Literature DB >> 33518352

Dysregulated expression of mRNA and SNP in pulmonary artery remodeling in ascites syndrome in broilers.

Sufang Cheng1, Xin Liu2, Pei Liu3, Guyue Li3, Xiaoquan Guo3, Guoliang Hu3, Lin Li3, Cong Wu3, Zheng Xu4, Qi Zhou3, Jialin Jiang1, Shixian Luo5, Huajun Huang3.   

Abstract

Broiler ascites syndrome (AS), also called pulmonary artery hypertension, is a metabolic disorder that has been observed worldwide in fast-growing broilers. Pulmonary arterial remodeling is a key step in the development of AS. The precise relationship between mRNA and SNP of the pulmonary artery in regulating AS progression remains unclear. In this study, we obtained pulmonary artery tissues from broilers with AS to perform pathologic section and pathologic anatomic observation. SNP, InDel, and mRNA data analysis were carried out using GATK and ANNOVAR software to study the SNP loci of 985 previously reported genes (437 upregulated and 458 downregulated). The pathology results showed that there was a lot of yellow fluid in the abdominal cavity and pericardium, that the ascites cardiac index and hematocrit changed significantly, and that the pulmonary artery had remodeled and become thicker in the disease group. Myocardial sections showed vacuolar degeneration of myocytes and rupture of muscle fibers. In addition, ALDH7A1, IRG1, GGT5, IGSF1, DHX58, USP36, TREML2, SPAG1, CD34, and PLEKHA7 were found to be closely associated with the pathogenesis of pulmonary artery remodeling in AS progression. Taken together, our present study further illuminates the molecular mechanism of pulmonary artery remodeling underlying AS progression.
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  SNP; ascites syndrome of broiler; mRNA; pulmonary artery remodeling

Mesh:

Substances:

Year:  2020        PMID: 33518352      PMCID: PMC7936122          DOI: 10.1016/j.psj.2020.11.054

Source DB:  PubMed          Journal:  Poult Sci        ISSN: 0032-5791            Impact factor:   3.352


Introduction

Pulmonary arterial hypertension (PAH), also called pulmonary hypertension (PH) or broiler ascites syndrome (AS), is a metabolic disorder disease, which has been observed worldwide in fast growing broilers. It is characterized of excess proliferation, apoptosis resistance, inflammation, fibrosis, and vasoconstriction. Many researchers believe that AS is related to nutritional, management, environmental, and genetic factors (Julian, 2000; Olkowski, 2007; Baghbanzadeh and Decuypere, 2008). Ascites syndrome could cause relative hypoxia in the chicken's body, resulting in a series of pathophysiological changes including PH, pulmonary vascular remodeling, and cardiac hypertrophy and failure, the production of free radicals which could increase lipid peroxidation, and so on (Wideman et al., 2013). Recent studies have found the impact of pulmonary vascular remodeling on the development of PAH which involves a complex and multifactorial process in which endothelium-derived vasoactive molecules, such as endothelin-1, vascular endothelial growth factor, insulin-like growth factors-Ⅱ, transforming growth factor-ɑ, platelet-derived growth factor receptor, erythropoietin, and hypoxia-inducible factor-la (HIF-lα) (Schermuly et al., 2011; Papamatheakis et al., 2013; Shimoda and Laurie, 2013; Wideman et al., 2013). These molecules have been increasingly recognized as critical factors and potential therapeutic targets in the treatment of PAH. In addition, these protein-coding genes contain at least 1 conserved microRNAs (miRNA)-binding site and numerous nonconserved site; most protein-coding genes may be under the control of miRNA (Schermuly et al., 2011; Papamatheakis et al., 2013; Shimoda and Laurie, 2013; Wideman et al., 2013). However, SNP within target genes could alter miRNA expression owing to altered mRNA levels. Thus, it has also been proposed that SNP within miRNA target genes (mRNA) that are associated with disease risk could be operating through their influence on miRNA (Mullany et al., 2015). Currently, this study provides a unique position to assess whether the SNP gene loci and target genes of miRNA influence miRNA expression in PAH underlying AS in broilers. To determine whether some SNP alter miRNA expression levels, we used non-PAH tissue and PAH tissue to evaluated the differences in the expression across genotypes. However, because an SNP could alter miRNA expression levels equally in both PAH and non-PAH tissue, such an association would not necessarily contribute to PAH underlying AS in broilers' risk. To determine whether SNP are associated with PAH by miRNA regulation, we sought to understanding the regulatory mechanism of miRNA and SNP related to target genes for altering the remodeling phenotype in the pulmonary vasculature. Finally, we evaluated the SNP associated with miRNA expression and the risk of PAH underlying AS in broilers.

Materials and methods

Ethics Statement, Experimental Design, and Animal Management

All animal experiments were approved by the Institutional Animal Care and Use Committee of Jiangxi Agricultural University. All care and procedures of the broiler chickens were made in strict accordance with the Guidelines of the Institutional Animal Care and Use Committee of Jiangxi Agricultural University. All efforts were carried out to minimize the suffering of the animals. Seventy five 21-day-old male Arbor Acre commercial broiler chickens were randomly divided into 2 groups: the normal group (20 birds) and the disease group (55 birds). All broilers in the normal group were put in the room temperature (20°C–25°C) and provided with tap water, while the broilers in the disease group were put in a relatively low temperature (approximately 14°C) and provided with the water with 0.3% salt. All birds were allowed to have free access to the same diet.

Sample Collection and Preparation

At the syndrome peak (35 d of age) from 28 d of age to 42 d of age, we paid close attention to the birds and the suspicious AS-like symptoms such as reluctance to move, AS-like depression, open-beak breathing, distended abdomen, and cyanosis. Once the birds were going to die, they were immediately sampled. At the time of necropsy, venous blood samples were taken from the wings to perform complete blood count. After removing the atrium and aorta, the right ventricle was separated from the septum and the left ventricular to measure ascites heart index (AHI), and then, right ventricular and total ventricular were weighted. In the meantime, the pulmonary artery was collected and quickly rinsed in the saline water. A part of the pulmonary artery was quickly frozen in liquid nitrogen and then stored in a refrigerator at −80°C for RNA sequencing, while another part of the pulmonary artery was cut and stored in 10% formaldehyde for pathologic observation. The samples were selected for the transcriptomic profile analysis based on the AS judgment criteria including AHI, hematocrit (HCT) and presence of yellow liquid in abdominal cavity and pericardium. Birds with AS were selected from the AS group (AHI > 0.28; HCT > 36%; presence of yellow liquid in abdominal cavity and pericardium) (Julian et al., 2000; Liu et al., 2017; Mullany et al., 2015). Normal chickens were selected from the normal group (AHI <0.219; HCT < 28%; presence of free yellow liquid in abdominal cavity and pericardium).

Histopathologic Examination of the Pulmonary Artery

To evaluate the histopathologic changes in the pulmonary arteries of broilers with AS, pulmonary arteries previously stored in 10% formaldehyde were transferred into 4% paraformaldehyde for more than 24 h to thoroughly fix the structure of the tissue. Then, pulmonary artery tissues were put in an ascending gradient of ethanol (70–99.5%) for dehydration. They were made transparent by dipping in xylene 3 times (for 4 min, 2 min, and 30 s). Next, they were put into 2 beakers filled with paraffin for 1 h. Finally, they were routinely sectioned and stained with hematoxylin eosin. The stained sections were inspected with a microscope (200× magnification) and were also imaged. Two pulmonary artery samples from 2 normal birds were selected for histopathologic examination and RNA sequencing.

mRNA Data Analysis

The pulmonary artery total RNA was extracted using TRIzol reagent (Invitrogen, Burlington, ON, Canada) as per the manufacturer's protocol. A total of 3 μg RNA per sample was used with sequencing libraries, which were generated using the NEBNext1UltraRNA Library Prep Kit for Illumina1 (NEB) following the manufacturer's recommendations, and the index codes were added to attribute the sequences to each sample. Data analysis has been reported in our previous experiments (Liu et al., 2017). Raw data in FASTQ format in the present study have been deposited in Short Read Archive database of the National Center for Biotechnology Information with an accession number SRP068247.

Analysis of SNP

SNP sites of upregulated and downregulated genes were analyzed for the normal group and the disease group of PAH of AS in broilers. Selection of mRNA-related SNP was between the differences of SNP associated with transcriptome data of the 2 groups by selecting 2 groups of samples with homozygous and different SNP. Specifically, the transcriptome mutation detection was conducted in GATK and SNP/InDel correlation were analyzed by ANNOVAR. At the same time, we filtered the SNP and corrected SNP near indel by GATK and screened nonoverlapping exons of SNP (reference reads ≥ 2, mutation reads ≥3, and mutation frequency 0.1∼0.9).

Results

Analysis of Related Indexes of Autopsy

Autopsy and pulmonary artery changes in the normal group and disease group were shown in Figure 1. There were apparent pale yellow liquid and obvious ascites in the abdominal cavity in the broilers with AS. Hemoglobin, AHI, and HCT values indicated that AS was extremely higher in the disease group compared with the normal group. The PH with right ventricular hypertrophy was significantly thicker in the disease group (Figure 2).
Figure 1

Necropsy changes and analysis of related biochemical indexes. Abbreviations: Dis, disease group; HCT, hematocrit; HGB, hemoglobin; Nor, normal group.

Figure 2

Heart and cardiac index analysis. (A) The normal heart; (B) The heart of the disease group; (C) Healthy pulmonary artery in normal group; (D) pulmonary artery hypertrophy and hemorrhage in disease group; (E) Summary of AHI in disease and normal groups. Abbreviations: Dis, disease group; Nor, normal group; RV/TV, right ventricular weight/total ventricular weight.

Necropsy changes and analysis of related biochemical indexes. Abbreviations: Dis, disease group; HCT, hematocrit; HGB, hemoglobin; Nor, normal group. Heart and cardiac index analysis. (A) The normal heart; (B) The heart of the disease group; (C) Healthy pulmonary artery in normal group; (D) pulmonary artery hypertrophy and hemorrhage in disease group; (E) Summary of AHI in disease and normal groups. Abbreviations: Dis, disease group; Nor, normal group; RV/TV, right ventricular weight/total ventricular weight.

Pathologic Changes in the Pulmonary Artery

The heart and pulmonary artery changes on the pathologic level were displayed in Figure 3. It was noticed that granular degeneration of myocardial cells, rupture of myocardial fibers, and high expansion of capillaries were observed. Meanwhile, the thickness of the pulmonary artery in the AS broilers was markedly elevated, while the medial smooth muscle layers became thicker and were discontinuous and disordered. Moreover, the mesenchyme between the muscular layers was much more loose in the broilers with AS compared with that in the normal broilers.
Figure 3

Observation of heart sections: In the D sample, (1) Myocardial cells showed granular degeneration, vacuole degeneration; (2) myocardial fiber rupture and high capillary expansion. Observation of pulmonary artery sections (200X, HE) The wall thickness of disease (D) pulmonary artery is markedly increased. In the D sample, 1) the smooth muscle fiber got thicker; 2) there was excessive fiber production; and 3) the intima was more compact. And, the arrows indicate the pathologic changes. Abbreviations: Dis, disease group; Nor, normal group.

Observation of heart sections: In the D sample, (1) Myocardial cells showed granular degeneration, vacuole degeneration; (2) myocardial fiber rupture and high capillary expansion. Observation of pulmonary artery sections (200X, HE) The wall thickness of disease (D) pulmonary artery is markedly increased. In the D sample, 1) the smooth muscle fiber got thicker; 2) there was excessive fiber production; and 3) the intima was more compact. And, the arrows indicate the pathologic changes. Abbreviations: Dis, disease group; Nor, normal group.

Differential Expression Analysis

The genes expression density distributions between disease and normal samples were shown. To understand the expression patterns of the differentially expressed genes, we performed hierarchical clustering of those differentially expressed genes based on the RPKM values for the genes in the 4 samples. Both disease samples and normal samples had high-expressed and low-expressed genes, implying that the development of AS relies on various mechanisms (Figure 4A). A total of 895 genes that were differentially expressed in the pulmonary arteries between the disease broilers and the normal broilers were identified. Among them, there were 437 upregulated genes and 458 downregulated genes (Figure 4B).
Figure 4

(A) Gene expression profile of disease group and normal group. (B) Volcano diagram displaying differentially expressed genes between the Dis and Nor samples. The significantly upregulated genes are in red and the downregulated genes are in green. Abbreviations: Dis, disease group; Nor, normal group.

(A) Gene expression profile of disease group and normal group. (B) Volcano diagram displaying differentially expressed genes between the Dis and Nor samples. The significantly upregulated genes are in red and the downregulated genes are in green. Abbreviations: Dis, disease group; Nor, normal group.

SNP Function Classification

Figure 5 shows the results of mutation detection using GATK software and SNP/InDel correlation using ANNOVAR software based on the transcriptome data. Our SNP data showed that most of the genes had no synonymous mutations, but there were some nonsynonymous mutations, which indicated that some amino acid sequences or functional RNA base sequences were mutated. Nonsynonymous mutations play an important role in evolutionary biology in determining gene positive selection and purifying selection.
Figure 5

SNP function classification diagram.

SNP function classification diagram. The essence of gene mutation is the change in DNA base sequences. DNA substitution mutations are of 2 types. Transitions are interchanges of two-ring purines (A-G) or of one-ring pyrimidines (C-T): they therefore involve bases of similar shape. Transversions are interchanges of purine for pyrimidine bases, which therefore involve exchange of one-ring and two-ring structures. It can be seen from Figure 6 that some genes in a large number of samples have base conversion and transversion, and the proportion of conversion is significantly higher than the proportion of transversion.
Figure 6

SNP mutation statistics.

SNP mutation statistics. We used the difference in SNP of 2 samples and the table of 2 groups of difference genes to merge and get the intersection results. The aim was to find differentially expressed gene, and the results were as follows (Table 1).
Table 1

Intersection of differential gene and differential SNP.

Associated gene nameGeneID#ChrStartEndRefMutQualityDis_ typeNor_ typeDis_ readNor_ readPadj
ALDH7A1ENSGALG00000008229Z78,751,03778,751,037CA1754.421|10|00,4123,00.01793
IRG1ENSGALG0000001691911.54 E+08153,687,812GA1335.851|10|00,312,02.11E-18
GGT5ENSGALG00000006501158,373,8418,373,841GC673.171|10|00,164,02.96E-06
IGSF1ENSGALG000000009742043,12143,121CT457.861|10|00,112,00.00991
DHX58ENSGALG00000023821274,825,7294,825,729GA392.861|10|00,102,01.56E-06
USP36ENSGALG000000284621810,052,16910,052,169GA191.671|10|00,51,00.03729
TREML2ENSGALG00000023780264,698,3554,698,355AC187.671|10|00,51,00.024573
SPAG1ENSGALG0000001603721.28 E+08128,193,163AG147.451|10|00,43,00.014448
SERPING1ENSGALG00000007381516,310,61716,310,617CT98.381|10|00,31,01.58E-05
CD34ENSGALG00000001177262,674,5572,674,557AG58.011|10|00,218,10.004791
PLEKHA7ENSGALG00000006090511,057,07211,057,072AT52.931|10|00,27,00.013052
Intersection of differential gene and differential SNP.

Discussion

Many studies demonstrated that mRNA expressions are tissue-specific and cell-specific and can be dysregulated in diseases. More importantly, many mRNA expression levels are correlated with disease severity (Grant et al., 2013; Xu et al., 2016). Many mRNA have been identified as being associated with PAH via high-throughput sequencing (Grant et al., 2013; Li et al., 2014). Sequence analysis showed that the main size of small RNA in the pulmonary arteries in normal chickens and disease chickens is 18–35, and 22 poly-N tags is the predominant size. This result is consistent with the known 19–24 nt range for miRNAs, and previous studies in chicken skeletal muscle, breast muscle tissues, and ovary also demonstrate similar results. Pulmonary arterial hypertension involves pathogenic dysregulation of all cell types within the small pulmonary arteries contributing to vascular remodeling leading to intimal lesions, resulting in elevated pulmonary vascular resistance and right heart dysfunction (Grant et al., 2013). In the present study, the pulmonary arteries from AS broilers were collected to investigate the relationship between mRNA and SNP using high-throughput sequencing technology. To correctly identify AS broilers before collecting samples for RNA sequencing, we used common parameters such as yellow liquid accumulation in the abdominal cavity and pericardium, AHI (right ventricular/total ventricular) > 0.249, and increased HCT and hemoglobin levels when compared with normal birds (Wideman et al., 2013; Bai et al., 2014; Babcock et al., 2015). These parameters supported our present results regarding right ventricular/total ventricular and the difference in routine blood indexes, such as HCT and hemoglobin, between the disease group and the control group (Figure 4). As per our previous RNA sequencing analysis in AS pulmonary arteries, there were a total of 895 miRNA detected, with 437 being upregulated and 458 being downregulated (Figure 4). The SNP loci of upregulated and downregulated genes were analyzed to identify the mutant genes, GATK was used for transcriptome mutation detection, and ANNOVAR was used for SNP/InDel correlation analysis. Mutation is the major source of selection and adaptation (Olkowski, 2007; Wideman et al., 2013). In the coding regions of DNA, it is expected that the nonsynonymous mutations that change the protein sequences would undergo strong selection, and those nonsense mutations that cause premature termination of protein synthesis are also highly deleterious and subject to purifying selection. However, the selection on synonymous mutations for a long time was thought to be negligible or very weak (Chu and Wei, 2019). In this study, it was shown that mutant genes promoted the pulmonary artery remodeling and contributed to PH occurrence. In this present experiment, we found the following mutated genes: ALDH7A1, IRG1, GGT5, IGSF1, DHX58, USP36, TREML2, SPAG1, CD34, PLEKHA7. In the present study, we observed that ALDH7A1 plays a key role in the pulmonary artery remodeling and vascular contraction, and they all contributed to the occurrence of AS by elevating vascular resistance. ALDH7A1 knockdown has been shown to cause reduced cell proliferation in the optic cup of the zebrafish (Babcock et al., 2014) and function degradation in lipid peroxidation in chickens (Bai et al., 2014). Cell proliferation are closely linked to pulmonary artery remodeling. Thus, this suggests that ALDH7A1 could serve as a potential gene target for preventing AS progression. Immune responsive gene 1 (IRG1) is referred to as a positive transcription factor as it induces several genes, which are important in regulating several immunologic and physiological functions in mammalian cells. Immune responsive gene 1 is also transcriptionally activated by several proinflammatory cytokines and pathogens. In addition, IRG1 is one of the highest expressed induced genes in macrophages under proinflammatory conditions. Therefore, IRG1 in inflammation could contribute to pulmonary artery remodeling, activating the development of PH. Previous studies have shown that in the mouse, macrophages under proinflammatory conditions, such as bacterial infections or lipopolysaccharide stimulation, there are high expression in IRG1 (Tallam et al., 2016), which is consistent with our results. Gamma-glutamyl transferase 5 is a key metabolism component responsible for the catalysis of important antioxidant glutathione. Gamma-glutamyl transferase 5 and its substrates probably play more important roles under certain types of pathologic stress, which is interesting and warrants further investigation (Li et al., 2016). Ig superfamily member 1 (IGSF1) and c58 were found to be associated with the “immune response” and be involved in cellular antiviral immunity by affecting the immunity-related genes. The IGSF1) gene encodes a plasma membrane glycoprotein, which causes different symptoms. Meanwhile, it was reported that DHX58 was significantly dysregulated by herpes simplex virus 1 infection (Shi et al., 2018). Loss-of-function analysis showed that IGSF1 and DHX58 knockdown could inhibit cell proliferation, leading to vascular dysfunction and a loss of vascular integrity via the regulation of the proliferation, migration, and survival of smooth muscle cells in mice (Li et al., 2010; Guan et al., 2019; Hebbar et al., 2020). This report supports our finding that IGSF1 and DHX58 gene mutations are involved in pulmonary arteries during AS progression. USP36 has been implicated in the regulation of nucleolar activity, which is a nucleolar protein related to ribosome biogenesis and RNA processing regulation. USP36-deficient morulae exhibit impaired protein synthesis, highlighting the importance of USP36 in this cellular process (Li et al., 2010; Guan et al., 2019; Hebbar et al., 2020). Moreover, northern blot analysis has shown that USP36 deficiency induces aberrations in rRNA synthesis and apoptosis at the preimplantation stage of development (Fraile et al., 2018). Whole-exome sequencing data identified a coding missense variant (rs3747742-C) in triggering receptor expressed on myeloid cells-like 2 (TREML2) gene. The variant rs3747742-C results in an amino acids substitution at residue144 of TREML2, which was expected to affect the biological functions of this protein. Triggering receptor expressed on myeloid cells-like 2 was revealed to be upregulated in microglia and astrocytes after inflammatory stimulation and might amplify inflammatory responses during disease progression (Jiang et al., 2017). Similar effect was found in IRG1, which plays an important role in pathologic sections. Mutations in SPAG1 causes primary ciliary dyskinesia associated with defective outer and inner dynein arms. Zebrafish morpholino studies of SPAG1 produced cilia-related phenotypes, which was previously reported for primary ciliary dyskinesia causing mutations in genes encoding cytoplasmic proteins, and the structural change of protein caused by the mutation of SPAG1 gene directly affects the function of organism. Hereditary vascular edema is an autosomal dominant disease characterized of recurrent edema attacks associated with morbidity and mortality. Hereditary vascular edema results from variations in the SERPING1 gene that provides instructions for making a protein called C1 inhibitor, which is a type of serine protease inhibitor (serpin). C1 inhibitor is important for controlling a range of processes involved in maintaining blood vessels, including inflammation. The changes in SERPING1 gene have a direct response to infection, irritation, and other injury on ascites in broilers (Calvo-Ferrer et al., 2019). CD34, a membrane glycoprotein, is a critical component of the group of surface receptors that regulate migration and engraftment of progenitor cells to target tissues. CD34+ endothelial progenitor cells play an important role in the recovery of the injured. Some studies found an increase in resident CD34-positive cells in the aortic tissue of humans and mice during ATH progression, as well as the presence of clusters of CD34-positive cells in the intima and adventitia of human ATH aortas (Hueso et al., 2019; Zhang et al., 2019). PLEKHA7 was found to play a significant role in hypertension,and it had complex risk of other SNP and would gradually increase the risk of hypertension. This discovery is in good agreement with our experimental result. Hence, these present results may implicate that these miRNA changes will result in changes of vessel wall and the function barrier in PAH by affecting some target genes at post-transcriptome level. In summary, those target genes of miRNA found in this study may promote the pulmonary artery remodeling by being involved in inflammation and proliferation. In the present study, the pathologic examination found the pulmonary artery remodeling characterized of thickening of the artery wall, especially in the medial intima consisting of vascular smooth muscle cells (Figure 2). Previous pathologic studies also reported similar characteristics of pulmonary artery remodeling in AS broilers, which resulted from hypertrophy, proliferation, and sparse migration of the affected cell (Qiao et al., 2012). Pulmonary vascular remodeling was confirmed as an important pathologic contributor to AS that leads to an increase in pulmonary vascular resistance, prolonging elevated arterial hypertension (Lin et al., 2017). Among vascular well cells, the proliferation and hypertrophy of vascular smooth muscle cells were thought to be a main contributor that facilitates pulmonary vascular remodeling and has an important role in AS progression (Wang et al., 2007), which was in accordance with the reported changes in this study. In addition, the pathologic observation further demonstrated that the current findings of differentially expressed mRNA and correlated targets in the pulmonary arteries from broilers with AS maybe the main molecular regulators for pulmonary artery remodeling.

Conclusion

The present study revealed specific potential pathways of the complex molecular circuitry in AS broilers such as mutant genes, including ALDH7A1, IRG1, GGT5, IGSF1, DHX58, USP36, TREML2, SPAG1, CD34 and PLEKHA7. Our study found the mutant genes, which further demonstrate that revealed target genes and pathways in this study are meaningful for the prevention of PAH in both humans and broilers in the future.
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