No abstract

No abstract

We investigated the influence of desiccation frequency, indicated by tidal position, on microbial community structure, diversity and richness of microbial mats. We independently characterized cyanobacterial, bacterial and archaeal communities, and their spatial variability for two distinct microbial mat systems: subtidal hypersaline mats and intertidal sand flat mats. Community fingerprints based on 16S rDNA were obtained via denaturing gradient gel electrophoresis using polymerase chain reaction primers specific for each group. Fingerprints for all three groups were consistently similar [> or =85% according to Weighted Pair Group with Arithmetic Mean (WPGMA) analysis] along a 1-km-long transect in subtidal mats. Here, pair-wise comparison analysis yielded minimal variation in diversity and richness for all groups. Fingerprints of three sites along an intertidal transect were heterogenous (> or =32% similarity according to WPGMA analysis) with clear shifts in community structure in all three microbial groups. Here, all groups exhibited statistically significant decreases in richness and diversity with tidal height (as desiccation frequency increases). Regression analysis yielded a strong correlation between diversity or richness estimates and position along the tidal gradient, for both Archaea and Bacteria, with Cyanobacteria exhibiting a weaker correlation. These results suggest that desiccation frequency can shape the structure of microbial mat communities, with Archea being least tolerant and Cyanobacteria most tolerant.

Rice is one of the most economically important foods in the world today. The FAO has reported that managing rice processing and the resulting byproducts into more sustainable applications would be beneficial for a variety of reasons. Rice processing involves several milling stages to produce edible final products. The milling process is the most important step in rice production because it determines the nutritional, cooking, and sensory qualities of crude rice. As crude rice goes through the milling process, byproducts are generated, such as bran that have been shown to exhibit beneficial impacts on human and animal nutrition. While several rice byproducts have applications in agriculture, rice bran has probably received the most attention for its functional properties. Rice bran is a mixture of protein, fat, ash, and crude fiber. However, rice bran's composition is largely dependent on the type of rice and the efficiency of the milling system. Based on studies with mice, rice bran has been shown to elicit prebiotic-like properties by preventing colonization of Salmonella in the gastrointestinal tract. More recently, in vitro incubation studies with chicken cecal contents have demonstrated that certain rice varieties are more inhibitory to Salmonella than others. Moreover, the byproducts of the rice milling process can also provide an economic boost for rice producing nations. In this review, the byproducts of the milling process, how they are utilized, and potential application for rice milling byproducts are discussed.

Microbial populations within poultry litter have been largely ignored with the exception of potential human or livestock pathogens. A better understanding of the community structure and identity of the microbial populations within poultry litter could aid in the development of management practices that would reduce populations responsible for toxic air emissions and pathogen incidence. In this study, poultry litter air and physical properties were correlated to shifts in microbial community structure as analyzed by principal component analysis (PCA) and measured by denaturing gradient gel electrophoresis (DGGE). Litter samples were taken in a 36-point grid pattern at 5 m across and 12 m down a 146 m x 12.8 m chicken house. At each sample point, physical parameters such as litter moisture, pH, air and litter temperature, and relative humidity were recorded, and samples were taken for molecular analysis. The DGGE analysis showed that the banding pattern of samples from the back and water/feeder areas of poultry house were distinct from those of samples from other areas. There were distinct clusters of banding patterns corresponding to the front, middle front, middle back, back, and waterer/feeder areas. The PCA analysis showed similar cluster patterns, but with more distinct separation of the front and midhouse samples. The PCA analysis also showed that moisture content and litter temperature (accounting for 51.5 and 31.5% of the separation of samples, respectively) play a major role in spatial diversity of microbial community in the poultry house. Based on analysis of DGGE fingerprints and cloned DGGE band sequences, there appear to be differences in the types of microorganisms over the length of the house, which correspond to differences in the physical properties of the litter.

Alum [Al(2)(SO(4))(3).14H(2)O] is a common poultry litter amendment used to decrease water-soluble phosphorus or reduce ammonia volatilization, or both. Although the physiochemical effects of alum addition have been well researched, little attention has been given to the poultry litter microbial communities. The goal of this study was to use molecular biological methods [denaturing gradient gel electrophoresis (DGGE), community cloning, and quantitative real-time PCR] to characterize general, group-specific and pathogenic microbial communities in alum (10% wt/wt) and non-alum-treated litter. According to quantitative real-time PCR analyses, alum addition to the poultry litter resulted in significant reductions in both Campylobacter jejuni and Escherichia coli concentrations by the end of the first month of the experiment (3 log and 2 log, respectively). The concentrations of Salmonella spp. were below detection (<5 x 10(3) cell.g(-1) of litter) for the entire experiment. The DGGE analyses revealed significant reductions in the Clostridium/Eubacterium and low %GC gram-positive groups in the alum-treated litters by the end of the first month, with no bands detectable for either group after 8 wk of incubation. Conversely, minimal effects of alum addition were observed in the Actinomycetes community. The most significant shift in the microbial community (based on DGGE analyses) occurred in the fungal population, with a large increase in diversity and abundance within 1 mo of alum addition (1 dominant band on d 0 to 9 dominant bands at 4 wk). Specifically, the incidence of Aspergillus spp. increased from 0 to 50% of the sequences in fungal clone libraries (n = 80) over the course of the experiment. This suggests that the addition of alum to poultry litter potentially shifts the microbial populations from bacterially dominated to dominated by fungi. The ramifications of this shift in dominance are still unknown, and future work will be aimed at characterizing these fungi and elucidating their role in the acidified litter environment.

The use of antibiotics in agroecosystems has been implicated in the rise in antibiotic resistance (AR), which can affect environmental, animal, and human health. To determine the environmental impact of antibiotic use in agroecosystems, appropriate background levels of AR in agricultural environments in the absence of antibiotic application must be determined. Therefore, to determine background levels of AR in broiler production, four target microbes (, , , and ) were isolated from 15 all-natural, antibiotic-free, pasture-raised broiler flocks from six farms within the southeastern United States. The AR profiles of these isolates were characterized using the CDC National Antimicrobial Resistance Monitoring System for Enteric Bacteria (NARMS), and these resistance patterns were compared across target microbes and farms and throughout the life cycle of the flocks along the farm-to-fork continuum. Antibiotic resistances were most prevalent in and and least prevalent in . Although and were isolated from the same farms and characterized using the same NARMS plates, they exhibited distinct AR profiles, with demonstrating clear farm-specific resistance patterns. Multidrug resistance rates (three or more antibiotics), in order of prevalence, were (63.9%), (36.0%), (12.7%), and (1.4%). The results of this study demonstrate the variability in background AR among major food safety-related microbes, even when isolated from similar production and processing samples from the same farms, and indicate the need for the proper design of future broiler production studies to account for this highly dynamic background AR.

The presence of antibiotic drug residues, antibiotic resistant bacteria, and antibiotic resistance genes in agroecosystems has become a significant area of research in recent years and is a growing public health concern. While antibiotics are used in both human medicine and agricultural practices, the majority of their use occurs in animal production where historically they have been used for growth promotion, in addition to the prevention and treatment of disease. The widespread use of antibiotics and the application of animal wastes to agricultural lands play major roles in the introduction of antibiotic‐related contamination into the environment. Overt toxicity in organisms directly exposed to antibiotics in agroecosystems is typically not a major concern because environmental concentrations are generally lower than therapeutic doses. However, the impacts of introducing antibiotic contaminants into the environment are unknown, and concerns have been raised about the health of humans, animals, and ecosystems. Despite increased research focused on the occurrence and fate of antibiotics and antibiotic resistance over the past decade, standard methods and practices for analyzing environmental samples are limited and future research needs are becoming evident. To highlight and address these issues in detail, this special collection of papers was developed with a framework of five core review papers that address the (i) overall state of science of antibiotics and antibiotic resistance in agroecosystems using a causal model, (ii) chemical analysis of antibiotics found in the environment, (iii) need for background and baseline data for studies of antibiotic resistance in agroecosystems with a decision‐making tool to assist in designing research studies, as well as (iv) culture‐ and (v) molecular‐based methods for analyzing antibiotic resistance in the environment. With a focus on the core review papers, this introduction summarizes the current state of science for analyzing antibiotics and antibiotic resistance in agroecosystems, discusses current knowledge gaps, and develops future research priorities. This introduction also contains a glossary of terms used in the core reivew papers of this special section. The purpose of the glossary is to provide a common terminology that clearly characterizes the concepts shared throughout the narratives of each review paper. Core Ideas Antibiotic resistant bacteria are an emerging threat to human, animal, and ecological health. Agroecosystems often contain elevated levels of antibiotics and antibiotic resistance. The impact of antibiotics at low concentrations in the environment is not fully known. Research is needed to understand the spread of antibiotic resistance within and beyond agroecosystems. Standardized approaches will help bring a consensus among scientific community datasets.