• Non ci sono risultati.

Preliminary data on the genetic variability of the fan mussel <i>Pinna nobilis</i> in the Northern Sardinia = Dati preliminari sulla variabilità genetica del mollusco bivalve <i>Pinna nobilis</i> nella Sardegna settentrionale

N/A
N/A
Protected

Academic year: 2021

Condividi "Preliminary data on the genetic variability of the fan mussel <i>Pinna nobilis</i> in the Northern Sardinia = Dati preliminari sulla variabilità genetica del mollusco bivalve <i>Pinna nobilis</i> nella Sardegna settentrionale"

Copied!
2
0
0

Testo completo

(1)

Bio!. Mar. Mediterr. (2011), 18 (1): 286-287

D. SANNA, G.L. DEDOLA, F. SCARPA, T. LAl, P. COSSU, S. CARONNI1

, F. MURA2, A. RUIU2, P. PANZALIS3, B. CRISTO, G. RUSSINd, M. CURINI-GALLETTI, M. CASU

Dipartimento di Zoologia e Genetica Evoluzionistica, Università di Sassari, Via Francesco Muroni, 25 -07100 Sassari, Italia.

darsanna@uniss.it

I DiSTA, Università di Pavia, Italia. 2A.M.P. Capo Caccia Isola Piana, Alghero, Italia.

3A.M.P. Tavolara - Punta Coda Cavallo, Olbia, Italia.

PRELIMINARY DATA ON TRE GENETIC VARIABILITY OF THE

FAN MUSSEL PINNA NOBILIS IN TRE NORTHERN SARDINIA

DATI PRELIMINARI SULLA

VARIABILITÀ

GENETICA DEL MOLLUSCO

BIVALVE

PINNA NOBILIS NELLA SARDEGNA SETTENTRIONALE

Abstract - The fan mussel Pinna nobilis Linnaeus, 1758 is one of the most endangered Mediterranean

bivalve. After a reduction of its distribution as a consequence of anthropic factors, the environmental

politics led to a new demographic increasing of individuals in some Mediterranean regions. This work

aimed to shed some Iight on the genetic structure of two new-raised popu/ations in northern Sardinia. Key-words: Pinna nobilis, genetics, population dynamics, conservation.

Introduction - The fan mussel Pinna nobilis Linnaeus, 1758 is the largest endemic Mediterranean bivalve, living in soft-sediment areas and beds of seagrass. CommerciaI expIoitation and habitat pollution strongly affected its populations during the past centuries, Ieading to a dramatic reduction of the distribution of the species in the Iast 20-30 years. At present, effort for the protection of P. nobilis has Ied to a great demographic expansion reported in many Mediterranean sites. However, with the exception of the study of Katsares et al. (2008), who surveyed four Aegean populations, genetic data are still Iacking. In such context, the present study was devoted to improve the knowIedge on the genetic variability of Sardinian populations which underwent patterns of demographic regression/expansion.

Materials and methods - Forty-nine specimens from two areas of northern Sardinia were anaIysed: 23 from the Capo Caccia Isola Piana MPA, and 26 from the Tavolara Capo Coda Cavallo MPA. A non Iethal sampling strategy was applied, ab cising a small portion of mantle tissue from individuaIs in situo Mitochondrial Cytochrome c Oxidase subunit I gene was amplified using standard PCR and sequencing procedures. Estimates of genetic diversity were obtained using DnaSP (Rozas and Rozas, 1999). Genetic relationships among individuals were inferred using Network (www.fluxus-engineering.com). The occurrence of genetic structuring among samples was investigated by Baps (Corander and Tang, 2007). Historical population dynamics were estimated by pairwise differences distribution anaIysis u ing DnaSP.

Results - Overall, 12 hapIotypes were found, four of which were shared between the two areas. Noteworthy, the two most common hapIotypes were shared respectively by 14 and 18 individuals, and six were unique. Comparable values of haplotype

(h-0.8) and nuc1eotide (rr-0.005) diversity occur at both within and among population

levels. Network anaIysis pointed out a high heterogeneity distributed homogeneously throughout the whoIe sampIe, without any evidence of genetic structuring between the two MPAs. The occurrence of different haplogroups couId be hypothesised to expIain the distribution of the 12 haplotypes in the network. Indeed, Bayesian

(2)

Preliminary data on the genetic variability of tlle fan mussel P. nobilis in rhe northern ardinia 2 7

analysis evidenced the presence of three group , being con i tent with the network in

highlighting the phylogenetic relationships among haplotype ( ig. I). The mi match

distribution of pairwise differences showed a starting hape for both the t wo analy ed

areas and the whole sample, according with an early population expan ion.

Fig. l - Combined Network and Bayesian analysis. Spot on network were coloured according to the distribution of individuals among the three Bayesian groups. Red: group J; green: group II; blue: group III.

Combinazione tra Network e analisi ba)'esiana. I cerchi sul nelwork sono colorali secondo l'appartenenza degli individui ai Ire gruppi bayesiani. In rosso: gruppo I; in l'erde: gruppo 1/; in

blu: gruppo III.

Conclusions - The results obtained shed new light on the population dynamic

of P. nobilis in northern Sardinia. Samples belonging to the MPAs retrieved similar

indices of genetic diversity with no occurrence of geographic tructuring, which

suggest that populations from northern Sardinian represent a panmictic unit. The

likely bottleneck which affected such populations seems to have not left signature

on their genetic structure, which conversely present high level of variability. We

ll-defined phylogenetic relationships characterise the haplotypes distribution, with the

occurrence of three distinct haplogroups. This high variability may be explained

considering the high rate of mitochondrial evolution found in other bivalve (Hoeh

et al., 1996). An alternative explanation lie on the high dispersal capability of

the specie s, which could have contributed to the rapid re-coloni ation of northern

Sardinia. Similar results were provided by Katsares et al. (2008) for Aegean

populations, further suggesting the occurrence of high levels of gene flow among

populations in some areas of the Mediterranean. In conclu ion, Sardinian samples

appear to be long to a unique population in early, rapid expansion, promoted by an

effective larval dispersal capability.

References

CORANDER J., TANG J. (2007) - Bayesian analysi of population structure based on linked

molecular information. Math. Biosci., 205: 19-31.

HOEH W.R., STEWART D.T., SUTHERLAND B.W., ZOUROS E. (1996) - Cytochrome c Oxidase sequence comparisons suggest an unusually high rate of mitochondrial DNA evolution in

Mytilus (Mollusca: Bivalvia). Mo!. Biol. Evo!., 13 (2): 418-421.

KATSARES V., TSIORA A., GALINOU-MITSOUDI S., IMSIRIDOU A. (2008) - Genetic

tructure of the endangered peci es Pinna nobilis (Mollu ca: Bivalvia) inferred from mtDNA sequences. Biologia, 63 (3): 412-417.

ROZAS J., ROZAS R. (1999) - DnaSP version 3: an integrated program for molecular popu1ation

genetics and molecular evolution analy is. Bioinformatics, 15 (2): 174-175.

Riferimenti

Documenti correlati

In this paper, we have presented a completely local subtraction scheme for computing fully differential NNLO corrections to the production of a heavy quark-antiquark pair from

F.: Hamartoma of the trachea; re- port of a case, with review of the literature of benign tracheal neoplasms.. : Primary tracheal tumors in the infant

As the family of finite unions of N-linear sets is closed under the Boolean operations, we may wonder whether or not so is the family of finite unions of Z-linear subsets.. This is

We present the mass calibration of the XXL bright cluster sample (XXL-100-GC) based on a new mass-temperature rela- tion that we constrain using the largest sample used to date for

La tecnica, in questo modo, presenta le stesse caratteristiche che sono state rilevate per il concetto di seconda natura, così come esso è stato presentato nel

Considering now a specific pair of images as described above (first image from first sequence, second image from second sequence), the speed field computed in the overlap region

Il modello utilizzato per descrivere il moto di dondolamento (rocking) di pareti appoggiate a murature ortogonali è stato quello di un oscillatore parallelepipedo poggiato su una base

Figura 114: Visualizzazioni Cp ,vista laterale, StarCCM+® 107 Figura 115: Visualizzazioni Cp , vista frontale, posteriore, superiore e inferiore, StarCCM+® 108 Figura