Back

Microbial Taxonomy and Function Linked to Carbon Cycling in Mangrove Sediments

Khairi, N.; Hamdan, N. H.; Rozaimi, M.; Md Zoqratt, M. Z. H.; Mohammad Nasir, M. A.; Abdella, B.; Tan, G. Y. A.; Eem, L. P.; Amir, A. A.; Akma, W. S.; Hazrin Chong, N. H.

2026-05-14 microbiology
10.64898/2026.05.13.724760 bioRxiv
Show abstract

Microbial communities are central to the biogeochemical cycling of nutrients, critically shaping ecosystem functioning and influencing climate change mitigation. Mangrove ecosystems are among the most important global carbon sinks that enable large amounts of carbon to be sequestered and stored. However, gaps persist in understanding the fundamental aspects of microbial-driven carbon cycling in these environments. This research explores the microbial taxonomic and functional diversity related to carbon cycling in selected tropical mangrove sediments across various locations and depths. Sequencing data analyses based on the 16S rRNA gene revealed distinct microbial community composition but conserved predicted functions across the different mangrove locations. Depth was a strong influence on the functional composition, with carbon-related pathways and metabolic strategies differing between top and bottom sediments. Putative functional gene abundance analyses revealed that carbon fixation processes were among the top carbon-related pathways, suggesting the key role of mangrove microbial communities in sustaining long-term carbon storage. Within these communities, Desulfobacterota appeared as a primary contributor to carbon fixation, while Chloroflexota played a significant role in carbon metabolism and methane cycling. Co-occurrence network analyses also revealed that these microbial groups were among the keystone taxa in mangrove sediments. Our study adds on to the body of knowledge on the mangrove microbiome and their carbon metabolic processes, which helps to improve strategies for managing and leveraging these vital carbon sinks.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
PLOS ONE
4510 papers in training set
Top 18%
10.2%
2
Environmental Pollution
35 papers in training set
Top 0.4%
7.2%
3
mSystems
361 papers in training set
Top 1%
6.9%
4
Science of The Total Environment
179 papers in training set
Top 1%
6.9%
5
Frontiers in Microbiology
375 papers in training set
Top 1.0%
6.9%
6
Environmental Microbiology
119 papers in training set
Top 0.4%
6.4%
7
Scientific Reports
3102 papers in training set
Top 23%
4.9%
8
mSphere
281 papers in training set
Top 1%
3.7%
50% of probability mass above
9
Microbiology Spectrum
435 papers in training set
Top 0.8%
3.6%
10
mBio
750 papers in training set
Top 7%
1.9%
11
Environmental Microbiome
26 papers in training set
Top 0.2%
1.9%
12
Microbial Ecology
28 papers in training set
Top 0.1%
1.8%
13
Applied and Environmental Microbiology
301 papers in training set
Top 2%
1.8%
14
Frontiers in Marine Science
55 papers in training set
Top 0.6%
1.8%
15
ISME Communications
103 papers in training set
Top 1%
1.8%
16
Environmental Microbiology Reports
27 papers in training set
Top 0.4%
1.3%
17
Bioresource Technology
11 papers in training set
Top 0.3%
1.2%
18
npj Biofilms and Microbiomes
56 papers in training set
Top 1%
1.0%
19
Archives of Microbiology
11 papers in training set
Top 0.3%
1.0%
20
Water Research
74 papers in training set
Top 1%
0.9%
21
The ISME Journal
194 papers in training set
Top 2%
0.9%
22
Environmental Science & Technology
64 papers in training set
Top 2%
0.9%
23
Microbiome
139 papers in training set
Top 3%
0.9%
24
Microorganisms
101 papers in training set
Top 2%
0.8%
25
Current Microbiology
18 papers in training set
Top 0.5%
0.8%
26
PeerJ
261 papers in training set
Top 13%
0.8%
27
Journal of Hazardous Materials
19 papers in training set
Top 0.9%
0.8%
28
Nature Communications
4913 papers in training set
Top 63%
0.8%
29
Global Change Biology
69 papers in training set
Top 2%
0.8%
30
Microbiology Resource Announcements
22 papers in training set
Top 0.9%
0.7%