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Article

Comparative Analysis of the Liver and Spleen Transcriptomes between Holstein and Yunnan Humped Cattle

by
Yanyan Chen
1,2,
Benjuan Zeng
3,
Peng Shi
1,2,4,*,
Heng Xiao
3,* and
Shanyuan Chen
3,5,*
1
Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
2
Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650204, China
3
School of Life Sciences, Yunnan University, Kunming 650500, China
4
State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
5
National Demonstration Center for Experimental Life Sciences Education, Yunnan University, Kunming 650500, China
*
Authors to whom correspondence should be addressed.
Animals 2019, 9(8), 527; https://doi.org/10.3390/ani9080527
Submission received: 4 July 2019 / Revised: 21 July 2019 / Accepted: 31 July 2019 / Published: 5 August 2019
(This article belongs to the Section Animal Genetics and Genomics)
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Abstract

:

Simple Summary

Cattle are important agricultural animals that provide essential sources of meat, milk, fertilizer for crops, clothing, and animal traction for human use, and the demand for these products has increased in recent years. There are existing differences in disease resistance between different cattle breeds. However, the genetic basis underlying disease resistance differences is poorly understood and requires further investigation. In this study, many immune- and disease-relevant genes and pathways were identified between Holstein and Yunnan humped cattle using RNA-sequencing. The novel findings regarding the genetic basis underlying disease resistance differences between zebu cattle and taurine cattle will provide a scientific basis and key technical support for disease-resistant breeding of domestic cattle, and thus have important social and economic significance.

Abstract

Previous studies have shown that Yunnan humped cattle have higher disease resistance than pure taurine cattle, such as Holsteins. However, there exists limited information about the molecular genetic basis underlying disease resistance differences between them. The objective of this study was to compare differentially expressed genes (DEGs) in the liver and spleen tissues of Holstein and Yunnan humped cattle through comparative transcriptome analysis, using RNA-sequencing. In total, 1564 (647 up- and 917 down-regulated genes) and 1530 (716 up- and 814 down-regulated genes) DEGs were obtained in the liver and spleen tissues of Holstein and Yunnan humped cattle comparison groups, respectively. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis showed that the DEGs were mainly associated with the RIG-I signaling pathway, immune responses, major histocompatibility complex (MHC) class I protein complex and complement activation, human T-cell lymphotropic virus type-I (HTLV-I) infection. Some genes related to immune function, such as C1QB, CD55, MASP2, C4BPA, MAVS, NOD2, and CD46, were up-regulated in Yunnan humped cattle, while C2, SERPING1, SERPINE1, TIRAP, TLR2, and TLR6 were down-regulated. The expression levels of 11 selected DEGs, analyzed by quantitative reverse-transcription polymerase chain reaction (RT-qPCR), were consistent with the deep sequencing results by RNA-sequencing. Our results will provide a scientific basis and key technical support for disease-resistant breeding of domestic cattle.

1. Introduction

Cattle consist of two main types—taurine (Bos taurus) and zebu (Bos indicus) [1,2,3]. Yunnan humped are pure zebu cattle (Bos indicus) [4] distributed in the tropical and subtropical region of Yunnan Province, Southwestern China. This zebu-type breed has developed several valuable traits, such as high disease resistance and good adaptability to humid and hot climatic conditions. Compared to pure taurine cattle, such as Holstein cattle (Bos taurus), Yunnan humped cattle are relatively resistant to several animal diseases such as theileriosis [5], tuberculosis [6], and ticks [7], while Holstein cattle exhibit higher resistance to trypanosomiasis than Yunnan humped cattle [7,8]. However, little is known about the genetic basis underlying disease resistance differences between Holstein and Yunnan humped cattle. We speculate that the zebu cattle evolved certain mechanisms to prevent disease infection.
In recent years, the phenomenon of the disease resistance differences among cattle breeds has attracted considerable interest, and various studies have shown that there are disease resistance differences between Holstein and zebu cattle [9]. Toll-like receptor genes (TLRs, TLR1-TLR10) have been extensively studied in cattle breeds, and the results have indicated that the nucleotide polymorphisms between Holstein and zebu cattle are different [10,11,12], and the single-nucleotide polymorphisms (SNPs) potentially are eliciting effects on susceptibility to Mycobacterium avium ssp. paratuberculosis infection in cattle breeds [13]. Additionally, previous studies have demonstrated that the diversity of many immunity-related genes (ART4, CD2, and IL13) is higher within zebu cattle than in Holstein cattle [14]. However, the research involved in diseases of domestic cattle is limited to some SNPs on single immunity-related genes [10,14]. Therefore, it is crucial for scientists to determine the causes of disease resistance and to identify the genes that are associated with immunity- and disease-related differences between breeds
The spleen is the largest organ in the lymphatic system and plays an important role in the immune system [15] and many immune cells, including B cells, T cells, natural killer (NK) cells, and macrophages, exist in the spleen [16]. The liver is the largest lymph-producing organ and is associated with many diseases [17]. Therefore, both spleen and liver are excellent materials for the study of differences in disease resistance between cattle breeds. Here, we used RNA-sequencing (RNA-seq) to investigate the gene expression patterns in liver and spleen transcriptomes in Holstein and Yunnan humped cattle. Differentially expressed genes (DEGs) were identified to investigate potential molecular biomarkers in the liver and spleen transcriptomes that are related to differences in disease resistance between Holstein and Yunnan humped cattle.

2. Material and Methods

2.1. Sample Collection

All of the animals mentioned in this study were approved by the Committee on Animal Research and Ethics of Yunnan University (approval number: ynucae20190011) and all the experimental methods were performed in accordance with the relevant guidelines and regulations. Ten unrelated Yunnan humped cattle (n = 5, experimental group) and Holstein cattle (n = 5, control group) were collected from Yunnan province, China. All of these individuals were of same age, unrelated, and reared under the same standard. The liver and spleen tissues were harvested within 20 min after slaughter, and all tissue samples were preserved in RNAlater solution (TIANGEN Biotech, Beijing, China). All samples were stored at 4 °C for 24 h, then frozen at −80 °C until use.

2.2. RNA Extraction, Transcriptome Library Construction, and Sequencing

Total RNA was extracted from liver and spleen tissues using the TRIzol total RNA extraction kit (Invitrogen Company, Shanghai, China) following the manufacturer’s instructions. RNA integrity was evaluated using the Agilent 2100 Bioanalyzer (Agilent Technologies, Santa Clara, CA, USA). Samples with RNA Integrity Numbers (RIN) ≥7 were subjected to further analysis. The libraries were constructed using TruSeq Stranded Total RNA with Ribo-Zero Gold, according to the manufacturer’s instructions, using high-quality RNA purified from liver and spleen tissues. These libraries were sequenced on the Illumina sequencing platform (HiSeqTM 2500 or other platform) and 150 bp/125 bp paired-end reads were generated. The clean reads were deposited in the National Center for Biotechnology Information (NCBI) sequence read archive (SRA) database under accession numbers SRR8712446–SRR8712465.

2.3. Quality Control and Reads Mapping

Clean data (clean reads) were obtained by removing reads containing adapters and ploy-N, as well as low-quality reads (reads containing only adapters and empty reads) from the raw data. At the same time, Q20, Q30, Q40, GC-content, and sequence duplication level of the clean data were calculated using Trimmomatic [18]. All the downstream analyses were based on the clean, high-quality data. The clean reads were aligned to the reference sequence of the Bos taurus genome (version UMD 3.1.1) using TopHat2 [19]. Additionally, this method was used to determine the position information in the reference genome or gene, and specific characteristic information of sequenced samples.

2.4. Differentially Expressed Gene Analysis

Numbers of reads in the RNA-seq analysis were normalized against reads per kilo base of transcripts per million (RPKM) to compute the gene expression levels [20]. The DESeq package [21] was used to identify the DEGs in liver and spleen transcriptomes between Holstein and Yunnan humped cattle. p-value < 0.05, false discovery rate (FDR) < 0.05 and |log2 (FoldChange)| > 2 were set as thresholds for significant differential expression.

2.5. Enrichment Analysis of Differentially Expressed Genes (DEGs)

To further investigate and compare the functions of those DEGs, Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed using the DAVID bioinformatics resource tool [22] to describe the biological process (BP), cellular components (CC), molecular function (MF), and KEGG pathway. GO and KEGG terms were calculated by Fisher’s exact test with a threshold p-value < 0.05.

2.6. Quantitative Reverse-Transcription Polymerase Chain Reaction (RT-qPCR) Validation

We randomly selected 11 DEGs for quantitative reverse-transcription polymerase chain reaction (RT-qPCR) validation to confirm the reliability and accuracy of the RNA-seq method. Quantification was performed with a two-step reaction process: reverse transcription (RT) and PCR. Each RT reaction had two steps. In the first step, 0.5 µg RNA and 2 µL of 4× gDNA wiper Mix were added to nuclease-free H2O, to a final volume of to 8 µL. Reactions were performed in a GeneAmp® PCR System 9700 (Applied Biosystems, Foster city, CA, USA) for 2 min at 42 °C. In the second step, 2 µL of 5× HiScript II Q RT SuperMix Iia was added to the solution from the first step. Reactions were performed in a GeneAmp® PCR System 9700 (Applied Biosystems, Foster city, CA, USA) for 10 min at 25 °C; 30 min at 50 °C, and 5 min at 85 °C. The 10 µL RT reaction mix was then diluted ten times in nuclease-free water and held at −20 °C. Real-time PCR was performed using a LightCycler® 480 II Real-time PCR Instrument (Roche, Basel, Switzerland) with 10 µL PCR mixture that included 1 µL of cDNA, 5 µL of 2× QuantiFast® SYBR® Green PCR Master Mix (QIAGEN, Hilden, Germany), 0.2 µL of forward primer, 0.2 µL of reverse primer, and 3.6 µL of nuclease-free water. Reactions were incubated in a 384-well optical plate (Roche, Basel, Switzerland) at 95 °C for 5 min, followed by 40 cycles of 95 °C for 10 s, and 60 °C for 30 s. Each sample was run in triplicate for analysis. At the end of the PCR cycles, melting curve analysis was performed to validate the specific generation of the expected PCR product. The specific primers used in these experiments are listed in Table 1. The expression levels of mRNAs were normalized to Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and were calculated using the 2−ΔΔCt method [23].

3. Results

3.1. RNA-Seq and Mapping

After sequencing using Illumina HiseqTM2000, 20 GB of raw reads were generated per sample library. A total of 400 GB raw reads were obtained from 20 libraries. After removal of low-quality reads (reads containing only adapters and empty reads), 753, 355, 598, and 757, 858, 666 clean reads were obtained for Yunnan humped cattle liver and spleen, respectively, and 750, 519, 172 and 775, 726, 926 clean reads were obtained for Holstein cattle liver and spleen, respectively. The Q30 scores of clean bases were more than 88.87% for all twenty tissue samples, implying the high quality of our sequencing data. We next aligned the clean reads onto the Bos taurus reference genome, and the mapping ratio ranged from 94.98% to 97.54%. Detailed information of RNA-seq and mapping for every sample is listed in Table 2. All samples were distributed into two groups (spleen and liver samples of both Holstein and Yunnan humped cattle) to identity the DEGs.

3.2. Identification of Differentially Expressed Genes

In this study, genes with FDR < 0.05, p < 0.05, and |log2 (FoldChange)| > 2 were considered as DEGs. Overall, a total of 1564 DEGs were identified in the liver group, with 647 up-regulated and 917 down-regulated genes (Figure 1A). In the spleen group, 1530 DEGs were detected, including 716 up-regulated and 814 down-regulated genes (Figure 1B). We analyzed the expression values of the DEGs in each sample by hierarchical clustering method. The dendrogram of clustering analysis showed that the DEGs of the two groups could separate the Yunnan humped cattle samples from the Holstein cattle completely (Figure 2A,B), implying that the expression differences of the DEGs in the two groups were significant.

3.3. Function Enrichment Analysis for DEGs

To investigate the functional association of the DEGs, GO and KEGG, enrichment analyses were performed using the database for annotation, visualization and integrated discovery (DAVID). In the liver group, 146 GO terms were significantly (p < 0.05) annotated within three major function groups: biological process (BP, 100), cellular component (CC, 12), and molecular function (MF, 34). The GO terms with p-values less than 0.01 are shown in Figure 3. The most significant GO categories observed were phosphoric ester hydrolase activity, major histocompatibility complex (MHC) class I protein complex, and metal ion binding. A total of 135 GO terms were significantly enriched in the spleen group, including 85 BP, 10 CC, and 40 MF (Figure 4), and the most significant GO categories observed were the MHC class I protein complex, which regulates cytokine production, immune responses, and activation of immune responses.
Based on KEGG pathway enrichment analysis, 11 and 15 KEGG pathways were significantly (p < 0.05) enriched in the liver and spleen groups, respectively. The top five pathways with the most representation of DEGs were metabolic pathways (126 DEGs), HTLV-I infection (28 DEGs), AMPK signaling pathways (15 DEGs), chemical carcinogenesis (12 DEGs), and complement and coagulation cascades (12 DEGs) in the liver group (Table 3), while metabolic pathways (113 DEGs), endocytosis (31 DEGs), the Rap1 signaling pathway (25 DEGs), phagosome (22 DEGs), and tuberculosis (21 DEGs) had the most representation in the spleen group (Table 4). Through GO and KEGG enrichment analysis, 12 and 8 immunity- and disease-related genes were identified in liver and spleen tissue in Holstein and Yunnan humped cattle (Table 5).

3.4. Validation Analysis Using RT-qPCR

Eleven significant DEGs, identified from the RNA-seq data, were randomly selected for RT-qPCR validation, including six genes in the liver group (RDH5, ST6GAL1, MASP2, C4BPB, PON3, and MTHFS) and five genes in the spleen group (DEFB4A, HBA, ORM1, PENK, and PRSS2). The RT-qPCR confirmed that the DEGs had the same pattern of expression as observed with the RNA-seq (Figure 5A,B). Therefore, gene expression observed in the liver and spleen transcriptomes of Holstein and Yunnan humped cattle was highly credible.

4. Discussion

In RNA-seq, RNA information of biological samples was generated from cDNA sequences using high-throughput sequencing technologies [24,25]. As an advanced technique, RNA-seq is widely applied to study the DEGs of organisms [26,27,28]. Marioni et al. (2008) demonstrated that RNA-seq and RT-qPCR have a high correlation, and that the Pearson correlation could reach 0.929 [29], which means RNA-seq is accurate and reproducible. Therefore, the objective of this study was to investigate DEGs in liver and spleen tissues between Holstein and Yunnan humped cattle, using comparative transcriptome analysis and screening of candidate genes related to immune function and disease.
As the largest lymph-producing organ in the body, the liver plays an important role in the metabolism and immune system [30,31] and is associated with many diseases [17]. In total, 1564 DEGs (p < 0.05) were detected in the liver tissue. GO and KEGG analysis showed that some of them were related to disease, immune function and metabolism. In the KEGG enrichment analysis, we found 12 genes that were enriched in the complement and coagulation cascades pathway, which is a proteolytic cascade in blood plasma and a mediator of innate immunity. The gene C1QB produced immune reactions through a series of complement cascades. Previous studies show that a C1Q deficiency could lead to lupus erythematosus and glomerulonephritis [32,33]. CD46 and CD55 were associated with complement and coagulation regulatory transgenes [34]. CD46 encodes a type I membrane protein and plays a major role in complement activation. Previous studies have reported its association with several autoimmune diseases [35]. CD55 encodes a glycoprotein involved in the regulation of the complement cascade, prevention of damage to host cells, and is associated with the progression of various cancers. Previous studies show that the expression level of the CD55 gene is greater in individuals with gastric, colon, and breast cancer, than in non-cancerous tissues [36,37,38], and the expression was higher in Yunnan humped cattle compared to Holstein cattle. This implies that Holstein cattle might have strong resistance to gastric, colon, and breast cancer. C2 mainly participates in apoptotic cell clearance, and its sequence variation can also be associated with lupus erythematosus [39]. MASP2 encodes a member of the peptidase S1 family of serine proteases. Kasanmoentalib et al., (2017) proved that wild-type mice have higher cytokine levels and a greater survival rate than MASP2-deficient mice with pneumococcal meningitis [40]. Its expression was higher in Yunnan humped cattle compared to Holstein cattle, which implies that Yunnan humped cattle are generally not susceptible to pneumococcal meningitis. F2 plays a role in maintaining vascular integrity during development and postnatal life. SERPING1 is involved in the regulation of the complement cascade, and its sequence variation mainly causes hereditary angioedema [41]. SERPINE1 is related to breast cancer, and the expression of this gene is significantly elevated in breast cancer tissues [42]; the results of the present study showed that its expression level was higher in Holstein cattle compared to Yunnan humped cattle. The genes of C4BPA and C4BPB are the binding proteins of the complement, and participate in the activation of the complement cascade [33]. Related pathways are immune response lectin-induced complement pathways and Creation of C4 and C2 activators.
The spleen is the largest lymphatic organ in the body, plays a critical role in the immune system [43], and contains many immune cells, including B cells, T cells, natural killer (NK) cells, and macrophages [16]. In the spleen tissues, 1530 DEGs were detected from which 135 GO terms and 15 KEGG pathways were annotated by GO and KEGG pathway enrichment analysis, respectively. Moreover, there were 19 biological process terms with p-values < 0.01, of which 11 were related to immune functions and 9 KEGG pathways were associated with disease and immune response, implying that Holstein and Yunnan humped cattle differed significantly in terms of disease resistance and immune systems.
Furthermore, a total of 157 DEGs participated in the immune-related biological processes and pathways. There were 9 DEGs that participated in more than five biological processes at the same time. MAVS encode an intermediary protein necessary in the virus-triggered beta interferon signaling pathway, and suppression of this gene can exacerbate the viral replication and killing of the host cells [44]. Its expression level was higher in Yunnan humped cattle compared to Holstein cattle. NLRX1 is a member of the NLR family, and the protein of this gene is a regulator of mitochondrial antivirus responses. Its expression level is low in acute myocardial ischemia tissues [45]. ANKRD17, which is up-regulated in Yunnan humped cattle [46], plays a role in DNA replication and in both innate anti-viral and anti-bacterial immune pathways [47]. High-level expression of this gene can promote RIG-I-like (RLR) signaling in response to influenza and Sendai virus RNA, and was up-regulated in Yunnan humped cattle. NOD2 is an intracellular pattern-recognition receptor and plays an important role in the immune system [48]. TIRAP is an adapter molecule associated with toll-like receptors and plays a crucial role in the TLR4 signaling pathway of the immune system [49]. TLR2 and TLR6 are toll-like receptor genes and played a central role in the immune system, as also indicated in a previous study [50]. Among those genes, MAVS, NLRX1, ANKRD17, NOD2, and CD46 were up-regulated in Yunnan humped cattle, while TIRAP, TLR2, and TLR6 were down-regulated. Our results show that the disease resistance differences between Holstein and Yunnan humped cattle might be caused by the DEGs, and those DEGs are critical candidate genes involved with disease resistance in cattle breeds.
The present study provides a non-invasive method to identify the DEGs in liver and spleen between Holstein and Yunnan humped cattle using RNA-seq. In total, 1564 and 1530 DEGs were detected in the two comparison groups (liver and spleen tissues). GO and KEGG enrichment analysis showed that immunological pathways and disease pathways were present in both groups. These results provide valuable resources for biological research in breeding of domestic cattle. Our results contribute to the understanding of the mechanisms in the spleen and liver that strengthen the disease resistance of animals. In addition, our results provide fundamental information on the studies of the immunity base of Holstein and Yunnan humped cattle that could support the future development of selective breeding techniques.

Author Contributions

Conceptualization, S.C., H.X. and P.S.; methodology, S.C. and Y.C.; project administration, S.C.; software, Y.C. and B.Z.; validation, Y.C.; investigation, S.C., B.Z. and Y.C.; resources, S.C., B.Z. and Y.C.; data curation, S.C. and Y.C.; writing–original draft preparation, Y.C.; writing–review and editing, S.C.; supervision, S.C., H.X. and P.S.

Acknowledgments

This research was funded by the National Natural Science Foundation of China (31460281) and the Hundred Overseas Talents Recruitment Program of Yunnan Province.

Conflicts of Interest

The authors declare that they have no conflict of interests.

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Figure 1. Volcano plot displaying the differentially expressed genes in the livers (A) and spleens (B) of Holstein and Yunnan humped cattle. The y-axis corresponds to the mean expression value of −log10 (p-value), and the x-axis displays the log2 fold-change value. The red and green dots circled in the frame represent the significant DEGs (p < 0.05) between Holstein and Yunnan humped cattle; the blue and grey dots represent the transcripts whose expression levels did not reach statistical significance between Holstein and Yunnan humped cattle.
Figure 1. Volcano plot displaying the differentially expressed genes in the livers (A) and spleens (B) of Holstein and Yunnan humped cattle. The y-axis corresponds to the mean expression value of −log10 (p-value), and the x-axis displays the log2 fold-change value. The red and green dots circled in the frame represent the significant DEGs (p < 0.05) between Holstein and Yunnan humped cattle; the blue and grey dots represent the transcripts whose expression levels did not reach statistical significance between Holstein and Yunnan humped cattle.
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Figure 2. Hierarchical clustering analysis of the expression level of the DEGs in the livers (A) and spleens (B) of Holstein and Yunnan humped cattle. Red and blue indicate higher and lower expression values, respectively.
Figure 2. Hierarchical clustering analysis of the expression level of the DEGs in the livers (A) and spleens (B) of Holstein and Yunnan humped cattle. Red and blue indicate higher and lower expression values, respectively.
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Figure 3. Gene Ontology (GO) enrichment analysis of the DEGs in the livers of Holstein and Yunnan humped cattle. The GO terms belonging to biological processes (BP), cellular components (CC) and molecular functions (MF) are shown in blue, red, and green, respectively. The significance levels are p < 0.01.
Figure 3. Gene Ontology (GO) enrichment analysis of the DEGs in the livers of Holstein and Yunnan humped cattle. The GO terms belonging to biological processes (BP), cellular components (CC) and molecular functions (MF) are shown in blue, red, and green, respectively. The significance levels are p < 0.01.
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Figure 4. GO enrichment analysis of the DEGs in the spleens of Holstein and Yunnan humped cattle. The GO terms belonging to biological processes (BP), cellular components (CC) and molecular functions (MF) are shown in blue, red, and green, respectively. The significance levels are p < 0.01.
Figure 4. GO enrichment analysis of the DEGs in the spleens of Holstein and Yunnan humped cattle. The GO terms belonging to biological processes (BP), cellular components (CC) and molecular functions (MF) are shown in blue, red, and green, respectively. The significance levels are p < 0.01.
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Figure 5. Quantitative reverse-transcription polymerase chain reaction (RT-qPCR) analysis of differentially expressed genes in the livers (A) and spleens (B) of Holstein and Yunnan humped cattle. Significance levels: * p-value < 0.05, ** p-value < 0.01.
Figure 5. Quantitative reverse-transcription polymerase chain reaction (RT-qPCR) analysis of differentially expressed genes in the livers (A) and spleens (B) of Holstein and Yunnan humped cattle. Significance levels: * p-value < 0.05, ** p-value < 0.01.
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Table
Table 1. Primer sequences of the differentially expressed genes (DEGs) for real-time polymerase chain reaction (PCR) analysis.
Table 1. Primer sequences of the differentially expressed genes (DEGs) for real-time polymerase chain reaction (PCR) analysis.
GeneForward Primer (5′→3′)Reverse Primer (5′→3′)Product Length (bp)
PON3TGCCACCAGAGACCACTAAGAAGAGCACCTGAGTCC86
TIMELESSAGAGGATGATGATGAGAGCGACGGATTCAAATTCACCACCTA81
RDH5GGTACGGGTCTCTATCGTGCCAAAGTTTCCAGGTTTGTC65
ST6GAL1TTCAAGAAATCTCCTCGGAGCTTGGATGGGAGGAACTCGTA118
MASP2GCTCCAGCCTGGATGTCATGCAGAGTAGAAGGCCTCA80
C4BPBTATTGTGGGCCACTGTCCATTCACATTCACAGGCTCC73
DEFB4ACATGCTGCAGGAGGTAGTAACAGTTTCTGACTCCGCATT65
HBAGACCAAAGCGGTGGAACAAGGTCACTCAGTTCAGACAG60
ORM1ATGTCATCAAGTGCATAGGCATCCTTCTTCTCGTCAGTGT62
PENKATGAGAAGAGTGGGTCGTGCTTGAGGAAGCCACCGTA67
PRSS2TCCAGGGCATTGTGTCTTTCCTGAATCCAGTCCACG94
GAPDHCACCCTCAAGATTGTCAGCAGGTCATAAGTCCCTCCACGA103
Table
Table 2. Statistics and mapping results of RNA-seq data.
Table 2. Statistics and mapping results of RNA-seq data.
SampleRaw ReadsTotal ReadsTotal MappedMultiple MappedUniquely Mapped
LNBIL15151,610,288146,798,108141,959,097 (96.70%)11,387,576 (7.76%)130,571,521 (88.95%)
LNBIL23158,426,510149,138,882143,215,256 (96.03%)11,038,440 (7.40%)132,176,816 (88.63%)
LNBIL33158,008,850148,991,036143,216,931 (96.12%)10,108,526 (6.78%)133,108,405 (89.34%)
LNBIL48158,698,260149,549,442143,742,832 (96.12%)10,320,099 (6.90%)133,422,733 (89.22%)
LNBIL52168,246,008158,878,130152,686,465 (96.10%)11,676,419 (7.35%)141,010,046 (88.75%)
LNBIS15151,867,606146,831,026138,375,611 (94.24%)9,902,596 (6.74%)128,473,015 (87.50%)
LNBIS23154,069,138149,005,788141,309,652 (94.84%)9,514,847 (6.39%)131,794,805 (88.45%)
LNBIS33157,622,632148,145,826139,711,950 (94.31%)8,507,598 (5.74%)131,204,352 (88.56%)
LNBIS48157,185,058148,828,996140,530,424 (94.42%)9,373,622 (6.30%)131,156,802 (88.13%)
LNBIS52175,323,500165,047,030152,074,621 (92.14%)10,333,303 (6.26%)141,741,318 (85.88%)
PNBTL13158,211,656149,867,928145,298,732 (96.95%)9,247,889 (6.17%)136,050,843 (90.78%)
PNBTL24158,210,184150,330,960145,905,391 (97.06%)10,646,629 (7.08%)135,258,762 (89.97%)
PNBTL37160,387,868155,323,182151,501,438 (97.54%)10,344,558 (6.66%)141,156,880 (90.88%)
PNBTL47153,100,356148,219,400144,578,196 (97.54%)11,445,184 (7.72%)133,133,012 (89.82%)
PNBTL57151,520,072146,777,702142,946,257 (97.39%)9,632,568 (6.56%)133,313,689 (90.83%)
PNBTS13179,001,604170,245,090161,695,701 (94.98%)13,838,064 (8.13%)147,857,637 (86.85%)
PNBTS24158,417,034150,073,450143,034,331 (95.31%)11,076,554 (7.38%)131,957,777 (87.93%)
PNBTS37158,604,840150,948,876144,191,794 (95.52%)6,735,375 (4.46%)137,456,419 (91.06%)
PNBTS47152,406,952148,084,368141,738,020 (95.71%)11,052,917 (7.46%)130,685,103 (88.25%)
PNBTS57160,635,684156,375,142150,989,616 (96.56%)12,356,517 (7.90%)138,633,099 (88.65%)
LNBIL, Yunnan humped cattle liver; LNBIS, Yunnan humped cattle spleen; PNBTL, Holstein cattle liver; PNBTS, Holstein cattle spleen.
Table
Table 3. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of the DEGs in the livers of Holstein and Yunnan humped cattle.
Table 3. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of the DEGs in the livers of Holstein and Yunnan humped cattle.
Pathway IDPathway DescriptionNumber of DEGsp-Value
bta01100Metabolic pathways1260.0001
bta02010ATP-binding cassette (ABC) transporters90.0080
bta05204Chemical carcinogenesis120.0092
bta04610Complement and coagulation cascades120.0138
bta00051Fructose and mannose metabolism70.0192
bta00590Arachidonic acid metabolism110.0310
bta05166HTLV-I infection280.0383
bta04152AMPK signalling pathway150.0419
bta00830Retinol metabolism90.0448
bta04976Bile secretion100.0478
bta00982Drug metabolism—cytochrome P45090.0490
Table
Table 4. KEGG pathway analysis of the DEGs in the spleens of Holstein and Yunnan humped cattle.
Table 4. KEGG pathway analysis of the DEGs in the spleens of Holstein and Yunnan humped cattle.
Pathway IDPathway DescriptionNumber of DEGsp-Value
bta04145Phagosome220.00600
bta01100Metabolic pathways1130.00690
bta04144Endocytosis310.00750
bta04530Tight junction190.0098
bta04071Sphingolipid signalling pathway170.0126
bta04380Osteoclast differentiation180.0165
bta04015Rap1 signalling pathway250.0211
bta04514Cell adhesion molecules (CAMs)190.0295
bta04340Hedgehog signalling pathway60.0312
bta05152Tuberculosis210.0382
bta04974Protein digestion and absorption120.0394
bta04610Complement and coagulation cascades110.0400
bta05323Rheumatoid arthritis130.0411
bta04666Fc gamma R-mediated phagocytosis120.0424
bta05162Measles140.0460
Table
Table 5. The DEGs related to immunity and diseases in liver and spleen tissue of Holstein and Yunnan humped cattle.
Table 5. The DEGs related to immunity and diseases in liver and spleen tissue of Holstein and Yunnan humped cattle.
TissueGeneDescriptionExpression Up_Downp-Value
LiverTLR3Toll Like Receptor 3Up0.0107
TLR7Toll Like Receptor 7Up0.0326
C1QBComplement C1q B ChainUp0.0031
CD46CD46 MoleculeUp0.0001
CD55CD55 MoleculeUp0.0003
C2Complement C2Down0.0025
MASP2Mannan Binding Lectin Serine Peptidase 2Up0.0000
F2Coagulation Factor II, ThrombinUp0.0000
SERPING1Serpin Family G Member 1Down0.0003
SERPINE1Serpin Family E Member 1Down0.0005
C4BPAComplement Component 4 Binding Protein AlphaUp0.0025
C4BPBComplement Component 4 Binding Protein BetaUp0.0000
SpleenMAVSMitochondrial Antiviral Signaling ProteinUp0.0128
NLRX1Nucleotide binding domain and leucine-rich repeat-containing (NLR) Family Member X1Down0.0003
ANKRD17Ankyrin Repeat Domain 17Up0.0371
NOD2Nucleotide Binding Oligomerization Domain Containing 2Up0.0256
TLR2Toll Like Receptor 2Down0.0000
TLR6Toll Like Receptor 6Down0.0003
CD46CD46 MoleculeUp0.0031
TIRAPTIR Domain Containing Adaptor ProteinDown0.0242

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Chen, Y.; Zeng, B.; Shi, P.; Xiao, H.; Chen, S. Comparative Analysis of the Liver and Spleen Transcriptomes between Holstein and Yunnan Humped Cattle. Animals 2019, 9, 527. https://doi.org/10.3390/ani9080527

AMA Style

Chen Y, Zeng B, Shi P, Xiao H, Chen S. Comparative Analysis of the Liver and Spleen Transcriptomes between Holstein and Yunnan Humped Cattle. Animals. 2019; 9(8):527. https://doi.org/10.3390/ani9080527

Chicago/Turabian Style

Chen, Yanyan, Benjuan Zeng, Peng Shi, Heng Xiao, and Shanyuan Chen. 2019. "Comparative Analysis of the Liver and Spleen Transcriptomes between Holstein and Yunnan Humped Cattle" Animals 9, no. 8: 527. https://doi.org/10.3390/ani9080527

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