Evidence map›Paper›PMID 26666501›Full record

ArticleScientific reports2015

Sedimentary archaeal amoA gene abundance reflects historic nutrient level and salinity fluctuations in Qinghai Lake, Tibetan Plateau.

Jian Yang, Hongchen Jiang, Hailiang Dong, Weiguo Hou, Gaoyuan Li, Geng Wu

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In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.4field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 62 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Jian YangState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, China.
Hongchen JiangState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, China.
Hailiang DongState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Beijing, 100083, China.
Weiguo HouState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Beijing, 100083, China.
Gaoyuan LiState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Beijing, 100083, China.
Geng WuState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, China.
China University of Geosciences · CNChina University of Geosciences (Beijing) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Integration of DNA derived from ancient phototrophs with their characteristic lipid biomarkers has been successfully employed to reconstruct paleoenvironmental conditions. However, it is poorly known that whether the DNA and lipids of microbial functional aerobes (such as ammonia-oxidizing archaea: AOA) can be used for reconstructing past environmental conditions. Here we identify and quantify the AOA amoA genes (encoding the alpha subunit of ammonia monooxygenases) preserved in a 5.8-m sediment core (spanning the last 18,500 years) from Qinghai Lake. Parallel analyses revealed that low amoA gene abundance corresponded to high total organic carbon (TOC) and salinity, while high amoA gene abundance corresponded to low TOC and salinity. In the Qinghai Lake region, TOC can serve as an indicator of paleo-productivity and paleo-precipitation, which is related to historic nutrient input and salinity. So our data suggest that temporal variation of AOA amoA gene abundance preserved in Qinghai Lake sediment may reflect the variations of nutrient level and salinity throughout the late Pleistocene and Holocene in the Qinghai Lake region.

Indexed as

AmmoniaArchaeaArchaeal ProteinsCarbonEcosystemGeographyGeologic SedimentsLakesOxidoreductasesPhylogenyRadiometric DatingRNA, ArchaealRNA, Ribosomal, 16SSalinityTibetTime FactorsAmmoniaammonia monooxygenaseArchaeal ProteinsCarbonOxidoreductasesRNA, ArchaealRNA, Ribosomal, 16S

Identifiers

PMID26666501
PMCPMC4678299
OpenAlexW2414014056

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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.