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Floristic, genomic and
functional turnover across
   elevation gradients

                  Marlien van der Merwe
                   Hannah McPherson
                    Maurizio Rossetto
              NATIONAL HERBARIUM OF NSW

                      Andrew Lowe
                 UNIVERSITY OF ADELAIDE




Australian Transect Network
Scope

• Conservation efforts that aim to improve
  climate adaptation outcomes need to
  consider evolutionary drivers that maximise
  adaptive potential, as well as floristic and
  genetic variation

• Use a multi-species, landscape-level
  approach to measure floristic and genetic
  turn-over along an environmental gradient
Aims
1. Species diversity and turn-over:
  –   a plot based approach
1. Neutral genetic diversity and turn-over:
  –   a multi-species landscape level approach
1. Transcriptomic variation:
  –   variation in expressed genes between
      climatic extremes
1. Functional diversity and turn-over:
  –   a multi-trait approach
Approach

• Finer scale: investigate climatic gradients
  across one soil type representing similar
  floristic assemblages
• Biodiversity and Adaptation Transect Sydney
  (BATS)
• Biodiversity and Adaptation Transect Northern
  NSW (BATN)
• Plus a range of satellite projects
BATS (Sydney sandstone)

      Highly diverse floristically on similar substrate, and
        strong gradients within a relatively small area




Mean temperature in coldest quarter      Annual precipitation
BATS Climatic Bins (Bioclim)
    and sampled plots
BATS: plot sampling
                                                      1600



•   50 x 50 m plots                                   1200                                                                                         DF    P WH




                                       Rainfall
•




                                    Annual rainfall
    Current: 24; aim: 28                                                                   LV MM
                                                                                                 CR GH C
                                                                                                             TN PR GW NJ
                                                                                                                         BM MT
                                                                                                                               PF KC
                                                                                                                                     MW


                                                                                     BF WR
•   Herbarium voucher and DNA
                                                       800                      AP

                                                                 AM GS BI GD

    voucher for every woody                            400


    species
•   Measure of abundance
                                                         0
                                                             0                  5                  10                  15                20                     25
                                                                                                           plot

•   Temperature loggers at each
    plot                                              1200

                                                                                                                                                             NJ GW
                                                                                                                                                        TN
                                                                                                                                                   BF
                                                                                                                                              AP


•   400+ species across all plots                     800
                                                                                                                                        MW




•   Species per plot: 40-70         Altitude
                                     altitude
                                                                                                                                   GD
                                                                                                                              GS
                                                                                                                        CR MT
                                                                                                             BI GH
•   Genera per plot: 28-50                            400

                                                                                              BM
                                                                                                    PF AM PR




•   Families per plot:15-27                                      WH KC DF
                                                                            P   LV WR MM C

                                                        0
                                                             0                   5                  10                  15                    20                     25
                                                                                                         plot number
BATS: plot sampling
•   50 x 50 m plots
•   Current: 24; aim: 28
•   Herbarium voucher and DNA
    voucher for every woody
    species
•   Measure of abundance
•   Temperature loggers at each
    plot

•   400+ species across all plots
•   Species per plot: 40-70
•   Genera per plot: 28-50
•   Families per plot:15-27
Differentiation along the gradient:
               Telopea speciosissima

   The NSW Waratah




Rossetto et al. (2011) BMC Evol Biol 11:126
McIntosh et al. (2013) Ann Bot
BATS: multi-species population study
• Investigate relative magnitude of gradient-
  level variations in genetic diversity
• Investigate landscape-level associations
  between climatic gradients and genetic
  diversity, richness and functional diversity



             Hannah McPherson
BATS: multi-species population study
• Within-species turn-over for
  species occurring across the
  gradient                                                 Isopogon anemonifolius
• Sample genetic diversity for
  species distributed across the
  gradient and place into overall
  distributional context            Petrophile pulchella


• Use genomic (NGS reduction-
  based) methods to assess
  distribution of diversity, and
  current vs. historical dynamics
• Inform transcriptome studies on
  same species                                     Leptospermum trinervium
Adaptive capacity of coastal vs.
 upland Telopea populations
                   Rymer et al (in prep)
BATS: genetic adaptation along the gradient




        4.6°C                            10.8°C

                        8.6°C                         11°C




                Mean temperature in coldest quarter

M vanderMerwe
BATS: obtaining transcriptome data

• Four libraries from each species :
 Petrophile pulchella, Isopogon anemonifolius and additional
 Petrophile canescens (Proteaceae)

• Each library: 25 seedlings from 5
  mother plants

• Future: major increase in species
  sampled (IBM support)
BATS: obtaining transcriptome data
                                                     RNA
                                                     extraction at
                                                     two cotyledon
                                                     stage
               Seedling germination at
               20°C 12h day/12h night


                                                   Pool extractions
                                                   from a population


                    One lane Illumina HiSeq


Between 20 million and 30
million reads per library         Contigs, coverage, Fst values, Blasts, etc …
BATS: adaptation or plasticity?
• Identify allelic and
  expression level variation
  between populations
• Differentiate between
  putative selection and
  neutral variation

• Develop markers and
  screen across gradient
• Identify multispecies
  patterns of ‘genetic
  response’ across gradient
BATN: rainforest gradient
• 24 (50x20) permanent plots on basalt
• 278 species; 205 genera; 81 families
• Full abundance (including demographic,
  disturbance and temporal data)
• Currently no DNA samples but pilot
  genomic study
• Extensive functional dataset
                                                  R Kooyman

                               Reproduced from Crisp et al. 2004
BATN: rainforest gradient
BATN: functional diversity




                                      Rainfall




Peter D Wilson (MQU)
Bringing it all together
• Integrating results:
  – Associations between molecular,
    environmental and functional diversities
  – Biodiversity, adaptive and landscape
    genetics
  – BATS / BATN / TREND (SA)
Acknowledgements
• Foundation and Friends of RBG&DT; ARC
  Linkage (Lowe, Rossetto, Summerell)

• Volunteer team: Alexander Dohms, Brendan
  Molloy, Lawrence Mou, Emma Oldman,
  Juelian Siow, Aurelia Webster-Hawes
• Field work assistance: Louisa Murray,
  Michael Elgey, Susan Rutherford, Andrew
  Orme, Seanna McCune, Doug Benson, Melita
  Milner, Richard Milner
• Doug Benson; Bob Coveny; Robert Kooyman

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Maurizio Rossetto_Floristic and functional turnover across elevation gradients

  • 1. Floristic, genomic and functional turnover across elevation gradients Marlien van der Merwe Hannah McPherson Maurizio Rossetto NATIONAL HERBARIUM OF NSW Andrew Lowe UNIVERSITY OF ADELAIDE Australian Transect Network
  • 2. Scope • Conservation efforts that aim to improve climate adaptation outcomes need to consider evolutionary drivers that maximise adaptive potential, as well as floristic and genetic variation • Use a multi-species, landscape-level approach to measure floristic and genetic turn-over along an environmental gradient
  • 3. Aims 1. Species diversity and turn-over: – a plot based approach 1. Neutral genetic diversity and turn-over: – a multi-species landscape level approach 1. Transcriptomic variation: – variation in expressed genes between climatic extremes 1. Functional diversity and turn-over: – a multi-trait approach
  • 4. Approach • Finer scale: investigate climatic gradients across one soil type representing similar floristic assemblages • Biodiversity and Adaptation Transect Sydney (BATS) • Biodiversity and Adaptation Transect Northern NSW (BATN) • Plus a range of satellite projects
  • 5. BATS (Sydney sandstone) Highly diverse floristically on similar substrate, and strong gradients within a relatively small area Mean temperature in coldest quarter Annual precipitation
  • 6. BATS Climatic Bins (Bioclim) and sampled plots
  • 7. BATS: plot sampling 1600 • 50 x 50 m plots 1200 DF P WH Rainfall • Annual rainfall Current: 24; aim: 28 LV MM CR GH C TN PR GW NJ BM MT PF KC MW BF WR • Herbarium voucher and DNA 800 AP AM GS BI GD voucher for every woody 400 species • Measure of abundance 0 0 5 10 15 20 25 plot • Temperature loggers at each plot 1200 NJ GW TN BF AP • 400+ species across all plots 800 MW • Species per plot: 40-70 Altitude altitude GD GS CR MT BI GH • Genera per plot: 28-50 400 BM PF AM PR • Families per plot:15-27 WH KC DF P LV WR MM C 0 0 5 10 15 20 25 plot number
  • 8. BATS: plot sampling • 50 x 50 m plots • Current: 24; aim: 28 • Herbarium voucher and DNA voucher for every woody species • Measure of abundance • Temperature loggers at each plot • 400+ species across all plots • Species per plot: 40-70 • Genera per plot: 28-50 • Families per plot:15-27
  • 9. Differentiation along the gradient: Telopea speciosissima The NSW Waratah Rossetto et al. (2011) BMC Evol Biol 11:126 McIntosh et al. (2013) Ann Bot
  • 10. BATS: multi-species population study • Investigate relative magnitude of gradient- level variations in genetic diversity • Investigate landscape-level associations between climatic gradients and genetic diversity, richness and functional diversity Hannah McPherson
  • 11. BATS: multi-species population study • Within-species turn-over for species occurring across the gradient Isopogon anemonifolius • Sample genetic diversity for species distributed across the gradient and place into overall distributional context Petrophile pulchella • Use genomic (NGS reduction- based) methods to assess distribution of diversity, and current vs. historical dynamics • Inform transcriptome studies on same species Leptospermum trinervium
  • 12. Adaptive capacity of coastal vs. upland Telopea populations Rymer et al (in prep)
  • 13. BATS: genetic adaptation along the gradient 4.6°C 10.8°C 8.6°C 11°C Mean temperature in coldest quarter M vanderMerwe
  • 14. BATS: obtaining transcriptome data • Four libraries from each species : Petrophile pulchella, Isopogon anemonifolius and additional Petrophile canescens (Proteaceae) • Each library: 25 seedlings from 5 mother plants • Future: major increase in species sampled (IBM support)
  • 15. BATS: obtaining transcriptome data RNA extraction at two cotyledon stage Seedling germination at 20°C 12h day/12h night Pool extractions from a population One lane Illumina HiSeq Between 20 million and 30 million reads per library Contigs, coverage, Fst values, Blasts, etc …
  • 16. BATS: adaptation or plasticity? • Identify allelic and expression level variation between populations • Differentiate between putative selection and neutral variation • Develop markers and screen across gradient • Identify multispecies patterns of ‘genetic response’ across gradient
  • 17. BATN: rainforest gradient • 24 (50x20) permanent plots on basalt • 278 species; 205 genera; 81 families • Full abundance (including demographic, disturbance and temporal data) • Currently no DNA samples but pilot genomic study • Extensive functional dataset R Kooyman Reproduced from Crisp et al. 2004
  • 19. BATN: functional diversity Rainfall Peter D Wilson (MQU)
  • 20. Bringing it all together • Integrating results: – Associations between molecular, environmental and functional diversities – Biodiversity, adaptive and landscape genetics – BATS / BATN / TREND (SA)
  • 21. Acknowledgements • Foundation and Friends of RBG&DT; ARC Linkage (Lowe, Rossetto, Summerell) • Volunteer team: Alexander Dohms, Brendan Molloy, Lawrence Mou, Emma Oldman, Juelian Siow, Aurelia Webster-Hawes • Field work assistance: Louisa Murray, Michael Elgey, Susan Rutherford, Andrew Orme, Seanna McCune, Doug Benson, Melita Milner, Richard Milner • Doug Benson; Bob Coveny; Robert Kooyman

Hinweis der Redaktion

  1. And how do they all relate to each other?