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Upland Soil Cluster Gamma dominates methanotrophic communities in upland grassland soils

Upland Soil Cluster Gamma dominates methanotrophic communities in upland grassland soils
Upland Soil Cluster Gamma dominates methanotrophic communities in upland grassland soils

Aerobic methanotrophs in upland soils consume atmospheric methane, serving as a critical counterbalance to global warming; however, the biogeographic distribution patterns of their abundance and community composition are poorly understood, especial at a large scale. In this study, soils were sampled from 30 grasslands across >2000 km on the Qinghai-Tibetan Plateau to determine the distribution patterns of methanotrophs and their driving factors at a regional scale. Methanotroph abundance and community composition were analyzed using quantitative PCR and Illumina Miseq sequencing of pmoA genes, respectively. The pmoA gene copies ranged from 8.2 × 10 5 to 1.1 × 10 8 per gram dry soil. Among the 30 grassland soil samples, Upland Soil Cluster Gamma (USCγ) dominated the methanotroph communities in 26 samples. Jasper Ridge Cluster (JR3) was the most dominant methanotrophic cluster in two samples; while Methylocystis, cluster FWs, and Methylobacter were abundant in other two wet soil samples. Interestingly, reanalyzing the pmoA genes sequencing data from existing publications suggested that USCγ was also the main methanotrophic cluster in grassland soils in other regions, especially when their mean annual precipitation was <500 mm. Canonical Analysis of Principal Coordinates including all soil samples indicated that the methanotrophic community composition was significantly correlated with local environmental factors, among which mean annual precipitation and pH showed the strongest correlations. Variance partitioning analysis showed that environmental factors and spatial distance were significant factors affecting the community structure of methanotrophs, and environmental properties were more important factors. Collectively, these findings indicate that atmospheric methane may be mainly oxidized by USCγ in upland soils. They also highlight the key role of water availability and pH in determining the abundance and community profiles of grassland soil methanotrophs.

Biogeography, Methanotrophs, Qinghai-Tibetan Plateau, Upland grassland soil, USCγ
0048-9697
826-836
Deng, Yongcui
5823c5fe-5a0d-4002-972c-48882272a423
Che, Rongxiao
d6ec73b8-68a3-47fc-b56d-a39b50d44541
Wang, Fang
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Conrad, Ralf
b63adcc7-abe3-4e99-9ce6-20f1cc671d96
Dumont, Marc
afd9f08f-bdbb-4cee-b792-1a7f000ee511
Yun, Juanli
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Wu, Yibo
40049a4b-6147-45f0-9d74-a8a3e0c1d7bf
Hu, Ang
84895715-9239-4425-9c04-630d04a65344
Fang, Jie
8df0d52b-823e-4b11-b335-dad2dd6efbbf
Xu, Zhihong
11b78738-f156-43de-87d2-fa84417c35b7
Cui, Xiaoyong
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Wang, Yanfen
b6b4abdf-152b-43fe-9b40-55f8610b4f1e
Deng, Yongcui
5823c5fe-5a0d-4002-972c-48882272a423
Che, Rongxiao
d6ec73b8-68a3-47fc-b56d-a39b50d44541
Wang, Fang
935a4882-ecb5-44d2-a732-748ee5abb0d3
Conrad, Ralf
b63adcc7-abe3-4e99-9ce6-20f1cc671d96
Dumont, Marc
afd9f08f-bdbb-4cee-b792-1a7f000ee511
Yun, Juanli
0badad08-2bd1-49c2-b0c7-ff89bc8540af
Wu, Yibo
40049a4b-6147-45f0-9d74-a8a3e0c1d7bf
Hu, Ang
84895715-9239-4425-9c04-630d04a65344
Fang, Jie
8df0d52b-823e-4b11-b335-dad2dd6efbbf
Xu, Zhihong
11b78738-f156-43de-87d2-fa84417c35b7
Cui, Xiaoyong
7f9190de-3814-4620-8692-898b44c0964c
Wang, Yanfen
b6b4abdf-152b-43fe-9b40-55f8610b4f1e

Deng, Yongcui, Che, Rongxiao, Wang, Fang, Conrad, Ralf, Dumont, Marc, Yun, Juanli, Wu, Yibo, Hu, Ang, Fang, Jie, Xu, Zhihong, Cui, Xiaoyong and Wang, Yanfen (2019) Upland Soil Cluster Gamma dominates methanotrophic communities in upland grassland soils. Science of the Total Environment, 670, 826-836. (doi:10.1016/j.scitotenv.2019.03.299).

Record type: Article

Abstract

Aerobic methanotrophs in upland soils consume atmospheric methane, serving as a critical counterbalance to global warming; however, the biogeographic distribution patterns of their abundance and community composition are poorly understood, especial at a large scale. In this study, soils were sampled from 30 grasslands across >2000 km on the Qinghai-Tibetan Plateau to determine the distribution patterns of methanotrophs and their driving factors at a regional scale. Methanotroph abundance and community composition were analyzed using quantitative PCR and Illumina Miseq sequencing of pmoA genes, respectively. The pmoA gene copies ranged from 8.2 × 10 5 to 1.1 × 10 8 per gram dry soil. Among the 30 grassland soil samples, Upland Soil Cluster Gamma (USCγ) dominated the methanotroph communities in 26 samples. Jasper Ridge Cluster (JR3) was the most dominant methanotrophic cluster in two samples; while Methylocystis, cluster FWs, and Methylobacter were abundant in other two wet soil samples. Interestingly, reanalyzing the pmoA genes sequencing data from existing publications suggested that USCγ was also the main methanotrophic cluster in grassland soils in other regions, especially when their mean annual precipitation was <500 mm. Canonical Analysis of Principal Coordinates including all soil samples indicated that the methanotrophic community composition was significantly correlated with local environmental factors, among which mean annual precipitation and pH showed the strongest correlations. Variance partitioning analysis showed that environmental factors and spatial distance were significant factors affecting the community structure of methanotrophs, and environmental properties were more important factors. Collectively, these findings indicate that atmospheric methane may be mainly oxidized by USCγ in upland soils. They also highlight the key role of water availability and pH in determining the abundance and community profiles of grassland soil methanotrophs.

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Accepted/In Press date: 19 March 2019
e-pub ahead of print date: 20 March 2019
Published date: 20 June 2019
Keywords: Biogeography, Methanotrophs, Qinghai-Tibetan Plateau, Upland grassland soil, USCγ

Identifiers

Local EPrints ID: 429919
URI: https://eprints.soton.ac.uk/id/eprint/429919
ISSN: 0048-9697
PURE UUID: 6b1b26ed-f15a-48da-a95b-80cc9440c38b
ORCID for Marc Dumont: ORCID iD orcid.org/0000-0002-7347-8668

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Date deposited: 09 Apr 2019 16:30
Last modified: 20 Jul 2019 00:33

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Contributors

Author: Yongcui Deng
Author: Rongxiao Che
Author: Fang Wang
Author: Ralf Conrad
Author: Marc Dumont ORCID iD
Author: Juanli Yun
Author: Yibo Wu
Author: Ang Hu
Author: Jie Fang
Author: Zhihong Xu
Author: Xiaoyong Cui
Author: Yanfen Wang

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