Seasonal Variations in Soil Microbiota Profile of Termite () Mounds in the Brazilian Tropical Savanna

Overview

Journal Microorganisms

Specialty Microbiology

Date 2020 Sep 30

PMID 32992494

Citations 6

Authors

Helena Ipe Pinheiro Guimaraes

Renata Henrique Santana

Rafaella Silveira

Otavio Henrique Bezerra Pinto

Betania Ferraz Quirino

Cristine Chaves Barreto

Mercedes Maria da Cunha Bustamante

Ricardo Henrique Kruger

Affiliations

Soon will be listed here.

Abstract

Eusocial animals, such as the termites, often build a nest-like structure called a mound that provides shelter with stable internal conditions and protection against predators. Termites are important components of the Brazilian Cerrado biota. This study aimed to investigate the bacterial community composition and diversity of the termite-mound soil using culture-independent approaches. We considered the vertical profile by comparing two different mound depths (mound surface and 60 cm) and seasonality with samplings during the rainy and dry seasons. We compared the mound soil microbiota to the adjacent soil without the influence of the mound to test the hypothesis that the Cerrado soil bacterial community was more diverse and more susceptible to seasonality than the mound soil microbiota. The results support the hypothesis that the Cerrado soil bacterial community is more diverse than the mound soil and also has a higher variability among seasons. The number of observed OTUs (Operational Taxonomic Units) was used to express bacterial richness, and it indicates that soil moisture has an effect on the community distribution and richness of the Cerrado samples in comparison to mound samples, which remain stable across seasons. This could be a consequence of the protective role of the mound for the termite colony. The overall community taxonomic profile was similar between soil samples, especially when compared to the taxonomic composition of the termite's gut, which might be explained by the different characteristics and functionality between the soil and the gut microbial community.

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References

Singh K, Muljadi B, Raeini A, Jost C, Vandeginste V, Blunt M . The architectural design of smart ventilation and drainage systems in termite nests. Sci Adv. 2019; 5(3):eaat8520. PMC: 6430624. DOI: 10.1126/sciadv.aat8520. View

Enagbonma B, Aremu B, Babalola O . Profiling the Functional Diversity of Termite Mound Soil Bacteria as Revealed by Shotgun Sequencing. Genes (Basel). 2019; 10(9). PMC: 6770954. DOI: 10.3390/genes10090637. View

Ferreira R, Pereira-Marques J, Pinto-Ribeiro I, Costa J, Carneiro F, Machado J . Gastric microbial community profiling reveals a dysbiotic cancer-associated microbiota. Gut. 2017; 67(2):226-236. PMC: 5868293. DOI: 10.1136/gutjnl-2017-314205. View

Wittebolle L, Marzorati M, Clement L, Balloi A, Daffonchio D, Heylen K . Initial community evenness favours functionality under selective stress. Nature. 2009; 458(7238):623-6. DOI: 10.1038/nature07840. View

Ferreira de Araujo A, Mendes L, Lemos L, Antunes J, Beserra Jr J, de Lyra M . Protist species richness and soil microbiome complexity increase towards climax vegetation in the Brazilian Cerrado. Commun Biol. 2018; 1:135. PMC: 6127325. DOI: 10.1038/s42003-018-0129-0. View

Zhalnina K, Dias R, de Quadros P, Davis-Richardson A, Camargo F, Clark I . Soil pH determines microbial diversity and composition in the park grass experiment. Microb Ecol. 2014; 69(2):395-406. DOI: 10.1007/s00248-014-0530-2. View

Moreira E, Alvarez T, Persinoti G, Paixao D, Menezes L, Cairo J . Microbial Communities of the Gut and Nest of the Humus- and Litter-Feeding Termite Procornitermes araujoi (Syntermitinae). Curr Microbiol. 2018; 75(12):1609-1618. DOI: 10.1007/s00284-018-1567-0. View

Warnecke F, Luginbuhl P, Ivanova N, Ghassemian M, Richardson T, Stege J . Metagenomic and functional analysis of hindgut microbiota of a wood-feeding higher termite. Nature. 2007; 450(7169):560-5. DOI: 10.1038/nature06269. View

Falkowski P, Fenchel T, DeLong E . The microbial engines that drive Earth's biogeochemical cycles. Science. 2008; 320(5879):1034-9. DOI: 10.1126/science.1153213. View

10.

Sujada N, Sungthong R, Lumyong S . Termite nests as an abundant source of cultivable actinobacteria for biotechnological purposes. Microbes Environ. 2014; 29(2):211-9. PMC: 4103528. DOI: 10.1264/jsme2.me13183. View

11.

Bokulich N, Subramanian S, Faith J, Gevers D, Gordon J, Knight R . Quality-filtering vastly improves diversity estimates from Illumina amplicon sequencing. Nat Methods. 2012; 10(1):57-9. PMC: 3531572. DOI: 10.1038/nmeth.2276. View

12.

Langille M, Zaneveld J, Caporaso J, McDonald D, Knights D, Reyes J . Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences. Nat Biotechnol. 2013; 31(9):814-21. PMC: 3819121. DOI: 10.1038/nbt.2676. View

13.

Hongoh Y . Toward the functional analysis of uncultivable, symbiotic microorganisms in the termite gut. Cell Mol Life Sci. 2011; 68(8):1311-25. PMC: 11114660. DOI: 10.1007/s00018-011-0648-z. View

14.

Griffiths R, Whiteley A, ODonnell A, Bailey M . Rapid method for coextraction of DNA and RNA from natural environments for analysis of ribosomal DNA- and rRNA-based microbial community composition. Appl Environ Microbiol. 2000; 66(12):5488-91. PMC: 92488. DOI: 10.1128/AEM.66.12.5488-5491.2000. View

15.

McMurdie P, Holmes S . Shiny-phyloseq: Web application for interactive microbiome analysis with provenance tracking. Bioinformatics. 2014; 31(2):282-3. PMC: 4287943. DOI: 10.1093/bioinformatics/btu616. View

16.

Caspi R, Billington R, Fulcher C, Keseler I, Kothari A, Krummenacker M . The MetaCyc database of metabolic pathways and enzymes. Nucleic Acids Res. 2017; 46(D1):D633-D639. PMC: 5753197. DOI: 10.1093/nar/gkx935. View

17.

Manjula A, Pushpanathan M, Sathyavathi S, Gunasekaran P, Rajendhran J . Comparative Analysis of Microbial Diversity in Termite Gut and Termite Nest Using Ion Sequencing. Curr Microbiol. 2015; 72(3):267-75. DOI: 10.1007/s00284-015-0947-y. View

18.

Boon E, Meehan C, Whidden C, Wong D, Langille M, Beiko R . Interactions in the microbiome: communities of organisms and communities of genes. FEMS Microbiol Rev. 2013; 38(1):90-118. PMC: 4298764. DOI: 10.1111/1574-6976.12035. View

19.

Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P . The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res. 2012; 41(Database issue):D590-6. PMC: 3531112. DOI: 10.1093/nar/gks1219. View

20.

Santana R, Catao E, Lopes F, Constantino R, Barreto C, Kruger R . The Gut Microbiota of Workers of the Litter-Feeding Termite Syntermes wheeleri (Termitidae: Syntermitinae): Archaeal, Bacterial, and Fungal Communities. Microb Ecol. 2015; 70(2):545-56. DOI: 10.1007/s00248-015-0581-z. View