Next Article in Journal
Differential Physiological Response and Antioxidant Activity Relative to High-Power Micro-Waves Irradiation and Temperature of Tomato Sprouts
Next Article in Special Issue
Responses of Lactation, Rumen Fermentation and Blood Biochemical Parameters with Increasing Dietary Inulin Supplementation in Mid-Lactation Dairy Cows
Previous Article in Journal
Microbiological and Toxicological Evaluation of Fermented Forages
Previous Article in Special Issue
Sequential Action of Different Fiber-Degrading Enzymes Enhances the Degradation of Corn Stover
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Effects of Dietary Natural Mycotoxins Exposure on Performance, Biochemical Parameters and Milk Small Molecule Metabolic Pathways of Lactating Cows

1
Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
2
Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
3
Henan Institute of Science and Technology, Xinxiang 453003, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this paper.
Agriculture 2022, 12(3), 420; https://doi.org/10.3390/agriculture12030420
Submission received: 15 February 2022 / Revised: 11 March 2022 / Accepted: 14 March 2022 / Published: 16 March 2022
(This article belongs to the Special Issue Dairy Cow Nutrition and Milk Quality)

Abstract

:
The presence of mycotoxins in feed has the potential to cause significant detriment to animal and human health, and even severe economic implications. Previous studies on the effects of mycotoxins mainly focused on the addition of commercially available mycotoxins into feeds in animals. In the present study, corn meal and cottonseed were kept in warm and humid conditions to allow for mycotoxins produced and then used to substitute 50% and 100% of normal corn meal and cottonseed in diets for lactating cows for 14 days. The results showed that aflatoxin M1, deoxynivalenol, aflatoxin B1, and zearalenone were primary mycotoxins in milk from cows fed the diets. Compared with the control group, feeding the diets containing mildewy corn meal and cottonseed reduced feed intake, milk yield, and milk fat, protein and lactose productions (p > 0.05). No significant difference was observed in the acetate and valerate concentrations, acetate to propionate ratio, and the calculated CH4 production in rumen fluid (p > 0.05), whereas, the propionate, butyrate, isovalerate concentrations were affected (p < 0.05) depending on the content and type of natural mycotoxins. Serum creatinine and total glyceride concentrations were influenced with corn meal and cottonseed fully replaced with the mildewy feeds. Metabolic pathways for small molecule metabolites in milk were altered by dietary mycotoxin exposures, and the changes were mainly associated with amino acid metabolism, glucose metabolism, and energy metabolism. However, cows exposed to natural mycotoxins in the diets were still in healthy conditions and had low somatic cell count in milk.

1. Introduction

Milk containing mycotoxins is a critical safety issue for milk quality. The occurrence of mycotoxins in milk is likely from mycotoxin-contaminated feeds that are fed to lactating cows. The maximum permissible limit of mycotoxins in feeds has been extensively established worldwide [1,2,3,4]. For instance, the allowable limit of aflatoxin B1 in feed for lactating cows is 20 µg/kg in America [2], and 10 µg/kg and 5 µg/kg in China and the European Union respectively [3,4]. The vomitoxin limit in the European Union is 1270–1750 µg/kg and 5000–10,000 µg/kg in the United States of America (USA). The fumonisin limit is 5–100 µg/kg in the USA, and 2000 µg/kg in the European Union [2,3]. Ma et al. [5] investigated contamination of mycotoxins in feedstuffs in China and found that aflatoxin B1, zearalenone, and deoxynivalenol were widely present in all the feedstuffs studied, and these toxins, as well as α-zearalenol, were detected in 50 raw milk samples [6]. Hence, aflatoxins, zearalenones, and deoxynivalenol are three main mycotoxins present in milk. In particular, aflatoxin M1 is a potent toxic mycotoxin which is classified as a Group 1 human carcinogen by the International Agency for Research on Cancer (IARC) [7]. Furthermore, aflatoxin M1 is the only mycotoxin that has been established for the maximum residual limit in milk around the world [8,9].
Mycotoxins found in milk are from mycotoxins-contaminated feeds fed to lactating dairy cows. Dairy cattle feeds are extremely susceptible to mycotoxins infection and contamination during harvest, production, processing, and storage [10,11]. Environmental temperature and humidity, feed surface moisture, and substrate are the major influencing factors for mycotoxins growth. A 25–30 °C temperature is most suitable for fungus growth and mycotoxins reproduction, and 28–32 °C is the optimum toxigenic temperature for Aspergillus flavus. Feed moisture exceeding 13% may cause mildew growth and mycotoxin production. Furthermore, the mycotoxins produced by different raw material substrates are also different. Aflatoxins are derived from a group of secondary metabolites that are synthesized by Aspergillus flavus and Aspergillus parasiticus, which can be found in maize, cottonseed, walnut, peanut, etc., [12,13]. Zearalenone is a secondary metabolite produced by various Fusarium species that are frequently present in cereal grains, such as maize, barley, oats, and sorghum [14]. Deoxynivalenol, also known as vomitoxin, is one of the most commonly occurring mycotoxins of the group B trichothecenes produced by Fusarium molds [15,16]. Deoxynivalenol pollution commonly occurs in temperate regions, and is frequently found in foods or feeds, such as wheat, barley, oats, and maize [17]. Because of the presence of mycotoxins in various feedstuffs, mycotoxin contamination of feeds for dairy cows is almost unavoidable. Therefore, a suitable storage and transportation condition is of particular importance. A significant amount of work has also been focused on the adverse effect of mycotoxins on the performance and health of dairy cows [18,19,20], especially aflatoxins B1. Studies have found that aflatoxin B1 contamination of feeds for dairy cows significantly reduced feed intake, feed efficiency, and milk yield, affected the serum biochemical parameters and detoxification metabolism, and caused immune system change and organ damage [19,21]. Additionally, mycotoxins contamination also influenced the animal byproducts that cause harmful effects on food safety and human health resulting in significant economic losses. Similarly detrimental effects have also been reported for deoxynivalenol and zearalenone contaminations in dairy cows [22,23,24]. In these studies, pure mycotoxins were used. However, alone they are unable to accurately mimic the actual situations of factor and degree in mildew, because one species of fungi may produce more than one mycotoxin concomitantly, and different fungal species may coexist in the same feed [11], which means its guiding significance for the production process of dairy cows is limited. Fewer research has been carried out using natural mycotoxins in feeds and the effects of combined mycotoxins.
In the present study, we examined the effects of mycotoxins, namely aflatoxin (B1, B2), zearalenone, and deoxynivalenol naturally present in maize and cottonseeds in dairy cows to reflect the normal farming practice. The effects of these toxins on feed intake, milk production and composition, rumen fermentation, and some small molecular metabolites in milk were determined.

2. Materials and Methods

2.1. Animals, Management, and Sample Preparation

The use of the animal and the experimental procedures were approved by the Animal Care and Use Committee of the Institute of Animal Science, Chinese Academy of Agricultural Sciences (No. IAS15020; Date: 16 July 2015). The experiment was performed at Ningxia Sinofarm Dairy Farm, Helan, Ningxia, China. The temperature and humidity recorded at the Farm were respectively 25–36 °C and 20–30%, from August to September in 2018. Forty multiparous Holstein cows in late lactation (lactation length: 263 ± 22 days, milk yield: 21.1 ± 2.6 kg/d, parity: 2.5–3.5 times) were used in this study. Cows were randomly divided into five groups, eight animals per group. The basal diet (Table 1), containing cornmeal and cottonseed, was formulated to meet the nutrient requirement of lactating cows for production of 25 kg/d of milk (Ministry of Agriculture of China, 2004 [25]).
To mimic natural mildewy conditions, the mildew feed was prepared under the local temperature and humidity conditions in Ningxia. Two tons of corn meal and 1.5 tons of cottonseed were selected, and 35% and 28.5% water was added to corn meal and cottonseed respectively and mixed for 30–40 min by a self-propelled TMR vehicle. Then they were placed in separate feed bunks mildew for 15 days. Mildew corn meal and cottonseed were subsequently spread out and dried for 5–7 days until the water content was under 10% to prevent secondary mildew. Mildew cottonseed and corn meal were stored in separate feed bunks, but the mildew corn meal needed to be smashed again by a pulverizer. Mycotoxin concentrations of dry matter in the mildew feed raw material and experimental diets were measured, and the results are shown in Table 2 and Table 3. Five groups of the animals were then randomly allocated to five diets as following [20]:
  • Control (Cont) group: fed the basal diet;
  • 50Cot group: 50% cottonseed in the basal diet was substituted with the moldy cottonseed;
  • 100Cot group: all cottonseed in the basal diet were substituted with the moldy cottonseed;
  • 50CotCorn group: 50% cottonseed and 50% corn meal in the basal diet were substituted with the moldy cottonseed and moldy corn meal;
  • 100CotCorn: all cottonseed and corn meal in the basal diet substituted with the moldy cottonseed and moldy cornmeal.
Table 2. Comparison of major mycotoxins’ levels (µg/kg dry matter) 1 in corn meal and cottonseed naturally mildewed and non-mildewed.
Table 2. Comparison of major mycotoxins’ levels (µg/kg dry matter) 1 in corn meal and cottonseed naturally mildewed and non-mildewed.
Item (µg/kg)Non-MildewedMildewed
Corn MealCottonseedCorn MealCottonseed
Aflatoxins<333>150 2
Zearalenones<2724049084
Deoxynivalenol<35001250ND 3
1 The mycotoxins in corn meal and cottonseed were determined by immunochromatography [26]. 2 >150, exceed the maximum limit of detection of 150 µg/kg. 3 ND, not detected.
Table 3. The concentrations of major mycotoxins (µg/kg dry matter) 1 in the experimental diets for dairy cows.
Table 3. The concentrations of major mycotoxins (µg/kg dry matter) 1 in the experimental diets for dairy cows.
Item (µg/kg)Control50Cot100Cot50CotCorn100CotCorn
Aflatoxin B10.0228.6761.3430.1059.91
Zearalenones160.33161.25165.14216.85248.34
Deoxynivalenol1654.311672.031697.741736.911791.16
Aflatoxin B20.831.582.821.442.98
Aflatoxin G112.9413.0712.0912.6614.38
Aflatoxin G2ND 2NDNDNDND
LysergolNDNDNDNDND
SterigmatocysinNDNDNDNDND
T-2 ToxinNDNDNDNDND
HT-2 ToxinND NDNDNDND
ZearalanoeNDNDNDNDND
α-ZearalenolNDNDNDNDND
1 The mycotoxins residue in diets were determined by liquid chromatography-mass spectrometry/mass spectrometry method [27]. 2 ND, not detected.
Cows were kept in individual stable. The diets were prepared as total mixed ration and fed three times daily at 08:30, 16:30, and 00:30, and milked three times per day at 08:00, 16:00, and 24:00. Fresh drinking water was available all the time. The experiment lasted for 28 days, including 14 days on the basal diet (adaptation period), 14 days on the experimental diets (experimental period).

2.2. Sample Collection and Preparations

The feed offered and refusal were weighed daily to calculate feed intake of individual cows during the experimental period. Feed and refusal were sampled daily, pooled at the end of the experiment, and dried at 65 °C for 48 h. Dried samples were ground and passed through a 40-mesh sieve and stored at −2 °C until analysis.
Milk samples were collected on day 1, 2, 3, 5, 7, 13, and 14 of the experimental period. At each milking, the milk yield was recorded by a digital milk meter (Bou-matic Ltd., Madison, WI, USA), and a sample was collected. Three milk samples for each day were pooled, and four aliquots (each 50 mL) were stored at −20 °C. One aliquot was added with bronopol to prevent spoilage of milk and stored at −4 °C before the determination of milk composition. One aliquot milk sample on day 14 was stored at −20 °C for analysis of the metabolites. The rest milk samples were stored at −20 °C for determination of the mycotoxin concentrations.
Blood samples, each 15–20 mL, were drawn from the jugular vein before the morning feeding on day 14 of the experimental period. Plasma was harvested by centrifugation at 3200× g for 15 min, and eight aliquots were stored at −20 °C until analyses of blood parameters.
The ruminal fluid from each cow was collected with an oral stomach tube (A1141K, Anscitech, Wuhan, China) 2 h after the morning feeding on day 14 of the experimental period. The oral stomach tube was rinsed with water and the first 80–100 mL of liquid was discarded to avoid cross contamination between cows. A total of 50 mL of rumen fluid was filtered through four layers of gauze. The pH value of the fluid was measured immediately, and the sample was stored at −20 °C for analyses of fermentation parameters.

2.3. Sample Analyses

The chemical composition of feeds and refusal samples were analyzed for dry matter (DM) (Association of Official Analytical Chemists [AOAC] 930.5), ash content (AOAC 942.05), crude protein (CP) (AOAC 984.13), neutral detergent fiber (NDF) (AOAC 2002.04), and acid detergent fiber (ADF) (AOAC 973.18) [28]. Milk samples were analyzed for milk protein, fat, lactose, total solids, milk urea nitrogen (MUN), and somatic cell count (SCC) using an automatic milk composition analyzer (Combi Milkoscan FT + & Fossomatic FC, Foss Electric, Hillerod, Denmark). Analysis of mycotoxin residues in milk using a liquid chromatograph-mass spectrum was conducted following the method reported by Huang et al. [6].
The plasma samples were analyzed for biochemical parameters using an Auto-Analyzer 7020 (Hitachi High-Technologies Corporation, Tokyo, Japan) with commercial kits (DiaSys Diagnostics Systems GmbH, Frankfurt, Germany). The biochemical parameters included albumin (ALB), globulin (GLOB), creatinine (CR), alanine aminotransferase (ALT), aspartate aminotransferase (AST), albumin to globulin ratio (A/G), alkaline phosphatase (ALP) activity, total bilirubin (TBiL), direct bilirubin (DBiL), indirect bilirubin (IBiL), γ-glutamyl transpeptidase (GGT), total cholesterol (TC), total triglyceride (TG), uric acid (UA), and urea.
The rumen fluid samples were analyzed for rumen fermentation parameters using a gas chromatography equipped with a flame ionization detector (GC-7890, Agilent Technologies Corporation, Santa Clara, CA, USA) [29]. The rumen liquid (1 mL) was deproteinized with 200 µL of 25% metaphosphoric acid, and centrifuged at 13,000× g for 10 min at 4 °C. The supernatant was filtered through a 0.22 µm filter before the GC analysis. The GC parameters were set as follows: injector temperature 200 °C, column temperature 180 °C, detector temperature 200 °C; carrier gas was high purity (99.99%) nitrogen (Beijing Beiwen Gas Co., Ltd., Beijing, China), total pressure 85 kPa, circulation flow rate 7 mL/min, oxygen flow rate (39.9%, Beijing Beiwen Gas Co., Ltd., Beijing, China) 30 mL/min, and air flow rate 350 mL/min.
Small molecular metabolites in milk samples were determined by ultra-performance liquid chromatography (UPLC) (ACQUITY UPLC I-Class, Waters, Manchester, UK), equipped with high-resolution mass spectrometers (MS/MS, ESI-QTOF/MS, Xeyo G2-5, Waters, Manchester, UK). Milk (0.1 mL) and was transferred into 2 mL Axygen centrifuge tube (Corning, Tewksbury, NY, USA) and mixed with 1.4 mL methanol (with 0.1% formic acid), and vortexed for 30 s. Samples were kept at −20 °C for a few min to accelerate protein precipitation, then centrifuged at 12,000× g for 10 min at 4 °C. The supernatant (1 mL) was collected into an injection vial (with filter membrane), and stored at −20 °C for later UPLC-MS/MS analysis. Milk small molecular metabolites were determined according to methods in the reference [30].

2.4. Data Calculation and Statistical Analysis

Data on dry matter intake, milk yield, milk composition, serum biochemical parameters, and rumen fluid volatile fatty acids (VFAs) were preliminary processed using Excel 2010 and then subjected to one-way ANOVA. The general linear model procedure was used for all of them and then Student Newman Keuls post hoc tests on the differences between the means once the ANOVA indicated a significant effect of the treatment (Version 10.0, SAS Institute Inc., Cary, NC, USA). Significance was declared when p value was ≤0.05. Graphs were produced using Origin 2021 (OriginLab Corporation, Northampton, MA, USA).
The LC-MS/MS data were analyzed with multivariate analysis using the Progenesis QI software (Waters, Wilmslow, UK), subjected to searching HMDB database for compound matching. MetaboAnalyst 3.0 (https://www.metaboanalyst.ca (accessed on 14 February 2022)) was used to analyze the pathways mostly relevant to mycotoxin contamination in the milk metabolic pathways through data input, compound identification matching, pathway analysis (including pathway enrichment analysis and pathway topology analysis).

3. Results

3.1. Mycotoxin Residues in Milk

Feeding the cows with the diets containing mildewy corn meal and cottonseed resulted in a significant increase in the major mycotoxin residues in milk compared with the control group (Figure 1). Aflatoxin M1 and deoxynivalenol concentrations were significantly greater in groups 100Cot, 50CotCorn, and 100CotCorn (p < 0.05), and aflatoxin B1 and zearalenone concentrations were significantly greater in group 100Cot (p < 0.05) compared with the control group.

3.2. Feed Intake, Milk Yield, and Milk Composition

As shown in Table 4, feeding the cows with the diets containing mildewy corn meal and cottonseed significantly affected the production performances including feed intake, milk composition, and yield. When compared with the control group, the dry matter intake was significantly lower in groups 100Cot, 50CotCorn, and 100CotCorn (p < 0.05), but not in group 50Cot (p > 0.05). The milk yield was greater in group 50Cot (p < 0.05), but not different in groups 100Cot, 50CotCorn, and 100CotCorn (p > 0.05). The content of 4% fat-corrected milk (4% FCM) and energy-corrected milk (ECM) was similar between the control and group 50Cot (p > 0.05), and significantly lower in groups 100Cot, 50CotCorn, and 100CotCorn (p < 0.05). The milk fat concentration was lowered in groups 50Cot and 100Cotcorn (p < 0.05), but did not differ in groups 100Cot and 50CotCorn (p > 0.05). The milk protein concentration was low only in group 100CotCorn (p < 0.05). The milk lactose concentration was greater in group 50Cot (p < 0.05). The total solids concentration was low only in group 100CotCorn (p < 0.05). SCC was lower in groups 50Cot, 50CotCorn, and 100Cotcorn (p < 0.05) than the control. There was no significant change in the feed efficiency ratio (FER) and MUN concentration among the five groups (p > 0.05).

3.3. Serum Biochemical Parameters

Biochemical parameters in serum are shown in Table 5. Compared with the control group, the creatinine (CR) concentration was significantly lower only in group 100CotCorn (p < 0.05), and total glyceride concentration (TG) was greater in groups 100Cot and 100CotCorn (p < 0.05). No significant difference was observed in the other parameters, such as total protein, albumin, globulin, alanine aminotransferase, aspartate aminotransferase, the albumin/globulin ratio, alkaline phosphatase, total bilirubin, direct bilirubin, indirect bilirubin, γ-glutamyl transpeptidase, total cholesterols, and uric acid (p > 0.05).

3.4. Rumen Function

Rumen fermentation parameters are shown in Table 6. Compared with the control, no significant difference was observed in the acetate concentration, the acetate to propionate ratio, valerate concentration, the total VFA concentration, and the calculated CH4 production for the other four groups (p > 0.05). The propionate concentration was significantly greater in group 50Cot; the isobutyrate concentration was significantly greater in groups 50CotCorn and 100CotCorn; the butyrate concentration was lower in group 100Cot; and the isovalerate concentration was significantly greater in group 50Cot than those for the control (p < 0.05).

3.5. Mycotoxin-Induced Metabolomic Changes in Milk

The enrichment analysis and path impact values of different pathways were performed by using the metabolomics view map originated from pathway topology analysis (MetaboAnalyst3.0). The pathways ranked in the top four were glycine, serine, and threonine metabolism, pyruvate metabolism, taurine and hypotaurine metabolism, and citrate cycle (TCA cycle), and the corresponding pathway impact values were 0.48, 0.42, 0.35, and 0.33, respectively (Figure 2).
Principal component analysis (PCA) was performed to obtain an overview of the metabolites in milk among the five groups. The values of abscissa and ordinate were used as pathway impact and pathway enrichment of differential metabolites in metabolic pathways, in other words, the greater the number of differential metabolites means that the corresponding pathway was more important. As shown in Figure 3, the difference between groups 50CotCorn and 100CotCorn was greater than that between the other three groups.
Figure 2. Metabolome view map showing the matched pathways according to the p values obtained from pathway enrichment analysis and the pathway impact values produced by pathway topology analysis. (a) Glycine, serine and threonine metabolism; (b) pyruvate metabolism; (c) taurine and hypotaurine metabolism; (d) citrate cycle (TCA cycle). In the map, dots with larger sizes and darker colors represent greater pathway enrichment and greater pathway impact values, respectively.
Figure 2. Metabolome view map showing the matched pathways according to the p values obtained from pathway enrichment analysis and the pathway impact values produced by pathway topology analysis. (a) Glycine, serine and threonine metabolism; (b) pyruvate metabolism; (c) taurine and hypotaurine metabolism; (d) citrate cycle (TCA cycle). In the map, dots with larger sizes and darker colors represent greater pathway enrichment and greater pathway impact values, respectively.
Agriculture 12 00420 g002
Figure 3. Principal component analysis plot for metabolites in milk detected by using LC-MS/MS. Green (A) Control group; mineral blue (B) 50Cot group; red (C) 100Cot group; yellow (D) 50CotCorn group; azure (E) 100CotCorn group.
Figure 3. Principal component analysis plot for metabolites in milk detected by using LC-MS/MS. Green (A) Control group; mineral blue (B) 50Cot group; red (C) 100Cot group; yellow (D) 50CotCorn group; azure (E) 100CotCorn group.
Agriculture 12 00420 g003

4. Discussion

Mycotoxin contamination is an important topic with a significant impact on feed and food safety. So far, although numerous studies on mycotoxin addition have been reported, relatively little has been focused on the natural mildew. In comparison to the major literature [18,21,33,34] that added single pure mycotoxin, this study has a higher mycotoxin level in feed by natural mildew.

4.1. Natural Mycotoxins Residues in Milk

In the present study during the 14 days of experiments, feeding dairy cows with diets containing mildewy corn meal and cottonseed for 14 days resulted in substantial increases of natural mycotoxin residues in milk, particularly aflatoxin M1 from the diets containing mildewy cottonseed. Aflatoxin M1 was derived from oxidation of four hydroxy derivatives of aflatoxin B1 in the hepatic microsomal mixed function oxidase system in cows [18]. A number of countries have set up strict legal regulations on aflatoxin M1 residue in milk, and the maximum allowance is 0.05 µg/kg milk by the European Union and 0.5 µg/kg milk in China, the USA, and Japan [8,9]. Previous studies have shown that aflatoxin M1 excreted in milk can reach 0.08–0.39 µg/kg when 20 µg/kg and 40 µg/kg aflatoxin B1 is added to Holstein cows’ feed [18,21]. In the present study after the 14 days of experiments, the natural mycotoxin M1 residue was 0.64–1.58 µg/kg in milk of the cows fed the moldy feeds, exceeding the limits and the literature. Additionally, the aflatoxin M1 conversion in milk was 1.91–2.86%, which was slightly higher than some reports [18,21]. This may be attributed to the effect of aflatoxin B1 content, individual differences between cows, and synergistic effects of mycotoxins. The contents of aflatoxin M1 in 100Cot group is significantly higher than that obtained with 100CotCorn (Figure 1) even if the initial contents of these groups in aflatoxin B1 is almost the same. Therefore, interaction (antagonism) between molecules of Cot and Corn could lead to the reduction of aflatoxin M1 in 100CotCorn.

4.2. Effects of Natural Mycotoxin in Feed Intake, Milk Yield and Milk Composition

Feed intake, milk yield and milk composition are important reference indexes for the performance of lactating cows, and to a certain extent, also reflect the health state of cows. Feeding a diet containing mildewy components to ruminant can cause many adverse effects, such as a loss of appetite, decreases in feed intake and milk production [19]. In the present study during the 14 days of experiments, there was a decreasing trend for the dry matter intake, milk yield, 4% FCM, and ECM with the increasing amounts of mildewy corn meal and cottonseed in the diet. Our results are similar to the finding by Jones et al. where feeding 140 dairy cows with a diet containing 20 µg/kg Aflatoxin B1 decreased their feed intake and milk production [34]. However, Battacone et al. [35] found feeding lactating sheep with diets containing 32 and 64 µg/kg AFB1 had no influence on sheep’s performance, which is in agreement with no obvious influence of dietary aflatoxin B1 on milk production in lactating cows by Kutz [36]. The reason for the no detrimental effects of the dietary mycotoxin levels on the productive performance of sheep and cows might be attributed to the dietary mycotoxin level not exceeding the threshold for toxic effects.
In the present experiment during the 14 days of experiments, we found feeding diets containing mildewy corn meal and cottonseed changed milk compositions, such as fat, protein, and total milk solids, as well as somatic cell counts. The finding agrees with previous studies that observed a high correlation between dietary aflatoxin B1 level and milk composition in lactating cows [21,37]. Numerous studies have also demonstrated the effect of dietary mycotoxin contamination on milk composition. Keese et al. [37] fed 27 German Holstein lactating dairy cows with a diet containing 4.4 mg/kg vomitoxin and found that milk fat concentration was increased, however, when the dietary vomitoxin exceeded 4.6 mg/kg, the milk yield increased but milk fat and milk protein concentrations decreased. Queiroz et al. [38] found similar results. MUN is a crucial indicator to the evaluation of dietary energy level, protein metabolism in the body, and reproductive performance in dairy cows [36]. In the present study during the 14 days of experiments, no significant difference in MUN between the five groups might imply no significant change in the metabolism by natural mycotoxins in the diets. SCC is an indicator to the health status of lactating cows [39]. In cows that are healthy or have no intramammary infection and mastitis, SCC should be lesser than 200,000/mL [40]. In the present study during the 14 days of experiments, SCC was below 200,000/mL for all cows, and showed no difference between the groups, indicating good healthy conditions of the cows under the farming management and conditions.

4.3. Effects of Natural Mycotoxin in Serum Biochemical Parameters

Biochemical parameters in serum could reflect the healthy and metabolic status of the organs (liver and kidneys in particular) and the whole body [18,19]. The effect of dietary mycotoxins on serum biochemical parameters is not conclusive. For example, Battacone et al. [35] found that dairy goats fed diets contaminated with aflatoxin B1 (2.30 and 5.03 µg/kg) showed no change in plasma ALP, AST, and ALT levels. This finding agrees with a report by Wang et al. [21]. However, Queiroz et al. [38] found that when aflatoxin B1 in diets for lactating cows reached 75 µg/kg, the plasma concentration of haptoglobin was reduced, indicating a non-specific immune stress occurring in the body. In the present study during the 14 days of experiments, there was no significant difference in most of the serum biochemical parameters between the control and the other four treatments, likely due to the low level of the mycotoxin in the diets. Our results are supported by the findings from a previous study [21].

4.4. Effects of Natural Mycotoxins in Rumen Fermentation

VFAs and CH4 are byproducts of ruminal fermentation [41], which are often used to evaluate the efficiency of ruminal microbial fermentation [18]. Several reports have shown that mycotoxin contamination of feeds or diet affects rumen fermentation [20,21,41,42]. Data from the present study during the 14 days of experiments are broadly consistent with the results by Jiang et al. [42] and Santos et al. [43]. Individual VFAs, namely propionate, isobutyrate, butyrate, isovalerate, and valerate were affected by the dietary levels of natural mycotoxins in the present study. In addition, there was no significant change in the acetate to propionate ratio, indicating that the primary pattern of rumen fermentation was not affected by natural mycotoxins present in mildewy corn meal and cottonseed during the 14 days of experiments. The results agree with the report by Wang et al., where aflatoxin B1 and mildewy cottonseed were studied [20,21].

4.5. Milk Metabolomic Pathway Changes Induced by Natural Mycotoxins

In the current study, the changes in small molecule metabolites in milk was used an LC-MS/MS metabolic method. The results indicate that dietary mycotoxin exposure significantly affected the amino acid metabolism, carbohydrate metabolism, and energy metabolism in the mammary gland (Figure 2 and Figure 3). Similar studies have shown that dietary aflatoxin B1 exposure and feeding diet containing mycotoxins-contaminated cottonseed significantly affected rumen fermentation and metabolites in both plasma and milk in lactating cows by using NMR-based metabolomic method [20,21].
Previous research showed that amino acids metabolism was affected by mycotoxins [20]. Serine is derived from 3-phospho-D-glycerate, and glycine is derived from serine [44]. Threonine is an essential amino acid that is derived from aspartate in bacteria and plants, and metabolized to generate glycine and serine [45]. In the present study, glycine, serine, and threonine metabolism had the greatest impact score in the metabolic pathway analysis, indicating that dietary mycotoxin exposure may result in a disorder of amino acids metabolism. Glycine, serine, and threonine are all glucose-producing amino acids [46]. Studies have shown that the change in glucose metabolism may be an important metabolic alteration caused by mycotoxin exposure [47]. Therefore, dietary mycotoxin exposure may affect amino acid metabolism and glucose metabolism in the mammary gland.
Pyruvate is the intermediate product of glycolytic metabolism [48], which plays an important role in glucose metabolism, amino acid metabolism, citrate cycle, and fatty acid metabolism [49]. Pyruvate realizes the mutual conversion of sugars, fats, and amino acids in the body through the acetyl CoA and tricarboxylic acid cycles. More importantly, pyruvate is the end product of glycolysis and a raw material for gluconeogenesis. In this study, the detection and pathway analysis of small molecular metabolites in milk showed that pyruvate metabolism was significantly enriched after the dietary mycotoxin exposure. The tricarboxylic acid (TCA) cycle is a central hub of carbohydrate, lipid, and amino acid metabolism [50] and also the primary pathway that the body procures energy from and for the biosynthesis of raw materials. Cheng et al. [46] reported that dietary AFB1 exposure may disrupt the tricarboxylic acid cycle in goats, further affecting energy metabolism. Similar results were found in the present study that the tricarboxylic acid cycle may be disrupted by residual mycotoxins in milk. A similar phenomenon has also been observed in other animal studies. Yarru [51] and Wan [52] found that feeding chickens with aflatoxin-contaminated feeds may affect the ATP synthesis pathway and reduce energy production and gene expression. In summary, dietary mycotoxin exposure may cause adverse effects on glucose metabolism in milk and in animal health.
Taurine and hypotaurine metabolic pathways are the main energy metabolic pathways in which hypotaurine is oxidized to taurine by hypotaurine dehydrogenase [53]. Studies have found that the stabilization of taurine level has a positive effect on lowering blood lipids, blood sugar, and serum triglyceride levels, maintaining reproductive function, improving obesity, and reducing liver fat accumulation [44]. The present study discovered that the taurine and hypotaurine metabolism pathways had a greater impact score in the metabolic pathway enrichment analysis, indicating that dietary mycotoxins exposure may affect the body’s energy metabolism. Meantime, pyruvate metabolism is an important energy metabolic pathway responsible for glycolysis to produce energy in organisms [48]. The study also found that dietary mycotoxin exposure affected pyruvate metabolism in milk.

5. Conclusions

In summary, feeding lactating cows with diets containing natural mildewy corn meal and cottonseed reduced feed intake, milk yield, and milk fat, protein and lactose productions, but no significant effect was found in the majority of biochemical parameters. Additionally, metabolic pathways of small molecule metabolites in milk also changed. In conclusions, this study may provide a guide to the production practices.

Author Contributions

X.W. and L.G. contributed equally to this work. Conceptualization, X.W., L.G., J.W. and Y.Z.; methodology, X.W., L.G., J.W. and Y.Z.; validation, X.W., L.G., G.H., W.T., J.W. and Y.Z.; formal analysis, X.W., L.G., J.W. and Y.Z.; investigation, X.W., L.G., G.H., W.T.; resources, X.W., L.G., G.H., W.T., J.W. and Y.Z.; data curation, X.W., L.G., G.H., S.Z., J.W. and Y.Z.; writing—original draft preparation, X.W. and L.G.; writing—review and editing, X.W., L.G., J.W. and Y.Z.; visualization, X.W. and L.G.; supervision, J.W. and Y.Z.; project administration, L.G., J.W. and Y.Z.; funding acquisition, J.W. and Y.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the Scientific Research Project for Major Achievements of the Agricultural Science and Technology Innovation Program (No. CAAS-ZDXT2019004), the Agricultural Science and Technology Innovation Program (ASTIP-IAS12), Modern Agro-Industry Technology Research System of the PR China.

Institutional Review Board Statement

The study (Protocol Number: IAS15020; Date of approval: 16 July 2015) was approved by the Animal Care and Use Committee of the Institute of Animal Science, Chinese Academy of Agricultural Sciences.

Informed Consent Statement

Not applicable.

Acknowledgments

We thank the financial supports aforementioned. The administrative and technical supports and donations of materials used for the experiment are sincerely acknowledged. We also thank Qian Wang for help with the present research.

Conflicts of Interest

The authors declare no competing financial interest.

References

  1. Anukul, N.; Vangnai, K.; Mahakarnchanakul, W. Significance of Regulation Limits in Mycotoxin Contamination in Asia and Risk Management Programs at the National Level. J. Food Drug Anal. 2013, 21, 227–241. [Google Scholar] [CrossRef] [Green Version]
  2. FDA. Guidance for Industry: Action Levels for Poisonous or Deleterious Substances in Human Food and Animal Feed; Center for Food Safety and Applied Nutrition: Washington, DC, USA, 1986. [Google Scholar]
  3. EC. Directive 2002/32/Ec of the European Parliament and of the Council of 7 May 2002 on Undesirable Substances in Animal Feed—Council Statement; European Parliament, Council of the European Union: Bruxelles, Belgium, 2002. [Google Scholar]
  4. AQSIQ. Hygienical Standard for Feeds; GB 13078–2001; China Standard Press: Beijing, China, 2001. [Google Scholar]
  5. Ma, R.; Zhang, L.; Liu, M.; Su, Y.-T.; Xie, W.-M.; Zhang, N.-Y.; Dai, J.-F.; Wang, Y.; Rajput, S.A.; Qi, D.-S.; et al. Individual and Combined Occurrence of Mycotoxins in Feed Ingredients and Complete Feeds in China. Toxins 2018, 10, 113. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Huang, L.C.; Zheng, N.; Zheng, B.Q.; Wen, F.; Cheng, J.B.; Han, R.W.; Xu, X.M.; Li, S.L.; Wang, J.Q. Simultaneous Determination of Aflatoxin M-1, Ochratoxin a, Zearalenone and Alpha-Zearalenol in Milk by Uhplc-Ms/Ms. Food Chem. 2014, 146, 242–249. [Google Scholar] [CrossRef] [PubMed]
  7. IARC Working Group on the Evaluation of Carcinogenic Risks to Humans. Chemical Agents and Related Occupations. IARC Monogr. Eval. Carcinog. Risks Hum. 2012, 100, 9–562. [Google Scholar]
  8. Zhang, F.; Liu, L.; Ni, S.; Deng, J.; Liu, G.-J.; Middleton, R.; Inglis, D.W.; Wang, S.; Liu, G. Turn-on Fluorescence Aptasensor on Magnetic Nanobeads for Aflatoxin M1 Detection Based on an Exonuclease III—Assisted Signal Amplification Strategy. Nanomaterials 2019, 9, 104. [Google Scholar] [CrossRef] [Green Version]
  9. Gao, Y.; Li, S.; Wang, J.; Luo, C.; Zhao, S.; Zheng, N. Modulation of Intestinal Epithelial Permeability in Differentiated Caco-2 Cells Exposed to Aflatoxin M1 and Ochratoxin a Individually or Collectively. Toxins 2018, 10, 13. [Google Scholar] [CrossRef] [Green Version]
  10. Ahn, J.Y.; Kim, J.; Cheong, D.H.; Hong, H.; Jeong, J.Y.; Kim, B.G. An In Vitro Study on the Efficacy of Mycotoxin Sequestering Agents for Aflatoxin B1, Deoxynivalenol, and Zearalenone. Animals 2022, 12, 333. [Google Scholar] [CrossRef]
  11. Tolosa, J.; Rodriguez-Carrasco, Y.; Ruiz, M.J.; Vila-Donat, P. Multi-Mycotoxin Occurrence in Feed, Metabolism and Carry-over to Animal-Derived Food Products: A Review. Food Chem. Toxicol. 2021, 158, 112661. [Google Scholar] [CrossRef]
  12. Feng, J.; Dou, J.; Wu, Z.; Yin, D.; Wu, W. Controlled Release of Biological Control Agents for Preventing Aflatoxin Contamination from Starch-Alginate Beads. Molecules 2019, 24, 1858. [Google Scholar] [CrossRef] [Green Version]
  13. Savic, Z.; Dudas, T.; Loc, M.; Grahovac, M.; Budakov, D.; Jajic, I.; Krstovic, S.; Barosevic, T.; Krska, R.; Sulyok, M.; et al. Biological Control of Aflatoxin in Maize Grown in Serbia. Toxins 2020, 12, 162. [Google Scholar] [CrossRef] [Green Version]
  14. Rajendran, P.; Ammar, R.B.; Al-Saeedi, F.J.; Mohamed, M.E.; ElNaggar, M.A.; Al-Ramadan, S.Y.; Bekhet, G.M.; Soliman, A.M. Kaempferol Inhibits Zearalenone-Induced Oxidative Stress and Apoptosis Via the Pi3k/Akt-Mediated Nrf2 Signaling Pathway: In Vitro and In Vivo Studies. Int. J. Mol. Sci. 2021, 22, 217. [Google Scholar] [CrossRef]
  15. Hlavova, K.; Stepanova, H.; St’astny, K.; Leva, L.; Hodkovicova, N.; Vicenova, M.; Matiasovic, J.; Faldyna, M. Minimal Concentrations of Deoxynivalenol Reduce Cytokine Production in Individual Lymphocyte Populations in Pigs. Toxins 2020, 12, 190. [Google Scholar] [CrossRef] [Green Version]
  16. Vandicke, J.; De Visschere, K.; Ameye, M.; Croubels, S.; De Saeger, S.; Audenaert, K.; Haesaert, G. Multi-Mycotoxin Contamination of Maize Silages in Flanders, Belgium: Monitoring Mycotoxin Levels from Seed to Feed. Toxins 2021, 13, 202. [Google Scholar] [CrossRef]
  17. Alshannaq, A.; Yu, J.H. Occurrence, Toxicity, and Analysis of Major Mycotoxins in Food. Int. J. Environ. Res. Public Health 2017, 14, 632. [Google Scholar] [CrossRef] [Green Version]
  18. Xiong, J.L.; Wang, Y.M.; Nennich, T.D.; Li, Y.; Liu, J.X. Transfer of Dietary Aflatoxin B-1 to Milk Aflatoxin M-1 and Effect of Inclusion of Adsorbent in the Diet of Dairy Cows. J. Dairy Sci. 2015, 98, 2545–2554. [Google Scholar] [CrossRef]
  19. Huang, S.; Zheng, N.; Fan, C.; Cheng, M.; Wang, S.; Jabar, A.; Wang, J.; Cheng, J. Effects of Aflatoxin B1 Combined with Ochratoxin a and/or Zearalenone on Metabolism, Immune Function, and Antioxidant Status in Lactating Dairy Goats. Asian-Australas J. Anim. Sci. 2018, 31, 505–513. [Google Scholar] [CrossRef] [Green Version]
  20. Wang, Q.; Zhang, Y.; Zheng, N.; Zhao, S.; Li, S.; Wang, J. The Biochemical and Metabolic Profiles of Dairy Cows with Mycotoxins-Contaminated Diets. Peerj 2020, 8, 42. [Google Scholar] [CrossRef]
  21. Wang, Q.; Zhang, Y.; Zheng, N.; Guo, L.; Song, X.; Zhao, S.; Wang, J. Biological System Responses of Dairy Cows to Aflatoxin B1 Exposure Revealed with Metabolomic Changes in Multiple Biofluids. Toxins 2019, 11, 77. [Google Scholar] [CrossRef] [Green Version]
  22. Wang, Y.; Duan, H.; Hong, H. A Comparative Study of Composite Kernels for Landslide Susceptibility Mapping: A Case Study in Yongxin County, China. Catena 2019, 183, 104217. [Google Scholar] [CrossRef]
  23. Yang, C.; Song, G.; Lim, W. Effects of Mycotoxin-Contaminated Feed on Farm Animals. J. Hazard. Mater. 2020, 389, 122087. [Google Scholar] [CrossRef]
  24. Seeling, K.; Lebzien, P.; Danicke, S.; Spilke, J.; Sudekum, K.H.; Flachowsky, G. Effects of Level of Feed Intake and Fusarium Toxin-Contaminated Wheat on Rumen Fermentation as Well as on Blood and Milk Parameters in Cows. J. Anim. Physiol. Anim. Nutr. 2006, 90, 103–115. [Google Scholar] [CrossRef]
  25. Bartosh, A.V.; Urusov, A.Е.; Petrakova, A.V.; Kuang, H.; Zherdev, A.V.; Dzantiev, B.B. Highly Sensitive Lateral Flow Test with Indirect Labelling for Zearalenone in Baby Food. Food Agric. Immunol. 2020, 31, 653–666. [Google Scholar] [CrossRef]
  26. Park, J.; Kim, D.-H.; Moon, J.-Y.; An, J.-A.; Kim, Y.-W.; Chung, S.-H.; Lee, C. Distribution Analysis of Twelve Mycotoxins in Corn and Corn-Derived Products by Lc-Ms/Ms to Evaluate the Carry-over Ratio During Wet-Milling. Toxins 2018, 10, 319. [Google Scholar] [CrossRef] [Green Version]
  27. AOAC, Horwitz, W.; Official Methods of Analysis; Association of Official Analytical Chemists: Washington, DC, USA, 1984.
  28. Hu, W.L.; Liu, J.X.; Ye, J.A.; Wu, Y.M.; Guo, Y.Q. Effect of Tea Saponin on Rumen Fermentation In Vitro. Anim. Feed Sci. Technol. 2005, 120, 333–339. [Google Scholar] [CrossRef]
  29. Lee, J.W.; Ji, S.-H.; Kim, G.-S.; Song, K.-S.; Um, Y.; Kim, O.T.; Lee, Y.; Hong, C.P.; Shin, D.-H.; Kim, C.-K.; et al. Global Profiling of Various Metabolites in Platycodon Grandiflorum by Uplc-Qtof/Ms. Int. J. Mol. Sci. 2015, 16, 26786–26796. [Google Scholar] [CrossRef] [Green Version]
  30. Tyrrell, H.F.; Reid, J.T. Prediction of the Energy Value of Cow’s Milk. J. Dairy Sci. 1965, 48, 1215–1223. [Google Scholar] [CrossRef]
  31. Pi, Y.; Gao, S.T.; Ma, L.; Zhu, Y.X.; Wang, J.Q.; Zhang, J.M.; Xu, J.C.; Bu, D.P. Effectiveness of Rubber Seed Oil and Flaxseed Oil to Enhance the Alpha-Linolenic Acid Content in Milk from Dairy Cows. J. Dairy Sci. 2016, 99, 5719–5730. [Google Scholar] [CrossRef] [Green Version]
  32. Moss, A.R.; Jouany, J.P.; Newbold, J. Methane Production by Ruminants: Its Contribution to Global Warming. Ann. Zootech. 2000, 49, 231–253. [Google Scholar] [CrossRef] [Green Version]
  33. Keese, C.; Meyer, U.; Rehage, J.; Spilke, J.; Boguhn, J.; Breves, G.; Daenickle, S. On the Effects of the Concentrate Proportion of Dairy Cow Rations in the Presence and Absence of a Fusarium Toxin-Contaminated Triticale on Cow Performance. Arch. Anim. Nutr. 2008, 62, 241–262. [Google Scholar] [CrossRef]
  34. Queiroz, O.C.M.; Han, J.H.; Staples, C.R.; Adesogan, A.T. Effect of Adding a Mycotoxin-Sequestering Agent on Milk Aflatoxin M-1 Concentration and the Performance and Immune Response of Dairy Cattle Fed an Aflatoxin B-1-Contaminated Diet. J. Dairy Sci. 2012, 95, 5901–5908. [Google Scholar] [CrossRef]
  35. Jones, M.G.; Ewart, J.M. Effects on Milk Production Associated with Consumption of Decorticated Extracted Groundnut Meal Contaminated with Aflatoxin. Vet. Rec. 1979, 105, 492–493. [Google Scholar] [CrossRef] [PubMed]
  36. Battacone, G.; Nudda, A.; Palomba, M.; Pascale, M.; Nicolussi, P.; Pulina, G. Transfer of Aflatoxin B1 from Feed to Milk and from Milk to Curd and Whey in Dairy Sheep Fed Artificially Contaminated Concentrates. J. Dairy Sci. 2005, 88, 3063–3069. [Google Scholar] [CrossRef]
  37. Kutz, R.E.; Sampson, J.D.; Pompeu, L.B.; Ledoux, D.R.; Spain, J.N.; Vazquez-Anon, M.; Rottinghaus, G.E. Efficacy of Solis, Novasilplus, and Mtb-100 to Reduce Aflatoxin M-1 Levels in Milk of Early to Mid Lactation Dairy Cows Fed Aflatoxin B-1. J. Dairy Sci. 2009, 92, 3959–3963. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Cobirka, M.; Tancin, V.; Slama, P. Epidemiology and Classification of Mastitis. Animals 2020, 10, 2212. [Google Scholar] [CrossRef]
  39. Lipkens, Z.; Piepers, S.; Verbeke, J.; De Vliegher, S. Infection Dynamics across the Dry Period Using Dairy Herd Improvement Somatic Cell Count Data and Its Effect on Cow Performance in the Subsequent Lactation. J. Dairy Sci. 2019, 102, 640–651. [Google Scholar] [CrossRef] [Green Version]
  40. Cui, K.; Qi, M.; Wang, S.; Diao, Q.; Zhang, N. Dietary Energy and Protein Levels Influenced the Growth Performance, Ruminal Morphology and Fermentation and Microbial Diversity of Lambs. Sci. Rep. 2019, 9, 16612. [Google Scholar] [CrossRef]
  41. Jiang, Y.H.; Yang, H.J.; Lund, P. Effect of Aflatoxin B1 on in Vitro Ruminal Fermentation of Rations High in Alfalfa Hay or Ryegrass Hay. Anim. Feed Sci. Technol. 2012, 175, 85–89. [Google Scholar] [CrossRef]
  42. Santos, R.R.; Fink-Gremmels, J. Mycotoxin Syndrome in Dairy Cattle: Characterisation and Intervention Results. World Mycotoxin J. 2014, 7, 357–366. [Google Scholar] [CrossRef]
  43. Mattaini, K.R.; Sullivan, M.R.; Vander Heiden, M.G. The Importance of Serine Metabolism in Cancer. J. Cell Biol. 2016, 214, 248–257. [Google Scholar] [CrossRef] [Green Version]
  44. Mok, W.K.; Tan, Y.X.; Lee, J.; Kim, J.; Chen, W.N. A Metabolomic Approach to Understand the Solid-State Fermentation of Okara Using Bacillus Subtilis Wx-17 for Enhanced Nutritional Profile. AMB Express 2019, 9, 60. [Google Scholar] [CrossRef] [Green Version]
  45. Cheng, J.; Huang, S.; Fan, C.; Zheng, N.; Zhang, Y.; Li, S.; Wang, J. Metabolomic Analysis of Alterations in Lipid Oxidation, Carbohydrate and Amino Acid Metabolism in Dairy Goats Caused by Exposure to Aflotoxin B1. J. Dairy Res. 2017, 84, 401–406. [Google Scholar] [CrossRef]
  46. Liu, G.; Yan, T.; Wang, J.; Huang, Z.; Chen, X.; Jia, G.; Wu, C.; Zhao, H.; Xue, B.; Xiao, L.; et al. Biological System Responses to Zearalenone Mycotoxin Exposure by Integrated Metabolomic Studies. J. Agric. Food Chem. 2013, 61, 11212–11221. [Google Scholar] [CrossRef]
  47. Guo, H.; Guo, H.; Zhang, L.; Fan, Y.; Wu, J.; Tang, Z.; Zhang, Y.; Fan, Y.; Zeng, F. Dynamic Transcriptome Analysis Reveals Uncharacterized Complex Regulatory Pathway Underlying Genotype-Recalcitrant Somatic Embryogenesis Transdifferentiation in Cotton. Genes 2020, 11, 519. [Google Scholar] [CrossRef]
  48. Qiao, W.; Qiao, Y.; Liu, F.; Zhang, Y.; Li, R.; Wu, Z.; Xu, H.; Saris, P.E.J.; Qiao, M. Engineering Lactococcus Lactis as a Multi-Stress Tolerant Biosynthetic Chassis by Deleting the Prophage-Related Fragment. Microb. Cell Fact. 2020, 19, 225. [Google Scholar] [CrossRef]
  49. Lu, H.; Chen, H.; Tang, X.; Yang, Q.; Zhang, H.; Chen, Y.Q.; Chen, W. Time-Resolved Multi-Omics Analysis Reveals the Role of Nutrient Stress-Induced Resource Reallocation for Tag Accumulation in Oleaginous Fungusmortierella Alpina. Biotechnol. Biofuels 2020, 13, 116. [Google Scholar] [CrossRef]
  50. Yarru, L.P.; Settivari, R.S.; Antoniou, E.; Ledoux, D.R.; Rottinghaus, G.E. Toxicological and Gene Expression Analysis of the Impact of Aflatoxin B-1 on Hepatic Function of Male Broiler Chicks. Poult. Sci. 2009, 88, 360–371. [Google Scholar] [CrossRef]
  51. Wan, Q.; He, Q.; Deng, X.; Hao, F.; Tang, H.; Wang, Y. Systemic Metabolic Responses of Broiler Chickens and Piglets to Acute T-2 Toxin Intravenous Exposure. J. Agric. Food Chem. 2016, 64, 714–723. [Google Scholar] [CrossRef]
  52. Zhang, M.; Li, L.; Liu, Y.; Gao, X. Effects of a Sudden Drop in Salinity on Immune Response Mechanisms of Anadara Kagoshimensis. Int. J. Mol. Sci. 2019, 20, 4365. [Google Scholar] [CrossRef] [Green Version]
  53. Li, H.; Zhang, X.-G.; Fang, Q.; Liu, Q.; Du, R.-R.; Yang, G.-S.; Wang, Q.; Hu, J.-H. Supplemental Effect of Different Levels of Taurine in Modena on Boar Semen Quality During Liquid Preservation at 17 Degrees C. Anim. Sci. J. 2017, 88, 1692–1699. [Google Scholar] [CrossRef]
Figure 1. Concentrations of major mycotoxins in milk of dairy cows fed diets containing mildewy corn meal and cottonseed. Different letters (a, b, c, and d) denote significant differences (p < 0.05).
Figure 1. Concentrations of major mycotoxins in milk of dairy cows fed diets containing mildewy corn meal and cottonseed. Different letters (a, b, c, and d) denote significant differences (p < 0.05).
Agriculture 12 00420 g001
Table 1. Ingredients and chemical composition of the experimental diet.
Table 1. Ingredients and chemical composition of the experimental diet.
ItemAmount (%)
Ingredients, % of DM
Soybean extract1.07
Corn DDGS10.60
Wheat bran4.00
Soybean meal8.88
Whole cottonseed4.14
Cornmeal22.51
Spray grain corn8.65
Premix 12.09
Yeast0.05
Carb-fine0.47
Sodium bicarbonate1.12
Salt0.14
Corn silage21.77
Oat grass10.19
Alfalfa hay4.33
Nutrient, % of DM
Crude protein17.65
Fat4.15
Neutral detergent fiber29.49
Nonfiber carbohydrate39.50
Calcium0.80
Phosphorus0.48
Ash9.27
Energy (Mcal/Kg)
Metabolizable energy2.88
Net energy1.67
1 Premix consisted of vitamin A, vitamin D3, vitamin E, copper sulfate, ferrous sulfate, zinc sulfate, manganese sulfate, sodium selenite, and was formulated to provide (per kg of DM): 35 mg of Cu, 70 mg of Fe, 55 mg of Mn, 110 mg of Zn, 80 mg of Co, 110 mg of Se, 140,000 IU of vitamin A, 18,000 IU of vitamin D3, and 6000 IU of vitamin E.
Table 4. Productive performance and milk composition of dairy cows fed diets containing mildewy corn meal and cottonseed.
Table 4. Productive performance and milk composition of dairy cows fed diets containing mildewy corn meal and cottonseed.
ItemControl50Cot100Cot50CotCorn100CotCornSEMp-Value
Productive performance 1
DMI (kg/d)20.71 a20.99 a19.99 b19.58 bc19.36 c0.08<0.01
MY (kg/d)21.30 b23.91 a20.93 b19.74 b19.77 b0.24<0.01
4% FCM (kg/d)23.18 ab24.64 a22.14 b20.82 b20.83 b0.43<0.01
ECM (kg/d)25.63 ab27.25 a24.54 b23.29 b23.27 b0.02<0.01
FER1.251.321.221.211.200.350.08
Milk composition
Fat (%)4.52 a4.20 b4.37 ab4.37 ab4.18 b0.030.01
Protein (%)3.84 a3.77 a3.83 a3.99 a3.41 b0.03<0.01
Lactose (%)4.98 b5.10 a4.94 b4.94 b5.03 ab0.01<0.01
Total solids (%)14.01 a13.63 a13.85 a13.96 a13.27 b0.06<0.01
SCC (104/mL) 214.96 a7.39 b14.44 a7.52 b9.09 b1.08<0.01
MUN (µg/mL) 212.9413.0712.0912.6614.380.290.16
abc Means with different superscript letters in the same row indicate significant difference (p < 0.05). 1 DMI, dry matter intake; MY, milk yield; 4%FCM, 4% fat-corrected milk = 0.4 × milk (kg) + 15 × fat (kg) [31]; ECM, energy-corrected milk = 0.327 × milk (kg) + 12.95 × fat (kg) + 7.20 × protein (kg) [31]; FER, feed efficiency ratio = ECM/DMI [32]. 2 SCC, somatic cell count; MUN, milk urea nitrogen.
Table 5. Blood metabolites of dairy cows fed diets containing mildewy corn meal and cottonseed.
Table 5. Blood metabolites of dairy cows fed diets containing mildewy corn meal and cottonseed.
Item 1Control50Cot100Cot50CotCorn100CotCornSEMp-Value
TP (g/L)73.0672.7972.7173.8672.760.820.99
ALB (g/L)36.1034.3935.5037.5536.400.380.09
GLOB (g/ L)36.9638.4037.2136.3136.880.880.96
CR (µmol/L)75.88 a66.56 ab66.75 ab72.43 a64.00 b1.500.01
ALT (U/L)27.7526.6328.4329.2527.750.690.81
AST (U/L)67.2968.0071.8667.5772.861.880.81
A/G1.010.910.981.080.990.030.47
ALP (U/L)53.7658.1178.3581.9570.004.000.09
TBiL (µmol/L)8.8810.979.8212.2510.600.420.11
DBiL (µmol/L)1.922.422.402.542.460.080.09
IBiL (µmol/L)6.978.557.429.718.140.360.11
GGT (U/L)35.1633.2333.9833.9837.201.190.85
TC (mmol/L)5.886.355.726.676.080.200.61
TG (mmol/L)0.04 b0.04 b0.06 a0.06 ab0.07 a0.003<0.01
UA (µmol/L)27.2824.9527.2316.7425.231.400.08
Urea (mmol/L)3.893.573.893.673.860.070.55
abc Means with different superscript letters in the same row indicate significant difference (p < 0.05). 1 TP, total protein; ALB, albumin; GLOB, globulin; CR, creatinine; ALT, alanine aminotransferase; AST, aspartate aminotransferase; A/G, albumin/globulin; ALP, alkaline phosphatase; TBiL, total bilirubin; DBiL, direct bilirubin; IBiL, indirect bilirubin; GGT, γ-glutamyl transpeptidase; TC, total cholesterols; TG, total triglyceride; UA, uric acid.
Table 6. Rumen fermentation parameters in rumen fluid of dairy cows fed diets containing mildewy corn meal and cottonseed.
Table 6. Rumen fermentation parameters in rumen fluid of dairy cows fed diets containing mildewy corn meal and cottonseed.
ItemControl50Cot100Cot50CotCorn100CotCornSEMp-Value
Acetate (mmol/L)65.1573.7458.9675.3565.272.070.07
Propionate (mmol/L)21.79 b26.71 a21.56 b23.12 ab22.44 ab0.610.05
Acetate/Propionate3.012.842.993.143.040.040.16
Isobutyrate (mmol/L)0.74 a0.87 a0.80 a1.02 b1.09 b0.03<0.01
Butyrate (mmol/L)12.68 ab14.04 a9.78 b12.76 ab13.48 ab0.490.05
Isovalerate (mmol/L)1.43 bc1.64 abc1.24 c1.85 ab2.08 a0.08<0.01
Valerate (mmol/L)1.48 ab1.90 a1.32 b1.67 ab1.70 ab0.060.02
TVFA (mmol/L) 1101.27116.8999.63124.29114.072.320.12
CH4 (mmol/L) 228.2731.6427.2632.6228.550.760.11
abc Means with different superscript letters in the same row indicate significant difference (p < 0.05). 1 TVFA, total volatile fatty acids. 2 CH4 production (mmol/ L) = 0.45 × acetate (mmol/ L) − 0.275 × propionate (mmol/ L) + 0.4 × butyrate (mmol/L) [33].
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Wu, X.; Guo, L.; Huang, G.; Tang, W.; Zhao, S.; Wang, J.; Zhang, Y. Effects of Dietary Natural Mycotoxins Exposure on Performance, Biochemical Parameters and Milk Small Molecule Metabolic Pathways of Lactating Cows. Agriculture 2022, 12, 420. https://doi.org/10.3390/agriculture12030420

AMA Style

Wu X, Guo L, Huang G, Tang W, Zhao S, Wang J, Zhang Y. Effects of Dietary Natural Mycotoxins Exposure on Performance, Biochemical Parameters and Milk Small Molecule Metabolic Pathways of Lactating Cows. Agriculture. 2022; 12(3):420. https://doi.org/10.3390/agriculture12030420

Chicago/Turabian Style

Wu, Xufang, Liya Guo, Guoxin Huang, Wenhao Tang, Shengguo Zhao, Jiaqi Wang, and Yangdong Zhang. 2022. "Effects of Dietary Natural Mycotoxins Exposure on Performance, Biochemical Parameters and Milk Small Molecule Metabolic Pathways of Lactating Cows" Agriculture 12, no. 3: 420. https://doi.org/10.3390/agriculture12030420

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