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Funnicelli MIG, de Carvalho LAL, Teheran-Sierra LG, Dibelli SC, Lemos EGDM, Pinheiro DG. Unveiling genomic features linked to traits of plant growth-promoting bacterial communities from sugarcane. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 947:174577. [PMID: 38981540 DOI: 10.1016/j.scitotenv.2024.174577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 07/04/2024] [Accepted: 07/05/2024] [Indexed: 07/11/2024]
Abstract
Microorganisms are ubiquitous, and those inhabiting plants have been the subject of several studies. Plant-associated bacteria exhibit various biological mechanisms that enable them to colonize host plants and, in some cases, enhance their fitness. In this study, we describe the genomic features predicted to be associated with plant growth-promoting traits in six bacterial communities isolated from sugarcane. The use of highly accurate single-molecule real-time sequencing technology for metagenomic samples from these bacterial communities allowed us to recover 17 genomes. The taxonomic assignments for the binned genomes were performed, revealing taxa distributed across three main phyla: Bacillota, Bacteroidota, and Pseudomonadota, with the latter being the most representative. Subsequently, we functionally annotated the metagenome-assembled genomes (MAGs) to characterize their metabolic pathways related to plant growth-promoting traits. Our study successfully identified the enrichment of important functions related to phosphate and potassium acquisition, modulation of phytohormones, and mechanisms for coping with abiotic stress. These findings could be linked to the robust colonization of these sugarcane endophytes.
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Affiliation(s)
- Michelli Inácio Gonçalves Funnicelli
- Laboratory of Bioinformatics, Department of Agricultural, Livestock and Environmental Biotechnology, São Paulo State University (UNESP), School of Agricultural and Veterinary Sciences, Jaboticabal, SP, Brazil; Graduate Program in Agricultural and Livestock Microbiology, São Paulo State University (UNESP), School of Agricultural and Veterinary Sciences, Jaboticabal, SP, Brazil
| | - Lucas Amoroso Lopes de Carvalho
- Laboratory of Bioinformatics, Department of Agricultural, Livestock and Environmental Biotechnology, São Paulo State University (UNESP), School of Agricultural and Veterinary Sciences, Jaboticabal, SP, Brazil; Graduate Program in Agricultural and Livestock Microbiology, São Paulo State University (UNESP), School of Agricultural and Veterinary Sciences, Jaboticabal, SP, Brazil
| | - Luis Guillermo Teheran-Sierra
- Agronomy Research Program, Colombian Oil Palm Research Center, Cenipalma, Calle 98 No. 70-91, Piso 14, Bogotá 111121, Colombia
| | - Sabrina Custodio Dibelli
- Laboratory of Bioinformatics, Department of Agricultural, Livestock and Environmental Biotechnology, São Paulo State University (UNESP), School of Agricultural and Veterinary Sciences, Jaboticabal, SP, Brazil; Graduate Program in Agricultural and Livestock Microbiology, São Paulo State University (UNESP), School of Agricultural and Veterinary Sciences, Jaboticabal, SP, Brazil
| | - Eliana Gertrudes de Macedo Lemos
- Graduate Program in Agricultural and Livestock Microbiology, São Paulo State University (UNESP), School of Agricultural and Veterinary Sciences, Jaboticabal, SP, Brazil; Molecular Biology Laboratory, Institute for Research in Bioenergy (IPBEN), São Paulo State University (UNESP), School of Agricultural and Veterinary Sciences, Jaboticabal, SP, Brazil
| | - Daniel Guariz Pinheiro
- Laboratory of Bioinformatics, Department of Agricultural, Livestock and Environmental Biotechnology, São Paulo State University (UNESP), School of Agricultural and Veterinary Sciences, Jaboticabal, SP, Brazil; Graduate Program in Agricultural and Livestock Microbiology, São Paulo State University (UNESP), School of Agricultural and Veterinary Sciences, Jaboticabal, SP, Brazil.
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Moneda APC, de Carvalho LAL, Teheran-Sierra LG, Funnicelli MIG, Pinheiro DG. Sugarcane cultivation practices modulate rhizosphere microbial community composition and structure. Sci Rep 2022; 12:19174. [PMID: 36357461 PMCID: PMC9649670 DOI: 10.1038/s41598-022-23562-6] [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: 09/10/2022] [Accepted: 11/02/2022] [Indexed: 11/12/2022] Open
Abstract
Sugarcane (Saccharum spp.) represents a crop of great economic importance, remarkably relevant in the food industry and energy supply chains from renewable sources. However, its conventional cultivation involves the intensive use of fertilizers, pesticides, and other agrochemical agents whose detrimental effects on the environment are notorious. Alternative systems, such as organic farming, have been presented as an environmentally friendly way of production. Still, the outcomes of different cropping systems on the microbiota associated with sugarcane-whose role in its health and growth is crucial-remain underexplored. Thus, we studied the rhizospheric microbiota of two adjacent sugarcane fields, which differ in terms of the type of farming system. For this, we used the sequencing of taxonomic markers of prokaryotes (gene 16S rRNA, subregions V3-V4) and fungi (Internal transcribed spacer 2) and evaluated the changes caused by the systems. Our results show a well-conserved microbiota composition among farming systems in the highest taxonomic ranks, such as phylum, class, and order. Also, both systems showed very similar alpha diversity indices and shared core taxa with growth-promoting capacities, such as bacteria from the Bacillus and Bradyrhizobium genera and the fungal genus Trichoderma. However, the composition at more specific levels denotes differences, such as the separation of the samples concerning beta diversity and the identification of 74 differentially abundant taxa between the systems. Of these, 60 were fungal taxa, indicating that this microbiota quota is more susceptible to changes caused by farming systems. The analysis of co-occurrence networks also showed the formation of peripheral sub-networks associated with the treatments-especially in fungi-and the presence of keystone taxa in terms of their ability to mediate relationships between other members of microbial communities. Considering that both crop fields used the same cultivar and had almost identical soil properties, we conclude that the observed findings are effects of the activities intrinsic to each system and can contribute to a better understanding of the effects of farming practices on the plant microbiome.
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Affiliation(s)
- Ana Paula Corrêa Moneda
- grid.410543.70000 0001 2188 478XLaboratory of Bioinformatics, Department of Agricultural, Livestock and Environmental Biotechnology, School of Agricultural and Veterinary Sciences, São Paulo State University (UNESP), Jaboticabal, SP 14884-900 Brazil ,grid.410543.70000 0001 2188 478XGraduate Program in Agricultural and Livestock Microbiology, School of Agricultural and Veterinary Sciences, São Paulo State University (UNESP), Jaboticabal, SP Brazil
| | - Lucas Amoroso Lopes de Carvalho
- grid.410543.70000 0001 2188 478XLaboratory of Bioinformatics, Department of Agricultural, Livestock and Environmental Biotechnology, School of Agricultural and Veterinary Sciences, São Paulo State University (UNESP), Jaboticabal, SP 14884-900 Brazil ,grid.410543.70000 0001 2188 478XGraduate Program in Agricultural and Livestock Microbiology, School of Agricultural and Veterinary Sciences, São Paulo State University (UNESP), Jaboticabal, SP Brazil
| | - Luis Guillermo Teheran-Sierra
- grid.410543.70000 0001 2188 478XLaboratory of Bioinformatics, Department of Agricultural, Livestock and Environmental Biotechnology, School of Agricultural and Veterinary Sciences, São Paulo State University (UNESP), Jaboticabal, SP 14884-900 Brazil ,grid.410543.70000 0001 2188 478XGraduate Program in Agricultural and Livestock Microbiology, School of Agricultural and Veterinary Sciences, São Paulo State University (UNESP), Jaboticabal, SP Brazil
| | - Michelli Inácio Gonçalves Funnicelli
- grid.410543.70000 0001 2188 478XLaboratory of Bioinformatics, Department of Agricultural, Livestock and Environmental Biotechnology, School of Agricultural and Veterinary Sciences, São Paulo State University (UNESP), Jaboticabal, SP 14884-900 Brazil ,grid.410543.70000 0001 2188 478XGraduate Program in Agricultural and Livestock Microbiology, School of Agricultural and Veterinary Sciences, São Paulo State University (UNESP), Jaboticabal, SP Brazil
| | - Daniel Guariz Pinheiro
- grid.410543.70000 0001 2188 478XLaboratory of Bioinformatics, Department of Agricultural, Livestock and Environmental Biotechnology, School of Agricultural and Veterinary Sciences, São Paulo State University (UNESP), Jaboticabal, SP 14884-900 Brazil ,grid.410543.70000 0001 2188 478XGraduate Program in Agricultural and Livestock Microbiology, School of Agricultural and Veterinary Sciences, São Paulo State University (UNESP), Jaboticabal, SP Brazil
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