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Patterns and processes influencing helminth parasites of Arctic coastal communities during climate change

Published online by Cambridge University Press:  22 March 2017

K.V. Galaktionov*
Affiliation:
Zoological Institute, Russian Academy of Sciences, St. Petersburg 199034, RussiaDepartment of Invertebrate Zoology, St. Petersburg State University, St. Petersburg 199034, Russia
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Abstract

This review analyses the scarce available data on biodiversity and transmission of helminths in Arctic coastal ecosystems and the potential impact of climate changes on them. The focus is on the helminths of seabirds, dominant parasites in coastal ecosystems. Their fauna in the Arctic is depauperate because of the lack of suitable intermediate hosts and unfavourable conditions for species with free-living larvae. An increasing proportion of crustaceans in the diet of Arctic seabirds would result in a higher infection intensity of cestodes and acanthocephalans, and may also promote the infection of seabirds with non-specific helminths. In this way, the latter may find favourable conditions for colonization of new hosts. Climate changes may alter the composition of the helminth fauna, their infection levels in hosts and ways of transmission in coastal communities. Immigration of boreal invertebrates and fish into Arctic seas may allow the circulation of helminths using them as intermediate hosts. Changing migratory routes of animals would alter the distribution of their parasites, facilitating, in particular, their trans-Arctic transfer. Prolongation of the seasonal ‘transmission window’ may increase the parasitic load on host populations. Changes in Arctic marine food webs would have an overriding influence on the helminths’ circulation. This process may be influenced by the predicted decreased of salinity in Arctic seas, increased storm activity, coastal erosion, ocean acidification, decline of Arctic ice, etc. Greater parasitological research efforts are needed to assess the influence of factors related to Arctic climate change on the transmission of helminths.

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Special Issue Articles
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Copyright © Cambridge University Press 2017 
Figure 0

Fig. 1.Dependence of the number of parasite species (N) on the average annual surface seawater temperature (t, °C). A logistic regression model was used to construct the trend line [N = 1/(1 + e^(a + bt)) + c] since the dependence was non-linear (as indicated by a preliminary analysis of residuals of linear regression) and limited ‘above’ and ‘below’ by the tolerance temperature range of the host and/or the range of temperatures in which the life cycle of the parasite may be implemented. Numbers in the graph denote the number of birds examined in each of the regions. (Based on data in Markov (1937, 1941), Belopolskaya (1952), Threlfall (1971), Bishop & Threlfall (1974), Persson et al. (1974), Galaktionov et al. (1993), Galaktionov (1996a), Kuklin (2001), Borgsteede et al. (2005), Kuklin & Kuklina (2005), Kuklin et al. (2005), Skírnisson (2015) and our data.) (a) Thick-billed murre (Uria lomvia; ×, ––); black-legged kittiwake (Rissa tridactyla; triangles, – –); glaucous gull (Larus hyperboreus; diamonds, .. …..); (b) common eider (Somateria mollissima): open squares (––), all helminth parasites; closed squares (– –), trematodes. FJL, Franz Josef Land; IC, Iceland; NE, The Netherlands; N&L, Newfoundland and Labrador; NZ, Novaya Zemlya; SEBS, south-east of the Barents Sea; SP, Spitsbergen; SW, Sweden; VA, Vaygach Island. Average annual surface seawater temperature (SST-AA) values: here and in fig. 2 SST-AA values were taken from the following sources. For different regions of the Barents Sea (FJL, NZ, SEBS, SP, south-west of the Barents Sea (SWBS), VA) values were taken from Tereschenko et al. (1985), Averintsev (1989), Loeng et al. (1992), Węsławski & Stempiewicz (1995), Adrov & Denisenko (1996) and Denisenko (2013), for the White Sea (WS) they were taken from Babkov (1998) and for other regions, from the website World Seawater Temperatures (https://www.seatemperature.org)/

Figure 1

Fig. 2.Dependence of the number of trematode species (N) associated with intertidal molluscs Littorina spp. (open squares, –––) and Hydrobia spp. (triangles, – –) in different parts of the European seacoast on the average annual surface seawater temperature (SST-AA). A logistic regression model was used to construct the trend line (N = 1/(1 + e^(a + bt)) + c) (see legend to fig. 1). The number of molluscs examined in each of the regions was more than 1000. (Based on data in Chubrik (1966), James (1968a, b, 1969), Combescot-Lang (1976), Podlipaev (1979), Lauckner (1980), Deblock (1980), Irwin (1983), Matthews et al. (1985), Galaktionov & Bustnes (1999); Galaktionov & Skírnisson (2000), Skírnisson & Galaktionov (2002, 2014), Skírnisson et al. (2004), Thieltges et al. (2009) and our data.) ACF, Atlantic coast of France; BI, British Isles; CS, Celtic Sea; BS, Baltic Sea; NS, North Sea; IC, Iceland; SEBS, south-east of the Barents Sea; SWBS, south-west of the Barents Sea; VA, Vaygach Island; WS, White Sea.

Figure 2

Fig. 3.Distribution of intramolluscan stages of trematodes parasitizing seabirds in periwinkles Littorina (Neritrema) spp. along the southern coast of the Barents Sea (based on data in Galaktionov & Bustnes, 1999). Error bars are confidence intervals. The number of periwinkles examined in each of the regions was in the range of 1500–10,000. (a) The distribution of sampling stations; (b) frequency of occurrence of trematodes with two-host life cycles (predominantly MPG) as a function of longitude; (c) prevalence of trematodes with two-host life cycles as a function of longitude; (d) prevalence of trematodes with three-host life cycles as a function of longitude.

Figure 3

Fig. 4.Flowchart summarizing circulation and transmission dynamics of the acanthocephalan Polymorphus phippsi at Franz Josef Land (modified from Galaktionov & Atrashkevich, 2015). The study area (vicinity of the islands Hooker, May and Etteridge) is marked with a red oval; all numbers are proportions.

Figure 4

Fig. 5.Bayesian inference phylogram of microphallids of the ‘pygmaeus’ group (MPG) derived from internal transcribed spacer 1 (ITS1) rRNA gene sequences with posterior probability and bootstrap percentage values above and below, respectively, within ellipses (modified from Galaktionov et al., 2012). Black dots indicate adult specimens sequenced, whereas white dots indicate sporocysts or metacercariae stages sequenced. The main final hosts for each MPG species are indicated by the sign of the corresponding bird (gull or eider). Range of MPG species is indicated by letters (NA, North Atlantic; NP, North Pacific; T-A, transarctic).

Figure 5

Fig. 6.Daily cercarial output (DCO) (number cercariae/snail per day; N) of trematode species parasitizing intertidal snails in the White Sea and the Barents Sea (molluscan species are indicated in parentheses) as a function of cercarial size (cercarial volume, mm3; VC) and snail host size (shell volume, mm3; VS). The set of expected (line) and observed values (dots with bars; bars mark 95% confidence intervals) of DCO is arranged in the order of ascending expected DCO value (based on data in Prokofiev et al., 2016). The trematode species mentioned in the text are indicated by red ovals. Trematode species: Paramonostomum anatis, Himasthla continua, H. elongata, Renicola roscovita, R. thaidus, Maritrema subdolum, Microphallus claviformis, M. similis and Cryptocotyle lingua. Molluscan host species: Littorina littorea, L. saxatilis, Hydrobia ulvae, H. ventrosa and Nucella lapillus. BS, Barents Sea; WS, White Sea.

Figure 6

Fig. 7.Daily emergency rhythm of cercariae of (a) Renicola roscovita from the White Sea periwinkle Littorina littorea (the water temperature during observations was 15.5 ± 0.5°C (13–20°C)) and (b) Renicola thaidus from the Barents Sea dog whelk Nucella lapillus (the water temperature during observations was 9.7 ± 0.4°C (8–12°C)) (data obtained from in situ experiments described in Prokofiev et al., 2016). –––, Average number of emerged cercariae per snail (confidence intervals are indicated); - - -, light intensity, lux; ….., average water temperature, °C.

Figure 7

Fig. 8.The general trend in long-term emergence dynamics of ‘psychrophilic’ cercariae of Cryptocotyle concava (a) and ‘thermophilic’ cercariae of Himasthla continua (b) from the White Sea mudsnail Hydrobia ulvae, extracted by singular spectral analysis (for description of the method see Prokofiev et al., 2016). Based on the original data obtained from a 37-day-long laboratory experiment under different constant temperatures: ––––, 10°C; - - -, 5°C; ……, 3°C. The confidence intervals are indicated.

Figure 8

Table 1.Stressors related to climate change and their possible impact on helminth (mostly trematode) transmission in Arctic coastal ecosystems.