The Gut Mycobiota of Rural and Urban Individuals Is Shaped by Geography Mubanga Hellen Kabwe1, Surendra Vikram1, Khodani Mulaudzi1, Janet K

The Gut Mycobiota of Rural and Urban Individuals Is Shaped by Geography Mubanga Hellen Kabwe1, Surendra Vikram1, Khodani Mulaudzi1, Janet K

Kabwe et al. BMC Microbiology (2020) 20:257 https://doi.org/10.1186/s12866-020-01907-3 RESEARCH ARTICLE Open Access The gut mycobiota of rural and urban individuals is shaped by geography Mubanga Hellen Kabwe1, Surendra Vikram1, Khodani Mulaudzi1, Janet K. Jansson2 and Thulani P. Makhalanyane1* Abstract Background: Understanding the structure and drivers of gut microbiota remains a major ecological endeavour. Recent studies have shown that several factors including diet, lifestyle and geography may substantially shape the human gut microbiota. However, most of these studies have focused on the more abundant bacterial component and comparatively less is known regarding fungi in the human gut. This knowledge deficit is especially true for rural and urban African populations. Therefore, we assessed the structure and drivers of rural and urban gut mycobiota. Results: Our participants (n = 100) were balanced by geography and sex. The mycobiota of these geographically separated cohorts was characterized using amplicon analysis of the Internal Transcribed Spacer (ITS) gene. We further assessed biomarker species specific to rural and urban cohorts. In addition to phyla which have been shown to be ubiquitous constituents of gut microbiota, Pichia were key constituents of the mycobiota. We found that geographic location was a major driver of gut mycobiota. Other factors such as smoking where also determined gut mycobiota albeit to a lower extent, as explained by the small proportion of total variation. Linear discriminant and the linear discriminant analysis effect size analysis revealed several distinct urban and rural biomarkers. Conclusions: Together, our analysis reveals distinct community structure in urban and rural South African individuals. Geography was shown to be a key driver of rural and urban gut mycobiota. Keywords: Gut microbiome, Ethnicity, Mycobiota, Diet, Africa, Rural, Urban Background is diverse and interacts with the host immune system By comparison to prokaryotes (bacteria and archaea), eu- [3, 8, 9], knowledge regarding the community struc- karyotes are considered part of the rare “biosphere” of the ture of healthy human gut mycobiota remains scant. gut [1, 2]. Despite their low abundances, fungi play signifi- Most studies have focused on the potential roles played cant roles in host physiology [2–5]. Recent studies have by the mycobiota in the aetiology of gut diseases [10–12]. shown that the gut fungal community composition is less These studies have provided crucial insights on the role of stable over time, compared to bacterial communities the mycobiota as a potential driver of immunological dis- [4, 6, 7]. These studies suggest that the gut mycobiota orders and as opportunistic pathogens in immunocom- is more variable than bacterial communities, and may promised hosts [13]. Further, dysbiosis of gut mycobiota be influenced substantially by environmental factors has been linked to obesity, colorectal cancer and Inflam- [3, 7]. Despite evidence confirming the gut microbiota matory Bowel Diseases (IBDs) [12, 14, 15]. Decreased abundances of Saccharomyces cerevisiae and higher pro- * Correspondence: [email protected] portions of Candida albicans were found in IBD patients 1Centre for Microbial Ecology and Genomics, Department of Biochemistry, compared to healthy controls. A recent study showed that Genetics and Microbiology, University of Pretoria, Lynwood Road, Hatfield, ’ Pretoria 0028, South Africa Crohn s disease-specific gut environments may select for Full list of author information is available at the end of the article fungi to the detriment of bacteria suggesting disease- © The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. Kabwe et al. BMC Microbiology (2020) 20:257 Page 2 of 12 specific inter-kingdom network alterations in IBD [12]. Yet, locations by assessing stool samples (see details regard- despite these effects, there remains a clear deficit in know- ing sample recruitment in Methods). We recruited an ledge regarding the precise role played by the gut myco- equal number of male and female volunteers. The volun- biota in disease prevention. Relatedly, the factors which teers from the rural areas were from two villages in the drive the diversity and community structure of gut myco- Limpopo province of South Africa. These villages are lo- biome remain underexplored. Assessing the influence of cated roughly 500 km from the urban site in Pretoria environmental factors on the gut mycobiome across a (Fig. 1a). To gain insights regarding predictive variables, wider group of participants is crucial for determining the which may shape the gut microbiome, detailed question- effects on host-microbiota dynamics and health. naires were distributed to all volunteers (Additional file 1 Several studies have evaluated the effects of age [16–18], Questionnaire). The volunteers from Ha-Ravele and gender [17], diet [19], diabetes and obesity [15, 20, 21], an- Tshikombani villages (population size of roughly 200, orexia nervosa [22], differences across body sites [23, 24] 000, representing the rural participants) were on average and geographical locations [6, 25, 26] on mycobiome com- 24 years (mean ± 6.3). Volunteers from Pretoria (total position and diversity. Yet, these studies are mostly disease population of approximately 2.1 million) were on aver- centric or focussed on Asian [26] and/or Western popula- age 31 years (mean ± 9.1). The mean age of the partici- tions [6, 7, 19]. To our knowledge, only one study has in- pants was 27 years (mean ± 7.9) across all samples. The vestigated the gut eukaryotic diversity of African average height and weight of the participants was 1.64 m individuals [27]. Although these studies improved our un- (mean ± 0.1) and 69.8 kg (mean ± 17.6), respectively. The derstanding of the mycobiome, there may be several con- average body mass index (BMI) of all participants was founding factors such as genetic differences. These 26.02 kg/m2 (mean ± 6.4), resulting in a group of partici- differences make it difficult to assess, for instance, the ef- pants classified as overweight and obese, less than 15.9% fects of living in urban or rural areas on the microbiome. of participants were smokers. The effects of diet, geographic locality and lifestyle, on the Amplicon sequence data from 95 volunteers (samples gut microbiome are often assumed but rarely examined. from 5 rural volunteers were excluded due to low quality Where these relationships are assessed, the majority of reads) generated 5,936,454 raw reads. Of these, 1,636, studies have primarily focused on the ecologically abun- 180 reads were clustered into OTUs at 3% divergence dant bacteria [28, 29] with assertions that their patterns (97% similarity) and 1911 OTUs were taxonomically will likely hold for other taxa, including mycobiomes. classified. The resulting accumulation curves showed Here, we applied amplicon sequencing of the fungal in- reasonable sequence saturation at a regional level ternal transcribed spacer (ITS) of the rRNA genes on sam- (Additional file 3 Fig. S1). ples collected from individuals living in urban and rural A higher proportion of fungal OTUs were unique to areas in Africa. We provide the first insights regarding the location with urban and rural samples accounting for drivers of mycobiome community structure and potential 47.9 and 45.3% of reads, respectively (Additional file 4 biomarkers specific to individuals from urban and rural lo- Fig. S2). Fungal species richness was higher in the stool cations. Previous studies of thegutmycobiomehaveprimar- samples of urban volunteers compared to rural volun- ily investigated small groups with fewer than 20 individuals teers (Fig. 1b). However, there were no significant dif- [25, 30, 31] with very few studies investigating larger groups ferences in species richness based on location (W = 915, [6, 7]. This study represents the first analysis of the faecal p-value = 0.118) and sample type (Kruskal-Wallis chi- mycobiota in a large group of healthy sub-Saharan individ- squared = 5.103, df = 3, p-value = 0.164). A significant uals (100 volunteers). Furthermore,thisisthefirststudy difference was detected in species richness between the which compares the composition and diversity of the gut three age groups (Kruskal-Wallis chi-squared = 12.215, mycobiome of geographically separated non-western indi- df = 2, p-value = 0.002). viduals with the same ethnicity. We further explored poten- tial biomarker taxa in urban and rural individuals and Two ubiquitous fungal phyla in urban and rural locations explore how these taxa vary between the two areas. Using Overall, four distinct fungal phyla were detected in extensive predictor variables collected from participants, we urban and rural gut mycobiomes, based on sequences show that geography and lifestyle structure the gut myco- with relative abundances above 0.1% (Fig. 1c). The ma- biome of rural and urban South African individuals. jority of sequences were assigned to members of the phyla Ascomycota and Basidiomycota, that constituted Results 80.7 and 6.1% of the total relative abundance, respect- Similarities and differences between urban and rural ively.

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