Back

Particle lability drives degradation dynamics and bacterial community assembly during a Phaeocystis bloom decline

Romanelli, E.; Stevens-Green, R.; Cisternas-Novoa, C.; LaRoche, J.; Siegel, D. A.; Carlson, C. A.; Passow, U.

2026-04-20 microbiology
10.64898/2026.04.19.716305 bioRxiv
Show abstract

Microbial degradation of suspended and sinking organic carbon regulates long-term oceanic carbon storage by controlling the efficiency of the biological pump. Yet microbial controls on carbon export and remineralization remain poorly constrained, limiting predictions of how ocean carbon cycling will respond to climate change. Here, we combined in situ sampling with ship-based incubations to quantify prokaryote-driven removal rates of suspended and sinking total organic carbon (TOC). Samples were collected below the mixed layer during three stages of a spring Phaeocystis pouchetii bloom in the Labrador Sea. Phaeocystis blooms can dominate regional phytoplankton biomass and are expected to increase under future climate. Removal rates were used as a proxy for carbon lability and combined with 16S rRNA metabarcoding and carbon composition analyses to link microbial community structure with substrate characteristics. Removal rates of sinking particles (0.02-0.06 d-1) were an order of magnitude higher than those of suspended TOC (0.002 d-1) during bloom-decline and non-bloom. In contrast, during late-bloom, suspended carbon exhibited rates of 0.01 d-1, comparable to sinking particles, and was enriched in exopolymer-rich colonies. Prokaryotic community composition varied primarily among bloom stages rather than carbon fractions, indicating that bloom stage-- and thus particle origin and composition--was the dominant control on bacterial degradation and assembly. Bacterial diversity peaked where carbon was refractory and originated from mixed phytoplankton. Together, these results demonstrate that suspended Phaeocystis-derived carbon can be rapidly remineralized when blooms produce exopolymer-rich colonies and highlight bloom stage as key regulator of microbial carbon processing and biological pump efficiency.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
The ISME Journal
194 papers in training set
Top 0.1%
12.1%
2
mBio
750 papers in training set
Top 2%
9.9%
3
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 7%
9.0%
4
mSystems
361 papers in training set
Top 1%
8.1%
5
Nature Communications
4913 papers in training set
Top 27%
6.7%
6
ISME Communications
103 papers in training set
Top 0.4%
4.8%
50% of probability mass above
7
Limnology and Oceanography
26 papers in training set
Top 0.1%
3.9%
8
Microbiome
139 papers in training set
Top 1%
3.5%
9
Environmental Microbiology
119 papers in training set
Top 0.9%
3.5%
10
Nature Microbiology
133 papers in training set
Top 1%
2.7%
11
Cell Reports
1338 papers in training set
Top 19%
2.4%
12
Global Change Biology
69 papers in training set
Top 0.7%
2.3%
13
Science
429 papers in training set
Top 13%
1.9%
14
eLife
5422 papers in training set
Top 40%
1.8%
15
Environmental Science & Technology
64 papers in training set
Top 1%
1.7%
16
Science Advances
1098 papers in training set
Top 19%
1.6%
17
Communications Earth & Environment
14 papers in training set
Top 0.5%
1.6%
18
iScience
1063 papers in training set
Top 18%
1.5%
19
mSphere
281 papers in training set
Top 4%
1.2%
20
Environmental Pollution
35 papers in training set
Top 2%
0.9%
21
Current Biology
596 papers in training set
Top 12%
0.9%
22
Communications Biology
886 papers in training set
Top 22%
0.8%
23
New Phytologist
309 papers in training set
Top 4%
0.8%
24
Frontiers in Microbiology
375 papers in training set
Top 8%
0.8%
25
npj Biofilms and Microbiomes
56 papers in training set
Top 2%
0.7%
26
Applied and Environmental Microbiology
301 papers in training set
Top 3%
0.7%
27
Science of The Total Environment
179 papers in training set
Top 5%
0.7%
28
PNAS Nexus
147 papers in training set
Top 2%
0.7%
29
Environmental Science & Technology Letters
22 papers in training set
Top 0.5%
0.6%
30
Cell Host & Microbe
113 papers in training set
Top 6%
0.6%