Metagenomics reveals diet-specific specialization of bacterial communities in fungus gardens of grass- and dicot-cutter ants (2020)
- Authors:
- Autor USP: PUPO, MONICA TALLARICO - FCFRP
- Unidade: FCFRP
- DOI: 10.3389/fmicb.2020.570770
- Subjects: FORMIGAS; DIETA ANIMAL; GRAMAS; BACTÉRIAS
- Keywords: Atta; KEGG; Attine ant; Herbivory; Microbiome; Substrate specialization
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Frontiers in Microbiology
- ISSN: 1664-302X
- Volume/Número/Paginação/Ano: v. 11, art. 570770, [14] p, 2020
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
KHADEMPOUR, Lily et al. Metagenomics reveals diet-specific specialization of bacterial communities in fungus gardens of grass- and dicot-cutter ants. Frontiers in Microbiology, v. 11, 2020Tradução . . Disponível em: https://doi.org/10.3389/fmicb.2020.570770. Acesso em: 20 fev. 2026. -
APA
Khadempour, L., Fan, H., Keefover-Ring, K., Carlos-Shanley, C., Nagamoto, N. S., Dam, M. A., et al. (2020). Metagenomics reveals diet-specific specialization of bacterial communities in fungus gardens of grass- and dicot-cutter ants. Frontiers in Microbiology, 11. doi:10.3389/fmicb.2020.570770 -
NLM
Khadempour L, Fan H, Keefover-Ring K, Carlos-Shanley C, Nagamoto NS, Dam MA, Pupo MT, Currie CR. Metagenomics reveals diet-specific specialization of bacterial communities in fungus gardens of grass- and dicot-cutter ants [Internet]. Frontiers in Microbiology. 2020 ; 11[citado 2026 fev. 20 ] Available from: https://doi.org/10.3389/fmicb.2020.570770 -
Vancouver
Khadempour L, Fan H, Keefover-Ring K, Carlos-Shanley C, Nagamoto NS, Dam MA, Pupo MT, Currie CR. Metagenomics reveals diet-specific specialization of bacterial communities in fungus gardens of grass- and dicot-cutter ants [Internet]. Frontiers in Microbiology. 2020 ; 11[citado 2026 fev. 20 ] Available from: https://doi.org/10.3389/fmicb.2020.570770 - Estudo químico do fungo endofítico: Coniochaeta sp. FLe 4
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Informações sobre o DOI: 10.3389/fmicb.2020.570770 (Fonte: oaDOI API)
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