Evidence map›Paper›PMID 33730193›Full record

ReviewMicrobial ecology2022

Lithifying and Non-Lithifying Microbial Ecosystems in the Wetlands and Salt Flats of the Central Andes.

Federico A Vignale, Agustina I Lencina, Tatiana M Stepanenko, Mariana N Soria, Luis A Saona, Daniel Kurth, Daniel Guzmán, Jamie S Foster, Daniel G Poiré, Patricio G Villafañe and 3 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Microbial ecology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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  11. Functional characterization of xanthorhodopsin in Salinivibrio socompensis, a novel halophile isolated from modern stromatolites.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Federico A VignaleLaboratorio de Investigaciones Microbiológicas de Lagunas Andinas (LIMLA), Planta Piloto de Procesos Industriales Microbiológicos (PROIMI)-CCT-CONICET, San Miguel de Tucumán, Tucumán, Argentina.
Agustina I LencinaLaboratorio de Investigaciones Microbiológicas de Lagunas Andinas (LIMLA), Planta Piloto de Procesos Industriales Microbiológicos (PROIMI)-CCT-CONICET, San Miguel de Tucumán, Tucumán, Argentina.
Tatiana M StepanenkoLaboratorio de Investigaciones Microbiológicas de Lagunas Andinas (LIMLA), Planta Piloto de Procesos Industriales Microbiológicos (PROIMI)-CCT-CONICET, San Miguel de Tucumán, Tucumán, Argentina.
Mariana N SoriaLaboratorio de Investigaciones Microbiológicas de Lagunas Andinas (LIMLA), Planta Piloto de Procesos Industriales Microbiológicos (PROIMI)-CCT-CONICET, San Miguel de Tucumán, Tucumán, Argentina.
Luis A SaonaLaboratorio de Investigaciones Microbiológicas de Lagunas Andinas (LIMLA), Planta Piloto de Procesos Industriales Microbiológicos (PROIMI)-CCT-CONICET, San Miguel de Tucumán, Tucumán, Argentina.
Daniel KurthLaboratorio de Investigaciones Microbiológicas de Lagunas Andinas (LIMLA), Planta Piloto de Procesos Industriales Microbiológicos (PROIMI)-CCT-CONICET, San Miguel de Tucumán, Tucumán, Argentina.
Daniel GuzmánCentro de Biotecnología (CBT), Facultad de Ciencias y Tecnología, Universidad Mayor de San Simón (UMSS), Cochabamba, Bolivia.
Jamie S FosterSpace Life Science Lab, Department of Microbiology and Cell Science, University of Florida, Merritt Island, FL, USA.
Daniel G PoiréCentro de Investigaciones Geológicas (CIG), Universidad Nacional de La Plata (UNLP)-CONICET, La Plata, Argentina.
Patricio G VillafañeLaboratorio de Investigaciones Microbiológicas de Lagunas Andinas (LIMLA), Planta Piloto de Procesos Industriales Microbiológicos (PROIMI)-CCT-CONICET, San Miguel de Tucumán, Tucumán, Argentina.
Virginia H AlbarracínLaboratorio de Investigaciones Microbiológicas de Lagunas Andinas (LIMLA), Planta Piloto de Procesos Industriales Microbiológicos (PROIMI)-CCT-CONICET, San Miguel de Tucumán, Tucumán, Argentina.
Manuel ContrerasCentro de Ecología Aplicada (CEA), Santiago, Chile.
María E FaríasLaboratorio de Investigaciones Microbiológicas de Lagunas Andinas (LIMLA), Planta Piloto de Procesos Industriales Microbiológicos (PROIMI)-CCT-CONICET, San Miguel de Tucumán, Tucumán, Argentina. mefarias2009@gmail.com.

Funding

CONICET-FONCyT PICT 2013/0730 and PICT V 2015/3825
6 · The paper itself

Abstract

The wetlands and salt flats of the Central Andes region are unique extreme environments as they are located in high-altitude saline deserts, largely influenced by volcanic activity. Environmental factors, such as ultraviolet (UV) radiation, arsenic content, high salinity, low dissolved oxygen content, extreme daily temperature fluctuation, and oligotrophic conditions, resemble the early Earth and potentially extraterrestrial conditions. The discovery of modern microbialites and microbial mats in the Central Andes during the past decade has increased the interest in this area as an early Earth analog. In this work, we review the current state of knowledge of Central Andes region environments found within lakes, small ponds or puquios, and salt flats of Argentina, Chile, and Bolivia, many of them harboring a diverse range of microbial communities that we have termed Andean Microbial Ecosystems (AMEs). We have integrated the data recovered from all the known AMEs and compared their biogeochemistry and microbial diversity to achieve a better understanding of them and, consequently, facilitate their protection.

Indexed as

MicrobiotaWetlandsGeologic SedimentsLakesSalinityAMEsEndoevaporitesExtremophilesHypersaline lakesMicrobialitesMicrobial mats

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.