Open Access
Biogeographic patterns and adaptive strategies of microbial carbon metabolic profiles in paddy soils in the Chinese Mollisol region
Xiaojing Hu
1
,
Haidong Gu
1
,
Mikhail Semenov
2
,
Yongbin Wang
1
,
Jinyuan Zhang
1
,
ZHENHUA YU
1
,
Yansheng Li
1
,
Junjie Liu
1
,
Jin Jian -
1
,
Xiaobing Liu
1
,
Guanghua Wang
1
Publication type: Journal Article
Publication date: 2025-04-01
scimago Q1
wos Q1
SJR: 2.067
CiteScore: 12.9
Impact factor: 6.6
ISSN: 00167061, 18726259
Abstract
Microbial adaptive evolution and regulation strategies response to carbon (C) heterogeneity in paddy fields at large spatial scales remain poorly understood. Here, we employed gene- and genomic-centric metagenomic approaches to explore soil microbial biogeographic patterns and functional traits regulating C metabolisms across 120 soils derived from 30 paddy fields in Chinese Mollisols. Our findings revealed that significant distance-decay relationships (DDRs) were observed at both microbial C functional and genomic taxonomic levels. Microbial C cycling profiles were clustered into two groups. HCS (including sites R1-R10) represented soils with high total carbon (TC) at relatively high latitudes, whereas LCS (including sites R11-R30) had low soil C content distributed at low latitudes. Compared with HCS, LCS presented higher abundances of C cycling pathways involving aerobic respiration, C fixation, and methanogenesis pathways, as well as higher levels of carbohydrate esterase (CE) and glycosyl transferase (GT) classes. 211 metagenome-assembled genomes (MAGs) with diverse C metabolic functions were constructed. Among these, high-quality MAG292, assigned to the Nanopelagicales order, had a significantly positive correlation with TC and was more abundant in HCS. Contrarily, MAG153, assigned to the Chitinophagales order, exhibited an opposite trend. Additionally, 133 novel vMAGs were retrieved, and the abundances of phage11, phage16, phage26, and phage120 were higher in LCS than in HCS, containing chiA and GH19 that involved in chitin degradation. HCS had a relatively high abundance of phage89, containing slt and GH23 genes that regulate peptidoglycan lysis. These results indicated that soil viruses potentially lyse bacteria by encoding peptidoglycan lyase, releasing nutrients, and increasing the amount of dead microbial debris that facilitates soil C accumulation at relatively high latitudes. In contrast, at low latitudes, the phages together with microbes may indirectly decrease the soil TC by potentially expressing auxiliary metabolic genes (AMGs) involved in chitin degradation. Our findings indicate the divergent microbial adaptive evolution and soil C regulation strategies response to soil C heterogeneity in paddy soils of Chinese Mollisols.
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Hu X. et al. Biogeographic patterns and adaptive strategies of microbial carbon metabolic profiles in paddy soils in the Chinese Mollisol region // Geoderma. 2025. Vol. 456. p. 117265.
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Hu X., Gu H., Semenov M., Wang Y., Zhang J., YU Z., Li Y., Liu J., - J. J., Liu X., Wang G. Biogeographic patterns and adaptive strategies of microbial carbon metabolic profiles in paddy soils in the Chinese Mollisol region // Geoderma. 2025. Vol. 456. p. 117265.
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TY - JOUR
DO - 10.1016/j.geoderma.2025.117265
UR - https://linkinghub.elsevier.com/retrieve/pii/S001670612500103X
TI - Biogeographic patterns and adaptive strategies of microbial carbon metabolic profiles in paddy soils in the Chinese Mollisol region
T2 - Geoderma
AU - Hu, Xiaojing
AU - Gu, Haidong
AU - Semenov, Mikhail
AU - Wang, Yongbin
AU - Zhang, Jinyuan
AU - YU, ZHENHUA
AU - Li, Yansheng
AU - Liu, Junjie
AU - -, Jin Jian
AU - Liu, Xiaobing
AU - Wang, Guanghua
PY - 2025
DA - 2025/04/01
PB - Elsevier
SP - 117265
VL - 456
SN - 0016-7061
SN - 1872-6259
ER -
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@article{2025_Hu,
author = {Xiaojing Hu and Haidong Gu and Mikhail Semenov and Yongbin Wang and Jinyuan Zhang and ZHENHUA YU and Yansheng Li and Junjie Liu and Jin Jian - and Xiaobing Liu and Guanghua Wang},
title = {Biogeographic patterns and adaptive strategies of microbial carbon metabolic profiles in paddy soils in the Chinese Mollisol region},
journal = {Geoderma},
year = {2025},
volume = {456},
publisher = {Elsevier},
month = {apr},
url = {https://linkinghub.elsevier.com/retrieve/pii/S001670612500103X},
pages = {117265},
doi = {10.1016/j.geoderma.2025.117265}
}