Literature DB >> 31662685

Prevalence and Intensity of Cornudiscoides Agarwali (Monogenoidea) on the Gills of Day's Mystus (Mystus Bleekeri) in Relation to Some Ecological and Biological Factors from Arunachal Pradesh, India.

A Tripathi1, L Wangchu2, A K Trivedi3.   

Abstract

This work investigated the relationship of host size, seasons, and water quality parameters with the prevalence and intensity of Cornudiscoides agarwali on Mystus bleekeri collected from the Dikrong River in Arunachal Pradesh, India from February 2016 to January 2017. A total of 2760 specimens of C. agarwali were recovered from 114 individuals of M. bleekeri. The levels of mean intensity, but not the prevalence, of infection of C. agarwali were positively correlated with fish host size, peaking in the largest size class (45.20 ± 5.69 parasites/fi sh). The prevalence values had a statistically significant seasonal trend, reaching highest (100 %) during the pre-monsoon season, followed by 91.8% during the post-monsoon period and 87.5 % during the monsoon season. The levels of mean intensity of infection were also dependent on the seasons, reaching significantly higher levels during the pre-monsoon season (42.75 ± 4.18 parasites/fi sh). All water quality parameters measured were within the safety value recommended for freshwater aquaculture. Cornudiscoides agarwali maintained its prevalence above 87.5 % throughout the annual cycle, which means it was able to reproduce year-round in a non-polluted river. This could be an indication of monogenoidean community and population dynamics thriving best under optimum water quality parameters. Also, this article draws the attention of parasitologists and ichthyologists to a taxonomic problem of the misidentification of Mystus spp., and therefore, possibly of their parasitic monogenoids.
© 2019 A. Tripathi, L. Wangchu, A. K. Trivedi, published by Sciendo.

Entities:  

Keywords:  28S rRNA; Cornudiscoides agarwali; Monogenoidea; Mystus bleekeri; host size; season

Year:  2019        PMID: 31662685      PMCID: PMC6799562          DOI: 10.2478/helm-2019-0005

Source DB:  PubMed          Journal:  Helminthologia        ISSN: 0440-6605            Impact factor:   1.184


Introduction

Fish diseases, especially those caused by parasitic monogenoids (Platyhelminthes), are one of the most important factors that threaten fish culture and fish farming globally (Thoney & Hargis, 1991). Monogenoids are very diverse ectoparasites, with more than 10,000 extant species distributed across the globe (as cited in Tripathi, 2014) and about 300 from India (Pandey & Agrawal, 2008). Arunachal Pradesh, located in the extreme northeast corner of India, has been identified as a major hotspot for freshwater fish biodiversity in the world (Kottelat & Whitten, 1996), boasting no fewer than 213 recorded species of fish (Bagra et al., 2009). Although only eight monogenoid species have been described/ recorded from Arunachal Pradesh to date (Wangchu et al., 2017), more than 128 species have been identified from 55 species of sampled fish, giving an average infection of 2.32 monogenoids per infected host fish species (Tripathi: unpublished data). Day’s mystus (Mystus bleekeri) (Siluriformes: Bagridae) is a commercially important indigenous freshwater potamodromous fish species, which commonly inhabits the rivers and lakes of several Asian countries, including Bangladesh, Bhutan, India, Indonesia, Myanmar, Nepal, and Pakistan (Froese & Pauly, 2018). In India, this species is known from the Brahmaputra-Ganges system and Indus and Mahanadi River drainages, where it is targeted as a food fish besides being exported as an ornamental fish (Ng, 2010). Despite the known importance of M. bleekeri, there is insufficient information regarding the distribution, biology, and potential threats for this species, including parasites (see Froese & Pauly, 2018). Only three species of helminth parasites (all monogenoids) have been recorded from M. bleekeri: Cornudiscoides bleekerai Agrawal and Vishwakarma, 1996, C. gussevi Agrawal and Vishwakarma, 1996, and C. susanae Agrawal and Vishwakarma, 1996 (Lim et al., 2001). Moreover, there is a complete lack of epidemiological data on the prevalence and intensity of parasites of M. bleekeri in relation to ecological and biological factors, which may hamper control interventions. Thus, we aimed to fill these knowledge gaps by determining the prevalence and intensity of monogenoids from M. bleekeri in relation to host size, season, and water quality parameters of the Dikrong River in Arunachal Pradesh, India.

Materials and Methods

Study area and host sampling

This study was conducted from February 2016 to January 2017 in the Dikrong River, a perennial tributary of the Brahmaputra River in western Arunachal Pradesh, India (27°6’N; 93°37’E) (Fig. 1). This river is approximately 145 km long (Huda, 2017) and has a catchment area of about 1,556 sq. km (Pandey et al., 2008). A total of 114 live specimens of M. bleekeri were collected using various local fishing nets and gears (see Chetry et al., 2012 for details) at monthly intervals from a single site to control for climatological conditions. Identification of fish specimens as M. bleekeri followed the taxonomic keys recommended by FishBase (Froese and Pauly 2017) and Jayaram (1999). They were immediately transferred to the research laboratory at Rajiv Gandhi University, Itanagar, where they were maintained in glass aquaria conditions, unless sacrificed, usually within 24 hours of collection, by anaesthetizing and then pithing. All fish specimens were measured (fork length, in cm) and classed into three length classes: 4.1 – 6 cm, 6.1 – 8 cm, and 8.1 – 10 cm to determine whether a correlation existed between fish length and infection level.
Fig. 1

The map of collection site of Mystus bleekeri in Arunachal Pradesh, India (satellite image from Google Earth™).

The map of collection site of Mystus bleekeri in Arunachal Pradesh, India (satellite image from Google Earth™).

Water sampling and laboratory analysis

Water samples were collected monthly at the same time and place as host fish and were analysed according to American Public Health Association standards (APHA, 1998) for dissolved oxygen, Free CO2, Alkalinity, and pH. The surface water temperature was measured using an infrared thermometer (Mextex DT-8811). A one-year cycle was divided into three seasons (modified from Deka et al., 2015) – namely, pre-monsoon (February to May), monsoon (June to September), and post-monsoon (October to January).

Parasite sampling

Gills were dissected out and placed in petri dishes and examined for the presence and quantification of monogenoids under a dissecting microscope (Leica© EZ 4HD). Worms were picked off the gills using fine needles and then identified by a light microscope equipped with phase contrast optics using identification keys provided by Gussev (1976). After identification, some of the worms were fixed in 4 % formalin (for morphological studies) and others in absolute ethanol (for molecular studies). Temporary mounts were prepared by clearing and mounting the worms in glycerin for studying their sclerotized body parts; permanent mounts were made by staining and mounting the worms in Canada balsam according to the procedures recommended by Kritsky et al. (1986) for studying the soft body parts. The mounted parasites were photographed with a digital camera (Leica DFC450 C) attached to a Leica DM3000 light microscope. Voucher specimens were deposited in the British Natural History Museum, UK (NHMUK 2018.12.18.1).

DNA extraction, PCR, and sequencing

For molecular identification of parasite species, genomic DNA was extracted (from 52 adult worms fixed in 100 % ethanol) and 28S rDNA sequence was amplified following recent useful protocols (Tripathi et al. 2014; Choudhary et al. 2017). Sequencing was carried out by the commercial sequencing company (Xcelris Labs Limited, India) using the primers applied for PCR. The generated sequence (GenBank accession number MG832102.1) was subjected to BLAST (Basic Local Alignment Search Tool) analysis for homology search.

Statistical analysis

The infection variables studied were prevalence (percentage of infected hosts in a sample) and mean intensity (mean number of parasites per infected host in a sample), which were calculated according to Bush et al. (1997). The standard deviation was calculated using Microsoft Excel (Office 2010). Fisher exact test was used for testing differences in prevalence values between the seasons. Kruskal-Wallis (K-W) ANOVA test was used for comparing the variations in the mean intensity of parasites for the seasons and host fish size. Pearson’s correlation test was used to measure the correlation between mean intensity of infection and host fish size. All statistical calculations and graphs were made in the GraphPad Prism software (version 6). Confidence limits (P –values) were set at 95 %.

Ethical Approval and/or Informed Consent

The research related to animal use has been complied with all the relevant institutional policies for the care and use of animals.

Results

114 individuals of M. bleekeri (Fig. 2) were collected from February 2016 to January 2017 in the Dikrong River in western Arunachal Pradesh, northeast India. Upon the parasitological analysis of collected samples, two monogenoid species were found and identified using morphological characters: Cornudiscoides agarwali Agrawal and Vishwakarma, 1996 (Fig. 3) and Cornudiscoides n. sp. Of these two species, only C. agarwali was found infesting throughout the investigation period covering all host sizes and seasons, and hence, it was the subject of the current investigation. Of the 114 specimens of M. bleekeri examined, 106 were found to be infested with 2760 individuals of C. agarwali with overall prevalence and mean intensity values of 92.98 % and 26.03 ± 4.43, respectively. The results of molecular analysis showed that the 28S rRNA gene sequence for C. agarwali from the present study (accession MG832102.1) was most closely related to C. agarwali from northern India (query cover 95 %, E value 0, max identity 92 %, accession KU208071.1, and query cover 25 %, E value 5e-84, max identity 98 %, accession KU208072.1).
Fig. 2

Photomicrograph of an individual of Mystus bleekeri (not drawn to scale). Photo by Leki Wangchu.

Fig. 3

Montage of Cornudiscoides agarwali recovered from Mystus bleekeri. (a) An individual worm, dorsal view. (b) Haptor armed with sclerotized structures: anchors, bars and hooks. (c) Copulatory complex. (d) Original figures of Cornudiscoides agarwali by Agrawal and Vishwakarma (1996). Scale bar: 100 μm for 3a, 20 μm for 3b and 5 μm for 3c. Photo (a, b, and c) by Amit Tripathi.

Photomicrograph of an individual of Mystus bleekeri (not drawn to scale). Photo by Leki Wangchu. Montage of Cornudiscoides agarwali recovered from Mystus bleekeri. (a) An individual worm, dorsal view. (b) Haptor armed with sclerotized structures: anchors, bars and hooks. (c) Copulatory complex. (d) Original figures of Cornudiscoides agarwali by Agrawal and Vishwakarma (1996). Scale bar: 100 μm for 3a, 20 μm for 3b and 5 μm for 3c. Photo (a, b, and c) by Amit Tripathi.

Size classes of the host fish and the distribution of population of C. agarwali

The prevalence levels of C. agarwali were almost similar, at 93.10 %, 92.59 %, and 93.54 % in the three host fish size classes of 4.1 – 6 cm, 6.1 – 8 cm, and 8.1 – 10 cm, respectively (Table 1). The mean intensity was, however, highest in the fish of class III (8.1 – 10 cm) (45.20 ± 5.69 parasites/fish), followed by class II (6.1 – 8 cm) (19.36 ± 2.42 parasites/fish) and class I (4.1 – 6 cm) (17.81 ± 3.02 parasites/fish) (Table 1). The Kruskal-Wallis test revealed a significant variance in the mean intensity of infection between class I (4.1 – 6 cm) and class III (8.1 – 10 cm) (P<0.0001) and between class II (6.1 – 8 cm) and class III (8.1 – 10 cm) (P<0.0001); there was no difference between class I (4.1 – 6 cm) and class II (6.1 – 8 cm). Bonferroni post hoc test indicated that the mean intensity was significantly higher (P<0.05) in class III in comparison to class I and II. Pearson’s correlation also suggested a positive correlation (r=0.12, P=0.0002; n=114) between mean intensity of parasite infection and host size.
Table 1

Prevalence and mean intensity of infection of Cornudiscoides agarwali from Mystus bleekeri in relation to host size.

Size classIIIIII
Length (cm)4.1-66.1-88.1-10
Fish screened295431
Fish find infected275029
No. of parasites recovered4819681311
Prevalence (%)93.10%92.59%93.54%
Mean intensity (SE)17.81 (3.02)19.36 (2.42)45.20 (5.69)
Prevalence and mean intensity of infection of Cornudiscoides agarwali from Mystus bleekeri in relation to host size.

Seasonal distribution of population of C. agarwali

The infestation of M. bleekeri with C. agarwali was found throughout the year though, with a definite seasonal effect. The prevalence was highest (100 %) during the pre-monsoon season, followed by 91.8 % during the post-monsoon period and 87.5 % during the monsoon season (Table 2). A Fisher’s exact test revealed that the differences in the prevalence of the monogenoids among the different seasons were significant (P<0.0001) (Fig. 4). Seasonal changes in the mean intensity also showed significant variations [F2,104=14.2, P<0.0001 (one way analysis of variance]. For all three class sizes, the mean intensity was lowest (16.42 ± 2.90 parasites/fish) during the monsoon season, followed by an increase (19.75 ± 3.32 parasites/fish) in the post-monsoon season, and the highest (42.75 ± 4.18 parasites/fish) during the pre-monsoon season (Table 2).
Table 2

Infection indices (in relation to three seasons and water quality parameters) of Cornudiscoides agarwali on Mystus beleekri from the Dikrong River, Arunachal Pradesh during 2016-2017 [DO= dissolved oxygen, Alk=Alkalinity, SWT=surface water temperature, FS=fish sampled, FI=fish infected, PR=parasites recovered, P=prevalence, MI=mean intensity].

SeasonsWater quality parametersHost size classes
Pre MonsoonDOAlkpHSWTCL-ICL-IICL-IIITotal
Feb7.547.137.122.7FS818733
March6.2527.225.2FI818733
April6.227.36.421PR2546904671411
May6.535.336.822P (%)100100100100
Mean6.640.446.8722.72MI31.7538.3377.8342.75
Monsoon
June6.827.67.224FS1014832
July7.731.66728FI812828
August8.2327.128.8PR9276292460
Sept7.843.337.425.7P (%)8085.7110087.50
Mean7.633.687.1726.62MI11.56.336.516.42
Post Monsoon
Oct6.933.666.621.3FS11221649
Nov631.337.415.8FI11201445
Dec6.222.337.916.8PR135202552889
Jan6.230.57.218P (%)10090.9087.591.8
Mean6.229.457.2717.85MI12.2710.139.4219.75
Figure 4

Left hand panel shows prevalence of parasites (a, b, c) and right hand panel shows mean intensity of parasites (d, e, f) during different seasons. Top panel shows prevalence and mean intensity during pre-monsoon (a, d), middle panel shows prevalence and mean intensity during monsoon (b, e), and bottom panel shows the prevalence and mean intensity during the post-monsoon season (c, f). * indicates significant difference (P < 0.05).

Left hand panel shows prevalence of parasites (a, b, c) and right hand panel shows mean intensity of parasites (d, e, f) during different seasons. Top panel shows prevalence and mean intensity during pre-monsoon (a, d), middle panel shows prevalence and mean intensity during monsoon (b, e), and bottom panel shows the prevalence and mean intensity during the post-monsoon season (c, f). * indicates significant difference (P < 0.05). Infection indices (in relation to three seasons and water quality parameters) of Cornudiscoides agarwali on Mystus beleekri from the Dikrong River, Arunachal Pradesh during 2016-2017 [DO= dissolved oxygen, Alk=Alkalinity, SWT=surface water temperature, FS=fish sampled, FI=fish infected, PR=parasites recovered, P=prevalence, MI=mean intensity].

Surface-water temperature

Surface-water temperature (°C) in the sampling area had a mean (± SE) of 22.4 ± 1.22 °C. The highest mean temperature was recorded in August (28.8 ± 0.38 °C) and the lowest in November (15.8 ± 0.07 °C). The highest mean intensity of C. agarwali was recorded during the pre-monsoon period (42.75 parasites/fish) when the surface-water temperature was 22.72 °C. Then, it rapidly declined during the monsoon period (16.42 parasites/fish) when the surface-water temperature increased to 26.62 °C. It increased slightly during the post-monsoon period (19.75 parasites/fish) when the surface-water temperature decreased to 17.85 °C (Fig. 5).
Fig. 5

Seasonal changes in the mean intensity of Cornudiscoides agarwali on the gills of Mystus bleekeri in relation to surface water temperature.

Seasonal changes in the mean intensity of Cornudiscoides agarwali on the gills of Mystus bleekeri in relation to surface water temperature.

Dissolved oxygen

Dissolved oxygen (DO) (mg/L) in the sampling area showed a mean (± SE) of 6.83 ± 0.22 mg/L. The highest DO mean value was recorded in August (8.2 ± 0.11) and lowest in October (6 ± 0.11). The mean intensity of infection was highest during the pre-monsoon period (42.75 parasites/fish) when the mean DO was 6.6 mg/L. It was followed by a rapid decline during the monsoon period (16.42 parasites/fish) when the mean DO increased to 7.62 mg/L. Then, it increased slightly during the post-monsoon period (19.75 parasites/fish) when the mean DO decreased to 6.27 mg/L (Fig. 6).
Fig. 6

Seasonal changes in the mean intensity of Cornudiscoides agarwali on the gills of Mystus bleekeri in relation to dissolved oxygen.

Seasonal changes in the mean intensity of Cornudiscoides agarwali on the gills of Mystus bleekeri in relation to dissolved oxygen.

Water pH

The pH in the sampling area showed a mean (± SE) of 7.10 ± 0.11. The highest pH mean value was recorded in December (7.9 ± 0.05), and lowest in April (6.4 ± 0.12). The mean intensity of infection was highest during the pre-monsoon period (42.75 parasites/fish) when the mean pH as 6.87. It was followed by a rapid decline during the monsoon period (16.42 parasites/fish) when the mean pH increased to 7.17. The mean intensity of infection then increased slightly (19.75 parasites/fish) during the post-monsoon period when the mean water pH also slightly increased to 7.27 (Fig. 7).
Fig. 7

Seasonal changes in the mean intensity of Cornudiscoides agarwali on the gills of Mystus bleekeri in relation to pH.

Seasonal changes in the mean intensity of Cornudiscoides agarwali on the gills of Mystus bleekeri in relation to pH.

Water alkalinity

Alkalinity (mg/L) in the area showed a mean (± SE) of 34.51 ± 2.51 mg/L. The highest mean alkalinity was recorded in February (52 ± 1.99) and the lowest in December (22.33 ± 0.95). The mean intensity of infection was highest during the pre-monsoon period (42.75 parasites/fish) when the mean alkalinity was around 40.44 mg/L. This was followed by a rapid decline during the monsoon period (16.42 parasites/fish) when the mean alkalinity decreased to 33.64 mg/L. However, the mean intensity of infection increased slightly during the post-monsoon period (19.75 parasites/fish) when the mean alkalinity further decreased to 29.45 mg/L (Fig. 8).
Fig. 8

Seasonal changes in the mean intensity of Cornudiscoides agarwali on the gills of Mystus bleekeri in relation to alkalinity.

Seasonal changes in the mean intensity of Cornudiscoides agarwali on the gills of Mystus bleekeri in relation to alkalinity.

Discussion

Given the high host specificity of monogenoids (Desdevises et al., 2002) it was highly improbable, though not impossible, that C. agarwali originally described from M. vittatus in northern India would infect specimens of M. bleekeri in Arunachal Pradesh in extreme northeast India. While the near identical morphometry of C. agarwali from Lucknow (1996) and Itanagar (this study) (Fig 3) strongly suggested that they are one and the same species, we were also sure that our identification of M. bleekeri was correct. We then attempted, therefore, to identify parasite species via PCR and DNA sequencing. The partial nucleotide sequence (892 bps) of the 28S rRNA gene of C. agarwali from the present study (accession MG832102.1) was characterized and compared with previously available Cornudiscoides species. The BLASTn search showed two entries that returned the same species name for 28S rRNA gene: accession KU208071.1 (query cover 95 %, E value 0, max identity 92 %) and accession KU208072.1 (query cover 25 %, E value 5e-84, max identity 98 %). On balance, these are inconclusive BLASTn results as to whether the worms in question are of same species-level taxon. A thorough search of the literature on the taxonomy and distribution of Mystus spp. suggests that this problem could be due to the misidentification of the Indian species of Mystus and, thus, their monogenoids. For example, despite the fact that M. tengara is a north Indian species (Jayaram & Sanyal 2003), Kulkarni (1969) described Cornudiscoides heterotylus, the type species of the genus, from M. tengara in Hyderabad (south India). Similarly, Agrawal and Vishwakarma (1996) described C. agarwali from M. vittatus in Lucknow (north India), although M. vittatus is a south Indian species. Likewise, Mystus keletius is confined to southern India, and possibly Sri Lanka, only (Dahanukar, 2011), yet M. keletius has been found in Bengal and north India (Johal & Tandon 1979; Jayaram & Sanyal 2003 and references therein). These taxonomic errors can be appreciated in the background of the fact that the identification of many species within the genus Mystus, which has traditionally been based on morphological features, is very difficult and confusing (Jayaram & Sanyal 2003; Singh et al.; 2013; Plamoottil, 2017) and their phylogeny is also unclear (Singh et al., 2013). For example, Jayaram and Sanyal (2003) noted that ‘M. vittatus and M. tengara are closely related and their exact identity has been in confusion’. Darshan et al. (2010) also pointed out that ‘several records of M. vittatus from northeast India and Gangetic basin (in northern India) were misidentifications of M. tengara’. In fact, M. vittatus may have been confused with many other Mystus species (Froese & Pauly 2018; Hossain, 2014). Similarly, the identity of Mystus nigriceps Valenciennes has also been the subject of much confusion among ichthyologists (Ng, 2002). In view of the high host specificity of monogenoids combined with the widespread confusion over the identity of Mystus spp., and the identical morphometry of C. agarwali from Lucknow (1996) and Itanagar (this study), we believe that Agrawal and Vishwakarma (1996) might have confused M. bleekeri with (and misidentified it as) M. vittatus. This explains the occurrence of C. agarwali in M. bleekeri in Arunachal Pradesh. However, examination of additional genes, probably more rapidly evolving markers such as Cox1, are necessary to confirm the validity of recognizing C. agarwali from northeast India and northern India. This is beyond the scope of this paper. With respect to host size, the prevalence levels of C. agarwali were 93.10 % in class I (4.1 – 6), 92.59 % in class II (6.1 – 8), and 93.54 % in class III (8.1 – 10). Clearly, prevalence values were not dependent on host size. The mean intensity levels, however, generally increased with host size and peaked in the largest class size (8.1 – 10), indicating that the size of the host fish is important in determining the parasitic load. Statistically, this trend was more distinct between sizes classes I (4.1 – 6) and III (8.1 – 10) and between size classes II (6.1 – 8) and III (8.1 – 10). Our findings are similar to those reported by Tombi et al. (2014), who found the highest mean intensity of Dactylogyrus amieti and Dogielius njinei in larger fish (> 7.5 cm). These results could well be a reflection of any one or even a combination of the following factors: (i) that larger host species live longer, and thus, represent a more predictable resource for a parasite (Peters, 1983); (ii) that the larger-bodied hosts may be easier to colonize because of their larger roaming ranges, or (being older), their longer time to have accumulated parasites (Poulin, 1998), and (iii) that larger hosts offer more vacant niches for greater abundance of parasitic monogenoids (Guegan et al 1992; Sasal et al., 1999). Cornudiscoides agarwali showed a seasonal variation in terms of prevalence, though the values remained above 87.5 % throughout the year, of course suggesting that the parasite reproduced around the year. On the other hand, the mean intensity values fluctuated for all the three class sizes from low (during the monsoon), to moderate (in the post-monsoon period), to high (in pre-monsoon period), generating a statistically significant seasonal cycle. We investigated the physical (temperature) and chemical (DO, pH, and alkalinity) properties of the river water with respect to the mean intensity values of C. agarwali to understand the seasonal relationship between the infestation of monogenoids and the water quality parameters. With respect to water temperature, the results indicated an inverse relationship between mean intensity and water temperature during monsoon and post-monsoon seasons, and a direct relationship during the pre-monsoon season. Many studies have indicated that high water temperature often increases monogenoids’ growth, reproduction, and egg hatching, facilitating the build-up of large populations (e.g., Hooglund & Thulin, 1989; Gannicott & Tinsley, 1998; Kim et al., 2001; Silan & Maillard, 1989). The direct relationship between mean intensity of infestation and the water temperature during the pre-monsoon season in this study supports this assumption, as did the findings of Anderson (1974) and Simkova et al. (2000). However, the inverse relationship found during the monsoon and post-monsoon seasons suggests that temperature alone may not be the only controlling factor in the population dynamics of C. agarwali. According to Marcogliese (2001) the low water levels and the subsequent low flow rates of water may promote the retention of free-swimming infective stages of complex life-cycle parasites. We suggest that the inverse relationship between C. agarwali and water temperature during the monsoon and post-monsoon seasons is actually a function of higher stream velocity, which may have swept away larvae (oncomiracidia) resulting in low recruitment. It is worth noting that an increase in velocity of Indian rivers due to heavy rainfall during the monsoon season is well documented (see Soni et al., 2014). This velocity increases even further in hill streams of Arunachal Pradesh (Mahanta et al., 2012) due to presence of steep slopes and the obstructions within the river beds. With respect to the dissolved oxygen, the results indicated an inverse relationship between mean intensity and dissolved oxygen during the monsoon and post-monsoon seasons but a direct relation during the pre-monsoon season. It is important to note that, throughout the year of investigation, the concentrations of dissolved oxygen were found to be within the recommended range for freshwater fish in the tropics (desired values of DO>5 mg/L) (Boyd, 1982; Wetzel, 1983). Seemingly, the dissolved oxygen, when present in its optimum value, had little or no significant influence over the monogenoids’ proliferation. The decrease in mean intensity of infestations during the monsoon and post-monsoon seasons was probably related to the higher stream velocity discussed above, and not to the dissolved oxygen. With respect to the pH, the results indicated an inverse relationship for the pre-monsoon and monsoon seasons but a direct relation for the post-monsoon season. In this study, the seasonal range of pH (from 6.8 to 7.2) remained within a narrow range, making it difficult to understand or predict its effect on the seasonal dynamics of C. agarwali. Moreover, the pH values observed were close to recommended values (7 – 8) (Boyd, 1982; Wetzel, 1983) for tropical aquaculture. From these facts one would expect that C. agarwali survives and reproduces best in water with a near-neutral pH value. With respect to water alkalinity, the results indicated a direct relationship between mean intensity and water alkalinity during the pre-monsoon and monsoon seasons but an inverse relationship during the post-monsoon season. The alkalinity is interdependent with other water quality parameters, especially pH. Since the observed pH values staryed within a narrow range across seasons, alkalinty did not seem to have any significant impact on the mean intensity of infection of C. agarwali. Moreover, the values of alkalinity were found to stay within the recommended range for freshwater catfish (>20 mg/l) throughout the annual cycle (Swann, 1997). Considerable work has been done on the interaction between water quality parameters and parasitism, concluding with three major and often contradictory predictions. The first conclusion is that pollutants may increase parasitism by reducing the immunological response of hosts (McDowell et al., 1999), including fish (Jokinen et al., 1995; Siddall et al., 1996), thus rendering them more susceptible to some parasites. The second conclusion is that pollutants can decrease parasitism by killing the parasites directly or by reducing the host density by causing differential mortality in infected hosts but not in uninfected fish (reviewed by Sures 2004). The third conclusion is that eutrophication may increase parasitism by increasing the abundance of their hosts (Beer & German, 1993) including fish (Valtonen et al., 1997) through nutrients-associated productivity. The river water in the Indian Himalayan region, spread across 11 states including Arunachal Pradesh, is generally free from pollution, since the industrial and domestic pollutants are minimal in this region (Semwal et al., 2006; National Commission on Farmers 2004). This is justified by the fact that mean values – as well as extreme values – of water quality parameters tested in this study were all within the desired values for tropical aquaculture (see above). Therefore, the fact that C. agarwali was found reproducing throughout the year (since it maintained its prevalence above 87.5 % throughout the year) in a non-polluted Dikrong River site indicates that the monogenoidean community and population dynamics thrives best under optimum water quality parameters. To confirm this, however, laboratory-based experimental studies are necessary to determine the tolerance of C. agarwali to pollutants.
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1.  Dactylogyridean monogeneans of the siluriform fishes of the Old World.

Authors:  L H Lim; T A Timofeeva; D I Gibson
Journal:  Syst Parasitol       Date:  2001-11       Impact factor: 1.431

Review 2.  Environmental parasitology: relevancy of parasites in monitoring environmental pollution.

Authors:  Bernd Sures
Journal:  Trends Parasitol       Date:  2004-04

3.  Co-existence of nine gill ectoparasites (Dactylogyrus: monogenea) parasitising the roach (Rutilus rutilus l.): history and present ecology.

Authors:  A Simková; Y Desdevises; M Gelnar; S Morand
Journal:  Int J Parasitol       Date:  2000-09       Impact factor: 3.981

4.  Parasitology meets ecology on its own terms: Margolis et al. revisited.

Authors:  A O Bush; K D Lafferty; J M Lotz; A W Shostak
Journal:  J Parasitol       Date:  1997-08       Impact factor: 1.276

5.  Can host body size explain the parasite species richness in tropical freshwater fishes?

Authors:  Jean-François Guégan; Alain Lambert; Christian Lévêque; Claude Combes; Louis Euzet
Journal:  Oecologia       Date:  1992-05       Impact factor: 3.225

6.  Subchronic effects of pulp and paper mill effluents on the immunoglobulin synthesis of roach, Rutilus rutilus.

Authors:  E I Jokinen; T M Aaltonen; E T Valtonen
Journal:  Ecotoxicol Environ Saf       Date:  1995-12       Impact factor: 6.291

7.  [The ecological prerequisites for a worsening of the cercariasis situation in the cities of Russia (exemplified by the Moscow region)].

Authors:  S A Beér; S M German
Journal:  Parazitologiia       Date:  1993 Nov-Dec

8.  CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice.

Authors:  J D Thompson; D G Higgins; T J Gibson
Journal:  Nucleic Acids Res       Date:  1994-11-11       Impact factor: 16.971

9.  Larval survival characteristics and behaviour of the gill monogenean Discocotyle sagittata.

Authors:  A M Gannicott; R C Tinsley
Journal:  Parasitology       Date:  1998-11       Impact factor: 3.234

10.  Dactylogyrus barnae sp. n. (Platyhelminthes: Monogenoidea) infecting gills of Barilius barna Hamilton, 1822 (Pisces: Cyprinidae) from a global biodiversity hotspot - Arunachal Pradesh (India).

Authors:  Leki Wangchu; Dobiam Narba; Michi Yassa; Amit Tripathi
Journal:  Vet World       Date:  2017-05-10
  10 in total
  1 in total

1.  First report on the diversity and distribution of parasitic monogenoids (Platyhelminthes) from catfishes (Siluriformes) in Arunachal Pradesh, India.

Authors:  Leki Wangchu; Dobiam Narba; Chawan Matey; Amit Tripathi
Journal:  J Parasit Dis       Date:  2021-09-12
  1 in total

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