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A fungal community-based high throughput approach to determine ecological bio-indicators of Moroccan cork oak decline

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A fungal community-based high throughput approach to determine

ecological bio-indicators of Moroccan cork oak decline

F.Z. Maghnia

1,2,4

, F. Mahé

2

, S. Bakkali Yakhlef

3

, B. Kerdouh

1

, M. Ouajdi

1

, Y. Prin

2

, N. El Ghachtouli

4

, R. Duponnois

5

, Y. Abbas

1,6

, H. Sanguin

2

1

Service de Sylviculture et Santé des Forêts, Centre National de Recherche Forestière, BP 763, Agdal-Rabat, Maroc;

2

Cirad, UMR LSTM, F-34398, Montpellier, France;

3

Ministère de

l’Agriculture et de la Pêche Maritime, Direction de l'Enseignement, de la formation et de la recherche BP 607, Rabat, Maroc;

4

Université Sidi Mohammed Ben Abdellah, Faculté

des Sciences et Techniques, Laboratoire de biotechnologie Microbienne, PO 2202, Fès, Maroc;

5

IRD, UMR LSTM, F-34398, Montpellier, France;

6

Université Sultan Moulay

Slimane, Faculté Polydisciplinaire, Département de Biologie-Géologie, Mghila BP 592, Béni Mellal, Maroc

Context and objectives

The cork oak (Quercus suber), an emblematic Mediterranean evergreen sclerophyllous tree, constitutes a major ecological resource and provides important financial support for Mediterranean populations, but suffers from various forms of decline, due to the worsening of environmental pressures.

Cork oak-based ecosystem functioning is closely tied to two major biotic parameters, (i) the formation of symbioses between the cork oak and ectomycorrhizal fungi, and (ii) the interaction between plant cover (shrubs) and the cork oak.

The characterization of ecological bio-indicators based on this two biotic parameters is crucial to survey the health of ecosystems and to ensure a suitable response to environmental changes. Deciphering mycorrhizal community structure and diversity in cork oak ecosystems and assembly rules in relation to plant cover are major.

The current study aims at characterizing fungal networks in different Moroccan cork oak forests, characterized by degraded and non degraded stands, to determine multiple ecological bio-indicators.

 Study sites and sampling

Maâmora forest

degraded site

Chefchaounforest

non degraded site

3 plots/ site 3 cork oak/plot 2 shrubs/ cork oak

144 root systems (+mycorrhizosphere soils)

Sampling design

Maâmora forest Benslimane forest Chefchaoun forest

Phenotypic and molecular

analysis of fungal community

Acknowledgements

This study was supported by the “Southern PhD student program” funding (CIRAD).

We are also grateful to Estelle TOURNIER and Pierre TISSEYRE (UMR LSTM) for helping in molecular approaches. We thank the Forest Research Center for their support and for technical assistance.

We also thank everyone who participated to the success of this research program.

Fieldwork was conducted in 3 cork oak forests characterized by degraded (D) and non-degraded (ND) stands. Three representative plants of cork oak ecosystems were selected for sampling, ie. Quercus suber (Q) , Cistus salviifolius (CS), and Cistus monspeliensis (CM).

 Fungal community analysis

Root-associated fungal community was assessed using two approaches, (i) morphological identification, and (ii) a high throughput ITS-based illumina sequencing

UNIVERSITÉ SIDI MOHAMED BEN ABDELLAH FACULTÉ DES SCIENCES ET TECHNIQUES

FÈS

HAUT COMMISSARIAT DES EAUX ET FORETS ET LA LUTTE CONTRE LA DÉSERTIFICATION

CENTRE DE RECHERCHE FORESTIÈRE- RABAT

Phenotypic

 Results and discussion

• This study represent the most extensive characterization of fungal diversity in cork

oak ecosystems.

• Fungal community in Moroccan cork oak forest were dominated by

Ectomycorrhizal fungi groups belonging to Russulales, Thelephorales, Agaricales,

Sebacinales, Hysteriales.

• No impact of forest status was observed on fungal richness and diversity.

• Fungal community structure was significantly impacted by habitat (forests), status

(degraded or non degraded), and host plant (Q. suber, C. salviifolius, C.

monspeliensis), but no interaction was observed between status and plant

• The Ascomycota / Basidiomycota ratio appeared as a promising fungal

bio-indicator to monitor cork oak forest health, but highly dependant of number and

type of samples, highlighting the need to develop multi-plant-based and

geographically-based approaches.

• A wide range of indicator fungal OTUs was determine at the habitat and

status×plant levels. More than 376 OTUs were specific to both a forest status and

a plant type. 61 OTUs were specific to a plant type, independently of forest status.

• Results strengthened the importance of fungal community in ecosystem

functioning and the need to integrate fungal bio-indicator based monitoring as

innovative guidelines for a better management of cork oak forests ecosystems

- Quercus suber -

- Cistus salviifolius -

Forest status (Degraded [D] or non-degraded) [ND]

- Cistus monspeliensis -

Molecular

R

ela

tiv

e abunda

nce

(num ber of r ea ds) D ND D ND D ND

3 8 8

5 8 5

5 13 12

D ND D ND D ND

3 6 10

2 10 2

7 7 10

D ND D ND

4 8 4

5 6 5

 Bio-indicator determination

Fungal-plant interaction network analyses were used to determine bio-indicators of Moroccan cork oak forests

R

ela

tiv

e r

ichness

(O TU mem ber ship)

- Quercus suber -

- Cistus salviifolius -

- Cistus monspeliensis -

Habitat Status Plant Habitat×Status Habitat×Plant Status×Plant

Ecological drivers

Richness Diversity Equitability Structure *** *** *** *** *** ** * *** *** ns ns ns *** ns ns ns *** ns * * *** ns ns ns ns Signif. codes: P < 0.001 ‘***’ ; P < 0.01 ‘**’ ; P < 0.05 ‘*’

Are phylum-based ratios good bio-indicators ?

Asco

m

yco

ta

/Basi

dio

m

yco

ta

r

atio

(r ela tiv e abund ance)

Forest status (Degraded or non-degraded)

D > ND

(P=0.01592; all plants + all habitats)

Are there ecological indicator species in the fungal community ?

ND

Status×Plant

(476 indicator fungal OTUs / 5868)

D Q CS CM 159 48 43 77 30 19 7 7 37 1 1 1 1 21 1 3 4 2 2 1 2 2 1 5 1

The presence of indicator fungal species regarding the habitat and the status×plant was determined using the corrected Pearson’s phi coefficient of association (“r.g”) and the corrected indicator value index (“IndVal.g”species), respectively (R package indicspecies [De Caceres et al., 2010]).

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