Literature DB >> 35025118

Non-lethal sampling for the stable isotope analysis of the critically endangered European eel Anguilla anguilla: how fin and mucus compare to dorsal muscle.

Rose M Boardman1, Adrian C Pinder1, Adam T Piper2, Catherine Gutmann Roberts1,3, Rosalind M Wright4, J Robert Britton1.   

Abstract

Ecological studies on the critically endangered European eel Anguilla anguilla often incorporate stable isotope analysis that typically uses dorsal muscle sampled from euthanised eels. To minimise the lethal sampling of imperilled populations, fin tissue and/or epidermal mucus can provide non-lethal alternatives to muscle. The results here indicate that δ13 C and δ15 N values of both eel fin and mucus are not significantly different from those of muscle and can be applied directly in comparative SI studies.
© 2022 The Authors. Journal of Fish Biology published by John Wiley & Sons Ltd on behalf of Fisheries Society of the British Isles.

Entities:  

Keywords:  Anguillid; Red List species; non-destructive sampling; trophic ecology

Mesh:

Substances:

Year:  2022        PMID: 35025118      PMCID: PMC9303185          DOI: 10.1111/jfb.14992

Source DB:  PubMed          Journal:  J Fish Biol        ISSN: 0022-1112            Impact factor:   2.504


Natural chemical tags, such as stable isotopes, are widely used to investigate the spatial and trophic ecology of fishes (Trueman et al., 2012), with the stable isotope ratios of carbon and nitrogen (as δ13C and δ15N) commonly applied to trophic ecology and food web studies (Fry, 2006; Perkins et al., 2014). Applications include providing information on diet composition (Nolan et al., 2019), dietary shifts (Vander Zanden & Rasmussen, 1999), consumer trophic positions (Post, 2002) and foraging patterns (Cunjak et al., 2005). The stable isotope analysis (SIA) of fishes is typically performed on samples of dorsal muscle (Pinnegar & Polunin, 1999), with sampling involving the euthanasia of individuals that are then dissected in the laboratory (Sanderson et al., 2009). Although muscle can also be sampled non‐lethally through the collection of a biopsy sample via a muscle plug, these samples can introduce bias in the SI data when used on smaller fish (Schielke & Post, 2010). As neither lethal sampling nor biased data are desirable, especially when working on threatened species, alternative tissues, such as fin and scale tissue, that can be collected non‐destructively are increasingly used (Hutchinson & Trueman, 2006; Nolan et al., 2019; Sanderson et al., 2009). Although these alternative tissues can provide reliable substitutes for dorsal muscle in SI studies, their values often need correction factors to be applied if they are to be compared with dorsal muscle values from other studies (Kelly et al., 2006; Maitland & Rahel, 2021; Roberts et al., 2021). For example, values of δ13C of fin and scales tend to be enriched compared with those of muscle (Winter et al., 2019a, 2019b). SI values of muscle, fin and scales are also usually highly correlated within species, meaning their differences are highly predictable (Busst et al., 2015; Sanderson et al., 2009). In recent years, epidermal mucus has also provided a further reliable source of analytical material for studying fish SI, although when compared with other tissues, it tends to have a faster isotopic turnover rate (Winter et al., 2019b; Winter & Britton, 2021). In recent decades, the European eel Anguilla anguilla L. 1758 has undergone rapid declines in recruitment and abundance across its range and, since 2008, has been assessed as Critically Endangered on the IUCN Red List of Threatened Species (Pike et al., 2020). SIA is frequently used in ecological studies of A. anguilla, where it has been used to identify their trophic ecology across salinity gradients (Harrod et al., 2005), their dietary differences in relation to head morphology (Cucherousset et al., 2011) and aspects of parasite infection (Pegg et al., 2015). Although fin tissue is commonly used in eel SI studies (e.g., Cucherousset et al., 2011; Musseau et al., 2015), many studies still use dorsal muscle, with samples collected from euthanised fish (e.g., Capoccioni et al., 2021; Parzanini et al., 2021). To date, determining the relationships of SI values between different fish tissues and how these tissues can be applied in non‐lethal sampling programmes has mainly focused on species of the Salmonidae and Cyprinidae families (e.g., Busst et al., 2015; Church et al., 2009). Despite their imperilled status, no similar relationships are currently available for Anguillids. Consequently, the aim here was to determine how fin and mucus samples could be used to replace dorsal muscle samples in the SIA of eels. This was completed by sampling juvenile A. anguilla (n = 43) from a side‐stream located on the lower reaches of the River Frome (51° 20′ 21″N; 2° 17′ 44″W; n = 19) and from an elver pass on the River Piddle (50° 40′ 59”N; −2°03′60” W; n = 24), Southern England, in April 2021 (Table 1). Note these two rivers drain into the same location within Poole Harbour and have similar physical and chemical characteristics (Humphreys & May, 2005). The River Frome was sampled by back‐mounted electric fishing (SmithRoot LR24) and the River Piddle using a trap operated over 24 h periods on an existing elver pass.
TABLE 1

Sample size and mean and range as minimum (“min”) and maximum (“max”) of total length (“length”), δ13C (following mathematical lipid normalisation) and δ15N for fin, dorsal muscle (“muscle”) and mucus of the samples of Anguilla anguilla

Tissue comparison n Mean length ± 95% c.i. (min, max) (mm)TissueMean δ13C ± 95% c.i. (min, max) (‰)Mean δ15N ± 95% c.i. (min, max) (‰)
Muscle/mucus43116 ± 17 (67, 320)Muscle−29.1 ± 1.8 (−33.5, −20.9)11.0 ± 1.1 (5.8, 13.2)
Mucus−29.0 ± 1.7 (−32.1–20.8)11.3 ± 1.2 (5.3, 13.7)
Muscle/fin6232 ± 49 (147, 320)Muscle−29.2 ± 1.5 (−31.6, −26.6)12.3 ± 0.8 (10.4, 13.2)
Fin−29.1 ± 1.4 (−31.6, −26.8)12.6 ± 0.7 (11.0, 13.5)
Sample size and mean and range as minimum (“min”) and maximum (“max”) of total length (“length”), δ13C (following mathematical lipid normalisation) and δ15N for fin, dorsal muscle (“muscle”) and mucus of the samples of Anguilla anguilla A sub‐sample of eels from both locations was euthanised (anaesthetic overdose, MS‐222), with individual eels placed into plastic sample bags and taken to the laboratory. There, each eel was measured [total length (TL), nearest millimetre] before a sample of dorsal muscle was excised from all individuals, and a fin sample was taken from all those >146 mm TL (fin tissue was not collected from eels <146 mm TL due to the limited fin tissue available on these individuals). A sample of epidermal mucus was then collected using a single‐use, sterile cover slip and running it lightly along the length of one side of the eel, with this capturing sufficient mucus on the cover slip for SIA, and with no further treatment of this mucus sample other than its transfer to an individual sample tube (Winter et al., 2019a, 2019b; Winter & Britton, 2021). All muscle, fin and mucus samples were then dried to constant weight (60°C for 48 h), before being bulk analysed for δ13C and δ15N in a Thermo Delta V isotope ratio mass spectrometer (Thermo Scientific, Waltham, MA, USA) interfaced to a NC2500 elemental analyser (CE Elantach Inc., Lake‐ wood, NJ, USA). Analytical precision of the δ13C and δ15N sample runs was estimated against an internal standard sample of an animal (deer) material every 10 samples, with the overall standard deviation estimated at 0.08 and 0.04 ‰ respectively. The C:N ratios of the samples varied according to tissue type, with the greatest range in dorsal muscle [3.40 to 5.01; mean (± 95% c.i.) 3.89 ± 0.28] and then fin (3.64 to 4.89; mean 4.12 ± 0.36), whereas mucus C:N ratios were comparatively low (3.56 to 3.84; mean 3.67 ± 0.06). Post et al. (2007) reported strong relationships between lipid content of tissues and both C:N ratios and δ13C, and suggested that lipid normalisation is important when lipid content is variable among consumer species. Nonetheless, relatively high and variable C:N ratios in fin tissues can be from the complex matrix of epidermal tissue and fin rays present in the analysed material (Hayden et al., 2015). Correspondingly, although the δ13C data were mathematically lipid normalised for further analyses, these analyses were also completed using the non‐normalised data and are provided in Supporting Information Tables TABLE S1 and TABLE S2 and Figure FIGURE S1). The δ13C values were then mathematically normalised for lipid using the equation of Kiljunen et al. (2006); all reported analyses on δ13C hereafter use these lipid normalised values. The distributions of δ13C and δ15N were non‐normal (Shapiro–Wilk test, P < 0.05), and so differences in the SI values between muscle and fin, and muscle and mucus, were tested in paired Wilcoxon tests. These revealed that differences in SI values between these tissues were not significant (muscle vs. mucus: δ13C: P = 0.94, δ15N, P = 0.22; muscle vs. fin: δ13C: P = 0.87, δ15N, P = 0.58). When tested in linear regression, these relationships were all highly significant (P < 0.01; Table 2), with the 95% confidence limits of these regression relationships all overlapping the line of equality, suggesting differences were not significant (Figure 1). Nonetheless, the extent of overlap in confidence limits for the relationship of muscle vs. fin for δ15N was relatively minor, with a general pattern of enriched values of δ15N in the fin tissues (Figure 1d). A correction factor (CF) of the difference in the mean values of these tissues can thus be considered for converting fin δ15N to muscle δ15N values (CF = −0.33; Table 2).
TABLE 2

Linear regression statistics for the relationship between muscle stable isotope values [as δ13C (lipid normalised) and δ15N] and those of fin and mucus for Anguilla anguilla

Stable isotopeTissue n SlopeInterceptFR2 P
δ13CFin6−1.900.93106.20.96<0.001
Mucus43−1.100.96529.80.92<0.001
δ15NFin61.780.88106.50.95<0.001
Mucus430.290.99132.90.76<0.001
FIGURE 1

Relationships between lipid normalised δ13C (left) and δ15N (right) isotope signatures of muscle and mucus (a–b), and fin (c–d) in Anguilla anguilla. Bold lines indicate the line of equality, dashed lines represent the significant relationship of the variables according to linear regression (P < 0.01) and grey shading represents the 95% confidence limits of these linear relationships

Linear regression statistics for the relationship between muscle stable isotope values [as δ13C (lipid normalised) and δ15N] and those of fin and mucus for Anguilla anguilla Relationships between lipid normalised δ13C (left) and δ15N (right) isotope signatures of muscle and mucus (a–b), and fin (c–d) in Anguilla anguilla. Bold lines indicate the line of equality, dashed lines represent the significant relationship of the variables according to linear regression (P < 0.01) and grey shading represents the 95% confidence limits of these linear relationships These results demonstrate that epidermal mucus samples provide reliable and non‐lethal alternatives to the use of dorsal muscle and provide preliminary findings that fin could also be used as a non‐lethal alternative in larger individuals in SIA studies of A. anguilla. Furthermore, SI data can be compared directly between mucus and muscle without the requirement for correction factors to be applied. This is in contrast to most other fish species, such as Northern pike Esox lucius (Winter et al., 2019a) and common carp Cyprinus carpio, where the use of correction factors is often required due to predictable patterns in SI enrichment between muscle, fin and scales, with mucus samples often being depleted in their SI values (e.g., Winter et al., 2019b, Winter & Britton, 2021). Although it is recommended that a correction factor may be required when converting fin δ15N to muscle δ15N values, the small sample size (n = 6) means this should be used with caution. The sample size of muscle vs. fin tissues was limited to six eels here to minimise the number of larger individuals (>146 mm) that were euthanised. Although larger sample sizes of smaller individuals were used for testing muscle vs. mucus data, the abundance of these smaller eels remained relatively high in samples collected at both sites in subsequent weeks. For example, high numbers (>900) of elvers and yellow eels were captured in 24 h samples recorded from the elver trap on the River Piddle throughout May and June (the authors, unpubl. data). These trends suggest that the lethal sampling of these smaller eels conducted for this study did not impact their local abundances. If mucus is to be used in future eel SI studies, then its faster SI turnover rate compared with both muscle and fin needs to be considered in both sampling design and evaluation (Winter et al., 2019b; Winter & Britton, 2021). Here, sampling was completed in April, based on a priori assumptions that the eel tissues were still in isotopic equilibrium with their long‐term diets. Therefore, glass eel/elvers that had only just entered fresh water were sampled, as these would provide individuals whose tissue isotope values would be largely marine based. Larger eels that had already settled in fresh water were also sampled as these would provide individuals whose tissue isotope values would still be in isotopic equilibrium with their diet from the previous summer/autumn periods, given the inactivity of eels in fresh water in cooler temperatures with minimal somatic body growth until water temperatures exceed 16°C (Vaughan et al., 2021). Thus, the SI relationships between the sampled tissues were considered as reflecting their actual patterns, with minimal influence of recent dietary changes affecting these. Nevertheless, knowledge on the isotopic turnover rates of δ13C and δ15N in Anguillid tissues remains highly limited and so it is recommended that these knowledge gaps are addressed if the full benefits of using non‐lethal tissue sampling in future SIA studies are to be realised. To date, approximately half of all other Anguillid eel species are listed as vulnerable, endangered or critically endangered on the IUCN Red List (Itakura et al., 2019). As the SIA continues to be applied to studies on the ecology and conservation of these threatened species, the application of non‐lethal sampling via fin and/or mucus is thus encouraged wherever possible to avoid impacting their populations any further.

CONFLICTS OF INTEREST

The authors declare that they are not aware of any competing interests.

AUTHOR CONTRIBUTIONS

All authors were involved in the conceptualisation of the study, and in writing and editing the manuscript. R.M.B., J.R.B. and A.C.P. completed all sampling, and R.M.B. completed all data analyses and evaluation.

ETHICAL STATEMENT

The study was completed following the gaining of all relevant ethical and legislative approvals (UK Home Office Project Licence P47216841; Environment Agency permit reference EP/EW027‐C‐042/19919/01). FIGURE S1 Relationships between non‐corrected δ13C (left) and δ15N (right) isotope signatures of muscle and mucus (A–B), and fin (C–D) in Anguilla anguilla. Bold lines indicate the line of equality, dashed lines represent the significant relationship of the variables according to linear regression (P < 0.01) and grey shading represents the 95% confidence limits of these linear relationships. Click here for additional data file. TABLE S1 Sample size and mean and range (as minimum (“min”) and maximum (“max”) of total length (“length”), δ13C (non‐corrected) and δ15N for fin, dorsal muscle (“muscle”) and mucus of the samples of Anguilla anguilla Click here for additional data file. TABLE S2 Linear regression statistics for the relationship between muscle stable isotope values [as δ13C (non‐corrected) and δ15N] and those of fin and mucus for Anguilla anguilla. Click here for additional data file.
  11 in total

1.  Stable isotope signatures and trophic-step fractionation factors of fish tissues collected as non-lethal surrogates of dorsal muscle.

Authors:  Georgina M A Busst; Tea Bašić; J Robert Britton
Journal:  Rapid Commun Mass Spectrom       Date:  2015-08-30       Impact factor: 2.419

2.  Using stable isotope analysis with telemetry or mark-recapture data to identify fish movement and foraging.

Authors:  R A Cunjak; J-M Roussel; M A Gray; J P Dietrich; D F Cartwright; K R Munkittrick; T D Jardine
Journal:  Oecologia       Date:  2005-06-16       Impact factor: 3.225

Review 3.  Identifying migrations in marine fishes through stable-isotope analysis.

Authors:  C N Trueman; K M MacKenzie; M R Palmer
Journal:  J Fish Biol       Date:  2012-07       Impact factor: 2.051

4.  Non-lethal sampling for stable isotope analysis of pike Esox lucius: how mucus, scale and fin tissue compare to muscle.

Authors:  Emily R Winter; Marina Nyqvist; J Robert Britton
Journal:  J Fish Biol       Date:  2019-06-10       Impact factor: 2.051

5.  Fitness consequences of individual specialisation in resource use and trophic morphology in European eels.

Authors:  Julien Cucherousset; Anthony Acou; Simon Blanchet; J Robert Britton; William R C Beaumont; Rodolphe E Gozlan
Journal:  Oecologia       Date:  2011-04-01       Impact factor: 3.225

6.  Stable isotope analyses provide new insights into ecological plasticity in a mixohaline population of European eel.

Authors:  Chris Harrod; Jonathan Grey; T Kieran McCarthy; Michelle Morrissey
Journal:  Oecologia       Date:  2005-07-16       Impact factor: 3.225

7.  Season and species influence stable isotope ratios between lethally and non-lethally sampled tissues in freshwater fish.

Authors:  Karling N Roberts; Taylor Lund; Brian Hayden; Mark Poesch
Journal:  J Fish Biol       Date:  2021-11-23       Impact factor: 2.051

8.  Getting to the fat of the matter: models, methods and assumptions for dealing with lipids in stable isotope analyses.

Authors:  David M Post; Craig A Layman; D Albrey Arrington; Gaku Takimoto; John Quattrochi; Carman G Montaña
Journal:  Oecologia       Date:  2007-01-16       Impact factor: 3.298

9.  Application of nitrogen and carbon stable isotopes (δ(15)N and δ(13)C) to quantify food chain length and trophic structure.

Authors:  Matthew J Perkins; Robbie A McDonald; F J Frank van Veen; Simon D Kelly; Gareth Rees; Stuart Bearhop
Journal:  PLoS One       Date:  2014-03-27       Impact factor: 3.240

10.  Non-lethal sampling for the stable isotope analysis of the critically endangered European eel Anguilla anguilla: how fin and mucus compare to dorsal muscle.

Authors:  Rose M Boardman; Adrian C Pinder; Adam T Piper; Catherine Gutmann Roberts; Rosalind M Wright; J Robert Britton
Journal:  J Fish Biol       Date:  2022-02-09       Impact factor: 2.504

View more
  2 in total

1.  Non-lethal sampling for the stable isotope analysis of the critically endangered European eel Anguilla anguilla: how fin and mucus compare to dorsal muscle.

Authors:  Rose M Boardman; Adrian C Pinder; Adam T Piper; Catherine Gutmann Roberts; Rosalind M Wright; J Robert Britton
Journal:  J Fish Biol       Date:  2022-02-09       Impact factor: 2.504

2.  New insights into detecting alizarin from autofluorescence in marked glass eels.

Authors:  Mélanie Gaillard; Edith Parlanti; Mahaut Sourzac; Franck Couillaud; Coralie Genevois; Sébastien Boutry; Christian Rigaud; Françoise Daverat
Journal:  Sci Rep       Date:  2022-09-26       Impact factor: 4.996

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.