| Literature DB >> 26225119 |
V Ordóñez1, M Pascual1, M Fernández-Tejedor2, M C Pineda3, D Tagliapietra4, X Turon5.
Abstract
Non-indigenous ascidians are of particular concern to aquaculture industry and, paradoxically, the activities associated with it represent an important way to translocate these species worldwide. In 2012 a non-indigenous ascidian was found covering the oyster crops in the Ebro Delta (Western Mediterranean). We have identified the ascidian genetically and morphologically as Didemnum vexillum Kott, 2002. This finding indicates that the species is currently expanding its distribution in the Mediterranean Sea, as it has recently been found in the eastern basin (Venice, Adriatic Sea). Introduced populations of D. vexillum are found in temperate and cold waters worldwide, and a successful establishment in the Mediterranean implies a remarkable capacity of adaptability to warm, subtropical conditions. We assessed the life cycle (growth and reproduction) of the ascidian at the studied site. The species has a marked seasonal cycle, with regression in the warmest months and reappearance during winter. In spring D. vexillum reaches its maximum abundance, followed by a peak in reproduction just before regression. This cycle is reversed with respect to the one observed in colder waters, highlighting a plastic biological cycle of this invader and an hitherto unknown ability to establish itself in warm waters. We also analysed the genetic structure of the population of the Ebro Delta and the one established in the Lagoon of Venice using COI sequence data. The low genetic diversity in our samples (three haplotypes) was consistent with what is observed in the introduced populations worldwide. It is likely that the ascidian was introduced with oyster stock from bivalve cultures in the Atlantic French coasts, where the same three haplotypes have been reported. The high boating activity in the Ebro Delta makes further human-mediated transport of the species highly likely, and nearby fishing grounds can be severely affected if invaded. It is urgent to implement measures to prevent the continuous expansion of this ascidian pest in the Mediterranean.Entities:
Keywords: Aquaculture; Ascidian; COI; Growth rate; Introduced species; Maturity index
Year: 2015 PMID: 26225119 PMCID: PMC4513794 DOI: 10.1007/s10530-015-0861-z
Source DB: PubMed Journal: Biol Invasions ISSN: 1387-3547 Impact factor: 3.133
Fig. 1Sampling and monitoring site of Didemnum vexillum in Fangar Bay (Ebro Delta, Spain, western Mediterranean Sea), and sampling site in the Lagoon of Venice (Italy, eastern Mediterranean Sea). Haplotype composition (pie charts) of both populations is also shown (numbers indicate haplotype codes as in Stefaniak et al. 2012)
Fig. 2Growth cycle and time-course of the maturity index of Didemnum vexillum from May 2012 to December 2013. Monthly area values represent the mean coverage (cm2/m ± SE) of the five ropes surveyed (from May 2012 to August 2012 only the value corresponding to the single rope with the ascidian is shown, see text). Maturity index as defined in text, note that a value of 0 was assigned to the month when no colonies were present (October 2012). Bars are standard errors. Temperature recordings during this period are also plotted for comparison. Horizontal dotted line marks the value of 0 for area
Fig. 3Reproductive status of the zooids in colonies of Didemnum vexillum from Fangar Bay (Ebro Delta) over the monitored period. Columns indicate the percentage of zooids belonging to each stage (average of five colonies per month). The solid line represents the percentage of colonies that were brooding embryos and/or larvae in the basal tunic. Light grey column indicates that no colonies were present in October 2012. Sampling could not be carried out in September 2012 and February 2013
Fig. 4Cross-correlation analyses between the mean monthly coverage (cm2/m) and the Maturity index (MI) of Didemnum vexillum with temperature (°C). Cross-correlation between MI and coverage is also provided. Data series were lagged with respect to one another and the Pearson correlation coefficient computed for each time lag. The curved lines represent the threshold for significant (p = 0.05) correlation values. Time lags are in months