StandardStandard

Use of untargeted metabolomics to analyse changes in extractable soil organic matter in response to long-term fertilisation. / Tang, Sheng; Ma, Qingxu; Zhou, Jingjie et al.
Yn: Biology and Fertility of Soils, Cyfrol 59, Rhif 3, 01.04.2023, t. 301-316.

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

HarvardHarvard

APA

CBE

MLA

VancouverVancouver

Tang S, Ma Q, Zhou J, Pan W, Chadwick DR, Gregory AS et al. Use of untargeted metabolomics to analyse changes in extractable soil organic matter in response to long-term fertilisation. Biology and Fertility of Soils. 2023 Ebr 1;59(3):301-316. Epub 2023 Chw 9. doi: 10.1007/s00374-023-01706-8

Author

Tang, Sheng ; Ma, Qingxu ; Zhou, Jingjie et al. / Use of untargeted metabolomics to analyse changes in extractable soil organic matter in response to long-term fertilisation. Yn: Biology and Fertility of Soils. 2023 ; Cyfrol 59, Rhif 3. tt. 301-316.

RIS

TY - JOUR

T1 - Use of untargeted metabolomics to analyse changes in extractable soil organic matter in response to long-term fertilisation

AU - Tang, Sheng

AU - Ma, Qingxu

AU - Zhou, Jingjie

AU - Pan, Wankun

AU - Chadwick, David R.

AU - Gregory, Andrew S.

AU - Wu, Lianghuan

AU - Jones, Davey L.

PY - 2023/4/1

Y1 - 2023/4/1

N2 - This study aimed to explore the soil metabolic response to long-term fertiliser application and the effect of this response on the microbial community by taking advantage of the Woburn Organic Manuring Experiment (UK; operational since 1964). Untargeted metabolomes detected by gas chromatography-time of flight mass spectrometer/mass spectrometry (GC-TOFMS/MS) and ultra-high-pressure liquid chromatography-quadrupole time of flight mass-spectrometer/mass spectrometry (UHPLC-QTOFMS/MS) were used to explore which method better reflected soil microbe-accessible metabolites. Microbial community abundance was detected by high-throughput sequencing. We found that long-term farmyard manure application enhanced the soil’s total and dissolved C and N contents. The metabolite content detected by GC-TOFMS/MS (TOF detector with a cold injection unit) had a negative linear correlation with soil organic matter, extractable organic nitrogen (N), and microbial carbon (C). Conversely, the metabolite content detected by UHPLC-QTOFMS/MS was positively correlated with soil organic matter, indicating that metabolites detected by UHPLC-QTOFMS/MS were the main components of soluble soil organic matter. More positive than negative correlations were observed between metabolites and bacterial (69.5%) and fungal (67.9%) taxa in the co-occurrence network. Among the bacterial taxa in the network, the family Planococcaceae and genus Paenibacillus showed the most correlations with metabolites. The choice of extraction and detection method affects the identity and number of metabolites detected. Therefore, careful consideration is needed when selecting which methods to use. We demonstrated a strong correlation between soil metabolites and microbial community abundance. However, a deeper understanding of soil microbial function and metabolite formation, content, and decomposition is still needed.

AB - This study aimed to explore the soil metabolic response to long-term fertiliser application and the effect of this response on the microbial community by taking advantage of the Woburn Organic Manuring Experiment (UK; operational since 1964). Untargeted metabolomes detected by gas chromatography-time of flight mass spectrometer/mass spectrometry (GC-TOFMS/MS) and ultra-high-pressure liquid chromatography-quadrupole time of flight mass-spectrometer/mass spectrometry (UHPLC-QTOFMS/MS) were used to explore which method better reflected soil microbe-accessible metabolites. Microbial community abundance was detected by high-throughput sequencing. We found that long-term farmyard manure application enhanced the soil’s total and dissolved C and N contents. The metabolite content detected by GC-TOFMS/MS (TOF detector with a cold injection unit) had a negative linear correlation with soil organic matter, extractable organic nitrogen (N), and microbial carbon (C). Conversely, the metabolite content detected by UHPLC-QTOFMS/MS was positively correlated with soil organic matter, indicating that metabolites detected by UHPLC-QTOFMS/MS were the main components of soluble soil organic matter. More positive than negative correlations were observed between metabolites and bacterial (69.5%) and fungal (67.9%) taxa in the co-occurrence network. Among the bacterial taxa in the network, the family Planococcaceae and genus Paenibacillus showed the most correlations with metabolites. The choice of extraction and detection method affects the identity and number of metabolites detected. Therefore, careful consideration is needed when selecting which methods to use. We demonstrated a strong correlation between soil metabolites and microbial community abundance. However, a deeper understanding of soil microbial function and metabolite formation, content, and decomposition is still needed.

KW - Soil organic matter

KW - Dissolved organic matter

KW - Chemical fertiliser

KW - Farmyard manure

KW - Untargeted metabolomes

U2 - 10.1007/s00374-023-01706-8

DO - 10.1007/s00374-023-01706-8

M3 - Article

VL - 59

SP - 301

EP - 316

JO - Biology and Fertility of Soils

JF - Biology and Fertility of Soils

SN - 0178-2762

IS - 3

ER -