Genetic engineering and environmental ethics.
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Little is known about the consequences of releasing genetically engineered plants (GEP) into the environment. Using opine-producing GEP, we show that transgenic plants alter their biological environment, more precisely the root-associated bacterial populations. The alterations were both transgene-specific and target population-specific. Therefore, assessment studies on the introduction of a given transgene into a GEP will be valid on the given transgene. Evidence of any transgene-associated biological effect will depend on the determination of the pertinent target populations, the identification of which is a key step of such studies.
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The deliberate release of genetically engineered microorganisms for environmental applications has remained largely blocked since the early days of recombinant DNA technology, when limited ecological knowledge, lack of success stories and public apprehension shaped a culture of caution and restrictive regulation. Despite profound advances in microbial ecology, synthetic biology and genetic design, current frameworks still rely on outdated assumptions and legacy regulations that equate engineered microbes with inherent danger and demand unrealistic forms of absolute containment. This review examines how laboratory-trained microorganisms exist on a continuum with naturally evolved life, and that their risks are neither categorically different nor greater. Rather than pursuing unachievable containment, governance should shift towards traceability, stewardship and long-term monitoring through genomic barcodes, digital twins and transparent oversight. The vision moves from domination and control to care and partnership recognizing engineered microbes as live amendments capable of restoring degraded ecosystems. Achieving this transformation requires new terminology, phased field-trial frameworks, improved scaling methods, and the integration of epistemological perspectives that emphasize reciprocity and coexistence with nature. Reframing biotechnology in this way could finally unlock the capacity of engineered microorganisms to contribute responsibly and effectively to planetary repair in an era of escalating environmental crises.
Plasmid pSI30 was constructed to increase the sensitivity of detection of a genetically engineered micro-organism (GEM) and its recombinant DNA in environmental samples. This broad host-range, mobilizable plasmid contained chlorocatechol (clc) degradative genes, antibiotic resistance genes (ampicillin and kanamycin) and a fragment of eukaryotic DNA. The clc genes encode enzymes that convert 3-chlorocatechol to maleylacetic acid permitting the host, Pseudomonas putida RC-4, to grow on 3-chlorobenzoate. This catabolic phenotype was exploited using enrichment procedures to detect RC-4(pSI30) cells, free-living in the water column or when irreversibly bound to surfaces. The eukaryotic DNA sequence provided a unique target allowing positive identification by DNA:DNA hybridization. Using the eukaryotic DNA sequence as a probe, no transfer of the plasmid to indigenous bacteria was detected. Persistence of RC-4(pSI30) and its ability to multiply upon addition of 3-chlorobenzoate were demonstrated 78 days after its addition to natural freshwater. In flow-through microcosms RC-4(pSI30), undetectable as free-living cells, was found by enrichment as irreversibly bound sessile forms. These experiments revealed the stability of pSI30 and its utility in a 'combination' detection system for tracking the survival of a GEM and its DNA in environmental samples.
When a genetically engineered microorganism (GEM) is released into a natural ecosystem, its survival, and hence its potential environmental impact, depends on its genetic stability and potential for growth under highly oligotrophic conditions. In this study, we compared plasmid stability and potential for growth on low concentrations of organic nutrients of strains of Pseudomonas putida serving as model GEMs. Plasmid-free and plasmid-bearing (NAH7) prototrophic isogenic strains and two amino-acid auxotrophs, all containing antibiotic resistance markers, were held physically separate from but in chemical contact with lake water containing the natural bacterium-sized microbial populations. Cells were reisolated at intervals over a 2-month period to determine the percent retaining the plasmid and the specific growth rate on various media. Plasmid stability in lake water was strongly strain specific; the NAH7 plasmid was stably maintained by the prototrophic strain for the duration of the test but was lost within 24 h by both of the auxotrophs. Specific growth rates of reisolates, compared with those of the corresponding non-lake water-exposed strains (i.e., parental strains), were not different when measured in rich medium (Luria-Bertani broth). However, specific growth rates were 42, 55, and 63% higher in reisolates of auxotrophs and the plasmid-free prototroph, respectively, when measured in 10-fold-diluted medium after exposure of 15 days or longer to lake water. Moreover, lake water-exposed strains grew actively when reintroduced into sterile lake water (28- to 33-fold increase in numbers over 7 days), while the corresponding unadapted parental strains exhibited no growth over the same period.(ABSTRACT TRUNCATED AT 250 WORDS)
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Rumen microbiologists are beginning to use genetic engineering techniques, and researchers should carefully consider both the potentials and limitations of using this technology to manipulate the rumen microbial ecosystem. Despite encouraging rhetoric, it is difficult to identify specific examples where genetic engineering would enhance ruminal performance. Many practical problems (lactic acidosis, deamination, etc.) might be better served by genetic engineering approaches that delete rather than add genes. The difficulty with this approach is that a highly selective means of preventing wild types from recolonizing the rumen would be needed. The addition of specific genes is confounded by 1) the fact that the rumen microorganisms are already adapted to the rumen, 2) the diversity of species inhabiting the rumen and 3) the complexity of interactions among these species. Aspects such as increased rates of cellulose digestion and changes in amino acid composition of the microflora are particularly sensitive to these biological constraints. Genetic engineering has, however, the potential to alleviate new limitations that humans have imposed on the rumen (detoxification, resistance to low pH, the digestion of novel feed materials, etc). A particular strategy of moving acid-resistant cellulose genes into noncellulytic, but acid-resistant, rumen bacteria is described.
SUMMARY: The Ontology Lookup Service (OLS) is an open source search engine for ontologies which is used extensively in the bioinformatics and chemistry communities to annotate biological and biomedical data with ontology terms. Recently, there has been a significant increase in the size and complexity of ontologies due to new scales of biological knowledge, such as spatial transcriptomics, new ontology development methodologies, and curation on an increased scale. Existing Web-based tools for ontology browsing such as BioPortal and OntoBee do not support the full range of definitions used by today's ontologies. In order to support the community going forward, we have developed OLS4, implementing the complete OWL2 specification, internationalization support for multiple languages, and a new user interface with UX enhancements such as links out to external databases. OLS4 has replaced OLS3 in production at EMBL-EBI and has a backward compatible API supporting users of OLS3 to transition. AVAILABILITY AND IMPLEMENTATION: The source code of OLS is available at https://github.com/EBISPOT/ols4 and DOI 10.5281/zenodo.14960290 with Apache 2.0 License. A freely available implementation is accessible at https://www.ebi.ac.uk/ols4.
In this paper we describe a sediment microcosm system consisting of 20 undisturbed, layered sediment cores with overlying site water which are incubated under identical conditions of temperature, light, stirring rate of overlying water, and water exchange rate. Ecosystem parameters (nutrient level, photosynthetic potential, community structure of heterotrophic bacteria, thymidine incorporation rate, and oxygen microgradients) of the laboratory microcosms and the source ecosystem were compared and shown to be indistinguishable for the first 2 weeks. In weeks 3 and 4, small differences were detectable in the nutrient level, community structure of heterotrophic bacteria, and thymidine incorporation rate. However, the photosynthetic potential, depth profiles of heterotrophic bacterial community structure, and oxygen microgradients were maintained throughout the incubation period and did not differ between laboratory microcosms and the source ecosystem. The microcosm system described here would thus appear to be a valid model of aquatic sediments for up to 4 weeks; the actual period would depend on the sediment source and incubation temperature. The validated systems were used with Rhine river sediment to assess possible effects on ecosystem parameters of Pseudomonas sp. strain B13 FR1(pFRC20P), a genetically engineered microorganism (GEM) that had been constructed to degrade mixtures of halo- and alkylbenzoates and -phenols. The GEM survived in the surface sediment at densities of 5 x 10(4) to 5 x 10(5)/g (dry weight) for 4 weeks and degraded added chloro- and methylaromatics. The GEM did not measurably influence ecosystem parameters such as photosynthesis, densities of selected heterotrophic bacteria, thymidine incorporation rate, and oxygen microgradients. Thus, the microcosm system described here would seem to be useful for the study of the ecology of biodegradation and the fate and effect of microorganisms introduced into the environment.
Until now most research, and its funding, has been focused on animal and human health care as well as simple microbiological model systems such as Escherichia coli and yeast. Molecular plant studies have generally lagged behind, often simply adapting discoveries from the animal field to plants. Clearly, good health and the efficient tackling of diseases is crucial for the well-being of humans, and good remedies have a high economic value for the pharmaceutical industry. However, one should not forget that plants are an essential component of the large ecosystem that is our planet. They are not only the basic food producers but they are also necessary for a balanced atmosphere (oxygen production) and stable and viable climates. Especially in this period of demographic explosion and growing environmental deterioration, there is a need to rebuild our agricultural systems. Plants also have a wide variety of 'non-food' uses, for instance as energy sources, construction materials, or cosmetics. Last, but not least, they produce a lot of chemicals that can be used as pharmaceuticals. The growing awareness of the importance of plants has coincided with the development of plant molecular biology. Specific features make them ideally suited for gene engineering and genetic studies in general.
Emerging spatial multiomics technologies provide an increasingly large amount of information content at multiple scales. However, it remains challenging to efficiently represent and harmonize diverse spatial datasets. Here we present Giotto Suite, a suite of modular packages that provides scalable and extensible end-to-end solutions for multiscale and multiomic data analysis, integration and visualization. At its core, Giotto Suite is centered around an innovative data framework, allowing the representation and integration of spatial omics data in a technology-agnostic manner. Giotto Suite integrates molecular, morphology, spatial and annotated feature information to create a responsive and flexible workflow, as demonstrated by applications to several state-of-the-art spatial technologies. Furthermore, Giotto Suite builds upon interoperable interfaces and data structures that bridge the established fields of genomics and spatial data science in R, thereby enabling independent developers to create custom-engineered pipelines. As such, Giotto Suite creates an immersive and multiscale ecosystem for spatial multiomic data analysis.
The 1992 Convention on Biological Diversity marks a basic change in the international status of genetic resources. Prior to the Convention, these resources were considered to be the "heritage of mankind.' Although the intent of this open access regime was to ensure the widespread availability of genetic resources for agriculture and industry, commercial use of the resources provided no additional economic incentive for conservation by source countries. The Biodiversity Convention corrects this policy failure by establishing that states have sovereign rights over their genetic resources, thereby enabling market incentives to complement various multilateral mechanisms that might directly fund biodiversity conservation. A number of obstacles face countries that are translating this broad right to regulate access into specific policies, laws, and regulations designed to meet conservation and development objectives. A review of these obstacles and of trends in technological development suggest that nations and developing country institutions should take a set of actions to develop access legislation and Material Transfer Agreements, establish biodiversity "cooperatives' and intermediary institutions to facilitate information exchange, develop minimum standards for access legislation, and require that prior informed consent of local communities be obtained by all biodiversity collectors.
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