Evidence map›Paper›PMID 32424436›Full record

ReviewApplied microbiology and biotechnology2020

Microorganisms of Lake Baikal-the deepest and most ancient lake on Earth.

Tamara I Zemskaya, Pedro J Cabello-Yeves, Olga N Pavlova, Francisco Rodriguez-Valera

Abstract readReview
PubMed Publisher
In one paragraph

Review in Applied microbiology and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
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

10 citing papers in PubMed, 19 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

Tamara I ZemskayaLimnological Institute, Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russia. tzema@lin.irk.ru.ORCID http://orcid.org/0000-0002-3575-0472
Pedro J Cabello-YevesEvolutionary Genomics Group, Departamento de Producción Vegetal y Microbiología, Universidad Miguel Hernández, San Juan de Alicante, Alicante, Spain.
Olga N PavlovaLimnological Institute, Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russia.
Francisco Rodriguez-ValeraEvolutionary Genomics Group, Departamento de Producción Vegetal y Microbiología, Universidad Miguel Hernández, San Juan de Alicante, Alicante, Spain.
Siberian Branch of the Russian Academy of Sciences · RUUniversitat de Miguel Hernández d'Elx · ES

Funding

Generalitat Valenciana APOSTD/2019/009 Post-Doctoral fellowshipGeneralitat Valenciana "HIDRAS3" PROMETEO/2019/009Ministerio de Ciencia e Innovación (ES) "VIREVO" CGL2016-76273-P [MCI/AEI/FEDER, EU]Ministry of Education and Science of the Russian Federation 0345-2019-0007Российский Фонд Фундаментальных Исследований (РФФИ) Ofi-m 17-29-05040
6 · The paper itself

Abstract

Lake Baikal (Russia) is the largest (by volume) and deepest lake on Earth. The lake remains relatively pristine due to the low population density around its basin. Being very distant from any marine water body but having a remarkable number of similarities to oceans (depth, oxygen content, oligotrophy) provides a unique model of pelagic microbiota that is submitted to marine-like conditions minus the salt content of the water. It is also a model of lakes located at high latitudes and submitted to yearly ice cover (from January to April). The analysis by different approaches has indeed provided a view of the microbiota of this lake. It contains novel microbes that are closely related to marine groups not known to be present in freshwater like Chloroflexi or Pelagibacter. The deep water mass contains large communities of chemolithotrophs that use ammonia generated in the photic zone or methane from the sediments. KEY POINTS: • The chemical composition and limnic features of the deepest lake on Earth determine the vital activity of microorganisms. • The diversity, ecology, and role of individual taxa of microorganisms were studied using cultivation and molecular methods. • Data of large metagenomic datasets in the epipelagic and bathypelagic layers of the water column in southern Baikal were discussed.

Indexed as

Water MicrobiologyClimateGeographyIn Situ Hybridization, FluorescenceLakesMetagenomicsMicrobiotaPhylogenyRNA, Ribosomal, 16SRussiaRNA, Ribosomal, 16SFreshwater microbiomeLake microbiomeLake preservationMetagenomics

Identifiers

PMID32424436
OpenAlexW3026540055

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.