Vertical microbial profiling of water column reveals prokaryotic communities and distribution features of Antarctic Peninsula

Jiang Li Luying Zhao Xiaoqian Gu Chengxuan Li Qian Zhang Liping Fu Ao Zhang

Jiang Li, Luying Zhao, Xiaoqian Gu, Chengxuan Li, Qian Zhang, Liping Fu, Ao Zhang. Vertical microbial profiling of water column reveals prokaryotic communities and distribution features of Antarctic Peninsula[J]. Acta Oceanologica Sinica, 2023, 42(9): 90-100. doi: 10.1007/s13131-023-2160-3
Citation: Jiang Li, Luying Zhao, Xiaoqian Gu, Chengxuan Li, Qian Zhang, Liping Fu, Ao Zhang. Vertical microbial profiling of water column reveals prokaryotic communities and distribution features of Antarctic Peninsula[J]. Acta Oceanologica Sinica, 2023, 42(9): 90-100. doi: 10.1007/s13131-023-2160-3

doi: 10.1007/s13131-023-2160-3

Vertical microbial profiling of water column reveals prokaryotic communities and distribution features of Antarctic Peninsula

Funds: The Impact and Response of Antarctic Seas to Climate Change under contract No. IRFSOCC2020-2022.
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  • Figure  1.  Locations of sampling stations.

    Figure  2.  Scatterplot of sequencing and environmental parameters including (from left to right): operation taxonomic unit (OTUs) (97%), temperature, salinity, and concentrations of oxygen, chlorophyll a, and total organic carbon.

    Figure  3.  Taxonomic distribution indicating dominant bacterial communities at phylum (a), class (b), and genus levels (c).

    Figure  4.  Clustering of water column communities of different depths by weighted pair-group method with arithmetic mean.

    Figure  5.  PCoA of prokaryotic community compositions based on unweighted UniFrac distance.

    Figure  6.  Identification of the distinct bacterial taxa from different stations using Linear discriminant analysis Effect Size (LEfSe). Only bacterial taxa with linear discriminant analysis (LDA) values greater than 4 are displayed in this cladogram.

    Figure  7.  Correspondence analysis diagram illustrating the relationships between the OTU-level community structures of different sampling sites. PCNM (principalcoordinates of neighbour matrices)

    Figure  8.  Prediction of microbiome function using FAPROTAX.

    Table  1.   Sample sites description

    No. Station Date (UTC) Time (UTC) Latitude Longitude Depth/m
    1 SR0107 2018-01-02 17:42 59°57.588' S 62°18.739'W 3 237
    2 DA03 2018-01-04 9:58 60°42.002'S 53°0.073'W 456
    3 D305 2018-01-09 10:11 59°0.040'S 49°36.002'W 3 922
    4 D311 2018-01-10 16:35 62°0.114'S 48°23.971'W 3 266
    5 D506 2018-01-20 8:01 59°29.968'S 42°30.116'W 3 001
    6 D510 2018-01-21 19:34 61°17.989'S 42°29.975'W 520
    7 DZ04 2018-01-29 1:35 60°40.884'S 48°56.869'W 1 147
    8 HS0A 2018-02-01 17:22 62°25.914'S 58°24.620'W 1 052
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    Table  2.   Total sequencing information

    Station ID Raw_reads Clean_reads Average length/nt Unique_tag operation taxonomic unit
    DZ04 85 925.29 80 431.86 371.28 17 794.43 746.71
    D506 81 482.22 76 914.56 370.88 22 243.22 785.66
    DA03 87 184.57 76 857.00 370.71 20 270.71 888.42
    D510 79 533.43 74 742.14 371.57 23 185.29 714.14
    HSA 74 749.29 59 261.86 371.14 18 102.29 550.28
    SR0107 80 856.36 77 193.55 370.72 22 337.00 913.54
    D311 78 915.67 74 208.17 371.50 21 128.17 682.66
    D305 80 973.11 77 158.89 370.66 25 446.78 741.66
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    Table  3.   Biodiversity and richness indices of different depth water column samples

    Number Depth/m Observed species Shannon Simpson Chao1 ACE Good’s coverage
    Vertical.1 0 408.37 5.36 0.94 537.09 537.74 0.99
    Vertical.2 30 416.50 5.53 0.94 528.94 540.14 0.99
    Vertical.3 75 534.75 5.91 0.95 648.74 662.71 0.99
    Vertical.4 100 632.25 6.13 0.95 793.81 787.07 0.99
    Vertical.5 200 769.83 6.22 0.94 962.32 982.97 0.99
    Vertical.6 500 849.42 6.57 0.95 1 040.85 1 051.24 0.99
    Vertical.7 1 000 874.00 6.62 0.96 1 074.29 1 078.05 0.99
    Vertical.8 ≥2 000 875.00 6.49 0.96 1 092.54 1 095.79 0.99
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  • 收稿日期:  2022-06-20
  • 录用日期:  2022-11-17
  • 网络出版日期:  2023-10-16
  • 刊出日期:  2023-09-01