A genomic perspective on stoichiometric regulation of soil carbon cycling

Hartman, Wyatt H.; Ye, Rongzhong; Horwath, William R.; Tringe, Susannah G.

doi:10.1038/ismej.2017.115

Title: A genomic perspective on stoichiometric regulation of soil carbon cycling

Journal Article · 21 July 2017 · The ISME Journal

DOI: https://doi.org/10.1038/ismej.2017.115 · OSTI ID:1482526

Hartman, Wyatt H. ^[1]; Ye, Rongzhong ^[2]; Horwath, William R. ^[3];

^[4]

USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States)
Univ. of California, Davis, CA (United States); Clemson Univ., Clemson, SC (United States)
Univ. of California, Davis, CA (United States)
USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States); Univ. of California, Merced, CA (United States)

Similar to plant growth, soil carbon (C) cycling is constrained by the availability of nitrogen (N) and phosphorus (P). We hypothesized that stoichiometric control over soil microbial C cycling may be shaped by functional guilds with distinct nutrient substrate preferences. Across a series of rice fields spanning 5-25% soil C (N:P from 1:12 to 1:70), C turnover was best correlated with P availability and increased with experimental N addition only in lower C (mineral) soils with N:P-1/216. Microbial community membership also varied with soil stoichiometry but not with N addition. Shotgun metagenome data revealed changes in community functions with increasing C turnover, including a shift from aromatic C to carbohydrate utilization accompanied by lower N uptake and P scavenging. Similar patterns of C, N and P acquisition, along with higher ribosomal RNA operon copy numbers, distinguished that microbial taxa positively correlated with C turnover. Considering such tradeoffs in genomic resource allocation patterns among taxa strengthened correlations between microbial community composition and C cycling, suggesting simplified guilds amenable to ecosystem modeling. Our results suggest that patterns of soil C turnover may reflect community-dependent metabolic shifts driven by resource allocation strategies, analogous to growth rate-stoichiometry coupling in animal and plant communities.

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Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER). Biological Systems Science Division

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1482526

Journal Information:: The ISME Journal, Vol. 11, Issue 12; ISSN 1751-7362

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United States

Language:: English

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