Abstract
18
19
Most scleractinian corals are drastically threatened due to global changes but some 20
colonies are intriguingly resistant to heat stress. Coral thermal tolerance partly relies on 21
genomic determinism among the cnidarian compartment but also on the physiology of their 22
associated symbiotic algae (Symbiodiniaceae). In fact, some corals can shift and/or shuffle their 23
associated Symbiodiniaceae communities to temporally cope with heat stress. So far coral 24
adjustments of their endosymbiotic algae were mainly observed at short-term evolutionary time 25
scales and we lack a general vision of coral holobiont evolution at broader timescales. We here 26
combined the use of ancient DNA from a coral core and a metabarcoding approach, to retrace 27
past Symbiodiniaceae communities associated with a living colony of Porites lobata from New 28
Caledonia over the last century. We were able to extract ancient DNA along the coral core at 29
19 time points dating back to the 1870’s. Overall, we detected 13 OTUs, nine of which were 30
affiliated to the Symbiodiniaceae Cladocopium clade, one to Azadinium spinosum 31
(Dinophycae); one to the host P. lobata, the two other OTUs remained unidentified. One OTU 32
was largely predominant and was ubiquitous over all samples. The number of OTUs was 33
marginally correlated to the total number of sequences per sample but not to the age of the 34
coraDNA sample. We found a generally stable core microbiota associated with P. lobata , 35
although drastic change in community composition was observed in coraDNA samples 36
corresponding to an extreme hot winter temperature event. More generally, this study paves the 37
way for further investigations on the evolutionary dynamics of coral holobionts at the colony 38
level over large temporal scales. 39
40
Keywords
41
Coral; Symbiodiniaceae; Ancient DNA; metabarcoding, ITS2 42
43
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3
Introduction
44
45
Scleractinian corals and the associated reef ecosystems are among the most threatened 46
systems worldwide due to global changes. Almost half of all living corals have already been 47
destroyed in the last 150 years 1. Such massive loss has accelerated over the last three decades 48
under the influence of extreme climatic events, in particular heat waves, the frequency of which 49
is steadily increasing 1. Despite this alarming situation, coral colonies particularly resistant to 50
heat stress have been identified 2–4. These observations provide some hope for the maintenance 51
and/ or the restoration of corals and ecosystems they support. They also call for an urging need 52
to unravel the molecular mechanisms by which some coral colonies survive through time 53
despite recurrent events of environmental stresses and help adjust conservation plans. This task 54
is all but trivial in particular because corals are complex holobionts composed of cnidarians 55
associated with microbial communities including – among others – endosymbiotic algae 56
(Symbiodiniaceae), protista and bacteria, each of these partners potentially influencing the 57
thermotolerance of the colonies 5,6. 58
Variation in coral thermal tolerance across latitude, at least partly relies on genomic 59
variation among the cnidarian compartment of coral colonies 7. In this respect, it has been 60
suggested that resistant genotypes could emerge through intrinsic rapid genomic changes such 61
as somatic mutations 8, the activation of transposable elements 9 and/ or some modifications in 62
the proportions of genotypes coexisting within the same colony 10,11. Additionally to genomic 63
modifications, changes in DNA methylation patterns in cnidarians may also induce – at least 64
temporarily – adaptive phenotypic adjustments in coral colonies exposed to recurrent heat stress 65
12,13. Besides changes within the cnidarian compartments, coral thermal tolerance also depends 66
on the physiology of their associated symbiotic algae (Symbiodiniaceae), with which they form 67
a phototrophic mutualistic symbiosis 14,15. Symbiodiniaceae constitute a highly diversified 68
taxonomic group among which the identified species and even strains among species display 69
huge variation in thermal tolerance 16,17. Recently, a laboratory experiment has shown that 70
experimentally adapted strains of the Symbiodiniaceae Cladocopium goreaui to high 71
temperature, provide a better protection to heat stress in Acropora tenuis colonies after 72
reimplantation 18. This suggests that thermal tolerance may be acquired rapidly by natural coral 73
colonies via the acquisition of acclimatized or adapted Symbiodiniaceae from the surrounding 74
environment in response to heat stress. In fact, symbiont switching – the acquisition of new 75
(thermally resistant) species/strain from the environment – and symbiont shuffling – the 76
modification of the relative abundance of the inner Symbiodiniaceae strains within host – 77
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constitute two alternative rapid responses for corals to temporarily cope with heat waves 19,20. 78
Finally, while other partners involved within the coral holobiont such as bacteria, fungi, viruses 79
and protists, certainly display higher adaptive capacity than corals in particular due to their short 80
generation time, their role in fostering adaptive response to heat stress at the holobiont scale 81
still remain to be demonstrated 5,13,21. 82
Most of our knowledge on the mechanisms underlying the adaptive response of coral 83
colonies to global changes relies on empirical studies based on controlled experiments 84
conducted either in laboratory or in the field, over extremely short-term evolutionary time 85
scales. These approaches are crucial to dissect the relative importance of specific molecular 86
mechanisms in action to foster coral responses. They have dramatically changed our vision on 87
the short-term adaptive capacity of corals 12,13. However, and complementary to these 88
approaches, we need a more general vision of coral holobiont evolution at broader timescales 89
to assess their evolutionary dynamics in response to the recent fast evolving environmental 90
changes. In this respect, ancient DNA (aDNA) based approaches are promising 22. These 91
approaches generally rely on DNA extracted from archaeological or paleontological remains or 92
from museum samples. For instance, museum samples of 8 octocoral species originally 93
collected from successive epochs revealed that mutualism between several coral species and 94
their associated Symbiodiniaceae remained stable overtime with no major changes in the last 95
two centuries despite major anthropogenic global change 23. In a more general context of 96
biodiversity, aDNA was also applied to reconstruct the community assemblages of reef 97
ecosystems from sediment cores 24,25. Surprisingly however, no attempts were made to extract 98
aDNA directly from cores excavated from a living massive coral colony that chronicles decades 99
and up to centuries, of its lifetime. Such an approach is particularly promising because it could 100
allow accessing the DNA material from individual holobiontic colonies over time and thus 101
reconstructing their intrinsic eco-evolutionary history. 102
We here provide the first proof of concept of the use of aDNA from a coral core, 103
hereafter called coraDNA (referring to the recent sedaDNA approach developed to study DNA 104
from sedimentary cores), to reconstruct past Symbiodiniaceae communities associated with a 105
living colony of Porites lobata over the last century. We discuss the benefit of such approach 106
to unravel the eco-evolutionary dynamics of coral holobiont and the current technical 107
Limitations
that will need to be bypassed to have access to DNA from the cnidarian compartment 108
and hence reconstruct the full eco-evolutionary trajectories of coral holobionts over time. 109
110
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Material and methods
111
112
Core sampling 113
Porites lobata is a massive reef-building scleractinian coral ubiquitous over the Tropical Pacific 114
Ocean. Colonies can be extremely long-lived (up to several centuries) and their growth strongly 115
depend on the environmental conditions in which they grow, especially seawater temperature 116
26. These characteristics make this species particularly suitable in the context of this study since 117
it makes it possible to obtain long cores and the marked seasonal successions of growth allow 118
the collection of core matrix at the year scale from which DNA can be extracted. A coral-matrix 119
core was collected from a 2.5-m high colony of Porites lobata at 10-m depth within the 120
Southern Lagoon of New Caledonia (22°17,146 et 166°11,004) the 17 th of December 2018 121
(Figure 1.A.). The excavated 8-cm diameter and ~ 80-cm long core was immediately stored in 122
dry ice and transferred under freezing conditions to the Institute de Recherche pour le 123
Developpement (IRD) in Nouméa, prior being sent in dry ice to the IHPE laboratory in 124
Perpignan where it was stored at -80°C until subsequent analyses. Thus, the core has been kept 125
at -80°C from its initial excavation until the sampling of coraDNA. 126
127
Figure 1: Details on the coral core of the studied Porites lobata colony. Pictures of its excavation in 128
December 2018 from the living colony in New Caledonia are provided in (A). In (B), the coraDNA 129
samples that were extracted along the core are represented from the older sample (S01) to the 130
contemporaneous living coral (control). In (C) Pictures of the interventional sampling using a CT scan 131
of the four coraDNA samples corresponding to successions before (E01) and after (E02) the 1997-1998 132
ENSO event; and before (E03) and after (E04) the anormal hot winter in 2010. Yellow arrows in the 133
last panel in (C) point toward the hole left by the drilling bit after the sampling of the E04 coraDNA 134
sample. 135
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Dating successions and sampling ancient DNA from the coral core 136
The aging of the coral core was determined based on the counting of density bands as described 137
in Wu et al. 27. Annual skeletal density bands were observed using a CT scan at the imagery 138
service of the public Hospital of Perpignan (France). The observed density bands result from 139
variation in colony growth rate during the winter (slow) and during the summer (rapid) that lead 140
to a more or less dense aragonite skeleton along the year 26. According to this pattern, one year 141
was reconstructed by summing a clear (summer) and dark (winter) density bands 27. Based on 142
the reconstructed chronology of the sampled coral colony, a total of 23 samples were collected 143
along the coral core (Figure 1.B and C). Briefly, each sampling location along the core was first 144
rapidly washed using a 10% NaClO solution and ~ 3 mm of the external layer was removed 145
from the core surface using a sterile disposable scalpel to avoid possible DNA contamination 146
with contemporaneous genomic material. Once the surface of the core was decontaminated, an 147
electric driller with an individualized sterile 2-mm diameter drill bit was used to extract core 148
powder along a ~ 1.5 – 2 cm depth drilling hole perpendicular to the surface of the core. The 149
bits containing the powder was immediately transferred and rinsed in a 2 ml Eppendorf 150
(DNA/RNA and DNase/RNase free tube) containing 1 ml of Tissue Lysis buffer ATL from the 151
QIAamp DNA Micro Kit (Qiagen) and stored at 4°C until the DNA extraction process (i.e. at 152
most 24 h later). 153
Sampling along the core was achieved following two strategies. The first strategy 154
consisted in systematically sampling every 5 cm along the core without accurate dating. 155
According to the retraced chronology and to the thickness of the observed density bands, such 156
strategy roughly corresponded to a sample collected every 8 to 10 years back in time over the 157
colony history from December 2018 (collection date) until the 1870’s. A total of 17 coraDNA 158
samples were extracted following this design including one sample from the top of the coral 159
core (as positive control) which corresponds to the living colony at the time of the core sampling 160
(Sample S01 to S16 and control in Figure 1.B.). This strategy was used to specifically test our 161
ability to detect and obtain processable coraDNA samples over large timescales. Moreover, 162
two duplicates were sampled for two random samples (S04 and S08; Figure 1.B.). These 163
duplicates consisted in independent coraDNA samples obtained from the same section along 164
the core and using two independent sterile drill bits. 165
The second strategy aimed at studying the dynamics of the algae endosymbiotic 166
communities associated with coral colonies during well documented past extreme climatic 167
events. We targeted two well-known climatic anomalies that were easily observable along the 168
core in 2010 (abnormally hot winter) and in 1997-1998 which corresponded to a severe ENSO 169
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event 27. Two samples were collected, one prior and the other after each of these two climatic 170
events (N = 4; Figure 1.C.). For this purpose, and to accurately sample the targeted coral 171
successions, the drilling procedure was achieved under interventional CT 3D scan at the 172
imagery services from the public Hospital of Perpignan. The coordinates of the targeted 173
successions were first retrieved, and the drilling sampling was achieved under interventional 174
scan to ensure that the same succession was sampled within the core during the sampling 175
process (Figure 1.C.). The precautions previously described were taken to avoid contamination 176
(treatment with bleached plus abrasion of the ~3 mm of the external layer of the core and a 177
unique sterile drill bit per sample). 178
Additionally to the overall 23 samples collected along the core, a negative control was 179
prepared at the time of the sampling collection to check for possible contaminations over the 180
whole process from DNA sampling to library preparation. This negative control was obtained 181
following the same protocol as described above except that the drill bit did not touch the core 182
prior to the rinsing step into the Tissue Lysis buffer ATL. 183
184
DNA extraction 185
The overall DNA extraction process and DNA amplification steps were performed at the 186
degraded DNA platform (Institut des Sciences de l’Evolution de Montpellier, France; 187
http://club.quomodo.com/plateforme-adn-degrade) offering facilities dedicated to the study of 188
ancient DNA. DNA extractions were performed using the QIAamp DNA Micro Kit (Qiagen) 189
following the “ Purification of genomic DNA from bones ” protocol. Briefly, 25 µl of Qiagen 190
Proteinase K were added to each sample. Samples were then incubated at 56°C with shaking at 191
1200 rpm overnight. The day after, 1 ml of AL buffer was added and samples were incubated 192
at 70°C during 10 minutes to inactivate enzymes. After a centrifugation step at full speed during 193
one minute, the supernatant was transferred to a QIAamp MinElute column. Once the DNA 194
attached on the column membrane (centrifugation step at 8000 rpm for 1 minute), the membrane 195
was successively washed using 600 µl of the AW1 and the AW2 buffer. After these washing 196
steps, the membrane was dried by centrifugation during 3 minutes at full speed. The DNA was 197
eluted using 30 µL of sterile water. The eluted DNA samples were then stored at -20°C until 198
subsequent molecular processes. The quality of DNA extracts wase assessed on a Bioanalyzer 199
High Sensitivity DNA kit (Agilent, USA) and DNA was quantified using a Qubit fluorometric 200
quantification with the ds DNA High Sensitivity assay kit (Thermo Fisher Scientific, USA). 201
202
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Library preparation and sequencing 203
Each DNA sample was used as initial template for amplifying a portion of the ITS2 gene using 204
a set of 4 primers derived from the literature 28,29 with Illumina adapters and spacers (Table 1). 205
206
ITS2-MiSeqNN-F:
TCGTCGGCAGCGTCAGATGTGTATAAGAGACAGNNGTGAATTGCAGAACTCCGTG
ITS2-MiSeqNN-R:
GTCTCGTGGGCTCGGAGATGTGTATAAGAGACAGNNCCTCCGCTTACTTATATGCTT
ITS2-MiSeqNNN-F:
TCGTCGGCAGCGTCAGATGTGTATAAGAGACAGNNNGTGAATTGCAGAACTCCGTG
ITS2-MiSeqNNN-R:
GTCTCGTGGGCTCGGAGATGTGTATAAGAGACAGNNNCCTCCGCTTACTTATATGCTT
Table 1: Sequence of the 4 primers (including adapters and spacers) used to amplify a ~ 350 207
bp fragment of the ITS2 gene 208
209
Concomitantly, the extraction negative control and a PCR negative control (consisting in 210
distilled water) were used in the same PCR reaction to control for potential contamination 211
during the overall process. PCRs were performed in 50 µL containing 5µL of Buffer 10X PCR 212
Gold (1X), 5 µL of MgCL 2 (25 mM), 1 µL of each dNTPs (200 µM), 1.35 µL of primer mix 213
(0.25 µM), 0.25 µL of Taq Polymerase (1.25 units), 4 µL of DNA template and 35.4 µL of 214
distilled sterile water. Amplification was performed using the following PCR conditions: an 215
initial denaturation step at 95°C during 7 minutes followed by 35 cycles each of which 216
constituted of a denaturation step at 95°C during 15 sec, an annealing step at 57°C during 30 217
sec and an elongation step at 72°C during 30 sec. After these 35 cycles, a final elongation step 218
at 72°C during 7 minutes was applied. The amplification was checked by migrating 5 µL of 219
each PCR reaction on a 2% agarose gel stained with ethidium bromide and visualized under 220
UVs. Expected size of the amplicon is around 350 bp. 221
Indexed libraries were generated using the standard Illumina two-step PCR protocol using Q5 222
high fidelity DNA polymerase (New England Biolabs). Paired-end sequencing with a 2x250 bp 223
read length was performed at the Bio-Environment platform (University of Perpignan Via 224
Domitia Perpignan, France) on a MiSeq system (Illumina) using v2 chemistry according to the 225
manufacturer’s protocol. Sequencing data are available for download on SRA under the 226
bioproject number ### 227
228
Data processing 229
The sequence datasets were uploaded to the Galaxy web platform 30 and processed using the 230
Finding Rapidly OTUs with Galaxy Solution (FROGS) pipeline at the GenoToul platform 231
(Toulouse, France) 31. The first pre-processing step of this pipeline consisted in demultiplexing, 232
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dereplicating and cleaning all reads. Given the theoretical expected amplicon size (i.e., ~ 350 233
bp) and after a quick overview of the overall amplicon lengths, we kept all sequences which 234
sizes ranged from 150 to 490 pb. These filtered sequences were then clustered using the 235
SWARM algorithm using an aggregation distance set at 1. This iterative clustering approach 236
uses amplicons’ homology, structure and abundance hence limiting potential biases generated 237
by other approaches such as de novo clustering methods (i.e., input order dependencies and 238
arbitrary clustering) (Mahe et al., 2014). Clusters were then cleaned to remove potential 239
chimeras, singletons and under-represented clusters (i.e. <50 sequences) using VSEARCH 240
(Rognes et al., 2016). 241
Each OTU was identified based on a nucleotide megablast using the online standard 242
database (nt/nr) available from NCBI. To more precisely identify OTUs that were affiliated to 243
the Symbiodiniaceae genus Cladocopium (clade C) based on the results from Blast, we next 244
computed pairwise genetic distance between each OTU seed sequence and a subset of 245
sequences from different Cladocopium strains available from LaJeunesse et al. 32. Pairwise 246
genetic distances were computed using the ‘K80’ evolutionary model as implemented in the 247
ape package V5.0 in R 33. 248
249
Results
250
251
Dating back coral successions along the core 252
The obtained coral-skeleton core followed the colony’s growth axis on more than 2/3 of its 253
length (see Figure 1.C.; middle panel for illustration). We were hence capable to accurately date 254
back the growth successions over the last seven decades, i.e., back to 1950. Density bands along 255
the oldest part of the coral core partly deviated from the central vertical axis preventing our 256
capability to date back accurately the oldest successions. Annual growth bands were 257
approximately 5-6 mm thick and generally homogenous along the core. According to this 258
measure, we estimated that the oldest coraDNA sample collected from the core (S01; Figure 259
1.B.) roughly correspond to coral holobiont that lived in the 1870’s. 260
261
Amplicon sequencing from coraDNA samples, sequence affiliation and identification of 262
endosymbiotic algae communities 263
Because of low DNA concentrations, DNA quality and quantity could not be assessed from all 264
samples except the positive control. PCR amplicons of expected size for ITS2 Symbiodiniaceae 265
marker were however obtained from all samples. After sequencing and filtration steps, 266
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sequences were validated from 19 out of the 23 initial coraDNA samples including the positive 267
control (Table 2). The final number of filtered sequences obtained from these 19 coraDNA 268
samples ranged from 1476 (sample S12) to 76403 (sample S13) (Table 2). Four coraDNA 269
samples displayed negligible numbers of sequences (from 9 to 33) and were then excluded for 270
further analyses. Similarly, extraction and PCR negative controls exhibited negligible numbers 271
of sequences (8 and 17, respectively) with an expected size of 300 bp (190 – 450 bp; Table 1), 272
which indicates negligible cross-contaminations during all the process from sampling, 273
extraction to sequencing. 274
275
Sample %
kept
Paired-end
assembled
(%)
With 5'
primer
(%)
With 3'
primer
(%)
With
expected
length (%)
Without
Ns (%)
Nseq
OTU > 50 seq
Samples kept in the analyses
E01 97.29 77.44 77.38 76.15 75.34 75.34 73241
E02 97.12 57.91 57.87 56.68 56.24 56.24 54571
E03 96.37 73.18 73.13 71.18 70.52 70.52 68484
E04 91.60 48.53 48.52 47.35 44.46 44.46 43454
S01 87.58 75.61 75.58 74.20 66.21 66.21 64448
S04 75.10 59.92 59.90 59.09 45.00 45.00 44203
S04" 85.18 15.65 15.62 15.30 13.33 13.33 12993
S05 4.44 89.98 89.96 89.83 3.99 3.99 3928
S06 67.49 65.52 65.50 63.76 44.22 44.22 42583
S08 96.01 77.93 77.90 75.11 74.82 74.82 71366
S08" 97.56 46.68 46.63 45.66 45.54 45.54 44501
S09 63.04 70.01 69.98 68.80 44.13 44.13 43147
S10 8.32 48.20 48.19 48.09 4.012 4.012 3884
S11 85.80 54.13 54.11 53.04 46.44 46.44 45236
S12 6.98 21.95 21.94 21.90 1.53 1.53 1476
S13 96.83 80.93 80.90 78.79 78.36 78.36 76403
S14 93.24 74.74 74.69 73.05 69.69 69.69 68031
S15 56.67 88.20 88.18 86.22 49.98 49.98 48388
Control 28.60 8.73 8.73 8.66 2.50 2.50 2454
Samples removed from the analyses
S02 0.02 152.242 152.221 152.075 33 33 0
S03 0.02 58.41 58.406 58.344 9 9 0
S07 0.02 76.544 76.531 76.462 15 15 0
S16 0.02 52.119 52.104 52.046 11 11 0
Negative controls
Extraction 0.02 45.646 45.644 45.597 8 8 0
PCR 0.15 11.01 11.007 10.998 17 17 0
276
Table 2: Details on the obtained and conserved sequences from each coraDNA sample. 277
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The sequences clustered into 13 OTUs. Nine of these OTUS were affiliated to 278
Symbiodiniaceae and all of which were assigned to the Cladocopium clade. Based on the 279
genetic distances computed between each of these 9 clusters and ITS2 sequences from 280
LaJeunesse et al. 32, all OTUs were more specifically affiliated to the ITS2-C15 type (computed 281
distances ranged from 0 to 0.044; Table S1). Among the 4 other non-specific OTUs, one was 282
affiliated to Azadinium spinosum (Dinophycae; OTU_7; Query cover = 100%, E-Value = 6e -283
156; Per. Ident. = 98.1%); one to P. lobata (the coral host species; OTU_11; Query cover = 284
100%, E-Value = 8e-175; Per. Ident. = 100%), and the two others were not successfully affiliated 285
with any identified sequence available from the NCBI nr database (OTU_12 and OTU_13). 286
Sequences of Azadinium spinosum (OTU_7) were amplified only in the S08 and its duplicate 287
S08” coraDNA samples. Amplified sequences of P. lobata (OTU_11) were found in the S01, 288
S08, E02 and E03 coraDNA samples although at low abundance (Figure 2; Table S2). Finally, 289
OTUs that were not affiliated with any organism documented in the NCBI database (OTU_12 290
and OTU_13) were present in samples S08 and/or S08” again with low read numbers (Figure 291
2). 292
293
294
Figure 2: Proportion of sequences attributed to each of the 13 clusters among the 19 positive coraDNA 295
samples A. obtained from the systematic sampling (i.e. every 5 cm along the coral core) and B. collected 296
under CT SCAN corresponding to successions before (E01) and after (E02) the 1997-1998 ENSO event; 297
and before (E03) and after (E04) the anormal hot winter in 2010. 298
299
Distribution of Symbiodinium OTUs over the coraDNA samples 300
The total number of OTUs obtained from each coraDNA sample varied from 1 to 10. Among 301
the 9 Symbiodiniaceae OTUs identified, 1 OTU (OTU_1, Figure 2) was clearly predominant 302
representing 92% of the generated sequences overall samples (from 80.88 % in S15 to 100 % 303
in S12). Only OTU_1 is ubiquitous among all coraDNA samples. OTU_9 and OTU_10 could 304
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also be reasonably considered as ubiquitous since they have been detected in all except the S12 305
and the positive control coraDNA samples. However, these two samples were the one harboring 306
the lowest sequence coverage which may explain this absence (Table 1). 307
The number of OTUs per sample is marginally correlated to the total number of 308
sequences obtained per sample (Spearman correlation, rho = 0.53; p-value = 0.04) but is not 309
correlated to the age of the coraDNA sample (using the position order at which the coraDNA 310
was sampled along the core as a proxy; rho = 0.148; p-value = 0.60). 311
312
Discussion
313
314
Unlocking the access to past coral communities 315
According to our results, ancient DNA from a coral core ( coraDNA) excavated from living 316
Porites lobata colonies can be obtained and used for metabarcoding approaches to reconstruct 317
the Symbiodiniaceae endosymbiotic communities that have been successively associated to the 318
colonies over a century. This paves the way for unprecedented time-series studies to document 319
the eco-evolutionary dynamics ofthe coral/Symbiodiniaceae mutualistic interaction to most 320
massive coral species. 321
Nine of the 13 OTUs detected in this study belong to the Symbiodiniaceae and all were 322
affiliated to the ITS2-C15 type. Since pairwise genetic distances computed between each of 323
these OTUs were relatively low, it is likely that the observed diversity among these strains result 324
from intragenomic variation at the ITS2 marker as previously highlighted 34,35. Importantly 325
however, the possible resulting overestimation of the diversity in the Symbiodiniaceae 326
community documented here cannot be related to possible post-mortem DNA modifications 327
commonly observed in ancient DNA samples 36. Indeed, all but one OTU were detected in the 328
living part of the coral core (positive control) which means that the nature and state of the 329
coraDNA samples does not seem to artificially inflate diversity of the Symbiodiniaceae 330
community. 331
Moreover, among the 13 identified OTUs, 1 was attributed to P. lobata. This P. lobata 332
OTU was detected, although at low abundance, in 4 coraDNA samples that do not have obvious 333
commonalities (e.g. spatial location along the core) but a high number of sequences. The 334
detection of the coral host species using the present ITS2 metabarcoding confirms that host 335
DNA may also be extracted and amplified to some extent. This result makes it possible to 336
consider the exploitation of coraDNA samples to trace the eco-evolutionary dynamics of the 337
genome and/or epigenome of the host coral species P. lobata at the colony scale. 338
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Among the OTUs not affiliated to Symbiodiniaceae or to the cnidarian, we unexpectedly 339
detected A. spinosum among two coraDNA duplicates collected from the same location along 340
the core. These duplicates correspond to coral holobionts that lived in the 1940’s – 1950’s. 341
Azadinium spinosum is a photosynthetic dinoflagellate that was first described in the late 2000’s 342
and since then, has been reported on the coasts of Northern Europe 37, South and Central 343
America 38,39 and very recently in Asian pacific 40. While we found no direct evidence of its 344
occurrence in New Caledonia or the Southern Pacific exists in the literature, Azadinium spp. 345
was recently observed in French Polynesia under a scanning electron microscope (Mirielle 346
Chanin; pers. comm). Importantly A. spinosum is one of the primary producer of azaspiracid 347
toxins causing important health issues to several animals, mainly vertebrates including humans, 348
through toxin bioaccumulation 41. In this context, azaspiracid-2 (AZA2) toxins were recently 349
detected in New Caledonia based on a SPATT (Solid Phase Adsorption Toxin Tracking) 350
approach, hence indirectly indicating that Azadinium spp. can be present locally at least 351
temporary 42. So far, no interactions were described between P. lobata or any other coral species 352
and A. spinosum. We here hypothesize that A. spinosum could have been accidentally captured 353
by coral hosts during feeding. Accordingly, the detection of A. spinosum at only one time period 354
(although detected in two coraDNA duplicate samples from this time period) could coincide 355
with a A. spinosum bloom episode as previously described at some localities 38. Thus, 356
additionally to DNA from Symbiodiniaceae and their coral hosts, our results suggest that we 357
can also detect the punctual presence back in time of other organisms (most likely present in 358
high abundance) in the environment and that may have been captured by corals. However, 359
(short) specific molecular markers tailored to the targeted organisms would be necessary, as the 360
marker used in this study was not initially designed for such purposes. 361
From a technical point of view, it is important to note that the number of OTUs detected 362
in the coraDNA samples was associated to sequencing output but not to the age of the coraDNA 363
samples (estimated from the position of the coraDNA samples along the core). This suggests 364
that a low number of sequences but probably not the age of the coraDNA could lead to an under 365
represented vision of the studied past Symbiodiniaceae communities (see also rarefaction 366
curves in Supplementary Figure SF1). This is clearly illustrated by the S12 coraDNA fairly 367
recent sample, for which we obtained the smallest number of sequences and that harbors only 368
one OTU (OTU_1; Figure 2) which is also predominant in all coraDNA samples (representing 369
80.9 % to 100 % percent of the overall filtered sequences). Conversely, we detected up to 5 370
different clusters in the oldest coraDNA sample (S01) including 4 OTUs affiliated to 371
Cladocopium and one affiliated to P. lobata . We thus advise to sequence libraries from 372
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coraDNA samples with a high coverage to avoid possible false negatives or to use a rarefaction 373
approach to characterize the optimal sequencing depth. 374
375
Dynamics of Symbiodiniaceae at large temporal scale 376
In addition to breaking down a technical barrier, this study also traces back the dynamics of the 377
Symbiodiniaceae community associated with P. lobata over time at the colony scale. More 378
particularly, the Symbiodiniaceae community associated with this P. lobata colony is composed 379
of 1 OTU (OTU1) assigned to the ITS2-C15-type. This occurrence is largely predominant since 380
the earliest part of the coral core; that was estimated to date back to the 1870’s approximately. 381
Two other Symbiodiniaceae OTUs were found to be (nearly) ubiquitous although at very low 382
proportion even in the contemporaneous living coral (OTU9 and OTU10). These three OTUs 383
are thus likely to be in tight association with the coral host and probably part of the core 384
Symbiodiniaceae community of the P. lobata colony. This is in line with previous studies that 385
have documented a similar pattern in the symbiotic community associated with natural colonies 386
of P. lobata where the Symbiodiniaceae C15 strain was highly predominant 43. No other clear 387
pattern was observed in terms of community changes over time except for the most abundant 388
non-ubiquitous OTUs such as OTU2, OTU4 and OTU5 which are generally absent in the oldest 389
coraDNA samples and appear sporadically only from the S06 – S08 samples (i.e. since the 390
1920’s) and upward along the core. Two hypotheses could explain this temporal fluctuation of 391
these OTUs. First, the abundance of these OTUs in the environment display important temporal 392
fluctuations and the studied P. lobata colony adjusted its associated Symbiodiniaceae 393
community according to the most prevalent OTU present in the environment. Alternatively, the 394
abundance of the different Symbiodiniaceae strains in the environment is relatively stable in 395
time and the P. lobata colony adjusted its Symbiodiniaceae community according to its 396
interaction’ preference, physiological state and/or to the prevailing environment 44. Importantly 397
however, and considering that each OTU is a singular genetic entity, we lack information 398
regarding the functional and physiological consequence of the association between these 399
different Cladocopium strains and P. lobata to support one of these hypotheses. The use of 400
more resolutive genetic markers could make it possible to better distinguish between different 401
strains from the C15 clade potentially associated with P. lobata colonies(ref). Importantly 402
however, and because ancient DNA is more prone to degradation, we could be constrained by 403
the amplicon size. We would thus be more in favor of combining multiple small barcodes rather 404
than using a larger marker. 405
406
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Dynamics of Symbiodiniaceae associated with extreme climatic events 407
No major changes in the Symbiodiniaceae community were observed after the targeted 408
severe ENSO event that occurred in 1997-1998 and which led to a decrease in growth visible 409
on the core, compared to that observed in the coraDNA sampled before this event. Two 410
hypotheses might explain this result. First, the targeted ENSO event did not stress the colony 411
enough (e.g. no thermal bleaching occurred) to temporally modify the associated 412
Symbiodiniaceae community. In this regard, and although not comparable to a bleaching event, 413
stability of the Symbiodiniaceae community associated with P. lobata during extreme storm 414
events was previously reported on Kiritimati Island in the central equatorial Pacific Ocean 34. 415
More generally, the association between P. lobata and their symbionts are generally 416
acknowledged to be stable over time even when facing environmental stress 34,43. Alternatively, 417
and despite all precautions, we might have missed the succession corresponding to the past 418
coral colony recovering from the ENSO event during the coraDNA sampling. Clearly, more 419
coraDNA replicates could have allowed teasing apart these two hypotheses. However, because 420
of the difficulty of sampling only a single succession of coral growth band, and the limited 421
amount of material that can be obtained, replicating coraDNA samples is particularly tedious. 422
One solution could be to use a drill to excavate larger-diameter cores from natural colonies. 423
The most important pattern observed in this study however, concerns the apparent loss of the 424
Symbiodiniaceae community diversity observed post 2010 abnormal warm winter period 27. In 425
fact, the E04 coraDNA sample harbor a very different symbiotic community compared to the 426
3 others recent coraDNA samples and to the control. Only 3 Symbiodiniaceae OTUs were 427
detected in this coraDNA sample while 8 to 10 were found in the other 3 recent samples and in 428
the contemporaneous control sample. Such low diversity found in E04 cannot be explained by 429
a lower sequencing coverage (Supplementary Figure SF1). One hypothesis could be that this 430
pattern reflects a temporary and partial loss of Symbiodiniaceae diversity by the coral colony 431
during this abnormally warm and stable period over the year. This is in line with a pattern of 432
decreased in symbiotic algae diversity observed in less variable environments in several coral 433
species 45. Moreover, the remaining 3 OTUs detected in E04 do not correspond to the most 434
abundant ones, which suggest that this loss in Symbiodinium OTUs is likely to be non-random. 435
These 3 OTUs are those that are ubiquitous to all coraDNA samples. This result hence supports 436
the hypothesis that these 3 OTUs are part of the core Symbiodiniaceae community of the P. 437
lobata colony irrespective to their (sometimes low) relative abundance among the colony 15. 438
439
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16
Conclusion
and perspectives 440
441
Together our results highlight the fact that ancient DNA can be extracted from cores excavated 442
from stony corals, the so-called coraDNA, dating back to at least one century. Moreover, among 443
the DNA material extracted from the core, we detected DNA from the coral host species, the 444
dinoflagellate symbionts and a free-living environmental dinoflagellate. This result paves the 445
way for studying the temporal evolutionary dynamics of coral holobionts at the colony scale. 446
Combined with some geochemical analyses on the same samples collected along the coral core, 447
this approach could provide new insights on the mechanisms underlying the adaptive responses 448
of corals to several past stress events including temperature changes, pH and/or chemicals such 449
as heavy metals. 450
451
452
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17
Supplementary material 453
Supplementary table S1: Pairwise genetic distances computed between each pair of the 454
sequences from the OTUs obtained in this study or from previously identified Symbiodinium 455
strains available from LaJeunesse et al. (2003). 456
OTU__1 OTU__2 OTU__3 OTU__4 OTU__5 OTU__6 OTU__8 OTU__9 OTU__10
OTU__1 0 0,014 0 0,007 0,007 0 0,044 0,022 0,022
OTU__2 0,014 0 0,014 0,022 0,022 0,014 0,059 0,036 0,036
OTU__3 0 0,014 0 0,007 0,007 0 0,044 0,022 0,022
OTU__4 0,007 0,022 0,007 0 0,014 0,007 0,051 0,029 0,029
OTU__5 0,007 0,022 0,007 0,014 0 0,007 0,051 0,029 0,029
OTU__6 0 0,014 0 0,007 0,007 0 0,044 0,022 0,022
OTU__8 0,044 0,059 0,044 0,051 0,051 0,044 0 0,067 0,067
OTU__9 0,022 0,036 0,022 0,029 0,029 0,022 0,067 0 0,029
OTU__10 0,022 0,036 0,022 0,029 0,029 0,022 0,067 0,029 0
AY239363.1_Symb_C1b 0,029 0,044 0,029 0,037 0,037 0,029 0,075 0,051 0,051
AY239364.1_Symb_C1c 0,029 0,044 0,029 0,037 0,037 0,029 0,075 0,051 0,051
AY239365.1_Symb_C3h 0,022 0,036 0,022 0,029 0,029 0,022 0,067 0,044 0,044
AY239366.1_Symb_C3j 0,022 0,036 0,022 0,029 0,029 0,022 0,067 0,044 0,044
AY239367.1_Symb_C8 0,037 0,052 0,037 0,044 0,044 0,037 0,083 0,059 0,059
AY239368.1_Symb_C8a 0,044 0,059 0,044 0,052 0,052 0,044 0,091 0,067 0,067
AY239369.1_Symb_C15 0 0,014 0 0,007 0,007 0 0,044 0,022 0,022
AY239370.1_Symb_C17 0,022 0,036 0,022 0,029 0,029 0,022 0,067 0,044 0,044
AY239372.1_Symb_C21 0,022 0,036 0,022 0,029 0,029 0,022 0,067 0,044 0,044
AY239378.1_Symb_C26 0,022 0,036 0,022 0,029 0,029 0,022 0,067 0,044 0,044
AY258488.1_Symb_C1d 0,036 0,051 0,036 0,044 0,044 0,036 0,082 0,059 0,059
AY258496.1_Symb_C31 0,029 0,044 0,029 0,037 0,037 0,029 0,075 0,051 0,051
AY258501.1_Symb_C35a 0,022 0,036 0,022 0,029 0,029 0,022 0,067 0,044 0,044
AY765398.1_Symb_C1m 0,037 0,052 0,037 0,044 0,044 0,037 0,083 0,059 0,059
AY765400.2_Symb_C33 0,044 0,059 0,044 0,052 0,052 0,044 0,091 0,067 0,067
AY765401.1_Symb_C35 0,036 0,051 0,036 0,044 0,044 0,036 0,082 0,059 0,059
AY765402.1_Symb_C42 0,029 0,044 0,029 0,037 0,037 0,029 0,075 0,051 0,051
AY765413.1_Symb_C78 0,036 0,051 0,036 0,044 0,044 0,036 0,082 0,059 0,059
AY765414.2_Symb_C79 0,044 0,059 0,044 0,052 0,052 0,044 0,091 0,067 0,067
AF333518.1_Symb_C4 0,014 0,029 0,014 0,022 0,022 0,014 0,059 0,036 0,036
AY589730.1_Symb_C1g 0,029 0,044 0,029 0,037 0,037 0,029 0,075 0,051 0,051
AY589734.1_Symb_C3f 0,029 0,044 0,029 0,036 0,036 0,029 0,075 0,051 0,051
AY589746.1_Symb_C31a 0,029 0,044 0,029 0,037 0,037 0,029 0,075 0,051 0,051
AY589752.1_Symb_C47 0,029 0,044 0,029 0,037 0,037 0,029 0,075 0,051 0,051
AY589771.1_Symb_C66 0,029 0,044 0,029 0,037 0,037 0,029 0,075 0,051 0,051
AY258473.1_Symb_C1h 0,029 0,044 0,029 0,037 0,037 0,029 0,075 0,051 0,051
AY258475.1_Symb_C8b 0,037 0,052 0,037 0,044 0,044 0,037 0,083 0,059 0,059
AY258481.1_Symb_C37 0,052 0,067 0,052 0,06 0,06 0,052 0,099 0,075 0,075
AY258485.1_Symb_C40 0,036 0,051 0,036 0,044 0,044 0,036 0,082 0,059 0,059
AY258487.1_Symb_C42 0,036 0,051 0,036 0,044 0,044 0,036 0,082 0,059 0,059
AF499789.1_Symb_C3 0,022 0,036 0,022 0,029 0,029 0,022 0,067 0,044 0,044
AF499794.1_Symb_C4 0,029 0,044 0,029 0,037 0,037 0,029 0,075 0,051 0,051
AF499797.1_Symb_C7 0,022 0,036 0,022 0,029 0,029 0,022 0,067 0,044 0,044
AF499801.1_Symb_C12 0,022 0,036 0,022 0,029 0,029 0,022 0,067 0,044 0,044
JQ003816.1_Symb_D 0,827 0,82 0,827 0,856 0,827 0,827 0,856 0,82 0,861
457
458
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18
Supplementary table S2: Raw data of the sequence abundance of each OTU identified in this 459
study over all coraDNA samples. 460
OTU_
id
Nseq
total S01 S04 S04" S05 S06 S08 S08" S09 S10 S11 S12 S13 S14 S15 E01
OTU_1 748108 55576 44178 12986 3924 39658 62753 43406 37033 3493 41942 1476 67729 68005 39137 67107
OTU_2 32296 0 1 0 0 2912 2786 340 6099 0 2030 0 4994 3 9241 1460
OTU_3 23547 8773 0 0 0 0 3858 172 0 0 694 0 0 0 0 4078
OTU_4 6503 0 0 0 0 0 1574 84 0 0 553 0 3653 0 0 237
OTU_5 1193 0 0 0 0 0 0 333 0 386 0 0 0 0 0 225
OTU_6 264 0 0 0 0 0 0 0 0 0 0 0 0 0 0 123
OTU_7 230 0 0 0 0 0 211 19 0 0 0 0 0 0 0 0
OTU_8 141 0 0 0 0 0 113 0 0 0 0 0 0 0 0 0
OTU_9 139 8 11 5 1 6 10 1 9 2 9 0 15 15 6 7
OTU_10 114 10 13 2 3 7 8 8 6 3 8 0 12 8 4 4
OTU_11 92 81 0 0 0 0 4 0 0 0 0 0 0 0 0 0
OTU_12 94 0 0 0 0 0 0 94 0 0 0 0 0 0 0 0
OTU_13 93 0 0 0 0 0 49 44 0 0 0 0 0 0 0 0
461
462
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SF1: Rarefaction curves obtained for each of the 19 samples. 463
464
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Declarations 465
Availability of data and materials 466
Raw sequences from the metabarcoding approach are available on GenBank under the SRA 467
project id. PRJNA1086717. 468
Competing interests 469
The authors declare that they have no competing interests. 470
Funding 471
This study was fully funded by an internal grant from the IHPE laboratory in the context of 472
the challenge ‘Holobiont Dynamics and Fitness’. The drilling of the coral was funded through 473
the South West Pacific ‘chantier’ of the UMR LOCEAN, while sea access, core drilling, 474
preservation and transport, was allowed through the personal and facilities of the IRD 475
Research Cenrtre of New Caledonia. 476
Authors' contributions 477
O.R and J.V.D equally contributed to the conception and design of the work. The coral core 478
was sampled and sent to the IHPE laboratory by D.D and J.B with the help of G.I for 479
administrative aspects. D.D. and T.G. dated the coral core successions. T.G, M.S, O.R, M.B.Z 480
and J.V.D acquired the ancient DNA extracts with the help of C.T at the degraded DNA 481
platform (Montpellier). O.R, J.F, M.S and J.V.D processed the DNA extracts. O.R., T.G and 482
E.T. analyzed the metabarcoding datasets. O.R., T.G. and J.V.D interpreted the results. O.R 483
have drafted the manuscript and J.V.D, D.D and E.T. substantively revised it. All authors 484
approved the submitted version. 485
Acknowledgments 486
O.R and J.V.D would like to thank Diane Merceron for her kind help in getting the coral core 487
travelling from New Caledonia to Perpignan. We thank the personal (divers, boat pilot, etc,..) 488
of the IRD centre of New Caledonia who allowed for coral core extraction and transportation. 489
We thank the Bio-Environment platform (University of Perpignan Via Domitia) for the 490
sequencing process, Dr. Cristian Chaparro and the IHPE bioinformatics service and the 491
GenoToul bioinformatics platform, Toulouse Occitanie (Bioinfo Genotoul, doi: 492
10.15454/1.5572369328961167E12) for providing computing resources (Galaxy instance; 493
http://sigenae-workbench.toulouse.inra.fr). Finally, we would like to warmly thanks all staff 494
from the imagery service at the public Hospital of Perpignan for their kind welcome and help 495
during CT scan including Stephane Belfio, Marine Maurel and Cécilia Colomer. This study is 496
set within the framework of the “Laboratoire d’Excellence (LabEx)” TULIP (ANR-10-LABX-497
41) and with the technical support of the LabEx CeMEB (ANR-10-LABX-04-01). 498
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21
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