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Bacterial Diversity:
A Year in the Western English
Channel

Jack A. Gilbert, Dawn Field, Paul Swift,
Margaret Hughes, Ben Temperton, Paul
Somerfield, Sue Huse, Ian Joint, etc.
Why look at Bacterial Diversity?


 • Surely it’s just stamp collecting?
 • Stamps are not responsible for the majority of the
 worlds biogeochemical cycling.
 • Understanding the reservoir of bacterial diversity
     • Base line for future change, e.g. climate, ocean
     acidification.
     • Identification of rare bacteria for the biotech harvest.
 • Help to resolve ecological models through identification
 and interrogation of trophic links.
What did we do?

• Pyrosequencing of 16 x V6-16s-tag samples.
• Current study:
   –   12 time points,
   –   February – December 2007
   –   11,327 to 17,339 reads per sample
   –   182,560 reads in total


• Sample site:
   – Western English Channel, L4 site.
   – Unique historical dataset (Southward et al, 2005).
   – Boundary between several bodies of water, including the
     gulf stream.
   – Busiest shipping lane in the world.

                                                      Gilbert et al. Env Microb., 2009
High Diversity

                           • 182,560 reads in total = 17,673 “species”
                           • Only 0.5 % found at all 12 time points
                                     – 54 % of all reads


                                                        Unique
                                                               A
                                                                                                                                             90 % identity
                                                                                                                                                         D


                          4000                                                                                          1200

                          3500                                                                                          Feb 16th                                                        Feb 16th
                                                                                                                        1000
                                                                                                                        Mar 7th                                                         Mar 7th
                                                                                              Number of OTUs observed
Number of OTUs observed




                          3000                                                                                          Mar 26th                                                        Mar 26th
                                                                                                                         800
                                                                                                                        Apr 23rd                                                        Apr 23rd
                          2500                                                                                                                                                          May 8th
                                                                                                                        May 8th
                                                                                                                        Jun 4th                                                         Jun 4th
                          2000                                                                                           600
                                                                                                                        Jun 25th                                                        Jun 25th
                                                                                                                        Jul 30th                                                        Jul 30th
                          1500
                                                                                                                         400
                                                                                                                        Aug 20th                                                        Aug 20th
                          1000                                                                                          Sep 29th                                                        Sep 29th
                                                                                                                        Oct 25th                                                        Oct 25th
                                                                                                                         200
                           500                                                                                          Dec 12th                                                        Dec 12th

                             0                                                                                             0
                                 0       5000             10000               15000   20000                                    0   5000             10000               15000   20000
                                                Number of sequences sampled                                                               Number of sequences sampled
Random Re-sampling to standardise
comparisons

• Sampling effort was identical.
• Sequencing effort varied as an artefact
  of pyrosequencing.
• Randomly Re-sampled to smallest
  dataset
   – Daisy_Chopper v1.0 (
     http://www.genomics.ceh.ac.uk/GeneSwytch/Tools.html
     ).
   – 11,327 reads.
   – Lost 30% of unique OTUs
   – 12,393 OTUs left.


                                              Gilbert et al. Env Microb., 2009
A word on “normalization”




       Taxa cannot be added when normalizing to a
       larger sample. Just amplifies error!
Random re-sampling
                           1400




                           1200




                           1000
Diversity index (Fisher)




                            800
                                                                                                                   Re-sampled bacterial
                                                                                                                   species richness

                            600
                                                                                                                   Original bacterial species
                                                                                                                   richness


                            400




                            200




                             0
                                  0   2000   4000   6000   8000     10000     12000   14000   16000   18000    20000
                                                           Number of sequence reads

                                                                                                Gilbert et al. Env. Microb.,
Rare Microbial Assemblage
• Even following re-sampling:
   – 78% of the OTUs were time-point specific
   – 67% of the OTUs were singletons
• Singletons diverged from other tags in the dataset by >2
  base pairs – hence not sequencing errors.

14000

12000

10000

8000                Rare assemblage? Or just
6000
                        under-sampled?
4000

2000

   0
Evidence for seasonality: the presence of
‘winter’, ‘spring’, ‘summer’ and ‘fall’ communities
                               Transform: Fourth root
                               Resemblance: S17 Bray Curtis similarity
                                                      2D Stress: 0.11    Similarity
                                                                                25
                          5
               3                     7

                                                           6
           1
                                4
                    11                    8


       2                  10
                                         9


                         12



                                                    Gilbert et al. Env Microb., 2009
Correlation to environmental parameters
                      Rho                                      Variables
                             Temp   Silicate   PO4   Density    TOC     Nanoeuks     Coccoliths   Dinoflagels




All OTUs              0.73

Gammaproteobacteria   0.75

Alphaproteobacteria   0.73

Bacteroidetes         0.72

Actinobacteria        0.63

Cyanobacteria         0.57

Betaproteobacteria    0.52


                                                                      Gilbert et al. Env Microb., 2009
2007-2008     2007-2008 alldomains resampled
                                  Transform: Log(X+1)
                                  Resemblance: S17 Bray Curtis similarity

                                                          2D Stress: 0.16   month
                                                                             Feb
                                                                             EMar
                                                                             LMar
                                                                             Apr
                                                                             May
                                      2008
        2008 correlates with Temperature,                                    EJun
                                                                             LJun
               nutrients and density!                                        Jul
                                                                             Aug
                                                                             Sep
                                                                             Oct
                                                                             Dec




                                      2007
Densisty and Salinity in 2008
 1028




 1026




 1024




 1022                                   Density-2007
                                        Denisty-2008
 1020




 1018




 1016
        1   2   3   4   5   6   7   8     9       10   11   12
Top 10 most abundant bacterial phyla
       Alphaproteobacteria
4000
       Bacteroidetes


3500
       Gammaproteobacteria
       Organelle
                             Effect of depressed
       Cyanobacteria               salinity?
       Unknow n
3000
       Unknow n bacteria
       Betaproteobacteria
2500   Actinobacteria
       Deferribacteres

2000



1500



1000



 500



  0
          16

          07

          26

          23




          25

          30

          20

          29

          25

          12




           17

          21

          06

          02

          23

          21




          08
          08

          04




          20

          05




          20

          22

          27
        2_




        6_

        7_

        8_




        3_

        4_

        5_

        6_




        2_
        3_

        3_

        4_

        5_

        6_




        9_

        0_

        2_

        2_

        3_




        6_

        7_

        8_

        9_

        0_
      _0
      _0

      _0

      _0

      _0

      _0

      _0

      _0

      _0

      _0

      _0

      _1

      _1

      _0

      _0




      _0

      _0

      _0

      _0

      _0

      _0

      _0

      _1

      _1
  07

  07

  07

  07

  07

  07

   07

   07

   07

  07

  07

  07

  08

  08

   08

   08

   08

  08

  08

  08

  08

  08

  08

   08
20

20

20




20

20

20

20

20

20




20

20

20

20

20

20




20
20

20

20




20

20




20

20

20
Conclusions

• Large sequencing effort but no plateau on rarefaction.

• Majority of unique species are rare

• Bacterial diversity can be linked to environment.

• Inter-annual trends exist

• Climate can affect microbial diversity.


                                            Gilbert et al. Env Microb., 2009
New Study – GS-flx Titanium

• Seasonal Diel cycling
• Metagenomics, Metatranscriptomics and 16S-
  tag sequencing.
• No rRNA removal for metatranscriptomics
   – Check for GenomiPHI exclusion theory.
• 1.5 million transcripts (250 Mbp)
• 5.75 million gene fragments (1.9 Billion bp)
AllDomains L4_diel-resampled
16S tag diversity analysis                        Transform: Log(X+1)
                                                  Resemblance: S17 Bray Curtis similarity

                      2008_04_22_Np                                       2D Stress: 0.04   Month
                                                                                             Jan
                                                                                             Aug
                                                                                             Apr
         2008_04_22_Dp



                                                                 2008_01_28_D




                                   2008_04_22_D
                                                                  2008_01_28_Np
   2008_08_27_Np
          2008_08_27_Dp
       2008_08_28_Dp
  2008_08_28_Np

                                                       2008_01_28_Dp
AllDomains L4_diel-resampled
16S tag diversity analysis                        Transform: Log(X+1)
                                                  Resemblance: S17 Bray Curtis similarity

                      2008_04_22_Np                                       2D Stress: 0.04   Month
                                                                                             Jan
                                                                                             Aug
                                                                                             Apr
         2008_04_22_Dp



                                                                 2008_01_28_D




                                   2008_04_22_D
                                                                  2008_01_28_Np
   2008_08_27_Np
          2008_08_27_Dp
       2008_08_28_Dp
  2008_08_28_Np

                                                       2008_01_28_Dp
AllDomains L4_diel-resampled
16S tag diversity analysis                        Transform: Log(X+1)
                                                  Resemblance: S17 Bray Curtis similarity

                      2008_04_22_Np                                       2D Stress: 0.04   Month
                                                                                             Jan
                                                                                             Aug
                                                                                             Apr
         2008_04_22_Dp



                                                                 2008_01_28_D




                                   2008_04_22_D
                                                                  2008_01_28_Np
   2008_08_27_Np
          2008_08_27_Dp
       2008_08_28_Dp
  2008_08_28_Np

                                                       2008_01_28_Dp
Western English Channel
                   http://www.westernchannelobservatory.org.uk/
• One of the longest time series in the world (Southward et al., 2005)
• Recently added 7 years worth of bacterial 16S-rDNA pyrosequencing tag data:
    • 1 million 16S rDNA sequences!!
• Within next six months:
    • >30 Million pyrosequencing reads – metagenomic and metatranscriptomic
    • ~12 billion base pairs of data!!
NERC - PG&P for funding the Aquatic Microbial
Metagenomics consortium
CEH – Mark Bailey for additional funding
SEED – Rob Edwards, Folker Meyer and the MG-
RAST group
            Metascience needs
JCVI – Doug Rusch and team
EMBL-EBI - Susanna-Assunta Sansone, Philippe
Rocca-Serra
            a Metacommunity
CAMERA – Ying Huang, Weizhong Li, Paul Gilna,
Adam Godzik
NEBC – Dawn Field, Bela Tiwari, Tim Booth
Liverpool-MGF – Neil Hall, Margaret Hughes, Kevin
Ashelford
PML – Ian Joint - for being a great mentor.

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Nutritional Needs Presentation - HLTH 104
 

A Year In the Western English Channel

  • 1. Bacterial Diversity: A Year in the Western English Channel Jack A. Gilbert, Dawn Field, Paul Swift, Margaret Hughes, Ben Temperton, Paul Somerfield, Sue Huse, Ian Joint, etc.
  • 2. Why look at Bacterial Diversity? • Surely it’s just stamp collecting? • Stamps are not responsible for the majority of the worlds biogeochemical cycling. • Understanding the reservoir of bacterial diversity • Base line for future change, e.g. climate, ocean acidification. • Identification of rare bacteria for the biotech harvest. • Help to resolve ecological models through identification and interrogation of trophic links.
  • 3. What did we do? • Pyrosequencing of 16 x V6-16s-tag samples. • Current study: – 12 time points, – February – December 2007 – 11,327 to 17,339 reads per sample – 182,560 reads in total • Sample site: – Western English Channel, L4 site. – Unique historical dataset (Southward et al, 2005). – Boundary between several bodies of water, including the gulf stream. – Busiest shipping lane in the world. Gilbert et al. Env Microb., 2009
  • 4. High Diversity • 182,560 reads in total = 17,673 “species” • Only 0.5 % found at all 12 time points – 54 % of all reads Unique A 90 % identity D 4000 1200 3500 Feb 16th Feb 16th 1000 Mar 7th Mar 7th Number of OTUs observed Number of OTUs observed 3000 Mar 26th Mar 26th 800 Apr 23rd Apr 23rd 2500 May 8th May 8th Jun 4th Jun 4th 2000 600 Jun 25th Jun 25th Jul 30th Jul 30th 1500 400 Aug 20th Aug 20th 1000 Sep 29th Sep 29th Oct 25th Oct 25th 200 500 Dec 12th Dec 12th 0 0 0 5000 10000 15000 20000 0 5000 10000 15000 20000 Number of sequences sampled Number of sequences sampled
  • 5. Random Re-sampling to standardise comparisons • Sampling effort was identical. • Sequencing effort varied as an artefact of pyrosequencing. • Randomly Re-sampled to smallest dataset – Daisy_Chopper v1.0 ( http://www.genomics.ceh.ac.uk/GeneSwytch/Tools.html ). – 11,327 reads. – Lost 30% of unique OTUs – 12,393 OTUs left. Gilbert et al. Env Microb., 2009
  • 6. A word on “normalization” Taxa cannot be added when normalizing to a larger sample. Just amplifies error!
  • 7. Random re-sampling 1400 1200 1000 Diversity index (Fisher) 800 Re-sampled bacterial species richness 600 Original bacterial species richness 400 200 0 0 2000 4000 6000 8000 10000 12000 14000 16000 18000 20000 Number of sequence reads Gilbert et al. Env. Microb.,
  • 8. Rare Microbial Assemblage • Even following re-sampling: – 78% of the OTUs were time-point specific – 67% of the OTUs were singletons • Singletons diverged from other tags in the dataset by >2 base pairs – hence not sequencing errors. 14000 12000 10000 8000 Rare assemblage? Or just 6000 under-sampled? 4000 2000 0
  • 9. Evidence for seasonality: the presence of ‘winter’, ‘spring’, ‘summer’ and ‘fall’ communities Transform: Fourth root Resemblance: S17 Bray Curtis similarity 2D Stress: 0.11 Similarity 25 5 3 7 6 1 4 11 8 2 10 9 12 Gilbert et al. Env Microb., 2009
  • 10. Correlation to environmental parameters Rho Variables Temp Silicate PO4 Density TOC Nanoeuks Coccoliths Dinoflagels All OTUs 0.73 Gammaproteobacteria 0.75 Alphaproteobacteria 0.73 Bacteroidetes 0.72 Actinobacteria 0.63 Cyanobacteria 0.57 Betaproteobacteria 0.52 Gilbert et al. Env Microb., 2009
  • 11. 2007-2008 2007-2008 alldomains resampled Transform: Log(X+1) Resemblance: S17 Bray Curtis similarity 2D Stress: 0.16 month Feb EMar LMar Apr May 2008 2008 correlates with Temperature, EJun LJun nutrients and density! Jul Aug Sep Oct Dec 2007
  • 12. Densisty and Salinity in 2008 1028 1026 1024 1022 Density-2007 Denisty-2008 1020 1018 1016 1 2 3 4 5 6 7 8 9 10 11 12
  • 13. Top 10 most abundant bacterial phyla Alphaproteobacteria 4000 Bacteroidetes 3500 Gammaproteobacteria Organelle Effect of depressed Cyanobacteria salinity? Unknow n 3000 Unknow n bacteria Betaproteobacteria 2500 Actinobacteria Deferribacteres 2000 1500 1000 500 0 16 07 26 23 25 30 20 29 25 12 17 21 06 02 23 21 08 08 04 20 05 20 22 27 2_ 6_ 7_ 8_ 3_ 4_ 5_ 6_ 2_ 3_ 3_ 4_ 5_ 6_ 9_ 0_ 2_ 2_ 3_ 6_ 7_ 8_ 9_ 0_ _0 _0 _0 _0 _0 _0 _0 _0 _0 _0 _0 _1 _1 _0 _0 _0 _0 _0 _0 _0 _0 _0 _1 _1 07 07 07 07 07 07 07 07 07 07 07 07 08 08 08 08 08 08 08 08 08 08 08 08 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20
  • 14. Conclusions • Large sequencing effort but no plateau on rarefaction. • Majority of unique species are rare • Bacterial diversity can be linked to environment. • Inter-annual trends exist • Climate can affect microbial diversity. Gilbert et al. Env Microb., 2009
  • 15. New Study – GS-flx Titanium • Seasonal Diel cycling • Metagenomics, Metatranscriptomics and 16S- tag sequencing. • No rRNA removal for metatranscriptomics – Check for GenomiPHI exclusion theory. • 1.5 million transcripts (250 Mbp) • 5.75 million gene fragments (1.9 Billion bp)
  • 16. AllDomains L4_diel-resampled 16S tag diversity analysis Transform: Log(X+1) Resemblance: S17 Bray Curtis similarity 2008_04_22_Np 2D Stress: 0.04 Month Jan Aug Apr 2008_04_22_Dp 2008_01_28_D 2008_04_22_D 2008_01_28_Np 2008_08_27_Np 2008_08_27_Dp 2008_08_28_Dp 2008_08_28_Np 2008_01_28_Dp
  • 17. AllDomains L4_diel-resampled 16S tag diversity analysis Transform: Log(X+1) Resemblance: S17 Bray Curtis similarity 2008_04_22_Np 2D Stress: 0.04 Month Jan Aug Apr 2008_04_22_Dp 2008_01_28_D 2008_04_22_D 2008_01_28_Np 2008_08_27_Np 2008_08_27_Dp 2008_08_28_Dp 2008_08_28_Np 2008_01_28_Dp
  • 18. AllDomains L4_diel-resampled 16S tag diversity analysis Transform: Log(X+1) Resemblance: S17 Bray Curtis similarity 2008_04_22_Np 2D Stress: 0.04 Month Jan Aug Apr 2008_04_22_Dp 2008_01_28_D 2008_04_22_D 2008_01_28_Np 2008_08_27_Np 2008_08_27_Dp 2008_08_28_Dp 2008_08_28_Np 2008_01_28_Dp
  • 19. Western English Channel http://www.westernchannelobservatory.org.uk/ • One of the longest time series in the world (Southward et al., 2005) • Recently added 7 years worth of bacterial 16S-rDNA pyrosequencing tag data: • 1 million 16S rDNA sequences!! • Within next six months: • >30 Million pyrosequencing reads – metagenomic and metatranscriptomic • ~12 billion base pairs of data!!
  • 20. NERC - PG&P for funding the Aquatic Microbial Metagenomics consortium CEH – Mark Bailey for additional funding SEED – Rob Edwards, Folker Meyer and the MG- RAST group Metascience needs JCVI – Doug Rusch and team EMBL-EBI - Susanna-Assunta Sansone, Philippe Rocca-Serra a Metacommunity CAMERA – Ying Huang, Weizhong Li, Paul Gilna, Adam Godzik NEBC – Dawn Field, Bela Tiwari, Tim Booth Liverpool-MGF – Neil Hall, Margaret Hughes, Kevin Ashelford PML – Ian Joint - for being a great mentor.