black soybean (CBS) has been used as a major source of various nutrients for humans and animals. To assess the metabolic alterations induced by domestication in soybean, we performed a comprehensive metabolite profiling of 56 soybean varieties, including 28 CBS and 28 wild black soybean (WBS) varieties. A total of 48 metabolites were characterized, including 45 primary and 3 secondary metabolites, from CBS and WBS. The results of principal component analysis and hierarchical cluster analysis (HCA) revealed significant metabolic differences between CBS and WBS that were closely related to metabolic pathways. The results indicate that flavonoids correlated positively with phenylalanine, a precursor for phenylpropanoid biosynthesis; the contents of flavonoids and phenylpropanoids were higher in WBS. Pathway analysis revealed that CBS contained large amounts of TCA cycle intermediates, amino acids, and fatty acids as a result of increased energy metabolism, amino acid metabolism, and seed filling. The projection to latent structure method, using the partial least squares method, was applied to predict the flavonoid content in soybean seed, which indicated that sucrose, threonic acid, citric acid, and fatty acids are important in predicting the antioxidant content of samples. This work will provide important information for designing new soybean cultivars with enhanced nutritional and agricultural traits.
Collapse
Affiliation(s)
- Hyejin Hyeon
- Division of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon 22012, Republic of Korea
| | - Jiu Liang Xu
- Natural Product Research Center, Korea Institute of Science and Technology (KIST), Gangneung 25451, Republic of Korea; College of Resources and Environmental Sciences; National Academy of Agriculture Green Development; School of Agriculture Green Development, China Agricultural University, 100193 Beijing, China
| | - Jae Kwang Kim
- Division of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon 22012, Republic of Korea.
| | - Yongsoo Choi
- Natural Product Research Center, Korea Institute of Science and Technology (KIST), Gangneung 25451, Republic of Korea; Department of Biological Chemistry, University of Science and Technology, Youseng-gu, Daejeon 305-350, Republic of Korea.
| |
Collapse
|
49
|
Drapal M, Ovalle Rivera TM, Becerra Lopez-Lavalle LA, Fraser PD. Exploring the chemotypes underlying important agronomic and consumer traits in cassava (Manihot esculenta crantz). JOURNAL OF PLANT PHYSIOLOGY 2020; 251:153206. [PMID: 32512382 DOI: 10.1016/j.jplph.2020.153206] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 05/15/2020] [Accepted: 05/18/2020] [Indexed: 05/26/2023]
Abstract
A broad diversity of phenotypes are available within the cassava germplasm collections. The phenotypes include improved nutritional, starch or culinary root quality as well as abiotic and biotic resistance properties. Some of these traits can be found naturally occurring in cassava landraces, whereas others are the result of targeted breeding efforts. For future breeding programmes it is important to know the underlying mechanisms of these desirable traits. Metabolomics can assist in the elucidation of these mechanisms by measuring the end products of the cellular processes conferring the traits of interest. The present study focused on the comparison of two or more variants of the same trait such as high and low culinary quality or resistance and susceptibility to thrips. Overall, eight different traits were assessed. Results showed that amino acids and umami compounds were associated with superior culinary attributes and the phenylpropanoid superpathway plays an important role in pest resistance. Furthermore, the data highlighted a low chemodiversity in African cassavas and that the source-sink relation was still active at the harvest stage.
Collapse
Affiliation(s)
- Margit Drapal
- School of Biological Sciences, Royal Holloway, University of London, Egham Hill, Egham, Surrey, TW20 0EX, UK
| | | | | | - Paul D Fraser
- School of Biological Sciences, Royal Holloway, University of London, Egham Hill, Egham, Surrey, TW20 0EX, UK.
| |
Collapse
|
50
|
Ntontsi P, Ntzoumanika V, Loukides S, Benaki D, Gkikas E, Mikros E, Bakakos P. EBC metabolomics for asthma severity. J Breath Res 2020; 14:036007. [PMID: 32392552 DOI: 10.1088/1752-7163/ab9220] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Asthma is a heterogeneous disease with diverse severity and represents a considerable socio-economic burden. Exhaled Breath Condensate (EBC) is a biofluid directly obtained from the airway lining fluid non-invasively. We attempted to discriminate severe from mild-to-moderate asthma using EBC metabolomics based on both NMR and UHPLC-MS techniques. 36 patients were included in this study (15 patients with severe and 21 with mild-to-moderate asthma). EBC was collected and analyzed using both NMR and UHPLC-MS techniques for possible metabolites. Using PLS and oPLS analysis for the UHPLC-MS data, no metabolite was found to be sufficient for the discrimination of asthma severity. However, when another PLS-regression model was applied five metabolites were found to discriminate severe from mild-to-moderate asthma. Amino-acid lysine was the only metabolite that discriminated the two study groups using NMR data (p= 0.04, t-test with Welch's correction, AUC 0.66). EBC is an easily available biofluid which directly represents the lower airways but difficult-to-use for metabolomic analysis. Our study presents some encouraging findings for the discrimination of asthma severity subgroups using EBC metabolomics but more well-designed studies with a higher number of patients need to be conducted.
Collapse
Affiliation(s)
- P Ntontsi
- 2nd Respiratory Medicine Department, Attikon University Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece
| | | | | | | | | | | | | |
Collapse
|