Comparison of ISSR and SSR markers for analysis of genetic diversity in the seagrass Posidonia oceanica

Serra, Ilia Anna; Procaccini, Gabriele; Intrieri, Maria; Migliaccio, Marianna; Mazzuca, Silvia; Innocenti, A. M.

doi:10.3354/meps338071

Cited by 26 publications

(20 citation statements)

References 31 publications

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“…Calculated P sex probabilities were all lower than 0.01, which is the level that was used to reject the null hypothesis that the ramets belong to individuals derived from distinct sexual events (Serra et al . ). We used MLGs for all following statistics, but the number of MLLs is also reported.…”

Section: Methodsmentioning

confidence: 97%

“…However, as somatic mutations and scoring errors could lead to an underestimation of the number of clones, the data set of MLGs was further investigated by removing one locus at a time to identify MLGs that are distinct at one locus, termed MLLs and re-calculating P sex . Calculated P sex probabilities were all lower than 0.01, which is the level that was used to reject the null hypothesis that the ramets belong to individuals derived from distinct sexual events (Serra et al 2007). We used MLGs for all following statistics, but the number of MLLs is also reported.…”

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confidence: 99%

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Should we sync? Seascape‐level genetic and ecological factors determine seagrass flowering patterns

et al. 2015

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Summary Spatial and temporal heterogeneity in flowering occur in many plant species with abiotic pollination and may confer fitness advantages through mechanisms such as predator satiation or pollination efficiency. Environmental factors such as light quality or quantity and temperature play an important role in inducing synchronization on wide geographic scales. On a smaller geographic scale, external factors such as resource availability and herbivory are theorized to trigger flowering, while genetic factors may also play an important role. In this study, we assessed the importance of ecological and genetic factors in shaping seascape‐level spatial heterogeneity in flowering of the seagrass Posidonia oceanica. By investigating spatially close sites (<20 km) with similar seascape configurations and depth, we assume that major environmental drivers (temperature and light) were equivalent. We assessed four ecological factors (productivity, leaf nitrogen and carbon content and herbivory) and three genetic factors (heterozygosity, relatedness and clonality) to assess three hypotheses for synchronized flowering in P. oceanica: (i) clone synchronization (internal clock hypothesis), (ii) variation in nutrient availability, potentially caused by spatial heterogeneity in herbivory rates or nutrient translocation via clonal integration (resource budget hypothesis) or (iii) kin selection and sibling synchronization. Internal relatedness and heterozygosity had a significant positive effect on the abundance of flowers. Moreover, productivity and genotypic richness (clonality) were negatively associated with flower density, although at a lower level of significance. In addition, we found that clones were almost exclusively shared among mass‐flowering patches and patches without mass‐flowering, respectively. Synthesis. The results shed new light on seagrass flowering patterns and on the mechanisms of flower synchronization at the patch level within a wider spatial scale. We found support for the kin selection hypothesis and indirect evidence for the resource budget hypothesis. Thus, a combination of mainly genetic but also ecological factors causes the observed heterogeneous flowering patterns in Posidonia oceanica seascapes. In addition, we found a strong positive relationship between the number of flowers and heterozygosity, adding evidence to the controversial association between heterozygosity and fitness when a limited number of loci are used. To our knowledge, this study is the first to link both ecological and genetic factors with flower abundance in a species with a presumed masting strategy.

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Section: Methodsmentioning

confidence: 97%

mentioning

confidence: 99%

Should we sync? Seascape‐level genetic and ecological factors determine seagrass flowering patterns

et al. 2015

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“…Allelic assignment has been refined in relation to existing datasets (Arnaud‐Haond et al. 2007b; Serra et al. 2007).…”

Section: Methodsmentioning

confidence: 99%

Seagrass meadows at the extreme of environmental tolerance: the case of Posidonia oceanica in a semi‐enclosed coastal lagoon

et al. 2009

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Atoll‐like structures of the endemic Mediterranean seagrass Posidonia oceanica were encountered in the innermost area of the Stagnone di Marsala, a semi‐enclosed coastal lagoon along the western coasts of Sicily. The area is characterized by limited water exchange with the open sea and by a marked seasonal variation of water salinity and temperature, reaching beyond the theoretical tolerance limits of the species. In the present study we determined the genetic composition of the atoll‐like structures, as well as the growth performance and flowering rate of these stands. We also assessed whether and to what extent the atoll‐like structures are genetically isolated from plants growing in meadows outside the lagoon. For this purpose we utilized 13 microsatellite markers to genotype single shoots sampled inside and outside the lagoon. Lepidochronological analyses were performed on the same shoots to determine the annual rhizome growth rate, the number of leaves and the inflorescences formed as an estimate of growth‐ and reproductive performance over the years. The innermost area of the lagoon showed a lower number of alleles, a lower percentage of polymorphic loci, a lower clonal diversity, but higher heterozygosis excess with respect to the other areas analysed. Spatial autocorrelation was here significant, up to slightly below 300 m. Shoots collected in the atolls exhibited a 25% lower vertical growth rate and 16% lower leaf formation in comparison to those in open‐sea meadows. No flowering events were recorded during 24 years of investigation, whereas inflorescences were observed frequently in meadows outside the lagoon. Results from Fst and factorial correspondence analysis confirmed the expected genetic isolation of the confined atolls with respect to the meadows outside the lagoon and revealed limited gene flow within the lagoon itself. Apparently, the enclosed system of the Stagnone lagoon is genetically isolated, with a possible selection of genotypes adapted to persistent stressful conditions, consistent with reduced growth and lack of flowering events.

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“…By molecular techniques, many authors estimated seagrass genetic variability (Reusch 2001;Micheli, Paganin, Peirano, Caye, et al 2005;Diaz-Almela et al 2007;Procaccini et al 2007;Schwartz et al 2007;Serra et al 2007) and assessed the impact of disturbance on gene flow using random amplified polymorphic DNA (RAPD) technique (Waycott 1995;Cheng et al 1997;Amzallag 1999;Alberto et al 2001;Jover et al 2003;Jones et al 2008). For all these reasons, we used them to verify the probability of an external genetic input by comparing the genetic traits of fruits collected in one P. oceanica meadow with those of fruits stranded in front of the meadow and downcurrent.…”

Section: Introductionmentioning

confidence: 99%

Genetic input byPosidonia oceanica(L.) Delile fruits dispersed by currents in the Ligurian Sea

Micheli

Spinosa

Aliani

et al. 2010

Plant Biosystems - An International Journal Dealing with all As

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An external genetic input of Posidonia oceanica fruits dispersed by currents in the Ligurian Sea (Western Mediterranean) was investigated. During 2003-2004, when a massive fruiting event occurred, fruits were collected from plants at Monterosso al Mare (meadow) and compared with stranded fruits sampled in front of the meadow and downcurrent in Tuscany along 80 km of the coast. After their growth in culture, the plants were analysed using 10 random amplified polymorphic DNA (RAPD) molecular markers. Cluster analysis of similarity showed four distinct genetic populations. One group included parental plants from Monterosso and stranded fruits with the same genetic traits. The second group was formed by fruits stranded in the southern sector (Tuscany), and the third and the fourth groups were samples taken onshore, in front of the meadow, which appeared very different from the other two groups. Results evidenced the probability of the arrival of a new genetic population of nearly 40%, and it seems likely that the stranded fruits of external provenance did not come from the nearest P. oceanica meadows of Tuscany but were probably carried ashore by the Corsica current, as supported by an oceanographic analysis.

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Comparison of ISSR and SSR markers for analysis of genetic diversity in the seagrass Posidonia oceanica

Cited by 26 publications

References 31 publications

Should we sync? Seascape‐level genetic and ecological factors determine seagrass flowering patterns

Should we sync? Seascape‐level genetic and ecological factors determine seagrass flowering patterns

Seagrass meadows at the extreme of environmental tolerance: the case of Posidonia oceanica in a semi‐enclosed coastal lagoon

Genetic input byPosidonia oceanica(L.) Delile fruits dispersed by currents in the Ligurian Sea

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