Lactic acid bacteria (LAB) are fundamental in the production of fermented foods and several strains are regarded as probiotics. Large quantities of live LAB are consumed within fermented foods, but it is not yet known to what extent the LAB we ingest become members of the gut microbiome. By analysis of 9445 metagenomes from human samples, we demonstrate that the prevalence and abundance of LAB species in stool samples is generally low and linked to age, lifestyle, and geography, with Streptococcus thermophilus and Lactococcus lactis being most prevalent. Moreover, we identify genome-based differences between food and gut microbes by considering 666 metagenome-assembled genomes (MAGs) newly reconstructed from fermented food microbiomes along with 154,723 human MAGs and 193,078 reference genomes. Our large-scale genome-wide analysis demonstrates that closely related LAB strains occur in both food and gut environments and provides unprecedented evidence that fermented foods can be indeed regarded as a possible source of LAB for the gut microbiome.
", "keywords": ["Primates", "0301 basic medicine", "2. Zero hunger", "0303 health sciences", "Science", "Probiotics", "Q", "gut microbiome", "Article", "Gastrointestinal Microbiome", "lactic acid bacteria", "Lactococcus lactis", "03 medical and health sciences", "Lactobacillales", "Databases", " Genetic", "Food Microbiology", "Animals", "Humans", "Metagenome", "Streptococcus thermophilus", "Fermented Foods", "[PHYS.ASTR] Physics [physics]/Astrophysics [astro-ph]", "Life Style", "genome analysis"]}, "links": [{"href": "https://iris.unitn.it/bitstream/11572/269813/1/s41467-020-16438-8.pdf"}, {"href": "https://www.iris.unina.it/bitstream/11588/811717/2/NatComm%2c2020_LABfoodgut.pdf"}, {"href": "https://www.nature.com/articles/s41467-020-16438-8.pdf"}, {"href": "https://doi.org/10.1038/s41467-020-16438-8"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Communications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41467-020-16438-8", "name": "item", "description": "10.1038/s41467-020-16438-8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41467-020-16438-8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-05-25T00:00:00Z"}}, {"id": "10.1038/s41598-020-61528-8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:18:25Z", "type": "Journal Article", "created": "2020-03-25", "title": "Smoothed millennial-scale palaeoclimatic reference data as unconventional comparison targets: Application to European loess records", "description": "AbstractMillennial-scale palaeoclimate variability has been documented in various terrestrial and marine palaeoclimate proxy records throughout the Northern Hemisphere for the last glacial cycle. Its clear expression and rapid shifts between different states of climate (Greenland Interstadials and Stadials) represents a correlation tool beyond the resolution of e.g. luminescence dating, especially relevant for terrestrial deposits. Usually, comparison of terrestrial proxy datasets and the Greenland ice cores indicates a complex expression of millennial-scale climate variability as recorded in terrestrial geoarchives including loess. Loess is the most widespread terrestrial geoarchive of the Quaternary and especially widespread over Eurasia. However, loess often records a smoothed representation of millennial-scale variability without all fidelity when compared to the Greenland data, this being a relevant limiting feature in integrating loess with other palaeoclimate records. To better understand the loess proxy-response to millennial-scale climate variability, we simulate a proxy signal smoothing by natural processes through application of low-pass filters of \uffce\uffb418O data from Greenland, a high-resolution palaeoclimate reference record, alongside speleothem isotope records from the Black Sea-Mediterranean region. We show that low-pass filters represent rather simple models for better constraining the expression of millennial-scale climate variability in low sedimentation environments, and in sediments where proxy-response signals are most likely affected by natural smoothing (by e.g. bioturbation). Interestingly, smoothed datasets from Greenland and the Black Sea-Mediterranean region are most similar in the last ~15 ka and between ~50\uffe2\uff80\uff9330 ka. Between ~30\uffe2\uff80\uff9315 ka, roughly corresponding to the Last Glacial Maximum and the deglaciation, the records show dissimilarities, challenging the construction of robust correlative time-scales in this age range. From our analysis it becomes apparent that patterns of palaeoclimate signals in loess-palaeosol sequences often might be better explained by smoothed Greenland reference data than the original high-resolution Greenland dataset, or other reference data. This opens the possibility to better assess the temporal resolution and palaeoclimate potential of loess-palaeosol sequences in recording supra-regional climate patterns, as well as to securely integrate loess with other chronologically better-resolved palaeoclimate records.
", "keywords": ["[PHYS]Physics [physics]", "550", "ddc:550", "Stratigraphy", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "600", "Sedimentology", "15. Life on land", "Palaeoclimate", "01 natural sciences", "Article", "550 Geowissenschaften", "[PHYS] Physics [physics]", "13. Climate action", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "info:eu-repo/classification/ddc/600", "Institut f\u00fcr Geowissenschaften", "[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]", "[PHYS.ASTR] Physics [physics]/Astrophysics [astro-ph]", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.nature.com/articles/s41598-020-61528-8.pdf"}, {"href": "https://doi.org/10.1038/s41598-020-61528-8"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Scientific%20Reports", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41598-020-61528-8", "name": "item", "description": "10.1038/s41598-020-61528-8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41598-020-61528-8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-25T00:00:00Z"}}, {"id": "10.3390/rs10101601", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-27T16:21:58Z", "type": "Journal Article", "created": "2018-10-09", "title": "Sensitivity of Evapotranspiration Components in Remote Sensing-Based Models", "description": "Accurately estimating evapotranspiration (ET) at large spatial scales is essential to our understanding of land-atmosphere coupling and the surface balance of water and energy. Comparisons between remote sensing-based ET models are difficult due to diversity in model formulation, parametrization and data requirements. The constituent components of ET have been shown to deviate substantially among models as well as between models and field estimates. This study analyses the sensitivity of three global ET remote sensing models in an attempt to isolate the error associated with forcing uncertainty and reveal the underlying variables driving the model components. We examine the transpiration, soil evaporation, interception and total ET estimates of the Penman-Monteith model from the Moderate Resolution Imaging Spectroradiometer (PM-MOD), the Priestley-Taylor Jet Propulsion Laboratory model (PT-JPL) and the Global Land Evaporation Amsterdam Model (GLEAM) at 42 sites where ET components have been measured using field techniques. We analyse the sensitivity of the models based on the uncertainty of the input variables and as a function of the raw value of the variables themselves. We find that, at 10% added uncertainty levels, the total ET estimates from PT-JPL, PM-MOD and GLEAM are most sensitive to Normalized Difference Vegetation Index (NDVI) (%RMSD = 100.0), relative humidity (%RMSD = 122.3) and net radiation (%RMSD = 7.49), respectively. Consistently, systemic bias introduced by forcing uncertainty in the component estimates is mitigated when components are aggregated to a total ET estimate. These results suggest that slight changes to forcing may result in outsized variation in ET partitioning and relatively smaller changes to the total ET estimates. Our results help to explain why model estimates of total ET perform relatively well despite large inter-model divergence in the individual ET component estimates.
", "keywords": ["550", "Science", "TROPICAL RAIN-FOREST", "0208 environmental biotechnology", "evapotranspiration", "0207 environmental engineering", "02 engineering and technology", "interception", "SOIL-MOISTURE", "transpiration", "modelling", "partitioning", "soil evaporation", "uncertainty", "DROUGHT", "evapotranspiration; modelling; sensitivity; uncertainty; transpiration; soil evaporation; interception; partitioning", "CLIMATE-CHANGE", "Q", "Biology and Life Sciences", "PLANT TRANSPIRATION", "sensitivity", "6. Clean water", "CHIHUAHUAN DESERT", "GLOBAL TERRESTRIAL EVAPOTRANSPIRATION", "13. Climate action", "Earth and Environmental Sciences", "LAND EVAPORATION", "WATER-BALANCE", "FEEDBACKS", "[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]", "[PHYS.ASTR] Physics [physics]/Astrophysics [astro-ph]"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/10/10/1601/pdf"}, {"href": "https://doi.org/10.3390/rs10101601"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs10101601", "name": "item", "description": "10.3390/rs10101601", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs10101601"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-09T00:00:00Z"}}, {"id": "10.5194/hess-22-4513-2018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:22:51Z", "type": "Journal Article", "created": "2018-08-27", "title": "Exploring the merging of the global land evaporation WACMOS-ET products based on local tower measurements", "description": "Abstract. An inverse error variance weighting of the anomalies of three terrestrial evaporation (ET) products from the WACMOS-ET project based on FLUXNET sites is presented. The three ET models were run daily and at a resolution of 25\uffe2\uff80\uff89km for 2002\uffe2\uff80\uff932007, and based on common input data when possible. The local weights, derived based on the variance of the difference between the tower ET anomalies and the modelled ET anomalies, were made dynamic by estimating them using a 61-day running window centred on each day. These were then extrapolated from the tower locations to the global landscape by regressing them on the main model inputs and derived ET using a neural network. Over the stations, the weighted scheme usefully decreased the random error component, and the weighted ET correlated better with the tower data than a simple average. The global extrapolation produced weights displaying strong seasonal and geographical patterns, which translated into spatiotemporal differences between the ET weighted and simple average ET products. However, the uncertainty of the weights after the extrapolation remained large. Out-sample prediction tests showed that the tower data set, mostly located at temperate regions, had limitations with respect to the representation of different biome and climate conditions. Therefore, even if the local weighting was successful, the extrapolation to a global scale remains problematic, showing a limited added value over the simple average. Overall, this study suggests that merging tower observations and ET products at the timescales and spatial scales of this study is complicated by the tower spatial representativeness, the products' coarse spatial resolution, the nature of the error in both towers and gridded data sets, and how all these factors impact the weights extrapolation from the tower locations to the global landscape.
", "keywords": ["Technology", "550", "SPATIAL VARIABILITY", "0207 environmental engineering", "FLUX MEASUREMENTS", "02 engineering and technology", "SOIL-MOISTURE", "Environmental technology. Sanitary engineering", "01 natural sciences", "[PHYS] Physics [physics]", "G", "ENERGY-BALANCE CLOSURE", "Geography. Anthropology. Recreation", "GE1-350", "TD1-1066", "0105 earth and related environmental sciences", "[PHYS]Physics [physics]", "EVAPOTRANSPIRATION ESTIMATION", "CARBON-DIOXIDE EXCHANGE", "T", "DECIDUOUS FOREST", "EDDY-COVARIANCE", "Environmental sciences", "TEMPERATE FOREST", "13. Climate action", "Earth and Environmental Sciences", "[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]", "INTERANNUAL VARIABILITY", "[PHYS.ASTR] Physics [physics]/Astrophysics [astro-ph]"]}, "links": [{"href": "https://hess.copernicus.org/articles/22/4513/2018/hess-22-4513-2018.pdf"}, {"href": "https://doi.org/10.5194/hess-22-4513-2018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/hess-22-4513-2018", "name": "item", "description": "10.5194/hess-22-4513-2018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-22-4513-2018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-08-27T00:00:00Z"}}, {"id": "ftobservparis:oai:HAL:hal-03729664v1", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-07-27T16:33:35Z", "type": "Report", "title": "La relativit\u00e9 g\u00e9n\u00e9rale, une th\u00e9orie en avance sur son temps", "description": "National audience", "keywords": ["[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]", "[PHYS.ASTR] Physics [physics]/Astrophysics [astro-ph]"], "contacts": [{"organization": "Eisenstaedt, Jean", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/ftobservparis:oai:HAL:hal-03729664v1"}, {"rel": "self", "type": "application/geo+json", "title": "ftobservparis:oai:HAL:hal-03729664v1", "name": "item", "description": "ftobservparis:oai:HAL:hal-03729664v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/ftobservparis:oai:HAL:hal-03729664v1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-01-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=%5BPHYS.ASTR%5D+Physics+%5Bphysics%5D%2FAstrophysics+%5Bastro-ph%5D&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=%5BPHYS.ASTR%5D+Physics+%5Bphysics%5D%2FAstrophysics+%5Bastro-ph%5D&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=%5BPHYS.ASTR%5D+Physics+%5Bphysics%5D%2FAstrophysics+%5Bastro-ph%5D&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=%5BPHYS.ASTR%5D+Physics+%5Bphysics%5D%2FAstrophysics+%5Bastro-ph%5D&offset=6", "hreflang": "en-US"}], "numberMatched": 6, "numberReturned": 6, "distributedFeatures": [], "timeStamp": "2026-07-28T03:12:28.930277Z"}