Evidence map›Paper›PMID 33224472›Full record

ArticleF1000Research2018

The signs of adaptive mutations identified in the chloroplast genome of the algae endosymbiont of Baikal sponge.

Sergey Feranchuk, Natalia Belkova, Lubov Chernogor, Ulyana Potapova, Sergei Belikov

Open access · goldAbstract read
In one paragraph

Article in F1000Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 100% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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

5 authors at 3 institutions in 1 country.

Sergey FeranchukLimological institute, Siberian Branch of the Russian Academy of Sciences, Irkutsk, 664033, Russian Federation.ORCID https://orcid.org/0000-0002-2774-4179
Natalia BelkovaLimological institute, Siberian Branch of the Russian Academy of Sciences, Irkutsk, 664033, Russian Federation.
Lubov ChernogorLimological institute, Siberian Branch of the Russian Academy of Sciences, Irkutsk, 664033, Russian Federation.
Ulyana PotapovaLimological institute, Siberian Branch of the Russian Academy of Sciences, Irkutsk, 664033, Russian Federation.
Sergei BelikovLimological institute, Siberian Branch of the Russian Academy of Sciences, Irkutsk, 664033, Russian Federation.
Siberian Branch of the Russian Academy of Sciences · RUIrkutsk National Research Technical University · RUScientific Center of Family Health Problems and Human Reproduction · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMonitoring and investigating the ecosystem of the great lakes provide a thorough background when forecasting the ecosystem dynamics at a greater scale. Nowadays, changes in the Baikal lake biota require a deeper investigation of their molecular mechanisms. Understanding these mechanisms is especially important, as the endemic Baikal sponge disease may cause a degradation of the littoral ecosystem of the lake.

methodsThe chloroplast genome fragment for the algae endosymbiont of the Baikal sponge was assembled from metagenomic sequencing data. The distributions of the polymorphic sites were obtained separately for the genome fragments from healthy, diseased and dead sponge tissues.

resultsThe distribution of polymorphic sites allows for the detection of the signs of extensive mutations in the chloroplasts isolated from the diseased sponge tissues. Additionally, the comparative analysis of chloroplast genome sequences suggests that the symbiotic algae from Baikal sponge is close to the Choricystis genus of unicellular algae.

conclusionsMutations observed in the chloroplast genome could be interpreted as signs of rapid adaptation processes in the symbiotic algae. The development of sponge disease is still expanding in Baikal, but an optimistic prognoses regarding a development of the disease is nevertheless considered.

Indexed as

ChlorophytaChloroplas GenomeGenetic PolymorphismLake BaikalMutation Rate

Identifiers

PMID33224472
PMCPMC7670478
OpenAlexW2891594990

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.