Literature DB >> 30134528

Copy Number Variations of KLF6 Modulate Gene Transcription and Growth Traits in Chinese Datong Yak (Bos Grunniens).

Habtamu Abera Goshu1,2, Xiaoyun Wu3, Min Chu4, Pengjia Bao5, Xuezhi Ding6, Ping Yan7.   

Abstract

Copy number variation (CNV) is a significant marker of the genetic and phenotypic diversity among individuals that accounts for complex quantitative traits of phenotype and diseases via modulating gene dosage and disrupting coding regions in the genome. Biochemically, Kruppel-like factor 6 (KLF6) genes plays a significant role in the regulation of cell differentiation and proliferation and muscle development. The aim of this study was to detect the distributions of KLF6 copy number variations (CNVs) in five breeds of domestic yak and to explore their effect on growth traits and gene expression. The data were analyzed by real-time quantitative PCR (qPCR). Our results elucidated that a decreased CNV in the KLF6 gene is more highly associated (p < 0.05) with various growth traits than increased or normal CNVs in six-month-old and five-year-old Datong yak. Nevertheless, negative correlations between the DNA copy number and KLF6 gene expression were observed in the skeletal muscle of adult Datong yak. These results suggest that CNVs of the KLF6 gene could be crucial genomic markers for growth phenotypes of Chinese Datong yak breeds and this finding constitutes the first evidence of the biological role of KLF6 CNVs in Chinese Datong yak breeds.

Entities:  

Keywords:  association; gene expression; quantitative traits; transcription; yak population

Year:  2018        PMID: 30134528      PMCID: PMC6162419          DOI: 10.3390/ani8090145

Source DB:  PubMed          Journal:  Animals (Basel)        ISSN: 2076-2615            Impact factor:   2.752


1. Introduction

The utilization of genomic selection in yak breeding has sped up the rate of genetic gain. Genomic divergence can be observed in several forms, including single nucleotide polymorphisms (SNPs), variable numbers of tandem repeats, transposable elements and structural variations such as deletions, duplications and inversions. Until recently, SNPs were considered the major form of genomic variation, accounting for much of the normal phenotypic variation that is observed. Notably, copy number variations (CNVs) encompass higher nucleotide content within the genome than SNPs and thus represent novel markers for the assessment of genetic diversity and evolution [1]. The use of advanced genomic technologies for CNV detection, which range from microarrays to the more recently development next-generation sequencing approach, is significantly contributing to the elucidation of genetic and phenotypic variation in domestic animals [2,3,4,5,6,7,8,9]. Diverse genomic characteristics can control quantitative traits through variations in gene expression levels [10], ultimately contributing to inter-individual phenotypic variability. Genomic copy number variations stretching from 1 kb to several Mb contain gains (duplication) or losses (deletions or null genotypes) compared with the designated reference genome sequence [11]. CNVs can affect gene expression and influence both phenotypic variability and evolutionary adaptation due to the wide range of copy numbers of a specific sequence within the genome [1,12,13] obtained by altering the gene dosage, transcript structure and regulatory polymorphisms [14,15]. Several recent studies have shown that CNVs comprise approximately 4.6% of the entire bovine genome [5,6,16,17]. The association of CNVs with phenotypic traits was recently utilized for the determination of feed conversion ratios in beef cattle [18], milk somatic cell scores in Holstein cattle [2,3,19] and quantitative traits in a Brown Swiss population [10]. A further study using qPCR in Chinese cattle revealed that CNVs in the genes MICAL-like 2 (MICAL-L2) [20], leptin receptor (LEPR) [21], myosin heavy chain 3 (MYH3) [22], potassium voltage-gated channel subfamily J member 12 (KCNJ12) [23] mitogen-activated protein kinase 10 (MAPK10) [24], phospholipase A2 group IID (PLA2G2D) [25] and cytochrome P450 family 4 subfamily A member 11 (CYP4A11) [26] are associated with gene expression and growth traits. On the other hand, Zhang et al. [13] 29] demonstrated associations for CNVs with genetic diversity between individuals [27] and susceptibility to a complex human disease [28]. The yak (Bos grunniens) is bred for survival in the extremely harsh environment of the Qinghai-Tibetan Plateau and adjacent alpine regions [29] and significantly impacts sociocultural factors and daily life by providing milk, meat, transportation (as the “boat of the plateau”), hair, draught power and fuel for Tibetans and nomads [30,31]. Yak breeds survive in the natural highland environment, which harbors native species and natural resources and graze on pasture to produce organic food (organic animal husbandry) [32,33]. Using next-generation sequencing (NGS) with read-depth methods, a recent study suggested that CNVs in Kruppel-like factor 6 (KLF6) are related to yak meat production and quality, which are economically significant traits that have been extensively considered for artificial selection in yak breeding programs [9]. KLF6 belongs to the Kruppel-like family and is a ubiquitously expressed zinc finger transcription factor [34] that is primarily involved in cell proliferation, differentiation, development [35,36] and growth-related signal transduction [37]. Andreoli et al. [38] found that KLF6 affects the postnatal mass and development of skeletal muscle [39,40] by regulating genes involved in the transforming growth factor beta 1 (TGFB1) signaling pathway [41]. Thus, Zhang et al. [9] postulated that KLF6 CNVs might influence muscle development and thus the phenotypic traits of yak breeds through gene regulation and dosages. Further work is required to attain a more complete understanding and validate the importance of the detected CNVs of the KLF6 gene found in yak breeds. However, the importance of the KLF6 gene in relation to growth traits of Chinese domestic yak breeds has not been previously investigated. As a result, this research aimed to assess the prevalence of KLF6 CNVs in five Chinese domestic yak breeds and to determine their association with growth and gene expression levels. Therefore, this study was hypothesized that the copy numbers types of the KLF6 gene was negatively or positively associated with DNA copy number and the transcriptional level of the KLF6 gene. The results suggest that CNVs of the KLF6 gene could be crucial genomic markers for growth phenotypes of Chinese Datong yak breeds and this finding constitutes the first evidence of the biological role of KLF6 CNVs in Chinese Datong yak breeds and indicates the novel possibility of using CNVs in the design of molecular markers for selective animal breeding programs, which will be necessary for the analysis of a larger variety of yak breeds in the future.

2. Materials and Methods

The study was conducted between September 2016 and December 2017 at the Key Laboratory of Yak Breeding Engineering of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences and the data were obtained from yak breeding cooperatives of Gansu and Qinghai Province, China. All blood sample collection and body measurements were performed in strict accordance with the guide for the Care and Use of Laboratory Animals, Lanzhou Institute of Husbandry Animal and Pharmaceutical Sciences, China. Additionally, all the animals were slaughtered under anesthesia and all necessary efforts were made to minimize the risk of suffering. Thus, we were granted permission to perform this research study on yak and the legal certificate number was SCXK (Gan) 2014-0002.

2.1. Study Areas and Quantitative Traits

Chinese domestic yak breeds are currently maintained for the production of meat and milk and for genetic conservation. Therefore, the following five representative Chinese domestic yak breeds were selected: Polled (Datong Yak Farm, 101°70′E, 32°N, altitude 3200 m, Qinghai Province, China), Tianzhu white (102°02′–103°29′E; 36°29′–37°41′N, altitude 3000 m, Gansu Province, Tianzhu Tibetan Autonomous County, China), Plateau (35°34′11″N, 100°46′45″E, altitude 3700–4700 m, northern and southern Qinghai Province, China), Datong (Datong Yak Farm, 101°70′E, 32°N, altitude 3200 m, Qinghai Province, China) and Gannan (100°46′–104°45′E, 33°06′–35°43′N, altitude 3300–4400 m, Gansu Province, bordering Sichuan and Qinghai, China). The animals were healthy and assumed to not have any genetic relationships. All yaks were allowed to graze on natural pasture without any feeding supplementation under similar feeding and management conditions. The phenotypic data of the 387 individual Datong yaks (i.e., body weight, body height, body length, chest girth and cannon width) were collected at three stages of growth (i.e., 6 months (n = 222), 3 years (n = 72) and 5 years (n = 93) old) for association studies. The body measurements were collected following the guidelines described by Gilbert et al. [42].

2.2. Sample Collection, Deoxyribonucleic Acid (DNA) and Ribonucleic Acid (RNA) Isolation and cDNA Synthesis

Fresh blood samples were collected from the jugular vein of 507 yaks (387 Datong yaks, 30 Polled yaks, 30 Tianzhu yaks, 30 Gannan yaks and 30 Plateau yaks) into vacuum tubes (5 mL). For total RNA extraction, tissue samples containing lung, brain, spleen, skeletal muscle, heart, liver, kidney and adipose fat (except fetal adipose fat) were obtained from three 90-day-old fetuses (embryo) and three 3-year-old (adult) Datong yaks. In addition, 41 (n = 41) skeletal muscle samples from different adult Datong yaks were collected for both total RNA and genomic DNA studies. After collection, these blood and tissues samples were stored at −80°C for DNA and RNA isolation. Genomic DNA (gDNA) from blood samples was purified using a Clot Blood DNA kit (CWBIO, Beijing, China) and genomic DNA longer than 10 kb was obtained using a E.Z.N.A. MicroElute DNA Clean-Up kit (Omega Bio-tek, Norwalk, GA, USA) following the manufacturer’s instructions. gDNA from skeletal muscles was extracted with a DNeasy® Blood and Tissue kit (Qiagen®) following the manufacturer’s recommended standard procedure. Total RNA from the tissues was also isolated using a TRIzol reagent (TriPure Isolation Reagent, Roche, Carlsbad, CA, USA) and an RNeasy® Blood and Tissue kit (Qiagen®), according to the manufacturers’ instructions. The concentration and quality of RNA and DNA were examined using a NanoDrop™ BioPhotometer 2000 (Thermo Fisher Scientific, Inc., Waltham, MA, USA) and through electrophoresis on ethidium bromide-stained 1% agarose gels. For the accurate analysis of gene expression, complementary DNA (cDNA) was synthesized without contamination from genomic DNA by designing primers corresponding to exon regions spanning introns. In addition, cDNA was produced by reverse transcription from 1 μg of RNA using a PrimeScriptTM RT reagent kit with gDNA Eraser (Perfect Real Time) (TaKaRa Bio Inc., Shiga, Japan).

2.3. Primer Design and PCR Amplification

Primers were designed for the analysis of CNVs and gene expression using the National center for Biotechnology information (NCBI) primer-BLAST web tool (https://www.ncbi.nlm.nih.gov/tools/primer-blast/index.cgi?LINK_LOC=blastHome) [43] (Table 1). Polymerase chain reactions (PCRs) in a total volume of 25 μL, containing 50 ng gDNA or cDNA, 2X GoTaq® Green Master Mix, 10 μM primers and nuclease-free water (ddH2O), were used to validate the amplification primers (Promega, Madison, WI, USA). The thermal cycling conditions were as follows: 95 °C for 2 min as the initial denaturation step followed by 35 cycles of denaturation at 95 °C for 1 min, annealing at 55–60 °C for 1 min and extension at 72 °C for 1 min, a final extension at 72 °C for 5 min and holding at 4 °C. The PCR products were loaded directly into 1% agarose gels or non-denaturing TBE polyacrylamide gels. The amplification primers were also checked by analysis of the melting curves obtained during the qPCR assay.
Table 1

qPCR primers designed based on bovine genomic sequences.

LevelAccession No.Gene NamePrimer Sequence (5′–>3′)Product Length (bp)Annealing Temperature (°C)
DNAXM_005901807.2 KLF6 F: ATGCTCATGGGAAGGGTGTG8257.45
R: CTTGGCACCAGTGTGCTTTC57.45
NM_001034034.2 BTF3 F: AACCAGGAGAAACTCGCCAA16655.40
R: TTCGGTGAAATGCCCTCTCG57.45
mRNANM_001035271.3 KLF6 F: GTGACAGGTGTTTCTCCAGG9157.45
R: TTTTAGCCCGCAGGAGTTGT55.40
NM_001034034.2 GAPDH F: AATGAAAGGGCCATCACCATC20455.85
R: GTGGTTCACGCCCATCACA60.00

2.4. Analysis of Copy Number Variation and Expression of the KLF6 Gene

The primers designed for the analyses of copy number variation and gene expression are listed in Table 1. The relative CNVs and expression levels of the bovine KLF6 gene were investigated in this study by qPCR. Bovine basic transcription factor 3 (BTF3) was used as a normal (two-copy or diploid) internal reference gene for genomic qPCR because neither CNVs nor segmental duplication have been described for this gene in the Database of Genomic Variants (https://www.ncbi.nlm.nih.gov/dbvar) [44]. Bovine glyceraldehyde-3-phosphate dehydrogenase (GAPDH) was selected as the reference gene in the gene expression analysis due to its ubiquitous expression in most tissues and cells [45]. Gene expression levels were evaluated by genomic qPCR using the Bio-Rad CFX 96™ Real-Time Detection System (Bio-Rad, Hercules, CA, USA). The qPCR was performed using SYBR® Premix Ex TaqTM II (Tli RNase H Plus, Nojihigashi 7-4-38, Kusatsu, Shiga 525-0058, Japan) in a 25-μL total reaction mixture containing 50 ng of gDNA or cDNA, 12.5 μL of SYBR Premix Ex Taq II (2X) and 10 pmoL of primers (TaKaRa Bio, Inc., Shiga, Japan). The thermal cycling conditions were as follows: one cycle of 95 °C for 1 min followed by 39 cycles of denaturation at 95 °C for 10 s, annealing at 60 °C for 30 s and extension at 68 °C for 10 s. During the qPCR thermal cycling, the primers were also examined by melting curve (dissociation) steps and using no-template control (negative control) reactions. The experiments were repeated three times and the mean values and standard deviations from the data were used for the statistical analyses.

2.5. Statistical Analysis

The threshold cycle (ΔΔCt) values were used to determine relative copy numbers [46]. Specifically, a DNA copy number was calculated using the average threshold cycle (ΔCt) from the three replicates and normalized against the reference gene BTF3 using the formula 2 × 2−ΔΔCt [47], where a copy number of two (diploid) is the normal DNA copy number [46]. The Ct values were converted to the nearest integer as described previously [20,21,22,23,24]. The quantitative mRNA expression levels of the target gene were determined using the threshold cycle 2−ΔΔCt method [48]. The association between CNVs in the KLF6 gene and growth traits in the Datong yak breed was assessed by one-way analysis of variance (ANOVA) using SPSS software (IBM SPSS 20, Hausmalt, CH, Switzerland). In the biostatistical model, various types of CNVs were classified as loss (copy number of 0 or 1), gain (copy number > 2) and normal (copy number of 2) relative to the reference gene BTF3, as described elsewhere [20,21,22,23,24]. The growth traits were fitted using the following analytical models: Y = μ + G + D + ε, where Y = number of records of copy number types i at age j, μ = the overall mean, G = fixed effects of CNV type i (i = 1, 2, 3), D = fixed effect of age j (j = 1, 2, 3) and ε = residual error. Moreover, the Bonferroni correction, which presents a modified significance criterion (p/m, where m is the overall number of independent statistical tests conducted on the given data and p is the significance level of 0.05), was utilized to avoid type I errors derived from multiple comparisons [20]. The diversity between yak breeds was determined in relation to the control sample using the log2 ratio (log22−ΔΔCt) values and the types of CNVs were defined as gain (>0.5), loss (<−0.5) or normal (<|±0.5|) [20,21,22,23,24]. Pairwise comparisons and scatterplot analyses of the yak breeds were performed using GraphPad Prism software (version 5.00) and the values were obtained from the log2 ratio (log22−ΔΔCt). The pairwise comparisons between breeds were tested using Tukey’s multiple comparison tests. Pearson product-moment correlation was performed using R 2.15.0 software (WU Wien, Austria) to determine the relationship between the log2 ratio of the DNA copy number and the messenger RNA (mRNA) KLF6 expression levels [49]. According to Stranger et al. [50], the correlation generated using log2 ratio signals yielded strong r and p values; therefore, a correlation study was performed directly using data obtained from log2 ratios as described previously [24].

3. Results

3.1. Association of Gene CNVs with Growth Traits in Yak

We performed one-way analysis of variance (ANOVA) to determine the association between KLF6 CNVs and growth traits of the Datong yak breeds. In the statistical analysis, the KLF6 copy numbers were normalized against the reference gene BTF3 in the 387 individual of Datong yaks. As described in Table 2, the loss CNV type of the KLF6 gene was more highly correlated with growth traits, namely, body length (p = 0.0001), chest girth (p = 0.002) and body weight (p = 0.003), than the gain or normal types (p < 0.05) in five-year-old yak. In addition, the loss CNV type of the KLF6 gene was significantly (p < 0.05) associated with increased body weight, chest girth and body length in 6-month-old Datong yak compared with the gain type (Table 2). However, the effects of the CNV type of the KLF6 gene on growth traits were not significant in 3-year-old yak (Table 2).
Table 2

Analysis of the association between copy number variations (CNVs) in the KLF6 gene and growth traits in Datong yak breed.

AgeGrowth TraitCNV Type (Mean ± STD)p-Value
Loss (n = 70)Normal (n = 71)Gain (n = 81)
6 months (n = 222)Body height (cm)93.9 ± 2.4 a90.9 ± 3.6 b,c91.2 ± 4.3 b0.0001
Body length (cm)92.3 ± 1.8 a89.2 ± 3.8 b89.5 ± 4.3 b0.0001
Chest girth (cm)122.2 ± 4.8 a119.7 ± 6.8 b118.7 ± 6.0 b0.002
Cannon width (cm)12.0 ± 0.2412.1 ± 0.412.1 ± 0.320.100
Body weight (kg)93.9 ± 9.2 a89.2 ± 13 b87.6 ± 10.7 b0.002
3 years (n = 72) Loss (n = 25)Normal (n = 31)Gain (n = 16)
Body height (cm)104.0 ± 3.2104.4 ± 3.2104.4 ± 3.50.89
Body length (cm)114.0 ± 4.9110.4 ± 19.3114.1 ± 4.90.53
Chest girth (cm)147.2 ± 6.9148.8 ± 6.4147.2 ± 6.30.59
Cannon width (cm)16.4 ± 0.5116.5 ± 0.5116.5 ± 0.520.92
Body weight (kg)176.0 ± 20.6174.6 ± 36.4175.9 ± 17.70.98
5 years (n = 93) Loss (n = 4)Normal (n = 4)Gain (n = 85)
Body height (cm)111.8 ± 2.1112.0 ± 0.82109.3 ± 3.10.065
Body length (cm)133.0 ± 10 a124.9 ± 1.2 b123.4 ± 3.5 b0.0001
Chest girth (cm)166.8 ± 15.5 a157.0 ± 10 a,b155.3 ± 5.3 b0.002
Cannon width (cm)16.4 ± 2.216.5 ± 0.516.5 ± 0.90.43
Body weight (kg)257.4 ± 83.1 a220.2 ± 29.7 b211.3 ± 20.7 b0.003

Note: Different letters (a, b, c) indicate significant differences (p < 0.05); Standard deviation (STD).

3.2. Population Genetic Analyses of CNVs

As presented in Figure 1A, the CNVs of the KLF6 gene in Tianzhu, Gannan and Plateau yak individuals exhibited increased copy number loss and increased Datong yak individuals had normal copy numbers, whereas more Polled yak individuals possessed copy number gains. Across all the breeds, the overall frequencies of the KLF6 copy number (Figure 1B) classified as loss (copy number of 0 or 1), normal (copy number of 2) and gain (more than 2 copies) were 40%, 34% and 26%, respectively (Supplementary Table S1). Among these, 56.7% of Tianzhu yak, 56.7% of Plateau yak and 60% of Gannan yak showed only the loss CNV type, whereas 66.7% of Datong yak showed only normal copy numbers and 96.7% of Polled yak exhibited gains in copy numbers of the KLF6 gene (Supplementary Table S1). Highly significant differences were observed in pairwise comparisons of Polled compared with Tianzhu, Gannan, Datong and Plateau yak (p < 0.0001) and with non-significant differences were found between the Datong and Gannan yak breeds (p < 0.05); however, no significant differences were observed in the comparisons of Datong versus Plateau, Datong versus Tianzhu, Tianzhu versus Gannan, Tianzhu versus Plateau, or Gannan versus Plateau yak breeds (Supplementary Table S2).
Figure 1

Distributions of CNVs of the KLF6 gene in five yak breeds. (A) Scatterplot of CNV distributions of the KLF6 gene in five yak breeds (n = 30). (B) Relative frequency of copy numbers classified as the loss (0 and 1), normal (2) and gain (>2) types in five yak populations.

3.3. Analysis of the Expression Pattern of the KLF6 Gene in Different Tissues

The KLF6 gene plays a prominent role in the regulation of cell differentiation and proliferation and muscle development. Nevertheless, the expression and biological function of the KLF6 gene in yak have not been explored. Here, we elucidated the KLF6 gene expression patterns in seven different tissues from fetal Datong yak and in eight different tissues from adult Datong yak (Figure 2A–C). The results indicated that KLF6 showed differential expression between the two developmental ages and significantly (p < 0.05) higher expression of KLF6 was observed in the lung, muscle, kidney and spleen in fetal yak (Figure 2A). In addition, a moderate mRNA expression level was observed in the heart, brain and liver tissues. In adult yak, the highest expression level of KLF6 was detected in adipose, lung, muscle and spleen tissues, whereas moderate expression was observed in the brain and kidney and weakly expression was found in the liver and heart (Figure 2B). The comparison of the two developmental ages revealed significantly higher (p < 0.05) expression in the lung, muscle, kidney and spleen tissues of fetal yak (Figure 2C).
Figure 2

Expression profiles of the KLF6 gene in Datong yak at two ages. (A) Expression pattern of the KLF6 gene in fetal yak. (B) Expression pattern of the KLF6 gene in adult yak. (C) Comparison of KLF6 gene expression between the two ages. The error bars indicate the standard deviations (SDs). Different letters indicate significant differences (p < 0.05).

3.4. Correlation Analysis of CNVs and KLF6 mRNA Expression

Among 41 samples, the tested skeletal muscle was found to contain 14, 24 and 3 cases of the normal, gain and loss CNV types of the KLF6 gene. As shown in Figure 3A, among the individual tested yak muscles, the CNV types varied from 1 to 7 copies, whereas the expression of the gene varied from 0.2- to 1.6-fold (Figure 3B). A Pearson correlation analysis showed that the DNA copy numbers and mRNA levels of KLF6 were non-significantly (p = 0.08) and negatively (r = −0.28) correlated in adult skeletal muscle (Figure 3C). The comparison of CNV types and gene expression revealed that a normal copy number was more significantly (p < 0.05) associated with a higher mRNA expression level than the gain or loss types, whereas no difference was observed between the loss and gain CNV types (Figure 3D). These results underscored that the loss copy numbers of the KLF6 gene were predominant for growth traits and were correspondent with the negative association with between DNA copy number and the transcriptional level of the KLF6 gene (Figure 3C,D). These findings illustrated that the presence of at least two copies of the KLF6 gene was associated with higher expression of this gene.
Figure 3

Analysis of the correlation between the log2 ratio of gene expression and CNVs of the KLF6 gene in the skeletal muscle of adult Datong yak. (A) Relative CNV of the KLF6 gene (n = 41, M1–M41). (B) mRNA KLF6 gene expression level (n = 41, M1–M41). (C) Correlation between DNA copy number and mRNA KLF6 gene expression level. (D) The impacts of DNA CNVs on KLF6 mRNA gene expression level (≥1, n = 3; 2, n = 14; 3, n = 17; ≥4, n = 7) were evaluated between different CNV types. The error bars show the standard deviations (SDs). Different letters indicate a significant difference (p < 0.05).

4. Discussion

In yak, CNV surveying has been restricted to the discovery of CNV regions (CNVRs) using aCGH [25], BovineHD Genotyping Bead Chip Array [51] and next generation sequence (NGS) [9]. However, the detection methods and platforms used for surveying CNVs are varied and linked to differences in the resolution power, frequency, sampling size, genomic coverage, CNV calling algorithms and other technological advantages and disadvantages [52,53]. However, previous studies indicated that NGS is a more precise platform than array-based methods [9]. The identification of false positives and negative CNVs from different sequencing results has been accomplished by qPCR and/or fluorescence in situ hybridization (FISH) [4,9,52]. Moreover, in various species of livestock, different CNVs were broadly validated by qPCR [4,9,51]. As such, the detection of CNVs and gene expression levels by qPCR is a very efficient method [8,26]. Gains and losses in gene copies within the genome are related to the gene dosage and the mutation of regulatory factors influences gene expression [54]. Our results demonstrate that the loss CNV type of the KLF6 gene is significantly (p < 0.05) associated with the body weight, chest girth and body length of 6-month-old and 5-year-old yak; however, the majority of the phenotypes examined exhibited considerable variation in CNV types. Indeed, Dionyssiou et al. [55] observed that KLF6 depletion resulted in enhanced myogenic differentiation, which indicates that the presence of 0 or 1 copies of KLF6 impacts growth traits and thus implies that the position of KLF6 in the CNVRs that encompass QTLs is associated with economic quantitative traits [4]. In contrast, works revealed by Xu et al. [20,21], Yang et al. [26] and Liu et al. [24] found that gains in the copy number of the MYH3, MICAL-L1, CYP4A11 and MAPK10 genes were associated with high body weight, chest girth, body length and height in Chinese cattle. In agreement with these findings, losses in copy numbers of the insulin (INS) gene were associated with increased body mass index and waist circumference in humans [56]. Disagreement with these findings, gains in copy numbers of LEPR and neuronal growth regulator 1 (NEGR1) gene were associated with a decreased body mass index, waist circumference and risk of abdominal obesity in human [56]. Various CNVs unquestionably exert significant effects on meat production and reproduction traits in cattle [57]. As outlined above, KLF6 CNVs showed diverse distributions among the yak populations. Normal CNVs were more common in Datong yak, whereas CNV gains were more common in Polled yak and CNV losses were more common in Tianzhu, Gannan and Plateau yak populations. Genetic diversity in yak breeds may indicate long-term effects of artificial insemination, hybridization and introgression of yak breeds. These results further explain the frequencies of different copy-number types in five breeds with variations that could originate from the diversity of breeds kept in different environments [26,58]. Datong yak are the first artificially cultivated yak breed created by the mating of Huanhu yak cows with wild yak (male) for meat production and Polled yak were obtained from the breeding of Polled yak cows with horned yak bulls [31,59]. The Tianzhu, Gannan and Plateau yak populations are among the indigenous yak of China. Comparable to these results, the gain copy type of the GBP2 gene is in higher frequency in yak compared to Chinese cattle breeds [60]. These results might be explained by Upadhyay et al. [61], who found that a discrepancy in CNV between different cattle populations could occur due to population history, such as a change in past effective population size, gene flow and selection processes. Biochemically, KLF6 gene plays a significant role in the regulation of cell differentiation and proliferation and muscle development [37]. These results showed that the KLF6 gene is expressed at significantly higher levels in the lung, muscle, kidney and spleen compared with other yak tissues, which indicates that the KLF6 gene might play a vital role in the development of the lung, muscle, kidney and spleen. Dionyssiou et al. [55] identified cellular processes that are cooperatively regulated by the TGFB1 and KLF6 genes. The high expression of the KLF6 gene in fetal yak tissues might explain the initial detection of the KLF6 gene in placental cells and its essential role in the regulation of the TATA box-less genes encoding pregnancy-specific glycoproteins (PSGs) in humans [62], which are involved in placental development and pregnancy maintenance [63]. These results also support the work conducted by Atkins and Jain [64], who reported that the KLF6 gene is highly expressed in the placenta [61], neuronal tissue, hindgut, heart, lung, kidney and limb buds during mid gestation [36,65]. Our results strongly indicate that KLF6 showed differential expression in different yak tissues and at different developmental stages [24]. Remarkably, KLF6 expression in the skeletal muscle of Datong yak was negatively influenced by CNVs. Indeed, the negative trend between the copy number and mRNA level of KLF6 hinted at a potential effect of this CNV on muscle development and this finding was confirmed by the finding that the knockdown of wild-type KLF6 (wtKLF6) increased tumor growth in nude mice while reducing overall growth and the expression of angiogenesis-related proteins [66]. These results suggest that the mRNA expression and DNA copy numbers of KLF6 are negatively correlated due to gene dosage effects. Consistent with this study, Merla et al. [67] showed that changes are not always directly correlated to CNVs and are influenced by various factors, including the deletion size, altered chromatin structure, a dosage-compensation mechanism, or a combination of these factors. Similarly, Liu et al. [26] revealed that CNVs affect gene expression through gene dosage and gene-gene or gene-environment interactions. According to a study by Stranger et al. [50], changes in copy number could cause variations in gene expression. There is evidence that such relative copy variations can be both negatively [21,25] and positively [20,24] correlated with relative mRNA expression. Moreover, this result confirmed that the differential effects of CNVs on phenotype traits are dependent upon the tissue specificity of the gene [24]. The finding that cis-expression QTLs (eQTLs) detected in rat tissues directly overlap with CNVRs indicates that CNVs are major tissue-independent regulators of gene expression [68]. Stranger et al. [50] reported that approximately half of the CNV-related effects on gene expression are caused by gene disruption or disturbances in regulatory and other functional regions rather than by altering the gene dosage. Somerville et al. [69] suggested that the copy number has negative effects on gene expression due to disruption of coding sequences; however, phenotypes associated with deletion and duplication within gene regions are sensitive to the dose. Thus, these findings confirm that quantitative growth traits are influenced by KLF6 CNVs by altering transcriptional levels of the gene. Notably, these results underlie the fundamental role of KLF6 CNVs and lay the foundation for future research aiming to design a breeding program for yak populations. In addition, we suggest that the breeding design affects the production of meat and milk by yak breeds; therefore, KLF6 CNVs could be incorporated into breeding objectives by breeders to fulfill the requirement of livestock keepers and consumers. This investigation represents a milestone in the development of a commercial yak production business because the loss CNV type of the KLF6 gene could be used in future molecular marker-assisted selection in yak breeding. These observations illustrate that losses in the copy number of the KLF6 gene prominently affect yak growth traits, in agreement with the negative correlation found between the mRNA expression levels and CNVs of the KLF6 gene.

5. Conclusions

In summary, this study elucidated the KLF6 CNV distribution among five Chinese domestic yak breeds. The expression levels of KLF6 were mostly high during fetal development (embryo) and low in adult tissues but these followed the same patterns at both developmental ages, supporting a biological role for this gene in cell proliferation and differentiation, development, apoptosis and angiogenesis, particularly during fetal development. These results confirmed the significant function of KLF6 CNVRs in determining the mRNA expression levels of this gene in Bos grunniens skeletal muscles and the expression of this gene affects quantitative growth traits in yak populations through the negative relationship between DNA copy numbers and gene expression. The loss CNV type was positively associated with economically important quantitative traits in Datong yak. This work provides the first observation of the biological role of KLF6 CNVs in Chinese Datong yak breeds and might therefore provide a novel opportunity to utilize data on CNVs in designing molecular markers for the selection of animal breeding programs for larger populations of various yak breeds.
  58 in total

1.  Further defining housekeeping, or "maintenance," genes Focus on "A compendium of gene expression in normal human tissues".

Authors:  A J Butte; V J Dzau; S B Glueck
Journal:  Physiol Genomics       Date:  2001-12-21       Impact factor: 3.107

Review 2.  Side effects of genome structural changes.

Authors:  Alexandre Reymond; Charlotte N Henrichsen; Louise Harewood; Giuseppe Merla
Journal:  Curr Opin Genet Dev       Date:  2007-10-24       Impact factor: 5.578

Review 3.  Structural variation in the human genome and its role in disease.

Authors:  Paweł Stankiewicz; James R Lupski
Journal:  Annu Rev Med       Date:  2010       Impact factor: 13.739

4.  Targeted inhibition of the KLF6 splice variant, KLF6 SV1, suppresses prostate cancer cell growth and spread.

Authors:  Goutham Narla; Analisa DiFeo; Shen Yao; Asoka Banno; Eldad Hod; Helen L Reeves; Rui F Qiao; Olga Camacho-Vanegas; Alice Levine; Alexander Kirschenbaum; Andrew M Chan; Scott L Friedman; John A Martignetti
Journal:  Cancer Res       Date:  2005-07-01       Impact factor: 12.701

5.  Genome-wide variation within and between wild and domestic yak.

Authors:  Kun Wang; Quanjun Hu; Hui Ma; Lizhong Wang; Yongzhi Yang; Wenchun Luo; Qiang Qiu
Journal:  Mol Ecol Resour       Date:  2014-02-10       Impact factor: 7.090

Review 6.  Biology of Krüppel-like factor 6 transcriptional regulator in cell life and death.

Authors:  Verónica Andreoli; Ricardo C Gehrau; Jose Luis Bocco
Journal:  IUBMB Life       Date:  2010-12       Impact factor: 3.885

7.  Differential expression of the klf6 tumor suppressor gene upon cell damaging treatments in cancer cells.

Authors:  Ricardo C Gehrau; Diego S D'Astolfo; Verónica Andreoli; José L Bocco; Nicolás P Koritschoner
Journal:  Mutat Res       Date:  2010-12-13       Impact factor: 2.433

Review 8.  The challenges and importance of structural variation detection in livestock.

Authors:  Derek M Bickhart; George E Liu
Journal:  Front Genet       Date:  2014-02-18       Impact factor: 4.599

9.  Bivariate genome-wide association analysis of the growth and intake components of feed efficiency.

Authors:  Nick V L Serão; Dianelys González-Peña; Jonathan E Beever; Germán A Bollero; Bruce R Southey; Daniel B Faulkner; Sandra L Rodriguez-Zas
Journal:  PLoS One       Date:  2013-10-29       Impact factor: 3.240

10.  Genome-wide copy number variation (CNV) detection in Nelore cattle reveals highly frequent variants in genome regions harboring QTLs affecting production traits.

Authors:  Joaquim Manoel da Silva; Poliana Fernanda Giachetto; Luiz Otávio da Silva; Leandro Carrijo Cintra; Samuel Rezende Paiva; Michel Eduardo Beleza Yamagishi; Alexandre Rodrigues Caetano
Journal:  BMC Genomics       Date:  2016-06-13       Impact factor: 3.969

View more
  5 in total

Review 1.  Advances of Molecular Markers and Their Application for Body Variables and Carcass Traits in Qinchuan Cattle.

Authors:  Sayed Haidar Abbas Raza; Rajwali Khan; Sameh A Abdelnour; Mohamed E Abd El-Hack; Asmaa F Khafaga; Ayman Taha; Husein Ohran; Chugang Mei; Nicola M Schreurs; Linsen Zan
Journal:  Genes (Basel)       Date:  2019-09-17       Impact factor: 4.096

2.  Copy Number Variation of the CADM2 Gene and Its Association with Growth Traits in Yak.

Authors:  Fei Ge; Congjun Jia; Min Chu; Chunnian Liang; Ping Yan
Journal:  Animals (Basel)       Date:  2019-11-21       Impact factor: 2.752

3.  In vitro investigation on lactic acid bacteria isolatedfrom Yak faeces for potential probiotics.

Authors:  Qingli Zhang; Meng Wang; Xin Ma; Zhijie Li; Chenghui Jiang; Yangyang Pan; Qiaoying Zeng
Journal:  Front Cell Infect Microbiol       Date:  2022-09-16       Impact factor: 6.073

4.  Copy Number Variations and Expression Levels of Guanylate-Binding Protein 6 Gene Associated with Growth Traits of Chinese Cattle.

Authors:  Dan Hao; Xiao Wang; Bo Thomsen; Haja N Kadarmideen; Xiaogang Wang; Xianyong Lan; Yongzhen Huang; Xinglei Qi; Hong Chen
Journal:  Animals (Basel)       Date:  2020-03-27       Impact factor: 2.752

5.  Myostatin (MSTN) Gene Indel Variation and Its Associations with Body Traits in Shaanbei White Cashmere Goat.

Authors:  Yi Bi; Bo Feng; Zhen Wang; Haijing Zhu; Lei Qu; Xianyong Lan; Chuanying Pan; Xiaoyue Song
Journal:  Animals (Basel)       Date:  2020-01-19       Impact factor: 2.752

  5 in total

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