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Chen X, Wu Z, Yin Z, Zhang Y, Rui C, Wang J, Malik WA, Lu X, Wang D, Wang J, Guo L, Wang S, Zhao L, Zebinisso Qaraevna B, Chen C, Wang X, Ye W. Comprehensive genomic characterization of cotton cationic amino acid transporter genes reveals that GhCAT10D regulates salt tolerance. BMC PLANT BIOLOGY 2022; 22:441. [PMID: 36109698 PMCID: PMC9476346 DOI: 10.1186/s12870-022-03829-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 09/06/2022] [Indexed: 06/12/2023]
Abstract
BACKGROUND The cationic amino acid transporters (CAT) play indispensable roles in maintaining metabolic functions, such as synthesis of proteins and nitric oxide (NO), biosynthesis of polyamine, and flow of amino acids, by mediating the bidirectional transport of cationic amino acids in plant cells. RESULTS In this study, we performed a genome-wide and comprehensive study of 79 CAT genes in four species of cotton. Localization of genes revealed that CAT genes reside on the plasma membrane. Seventy-nine CAT genes were grouped into 7 subfamilies by phylogenetic analysis. Structure analysis of genes showed that CAT genes from the same subgroup have similar genetic structure and exon number. RNA-seq and real-time PCR indicated that the expression of most GhCAT genes were induced by salt, drought, cold and heat stresses. Cis-elements analysis of GhCAT promoters showed that the GhCAT genes promoters mainly contained plant hormones responsive elements and abiotic stress elements, which indicated that GhCAT genes may play key roles in response to abiotic stress. Moreover, we also conducted gene interaction network of the GhCAT proteins. Silencing GhCAT10D expression decreased the resistance of cotton to salt stress because of a decrease in the accumulation of NO and proline. CONCLUSION Our results indicated that CAT genes might be related with salt tolerance in cotton and lay a foundation for further study on the regulation mechanism of CAT genes in cationic amino acids transporting and distribution responsing to abiotic stress.
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Affiliation(s)
- Xiugui Chen
- Institute of Cotton Research of Chinese Academy of Agricultural Sciences/Zhengzhou Research Base, State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Anyang, 455000, Henan, China
| | - Zhe Wu
- Institute of Coastal Agriculture, Hebei Academy of Agriculture and Forestry Sciences, Tangshan, 063299, Hebei, China
| | - Zujun Yin
- Institute of Cotton Research of Chinese Academy of Agricultural Sciences/Zhengzhou Research Base, State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Anyang, 455000, Henan, China
| | - Yuexin Zhang
- Institute of Cotton Research of Chinese Academy of Agricultural Sciences/Zhengzhou Research Base, State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Anyang, 455000, Henan, China
| | - Cun Rui
- Institute of Cotton Research of Chinese Academy of Agricultural Sciences/Zhengzhou Research Base, State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Anyang, 455000, Henan, China
| | - Jing Wang
- Institute of Cotton Research of Chinese Academy of Agricultural Sciences/Zhengzhou Research Base, State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Anyang, 455000, Henan, China
| | - Waqar Afzal Malik
- Institute of Cotton Research of Chinese Academy of Agricultural Sciences/Zhengzhou Research Base, State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Anyang, 455000, Henan, China
| | - Xuke Lu
- Institute of Cotton Research of Chinese Academy of Agricultural Sciences/Zhengzhou Research Base, State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Anyang, 455000, Henan, China
| | - Delong Wang
- Institute of Cotton Research of Chinese Academy of Agricultural Sciences/Zhengzhou Research Base, State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Anyang, 455000, Henan, China
| | - Junjuan Wang
- Institute of Cotton Research of Chinese Academy of Agricultural Sciences/Zhengzhou Research Base, State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Anyang, 455000, Henan, China
| | - Lixue Guo
- Institute of Cotton Research of Chinese Academy of Agricultural Sciences/Zhengzhou Research Base, State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Anyang, 455000, Henan, China
| | - Shuai Wang
- Institute of Cotton Research of Chinese Academy of Agricultural Sciences/Zhengzhou Research Base, State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Anyang, 455000, Henan, China
| | - Lanjie Zhao
- Institute of Cotton Research of Chinese Academy of Agricultural Sciences/Zhengzhou Research Base, State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Anyang, 455000, Henan, China
| | - Bobokhonova Zebinisso Qaraevna
- Department of Cotton Growing, Genetics, Breeding and Seed, Tajik Agrarian University Named Shirinsho Shotemur Dushanbe, Dushanbe, Republic of Tajikistan
| | - Chao Chen
- Institute of Cotton Research of Chinese Academy of Agricultural Sciences/Zhengzhou Research Base, State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Anyang, 455000, Henan, China
| | - Xiuping Wang
- Institute of Coastal Agriculture, Hebei Academy of Agriculture and Forestry Sciences, Tangshan, 063299, Hebei, China.
| | - Wuwei Ye
- Institute of Cotton Research of Chinese Academy of Agricultural Sciences/Zhengzhou Research Base, State Key Laboratory of Cotton Biology, School of Agricultural Sciences, Zhengzhou University, Anyang, 455000, Henan, China.
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Charpentier J, Briand F, Lelouvier B, Servant F, Azalbert V, Puel A, Christensen JE, Waget A, Branchereau M, Garret C, Lluch J, Heymes C, Brousseau E, Burcelin R, Guzylack L, Sulpice T, Grasset E. Liraglutide targets the gut microbiota and the intestinal immune system to regulate insulin secretion. Acta Diabetol 2021; 58:881-897. [PMID: 33723651 DOI: 10.1007/s00592-020-01657-8] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Accepted: 12/09/2020] [Indexed: 01/05/2023]
Abstract
AIMS Liraglutide controls type 2 diabetes (T2D) and inflammation. Gut microbiota regulates the immune system and causes at least in part type 2 diabetes. We here evaluated whether liraglutide regulates T2D through both gut microbiota and immunity in dysmetabolic mice. METHODS Diet-induced dysmetabolic mice were treated for 14 days with intraperitoneal injection of liraglutide (100 µg/kg) or with vehicle or Exendin 4 (10 µg/kg) as controls. Various metabolic parameters, the intestinal immune cells were characterized and the 16SrDNA gene sequenced from the gut. The causal role of gut microbiota was shown using large spectrum antibiotics and by colonization of germ-free mice with the gut microbiota from treated mice. RESULTS Besides, the expected metabolic impacts liraglutide treatment induced a specific gut microbiota specific signature when compared to vehicle or Ex4-treated mice. However, liraglutide only increased glucose-induced insulin secretion, reduced the frequency of Th1 lymphocytes, and increased that of TReg in the intestine. These effects were abolished by a concomitant antibiotic treatment. Colonization of germ-free mice with gut microbiota from liraglutide-treated diabetic mice improved glucose-induced insulin secretion and regulated the intestinal immune system differently from what observed in germ-free mice colonized with microbiota from non-treated diabetic mice. CONCLUSIONS Altogether, our result demonstrated first the influence of liraglutide on gut microbiota and the intestinal immune system which could at least in part control glucose-induced insulin secretion.
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Affiliation(s)
- Julie Charpentier
- Institut National de la Santé et de la Recherche Médicale (INSERM), Toulouse, France
- Unité Mixte de Recherche (UMR) 1048, Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Université Paul Sabatier (UPS), Team 2: 'Intestinal Risk Factors Diabetes, Dyslipidemia', 31432, Toulouse Cedex 4, France
| | - Francois Briand
- PHYSIOGENEX SAS Prologue Biotech, 516 Rue Pierre et Marie Curie, 31670, Labège Innopole, France
| | - Benjamin Lelouvier
- Vaiomer, Prologue Biotech, 516 Rue Pierre et Marie Curie, 31670, Labège Innopole, France
| | - Florence Servant
- Vaiomer, Prologue Biotech, 516 Rue Pierre et Marie Curie, 31670, Labège Innopole, France
| | - Vincent Azalbert
- Institut National de la Santé et de la Recherche Médicale (INSERM), Toulouse, France
- Unité Mixte de Recherche (UMR) 1048, Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Université Paul Sabatier (UPS), Team 2: 'Intestinal Risk Factors Diabetes, Dyslipidemia', 31432, Toulouse Cedex 4, France
| | - Anthony Puel
- Institut National de la Santé et de la Recherche Médicale (INSERM), Toulouse, France
- Unité Mixte de Recherche (UMR) 1048, Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Université Paul Sabatier (UPS), Team 2: 'Intestinal Risk Factors Diabetes, Dyslipidemia', 31432, Toulouse Cedex 4, France
| | - Jeffrey E Christensen
- Institut National de la Santé et de la Recherche Médicale (INSERM), Toulouse, France
- Unité Mixte de Recherche (UMR) 1048, Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Université Paul Sabatier (UPS), Team 2: 'Intestinal Risk Factors Diabetes, Dyslipidemia', 31432, Toulouse Cedex 4, France
| | - Aurélie Waget
- Institut National de la Santé et de la Recherche Médicale (INSERM), Toulouse, France
- Unité Mixte de Recherche (UMR) 1048, Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Université Paul Sabatier (UPS), Team 2: 'Intestinal Risk Factors Diabetes, Dyslipidemia', 31432, Toulouse Cedex 4, France
| | - Maxime Branchereau
- Institut National de la Santé et de la Recherche Médicale (INSERM), Toulouse, France
- Unité Mixte de Recherche (UMR) 1048, Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Université Paul Sabatier (UPS), Team 2: 'Intestinal Risk Factors Diabetes, Dyslipidemia', 31432, Toulouse Cedex 4, France
| | - Céline Garret
- Vaiomer, Prologue Biotech, 516 Rue Pierre et Marie Curie, 31670, Labège Innopole, France
| | - Jérome Lluch
- Vaiomer, Prologue Biotech, 516 Rue Pierre et Marie Curie, 31670, Labège Innopole, France
| | - Christophe Heymes
- Institut National de la Santé et de la Recherche Médicale (INSERM), Toulouse, France
- Unité Mixte de Recherche (UMR) 1048, Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Université Paul Sabatier (UPS), Team 2: 'Intestinal Risk Factors Diabetes, Dyslipidemia', 31432, Toulouse Cedex 4, France
| | - Emmanuel Brousseau
- PHYSIOGENEX SAS Prologue Biotech, 516 Rue Pierre et Marie Curie, 31670, Labège Innopole, France
| | - Rémy Burcelin
- Institut National de la Santé et de la Recherche Médicale (INSERM), Toulouse, France.
- Unité Mixte de Recherche (UMR) 1048, Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Université Paul Sabatier (UPS), Team 2: 'Intestinal Risk Factors Diabetes, Dyslipidemia', 31432, Toulouse Cedex 4, France.
| | - Laurence Guzylack
- Neuro-Gastroenterology and Nutrition Team, Toxalim (Research Centre in Food Toxicology), Université de Toulouse, INRA, ENVT, INP-Purpan, UPS, Toulouse, France
| | - Thierry Sulpice
- PHYSIOGENEX SAS Prologue Biotech, 516 Rue Pierre et Marie Curie, 31670, Labège Innopole, France
| | - Estelle Grasset
- Institut National de la Santé et de la Recherche Médicale (INSERM), Toulouse, France
- Unité Mixte de Recherche (UMR) 1048, Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Université Paul Sabatier (UPS), Team 2: 'Intestinal Risk Factors Diabetes, Dyslipidemia', 31432, Toulouse Cedex 4, France
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Mohler V, Stadlmeier M. Dynamic QTL for adult plant resistance to powdery mildew in common wheat (Triticum aestivum L.). J Appl Genet 2019; 60:291-300. [PMID: 31506777 DOI: 10.1007/s13353-019-00518-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 08/13/2019] [Accepted: 08/21/2019] [Indexed: 01/21/2023]
Abstract
Agriculture will benefit from a rigorous characterization of genes for adult plant resistance (APR) since this gene class was recognized to provide more durable protection from plant diseases. The present study reports the identification of APR loci to powdery mildew in German winter wheat cultivars Cortez and Atlantis. Cortez was previously shown to carry all-stage resistance gene Pm3e. To avoid interference of Pm3e in APR studies, line 6037 that lacked Pm3e but showed field resistance from doubled-haploid (DH) population Atlantis/Cortez was used in two backcrosses to Atlantis for the establishment of DH population 6037/Atlantis//Atlantis. APR was assessed in the greenhouse 10, 15, and 20 days after inoculation (dai) from the 4-leaf stage onwards and combined with single-nucleotide polymorphism data in a genome-wide association study (GWAS) and a linkage map-based quantitative trait loci (QTL) analysis. In GWAS, two QTL were detected: one on chromosome 1BL 10 dai, the other on chromosome 2BL 20 dai. In conventional QTL analysis, both QTL were detected with all three disease ratings: the QTL on chromosome 1BL explained a maximum of 35.2% of the phenotypic variation 10 dai, whereas the QTL on chromosome 2BL explained a maximum of 43.5% of the phenotypic variation 20 dai. Compared with GWAS, linkage map-based QTL analysis allowed following the dynamics of QTL action. The two large-effect QTL for APR to powdery mildew with dynamic gene action can be useful for the enhancement of wheat germplasm.
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Affiliation(s)
- Volker Mohler
- Institute for Crop Science and Plant Breeding, Bavarian State Research Center for Agriculture (LfL), Am Gereuth 6, 85354, Freising, Germany.
| | - Melanie Stadlmeier
- Institute for Crop Science and Plant Breeding, Bavarian State Research Center for Agriculture (LfL), Am Gereuth 6, 85354, Freising, Germany
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Regulatory Aspects of the Vacuolar CAT2 Arginine Transporter of S. lycopersicum: Role of Osmotic Pressure and Cations. Int J Mol Sci 2019; 20:ijms20040906. [PMID: 30791488 PMCID: PMC6413183 DOI: 10.3390/ijms20040906] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 02/11/2019] [Accepted: 02/15/2019] [Indexed: 12/22/2022] Open
Abstract
Many proteins are localized at the vacuolar membrane, but most of them are still poorly described, due to the inaccessibility of this membrane from the extracellular environment. This work focused on the characterization of the CAT2 transporter from S. lycopersicum (SlCAT2) that was previously overexpressed in E. coli and reconstituted in proteoliposomes for transport assay as [3H]Arg uptake. The orientation of the reconstituted transporter has been attempted and current data support the hypothesis that the protein is inserted in the liposome in the same orientation as in the vacuole. SlCAT2 activity was dependent on the pH, with an optimum at pH 7.5. SlCAT2 transport activity was stimulated by the increase of internal osmolality from 0 to 175 mOsmol while the activity was inhibited by the increase of external osmolality. K+, Na+, and Mg2+ present on the external side of proteoliposomes at physiological concentrations, inhibited the transport activity; differently, the cations had no effect when included in the internal proteoliposome compartment. This data highlighted an asymmetric regulation of SlCAT2. Cholesteryl hemisuccinate, included in the proteoliposomal membrane, stimulated the SlCAT2 transport activity. The homology model of the protein was built using, as a template, the 3D structure of the amino acid transporter GkApcT. Putative substrate binding residues and cholesterol binding domains were proposed. Altogether, the described results open new perspectives for studying the response of SlCAT2 and, in general, of plant vacuolar transporters to metabolic and environmental changes.
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