Next Article in Journal
Transcriptomic Characterization of the South American Freshwater Stingray Potamotrygon motoro Venom Apparatus
Next Article in Special Issue
Lactobacillus bulgaricus or Lactobacillus rhamnosus Suppresses NF-κB Signaling Pathway and Protects against AFB1-Induced Hepatitis: A Novel Potential Preventive Strategy for Aflatoxicosis?
Previous Article in Journal
Pharmacological Targeting of Pore-Forming Toxins as Adjunctive Therapy for Invasive Bacterial Infection
Previous Article in Special Issue
Chestnut Drying Is Critical in Determining Aspergillus flavus Growth and Aflatoxin Contamination
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Occurrence and Levels of Aflatoxins in Fish Feeds and Their Potential Effects on Fish in Nyeri, Kenya

by
Evalyn Wanjiru Mwihia
1,2,3,*,
Paul Gichohi Mbuthia
3,
Gunnar Sundstøl Eriksen
4,
James K. Gathumbi
3,
Joyce G. Maina
5,
Stephen Mutoloki
6,
Robert Maina Waruiru
3,
Isaac Rumpel Mulei
2,3 and
Jan Ludvig Lyche
2,*
1
Department of Veterinary Pathology, Microbiology and Parasitology, Faculty of Veterinary Medicine and Surgery, Egerton University, P.O. Box 536, Egerton 20115, Kenya
2
Department of Food Safety and Infectious Biology, Faculty of Veterinary Medicine, Norwegian University of Life Sciences (NMBU), P.O. Box 8146, Oslo 0454, Norway
3
Department of Pathology, Microbiology and Parasitology, Faculty of Veterinary Medicine, University of Nairobi, P.O. Box 29053, Kangemi 00625, Kenya
4
Toxinology Research Group, Norwegian Veterinary Institute, Ullevålsveien 68, Pb 750 Sentrum, Oslo 0106, Norway
5
Department of Animal Production, Faculty of Veterinary Medicine, University of Nairobi, P.O. Box 29053, Kangemi 00625, Kenya
6
Department of Basic Sciences and Aquatic Medicine, Faculty of Veterinary Medicine, Norwegian University of Life Sciences (NMBU), P.O. Box 8146, Oslo 0454, Norway
*
Authors to whom correspondence should be addressed.
Submission received: 20 November 2018 / Revised: 9 December 2018 / Accepted: 10 December 2018 / Published: 17 December 2018
(This article belongs to the Collection Aflatoxins)

Abstract

:
Aflatoxins are fungal metabolites that contaminate foods and feeds, causing adverse health effects in humans and animals. This study determined the occurrence of aflatoxins in fish feeds and their potential effects on fish. Eighty-one fish feeds were sampled from 70 farms and 8 feed manufacturing plants in Nyeri, Kenya for aflatoxin analysis using competitive enzyme-linked immunosorbent assay. Fish were sampled from 12 farms for gross and microscopic pathological examination. Eighty-four percent of feeds sampled tested positive for aflatoxins, ranging from 1.8 to 39.7 µg/kg with a mean of 7.0 ± 8.3 µg/kg and the median of 3.6 µg/kg. Fifteen feeds (18.5%) had aflatoxins above the maximum allowable level in Kenya of 10 µg/kg. Homemade and tilapia feeds had significantly higher aflatoxin levels than commercial and trout feeds. Feeds containing maize bran and fish meal had significantly higher aflatoxin levels than those without these ingredients. Five trout farms (41.7%) had fish with swollen abdomens, and enlarged livers with white or yellow nodules, which microscopically had large dark basophilic hepatic cells with hyperchromatic nuclei in irregular cords. In conclusion, aflatoxin contamination of fish feeds is prevalent in Nyeri, and may be the cause of adverse health effects in fish in this region.
Key Contribution: This article is aimed at bridging the gap in knowledge on occurrence, levels of aflatoxins in fish feeds and their potential effects on fish in Kenya. The findings recorded may be used to quantify the aflatoxin burden and justify designing and implementation of control strategies for aflatoxin exposure to fish and contamination of fish feeds.

Graphical Abstract

1. Introduction

Fish farming in Kenya began in 1920 with the introduction of tilapia species, followed by common carp and African catfish [1]. Fish farming was inconsistent until 2009–2010 when the Government of Kenya invested in fish production through the Economic Stimulus Program (ESP). The aim of ESP was to stimulate economic development, alleviate poverty and promote food security and good nutrition [2,3]. The investment led to increased production of fish and fish products under aquaculture from approximately 1% in 2000–2004 to 8% in 2009–2011 [4] (p. 23). Aquaculture production in 2016 was estimated to be 14,960 metric tons [5].
Aquaculture development in Kenya is faced with several challenges such as unavailability of good quality and affordable fish feeds [6]. Fish feeds are the highest contributors to fish production costs and therefore greatly impact the economic returns from fish farming [7]. Additionally, fish nutrition and feed quality directly affect fish health and productivity. Feed quality is dependent on several factors such as raw materials used, processing conditions [8], nutritional value and feed management practices, among others. Together with low-quality feeds and feed ingredients, feed management practices such as poor storage, predispose fish feeds to contamination with aflatoxins [9].
Aflatoxins are highly toxic, carcinogenic, fungal, secondary metabolites produced mainly by the Aspergillus species [10]. These fungi are commonly found in most soils and they invade grains and other farm products used in animal feeds production, while they are still growing in the field (pre-harvest) or during storage (post-harvest) and produce aflatoxins when conditions are favorable [11]. There are at least 13 different types of aflatoxins but aflatoxins B1, B2, G1, and G2 are of most importance [12] with B1 considered most toxic and most prevalent [13]. The ubiquitous nature of Aspergillus fungi in soil makes it impossible to completely eliminate their invasion and subsequent aflatoxin production in most plant-based food/feedstuff.
Crops mostly affected by aflatoxin contamination include maize, groundnuts and cotton, but any feed crop that is stored is vulnerable [14]. Therefore, the use of products from cereals, oil seeds, groundnuts and cotton seeds in animal feeds, including fish feeds, may predispose animals to aflatoxin exposure and subsequent adverse health effects.
Depending on the exposure, contamination of fish feeds with aflatoxins can induce adverse health effects such as poor growth rates and presence of gross and microscopic lesions in fish. These lead to economic losses due to low production, morbidities, mortalities and poor quality of fish and fish products [15]. Exposure to highly contaminated feeds causes acute aflatoxicosis in fish characterized by pale gills, impaired blood clotting, anaemia, poor growth rates and death. Chronic exposure through prolonged feeding of lower aflatoxin concentrations causes tumors in livers and kidneys of fish [16].
Aflatoxin contamination of feeds is a worldwide problem. Fallah et al. [17], Barbosa et al. [18], Rodríguez-Cervantes et al. [19] and Dutta and Das [20] reported presence of Aspergillus fungi and over 50% occurrence of aflatoxins in fish feeds in Iran, Brazil, Mexico and India, respectively. In East Africa, only Marijani et al. [21] reported a 64.3% occurrence of aflatoxins in fish feeds with levels of up to 806.9 µg/kg in feeds from the Lake Victoria region in Kenya. There is therefore little knowledge on occurrence, levels of aflatoxins in fish feeds and their potential effects on fish in this region. The aims of this study were twofold: (1) to determine the occurrences and levels of aflatoxins in fish feeds and (2) to determine whether aflatoxins in the feeds are associated with adverse fish health effects in Nyeri County, Kenya.

2. Results

2.1. Fish Feed Analysis

A total of 204 fish farmers and 8 fish feed manufacturers in Nyeri were visited. Twenty-three farmers (11.3%) acknowledged feeding their fish exclusively on leafy vegetables from their farms while 181 farmers fed their fish with commercial and/or homemade feeds. Of the 181 farmers, only 70 farmers (38.7%) were in possession of fish feeds at the time of sampling. In total, 81 fish feed samples were collected from the fish farms and fish feed manufacturing plants.
Sixty-eight feeds (84.0%) tested positive for total aflatoxins ranging from the enzyme-linked immunosorbent assay (ELISA) kit’s limit of detection (LOD) of 1.8 to 39.7 µg/kg while 13 samples (16.0%) had aflatoxin levels below the LOD of 1.8 µg/kg. The mean total aflatoxins level was 7.0 ± 8.3 µg/kg (95% confidence interval [CI], 5.2–8.8 µg/kg) and the median level was 3.6 µg/kg (95% CI, 2.9–4.5 µg/kg). Further analysis using liquid chromatography–high-resolution mass spectrometry (LC-HRMS/MS) indicated that aflatoxins B1 and G1 were present in the fish feeds (data not shown). Aflatoxins B2 and G2 were not detected in any of the samples tested.
Feed material/ingredient mixtures of which composition contained all nutrients sufficient for a daily ration were considered as a complete feed, whereas feed mixtures of which composition did not have all nutrients were taken as a compound feed [22]. Under this categorization, the 81 samples were comprised of 37 (45.7%) complete feeds, 26 (32.1%) compound feeds and 18 (22.2%) ingredients (Table 1 and Figure 1). The Kruskal–Wallis test showed that total aflatoxins levels were not significantly different (χ2 = 4.58; p = 0.10) among complete, compound and ingredients feed types.
Five (13.5%) complete and nine (34.6%) compound feeds had aflatoxins levels above 10 µg/kg which is the maximum level (ML) for aflatoxins allowed in both complete and compound animal feeds [22,23] (Table 1 and Figure 1). Only one (5.6%) ingredient had an aflatoxin level above 20 µg/kg which is the ML for aflatoxins allowed in feed ingredients [22]. In total, 15 (18.5%) samples had aflatoxins levels above the ML set by Kenya Bureau of Standards (KEBS) and the European Commission.
Fish feed samples from Tetu, Kieni East, Nyeri Central, Kieni West and Othaya constituted 37.0%, 29.6%, 13.6%, 11.1% and 8.6% of all the samples collected, respectively (Table 2 and Figure 2). Kruskal–Wallis test showed that total aflatoxins levels were significantly different (χ2 = 12.56; p = 0.01) among the five sub-counties. Total aflatoxins levels in feeds from Othaya, Tetu and Kieni West were not significantly different from each other. However, Kieni East had a significantly lower median than Tetu (χ2 = 7.05; p = 0.01), Othaya (χ2 = 7.90; p = 0.00) and Kieni West (χ2 = 4.48; p = 0.04). Nyeri Central had a significantly lower (χ2 = 3.79; p = 0.05) median than Othaya. On Fisher’s test, the sub-counties sampled were found to be associated with the fish reared (p < 0.01), feed groups (p = 0.001), feed types (p < 0.01), feed forms (p = 0.001) and feed sources (p = 0.003). Out of the 15 samples with total aflatoxins levels above the maximum allowable level, 7 (46.7%) samples were from Tetu with 4 (26.7%) from Othaya, 3 (20.0%) from Kieni West, 1 (6.7%) from Nyeri Central and none (0.0%) from Kieni East.
Data on total aflatoxins levels in fish feed samples by feed characteristics are shown in Table 3.
Seventy (86.4%) fish feeds were collected from fish farms while 11 (13.6%) were from fish feed manufacturing plants (Table 3). The Mann–Whitney test showed that total aflatoxins levels were not significantly different (z = 0.32; p = 0.75) between feeds from fish farms and feed manufacturing plants.
Majority of the feeds (79.0%) were for tilapia while 21.0% were for rainbow trout (Table 3). The Mann–Whitney test showed that total aflatoxins median level was significantly higher (z = −2.13, p = 0.03) in tilapia feeds than in rainbow trout feeds (Figure 3). On Fisher’s test, the fish reared were found to be associated with feed types (p < 0.01), feed groups (p < 0.01), feed forms (p < 0.01) and feed sources (p < 0.01). All samples with total aflatoxins levels above the maximum allowable level were tilapia feeds, constituting 30.6% of all the tilapia feeds tested.
The feed samples were either commercial (63.0%) or homemade (37.0%) (Table 3). The Mann–Whitney test showed that total aflatoxins median level was significantly higher (z = −1.96, p = 0.05) in homemade than in commercial feeds (Figure 4). Of the 15 samples that had total aflatoxins values above the maximum allowable level, 11 (73.3%) were homemade, constituting 36.7% of all homemade feeds.
The feed samples were mostly mash (49.4%) or pellet (37.0%) in form (Table 3). The Kruskal–Wallis test showed that total aflatoxins levels were not significantly different (χ2 = 6.38; p = 0.17) among the different forms of the fish feeds.
Ingredients were analyzed for 55 (67.9%) fish feeds collected as shown in Table 4 and Table 5. Forty-six feeds (83.6%) contained cereal milling by-products; 23 (41.8%) contained animal proteins; 10 (18.2%) contained oilseed cakes or meal and 7 (12.7%) contained cereal grains. Total aflatoxins levels in feeds containing the four ingredient groups were not significantly different (χ2 = 2.17; p = 0.54) from each other.
The top six ingredients mostly used for preparation of fish feeds were wheat bran (52.7%), maize bran (45.5%), pollard (25.5%), dried silver cyprinid fish (16.4%), fish meal (16.4%) and cotton seed cake (12.7%). Of the 15 feed samples with total aflatoxins levels above the maximum allowable level, the majority contained maize bran (8, 53.3%) and wheat bran (5, 33.3%) (Table 5). The Mann–Whitney test showed that total aflatoxins median levels were significantly higher in feeds containing either maize bran (z = −2.43; p = 0.01) or fish meal (z = −2.59; p = 0.01) than those without these two ingredients. Fifty-two point one percent (52.1%) and 18.8% of tilapia feeds contained maize bran and fish meal, respectively, whereas none of the rainbow trout feeds had these ingredients. Similarly, 74.1% and 29.6% of homemade feeds contained maize bran and fish meal, respectively, but only 17.9% and 3.6% of the commercial feeds had these ingredients.

2.2. Fish Health Problems Reported

Twenty-two (10.8%) fish farms visited reported fish health problems. Of these, 31.8%, 9.1%, 45.5% and 36.4% reported fish mortalities, poor appetites, poor growth rates and tumor-like lesions in fish, respectively (Table 6). Fisher’s exact test showed that rainbow trout farms reported a significantly higher (p < 0.001) occurrence of tumor-like lesions in their fish (87.5%) than tilapia farms (7.1%) (Table 6). However, reports of mortalities, poor feed intake and growth rates were not significantly different between tilapia and rainbow trout farms.

2.3. Fish Examination

A total of 120 fish, 10 fish from each of the 12 farms sampled, were examined grossly and microscopically for lesions. Eighty of the 120 (66.7%) fish examined were rainbow trout while the remaining were tilapia. Rainbow trout (57.5%) showed significantly more (p < 0.001) gross and microscopic lesions than tilapia fish (5.4%).
Post-mortem examination of rainbow trouts sampled from the study farms showed swollen abdomens with ascites (46.3%) and markedly enlarged livers (60.0%) with single or multiple whitish or yellow nodules or cystic swellings (50.0%) (Figure 5). The majority of the trout livers had areas of necrosis (61.3%) and haemorrhages (91.3%). Muscular haemorrhages (30.0%) and enlarged hearts (40.0%) and kidneys (56.3%) were also observed (Table 7). Rainbow trouts (50.8%) showed significantly more (p < 0.001) gross lesions than tilapia fish (5.9%).
Histological examination of over 45.0% of trout livers showed various degrees of irregular cords of dark, large, basophilic, abnormal hepatocytes with large, hyperchromatic nuclei with prominent nucleolus (Figure 6). These findings are suggestive of hepatomas which are usually associated with aflatoxin exposure. Rainbow trout (66.5%) showed significantly more (p < 0.001) microscopic lesions than tilapia fish (4.6%), most of which were suggestive of hepatomas.
Total aflatoxins levels in feeds sampled from tilapia farms (median = 10.5 µg/kg) were significantly higher (p = 0.01) than feeds from rainbow trout farms (median = 2.8 µg/kg). However, no significant difference (p = 0.89) in total aflatoxins levels was detected in feeds from farms with fish showing pathological lesions (median = 2.8 µg/kg) and those that were not showing lesions (median = 2.8 µg/kg).
Three trout farms (37.5%) and 1 tilapia farm (25.0%) sampled manufactured their own fish feeds in-house, whereas the remaining farms sourced their fish feeds from different sources including the farms that manufactured their own feeds. No significant difference (p = 0.73) in total aflatoxins levels was, however, detected in feeds from farms that manufactured their own feeds (median = 2.8 µg/kg) and those that purchased the feeds from outside sources (median = 3.2 µg/kg).

3. Discussion

This study confirmed presence of aflatoxins in fish feeds for tilapia and rainbow trout in Nyeri County, Kenya. Aflatoxin occurrence in fish feeds was found to be higher (84.0%) than that reported by Marijani et al. [21], who detected aflatoxins in 16 (36.5%) fish feeds from the Lake Vitoria area in Kisumu, Kenya. However, Marijani et al. reported higher levels of 90.1, 9.9 and 22.1 µg/kg of aflatoxin B1, B2 and G1, respectively, than those shown in the present study. These authors analyzed tilapia feeds, but not trout feeds. The higher levels of aflatoxins reported could be due to warmer weather in Kisumu County compared to those in Nyeri County. Marijani et al. reported an average temperature of 32 °C during sample collection which is higher than that recorded in the present study that ranged between 16.3 °C and 18.8 °C. Relative humidity recorded in the present study, 73.8–84.9%, was similar to 78% recorded by Marijani et al. Fallah et al. [17] reported a lower occurrence of total aflatoxins (67.4%) in fish feeds in Iran with a wider range of 0.5–68.5 µg/kg. Similarly, Dutta and Das [20] reported a lower occurrence of 76.2% in fish feeds in India with a very high mean of 412 ± 154 µg/kg. Marijani et al. and Dutta and Das attributed the higher aflatoxins levels to high ambient temperature and relative humidity, together with inappropriate feed handling and storage practices. Other predisposing factors for aflatoxin contamination include type of ingredient, moisture content, damage by insects/rodents [16], soil type, water activity, harvest time, drying time [24], among others, which were neither evaluated in the present study nor discussed by Marijani et al., Fallah et al. and Dutta and Das.
Aflatoxins, and mycotoxins in general, are difficult to completely avoid in food and feed products, therefore, maximum levels (ML) are set to assure food and feed safety [25]. The MLs set by the Kenya Bureau of Standards and the European Commission for complete and compound animal feeds are 10 µg/kg [22,23] and 20 µg/kg for feed ingredients [22]. Exposure of fish to low doses of aflatoxins for a long period of time [16] may lead to chronic aflatoxicosis and a risk of aflatoxin residue accumulation in fish tissue [26,27]. Michelin et al. [27] have shown accumulation of aflatoxins is lambari (Astyanax altiparanae) fish liver and muscle after 90 days of exposure. Consumption of fish containing aflatoxin residues may cause adverse health effects ranging from acute hepatic toxicity to chronic disease, such as liver cancer, haemorrhages, oedema, and even immediate death in humans [28].
In fish, aflatoxicosis has been associated with adverse health effects such as impaired blood clotting, immune suppression, poor growth rates, reduced appetites, hepatic carcinomas and mortalities [9,29]. Over 10% of fish farmers in Nyeri County reported cases of poor growth rates, poor appetite, mortalities and tumors, which could be attributable to aflatoxin exposure through contaminated fish feeds. Once aflatoxin-contaminated feed is consumed, aflatoxins are absorbed from the ingesta and passed to different organs. The principal target organ for aflatoxins is the liver [30]. After the invasion of aflatoxins into the liver, lipids infiltrate hepatocytes, which leads to necrosis or liver cell death [9]. Aflatoxins bind to DNA, creating the aflatoxin B1 exo-8,9-epoxide which is involved in the development of fatty liver, necrosis and carcinogenesis in fish and other animals.
Rainbow trouts are very sensitive to aflatoxins [31] with a median lethal dose (LD50) of less than 1000 µg/kg body weight [16]. Sensitivity also varies with age, and fry are more vulnerable than adult fish [16]. Tilapia are less susceptible to aflatoxicosis than rainbow trout [32]. Levels as low as 0.01 µg/kg of aflatoxin have been reported to induce neoplastic changes in rainbow trout over a relatively short period [33] (p. 419). It has been shown that prolonged feeding of 3–6 months with doses of 1–20 µg/kg [34] of aflatoxin, which are similar to or lower than the levels measured in the present study (1.8–29.7 µg/kg), induced liver tumors (malignant hepatocellular carcinomas) in rainbow trout [35,36]. In their study, Anh-Tuan et al. [32] showed that acute and sub-chronic effects of aflatoxins to Nile tilapia are unlikely if dietary concentrations are 250 µg/kg or less. A higher percentage of swellings and tumors were diagnosed in the rainbow trout farms compared to that in the tilapia farms, possibly because of greater sensitivity of rainbow trout to aflatoxins than tilapia. Additionally, rainbow trout farmers feed their fish exclusively on commercial feeds while the tilapia farmers feed their fish on combinations of commercial feeds, homemade feeds and leafy vegetables from their farms. Some tilapia farmers admitted that they did not feed their fish daily. This means that the level and rate of exposure of tilapia to aflatoxin-contaminated feeds was less than that of rainbow trout even though the dose within the tilapia feeds was higher than that in trout feeds. Experiments by Deng et al. [35] indicated that aflatoxicosis in tilapia depended on both dose and duration, which may explain the fewer lesions observed in tilapia fish in the present study.
Selective sensitivity towards aflatoxins in fish, for example between rainbow trout and tilapia, is due to differences in the pattern of enzymes involved in aflatoxin metabolism. Such differences might be ascribed to a different gene expression or enzyme efficiency, and consequently to an altered balance in the aflatoxin metabolic pathway [36]. In fish, as in mammals, the metabolic pathway of aflatoxins is characterized by two routes with two major catalysts systems: the activation phase mediated by cytochrome P450-dependent mixed-function oxidases, and the detoxification phase comprised of the two most important detoxifiers, the uridine diphosphate (UDP) glucuronyl-transferase (UDPGT) and glutathione (GSH)-S-transferase (GST) [37]. Rainbow trout sequestrate aflatoxins via a highly efficient microsomal epoxidation, thereby activating the aflatoxins to aflatoxin B1 exo-8,9-epoxide [37] and expressing little GST activity towards the aflatoxin B1 exo-8,9-epoxide [38], leading to its high sensitivity to aflatoxins. Additionally, the high responsiveness of rainbow trout to cancer induction might be also related to the poor efficiency of its DNA repair system in removing bulky adducts [39]. Resistant species like Coho salmon, channel catfish and tilapia are less sensitive to aflatoxins because they poorly oxidize aflatoxins and rapidly convert aflatoxins to aflatoxicol that allows for rapid elimination of free aflatoxins [37].
In order to assess whether disease conditions related to aflatoxin exposure occurred in the farms studied, fish were collected for pathological examination. Post-mortem examination showed tumor-like lesions in 5 of 8 (62.5%) trout farms, affecting 50% of the trout. However, no tumor-like lesions were detected in tilapia. Histopathological examination of the rainbow trout livers showed irregular cords with abnormal, basophilic hepatocytes containing large nuclei and prominent nucleoli, which were consistent with aflatoxin-induced hepatomas. This is congruent with studies by Rajeev-Raghavan et al. [40], Mahfouz and Sherif [15], Arana et al. [41], Zychowski et al. [30] and Shahafve et al. [42], who reported similar findings in sturgeon, Nile tilapia, rainbow trout, red drum and common carp exposed to various levels of aflatoxins. However, no tumors or histological changes consistent with aflatoxin-induced hepatomas were detected in tilapia, probably because of the above-mentioned greater sensitivity of rainbow trout to aflatoxins compared with tilapia [32,37].
There was no significant difference (p = 0.89) in total aflatoxins levels detected in feeds from farms with fish showing pathological lesions (median = 2.8 µg/kg) and those that were not showing lesions (median = 2.8 µg/kg). It is a challenge to directly attribute the pathological lesions observed at post-mortem examination with the levels of total aflatoxins measured, because the feed from the farms with pathological lesions were only analyzed at one point in time (cross-sectional design) and the lesions seen are associated with a chronic disease condition which takes time to develop [43]. This means that induction of the lesions may have been caused by earlier feed batches with unknown aflatoxin levels, rather than by the feed they had at the farm during the investigation. In acute cases of aflatoxicosis, the levels of aflatoxins identified in feed are usually higher [44] (p. 49) than those observed in this study. Prospective cohort studies are therefore suggested in Nyeri County to adequately associate the pathological lesions observed in the fish to the levels of aflatoxins in the feeds fed.
Feeds from all sub-counties except Nyeri Central had significantly higher median total aflatoxins levels than those in Kieni East. All rainbow trout farms visited were located in Kieni East sub-county where ambient and water temperatures are lower than 15 °C which is ideal for rearing this type of fish (6–20 °C) [34]. The feeds from Kieni East sub-county were produced and stored at lower temperatures which are suboptimal for aflatoxin production [16]. This explains the association found between sub-counties and fish reared. Rainbow trout were fed exclusively on commercial feeds which were mainly complete and pelleted, therefore accounting for the associations found between fish reared and feed groups, feed types and feed sources. Tilapia, on the other hand, tended to be fed on homemade feeds, compound feeds or ingredients which were mostly in mash form.
In this study, fish feeds containing maize bran, wheat bran, fish meal, cotton seed cake, sunflower seed cake and soya meal contained aflatoxin levels above maximum allowable limits. Maize, cotton seed, sunflower seed, soya bean and groundnuts have been reported to be commonly contaminated with aflatoxins in Africa due to the tropical climate [35]. In Kenya, there are at least four reports of large-scale aflatoxin contamination of maize between 2004 and 2016 [2,45,46,47,48]. Significantly high aflatoxin levels were detected in feeds with maize bran and fish meal. Similar findings by Alinezhad et al. [49] showed significantly high levels of aflatoxins in fish meal (mean = 67.4 µg/kg) compared to wheat (mean = 12.4 µg/kg), wheat flour (mean = 2.3 µg/kg) and starch (mean = 1.8 µg/kg) used to feed fish in Iran [49]. Higher proportions of tilapia feeds and homemade feeds contained maize bran and fish meal compared to those of rainbow trout feed and commercial feeds, possibly explaining why they had significantly higher levels of aflatoxins.

4. Conclusions

This study has shown that fish feeds used in Nyeri county were contaminated with aflatoxins and that the rainbow trout in this region showed lesions typical of aflatoxin-induced hepatomas, indicating that they might have been exposed to aflatoxins at some point in their life. The occurrences and levels of aflatoxins in the feeds sampled indicated a major problem in controlling invasion of feeds and feed ingredients with Aspergillus fungi and aflatoxins. The fish production problems reported by fish farmers in Nyeri could potentially be due to aflatoxin exposure, which directly affects fish health and predisposes them to other diseases and cancers. Strategies to control aflatoxin exposure and its effects need to be implemented to prevent losses in fish production industry. Fish feeds need to be monitored to ensure that the feeds have aflatoxins levels below maximum allowable levels, thus safeguarding fish health. Similarly, aflatoxins residues in the fish need to be monitored to ensure that fish and fish by-products are safe for human consumption.

5. Materials and Methods

5.1. Study Area

This was a cross-sectional study carried out between August and December 2015 in Kieni East, Kieni West, Nyeri Central, Tetu and Othaya sub-counties of Nyeri County. Nyeri County covers an area of 3337.1 km2 [50]. It lies between longitude 36°–38° East and latitude 0° 0′–0° 38′ South [51] with altitudes of between 3076–5199 m above the sea level [52]. Temperatures range between 12.8 °C and 20.8 °C and annual rainfalls vary from 500 to 1600 mm. The natural water towers, Aberdare mountain ranges in the West and Mount Kenya in the East, form part of Nyeri County borders and provide cold water for rainbow trout farming.

5.2. Feed Sample Collection

Fish feeds were sampled from fish farms and fish feed manufacturing plants. Representative samples in at least 5 increments totaling to 1 kg each were collected from each feed and/or ingredient package from the top, middle and bottom of the package as per KS ISO 6497:2002 standard on animal feeding stuff sampling [53]. The feed samples were packed in paper bags, wrapped in polythene bags and allocated with unique identification numbers. Feed samples data recorded included feed type, source, form, ingredients and type of fish to be fed. The feed samples were transported to the laboratory and stored in a freezer at −20 °C until analyzed at the Department of Public Health, Pharmacology and Toxicology at the University of Nairobi.

5.3. Feed Sample Preparation and Testing

The samples were prepared and tested for total aflatoxins levels using a competitive total aflatoxins enzyme-linked immunosorbent assay (ELISA) kit (Ridascreen® Aflatoxin Total, R4701, R-Biopharm AG, Darmstadt, Germany) as per manufacturer’s instructions [54]. Each feed sample was brought to room temperature, mixed thoroughly and ground to a fine powder using a knife mill (Retsch Grandomix GM200, Haan, Germany) at 7500 rpm for 1 min. Two grams of the ground feed were weighed into a 50 mL plastic tube (Falcon, Thermo Fisher Scientific, Waltham, MA, USA) and 10 mL of methanol: distilled water (70:30, v/v) mixture was added. Mixing was done at room temperature using a shaker (Burrell wrist action shaker, model 75, Pittsburgh, PA, USA) for 10 min. The mixture was filtered through Whatman® filter paper No.1 (GE Healthcare Bio-Sciences, Pittsburgh, PA, USA) with an 11 µm pore size and 100 µL of the filtrate was diluted with 600 µL distilled water. Fifty microliters of the filtered sample extracts and standard dilutions were pipetted into the microtiter plates in duplicate wells. Fifty microliters of peroxidase-conjugated aflatoxin B1 followed by 50 μL of the monoclonal anti-aflatoxin antibodies solution were added into each well. The plate was incubated for 30 min in a shaking incubator (Thermo Scientific 4625Q 4-Place Microplate Shaker, Waltham, MA, USA) at room temperature. The wells were emptied and cleaned twice using 250 μL of washing buffer. A hundred microliters of substrate were added to each well and incubated for 15 min at room temperature. A stop solution of 100 μL was added to each well and absorbance was measured at 450 nm using an ELISA reader (Thermo Electron Corporation Multiskan EX, Waltham, MA, USA). Total aflatoxins levels were calculated using ELISA software (Rida®Soft, Z9999, R-Biopharm AG, Darmstadt, Germany). Aflatoxin levels below the kit’s limit of detection (LOD) of 1.8 µg/kg were assigned half the LOD value of 0.9 µg/kg in the statistical calculations. The documented ELISA kit’s recovery rate was approximately 85% with cross reactivity of 100% for Aflatoxin B1, with 48% for Aflatoxin B2, 75% for Aflatoxin G1 and 18% for Aflatoxin G2 [54].

5.4. Fish Sample Collection and Examination

Twelve farms, eight rearing rainbow trout and four rearing tilapia were selected for fish sampling. Ten fish per farm were sampled and post-mortem examination was carried out. The fish and their organs were examined for gross pathological lesions. Livers from the fish were fixed in 10% buffered formalin for histological processing, as described by Brar et al. [55]. The 3–5 µm thick haematoxylin and eosin stained liver tissues mounted on slides with cover slips were examined for microscopic lesions.

5.5. Data Analysis

Feed data on type, source, form, ingredients and aflatoxin levels were entered into Microsoft® Excel 2007 (Microsoft Corporation, Redmond, WA, USA) spreadsheets, checked and corrected for transcription errors. They were exported into Stata/SE 14.2 (StataCorp LLC, College station, TX, USA) for statistical analysis. Summary statistics were generated and numeric variables expressed as median, and mean ± standard deviation with the 95% confidence interval reported. The data were skewed to the right and therefore non-parametric tests such as Mann–Whitney and Kruskal–Wallis tests were used to compare medians. Significant observations were reported at p ≤ 0.05.

Author Contributions

Conceptualization, E.W.M., P.G.M., S.M. and J.L.L.; data curation, E.W.M.; formal analysis, E.W.M., P.G.M. and J.L.L.; funding acquisition, P.G.M., S.M. and J.L.L.; investigation, E.W.M., P.G.M., G.S.E., J.K.G., J.G.M., S.M., R.M.W. and I.R.M.; methodology, E.W.M., P.G.M., G.S.E., J.K.G., J.G.M., S.M. and J.L.L.; project administration, P.G.M., S.M., R.M.W. and J.L.L.; resources, P.G.M., G.S.E., S.M., R.M.W. and J.L.L.; supervision, P.G.M., G.S.E., J.K.G., J.G.M., S.M., R.M.W. and J.L.L.; validation, E.W.M., P.G.M., G.S.E., J.K.G., J.G.M., S.M., R.M.W. and J.L.L.; visualization, E.W.M., P.G.M., G.S.E., J.K.G., J.G.M., S.M., R.M.W. and J.L.L.; writing of the original draft, E.W.M., P.G.M. and J.L.L.; writing of review and editing, E.W.M., P.G.M., G.S.E., J.K.G., J.G.M., S.M., R.M.W., I.R.M. and J.L.L.

Funding

Funding for this study came from the Norwegian Programme for Capacity Development in Higher Education and Research for Development (NORHED) (project number: QZA-0485 TAN-13/0027) and was issued to Sokoine University of Agriculture (SUA) and Norwegian University of Life Sciences (NMBU) under the Training and Research in Aquatic and Environmental Health in Eastern and Southern Africa (TRAHESA) project. Finances to carry out the activities were disbursed by the University of Nairobi (UoN).

Acknowledgments

The authors acknowledge NORHED for providing funds used to carry out the study through the TRAHESA project. Special recognition goes to Norwegian University of Life Sciences (NMBU) and Sokoine University of Agriculture (SUA) for implementation and facilitation of the TRAHESA project. We thank the following departments for providing equipment, facilities, time-off and staff to assist in carrying out this study: Veterinary Pathology, Microbiology and Parasitology at the University of Nairobi, Public Health, Pharmacology and Toxicology at the University of Nairobi, Egerton University and the National and County Departments of Veterinary Services, Ministry of Agriculture, Livestock and Fisheries of the Government of Kenya.

Conflicts of Interest

The authors declare that they have no conflicts of interest. The funders had no role in the design of the study, in the collection, analyses, or interpretation of data, in the writing of the manuscript, or in the decision to publish the results.

References

  1. Mwamuye, M.K.; Cherutich, B.K.; Nyamu, H.M. Performance of commercial aquaculture under the economic stimulus program in Kenya. Int. J. Bus. Commer. 2012, 2, 1–20. [Google Scholar]
  2. Maina, A.W.; Wagacha, J.M.; Mwaura, F.B.; Muthomi, J.W.; Woloshuk, C.P. Postharvest practices of maize farmers in Kaiti district, Kenya and the impact of hermetic storage on populations of Aspergillus spp. and aflatoxin contamination. J. Food Res. 2016, 5, 53. [Google Scholar] [CrossRef]
  3. Munguti, J.M.; Kim, J.; Ogello, E.O. An Overview of Kenyan Aquaculture: Current Status, Challenges, and Opportunities for Future Development. Fish. Aquat. Sci. 2014, 17, 1–11. [Google Scholar] [CrossRef]
  4. Breuli, C.; Grima, D. Kenya’s Baseline Report for SmartFish Program of the Indian Ocean Commision; Food and Agriculture Organization: Ebene, Mauritius, 2014. [Google Scholar]
  5. Food and Agriculture Organization National Aquaculture Sector Overview—Kenya. Available online: http://www.fao.org/fishery/countrysector/naso_kenya/en#tcN700B0 (accessed on 26 September 2017).
  6. Nyandat, B. Analysis of Feeds and Fertilizers for Sustainable Aquaculture Development in Kenya. In Study and Analysis of Feeds and Fertilizers for Sustainable Aquaculture Development; Hasan, M.R., Hecht, T., Silva, S.S., De Tacon, A.G.J., Eds.; Food and Agriculture Organization: Rome, Italy, 2007; pp. 423–436. ISBN 9789251058626. [Google Scholar]
  7. Wong, M.H.; Mo, W.Y.; Choi, W.M.; Cheng, Z.; Man, Y.B. Recycle food wastes into high quality fish feeds for safe and quality fish production. Environ. Pollut. 2016, 219, 631–638. [Google Scholar] [CrossRef] [PubMed]
  8. Tangendjaja, B. Quality control of feed ingredients for aquaculture. In Feed and Feeding Practices in Aquaculture; Elsevier: Amsterdam, The Netherlands, 2015; pp. 141–169. ISBN 9780081005064. [Google Scholar]
  9. Cagauan, A.G.; Tayaban, R.H.; Somga, J.R.; Bartolome, R.M. Effect of aflatoxin-contaminated feeds in Nile tilapia (Oreochromis niloticus L.). In Proceedings of the Sixth International Symposium on Tilapia in Aquaculture, Manila, Philippines, 12–16 September 2004; pp. 172–178. [Google Scholar]
  10. Khlangwiset, P.; Shephard, G.S.; Wu, F. Aflatoxins and growth impairment: A review. Crit. Rev. Toxicol. 2011, 41, 740–755. [Google Scholar] [CrossRef]
  11. Rajarajan, P.N.; Rajasekaran, K.M.; Asha Devi, N.K. Aflatoxin contamination in agricultural commodities. Indian J. Pharm. Biol. Res. 2013, 1, 148–151. [Google Scholar] [CrossRef]
  12. Bennett, J.W.; Klich, M. Mycotoxins. Clin. Microbiol. Rev. 2003, 16, 497–516. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Williams, J.H.; Phillips, T.D.; Jolly, P.E.; Stiles, J.K.; Jolly, C.M.; Aggarwal, D. Human aflatoxin in developing countries: A review of toxicology, exposure, potential health consequences, and interventions. Am. J. Clin. Nutr. 2004, 80, 1106–1122. [Google Scholar] [CrossRef]
  14. Thompson, C.; Henke, S.E. Effect of climate and type of storage container on aflatoxin production in corn and its associated risks to wildlife species. J. Wildl. Dis. 2000, 36, 172–179. [Google Scholar] [CrossRef]
  15. Mahfouz, M.E.; Sherif, A.H. A multiparameter investigation into adverse effects of aflatoxin on Oreochromis niloticus health status. J. Basic Appl. Zool. 2015, 71, 48–59. [Google Scholar] [CrossRef]
  16. Agag, B.I. Mycotoxins in foods and feeds: 1. Aflatoxins. Assiut Univ. Bull. Environ. Res. 2004, 7, 173–206. [Google Scholar]
  17. Fallah, A.A.; Pirali-Kheirabadi, E.; Rahnama, M.; Saei-Dehkordi, S.S.; Pirali-Kheirabadi, K. Mycoflora, aflatoxigenic strains of Aspergillus section Flavi and aflatoxins in fish feed. Qual. Assur. Saf. Crop. Foods 2014, 6, 419–424. [Google Scholar] [CrossRef]
  18. Barbosa, T.S.; Pereyra, C.M.; Soleiro, C.A.; Dias, E.O.; Oliveira, A.A.; Keller, K.M.; Silva, P.P.O.; Cavaglieri, L.R.; Rosa, C.A.R. Mycobiota and mycotoxins present in finished fish feeds from farms in the Rio de Janeiro State, Brazil. Int. Aquat. Res. 2013, 5, 3. [Google Scholar] [CrossRef] [Green Version]
  19. Rodríguez-Cervantes, C.H.; Ramos, A.J.; Robledo-Marenco, M.L.; Sanchis, V.; Marín, S.; Girón-Pérez, M.I. Determination of aflatoxin and fumonisin levels through ELISA and HPLC, on tilapia feed in Nayarit, Mexico. Food Agric. Immunol. 2013, 24, 269–278. [Google Scholar] [CrossRef]
  20. Dutta, T.K.; Das, P. Isolation of aflatoxigenic strains of Aspergillus and detection of aflatoxin B1 from feeds in India. Mycopathologia 2001, 151, 29–33. [Google Scholar] [CrossRef] [PubMed]
  21. Marijani, E.; Wainaina, J.M.; Charo-Karisa, H.; Nzayisenga, L.; Munguti, J.; Gnonlonfin, G.J.B.; Kigadye, E.; Okoth, S. Mycoflora and mycotoxins in finished fish feed and feed ingredients from smallholder farms in East Africa. Egypt. J. Aquat. Res. 2017, 43, 169–176. [Google Scholar] [CrossRef]
  22. European Commission. European Commission Directive 2002/32/EC of the European parliament and of the council of 7th May 2002 on undesirable substances in animal feed. Off. J. Eur. Communities 2002, L0032, 1–15. [Google Scholar]
  23. Kenya Bureau of Standards. KS 2289-1:2016 Standard on Compounded Tilapia Feeds—Specification. Part 1: Complete Feeds, 1st ed.; Kenya Bureau of Standards (KEBS): Nairobi, Kenya, 2015. [Google Scholar]
  24. Diao, E.; Dong, H.; Hou, H.; Zhang, Z.; Ji, N.; Ma, W. Factors Influencing Aflatoxin Contamination in Before and After Harvest Peanuts: A Review. J. Food Res. 2014, 4, 148. [Google Scholar] [CrossRef]
  25. UK-FSA Undesirable Substances in Animal Feed|Food Standards Agency. Available online: https://www.food.gov.uk/business-industry/farmingfood/animalfeed/animalfeedlegislation/feedundesirables (accessed on 20 April 2018).
  26. El-Sayed, Y.S.; Khalil, R.H. Toxicity, biochemical effects and residue of aflatoxin B1 in marine water-reared sea bass (Dicentrarchus labrax L.). Food Chem. Toxicol. 2009, 47, 1606–1609. [Google Scholar] [CrossRef]
  27. Michelin, E.C.; Massocco, M.M.; Godoy, S.H.S.; Baldin, J.C.; Yasui, G.S.; Lima, C.G.; Rottinghaus, G.E.; Sousa, R.L.M.; Fernandes, A.M. Carryover of aflatoxins from feed to lambari fish (Astyanax altiparanae) tissues. Food Addit. Contam. Part A 2017, 34, 265–272. [Google Scholar] [CrossRef]
  28. Bbosa, G.S.; Kitya, D.; Lubega, A.; Ogwal-Okeng, J.; Anokbonggo, W.W.; Kyegombe, D.B. Review of the Biological and Health Effects of Aflatoxins on Body Organs and Body Systems. In Review of the Biological and Health Effects of Aflatoxins on Body Organs and Body Systems; InTech: Vienna, Austria, 2013; pp. 239–265. ISBN 9789537619992. [Google Scholar]
  29. Sotolu, A.O.; Sule, S.O.; Oshinowo, J.A.; Ogara, I.M. Implication of aflatoxin in fish feeds and management strategies for sustainable aquaculture. PAT June 2014, 10, 38–52. [Google Scholar]
  30. Zychowski, K.E.; Hoffmann, A.R.; Ly, H.J.; Pohlenz, C.; Buentello, A.; Romoser, A.; Gatlin, D.M.; Phillips, T.D. The Effect of Aflatoxin-B1 on Red Drum (Sciaenops ocellatus) and Assessment of Dietary Supplementation of NovaSil for the Prevention of Aflatoxicosis. Toxins (Basel) 2013, 5, 1555–1573. [Google Scholar] [CrossRef] [PubMed]
  31. Williams, D.E. The rainbow trout liver cancer model: Response to environmental chemicals and studies on promotion and chemoprevention. Comp. Biochem. Physiol. Part C Toxicol. Pharmacol. 2012, 155, 121–127. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Anh-Tuan, N.; Grizzle, J.M.; Lovell, R.T.; Manning, B.B.; Rottinghaus, G.E. Growth and hepatic lesions of Nile tilapia (Oreochromis niloticus) fed diets containing aflatoxin B1. Aquaculture 2002, 212, 311–319. [Google Scholar] [CrossRef]
  33. Roberts, R.J. Fish Pathology, 4th ed.; Roberts, R.J., Ed.; Wiley-Blackwell: Ames, IA, USA, 2012; ISBN 9781444332827. [Google Scholar]
  34. Ashley, L.M. Animal model of human disease. Liver cell carcinoma, hepatocellular carcinoma, hepatoma. Am. J. Pathol. 1973, 72, 345–348. [Google Scholar] [PubMed]
  35. Deng, S.-X.; Tian, L.-X.; Liu, F.-J.; Jin, S.-J.; Liang, G.-Y.; Yang, H.-J.; Du, Z.-Y.; Liu, Y.-J. Toxic effects and residue of aflatoxin B1 in tilapia (Oreochromis niloticus × O. aureus) during long-term dietary exposure. Aquaculture 2010, 307, 233–240. [Google Scholar] [CrossRef]
  36. Bailey, G.S.; Williams, D.E.; Wilcox, J.; Loveland, P.M.; Coulombe, R.A.; Hendricks, J.D. Aflatoxin B1 carcinogenesis and its relation to DNA adduction formation and adduct persistence in sensitive and resistant Salmonid fish. Carcinogenesis 1988, 9, 1919–1926. [Google Scholar] [CrossRef]
  37. Santacroce, M.P.; Conversano, M.C.; Casalino, E.; Lai, O.; Zizzadoro, C.; Centoducati, G.; Crescenzo, G. Aflatoxins in aquatic species: Metabolism, toxicity and perspectives. Rev. Fish Biol. Fish. 2008, 18, 99–130. [Google Scholar] [CrossRef]
  38. Gillam, E.M.J.; Hunter, D.J.B. Chemical defense and exploitation. Biotransformation of xenobiotics by cytochrome P450 enzymes. In Metal Ions in Life Sciences; Sigel, A., Sigel, H., Sigel, R.K.O., Eds.; John Wiley & Sons Ltd.: West Sussex, UK, 2007; Volume 3, pp. 477–560. ISBN 978-0-470-01672-5. [Google Scholar]
  39. Bailey, G.S.; Williams, D.E.; Hendricks, J.D. Fish models for environmental carcinogenesis: The rainbow trout. Environ. Health Perspect. 1996, 104, 5–12. [Google Scholar] [CrossRef]
  40. Rajeev-Raghavan, P.; Zhu, X.; Lei, W.; Han, D.; Yang, Y.; Xie, S. Low levels of Aflatoxin B1, could cause mortalities in juvenile hybrid sturgeon, Acipenser ruthenus ♂× A. baeri ♀. Aquac. Nutr. 2011, 17, 39–47. [Google Scholar] [CrossRef]
  41. Arana, S.; Alves, V.A.F.; Sabino, M.; Tabata, Y.A.; Nonogaki, S.; Zaidan-Dagli, M.-L.; Hernandez-Blazquez, F.J. Immunohistochemical Evidence for Myofibroblast- like Cells Associated with Liver Injury Induced by Aflatoxin B1 in Rainbow Trout (Oncorhynchus mykiss). J. Comp. Pathol. 2014, 150, 258–265. [Google Scholar] [CrossRef] [PubMed]
  42. Shahafve, S.; Banaee, M.; Haghi, B.N.; Mohiseni, M. Histopathological study of common carp (Cyprinus carpio) fed aflatoxin- contaminated diets. Int. J. Aquat. Biol. 2017, 5, 63–70. [Google Scholar]
  43. Dhanasekaran, D.; Shanmugapriya, S.; Thajuddin, N.; Panneerselvam, A. Aflatoxins and Aflatoxicosis in Human and Animals. In Aflatoxins—Biochemistry and Molecular Biology; Guevara-Gonzalez, R.G., Ed.; InTech Europe: Rijeka, Croatia, 2011; pp. 221–254. ISBN 978-953-307-395-8. [Google Scholar]
  44. CAST. Council for Agricultural Science and Technology—Task Force Report; Council for Agricultural Science and Technology: Ames, IA, USA, 2003; ISBN 1887383220. [Google Scholar]
  45. Probst, C.; Njapau, H.; Cotty, P.J. Outbreak of an acute aflatoxicosis in Kenya in 2004: Identification of the causal agent. Appl. Environ. Microbiol. 2007, 73, 2762–2764. [Google Scholar] [CrossRef] [PubMed]
  46. Mwihia, J.T.; Straetmans, M.; Ibrahim, A.; Njau, J.; Muhenje, O.; Guracha, A.; Gikundi, S. Aflatoxin levels in locally grown maize from Makueni district, Kenya. East Afr. Med. J. 2008, 85, 311–317. [Google Scholar] [CrossRef] [PubMed]
  47. Mutiga, S.K.; Were, V.; Hoffmann, V.; Harvey, J.W.; Milgroom, M.G.; Nelson, R.J. Extent and drivers of mycotoxin contamination: Inferences from a survey of Kenyan maize mills. Am. Phytopathol. Soc. 2014, 104, 1221–1231. [Google Scholar] [CrossRef] [PubMed]
  48. Mutiga, S.K.; Hoffmann, V.; Harvey, J.; Milgroom, M.G.; Nelson, R. Assessment of aflatoxin and fumonisin contamination of maize in western Kenya. Phytopathology 2015, 105, 1250–1261. [Google Scholar] [CrossRef]
  49. Alinezhad, S.; Tolouee, M.; Kamalzadeh, A.; Motalebi, A.A.; Nazeri, M.; Yasemi, M.; Shams-Ghahfarokhi, M.; Tolouei, R.; Razzaghi-Abyaneh, M. Mycobiota and aflatoxin B1 contamination of rainbow trout (Oncorhinchus mykiss) feed with emphasis to Aspergillus section flavi. Iran. J. Fish. 2011, 10, 363–374. [Google Scholar]
  50. Muturi, P.M. A review of Nyeri county—Kenya strategic plan 2013–2017. Int. J. Econ. Commer. Manag. UK 2015, 3, 1364–1405. [Google Scholar]
  51. Mavuti, S.K.; Waruiru, R.M.; Mbuthia, P.G.; Maina, J.G.; Mbaria, J.M. Evaluation of fish farmer management practices in Nyeri County, Kenya. Int. J. Fish. Aquat. Stud. 2017, 5, 165–170. [Google Scholar]
  52. Anonymous. Nyeri County Intergrated Development Plan 2018–2022; Nyeri County Government: Nyeri, Kenya, 2018.
  53. Kenya Bureau of Standards. KS ISO 6497:2002 Standard on Animal Feeding Stuffs—Sampling; Kenya Bureau of Standards (KEBS): Nairobi, Kenya, 2009; pp. 1–19. [Google Scholar]
  54. R-Biopharm AG. RIDASCREEN® Aflatoxin Total, Enzyme Immunoassay for the Quantitative Analysis of Aflatoxins, Art. No.: R4701; R-Biopharm AG: Darmstadt, Germany, 2016; pp. 1–16. [Google Scholar]
  55. Brar, R.S.; Sandhu, H.S.; Singh, A. Veterinary Clinical Diagnosis by Laboratory Methods, 1st ed.; Kalyani Publishers: New Delhi, India, 2003. [Google Scholar]
Figure 1. Box plot comparing total aflatoxins levels in complete (n = 37), compound (n = 26) and ingredient (n = 18) feed types. The aflatoxins levels were not significantly different (p = 0.10) among the feed types. Legend: The grey boxes represent the middle 50% of the data in the group. The lines through the boxes represent the medians. The bottom and top of each box represent the 25th and 75th percentiles, respectively. The lines (whiskers) extending from the box represent 10th and 90th percentiles, respectively. The black dots represent individual outliers.
Figure 1. Box plot comparing total aflatoxins levels in complete (n = 37), compound (n = 26) and ingredient (n = 18) feed types. The aflatoxins levels were not significantly different (p = 0.10) among the feed types. Legend: The grey boxes represent the middle 50% of the data in the group. The lines through the boxes represent the medians. The bottom and top of each box represent the 25th and 75th percentiles, respectively. The lines (whiskers) extending from the box represent 10th and 90th percentiles, respectively. The black dots represent individual outliers.
Toxins 10 00543 g001
Figure 2. Box plot comparing total aflatoxins levels in feed samples from 5 sub-counties in Nyeri County. The aflatoxins levels were significantly different (p = 0.01) among the sub-counties. Kieni East had significantly lower levels than Tetu (p = 0.01), Othaya (p = 0.00) and Kieni West (p = 0.04). Legend: The grey boxes represent the middle 50% of the data in the group. The lines through the boxes represent the medians. The bottom and top of each box represent the 25th and 75th percentiles, respectively. The lines (whiskers) extending from the box represent 10th and 90th percentiles, respectively. The black dots represent individual outliers.
Figure 2. Box plot comparing total aflatoxins levels in feed samples from 5 sub-counties in Nyeri County. The aflatoxins levels were significantly different (p = 0.01) among the sub-counties. Kieni East had significantly lower levels than Tetu (p = 0.01), Othaya (p = 0.00) and Kieni West (p = 0.04). Legend: The grey boxes represent the middle 50% of the data in the group. The lines through the boxes represent the medians. The bottom and top of each box represent the 25th and 75th percentiles, respectively. The lines (whiskers) extending from the box represent 10th and 90th percentiles, respectively. The black dots represent individual outliers.
Toxins 10 00543 g002
Figure 3. Box plot comparing total aflatoxins levels in rainbow trout (n = 17) and tilapia (n = 64) fish feed samples. The aflatoxins levels were significantly different (p = 0.03) between rainbow trout and tilapia feeds. Legend: The grey boxes represent the middle 50% of the data in the group. The lines through the boxes represent the medians. The bottom and top of each box represent the 25th and 75th percentiles, respectively. The lines (whiskers) extending from the box represent 10th and 90th percentiles, respectively. The black dots represent individual outliers.
Figure 3. Box plot comparing total aflatoxins levels in rainbow trout (n = 17) and tilapia (n = 64) fish feed samples. The aflatoxins levels were significantly different (p = 0.03) between rainbow trout and tilapia feeds. Legend: The grey boxes represent the middle 50% of the data in the group. The lines through the boxes represent the medians. The bottom and top of each box represent the 25th and 75th percentiles, respectively. The lines (whiskers) extending from the box represent 10th and 90th percentiles, respectively. The black dots represent individual outliers.
Toxins 10 00543 g003
Figure 4. Box plot comparing total aflatoxins levels in commercial (n = 51) and homemade (n = 30) fish feed samples. The aflatoxins levels were significantly different (p = 0.05) between commercial and homemade feeds. Legend: The grey boxes represent the middle 50% of the data in the group. The lines through the boxes represent the medians. The bottom and top of each box represent the 25th and 75th percentiles, respectively. The lines (whiskers) extending from the box represent 10th and 90th percentiles, respectively. The black dots represent individual outliers.
Figure 4. Box plot comparing total aflatoxins levels in commercial (n = 51) and homemade (n = 30) fish feed samples. The aflatoxins levels were significantly different (p = 0.05) between commercial and homemade feeds. Legend: The grey boxes represent the middle 50% of the data in the group. The lines through the boxes represent the medians. The bottom and top of each box represent the 25th and 75th percentiles, respectively. The lines (whiskers) extending from the box represent 10th and 90th percentiles, respectively. The black dots represent individual outliers.
Toxins 10 00543 g004
Figure 5. (A,B) Rainbow trouts with multiple, yellow-grey nodular swellings (white arrow) in the livers.
Figure 5. (A,B) Rainbow trouts with multiple, yellow-grey nodular swellings (white arrow) in the livers.
Toxins 10 00543 g005
Figure 6. Rainbow trout liver sections showing (A) normal hepatocytes organized into regular cords and (B) abnormal, hyperchromatic hepatocytes (yellow arrowheads) forming thick, irregular cords and containing large nuclei (green arrows) with prominent nucleolus (Haematoxylin and Eosin [H&E], ×400).
Figure 6. Rainbow trout liver sections showing (A) normal hepatocytes organized into regular cords and (B) abnormal, hyperchromatic hepatocytes (yellow arrowheads) forming thick, irregular cords and containing large nuclei (green arrows) with prominent nucleolus (Haematoxylin and Eosin [H&E], ×400).
Toxins 10 00543 g006
Table 1. Total aflatoxins levels in complete, compound and ingredient feeds.
Table 1. Total aflatoxins levels in complete, compound and ingredient feeds.
Feed TypeOccurrence≥MLRangeMedianMedian 95% CIMean ± SDMean 95% CI
(n = 81)% (n)% (n)µg/kgµg/kgµg/kgµg/kgµg/kg
Complete45.7 (37)13.5 (5)<1.8–39.73.62.9–4.76.7 ± 7.73.6–8.9
Compound32.1 (26)34.6 (9)<1.8–31.24.82.8–12.08.9 ± 9.25.3–12.4
Ingredient22.2 (18)5.6 (1)<1.8–32.82.10.9–4.45.6 ± 8.31.7–9.5
Key: ≥, greater than or equal to; ML, maximum level; CI, confidence interval; SD, standard deviation; µg/kg, micrograms per kilogram; <, less than.
Table 2. Total aflatoxins levels in fish feed samples from each sub-county.
Table 2. Total aflatoxins levels in fish feed samples from each sub-county.
Sub-County (n = 81)Occurrence % (n)≥ML % (n)Range µg/kgMedian µg/kgMedian 95% CI µg/kgMean ± SD µg/kgMean 95% CI µg/kg
Tetu37.0 (30)23.3 (7)<1.8–31.24.1 *3.0–6.98.3 ± 8.65.1–11.4
Kieni East29.6 (24)0.0 (0)<1.8–5.52.8 2.4–3.62.9 ± 1.32.3–3.4
Nyeri Central13.6 (11)11.1 (1)<1.8–32.83.20.9–7.55.9 ± 9.30.3–11.5
Kieni West11.1 (9)33.3 (3)1.76–39.77.8 *2.0–26.512.9 ± 13.44.0–21.8
Othaya8.6 (7)57.1 (4)<1.8–18.211.4 *2.0–16.29.9 ± 5.65.5–13.9
Key: ≥, greater than or equal to; ML, maximum level; CI, confidence interval; SD, standard deviation; µg/kg, micrograms per kilogram; <, less than. * Othaya (p = 0.00), Tetu (p = 0.10) and Kieni West (p = 0.04) median levels significantly higher than Kieni East.
Table 3. Total aflatoxins levels in fish feed samples categorized by feed characteristic.
Table 3. Total aflatoxins levels in fish feed samples categorized by feed characteristic.
CharacteristicsOccurrence≥MLRangeMedianMedian 95% CIMean ± SDMean 95% CI
% (n)% (n)µg/kgµg/kgµg/kgµg/kgµg/kg
Source of fish feed (n = 81)
Fish farmers86.4 (70)18.6 (13)<1.8–39.73.83.1–4.77.2 ± 8.15.1–9.3
Manufacturer13.6 (11)18.2 (2)2.34–18.22.82.4–10.05.6 ± 5.22.5–8.7
Type of fish fed (n = 81)
Rainbow trout21.0 (17)0.0 (0)<1.8–5.22.82.4–3.43.0 ± 1.02.5–3.4
Tilapia79.0 (64)23.4 (15)<1.8–39.74.0 a3.2–6.08.1 ± 9.15.8–10.3
Feed group (n = 81)
Commercial63.0 (51)7.8 (4)<1.8–39.73.22.8–4.05.7 ± 7.83.6–7.9
Homemade37.0 (30)36.7 (11)<1.8–31.25.6 b3.2–11.89.2 ± 8.95.9–12.4
Form of feed (n = 81)
Pellets37.0 (30)10.0 (3)<1.8–39.73.22.8–4.65.9 ± 7.93.0–8.8
Crumble4.9 (4)0.0 (0)<1.8–5.230.9–5.33.0 ± 2.01.1–5.0
Mash49.4 (40)30.0 (12)<1.8–32.84.33.2–10.78.9 ± 9.26.1–11.8
Fine/Flour6.2 (5)0.0 (0)<1.8–7.80.90.9–7.82.9 ± 3.10.1–5.6
Cake2.5 (2)0.0 (0)<1.8–3.220.9–3.22.0 ± 1.6−4.6
Key: ML, maximum level; CI, confidence interval; SD, standard deviation; ≥, greater than or equal to; <, less than; µg/kg, micrograms per kilogram. a Tilapia feeds total aflatoxins levels significantly higher (p = 0.03) than levels in trout feeds. b Homemade feeds total aflatoxins levels significantly higher (p = 0.05) than levels in commercial feeds.
Table 4. Total aflatoxins levels in fish feed samples as per ingredient group.
Table 4. Total aflatoxins levels in fish feed samples as per ingredient group.
Ingredient GroupOccurrence≥MLRangeMedianMedian 95% CIMean ± SDMean 95% CI
(n = 55)% (n)% (n)µg/kgµg/kgµg/kgµg/kgµg/kg
Cereal milling by-products83.6 (46)21.7 (10)<1.8–32.83.52.8–5.67.6 ± 8.75.0–10.1
Animal proteins41.8 (23)21.7 (5)<1.8–29.14.03.2–8.87.8 ± 7.44.7–11.0
Oilseed cakes or meal18.2 (10)40.0 (4)<1.8–29.19.22.1–20.510.8 ± 9.44.8–16.8
Cereal grains12.7 (7)28.6 (2)2.2–13.43.22.3–13.06.4 ± 4.92.6–10.1
Key: ML, maximum level; CI, confidence interval; SD, standard deviation; ≥, greater than or equal to; <, less than; µg/kg, micrograms per kilogram.
Table 5. Total aflatoxins levels in fish feeds categorized by ingredients contained in the feeds.
Table 5. Total aflatoxins levels in fish feeds categorized by ingredients contained in the feeds.
IngredientOccurrence≥MLRangeMedianMedian 95% CIMean ± SDMean 95% CI
(n = 55)% (n)% (n)µg/kgµg/kgµg/kgµg/kgµg/kg
Oilseed cake or meal
Cotton seed cake12.7 (7)28.6 (2)<1.8–29.18.91.2–23.69.4 ± 9.62.1–16.6
Sunflower seed cake9.1 (5)60.0 (3)2.7–21.611.52.7–21.612.7 ± 7.46.0–19.3
Canola cake1.8 (1)100.0 (1)18.218.2-18.2-
Soya bean meal5.5 (3)66.7 (2)9.48–21.63.311.5–9.514.2 ± 6.56.7–21.7
Cereal milling by-products
Wheat bran52.7 (29)17.2 (5)<1.8–32.83.72.8–6.07.8 ± 9.04.5–11.2
Maize bran45.5 (25)32.0 (8)<1.8–33.25.6 *2.9–12.19.7 ± 9.26.1–13.4
Pollard25.5 (14)0.0 (0)<1.8–8.92.80.9–3.83.2 ± 2.51.9–4.5
Rice bran5.5 (3)0.0 (0)<1.8–4.54.00.9–4.53.1 ± 2.00.8–5.4
Maize germ1.8 (1)0.0 (0)4.04.0-4.0-
Animal proteins
Dried silver cyprinid fish16.4 (9)11.1 (1)2.34–13.43.42.8–4.74.4 ± 3.42.1–6.7
Fish meal16.4 (9)33.3 (3)3.18–29.17.0 *3.6–21.312.4 ± 9.56.1–18.7
Fresh water shrimp3.6 (2)0.0 (0)<1.8–2.71.80.9–2.71.8 ± 1.3−0.1–3.7
Bone meal3.6 (2)50.0 (1)9.5–21.63.82.9–5.410.5 ± 1.48.5–12.5
Blood meal1.8 (1)0.0 (0)4.04.0-4.0-
Cereal grains
Wheat9.1 (5)40.0 (2)2.19–13.42.62.2–13.46.5 ± 5.71.4–11.6
Maize1.8 (1)0.0 (0)3.23.2-3.2-
Rice1.8 (1)0.0 (0)8.98.9-8.9-
Others
Greens11.0 (6)16.7 (1)<1.8–13.42.50.9–12.33.8 ± 4.8−0.1–7.7
Multivitamin10.3 (6)16.7 (1)2.40–13.43.82.5–12.45.1 ± 4.11.7–8.4
Dairy meal5.5 (3)0.0 (0)<1.8–4.02.20.9–4.02.3 ± 1.60.6–4.1
Poultry manure5.5 (3)0.0 (0)<1.8–2.00.90.9–2.01.2 ± 0.60.5–2.0
Key: ML, maximum level; CI, confidence interval; SD, standard deviation; ≥, greater than or equal to; <, less than; µg/kg, micrograms per kilogram. * Significant difference between feeds with ingredient and those without ingredient where p ≤ 0.05.
Table 6. Fish health problems reported in farms visited.
Table 6. Fish health problems reported in farms visited.
Reported Health ProblemsRainbow Trout (n = 8)
% (n)
Tilapia (n = 14)
% (n)
Total (n = 22)
% (n)
p Value
No mortalities75.0 (6)64.3 (9)68.2 (15)1.000
Mortalities25.0 (2)35.7 (5)31.8 (7)
Normal appetite87.5 (7)92.9 (13)90.9 (20)1.000
Poor appetite12.5 (1)7.1 (1)9.1 (2)
Normal growth rates75.0 (6)42.9 (6)54.5 (12)0.204
Poor growth rates25.0 (2)57.1 (8)45.5 (10)
No tumor-like lesions12.5 (1)92.9 (13)63.6 (14)<0.001 *
Tumor-like lesions87.5 (7)7.1 (1)36.4 (8)
Key: * Significnat difference where p ≤ 0.05.
Table 7. Pathological lesions observed on gross and microscopic examination of fish.
Table 7. Pathological lesions observed on gross and microscopic examination of fish.
Pathological Lesions ObservedRainbow TroutTilapiaTotal
Farms
(n = 8)
Fish
(n = 80)
Farms
(n = 4)
Fish
(n = 40)
Farms
(n = 12)
Fish
(n = 120)
% (n)% (n)% (n)% (n)% (n)% (n)
Gross lesions
Swollen abdomen62.5 (5)46.3 (37)50.0 (2)12.5 (5)58.3 (7)35.0 (42)
Enlarged liver62.5 (5)60.0 (48)0.0 (0)0.0 (0)41.7 (5)40.0 (48)
Nodules or cystic swellings in liver62.5 (5)50.0 (40)0.0 (0)0.0 (0)41.7 (5)33.3 (40)
Liver hemorrhages100.0 (8)91.3 (73)25.0 (1)17.5 (7)75.0 (9)66.7 (80)
Muscular hemorrhages50.0 (4)30.0 (24)0.0 (0)0.0 (0)33.3 (4)20.0 (24)
Enlarged heart62.5 (5)40.0 (32)0.0 (0)0.0 (0)41.7 (5)26.7 (32)
Enlarged kidneys62.5 (5)56.3 (45)0.0 (0)0.0 (0)41.7 (5)37.5 (45)
Hemorrhagic intestinal content37.5 (3)32.5 (26)50.0 (2)17.5 (7)41.7 (5)27.5 (33)
Total gross lesions (n = 8)100.0 (8)50.8 (325)37.5 (3)5.9 (19)100.0 (8)35.8 (344)
Microscopic lesions in liver
Irregular hepatic cords62.5 (5)57.5 (46)0.0 (0)0.0 (0)41.7 (5)38.3 (46)
Abnormal hepatocytes62.5 (5)62.5 (50)25.0 (1)7.5 (3)50.0 (6)44.2 (53)
Liver necrosis87.5 (7)61.3 (49)25.0 (1)20.0 (8)66.7 (8)47.5 (57)
Cytoplasmic vacuoles in hepatocytes100.0 (8)100.0 (80)0.0 (0)0.0 (0)66.7 (8)66.7 (80)
Hyperchromatic nucleus87.5 (7)72.5 (58)0.0 (0)0.0 (0)58.3 (7)48.3 (58)
Prominent nucleolus75.0 (6)45.0 (36)0.0 (0)0.0 (0)50.0 (6)30.0 (36)
Total microscopic lesions (n = 6)100.0 (6)66.5 (319)33.3 (2)4.6 (11)100.0 (6)45.8 (330)
Total pathological lesions (n = 14)100.0 (14)57.5 (644)33.3 (2)5.4 (30)100.0 (14)40.1 (674)

Share and Cite

MDPI and ACS Style

Mwihia, E.W.; Mbuthia, P.G.; Eriksen, G.S.; Gathumbi, J.K.; Maina, J.G.; Mutoloki, S.; Waruiru, R.M.; Mulei, I.R.; Lyche, J.L. Occurrence and Levels of Aflatoxins in Fish Feeds and Their Potential Effects on Fish in Nyeri, Kenya. Toxins 2018, 10, 543. https://0-doi-org.brum.beds.ac.uk/10.3390/toxins10120543

AMA Style

Mwihia EW, Mbuthia PG, Eriksen GS, Gathumbi JK, Maina JG, Mutoloki S, Waruiru RM, Mulei IR, Lyche JL. Occurrence and Levels of Aflatoxins in Fish Feeds and Their Potential Effects on Fish in Nyeri, Kenya. Toxins. 2018; 10(12):543. https://0-doi-org.brum.beds.ac.uk/10.3390/toxins10120543

Chicago/Turabian Style

Mwihia, Evalyn Wanjiru, Paul Gichohi Mbuthia, Gunnar Sundstøl Eriksen, James K. Gathumbi, Joyce G. Maina, Stephen Mutoloki, Robert Maina Waruiru, Isaac Rumpel Mulei, and Jan Ludvig Lyche. 2018. "Occurrence and Levels of Aflatoxins in Fish Feeds and Their Potential Effects on Fish in Nyeri, Kenya" Toxins 10, no. 12: 543. https://0-doi-org.brum.beds.ac.uk/10.3390/toxins10120543

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop