Peter W. Bergholz

Landscape and Meteorological Factors Affecting Prevalence of Three Food-Borne Pathogens in Fruit and Vegetable Farms

ABSTRACT Produce-related outbreaks have been traced back to the preharvest environment. A longitudinal study was conducted on five farms in New York State to characterize the prevalence, persistence, and diversity of food-borne pathogens in fresh produce fields and to determine landscape and meteorological factors that predict their presence. Produce fields were sampled four times per year for 2 years. A total of 588 samples were analyzed for Listeria monocytogenes, Salmonella, and Shiga toxin-producing Escherichia coli (STEC). The prevalence measures of L. monocytogenes, Salmonella, and STEC were 15.0, 4.6, and 2.7%, respectively. L. monocytogenes and Salmonella were detected more frequently in water samples, while STEC was detected with equal frequency across all sample types (soil, water, feces, and drag swabs). L. monocytogenes sigB gene allelic types 57, 58, and 61 and Salmonella enterica serovar Cerro were repeatedly isolated from water samples. Soil available water storage (AWS), temperature, and proximity to three land cover classes (water, roads and urban development, and pasture/hay grass) influenced the likelihood of detecting L. monocytogenes. Drainage class, AWS, and precipitation were identified as important factors in Salmonella detection. This information was used in a geographic information system framework to hypothesize locations of environmental reservoirs where the prevalence of food-borne pathogens may be elevated. The map indicated that not all croplands are equally likely to contain environmental reservoirs of L. monocytogenes. These findings advance recommendations to minimize the risk of preharvest contamination by enhancing models of the environmental constraints on the survival and persistence of food-borne pathogens in fields.

The Genome Sequence of Psychrobacter arcticus 273-4, a Psychroactive Siberian Permafrost Bacterium, Reveals Mechanisms for Adaptation to Low-Temperature Growth

ABSTRACT Psychrobacter arcticus strain 273-4, which grows at temperatures as low as −10°C, is the first cold-adapted bacterium from a terrestrial environment whose genome was sequenced. Analysis of the 2.65-Mb genome suggested that some of the strategies employed by P. arcticus 273-4 for survival under cold and stress conditions are changes in membrane composition, synthesis of cold shock proteins, and the use of acetate as an energy source. Comparative genome analysis indicated that in a significant portion of the P. arcticus proteome there is reduced use of the acidic amino acids and proline and arginine, which is consistent with increased protein flexibility at low temperatures. Differential amino acid usage occurred in all gene categories, but it was more common in gene categories essential for cell growth and reproduction, suggesting that P. arcticus evolved to grow at low temperatures. Amino acid adaptations and the gene content likely evolved in response to the long-term freezing temperatures (−10°C to −12°C) of the Kolyma (Siberia) permafrost soil from which this strain was isolated. Intracellular water likely does not freeze at these in situ temperatures, which allows P. arcticus to live at subzero temperatures.

Psychrobacter arcticus 273-4 Uses Resource Efficiency and Molecular Motion Adaptations for Subzero Temperature Growth

Permafrost soils are extreme environments that exert low-temperature, desiccation, and starvation stress on bacteria over thousands to millions of years. To understand how Psychrobacter arcticus 273-4 survived for >20,000 years in permafrost, transcriptome analysis was performed during growth at 22 degrees C, 17 degrees C, 0 degrees C, and -6 degrees C using a mixed-effects analysis of variance model. Genes for transcription, translation, energy production, and most biosynthetic pathways were downregulated at low temperatures. Evidence of isozyme exchange was detected over temperature for D-alanyl-D-alanine carboxypeptidases (dac1 and dac2), DEAD-box RNA helicases (csdA and Psyc_0943), and energy-efficient substrate incorporation pathways for ammonium and acetate. Specific functions were compensated by upregulation of genes at low temperature, including genes for the biosynthesis of proline, tryptophan, and methionine. RNases and peptidases were generally upregulated at low temperatures. Changes in energy metabolism, amino acid metabolism, and RNase gene expression were consistent with induction of a resource efficiency response. In contrast to results observed for other psychrophiles and mesophiles, only clpB and hsp33 were upregulated at low temperature, and there was no upregulation of other chaperones and peptidyl-prolyl isomerases. relA, csdA, and dac2 knockout mutants grew more slowly at low temperature, but a dac1 mutant grew more slowly at 17 degrees C. The combined data suggest that the basal biological machinery, including translation, transcription, and energy metabolism, is well adapted to function across the growth range of P. arcticus from -6 degrees C to 22 degrees C, and temperature compensation by gene expression was employed to address specific challenges to low-temperature growth.

Environmental Patterns Are Imposed on the Population Structure of Escherichia coli after Fecal Deposition

ABSTRACT The intestinal microbe Escherichia coli is subject to fecal deposition in secondary habitats, where it persists transiently, allowing for the opportunity to colonize new hosts. Selection in the secondary habitat can be postulated, but its impact on the genomic diversity of E. coli is unknown. Environmental selective pressure on extrahost E. coli can be revealed by landscape genetic analysis, which examines the influences of dispersal processes, landscape features, and the environment on the spatiotemporal distribution of genes in natural populations. We conducted multilocus sequence analysis of 353 E. coli isolates from soil and fecal samples obtained in a recreational meadow to examine the ecological processes controlling their distributions. Soil isolates, as a group, were not genetically distinct from fecal isolates, with only 0.8% of genetic variation and no fixed mutations attributed to the isolate source. Analysis of the landscape genetic structure of E. coli populations showed a patchy spatial structure consistent with patterns of fecal deposition. Controlling for the spatial pattern made it possible to detect environmental gradients of pH, moisture, and organic matter corresponding to the genetic structure of E. coli in soil. Ecological distinctions among E. coli subpopulations (i.e., E. coli reference collection [ECOR] groups) contributed to variation in subpopulation distributions. Therefore, while fecal deposition is the major predictor of E. coli distributions on the field scale, selection imposed by the soil environment has a significant impact on E. coli population structure and potentially amplifies the occasional introduction of stress-tolerant strains to new host individuals by transmission through water or food.

Physiological Diversity of Rhizoplane Diazotrophs of the Saltmeadow Cordgrass, Spartina patens: Implications for Host Specific Ecotypes

Diazotrophic bacteria are important contributors to salt marsh productivity, but the biotic and abiotic factors that influence their distributions and function and the extent of their diversity cannot be understood in the absence of physiological information. Here we examine the physiological diversity and distribution patterns of diazotrophic bacteria associated with the rhizoplane of the saltmeadow cordgrass, Spartina patens, in comparison with diazotrophs from other intertidal grasses (tall and short form Spartina alterniflora and Juncus roemerianus) from the same salt marsh. S. patens plants were collected from two distinct habitats, and a total of 115 strains (111 Gram negative and 4 Gram positive strains) were isolated into pure culture by stab inoculating roots and rhizomes into combined nitrogen-free semisolid media. Most strains were microaerophilic and approximately one-half were motile. API test strips were used to eliminate redundancy within the culture collection, resulting in 21 physiologically different API groups (17 Gram negative and 4 Gram positive groups). A representative strain from each API group was selected for dot blot hybridization with a nifH specific probe and 16 strains (13 Gram negative and 3 Gram positive) were scored as positive. The nifH positive API group representative strains were characterized further using BIOLOG test plates. Substrate utilization potentials defined two S. patens strain clusters, and only one S. patens strain was physiologically similar to any other strain from a different host plant origin. No distinctions could be made based on the different S. patens habitats, suggesting that the host plant may have a greater impact than abiotic environmental conditions on the distributions of the rhizoplane diazotrophs recovered.

Influence of host plant-derived and abiotic environmental parameters on the composition of the diazotroph assemblage associated with roots of Juncus roemerianus.

Environmental factors governing the distributions of plant root-associated bacteria are poorly understood. Most plant species occurring in salt marsh estuaries are restricted to very specific habitats within the marsh and plant-derived and abiotic environmental features covary. We examined diazotrophic bacteria inhabiting the rhizoplanes of different populations of the black needlerush, Juncus roemerianus, growing in two different habitats, in order to examine the relative influence of plant-derived and abiotic environmental parameters on diazotroph assemblage composition. Juncus roots were collected from a monotypic Juncus patch in the low intertidal marsh, and from the main monotypic Juncus stand in the high marsh. A total of 235 bacterial pure cultures were isolated from the roots using combined nitrogen-free media. Physiologically similar strains were grouped, producing 58 different groups. Strains representing 49 of these groups tested positive for nifH, and substrate utilization profiles of these strains were compared quantitatively. Three major substrate utilization clusters were identified and all contained both Juncus patch and main stand isolates. Denaturing gradient gel electrophoresis analysis of nifH amplicons recovered from roots and from vegetated sediments taken from the main stand and from two patches was also performed. Juncus root nifH amplicon profiles from all three sampling sites were very similar. Profiles of amplicons from vegetated sediments were also similar across sites, but less similar than the root profiles. Results from two independent methodological approaches indicated a strong impact of the plant host relative to that of the abiotic environment on the composition of the root-associated diazotroph assemblage.

Seasonal Variability of Diazotroph Assemblages Associated with the Rhizosphere of the Salt Marsh Cordgrass, Spartina alterniflora

Nitrogen fixation is the primary N source in the highly productive but N-limited North Inlet, SC, USA salt marsh system. The diverse assemblages of nitrogen-fixing (diazotrophic) bacteria associated with the rhizospheres of the short and tall growth forms of Spartina alterniflora were analyzed at two sites, Crab Haul Creek and Goat Island, which are in different tidal creek drainage systems in this marsh. The sites differed in proximity to the main channel for tidal intrusion and in several edaphic parameters. We hypothesized that either the differing abiotic environmental regimes of the two sites or the variation due to seasonal effects result in differences in the diazotroph assemblage. Rhizosphere samples were collected seasonally during 1999 and 2000. DNA was purified and nifH amplified for denaturing gradient gel electrophoresis (DGGE) analysis of diazotroph assemblage composition. Principal components analysis was used to analyze the binary DGGE band position data. Season strongly influenced assemblage composition and biplots were used to identify bands that significantly affected the seasonal and site-specific clustering. The types of organisms that were most responsive to seasonal or site variability were identified on the basis of DGGE band sequences. Seasonally responsive members of the anaerobic diazotrophs were detected during the winter and postsenescence conditions and may have been responsible for elevated pore water sulfide concentrations. Sequences from a diverse assemblage of Gammaproteobacteria were predominant during growth periods of S. alterniflora. Abiotic environmental parameters strongly influenced both the S. alterniflora and the diazotrophic bacterial assemblages associated with this keystone salt marsh plant species.

Validation of a Previously Developed Geospatial Model That Predicts the Prevalence of Listeria monocytogenes in New York State Produce Fields

ABSTRACT Technological advancements, particularly in the field of geographic information systems (GIS), have made it possible to predict the likelihood of foodborne pathogen contamination in produce production environments using geospatial models. Yet, few studies have examined the validity and robustness of such models. This study was performed to test and refine the rules associated with a previously developed geospatial model that predicts the prevalence of Listeria monocytogenes in produce farms in New York State (NYS). Produce fields for each of four enrolled produce farms were categorized into areas of high or low predicted L. monocytogenes prevalence using rules based on a fields available water storage (AWS) and its proximity to water, impervious cover, and pastures. Drag swabs (n = 1,056) were collected from plots assigned to each risk category. Logistic regression, which tested the ability of each rule to accurately predict the prevalence of L. monocytogenes, validated the rules based on water and pasture. Samples collected near water (odds ratio [OR], 3.0) and pasture (OR, 2.9) showed a significantly increased likelihood of L. monocytogenes isolation compared to that for samples collected far from water and pasture. Generalized linear mixed models identified additional land cover factors associated with an increased likelihood of L. monocytogenes isolation, such as proximity to wetlands. These findings validated a subset of previously developed rules that predict L. monocytogenes prevalence in produce production environments. This suggests that GIS and geospatial models can be used to accurately predict L. monocytogenes prevalence on farms and can be used prospectively to minimize the risk of preharvest contamination of produce.

Salmonella phages isolated from dairy farms in Thailand show wider host range than a comparable set of phages isolated from U.S. dairy farms

Salmonella is a zoonotic pathogen with globally distributed serovars as well as serovars predominantly found in certain regions; for example, serovar Weltevreden is rarely isolated in the U.S., but is common in Thailand. Relative to our understanding of Salmonella diversity, our understanding of the global diversity of Salmonella phages is limited. We hypothesized that the serovar diversity in a given environment and farming system will affect the Salmonella phage diversity associated with animal hosts. We thus isolated and characterized Salmonella phages from 15 small-scale dairy farms in Thailand and compared the host ranges of the 62 Salmonella phage isolates obtained with host range diversity for 129 phage isolates obtained from dairy farms in the U.S. The 62 phage isolates from Thailand represented genome sizes ranging from 40 to 200 kb and showed lysis of 6-25 of the 26 host strains tested (mean number of strain lysed=19). By comparison, phage isolates previously obtained in a survey of 15 U.S. dairy farms showed a narrow host range (lysis of 1-17; mean number of strains lysed=4); principal coordinate analysis also confirmed U.S. and Thai phages had distinct host lysis profiles. Our data indicate that dairy farms that differ in management practices and are located on different continents can yield phage isolates that differ in their host ranges, providing an avenue for isolation of phages with desirable host range characteristics for commercial applications. Farming systems characterized by coexistence of different animals may facilitate presence of Salmonella phages with wide host ranges.

Spatiotemporal Analysis of Microbiological Contamination in New York State Produce Fields following Extensive Flooding from Hurricane Irene, August 2011.

Although flooding introduces microbiological, chemical, and physical hazards onto croplands, few data are available on the spatial extent, patterns, and development of contamination over time postflooding. To address this paucity of information, we conducted a spatially explicit study of Escherichia coli and Salmonella contamination prevalence and genetic diversity in produce fields after the catastrophic flooding that occurred in New England during 2011. Although no significant differences were detected between the two participating farms, both random forest and logistic regression revealed changes in the spatial pattern of E. coli contamination in drag swab samples over time. Analyses also indicated that E. coli detection was associated with changes in farm management to remediate the land after flooding. In particular, E. coli was widespread in drag swab samples at 21 days postflooding, but the spatial pattern changed by 238 days postflooding such that E. coli was then most prevalent in close proximity to surface water features. The combined results of several population genetics analyses indicated that over time postflooding E. coli populations on the farms (i) changed in composition and (ii) declined overall. Salmonella was primarily detected in surface water features, but some Salmonella strains were isolated from soil and drag swab samples at 21 and 44 days postflooding. Although postflood contamination and land management responses should always be evaluated in the context of each unique farm landscape, our results provide quantitative data on the general patterns of contamination after flooding and support the practice of establishing buffer zones between flood-contaminated cropland and harvestable crops in produce fields.