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Identification of differences in digestive organ weight, bone mineral concentration, and ileal transcriptomic profiles of low and high weight broiler chicks

Published online by Cambridge University Press:  20 November 2024

Chinwendu Lorrita Elvis-Chikwem
Affiliation:
School of Bioscience, University of Nottingham, Sutton Bonington Campus LE12 5RD, Nottingham, UK
Bojlul Bahar
Affiliation:
School of Health, Social Work and Sport, University of Central Lancashire, Preston, UK
Kamila Derecka
Affiliation:
School of Bioscience, University of Nottingham, Sutton Bonington Campus LE12 5RD, Nottingham, UK
Gavin White
Affiliation:
School of Bioscience, University of Nottingham, Sutton Bonington Campus LE12 5RD, Nottingham, UK
Emily Burton
Affiliation:
School of Animal, Rural and Environmental Sciences, Nottingham Trent University, Brackenhurst Campus Nottingham NG25 0QF, Nottingham, UK
Marcos Castellanos
Affiliation:
School of Bioscience, University of Nottingham, Sutton Bonington Campus LE12 5RD, Nottingham, UK
Cormac J. O'Shea*
Affiliation:
Department of Bioveterinary and Microbial Sciences, Technological University of the Shannon, Midlands Midwest, N37 HD68, Athlone, Ireland
*
Corresponding author: Cormac J. O'Shea; Email: [email protected]
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Abstract

A growth monitoring study (0–7 day of age) was conducted involving 87, one-day old Ross 308 male broilers to evaluate organ weights, bone parameters and ileal transcriptomic profile of broiler chicks as influenced by day 7 bodyweight (BW) grouping. The chicks were raised in a deep-litter house under common controlled environmental conditions and commercial starter diet. Chicks were grouped on day 7 into two distinct BW, super performer (SP) and under performer (UP) with bodyweights >260, and <200 g respectively. Results revealed that the SP chicks had significantly higher bone ash, sodium (Na), phosphorus (P) and rubidium (Rb) concentrations compared to the UP chicks on D7. In contrast, the UP chicks had significantly higher tibial cadmium (Cd), caesium (Cs) and lead (Pb) compared to the SP group; the UP chicks also had proportionally heavier relative gizzard weight than the SP chicks. The ileal transcriptomic data revealed differentially expressed genes (DEG) between the two groups of chicks, with 150 upregulated and 83 down-regulated genes with a fold change of ≥1.25 or ≤ 1.25 in the SP chicks relative to the UP chicks. Furthermore, functional annotation and pathway analysis revealed that some of these DEG were involved in various pathways including calcium signalling, Wnt signalling, cytokine-cytokine receptor interaction and mucin type O-glycan biosynthesis. This study revealed that chicks of the same breed and of uniform environmental and diet management exhibited differences in digestive organ weights, tibial bone characteristics and ileal gene expression that may be related to BW.

Type
Animal Research Paper
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press

Introduction

Chicken is one of the most preferred animal protein sources globally due to its comparatively lower cost, nutritional content and perceived health values. Despite improved genetic modification and stringent management practices in broiler production, there have been reports of considerable bodyweight variation which results in varying slaughter weight (Piórkowska et al., Reference Piórkowska, Żukowski, Połtowicz, Nowak, Ropka-Molik, Derebecka, Wesoły and Wojtysiak2020; Lundberg et al., Reference Lundberg, Scharch and Sandvang2021). There are many reasons underpinning variation in broiler growth such as broiler breeder age, incubation factors, genetics, disease, nutrient malabsorption, and poor feed intake (Tejeda et al., Reference Tejeda, Meloche and Starkey2021).

The first week of life is a critical period for the broiler, as the chicks are exposed to more varied conditions on the farm following a relatively common and controlled environment during the incubation period (Yerpes et al., Reference Yerpes, Llonch and Manteca2020). Bodyweight increases two to threefold during the first week of life and considerable changes occur in the gastrointestinal development and in muscle accretion (Jin et al., Reference Jin, Fan, Yang, He, Xu, Chen, Liu and Geng1998; Iji et al., Reference Iji, Saki and Tivey2001; Willemsen et al., Reference Willemsen, Everaert, Witters, De Smit, Debonne, Verschuere, Garain, Berckmans, Decuypere and Bruggeman2008). These developmental changes can be categorized into morphological, functional and immunological development (Schokker et al., Reference Schokker, Hoekman, Smits and Rebel2009). The development of the chicken intestine as a digestive and absorptive system is closely related to the development of the gut-associated lymphoid tissue (Shira et al., Reference Shira, Sklan and Friedman2005). It has been reported that the immune organ development of the chicken occurs within the first two weeks of life (Dibner et al., Reference Dibner, Knight, Kitchell, Atwell, Downs and Ivey1998). The immune development in young chicks has also been reported to be associated with early nutrition which makes essential nutrients available for cell proliferation and differentiation. In this aspect, early feed intake stimulates many antigens involved in the development of immunoglobulin in the chicken bursa (Jeurissen et al., Reference Jeurissen, Janse, Koch and De Boer1989; Dibner et al., Reference Dibner, Knight, Kitchell, Atwell, Downs and Ivey1998). Research has reported that the expression of proinflammatory cytokine and chemokine (IL-1β, IL-8, K203) during the first week of life in broiler are initiated by the exposure of the hatchlings to exogenous feed and the environment (Bar-Shira and Friedman, Reference Bar-Shira and Friedman2006). This unique development of the chicken intestine with a coinciding succession of microbiota and changes in microbial community during the early life can influence the host physiological and metabolic functions (Tang et al., Reference Tang, Li, Mahmood, Liu, Hu and Guo2020). The small intestine plays a vital role in the regulatory, endocrine, and immune function, which can thus affect birds' health, feeding behaviour and energy homoeostasis (Scanes and Pierzchala-Koziec, Reference Scanes and Pierzchala-Koziec2014; Sugiharto, Reference Sugiharto2016 and Honda, et al., Reference Honda, Saneyasu and Kamisoyama2017). Svihus (Reference Svihus2014) reported that the functionality of the digestive tract is pivotal to optimal performance of broiler chicks. Therefore, development and growth performance in the first week is critical and indeed day 7 BW has been reported to have a stronger correlation with important parameters such as slaughter weight and carcass composition when compared to hatch weight (Ribeiro et al., Reference Ribeiro, Ribeiro, Krabbe, AM, Renz and Gomes2004 and Tona et al., Reference Tona, Onagbesan, De Ketelaere, Decuypere and Bruggeman2004b).

Mineral metabolism is an important aspect in broiler nutrition and growth as minerals play useful roles as a catalyst in most enzyme and hormone activities (Suttle, Reference Suttle2010). Bone mineral concentrations, especially calcium (Ca) and phosphorus (P), affect skeletal integrity (Underwood and Suttle, Reference Underwood, Suttle, Underwood and Suttle1999) and determine the extent of mineralization. They are also actively involved in many physiological and metabolic roles in the body such as cell signalling and nerve impulse transmission (Underwood and Suttle, Reference Underwood, Suttle, Underwood and Suttle1999). Previous studies have reported bone mineral concentration as a vital tool in assessing mineral bioavailability, utilization and storage in broiler chicks (Yair and Uni, Reference Yair and Uni2011), for example Ca concentration in the tibia serves as a reservoir for maintaining serum calcium levels (Weaver et al., Reference Weaver, Alexander, Boushey, Dawson-Hughes, Lappe, LeBoff, Liu, Looker, Wallace and Wang2016). Therefore, evaluating bone mineral concentration in broiler chicks in early life could be a valuable biomarker to determine the mineral status of chicks post hatch. Generally, mineral absorption in broilers is uniquely governed by the activation of important pathways, for example Wnt signalling, that comprises several ligands activated by Wnt proteins, which when secreted bind to the frizzled transmembrane receptors to initiate intracellular signalling cascade that modulates gene expression (Mohammed et al., Reference Mohammed, Shao, Wang, Wei, Wang, Collier, Tang, Liu, Zhang, Huang and Guo2016), resulting in specific mineral absorption such as Ca and P (Wang et al., Reference Wang, Wang, Ding, Lu, Wu and Li2022).

It was hypothesized that the mineral status, organ measurements and transcriptomics may be different between chicks ranked based on Day 7 bodyweight. Identifying some of those differences may be useful in developing intervention strategies for improved broiler performance. The present study therefore evaluated differences in digestive organ weight, ileal transcriptomic profile, and bone mineral concentrations of 7-day old broiler chicks.

Materials and methods

Experimental design and animal management

A total number of 87-day old male Ross 308 chicks were used for the study and all chicks were housed in the same deep litter pen with softwood shaving as bedding, and under the same common environmental and diet conditions. The chicks were reared from day 0 to day 7 and were characterized based on the day 7 bodyweight, before sample collection. Chicks were fed commercial Hygates baby chick crumbs (containing 19% crude protein, 4.5% crude fibre and 3.5% oil) that met the nutritional requirement of the Ross 308 breed.

The bodyweight of chicks was recorded individually on day 0 and day 7. Chicks were ranked and those in the first and fifth quintiles were categorized as super performers (SP) and under performers (UP) respectively. SP chicks had an average bodyweight of 260 g and UP; 200 g, bodyweight thresholds were selected based on the performance target outlined for male Ross 308 chicks on day 7 (Ross, Reference Ross2019). On day 7, ten chicks from each group SP and UP (n = 10/bodyweight group) were randomly selected and euthanized. Bodyweight uniformity was calculated using the formula below.

Uniformity % = Number of birds within range ± 10% of mean weight ÷ Total number of birds weighed × 100

The liver, gizzard and full intestine were excised and weighed using a precision balance while the legs were collected and stored at −20°C until further bone mineral analysis. The ileal segment was excised, and snap frozen immediately with dry ice before being stored at −80°C until RNA extraction.

Crude ash and mineral analysis

The legs collected were thawed and defleshed to extract the tibial bones. Care was taken to ensure all the flesh was removed and the bones immediately stored in the freezer at −20°C until drying the next day. The tibial bones were oven-dried at 105°C using a Griffin oven for 24 h and ashed at 600°C overnight using a Carbolite AAF 11/18 furnace to determine the tibial ash, then the ash weight of individual tibial bone was expressed as a percentage of dry weight. The tibial bone ash was acid digested using a hot plate method following an internal laboratory procedure for sample preparation. A maximum of 0.2 g of each sample was digested with 10 ml of nitric acid and heated for 2 h at 95°C, 50 ml MilliQ water was added to each and 8 ml taken from the top, transferred to 8 ml tubes and samples were diluted to 1/10 and mineral concentration analysed using an ICP-MS method (Thermo-Fisher Scientific iCAP-Q; Thermo Fisher Scientific, Bremen, Germany).

RNA extraction and microarray analysis

RNA was extracted from the ileum of 7-day old broiler chicks using the Direct-zol™ RNA MiniPrep Kit (Cambridge Bioscience, UK). RNA integrity was confirmed using an Agilent 2100 Bioanalyzer with the RNA 6000 Nano Kit (Agilent Technologies, Palo Alto, CA). The RNA integrity numbers (RIN) were ≥8.7 for all samples. Whole-genome transcriptome analysis was conducted by hybridizing six biological samples of total RNA per group to GeneChipTM Chicken Gene 1.0 ST arrays (Affymetrix, Santa Clara, CA, USA). First strand cDNA was produced by reverse transcription followed by second strand synthesis. Double stranded cDNA was then used to synthesize biotinylated complementary RNA in vitro, which was purified and fragmented in different sizes (200–2000 bp). These fragments were hybridized onto GeneChipTM Chicken Gene 1.0 ST arrays using the GeneChip System 3000 instrument platform (Affymetrix, Santa Clara, CA, USA). All steps were conducted at the Nottingham Arabidopsis Stock Centre.

Gene expression profile data was generated as CEL files and analysed using Partek Genomics Suite 6.6 (Partek Incorporated, St. Louis, MO, USA). The raw CEL files were normalized using the RMA background correction with quantile normalization, log base 2 transformation and mean probe-set summarization with adjustment for GC content.

Quantitative real-time polymerase chain reaction (qRT-PCR) confirmation of the microarray data

To verify the reliability of the microarray data, three immune related genes (IL20RA, IL8L1 and CCL17) and one gene related to detoxification (GSTA3) were selected for further validation using the RT-qPCR technology. The immune-related genes were selected to verify the observation from the microarray data that the SP chicks had better innate immune activation compared to the UP group. Four genes from the microarray data GAPDH, GALNS, FABP5 and FAM133B were also chosen as housekeeping genes for qRT-PCR because there was no change in their expressions between the two groups. The primer pairs used for the quantitative PCR of these genes are reported in Supplementary file 1. Total RNA (250 ng) was reverse transcribed using the cDNA reverse transcription kits according to the manufacturers' protocol (UltraScript 2.0 cDNA synthesis kit, PCR Biosystems, London UK). The real time PCR reactions were performed using the Bio-Rad CFX Maestro, the reaction contained 1 ul of cDNA as a template in a 10 ul reaction, the master mix contained 0.4 ul of the reverse and forward primers from a 10 uM stocks, 5 ul of a Syber green master mix (2X qPCRBIO SyGreen Blue Mix Hi-Rox, PCR Biosystems, London, UK), and 3.6 ul of RNase free water. The PCR reaction conditions were set at 95°C for 20 s, followed by 40 cycles of 95°C for 3 s and 60°C for 30 s. A melting temperature curve for every PCR reaction was determined at the end of each run for amplification specificity, and all the four samples were performed in triplicate. Relative expression of each mRNA was determined using the 2−ΔΔCt. method using the Bio-Rad software.

Functional annotation and pathway analysis

The Database for Annotation, Visualization, and Integrated Discovery (DAVID) (https://david.ncifcrf.gov/tools.jsp) and Ingenuity Pathway Analysis (IPA) were used to determine the biological functions of the differentially expressed genes (DEG) based on the Gallus gallus reference. Pathway analysis was carried out using the KEGG database as utilized through the DAVID online database.

Statistical analysis

The individual chick served as the experimental unit. Bodyweight measurement, digestive organ weights and other data derived from the two experimental BW groups SP and UP were compared using the student t-test (Prism version 8.0.0 for Windows, GraphPad Software, San Diego, California, USA, www.graphpad.com), significant differences were observed at P < 0.05. DEG were identified by one-way ANOVA, DEG comprised genes upregulated or downregulated by at least 1.25-fold with an un-adjusted P value ≤ 0.05. Statistical analysis for the qPCR data were performed using the ANOVA statistical package of the Bio-Rad CFX Maestro analysis software.

Results

Day 7 bodyweight and digestive organ weights

The mean bodyweight of the bird population on day 7 was 231.2 ± 34.2 g, CV of 14.8% and uniformity of 56%. The organ characteristics of the chicks in the BW groups are presented in Table 1. The SP chicks had significantly heavier liver (SP = 12 g; UP = 8 g; P < 0.0001), gizzard (SP = 14 g; UP = 10 g; P < 0.0001), intestine weight (SP = 23 g; UP = 15 g; P < 0.0001) and intestinal length (SP = 11°Cm; UP = 94 cm; P = 0.0001). It was noteworthy that the UP group had a proportionally heavier gizzard compared to the SP groups.

Table 1. Digestive tract and ancillary organ weight of chicks at 7 days of age (n = 10 per BW group)

UP denotes, Under-performers, and SP, Super-performers chicks; D0 BW, Day 0 bodyweight; D7 BW, Day 7 body weight; wt, weight.

Tibia bone ash and mineral concentration

The tibial bone ash and macro mineral concentration of the UP and SP chicks on D7 is shown in Table 2, while the tibial trace mineral concentration is presented in Table 3. The SP group had higher bone ash when compared with the UP group (SP = 47%; UP = 44%; P = 0.014). The UP group had significantly higher Cs (UP = 0.04; SP = 0.03; P = 0.023), Cd (UP = 0.02; SP = 0.01; P = 0.04) and Pb (UP = 0.34; SP = 0.20; P = 0.014) when compared with the SP group. While the SP chicks had significantly higher tibial Na (SP = 12.7%; UP = 11%; P = 0.014), P (SP = 19.57%; UP 18.62%; P = 0.018), and Rb (SP = 0.009, UP = 0.008; P = 0.033) concentrations compared to the UP group.

Table 2. Tibial ash and macro mineral concentrations of the UP and SP chicks at D7 of age, (n = 10 chicks per BW group)

UP denotes, Under performers group; SP denotes, Super performers group; Minerals are expressed on a crude ash basis. (n = 10 per BW group).

Table 3. Tibial trace mineral concentrations of the UP and SP chicks at D7 of age (n = 10 chicks per BW group)

UP denotes, Under performers group; SP denotes, Super performers group. (n = 10 per BW group).

Ileal transcriptomic profile and differentially expressed genes

The transcriptomic profile analysis revealed 233 genes that were differentially expressed with a P < 0.05 and fold change cutoff of ≥1.25 between the SP and UP groups. The biological details of the DEGs mapped in the IPA database are provided in the Supplementary file, while the details of the top 29 most conspicuous DEGs with fold change (≥+1.5 and ≥−1.5) are shown in Table 4. All the DEGs including the up-regulated (150 genes with low stringent cutoff ≥+1.25) and down-regulated (83 genes with cutoff ≥−1.25) expressed in the ileum of 7-day old chicks of distinct bodyweight were categorized into three main functions of biological process, molecular function, and cellular component according to GO analysis using DAVID online tool. Each of the GO categories were further divided into subcategories, and the DEGs were all annotated in all the three GO terms as shown in Fig. 1. The biological process comprises 26 terms, including prostaglandin biosynthesis, positive regulation of cell proliferation, superoxide metabolic process, tissue development, inflammatory response etc. Molecular function was divided into 12 terms, including heparin binding, frizzled binding, and growth factor activity. The cellular component comprises eight terms which includes extracellular space, integral component of plasma membrane, extracellular region, photoreceptor outer segment, and brush border as illustrated in Fig. 1. Functional annotation clustering was performed using DAVID tool on the GO terms and two clusters were obtained. The first cluster relates to Wnt protein binding, and the second cluster relates to polymerase II core promoter proximal region sequence-specific DNA binding. The enriched pathways annotated include calcium signalling, Wnt signalling, cytokine-cytokine receptor interaction, cardiac muscle contraction, mucin type O glycan and other mucin type O glycan as shown in Table 5.

Table 4. Most conspicuous differentially expressed genes (fold change from +1.50 or −1.50) in the ileum of 7-day old Ross 308 male chicks in SP group compared to the UP group

Figure 1. Functional annotation of the ileal DEGs in 7-day old Ross 308 chicks (SP relative to UP), SP denotes super performer and UP denotes under performers. The higher the number of DEGs in each process, the more implicated will the process be in the SP group relative to the UP group.

Table 5. Identified pathways enriched in the SP chicks relative to the UP chicks

SP, Super performers; UP, Under performers; DEG, Differentially expressed genes.

Discussion

Broiler chicks exhibit considerable variation in bodyweight (BW) performance despite successive selective inbreeding and stringent management practices, which ultimately impacts flock uniformity. While there is an abundance of literature investigating improvement in growth performance, the basis for variation in bodyweight has received less attention. Therefore, the present study explored various physiological and transcriptomic aspects in understanding the important drivers of variation in bodyweight in the early life of the broiler chick. As expected, the SP chicks had heavier organs when compared to the UP group. Published research reported that the weight contribution of internal organs to bodyweight reflects the health condition of the animals (Smith et al., Reference Smith, Gabler, Young, Cai, Boddicker, Anderson, Huff-Lonergan, Dekkers and Lonergan2011). It was also reported that the size of the visceral organs may influence energy requirements for basal metabolism as it relates to feed intake (Fitzsimons et al., Reference Fitzsimons, Kenny and McGee2014). Thus, in the present study, the SP chicks exhibited heavier liver, and intestinal weight with longer intestines compared to the UP chicks, indicating that these observed differences in the digestive organ, are related to BW and possibly feed intake. The significant difference observed in this study in gizzard weight relative to body weight of the UP chicks disagreed with the report of Ribeiro et al. (Reference Ribeiro, Ribeiro, Krabbe, AM, Renz and Gomes2004), who reported no significant effect of body weight on the relative weight of the gizzard of Ross 308 chicks on day 7. The gizzard acts as a pacemaker of normal gut motility (Ravindra and Abdollahi, Reference Ravindran and Abdollahi2021), stimulating the mixing of digesta with enzymes and nutrient digestion. In the present study, it may be suggested that the heavier relative gizzard weight observed in the UP chicks may not be necessarily related to the predicted feed intake as a function of bodyweight but could be associated with other factors related to the environment such as habitual consumption of bedding which may consequently influence gizzard weight (Svihus, Reference Svihus2011).

Bone ash has been used to assess skeletal mineralization in poultry production (Hall et al., Reference Hall, Shirley, Bakalli, Aggrey, Pesti and Edwards2003), whereby the percentage of bone ash is a general indicator of bone mineralization (Thorp and Waddington, Reference Thorp and Waddington1997). High bone ash and mineralization correlates to stronger bone and ability of the skeleton to withstand gravity and additional loading (Shim et al., Reference Shim, Karnuah, Mitchell, Anthony, Pesti and Aggrey2012). Calcium, one of the primary bone minerals, showed no significant difference between the two groups. Tibial P concentration, on the other hand, showed a significant increase in the SP chicks compared to the UP chicks; this increase in bone P concentration in the SP chicks may be linked to the Wnt signalling pathway which was enriched in the SP relative to the UP group. Wnt signalling had been reported to be associated with both calcium and P absorption in broilers (Wang et al., Reference Wang, Wang, Ding, Lu, Wu and Li2022). The Wnt signalling cascade had also been reported to play a central part in regulating the development of the calcium signalling pathway (Lu and Carson, Reference Lu and Carson2009). It is also noteworthy that the calcium signalling pathway was one of the most enriched pathways identified in the SP group relative to the UP. This may be attributed to the heavier bodyweight of the SP group with higher metabolic demand, as calcium signalling is important in stimulating metabolic processes and encouraging the differentiation of adipocytes (Song et al., Reference Song, Wang, Zhang, Yao and Sun2019). Taken together, these pathways identified in the SP group could be linked to the higher concentration of bone P in the SP group.

Minerals of physiological importance including toxic metals can bioaccumulate in calcified tissues such as teeth and bones (Rasmusson and Eriksson, Reference Rasmusson and Eriksson2001), and 80% of the bioaccumulation results from dietary intake (Baykov et al., Reference Baykov, Stoyanov and Gugova1996; Orzechowska-Wylęgała et al., Reference Orzechowska-Wylęgała, Obuchowicz, Malara, Fischer and Kalita2011). The UP group had significantly higher concentrations of tibial cadmium (Cd), caesium (Cs) and lead (Pb) compared to the SP group. The increase in the concentration of these minerals in the UP group merits further mechanistic investigation. For example, the higher bone Cd concentration may be linked to the decrease in phosphorus concentration in this group, as it was reported that when cadmium accumulates in the body, it causes damage to the kidney which in turns inhibits the activity of vitamin D, thus preventing the calcination and storage of phosphorus in the bone (Youness et al., Reference Youness, Mohammed and Morsy2012).

The exploratory ileal transcriptomic profiling of 7 Day old Ross 308 chicks was aimed at identifying the potential candidate genes and pathways associated with variability in growth performance of chicks at this life stage. The concept of the present study benefited from the sampling of chicks from the same breed population maintained under the same environmental and diet conditions. The functional annotation of the DEGs performed to elucidate the biological implication of these genes reported interesting observations which may be associated with the differences in the growth rate of these chicks.

In the current study, an upregulation of the IGF gene (IGF-1) in the SP group was observed relative to the UP, a gene which modulates the growth-promoting effect of growth hormones in mammals (Wang et al., Reference Wang, Ouyang, Ouyang, Li, Lin and Sun2004). IGF-1 is among the members of the insulin-like growth factor family which regulates cell growth and proliferation and plays a distinct role in lean meat content during the growth of dairy cattle (Mullen et al., Reference Mullen, Berry, Howard, Diskin, Lynch, Giblin, Kenny, Magee, Meade and Waters2011). IGF-1 is an important gene controlling body size (Wang et al., Reference Wang, Ouyang, Ouyang, Li, Lin and Sun2004). It has been reported that the signal transduction commenced from the binding of growth hormone (GH) to its receptor which leads to the activation of specific gene coding insulin like growth factor 1 (IGF-1) and is released into circulation to bind to its specific receptor known as the IGF type-1 receptor which then stimulates cell proliferation (Okumura and Kita, Reference Okumura and Kita1999). The up-regulation of the IGF-1 gene in the SP chicks relative to UP chicks could be associated with the greater bodyweight of the former, as this gene is wholly involved in growth and controlling body size (Wang et al., Reference Wang, Ouyang, Ouyang, Li, Lin and Sun2004).

There was an up-regulation in the expression of genes acting as immune mediators including pro-inflammatory cytokines and chemokines such as Interleukin 8 like 1 (IL8L1) in the SP compared to the UP group. Interleukin 8 Like 1 (IL8L1) has been reported to be involved in the recruitment of heterophils to the site of infection in the chicken intestine (Kogut et al., Reference Kogut, Tellez, McGruder, Hargis, Williams, Corrier and DeLoach1994; Kogut, Reference Kogut2002) and these heterophils are pivotal in activating the innate immune response (Genovese et al., Reference Genovese, Lowry, Genovese and Kogut2000). Based on the reported literature (Swaggerty et al., Reference Swaggerty, Ferro, Pevzner and Kogut2005; Bar-Shira and Friedman, Reference Bar-Shira and Friedman2006; Terada et al., Reference Terada, Nii, Isobe and Yoshimura2018), it may be speculated that the upregulations of these proinflammatory and chemokine genes in the ileum of the experimental chicks may play distinct roles in innate host defence triggered by exposure to feed and microorganisms during the first week of life. It has been reported that young hatchlings respond to environmental stimuli by gradual development of pro inflammatory functions (Withanage et al., Reference Withanage, Kaiser, Wigley, Powers, Mastroeni, Brooks, Barrow, Smith, Maskell and McConnell2004; Bar-Shira and Friedman, Reference Bar-Shira and Friedman2006). The immune protection of hatchlings could emanate from maternal antibodies which are active systemically and in the gut cavity and innate effector mechanisms which are active alongside all mucosa linings (Bar-Shira and Friedman, Reference Bar-Shira and Friedman2006).

Another cytokine that was upregulated in the SP chicks in the present study is Interleukin 26 (IL26). Interleukin 26 is a member of the IL-10 cytokine family which plays a role in the local mechanism of mucosal immunity and induces the expression of IL8 (Ouyang and O'Garra, Reference Ouyang and O'Garra2019). It has also been reported that the IL26 gene activates the immune-related pathways such as JAK/STAT, NF-kB, and MAPK signalling pathways; crosstalk between these pathways may modulate the expression of chemokines and cytokines in chicken cell lines (Truong et al., Reference Truong, Hong, Hoang, Lee and Hong2017). Also, the JAK/STAT pathway is crucial to T cell differentiation, B cell maturation, and development, secretion of SIgA, mucus, and antibody production which are pivotal to maintaining antiviral and anti-bacterial defence at the mucosal surface (Heneghan et al., Reference Heneghan, Pierre and Kudsk2013). Based on this report, the up regulation of IL26 and chemokine (IL8L1), may suggest that the SP chicks could be more advantaged in terms of innate preparedness of the gut for development and strong defence against enteric pathogens.

In addition to the increased expression of important pro-inflammatory cytokines genes involved in immune response, in the SP group, we observed an increase in the expression of glutathione S-transferase alpha (GSTA3), which is an antioxidant enzyme specifically involved in the clearance of various peroxidation products (Aniya and Imaizumi, Reference Aniya and Imaizumi2011). The increase in the expression of the GSTs (GSTA3) and their activities in the SP chicks compared to UP chicks may positively affect glutathione metabolism and metabolism of xenobiotics by cytochrome P450. The chicken intestine is known to be the primary site of exposure to dietary xenobiotics, which are potential toxins and may promote the proliferation of cellular free radicals (Wang et al., Reference Wang, Wang, Zhang, Wu and Qi2019). Thus, it may be speculated that the observed increase in expression of the GSTs genes in the SP group may play a strong role in the detoxification of xenobiotic toxins and reduction in oxidative stress compared to the UP chicks. This may also be attributed to the speculated higher feed intake in the SP chicks, as a result, SP group may be exposed to a higher intake rate of xenobiotics, thus higher expression of the GST genes to combat this.

It is also noteworthy that in the present study there was upregulation of microRNAs (MiRNAs) such as MiRNA 23, 25, 27 and 7 (Mir-23, Mir-25, Mir-27 and Mir-7), in the SP relative to UP group. MiRNAs are a class of endogenous non-coding RNA, comprising about 22 nucleotides (Bartel, Reference Bartel2004) which are known to play a crucial role in the regulation of gene expression at the post-transcriptional level. They act by binding complementary sequences on messenger RNA target genes, thereby causing cleavage or repressing translation (Bartel, Reference Bartel2004). Mir-27 is known to regulate the expression of NFE2L2 (a transcriptional factor that modulates gene transcription of antioxidant response element), and an increase in the expression level of NFE2L2 is associated with oxidative stress (Zaccaria et al., Reference Zaccaria, Curti, Di Lorenzo, Baldi, Maccario, Sommatis, Mocchi and Daglia2017). An increase in the expression level of Mir-27 has been reported to downregulate mRNAs coding for NFE2L2 and in turn reduce oxidative stress markers in an in-vitro study involving Human keratinocyte cell lines (HaCat cells) (Zaccaria et al., Reference Zaccaria, Curti, Di Lorenzo, Baldi, Maccario, Sommatis, Mocchi and Daglia2017). There was an upregulation of Mir-27 and downregulation of the NFE2L2 gene in the SP group relative to the UP group, this may agree with the study of Zaccaria et al. (Reference Zaccaria, Curti, Di Lorenzo, Baldi, Maccario, Sommatis, Mocchi and Daglia2017), who reported an increased expression level of Mir-27 which consequently led to a decrease in the expression level of NFE2L2 in an in-vitro experiment.

The enriched pathways annotated by DAVID from the DEGs reported in the SP and UP chicks revealed six pathways that could be associated with the differences in bodyweight performance of these chicks, and they involved calcium signalling, Wnt signalling, cytokine-cytokine receptor interaction, cardiac muscle contraction, mucin-type O-glycan biosynthesis, and other O-glycan biosynthesis. Genes involved in the calcium signalling pathway were mostly upregulated in the SP chicks which include HTR2A, ADCY1, CACNA1C, CCKAR and NOS2. Calcium signalling has been noted to be one of the highly versatile intracellular signals that participates in cell signalling for a wide range of cell processes such as apoptosis, cell cycle, division, migration, invasion, metabolism, differentiation, transcription etc. (Pratt et al., Reference Pratt, Hernández-Ochoa and Martin2020). The Ca ion governs intracellular signalling pathways and contributes to long term physiological response regulation such as muscle contraction, neurotransmission and metabolic regulation (Pratt et al., Reference Pratt, Hernández-Ochoa and Martin2020). This important pathway enriched in the SP chicks may be playing a vital role in growth and contributing to the differences observed in the SP and UP groups. Importantly, further studies may be merited to understand if circulatory levels of calcium serve as a better biomarker in assessing differences in growth rates in broiler chicks.

The second most enriched pathway reported in this study was the Wnt signalling pathway. This pathway has been reported to play a vital role in self-renewal of most tissue in mammals, particularly the development and renewal of small intestinal epithelial tissue and stimulates the differentiation of Paneth cells at the base of the crypt (Liu et al., Reference Liu, Xiao, Xiao, Niu, Li, Zhang, Zhou, Shu and Yin2022). It is also reported to be linked to liver development, haematopoietic system development and osteoblast maturation (Clevers, Reference Clevers2006; Perugorria et al., Reference Perugorria, Olaizola, Labiano, Esparza-Baquer, Marzioni, Marin, Bujanda and Banales2019). Wnt signalling also facilitates Ca and P metabolism in broilers (Wang et al., Reference Wang, Wang, Ding, Lu, Wu and Li2022), thus the enrichment of the Wnt pathway in the SP group in this study may be linked to the increase in the concentration of bone P in the SP compared to the UP group, as higher concentration of minerals in animal tissues are a valuable biomarker of its bioavailability (Wang et al., Reference Wang, Cerrate, Coto, Yan and Waldroup2007). The significance of the Wnt signalling and its implication in the SP chicks in the present study may provide insight into the underlying factors contributing to growth and body size differences in these groups of chicks studied.

Most of the genes involved in Wnt signalling, cytokine-cytokine receptor interaction, and mucin-type O-glycan biosynthesis was up-regulated in the SP chicks' group. Notably, all genes related to mucin-type O-glycan biosynthesis were upregulated in the SP group, which includes ST3GAL1, GALNT15 and WBSCR17. It has been demonstrated that mucin-type O-glycans are pivotal in establishing whether host diseases will be averted or promoted concerning interactions with microbes present in the environment (Bergstrom and Xia, Reference Bergstrom and Xia2013). Mucins are the main component of mucus which are secreted by the goblet cells and form a protective homoeostatic barrier between resident microbiota and the underlying immune cells (Johansson et al., Reference Johansson, Phillipson, Petersson, Velcich, Holm and Hansson2008; Struwe et al., Reference Struwe, Gough, Gallagher, Kenny, Carrington, Karlsson and Rudd2015). It has been reported that homoeostasis of gut bacteria in chicken can be implicated by mucin types, O-glycan composition, i.e., the extent of glycosylation and oligomerization of mucin and mucus layer characteristics (Derrien et al., Reference Derrien, van Passel, van de Bovenkamp, Schipper, de Vos and Dekker2010). Having the mucin type O-glycan pathway activated in the SP group may suggest implications which include, a higher level of mucin glycosylation which may enable mucins to function as a protective barrier. Mucus production is very important in young chicks for gut protection as they still have a developing immune system (Duangnumsawang et al., Reference Duangnumsawang, Zentek and Boroojeni2021), and for assimilation of metal ions in an available form in the intestine (Powell et al., Reference Powell, Jugdaohsingh and Thompson1999).

An important consideration which may be influencing the changes in DEG are that the SP chicks, ranked on the basis of BW on Day 7, exhibited greater bodyweight at day 1 when compared to the UP chicks. Bodyweight has been reported to be highly correlated to feed intake in Ross 308 broiler chicks (Mohammadrezaei et al., Reference Mohammadrezaei, Gheisari, Toghyani and Toghyani2011). The SP group likely consumed more feed post-hatch compared to the UP group, driving the development of the intestinal epithelium including enterocytes and goblet cells which drove gut barrier function, as suggested by the enriched pathways implicated in the SP group. Immediate access to feed by hatchlings has been reported to support intestinal epithelium development including goblet cells and enterocytes for more efficient barrier function (Duangnumsawang et al., Reference Duangnumsawang, Zentek and Boroojeni2021). In the present study, 7-day old chicks in the SP group exhibited superior bodyweight from day 1 compared to the UP group. Thus, this may affect the ability of the chicks in the groups to access feed due to hierarchy, thereby affecting growth performance especially in the UP group.

Conclusion

The present study revealed differences in the digestive organ weights, bone ash and mineral concentrations in 7-day old Ross 308 chicks with distinct bodyweights. The present study collected data from chicks raised in one pen, which may be a potential source of limitation in the study, replication is recommended in further research to get more detailed knowledge of the wider population. The SP chicks had higher bone ash and bone P concentration which may be linked to the enriched Wnt signalling pathway in this group relative to the UP group. The increase in bone Cd, Pb and Cs in the UP-group merits further mechanistic investigation, to ascertain the possible drivers of the accumulation. The transcriptomic profile revealed DEG in the ileum of 7 days old Ross 308 broiler chicks with distinct body weight. We observed the up regulation of cytokines and chemokine genes, GSTs and Mir genes, together with Ca signalling and Wnt signalling pathways in the SP group relative to the UP group, which may be involved in the difference between the bodyweight groups.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S0021859624000571

Acknowledgements

The authors truly appreciate the NASC (Nottingham Arabidopsis Stock Centre) for their support with the transcriptomic analysis. Our appreciation also goes to Jennifer Hankin, and Saul Vazquez Reina for their technical support with the laboratory analysis.

Authors’ contributions

This study was conceived by COS. COS and CLE designed the experiment, CLE conducted the experiment, CLE, COS, BB and MC analysed data, CLE wrote the original manuscript draft, CLE, BB, GW, EB, MC and COS reviewed and edited the manuscript.

Funding statement

The University of Nottingham Vice Chancellor's Scholarship for Research Excellence (International) is acknowledged for funding the doctoral study of the first author, Chinwendu Lorrita Elvis-Chikwem

Competing interests

Cormac J. O'Shea is a member of the Editorial board of the Journal of Agricultural Science, therefore in other to mitigate this potential conflict of interest, he was blinded from the review process.

Ethical standards

All experimental protocols used in the study were approved by the University of Nottingham Animal Ethics Committee (approval reference number 223). The UK national NC3R ARRIVE guidelines for care, use and reporting of animals in research (Kikenny et al., Reference Kikenny, Browne, Cuthill, Emerson and Altman2010) were followed during the study.

References

Aniya, Y and Imaizumi, N (2011) Mitochondrial glutathione transferases involving a new function for membrane permeability transition pore regulation. Drug Metabolism Reviews 43, 292299.CrossRefGoogle ScholarPubMed
Bar-Shira, E and Friedman, A (2006) Development and adaptations of innate immunity in the gastrointestinal tract of the newly hatched chick. Developmental & Comparative Immunology 30, 930941.CrossRefGoogle ScholarPubMed
Bartel, DP (2004) MicroRNAs: genomics, biogenesis, mechanism, and function. Cell 116, 281297.CrossRefGoogle ScholarPubMed
Baykov, BD, Stoyanov, MP and Gugova, ML (1996) Cadmium and lead bioaccumulation in male chickens for high food concentrations. Toxicological & Environmental Chemistry 54, 155159.CrossRefGoogle Scholar
Bergstrom, KS and Xia, L (2013) Mucin-type O-glycans and their roles in intestinal homeostasis. Glycobiology 23, 10261037.CrossRefGoogle ScholarPubMed
Clevers, H (2006) Wnt/β-catenin signalling in development and disease. Cell 127, 469480.CrossRefGoogle ScholarPubMed
Derrien, M, van Passel, MWJ, van de Bovenkamp, JHB, Schipper, RG, de Vos, WM and Dekker, J (2010) Mucin-Bacterial interactions in the human oral cavity and digestive tract. Gut Microbes 1, 254268.CrossRefGoogle ScholarPubMed
Dibner, JJ, Knight, CD, Kitchell, ML, Atwell, CA, Downs, AC and Ivey, FJ (1998) Early feeding and development of the immune system in neonatal poultry. Journal of Applied Poultry Research 7, 425436.CrossRefGoogle Scholar
Duangnumsawang, Y, Zentek, J and Boroojeni, FG (2021) Development and functional properties of intestinal mucus layer in poultry. Frontiers in Immunology 12, 745849.CrossRefGoogle ScholarPubMed
Fitzsimons, C, Kenny, DA and McGee, M (2014) Visceral organ weights, digestion and carcass characteristics of beef bulls differing in residual feed intake offered a high concentration diet. Animal 8, 949959.CrossRefGoogle Scholar
Genovese, LL, Lowry, VK, Genovese, KJ and Kogut, MH (2000) Longevity of augmented phagocytic activity of heterophils in neonatal chickens following administration of Salmonella enteritidis-immune lymphokines to chickens. Avian Pathology 29, 117122.CrossRefGoogle ScholarPubMed
Hall, LE, Shirley, RB, Bakalli, RI, Aggrey, SE, Pesti, GM and Edwards, HM Jr (2003) Power of two methods for the estimation of bone ash of broilers. Poultry Science 82, 414418.CrossRefGoogle ScholarPubMed
Heneghan, AF, Pierre, JF and Kudsk, KA (2013) JAK-STAT and intestinal mucosal immunology. Jak-Stat 2, e25530.CrossRefGoogle ScholarPubMed
Honda, K, Saneyasu, T and Kamisoyama, H (2017) Gut hormones and regulation of food intake in birds. The Journal of Poultry Science 54, 103110.CrossRefGoogle ScholarPubMed
Iji, PA, Saki, A and Tivey, DR (2001) Body and intestinal growth of broiler chicks on a commercial starter diet. 1. intestinal weight and mucosal development. British Poultry Science 42, 505513.CrossRefGoogle ScholarPubMed
Jeurissen, SH, Janse, EM, Koch, G and De Boer, GF (1989) Postnatal development of mucosa-associated lymphoid tissues in chickens. Cell and Tissue Research 258, 119124.CrossRefGoogle ScholarPubMed
Jin, S, Fan, X, Yang, L, He, T, Xu, Y, Chen, X, Liu, P and Geng, Z (2019) Effects of rearing systems on growth performance, carcass yield, meat quality, lymphoid organ indices, and serum biochemistry of Wannan Yellow chickens. Animal Science Journal 90(7), 887893.CrossRefGoogle ScholarPubMed
Johansson, ME, Phillipson, M, Petersson, J, Velcich, A, Holm, L and Hansson, GC (2008) The inner of the two Muc2 mucin-dependent mucus layers in colon is devoid of bacteria. Proceedings of the National Academy of Sciences 105, 1506415069.CrossRefGoogle Scholar
Kikenny, C, Browne, WJ, Cuthill, IN, Emerson, M and Altman, DS (2010) The ARRIVE Guidelines. Animal Research: reporting of In Vivo Experiments, National Centre for the Replacement Refinement and Reduction of Animals Research.Google Scholar
Kogut, MH (2002) Dynamics of a protective avian inflammatory response: the role of an IL-8-like cytokine in the recruitment of heterophils to the site of organ invasion by Salmonella enteritidis. Comparative Immunology, Microbiology and Infectious Diseases 25, 159172.CrossRefGoogle Scholar
Kogut, MH, Tellez, GI, McGruder, ED, Hargis, BM, Williams, JD, Corrier, DE and DeLoach, JR (1994) Heterophils are decisive components in the early responses of chickens to Salmonella enteritidis infections. Microb. Pathogenesis 16, 141151.CrossRefGoogle Scholar
Liu, J, Xiao, Q, Xiao, J, Niu, C, Li, Y, Zhang, X, Zhou, Z, Shu, G and Yin, G (2022) Wnt/β-catenin signalling: function, biological mechanisms, and therapeutic opportunities. Signal Transduction and Targeted Therapy 7, 3.CrossRefGoogle ScholarPubMed
Lu, D and Carson, DA (2009) Spiperone enhances intracellular calcium level and inhibits the Wnt signalling pathway. BMC Pharmacology 9, 18.CrossRefGoogle Scholar
Lundberg, R, Scharch, C and Sandvang, D (2021) The link between broiler flock heterogeneity and cecal microbiome composition. Animal Microbiome 3, 114.CrossRefGoogle ScholarPubMed
Mohammadrezaei, M, Gheisari, A, Toghyani, M and Toghyani, M (2011) Modeling daily feed intake of broiler chicks. In 4th International Conference in Animal Nutrition, Malaysia.CrossRefGoogle Scholar
Mohammed, MK, Shao, C, Wang, J, Wei, Q, Wang, X, Collier, Z, Tang, S, Liu, H, Zhang, F, Huang, J and Guo, D (2016) Wnt/β-catenin signalling plays an ever-expanding role in stem cell self-renewal, tumorigenesis and cancer chemoresistance. Genes & Diseases 3, 1140.CrossRefGoogle ScholarPubMed
Mullen, MP, Berry, DP, Howard, DJ, Diskin, MG, Lynch, CO, Giblin, L, Kenny, DA, Magee, DA, Meade, KG and Waters, SM (2011) Single nucleotide polymorphisms in the insulin-like growth factor 1 (IGF-1) gene are associated with performance in Holstein-Friesian dairy cattle. Frontiers in Genetics 2, 3.CrossRefGoogle ScholarPubMed
Okumura, J and Kita, K (1999) Recent advances in the relationship between endocrine status and nutrition in chickens-review. Asian-Australasian journal of animal sciences 12(7), 11351141.CrossRefGoogle Scholar
Orzechowska-Wylęgała, B, Obuchowicz, A, Malara, P, Fischer, A and Kalita, B (2011) Cadmium and lead accumulate in the deciduous teeth of children with celiac disease or food allergies. International Journal of Stomatology & Occlusion Medicine 4, 2831.CrossRefGoogle ScholarPubMed
Ouyang, W and O'Garra, A (2019) IL-10 family cytokines IL-10 and IL-22: from basic science to clinical translation. Immunity 50, 871891.CrossRefGoogle ScholarPubMed
Perugorria, MJ, Olaizola, P, Labiano, I, Esparza-Baquer, A, Marzioni, M, Marin, JJ, Bujanda, L and Banales, JM (2019) Wnt–β-catenin signalling in liver development, health and disease. Nature reviews Gastroenterology & Hepatology 16, 121136.CrossRefGoogle ScholarPubMed
Piórkowska, K, Żukowski, K, Połtowicz, K, Nowak, J, Ropka-Molik, K, Derebecka, N, Wesoły, J and Wojtysiak, D (2020) Identification of candidate genes and regulatory factors related to growth rate through hypothalamus transcriptome analyses in broiler chickens. BMC Genomics 21, 112.CrossRefGoogle ScholarPubMed
Powell, JJ, Jugdaohsingh, R and Thompson, RPH (1999) The regulation of mineral absorption in the gastrointestinal tract. Proceedings of the Nutrition Society 58, 147153.CrossRefGoogle ScholarPubMed
Pratt, SJ, Hernández-Ochoa, E and Martin, SS (2020) Calcium signalling breast cancer's approach to manipulation of cellular circuitry. Biophysical Reviews 12, 13431359.CrossRefGoogle ScholarPubMed
Rasmusson, CG and Eriksson, MA (2001) Celiac disease and mineralization disturbances of permanent teeth. International Journal of Paediatric Dentistry 11, 179183.CrossRefGoogle ScholarPubMed
Ravindran, V and Abdollahi, MR (2021) Nutrition and digestive physiology of the broiler chick: state of the art and outlook. Animals 11, 2795.CrossRefGoogle ScholarPubMed
Ribeiro, AML, Ribeiro, AML, Krabbe, EL, AM, PJ, Renz, SV and Gomes, HA (2004) Effect of chick weight, geometric mean diameter and sodium level in prestarter diets (1 to 7 Days) on broiler performance up to 21 days of age. Revista Brasileira de Ciência Avícola 6, 230.CrossRefGoogle Scholar
Ross, R (2019) 308 Ross 308 FF performance objectives. Huntsville, AL: Aviagen.Google Scholar
Scanes, CG and Pierzchala-Koziec, K (2014) Biology of the gastro-intes- tinal tract in poultry. Avian Biology Research 7, 193222.CrossRefGoogle Scholar
Schokker, D, Hoekman, AJ, Smits, MA and Rebel, JM (2009) Gene expression patterns associated with chicken jejunal development. Developmental & Comparative Immunology 33, 11561164.CrossRefGoogle ScholarPubMed
Shim, MY, Karnuah, AB, Mitchell, AD, Anthony, NB, Pesti, GM and Aggrey, SE (2012) The effects of growth rate on leg morphology and tibia breaking strength, mineral density, mineral content, and bone ash in broilers. Poultry Science 91(8), 17901795.CrossRefGoogle ScholarPubMed
Shira, EB, Sklan, D and Friedman, A (2005) Impaired immune responses in broiler hatchling hindgut following delayed access to feed. Veterinary Immunology and Immunopathology 105, 3345.CrossRefGoogle ScholarPubMed
Smith, RM, Gabler, NK, Young, JM, Cai, W, Boddicker, NJ, Anderson, MJ, Huff-Lonergan, E, Dekkers, JCM and Lonergan, SM (2011) Effects of selection for decreased residual feed intake on composition and quality of fresh pork. Journal of Animal Science 89, 192200.CrossRefGoogle ScholarPubMed
Song, Z, Wang, Y, Zhang, F, Yao, F and Sun, C (2019) Calcium signalling pathways: key pathways in the regulation of obesity. International Journal of Molecular Sciences 20, 2768.CrossRefGoogle ScholarPubMed
Struwe, WB, Gough, R, Gallagher, ME, Kenny, DT, Carrington, SD, Karlsson, NG and Rudd, PM (2015) Identification of O-glycan structures from chicken intestinal mucins provides insight into Campylobacter jejuni pathogenicity*[S]. Molecular & Cellular Proteomics 14, 14641477.CrossRefGoogle Scholar
Sugiharto, S (2016) Role of nutraceuticals in gut health and growth performance of poultry. Journal of the Saudi Society of Agricultural Sciences 15, 99111.CrossRefGoogle Scholar
Suttle, NF (2010) The Mineral Nutrition of Livestock, 4th Edn. Oxfordshire, UK: CABI Publishing.CrossRefGoogle Scholar
Svihus, B (2011) The gizzard: function, influence of diet structure and effects on nutrient availability. World's Poultry Science Journal 67, 207224.CrossRefGoogle Scholar
Svihus, B (2014) Function of the digestive system. Journal of Applied Poultry Research 23(2), 306314.CrossRefGoogle Scholar
Swaggerty, CL, Ferro, PJ, Pevzner, IY and Kogut, MH (2005) Heterophils are associated with resistance to systemic Salmonella enteritidis infections in genetically distinct chicken lines. FEMS Immunology and Medical Microbiology 43, 149154.CrossRefGoogle ScholarPubMed
Tang, D, Li, Z, Mahmood, T, Liu, D, Hu, Y and Guo, Y (2020) The association between microbial community and ileal gene expression on intestinal wall thickness alterations in chickens. Poultry Science 99, 18471861.CrossRefGoogle ScholarPubMed
Tejeda, OJ, Meloche, KJ and Starkey, JD (2021) Effect of incubator tray location on broiler chicken growth performance, carcass part yields, and the meat quality defects wooden breast and white striping. Poultry Science 100, 654662.CrossRefGoogle ScholarPubMed
Terada, T, Nii, T, Isobe, N and Yoshimura, Y (2018) Changes in the expression of avian β-defensins (AvBDs) and proinflammatory cytokines and localization of AvBD2 in the intestine of broiler embryos and chicks during growth. The Journal of Poultry Science 55, 280287.CrossRefGoogle ScholarPubMed
Thorp, BH and Waddington, D (1997) Relationships between the bone pathologies, ash, and mineral content of long bones in 35-day old broiler chickens. Research in Veterinary Science 62, 6773.CrossRefGoogle ScholarPubMed
Tona, K, Onagbesan, O, De Ketelaere, B, Decuypere, E and Bruggeman, V (2004b) Effect of age of broiler breeders and egg storage on egg quality, hatchability, chick quality, chick weight and chick post hatch growth to 42 days. Journal of Applied Poultry Research 13, 1018.CrossRefGoogle Scholar
Truong, AD, Hong, Y, Hoang, CT, Lee, J and Hong, YH (2017) Chicken IL-26 regulates immune responses through the JAK/STAT and NF-κB signalling pathways. Developmental & Comparative Immunology 73, 1020.CrossRefGoogle Scholar
Underwood, EJ and Suttle, NF. (1999) Zinc. In Underwood, EJ and Suttle, NF (eds). The mineral nutrition of livestock, 3rd edn, UK: CABI Publishing, Biddles Ltd., Guilford and King’S Lynn, pp. 477512.CrossRefGoogle Scholar
Wang, W, Ouyang, K, Ouyang, J, Li, H, Lin, S and Sun, H (2004) Polymorphism of insulin-like growth factor I gene in six chicken breeds and its relationship with growth traits. Asian-Australasian Journal of Animal Sciences 17, 301304.CrossRefGoogle Scholar
Wang, Z, Cerrate, S, Coto, C, Yan, F and Waldroup, PW (2007) Evaluation of Mintrex copper as a source of copper in broiler diets. International Journal of Poultry Science 6, 308313.CrossRefGoogle Scholar
Wang, WW, Wang, J, Zhang, HJ, Wu, SG and Qi, GH (2019) Transcriptome analysis reveals mechanism underlying the differential intestinal functionality of laying hens in the late phase and peak phase of production. BMC Genomics 20, 114.CrossRefGoogle ScholarPubMed
Wang, B, Wang, S, Ding, M, Lu, H, Wu, H and Li, Y (2022) Quercetin regulates calcium and phosphorus metabolism through the Wnt signalling pathway in broilers. Frontiers in Veterinary Science 8, 786519.CrossRefGoogle Scholar
Weaver, CM, Alexander, DD, Boushey, CJ, Dawson-Hughes, B, Lappe, JM, LeBoff, MS, Liu, S, Looker, AC, Wallace, TC and Wang, DD (2016) Calcium plus vitamin D supplementation and risk of fractures: an updated meta-analysis from the National Osteoporosis Foundation. Osteoporosis International 27, 367376.CrossRefGoogle ScholarPubMed
Willemsen, H, Everaert, N, Witters, A, De Smit, L, Debonne, M, Verschuere, F, Garain, P, Berckmans, D, Decuypere, E and Bruggeman, V (2008) Critical assessment of chick quality measurements as an indicator of posthatch performance. Poultry Science 87, 23582366.CrossRefGoogle Scholar
Withanage, GSK, Kaiser, P, Wigley, P, Powers, C, Mastroeni, P, Brooks, H, Barrow, P, Smith, A, Maskell, D and McConnell, I (2004) Rapid expression of chemokines and proinflammatory cytokines in newly hatched chickens infected with Salmonella enterica serovar typhimurium. Infection and Immunity 72, 21522159.CrossRefGoogle ScholarPubMed
Yair, R and Uni, Z (2011) Content and uptake of minerals in the yolk of broiler embryos during incubation and effect of nutrient enrichment. Poultry Science 90, 15231531.CrossRefGoogle ScholarPubMed
Yerpes, M, Llonch, P and Manteca, X (2020) Factors associated with cumulative first week mortality in broiler chicks. Animals 10, 310.CrossRefGoogle ScholarPubMed
Youness, ER, Mohammed, NA and Morsy, FA (2012) Cadmium impact and osteoporosis: mechanism of action. Toxicology Mechanisms and Methods 22, 560567.CrossRefGoogle ScholarPubMed
Zaccaria, V, Curti, V, Di Lorenzo, A, Baldi, A, Maccario, C, Sommatis, S, Mocchi, R and Daglia, M (2017) The effect of green and brown propolis extracts on the expression levels of microRNAs, mRNAs and proteins, related to oxidative stress and inflammation. Nutrients 9, 1090.CrossRefGoogle Scholar
Figure 0

Table 1. Digestive tract and ancillary organ weight of chicks at 7 days of age (n = 10 per BW group)

Figure 1

Table 2. Tibial ash and macro mineral concentrations of the UP and SP chicks at D7 of age, (n = 10 chicks per BW group)

Figure 2

Table 3. Tibial trace mineral concentrations of the UP and SP chicks at D7 of age (n = 10 chicks per BW group)

Figure 3

Table 4. Most conspicuous differentially expressed genes (fold change from +1.50 or −1.50) in the ileum of 7-day old Ross 308 male chicks in SP group compared to the UP group

Figure 4

Figure 1. Functional annotation of the ileal DEGs in 7-day old Ross 308 chicks (SP relative to UP), SP denotes super performer and UP denotes under performers. The higher the number of DEGs in each process, the more implicated will the process be in the SP group relative to the UP group.

Figure 5

Table 5. Identified pathways enriched in the SP chicks relative to the UP chicks

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