1
|
Liu S, Zhou Y, Feng Y, Peng Q, Li Y, He C, Fang Z, Xiao Y, Fang W. A cost-saving, safe, and highly efficient natural mediator for laccase application on aflatoxin detoxification. Food Chem 2024; 455:139862. [PMID: 38833866 DOI: 10.1016/j.foodchem.2024.139862] [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: 02/19/2024] [Revised: 05/14/2024] [Accepted: 05/26/2024] [Indexed: 06/06/2024]
Abstract
Laccase mediators possess advantage of oxidizing substrates with high redox potentials, such as aflatoxin B1 (AFB1). High costs of chemically synthesized mediators limit laccase industrial application. In this study, thin stillage extract (TSE), a byproduct of corn-based ethanol fermentation was investigated as the potential natural mediator of laccases. Ferulic acid, p-coumaric acid, and vanillic acid were identified as the predominant phenolic compounds of TSE. With the assistance of 0.05 mM TSE, AFB1 degradation activity of novel laccase Glac1 increased by 17 times. The promoting efficiency of TSE was similar to ferulic acid, but superior to vanillic acid and p-coumaric acid, with 1.2- and 1.3-fold increases, respectively. After Glac1-TSE treatment, two oxidation products were identified. Ames test showed AFB1 degradation products lost mutagenicity. Meanwhile, TSE also showed 1.3-3.0 times promoting effect on laccase degradation activity in cereal flours. Collectively, a safe and highly efficient natural mediator was obtained for aflatoxin detoxification.
Collapse
Affiliation(s)
- Shenglong Liu
- School of Life Sciences, Anhui University, Hefei, Anhui 230601, China; Anhui Key Laboratory of Biocatalysis and Modern Biomanufacturing, Hefei, Anhui 230601, China; Anhui Provincial Engineering Technology Research Center of Microorganisms and Biocatalysis, Hefei, Anhui 230601, China
| | - Yu Zhou
- Key Laboratory of Jianghuai Agricultural product Fine processing and resource Utilization, Ministry of Agriculture and Rural Affairs, Anhui Agricultural University, 130 Changjiang Road West, Hefei 230036, China
| | - Yan Feng
- School of Life Sciences, Anhui University, Hefei, Anhui 230601, China; Anhui Key Laboratory of Biocatalysis and Modern Biomanufacturing, Hefei, Anhui 230601, China; Anhui Provincial Engineering Technology Research Center of Microorganisms and Biocatalysis, Hefei, Anhui 230601, China
| | - Qixia Peng
- School of Life Sciences, Anhui University, Hefei, Anhui 230601, China; Anhui Key Laboratory of Biocatalysis and Modern Biomanufacturing, Hefei, Anhui 230601, China; Anhui Provincial Engineering Technology Research Center of Microorganisms and Biocatalysis, Hefei, Anhui 230601, China
| | - Yurong Li
- School of Life Sciences, Anhui University, Hefei, Anhui 230601, China; Anhui Key Laboratory of Biocatalysis and Modern Biomanufacturing, Hefei, Anhui 230601, China; Anhui Provincial Engineering Technology Research Center of Microorganisms and Biocatalysis, Hefei, Anhui 230601, China
| | - Cheng He
- School of Life Sciences, Anhui University, Hefei, Anhui 230601, China; Anhui Key Laboratory of Biocatalysis and Modern Biomanufacturing, Hefei, Anhui 230601, China; Anhui Provincial Engineering Technology Research Center of Microorganisms and Biocatalysis, Hefei, Anhui 230601, China
| | - Zemin Fang
- School of Life Sciences, Anhui University, Hefei, Anhui 230601, China; Anhui Key Laboratory of Biocatalysis and Modern Biomanufacturing, Hefei, Anhui 230601, China; Anhui Provincial Engineering Technology Research Center of Microorganisms and Biocatalysis, Hefei, Anhui 230601, China
| | - Yazhong Xiao
- School of Life Sciences, Anhui University, Hefei, Anhui 230601, China; Anhui Key Laboratory of Biocatalysis and Modern Biomanufacturing, Hefei, Anhui 230601, China; Anhui Provincial Engineering Technology Research Center of Microorganisms and Biocatalysis, Hefei, Anhui 230601, China.
| | - Wei Fang
- School of Life Sciences, Anhui University, Hefei, Anhui 230601, China; Anhui Key Laboratory of Biocatalysis and Modern Biomanufacturing, Hefei, Anhui 230601, China; Anhui Provincial Engineering Technology Research Center of Microorganisms and Biocatalysis, Hefei, Anhui 230601, China.
| |
Collapse
|
2
|
Mleziva AD, Ngumbi EN. Comparative analysis of defensive secondary metabolites in wild teosinte and cultivated maize under flooding and herbivory stress. PHYSIOLOGIA PLANTARUM 2024; 176:e14216. [PMID: 38366721 DOI: 10.1111/ppl.14216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 01/26/2024] [Accepted: 02/03/2024] [Indexed: 02/18/2024]
Abstract
Climate change is driving an alarming increase in the frequency and intensity of abiotic and biotic stress factors, negatively impacting plant development and agricultural productivity. To survive, plants respond by inducing changes in below and aboveground metabolism with concomitant alterations in defensive secondary metabolites. While plant responses to the isolated stresses of flooding and insect herbivory have been extensively studied, much less is known about their response in combination. Wild relatives of cultivated plants with robust stress tolerance traits provide an excellent system for comparing how diverse plant species respond to combinatorial stress, and provide insight into potential germplasms for stress-tolerant hybrids. In this study, we compared the below and aboveground changes in the secondary metabolites of maize (Zea mays) and a flood-tolerant wild relative Nicaraguan teosinte (Zea nicaraguensis) in response to flooding, insect herbivory, and their combination. Root tissue was analyzed for changes in belowground metabolism. Leaf total phenolic content and headspace volatile organic compound emission were analyzed for changes in aboveground secondary metabolism. Results revealed significant differences in the root metabolome profiles of teosinte and maize. Notably, the accumulation of the flavonoids apigenin, naringenin, and luteolin during flooding and herbivory differentiated teosinte from maize. Aboveground, terpenes, including trans-α-bergamotene and (E)-4,8-dimethylnona-1,3,7-triene, shaped compositional differences in their volatile profiles between flooding, herbivory, and their combination. Taken together, these results suggest teosinte may be more tolerant than maize due to dynamic metabolic changes during flooding and herbivory that help relieve stress and influence plant-insect interactions.
Collapse
Affiliation(s)
- Aaron D Mleziva
- Department of Entomology, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Esther N Ngumbi
- Department of Entomology, University of Illinois Urbana-Champaign, Urbana, IL, USA
| |
Collapse
|
6
|
Li K, Wen W, Alseekh S, Yang X, Guo H, Li W, Wang L, Pan Q, Zhan W, Liu J, Li Y, Wu X, Brotman Y, Willmitzer L, Li J, Fernie AR, Yan J. Large-scale metabolite quantitative trait locus analysis provides new insights for high-quality maize improvement. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2019; 99:216-230. [PMID: 30888713 DOI: 10.1111/tpj.14317] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2018] [Revised: 02/27/2019] [Accepted: 03/11/2019] [Indexed: 06/09/2023]
Abstract
It is generally recognized that many favorable genes which were lost during domestication, including those related to both nutritional value and stress resistance, remain hidden in wild relatives. To uncover such genes in teosinte, an ancestor of maize, we conducted metabolite profiling in a BC2 F7 population generated from a cross between the maize wild relative (Zea mays ssp. mexicana) and maize inbred line Mo17. In total, 65 primary metabolites were quantified in four tissues (seedling-stage leaf, grouting-stage leaf, young kernel and mature kernel) with clear tissue-specific patterns emerging. Three hundred and fifty quantitative trait loci (QTLs) for these metabolites were obtained, which were distributed unevenly across the genome and included two QTL hotspots. Metabolite concentrations frequently increased in the presence of alleles from the teosinte genome while the opposite was observed for grain yield and shape trait QTLs. Combination of the multi-tissue transcriptome and metabolome data provided considerable insight into the metabolic variations between maize and its wild relatives. This study thus identifies favorable genes hidden in the wild relative which should allow us to balance high yield and quality in future modern crop breeding programs.
Collapse
Affiliation(s)
- Kun Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Shizishan Lu 1, 430070, Hongshan, Wuhan, China
| | - Weiwei Wen
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Shizishan Lu 1, 430070, Hongshan, Wuhan, China
- Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476, Potsdam-Golm, Germany
- Key Laboratory of Horticultural Plant Biology, Ministry of Education, Huazhong Agricultural University, Shizishan Lu 1, 430070, Hongshan, Wuhan, China
| | - Saleh Alseekh
- Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476, Potsdam-Golm, Germany
- Centre of Plant System Biology and Biotechnology, 4000, Plovdiv, Bulgaria
| | - Xiaohong Yang
- Beijing Key Laboratory of Crop Genetic Improvement, National Maize Improvement Center of China, China Agricultural University, West Yuanmingyuan Lu 2, 100193, Haidian, Beijing, China
| | - Huan Guo
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Shizishan Lu 1, 430070, Hongshan, Wuhan, China
| | - Wenqiang Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Shizishan Lu 1, 430070, Hongshan, Wuhan, China
| | - Luxi Wang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Shizishan Lu 1, 430070, Hongshan, Wuhan, China
| | - Qingchun Pan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Shizishan Lu 1, 430070, Hongshan, Wuhan, China
| | - Wei Zhan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Shizishan Lu 1, 430070, Hongshan, Wuhan, China
| | - Jie Liu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Shizishan Lu 1, 430070, Hongshan, Wuhan, China
| | - Yanhua Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Shizishan Lu 1, 430070, Hongshan, Wuhan, China
| | - Xiao Wu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Shizishan Lu 1, 430070, Hongshan, Wuhan, China
| | - Yariv Brotman
- Department of Life Sciences, Ben-Gurion University of the Negev, Beersheba, Israel
| | - Lothar Willmitzer
- Centre of Plant System Biology and Biotechnology, 4000, Plovdiv, Bulgaria
| | - Jiansheng Li
- Beijing Key Laboratory of Crop Genetic Improvement, National Maize Improvement Center of China, China Agricultural University, West Yuanmingyuan Lu 2, 100193, Haidian, Beijing, China
| | - Alisdair R Fernie
- Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476, Potsdam-Golm, Germany
- Centre of Plant System Biology and Biotechnology, 4000, Plovdiv, Bulgaria
| | - Jianbing Yan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Shizishan Lu 1, 430070, Hongshan, Wuhan, China
| |
Collapse
|