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. 2019 May 27;25:104068. doi: 10.1016/j.dib.2019.104068

Data on the diet composition of Hippocampus guttulatus cuvier, 1829: Different prey preferences among habitats

Francesca Ape a, Giuseppe Corriero b, Simone Mirto a, Cataldo Pierri b, Tamara Lazic b,, Michele Gristina b
PMCID: PMC6582234  PMID: 31245513

Abstract

The data presented here support research article entitled ‘Trophic flexibility and prey selection of the wild long-snouted seahorse Hippocampus guttulatus Cuvier, 1829 in three coastal habitats’’ Ape et al., 2019. Determinations of the dietary composition, differences in prey selection and potential prey abundance and availability among three habitats at Taranto Mar Piccolo were based on the analysis of gut contents of seahorses and sediment samples. Both highly (Corallina elongata and Cladophora prolifera) and low complex (sandy bottom) habitats were investigated. Prey items were divided into two size classes: <1 mm and >1mm. Data about the total abundance of each prey size class in gut contents and sediments in three different habitats and PERMANOVA comparisons are given.

Keywords: Hippocampus guttulatus, Gut content, Prey availability, Habitat type


Specifications table

Subject area Ecology
More specific subject area Dietary and foraging ecology
Type of data Tables
How data was acquired Gut contents of seahorses were obtained by flushing method, while sediments used for the study of benthic fauna were manually sampled by three replicate cores. Organisms were counted and classified at the major taxa level of taxonomic discrimination using a stereomicroscope (after extraction from sediments and algal fragments in case of benthic organisms). Statistical analyses were performed using PRIMER v6 + software.
Data format Raw and analyzed
Experimental factors Gut contents of 83 individuals of Hippocampus guttulatus and samples of benthic fauna from three different habitats at Taranto Mar Piccolo were analyzed.
Experimental features Taxonomical identification of the ingested prey from gut contents and potential prey from benthic faunal samples to determine diet of H. guttulatus and investigate the differences in the diet composition respect to the prey availability in different habitats.
Data source location Taranto Mar Piccolo, Southern Italy
Data accessibility Data are included in this article
Related research article F. Ape, G. Corriero, S. Mirto, C. Pierri, T. Lazic, M. Gristina. Trophic flexibility and prey selection of the wild long-snouted seahorse Hippocampus guttulatus Cuvier, 1829 in three coastal habitats. Estuar. Coast. Shelf Sci., 224, 2019, 1–10.
Value of the data
  • The presented data show that gut content analysis is a valuable tool to determine the dietary composition of seahorses. Obtained dietary information can be used by other researchers.

  • Data enabled the determination of the dietary composition of long-snouted seahorses as well as differences in the prey preferences among investigated habitats.

  • Flushing method, adopted by this work and used to sample gut contents, allowed to appreciate the importance of prey without calcareous/chitinous exoskeleton, such as nematodes.

  • Overall, collected data could help to understand the variability and consistency of ecological requests of this species and could help to comprehend better the patchy distribution of seahorses.

1. Data

Data presented describe investigated habitats (Corallina elongata, sandy bottom and Cladophora prolifera; Table 1), total abundance of prey items found in seahorse gut contents and in sediments of each habitat (Table 2). In Table 3, Table 4, the results of PERMANOVA analyses, performed to establish differences in the diet among three habitats in terms of total abundance, abundance of the different size classes (<1mm, > 1mm), taxa richness and composition of prey, are reported. Finally, PERMANOVA analyses, carried out to determine the differences in total abundance of benthic fauna, abundance of different size classes (<1mm, > 1mm), taxa richness and community composition among investigated habitats, are presented in Table 5, Table 6.

Table 1.

Descriptions, extensions (m2) and depth ranges (m) of the sampled habitat types (Corallina elongata, sandy bottom and Cladophora prolifera).

Habitat Description Surface (m2) Depth range (m)
Corallina elongata Corallina elongata forms a dense turf on the vertical side of the concrete wall. The algal turf, interrupted by brown algae (Cystoseira sp., Dictyota dichotoma) and filter feeders (large sabellids, both colonial and solitary ascidians, demosponges, bryozoans and hydrozoans), provides substratum and refuges for diverse epifaunal organisms. 5.504 0.4–0.7
Soft bottoms Near the coastline, soft bottoms are mixed with a large amount of organogenous concretions (bivalve and gastropods shells), small stones and artificial hard substrates that are mainly colonized by sabellids and solitary ascidians. 4.419 1.6–2.2
Cladophora prolifera Large beds interspersed with soft bottom. Sabellid polychaetes, solitary and colonial ascidians are scattered on the substrate. Ceriantharia Pachycerianthus solitarius may be locally abundant. 7.471 3.3–3.9

Table 2.

Abundance (N = mean ± standard deviation) of each size class of organisms found in the guts of H. guttulatus and in the sediments in three different habitats (Corallina elongata, sandy bottom and Cladophora prolifera). Data on the total abundance (sum of organisms < 1mm and > 1mm) of organisms found in the guts and sediments in three habitats are published in Table 1, Table 3, respectively, of the article: Trophic flexibility and prey selection of the wild long-snouted seahorse Hippocampus guttulatus Cuvier, 1829 in three coastal habitats [1].

Taxa Corallina elongata
Sandy bottom
Cladophora prolifera
Gut content
Sediment content
Gut content
Sediment content
Gut content
Sediment content
<1mm >1mm <1mm >1mm <1mm >1mm <1mm >1mm <1mm >1mm <1mm >1mm
Nematoda 12.4 ± 8.9 0.0 790.0 ± 388.0 0.0 5.0 ± 8.0 0.0 122.0 ± 13.5 0.0 4.0 ± 3.5 0.0 92.3 ± 11.0 0.0
Copepoda 14.5 ± 10.0 0.0 398.5 ± 78.5 0.0 4.1 ± 3.3 0.0 403.0 ± 136.8 0.0 8.7 ± 5.8 0.0 262.0 ± 73.0 0.0
Harpacticoida 12.2 ± 8.4 0.0 322.0 ± 52.0 0.0 2.4 ± 2.3 0.0 244.0 ± 72.3 0.0 7.2 ± 5.9 0.0 226.0 ± 58.9 0.0
Calanoida 0.0 0.0 0.0 0.0 0.2 ± 0.5 0.0 0.0 0.0 0.1 ± 0.4 0.0
Cyclopoida 0.2 ± 0.5 0.0 8.0 ± 4.0 0.0 0.1 ± 0.3 0.0 2.3 ± 0.6 0.0 0.8 ± 2.0 0.0 4.3 ± 1.5 0.0
Nauplia 2.1 ± 3.0 0.0 68.5 ± 29.5 0.0 1.4 ± 1.7 0.0 176.7 ± 65.6 0.0 0.7 ± 1.3 0.0 31.7 ± 14.5 0.0
Polychaeta 0.6 ± 0.8 0.0 378.0 ± 13.0 1.5 ± 0.5 0.0 ± 0.2 0.0 61.7 ± 20.1 4.7 ± 1.5 0.2 ± 0.4 0.0 45.3 ± 15.0 3.7 ± 2.9
Ostracoda 0.5 ± 0.8 0.0 22.0 ± 1.0 0.0 0.0 ± 0.2 0.0 0.0 0.0 0.0 0.0 7.0 ± 4.0 0.0
Amphipoda 5.7 ± 4.7 10.0 ± 7.8 67.5 ± 1.5 5.5 ± 0.5 0.1 ± 0.2 0.7 ± 1.1 11.7 ± 2.5 2.0 ± 1.0 0.8 ± 1.2 9.3 ± 9.2 19.3 ± 4.7 14.3 ± 9.3
Unidentified 5.7 ± 4.7 9.6 ± 7.9 67.5 ± 1.5 5.5 ± 0.5 0.1 ± 0.2 0.4 ± 0.8 11.7 ± 2.5 2.0 ± 1.0 0.8 ± 1.2 8.8 ± 9.2 19.3 ± 4.7 14.3 ± 9.3
Caprellidae 0.0 0.4 ± 0.7 0.0 0.0 0.0 0.3 ± 0.8 0.0 0.0 0.0 0.6 ± 0.9 0.0 0.0
Isopoda 2.6 ± 2.3 7.4 ± 5.1 29.0 ± 12.0 1.5 ± 1.5 0.3 ± 0.7 1.3 ± 2.0 0.7 ± 1.2 0.0 1.0 ± 2.6 1.3 ± 1.9 2.3 ± 1.5 1.3 ± 0.6
Unidentified 1.1 ± 1.9 7.4 ± 5.1 4.0 ± 3.0 1.5 ± 1.5 0.3 ± 0.7 1.3 ± 2.0 0.7 ± 1.2 0.0 0.2 ± 0.5 1.3 ± 1.9 0.7 ± 0.6 1.3 ± 0.6
Asellota 1.5 ± 2.0 0.0 25.0 ± 9.0 0.0 0.0 ± 0.2 0.0 0.0 0.0 0.7 ± 2.2 0.0 1.7 ± 1.2 0.0
Tanaidacea 0.1 ± 0.3 0.0 4.5 ± 3.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Galatheoidea 0.0 1.0 ± 2.5 0.0 0.0 0.0 3.3 ± 4.7 0.0 0.0 0.0 1.8 ± 3.8 0.0 0.0
Paguroidea 0.0 0.0 ± 0.2 0.0 0.0 0.0 0.3 ± 0.5 0.0 0.0 0.0 0.0 0.0 0.0
Mysidacea 0.0 0.6 ± 2.7 0.0 0.0 0.0 0.1 ± 0.3 0.0 0.0 0.0 0.0 ± 0.2 0.0 0.0
Bivalvia 0.0 0.0 0.0 1.0 ± 0.0 0.0 ± 0.2 0.0 0.0 0.3 ± 0.6 0.0 0.0 1.0 ± 1.7 0.0
Gastropoda 0.0 0.0 0.0 3.5 ± 1.5 0.1 ± 0.6 0.0 0.3 ± 0.6 0.0 0.0 0.0 0.0 0.0
Acarina 0.1 ± 0.3 0.0 0.5 ± 0.5 0.0 0.1 ± 0.3 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Pycnogonida 0.0 0.0 0.0 0.0 0.0 0.0 ± 0.2 0.0 0.0 0.0 0.0 ± 0.2 0.0 0.0
Turbellaria 0.0 0.0 0.5 ± 1.5 0.0 0.0 0.0 0.7 ± 1.2 0.0 0.0 0.0 0.7 ± 1.2 0.0
Ophiuroidea 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.3 ± 0.6 0.0

Table 3.

Results of PERMANOVA analysis carried out to ascertains the differences in gut contents of H. guttulatus among three habitats (Corallina elongata, sandy bottom and Cladophora prolifera) in terms of total abundance of prey items, preys < 1mm, preys > 1mm, number of higher taxa and community composition of prey items (df = degree of freedom, MS = mean square, Pseudo-F = F statistic, P(perm) = probability level; *** = P < 0.001; ** = P < 0.01; * = P < 0.05, n.s. = not significant).

PERMANOVA Main test
Variable Source df MS Pseudo-F P(perm)
Total abundance Habitat 2 1703.4 40.8 ***
Residual 80 41.7
Total 82
Prey < 1mm Habitat 2 1965.5 25.5 ***
Residual 80 76.9
Total 82
Prey > 1mm Habitat 2 2235.6 6.5 ***
Residual 80 345.6
Total 82
Taxa Habitat 2 1153.5 7.2 **
Residual 80 160.5
Total 82
Community Habitat 2 9061.1 14.0 ***
Residual 80 645.3
Total 82

Table 4.

Results of PERMANOVA pairwise analysis carried out to ascertains the differences in gut contents of H. guttulatus among three habitats (Corallina elongata, sandy bottom and Cladophora prolifera) in terms of total abundance of prey items, preys < 1mm, preys > 1mm, number of higher taxa and community composition of prey items (P(perm) = probability level; *** = P < 0.001; ** = P < 0.01; * = P < 0.05, n.s. = not significant).

PERMANOVA Pairwise
Variable Groups t P(perm)
Total abundance Corallina elongata, Sandy bottom 8.7 ***
Corallina elongata, Cladophora prolifera 5.0 ***
Sandy bottom, Cladophora prolifera 4.0 ***
Prey < 1mm Corallina elongata, Sandy bottom 7.3 ***
Corallina elongata, Cladophora prolifera 4.6 ***
Sandy bottom, Cladophora prolifera 2.2 *
Prey > 1mm Corallina elongata, Sandy bottom 3.8 ***
Corallina elongata, Cladophora prolifera 1.6 n.s.
Sandy bottom, Cladophora prolifera 1.9 *
Taxa richness Corallina elongata, Sandy bottom 3.7 ***
Corallina elongata, Cladophora prolifera 3.1 **
Sandy bottom, Cladophora prolifera 0.6 n.s.
Community Corallina elongata, Sandy bottom 4.6 ***
Corallina elongata, Cladophora prolifera 2.9 ***
Sandy bottom, Cladophora prolifera 3.1 ***

Table 5.

Results of PERMANOVA analysis carried out to ascertains the differences in sediment contents among three habitats (Corallina elongata, sandy bottom and Cladophora prolifera) in terms of total abundance of benthic fauna, organisms < 1mm, organisms > 1mm, number of higher taxa and community composition (df = degree of freedom, MS = mean square, Pseudo-F = F statistic, P(MC) = probability level; *** = P < 0.001; ** = P < 0.01; * = P < 0.05, n.s. = not significant).

PERMANOVA Main test
Variable Source df MS Pseudo-F P(MC)
Total abundance Habitat 2 225.2 36.5 ***
Residual 6 6.2
Total 8
Organisms < 1mm Habitat 2 235.5 33.9 ***
Residual 6 6.9
Total 8
Organisms > 1mm Habitat 2 94.3 2.7 n.s.
Residual 6 34.5
Total 8
Taxa Habitat 2 772.1 20.6 **
Residual 6 37.4
Total 8
Community Habitat 2 951.8 13.5 ***
Residual 6 70.5
Total 8

Table 6.

Results of PERMANOVA pairwise analysis carried out to ascertains the differences in sediment contents among three habitats (Corallina elongata, sandy bottom and Cladophora prolifera) in terms of total abundance of benthic fauna, organisms < 1mm, number of higher taxa and community composition (P(MC) = probability level; *** = P < 0.001; ** = P < 0.01; * = P < 0.05, n.s. = not significant).

PERMANOVA Pairwise
Variable Groups t P(MC)
Total abundance Corallina elongata, Sandy bottom 6.0 **
Corallina elongata, Cladophora prolifera 9.0 ***
Sandy bottom, Cladophora prolifera 1.7 n.s.
Organisms < 1mm Corallina elongata, Sandy bottom 6.0 **
Corallina elongata, Cladophora prolifera 8.4 **
Sandy bottom, Cladophora prolifera 1.8 n.s.
Taxa richness Corallina elongata, Sandy bottom 7.0 **
Corallina elongata, Cladophora prolifera 3.6 *
Sandy bottom, Cladophora prolifera 2.6 n.s.
Community Corallina elongata, Sandy bottom 4.7 **
Corallina elongata, Cladophora prolifera 4.3 **
Sandy bottom, Cladophora prolifera 2.1 *

2. Experimental design, materials and methods

Data were gathered from 83 specimens of Hippocampus guttulatus collected at Taranto Mar Piccolo in Southern Italy from habitats of different complexity: two highly (Corallina elongata and Cladophora prolifera) and one low complex (sandy bottom) habitat. To investigate a spectrum of prey items present in the habitat so as to determine seahorse's prey preferences, benthic faunal samples were also collected.

Seahorses, selected according to their appearance, were hand-picked by SCUBA divers, morphometrically measured and then transferred to the containers containing filtered seawater (30 μm mesh) and clove oil (0.05%), a natural anesthetic [2], [3]. To obtain gut contents, the technique of stomach flushing was applied [1], [3]. The water inside the container was sieved through 30 μm mesh. The fraction retained on the sieve was preserved in 50 ml tubes and in 4% buffered formalin and Rose Bengal (0.5 g l−1). Benthic faunal samples were collected from the same habitats as seahorses. In each habitat, three replicate cores (with a diameter of 3.7 cm) were considered. Obtained samples were fixed in 4% buffered formaldehyde in filtered (0.3 μm mesh) seawater solution and in the laboratory, organisms were extracted from sediments by different techniques [4], [5]. For both types of samples, the benthic faunal composition was assessed by visual identification under the stereomicroscope. Two size classes of organisms were identified: larger (>1mm) and smaller (i.e. meiofauna < 1mm). A detailed explanation of procedures is provided in [1]. Univariate and multivariate distance-based permutational nonparametric analyses of variance (PERMANOVA) [6], [7] were performed including habitat (three levels: Corallina elongata, sandy bottom and Cladophora prolifera) as a fixed factor.

Acknowledgements

Thanks to Carlo Pipitone for helping in identifying feeding items. A special thanks to Dr Fabio Lunetta for assisting in anesthetic and catheter procedures.

The authors received no specific funding for this work.

Footnotes

Transparency document associated with this article can be found in the online version at https://doi.org/10.1016/j.dib.2019.104068.

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References

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