Soil Properties and Moisture Synergistically Influence Nontuberculous Mycobacterial Prevalence in Natural Environments of Hawai’i

Nontuberculous mycobacteria (NTM) are ubiquitous in the environment, being found commonly in soils and natural bodies of freshwater. However, little is known about the environmental niches of NTM and how they relate to NTM prevalence in homes and other human-dominated areas. ABSTRACT Nontuberculous mycobacteria (NTM) are opportunistic pathogens that cause chronic pulmonary disease (PD). NTM infections are thought to be acquired from the environment; however, the basal environmental factors that drive and sustain NTM prevalence are not well understood. The highest prevalence of NTM PD cases in the United States is reported from Hawai’i, which is unique in its climate and soil composition, providing an opportunity to investigate the environmental drivers of NTM prevalence. We used microbiological sampling and spatial logistic regression complemented with fine-scale soil mineralogy to model the probability of NTM presence across the natural landscape of Hawai’i. Over 7 years, we collected and microbiologically cultured 771 samples from 422 geographic sites in natural areas across the Hawaiian Islands for the presence of NTM. NTM were detected in 210 of these samples (27%), with Mycobacterium abscessus being the most frequently isolated species. The probability of NTM presence was highest in expansive soils (those that swell with water) with a high water balance (>1-m difference between rainfall and evapotranspiration) and rich in Fe-oxides/hydroxides. We observed a positive association between NTM presence and iron in wet soils, supporting past studies, but no such association in dry soils. High soil-water balance may facilitate underground movement of NTM into the aquifer system, potentially compounded by expansive capabilities allowing crack formation under drought conditions, representing further possible avenues for aquifer infiltration. These results suggest both precipitation and soil properties are mechanisms by which surface NTM may reach the human water supply. IMPORTANCE Nontuberculous mycobacteria (NTM) are ubiquitous in the environment, being found commonly in soils and natural bodies of freshwater. However, little is known about the environmental niches of NTM and how they relate to NTM prevalence in homes and other human-dominated areas. To characterize NTM environmental associations, we collected and cultured 771 samples from 422 geographic sites in natural areas across Hawai’i, the U.S. state with the highest prevalence of NTM pulmonary disease. We show that the environmental niches of NTM are most associated with highly expansive, moist soils containing high levels of iron oxides/hydroxides. Understanding the factors associated with NTM presence in the natural environment will be crucial for identifying potential mechanisms and risk factors associated with NTM infiltration into water supplies, which are ultimately piped into homes where most exposure risk is thought to occur.

[1]  Liang Ma,et al.  Effects of shell sand content on soil physical properties and salt ions under simulated rainfall leaching , 2022, Geoderma.

[2]  E. Chan,et al.  Exposure Pathways of Nontuberculous Mycobacteria Through Soil, Streams, and Groundwater, Hawai'i, USA , 2021, GeoHealth.

[3]  E. Chan,et al.  Lower Recovery of Nontuberculous Mycobacteria from Outdoor Hawai’i Environmental Water Biofilms Compared to Indoor Samples , 2021, Microorganisms.

[4]  J. Sinton,et al.  Geologic map of the State of Hawaii , 2021, Scientific Investigations Map.

[5]  K. Messier,et al.  Environmental risk factors associated with pulmonary isolation of nontuberculous mycobacteria, a population-based study in the southeastern United States. , 2020, The Science of the total environment.

[6]  S. Guikema,et al.  Emerging investigator series: bacterial opportunistic pathogen gene markers in municipal drinking water are associated with distribution system and household plumbing characteristics , 2020, Environmental Science: Water Research & Technology.

[7]  E. Chan,et al.  Assessment of Soil Features on the Growth of Environmental Nontuberculous Mycobacterial Isolates from Hawai'i , 2020, Applied and Environmental Microbiology.

[8]  J. Falkinham,et al.  Physical Measures to Reduce Exposure to Tap Water–Associated Nontuberculous Mycobacteria , 2020, Frontiers in Public Health.

[9]  J. Crooks,et al.  Nontuberculous Mycobacterial Disease and Molybdenum in Colorado Watersheds , 2020, International journal of environmental research and public health.

[10]  L. Bermudez,et al.  Exposure of Mycobacterium abscessus to Environmental Stress and Clinically Used Antibiotics Reveals Common Proteome Response among Pathogenic Mycobacteria , 2020, Microorganisms.

[11]  R. Hasan,et al.  Nontuberculous Mycobacterial Infections - a neglected and emerging problem. , 2020, International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases.

[12]  M. Strong,et al.  A scalable, efficient, and safe method to prepare high quality DNA from mycobacteria and other challenging cells , 2020, Journal of clinical tuberculosis and other mycobacterial diseases.

[13]  M. Dirac,et al.  Association between Mycobacterium avium Complex Pulmonary Disease and Mycobacteria in Home Water and Soil , 2020, Annals of the American Thoracic Society.

[14]  Matthew J. Gebert,et al.  A Global Survey of Mycobacterial Diversity in Soil , 2019, Applied and Environmental Microbiology.

[15]  E. Chan,et al.  Global Environmental Nontuberculous Mycobacteria and Their Contemporaneous Man-Made and Natural Niches , 2018, Front. Microbiol..

[16]  Matthew J. Gebert,et al.  Ecological Analyses of Mycobacteria in Showerhead Biofilms and Their Relevance to Human Health , 2018, mBio.

[17]  Christa Boer,et al.  Correlation Coefficients: Appropriate Use and Interpretation , 2018, Anesthesia and analgesia.

[18]  D. Manley,et al.  Confounding and collinearity in regression analysis: a cautionary tale and an alternative procedure, illustrated by studies of British voting behaviour , 2017, Quality & Quantity.

[19]  F. Maruyama,et al.  Infection Sources of a Common Non-tuberculous Mycobacterial Pathogen, Mycobacterium avium Complex , 2017, Front. Med..

[20]  A. K. Misra,et al.  Crack Formation in a Swell–Shrink Soil Under Various Managements , 2016, Agricultural Research.

[21]  L. Morawska,et al.  Emergence and spread of a human-transmissible multidrug-resistant nontuberculous mycobacterium , 2016, Science.

[22]  Myra,et al.  Environmental Nontuberculous Mycobacteria in the Hawaiian Islands , 2016, PLoS neglected tropical diseases.

[23]  T. Hirai,et al.  Impact of industrial structure and soil exposure on the regional variations in pulmonary nontuberculous mycobacterial disease prevalence , 2016, International journal of mycobacteriology.

[24]  T. Giambelluca,et al.  Comparison of geostatistical approaches to spatially interpolate month‐year rainfall for the Hawaiian Islands , 2016 .

[25]  E. Chan,et al.  Comparing the temporal colonization and microbial diversity of showerhead biofilms in Hawai'i and Colorado. , 2016, FEMS microbiology letters.

[26]  M. Kobierski,et al.  Iron oxides as weathering indicator and the origin of Luvisols from the Vistula glaciation region in Poland , 2016, Journal of Soils and Sediments.

[27]  A. Rajić,et al.  A Scoping Review of the Role of Wildlife in the Transmission of Bacterial Pathogens and Antimicrobial Resistance to the Food Chain , 2015, Zoonoses and public health.

[28]  D. R. Prevots,et al.  Epidemiology of human pulmonary infection with nontuberculous mycobacteria: a review. , 2015, Clinics in chest medicine.

[29]  E. Garman,et al.  A complex iron-calcium cofactor catalyzing phosphotransfer chemistry , 2014, Science.

[30]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[31]  Andrew O. Finley,et al.  spBayes for Large Univariate and Multivariate Point-Referenced Spatio-Temporal Data Models , 2013, 1310.8192.

[32]  M. Hargreaves,et al.  Mycobacterium abscessus isolated from municipal water - a potential source of human infection , 2013, BMC Infectious Diseases.

[33]  S. Nelson,et al.  The denudation of ocean islands by ground and surface waters: The effects of climate, soil thickness, and water contact times on Oahu, Hawaii , 2013 .

[34]  S. Holland,et al.  Prevalence of nontuberculous mycobacterial lung disease in U.S. Medicare beneficiaries. , 2012, American journal of respiratory and critical care medicine.

[35]  A. Jiménez‐Valverde Insights into the area under the receiver operating characteristic curve (AUC) as a discrimination measure in species distribution modelling , 2012 .

[36]  J. Falkinham Nontuberculous Mycobacteria from Household Plumbing of Patients with Nontuberculous Mycobacteria Disease , 2011, Emerging infectious diseases.

[37]  T. Cajthaml,et al.  Distribution of microbial biomass and activity of extracellular enzymes in a hardwood forest soil reflect soil moisture content , 2010 .

[38]  D. van Soolingen,et al.  Environmental sources of rapid growing nontuberculous mycobacteria causing disease in humans. , 2009, Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases.

[39]  A. Butler,et al.  Microbial iron acquisition: marine and terrestrial siderophores. , 2009, Chemical reviews.

[40]  S. Brantley,et al.  Approaches to Modeling Weathered Regolith , 2009 .

[41]  H. Bril,et al.  Effect of mineralogy and pedoclimatic variations on Ni and Cr distribution in serpentine soils under temperate climate , 2007 .

[42]  G. Hatfull,et al.  The role of iron in Mycobacterium smegmatis biofilm formation: the exochelin siderophore is essential in limiting iron conditions for biofilm formation but not for planktonic growth , 2007, Molecular microbiology.

[43]  Cheng-Haw Lee,et al.  Estimation of groundwater recharge using water balance model , 2007 .

[44]  N. Pace,et al.  Relationships between Mycobacterium Isolates from Patients with Pulmonary Mycobacterial Infection and Potting Soils , 2006, Applied and Environmental Microbiology.

[45]  S. Duggirala,et al.  Iron enhances the susceptibility of pathogenic mycobacteria to isoniazid, an antitubercular drug , 2006 .

[46]  T. Parkin,et al.  Anaerobic processes in soil , 1984, Plant and Soil.

[47]  Mikrark Illuminator,et al.  Igneous and Metamorphic Petrology , 1983, Mineralogical Magazine.

[48]  C. Ratledge Iron, mycobacteria and tuberculosis. , 2004, Tuberculosis.

[49]  P. Maurice,et al.  Growth of Pseudomonas mendocina on Fe(III) (Hydr)Oxides , 2001, Applied and Environmental Microbiology.

[50]  Robert H. Taylor,et al.  Chlorine, Chloramine, Chlorine Dioxide, and Ozone Susceptibility of Mycobacterium avium , 2000, Applied and Environmental Microbiology.

[51]  L. Zelazny,et al.  An expansive soil index for predicting shrink-swell potential. , 2000 .

[52]  F. Luizão,et al.  Evidence of titanium mobility in soil profiles, Manaus, central Amazonia , 1999 .

[53]  G. Stelma,et al.  Occurrence of Nontuberculous Mycobacteria in Environmental Samples , 1999, Applied and Environmental Microbiology.

[54]  Frank Stagnitti,et al.  A model of the effects of nonuniform soil-water distribution on the subsurface migration of bacteria: Implications for land disposal of sewage , 1999 .

[55]  R. Carbone,et al.  Trade Wind Rainfall near the Windward Coast of Hawaii , 1998 .

[56]  D B Rubin,et al.  Markov chain Monte Carlo methods in biostatistics , 1996, Statistical methods in medical research.

[57]  M. McNeil,et al.  The medically important aerobic actinomycetes: epidemiology and microbiology , 1994, Clinical Microbiology Reviews.

[58]  D. Rubin,et al.  Inference from Iterative Simulation Using Multiple Sequences , 1992 .

[59]  M. Falk Geology of the Hawaiian Islands , 1990 .

[60]  Jean D. Gibbons,et al.  Kolmogorov-Smirnov Two-Sample Tests , 1981 .

[61]  Gary Meyers,et al.  The Trade Wind Field Over the Pacific Ocean , 1975 .

[62]  M. Stone Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .

[63]  E. O. Mclean,et al.  Effect of Soil, Cover, Slope, and Rainfall Factors on Soil and Phosphorus Movement Under Simulated Rainfall Conditions1 , 1973 .

[64]  B. Warkentin WATER RETENTION AND SWELLING PRESSURE OF CLAY SOILS , 1962 .

[65]  L. B. Leopold,et al.  THE GEOGRAPHIC DISTRIBUTION OF AVERAGE MONTHLY RAINFALL, HAWAII* , 1951 .

[66]  P. Moran Notes on continuous stochastic phenomena. , 1950, Biometrika.