A rich range of secondary metabolites is predicted for the genomic bins

We next examined the genomic bins using antiSMASH 2.0. The majority of the clusters overall were uncategorized , followed by saccharides and fatty acids. non-ribosomal peptide synthases, bacteriocins, and terpenes, and polyketide synthases were also common. Arylpolyenes, lasso- and lantipeptides also were predicted as was one instance each of a siderophore and butyrolactone. MW5 had 229 clusters in 33 bins. MW6 had 371 clusters in 22 bins. DOM had 10 clusters in 158 bins. Notably, the CPR genomes that dominate the water samples have few predicted secondary metabolites on average. Because MW5 was dominated by these genomes, its density of clusters is correspondingly lower. However, some of the individual CPR bins are dense with bio-synthetic clusters . Thus while poor representation of CPR in existing databases may reduce utility of this approach, some of the genomes certainly have detectable clusters. Grouping the genomes phylogenetically , the most clusters occur in the Planctomycetes OM190 . A range of cluster densities was apparent in the rest of the bins. Notably, ladderane biosynthesis, a hallmark of the Planctomycetes,was detected by antiSMASH in all eight of the Planctomycete assemblies , confirming that these are all true Planctomycete genomes. AntiSMASH results show a rich diversity of secondary metabolites in the anammox genomes. Specifically enriched are fatty acids, saccharides, bacteriocins, and terpenes. The OM190 genome was additionally enriched in non-ribosomal peptide synthases, and anatoxin production was predicted. While anatoxin is known to come from cyanobacteria and not from Planctomycetes, its known bio-synthetic pathway invovles polyketide synthases,nft growing system of which 18 are predicted by antiSMASH in this genome. Thus, while this cluster does not likely encode a cyanotoxin, the biosynthetic potential of this genome could certainly produce toxic secondary metabolites.

Indeed, a large number of the predicted secondary metabolites are biologically active molecules that may target other cells in the microbial community and could potentially have side effects on mammals. We saw evidence of rich secondary metabolite biosynthetic potential in several other genomes as well. including representatives of OP3, OP11, Acidobacteria, Bacteroidales, Chlorobi, Chloroflexi, Domibacillus, Entotheonella, Leptonema, Nitrospira, Sphingomonas, Spirochaetes, and from DOM were enriched. Notably, we assembled an incomplete genome that appears to be related to cyanobacterial toxin producers. Its best RAPSEARCH hit was to a Planktothrix aghardii genome. The 500 kb fragment is rich in non-ribosomal peptide synthases, which are another toxin production system in the cyanobacteria and can poison humans. In order to confirm whether this might be a toxin producer, we built a BLAST database of microcystin genes found on NCBI and compared to the genome fragment using TBLASTX. We found numerous hits > 300 bp throughout the fragment, but the percent identity was roughly 40%, indicating that the sequences are diverged. Overall, antiSMASH predicts an enrichment in biosynthetic clusters with antimicrobial activity including bacteriocins, non-ribosomal peptide synthases, polyketide synthases, and lassopeptides. While many antibiotic compounds may have broad targets or even non-antagonistic effects, bacteriocins usually have very specific antibiotic activity, often against closely related strains. The prevalence of predicted bacteriocins in the genomes suggests direct competition between genomes. For example, the Brocadiaceae Planctomycete genomes which co-occur in MW6 are predicted to have on average one bacteriocin per genome, which could be used to compete with the related strains.Overall we find that the metagenomic communities present in groundwater reflect the measured chemical conditions: we measured high nitrogen and DOC as well as a microbial community largely dominated by nitrifier, denitrifier, and anammox bacteria .

Our analysis revealed strain-level variation within key members of this community as well as the potential for rich biosynthetic capacity. We also found evidence for niche specialization based on analysis of the genetic pathways present . Such niche specialization between species in an anammox community was recently reported for a partial nitritation anammox reactor in a wastewater treatment plant. We find evidence that a similar microbial community is present in shallow, nitrate rich groundwater, and there are multiple anammox strains within a single well. The prevalence of the anammox genomes at over 10% abundance suggests that these bacteria are major drivers of the natural geochemistry of this environment. An implicit consequence is conversion of ammonium and nitrate into nitrite and N2 gas. Additionally, nitrite-dependent anaerobic oxidation of methane may be coupled to anammox in this community, reducing potential greenhouse gas emissions.An important aspect of the present study is that the source of the nitrate is cow manure, which also carries a considerable carbon load that supports microbial metabolism. Nitrates derived from synthetic fertilizers do not carry a carbon source and thus may be associated with a considerably different microbial community. Thus, different sources of nitrate could have different potential for bioremediation. Furthermore, we must consider the source of the microbial community in the environment. The Central Valley of California was once an extensive wetland, and wetland-associated microbial communities perform nitrifier, denitrifer, n-damo, and anammox reactions. If the source of the community were different, we might expect to see a different set metabolic processes with different implications for water quality and greenhouse gas emissions.

An overlap in anaerobic nitrogen and sulfur redox reactions was shown by Canfield et al in the oxygen minimum zone of the ocean. Our metagenomic data and chemical data indicate the potential for a similar overlap in nitrogen and sulfur cycles in groundwater, with OP11 Microgenomates specifically involved through assimilatory sulfur reduction . As shown previously , nitrate levels were highest in MW5 , and lower in MW6 and DOM . The sulfate levels follow a similar trend: MW5, 68.8 ppm; MW6, 15.3 ppm; DOM 2.3 ppm. The microbial abundances and corresponding chemical pathway analysis suggest that these pathways overlap in organisms that exist in the appropriate nutrient conditions. Furthermore the presence of Candidatus Methylomirabilis with the anammox communities in MW6 and DOM supports the findings of Shen et al that denitrification may be coupled to methane oxidation, reducing potential methane emissions of degrading manure.The high abundance of anammox and associated nitrifier and denitrifier bacteria in the nitrate-rich samples suggests that excess nitrate and ammonium in groundwater may be naturally remediated [or mineralized] to N2 by the endogenous microbiota. The presence of a natural microbial community that closely resembles the nitritation-anammox active sludge community for sewage wastewater denitrification could also be taken as an indication that the shallow groundwater in the Central Valley is recharged from sources similar to sewage wastewater. Based on extensive, controlled studies of this community, e.g, it appears possible that simply by decreasing the input of manure into the groundwater, the nitrogen pollutants could decrease below harmful levels. This implication holds true in the shallow groundwater as well as in the deep groundwater, where we still see evidence of the nitritationanammox community despite lower levels of nitrate . The nitrate:DOC ratio is similar between MW5, MW6, and DOM , although the total DOC and nitrate levels are an order of magnitude different between each of the samples with MW5>>MW6>>DOM, presumably due to different levels of dilution of the manured water with recharge from the adjacent, unmanured fields. The abundance of a similar nitrifer/denitrifier and anammox microbial community in all three samples appears to mirror the total DOC and nitrate, supporting the notion that bio-remediation of nitrate and DOC scales with nutrient abundance both through direct nutrition and through community metabolism. With increased sampling,nft hydroponic system observed differences in microbial communities may aid in forensic “fingerprinting” approaches to detect sources of nitrate in groundwater.The metagenomes also indicate a potential concern, which is that the same organisms that remediate the nitrogen also produce bio-active secondary metabolites that pose potential health risks and are more difficult and expensive to remove from drinking water. Thus, as groundwater becomes a scarcer and more valuable resource, quantifying the downstream risks of organic manure fertilizer contamination in groundwater becomes a more important priority. There has been speculation about how slow growing anammox bacteria can maintain a competitive advantage over faster growing bacteria. The high abundance of secondary metabolite gene clusters in their genomes may give us a clue.

Our analysis annotated a diverse array of these gene clusters as various antimicrobials, which could of course help the slow growing anammox cells maintain their dominance in the community. Groundwater microbiomes are unique communities and their metagenomes have not been extensively mined for new biosynthesis pathways. Using anti-SMASH we computationally identified many bio-synthetic gene clusters that could produce pharmacologically interesting compounds, such as butyrolactone and antibiotics. We suggest the combination of this pharmacological diversity and the unique cell biology of anammox bacteria could make them a fruitful resource for drug discovery.While short read metagenome data can potentially provide insights into taxonomic identities of organisms, we found greatly improved taxonomic inference and functional pathway inference by using partial assembly of the short reads. For instance, while MetaPhlAn analysis gave us a good depiction of the taxonomic similarity between samples , the accuracy of assignments was not sufficient to guide the choice of reference genomes for assembly of the whole metagenome deep sequencing reads, indicating that our particular samples have a taxonomic distribution that is poorly represented in the available databases that MetaPhlAn uses. Assembly of 16S rDNA from short reads is known to be chimera-prone due to the high homology across the tree of life. Solely using EMIRGE to assemble 16S genes and then aligning to SILVA gave us a much more accurate depiction of the phylogenetic diversity in our samples. However, connecting the 16S taxonomy to the genomic bins was problematic. When we tried to link these genes to contigs in the bins using targeted assembly , we found that multiple 16S genes assembled to a given genomic bin. While we could make good guesses at which 16S gene belonged to which genomic bin, we could not make these links in an unbiased manner. Therefore, we have omitted them here. While our analysis reveals only a fraction of the inherent long-tailed distribution of taxa that occur in the groundwater, because we are interested in the major factors shaping water chemistry, the most abundant taxa are the most important to sample. Thus a sequencing depth of ~50 million PE 101 bp reads per sample is quite adequate for assessing the functional geochemistry of groundwater. However, as discussed earlier, a high amount of strain-level variation is present that our current methodologies can only address at a superficial level.We found evidence for strain-level variation in the anammox community both across samples and within bins . While making further distinctions between strains is beyond the scope of this paper, future investigations into the ecological factors that support anammox strain variation with apparently overlapping niches would help define the biology of this globally important denitrifying community. Here we find evidence that at least three related Brocadiaceae strains can coexist .We find many , highly diverse, nano-prokaryote genomes , and the abundance of these genomes amounts to over 50% of the community in MW5 . Because these organisms have been shown to lack major parts of central metabolism, this observation emphasizes the question posed by Brown et al, which is, to what extent do nano-prokaryotes exist as separate cellular entities versus spatially localized to and metabolically dependent upon other cells? Of note is the presence in the small genomes of many partial pathways that affect cellular decision-making . In particular, most of the small genomes encode homologs of flagellar chemotaxis components, which we speculate could serve to modify the cellular decision-making behavior of larger cells. We note that the greater diversity of Chloroflexi, CPR, and DPANN taxa in MW5 versus MW6 and DOM corresponds to a greater presence of nitrate, sulfate, and DOC, which is contrary to macroecological theory and empirical results that demonstrate loss of diversity with increased nutrients. Future studies could address whether these phylogenetic abundance patterns are directly tied to particular nutrients or an indirect consequence of trophic community metabolism, which could aid in optimizing ecology of wastewater treatment bioreactors.Because of the employment opportunities and economic multipliers it creates, especially during the early stages of development, agriculture has long been at the center of discussions about poverty reduction and economic development .

Employees have greater assurance of working in a safe work environment

Agriculture also needs to compete with other types of land uses with urbanization being an important driver of agricultural land loss. By converting arable lands to a barren desert, desertification is a growing global concern, particularly in the MENA region and Iran. The redistribution of croplands from the low-quality lands to more suitable ones has potentials to improve crop yields and the sustainability of agriculture in Iran. A recent global-scale study concluded that by reallocating croplands to suitable environmental conditions, the global biomass production could increase by 30% even without any land expansion. However, reallocation planning requires accurate mapping of croplands, which is not currently available for Iran. Inefficient agricultural practices in unsuitable lands need to be avoided as they produce little yields at the cost of exacerbating land degradation and water scarcity problem. Our estimations shows that rainfed wheat production from a small acreage of 1.0 million ha in the medium suitability class can equal that from 5.5 million ha of lands in unsuitable or very poor areas . Although this conclusion may not hold for other crops grown in Iran, the wheat crop could be a good candidate to make such a generalization as wheat is the most widely cultivated crop in the country and is considered as a very low demanding plant, which has adapted to a broad range of contrasting environments. Redistribution of croplands, however,nft hydroponic system will not be a trivial task for both the Iranian decision makers and stakeholders due to various socio-economic and logistic barriers. Lands found suitable for agriculture may not be easily accessible if scattered sparsely or occur in remote areas.

Given the land and water limitations, increasing the crop production in Iran needs to be achieved through sustainable intensification, which has been found a promising approach for ensuring food security in several global-scale studies. As such, it is of vital importance for Iran to properly use its limited agricultural lands, improve water use efficiency, optimize crop pattern distribution, and adopt modern cultivation techniques. Practicing certain industrial agriculture methods in the unsuitable lands might be a viable strategy to sustainably maintain these lands in the agricultural sector while avoiding the potential socio-economic and political costs associated with redistribution of agricultural lands and farming populations. For example, protected agriculture can be established at some of these locations to cope with both land suitability and water availability constraints. While water insufficiency is a major limiting factor for both field and protected farming, the latter will be affected to a lesser extent. Our suitability assessment is based on a general set of requirements known to affect the productivity of a large number of crops, but there would exist crops with exceptional adaptive traits that can grow under less favourable conditions. Although we used the most updated geospatial data at the finest available resolution, the result of our suitability analysis should be interpreted in commensuration with the reliability and quality of the original data. For example, whereas the GlobCover database reliably maps the distribution of forests and rangelands in Iran, our visual inspection of satellite images showed that sometimes their utilized method lacks the required precision to distinguish cultivated from uncultivated croplands. Although soil erosion was not directly incorporated into our analysis, the use of slope at the very high resolution implicitly accounts for this effect. The interaction between variables and the quality of subsoil are among other factors that can be considered in the future studies.

This study used precipitation as the only water availability factor. Including surface water and groundwater availability can further improve the adequacy of the land evaluation analysis. Given the good correlation between water availability and land suitability for agriculture, the general findings of this study are not expected to change significantly by the inclusion of water availability conditions. Nevertheless, due to the current water shortage constraints across the country, the potential agricultural capacity of the country is likely to decrease when water availability is added to the analysis. Although global projections suggest that the suitable lands may expand with climate changes, how these changes, particularly in precipitation pattern, would affect the suitability of Iran’s land for crop production in the future is subject to high degree of uncertainty and needs further work.Agriculture is one of the most important industries in California, enjoying over $22 billion in farm cash receipts annually. In addition to economic benefits, national and state data show that agriculture is one of the most dangerous industries with respect to occupational illnesses and injuries. Because Latino and Latina workers provide the majority of production labor in the industry, they are at uniquely increased risk for occupational injury and illness. Regulation of the agricultural workplace is under the purview of several federal, state, and local agencies, including the U.S. Department of Labor, Occupational Safety and Health Administration, State of California , Department of Industrial Relations, Department of Pesticide Regulation, U.S. Environmental Protection Agency, county health departments, county agricultural commissioners, and the California Highway Patrol . The fragmentation of regulatory activities causes inefficiency and confusion on the part of employers, employees, and regulators. In particular, lack of information sharing between agencies leads to ineffective enforcement and educational efforts. Consequently, a pilot program was begun in 1992 that partnered agencies to improve efficiency through sharing of resources and information. The program, intended to target industries with a history of regulatory problems, was named the Targeted Industries Partnership Program . Agriculture and garment manufacturing were chosen as targeted industries because of their importance for California and their history of regulatory problems.

TIPP is jointly administered by the California Labor Commissioner’s Office and the U.S. Department of Labor, Wage and Hour Division . Participating agencies include the Department of Industrial Relations, Division of Labor Standards Enforcement ; the Employment Development Department ; and Cal-OSHA. During any given TIPP activity, up 10 twelve agencies may be involved. This coordinated approach helps to weave together what would otherwise be a haphazard patchwork of regulatory activity. Specific violations addressed by the TD?P inspectors include health and safety, farm-labor contractor laws , workers’ compensation insurance, and regulations pertaining to wage and hour requirements and record keeping. In spite of the importance of these efforts in promoting workplace welfare,hydroponic nft system responsible agencies have inadequate resources for enforcement, education, and epidemiological analysis that could provide insight into the patterns of violations and help focus agency efforts. The main research objective of this project is to characterize agricultural operations that have received notices of violation of health, safety, and labor regulations during 1993 and 1994 through TIPP and to identify patterns and risk factors for violation. Using a database of California farm operations developed and maintained by the California Institute for Rural Studies , we compared operations that received notices of violations through TIPP during 1993 and 1994 with chose that did not. This allowed us to develop a profile of operations at high risk for labor-law violations, identify and characterize risk factors, and describe patterns of violation. In addition, TIPP files were matched against the Licensed Farm Labor Contractor file to identify which TIPP citations were made to licensed farm-labor contractors, Regulatory agencies can use information profiling high-risk operations to target educational and enforcement programs within the agricultural sector. The program brings major benefit for both employees and employers. Farm operators who are in compliance with the law also benefit, because more widespread compliance means they are less likely to be competing with persons reducing operating costs through noncompliance. The state as a whole stands to benefit in that improved compliance brings about safer working conditions, leading to increased productivity and reduced lost-work time, medical expenses, and other associated losses. The general goal of this study was to identify agricultural operations receiving notices of violation through TIPP and compare them with operations that had not received notices of violation.

We linked reports of violations from the TIPP database for 1993 and 1994 to specific agricultural producers contained in a large database of over 37,000 California farm operators developed and maintained by the California Institute for Rural Studies. Through this linkage, we identified those producers with violations and compared this group to producers without violations. The results were used to develop a comparative profile of high-risk producers for the purpose of focusing educational and enforcement resources. We also linked the TIPP files to the CDIR’s Licensed Farm Labor Contractor file to identify which citations had been issued to licensed farm labor contractors. In this manner we were able to identify operations chat had received notices of violation through TIPP in 1993 and 1994 and identify them as farms, licensed farm-labor contractors, or unlicensed farm-labor contractors. For farmers we were able to compare cited operations with those that had not received notices of violation. Using standard statistical techniques, we compared these two groups to develop a profile of operations receiving notices of violation. Reports from the OSHA IMIS database and labor expense data were obtained from the relevant governmental agencies as described in this report.Data collection forms can be designed to facilitate data collection and accurate entry into computer systems for analysis. Design should include appropriate categories of violations- This process should be guided by considerations of how the data will be used. In particular, whether categories are broad and inclusive vs. narrow and precise will depend on how die data will be used from a regulatory stand point. If it is important to distinguish different types of violations, then a greater number of narrower categories will be required. Data forms can be prepared on optically readable forms. Scannable forms have a major advantage in that the completed form can simply be fed into a device that automatically reads the data and enters it into a computer for analysis. This process can save significant time, reduce data errors, and facilitate analysis and report writing. Efficiency could also be improved by Immediate on-site entry into laptop computers; these could also hold useful databases for on-site field use. Th duty of reports could be greatly increased by including further descriptive information relevant for the participating agencies. In the IMIS system, for example, information on number of employees and union status are included. Inclusion of descriptive information deemed relevant by the participating agencies would aid in understanding patterns of violation. Comment: Improved utilization of computers would allow more timely review of data and facilitate planning of agency activities. For example, data we analyzed for this report showed an increased risk of violations among berry producers. However, more recent information, conveyed to us in personal communications by our reviewers during the preparation of this report, suggests that current compliance among strawberry producers is high. Improved use of computers with short turn-around time for data review would allow agencies to react to changes as they occur. An inspection program utilizing an unbiased sample of local operations employing farm workers directly or through contractors would allow agencies to determine how commonly or frequently specific infractions occur. This would provide a truer picture than currently available of infractions among operations and allow agencies to develop educational, preventive, and enforcement strategies based on a more realistic view of infractions within the industry. In contrast, when information is based on complaints or leads, the resulting data represent a group of agricultural operations at high risk for violations; such a group is a biased sample- i-e., it is not representative of all agricultural operations. Similarly, operations that have not been inspected and cited may still have infractions of health-and-safety laws that have simply not been reported. Information on the true prevalence of specific infractions would be invaluable for developing policy and focusing resources, and information on true prevalence can only be obtained from a valid sampling system. A valid, unbiased sampling system ideally would involve random sample selection from a complete list of area operations. Although various state agencies maintain lists of agricultural operations for their purposes , the state does not maintain a comprehensive listing of operations utilizing farm labor. Developing and maintaining such a list requires ongoing commitment of resources.