Evolutionary selection on synonymous codons in RNA G-quadruplex structural region

Xu Yuming Qi Ting Gu Wanjun Lu Zuhong

(School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China)(State Key Laboratory of Bioelectronics, Southeast University, Nanjing 210096, China)

AbstractTo investigate how synonymous codons have been adapted to the formation of ribonucleic acid (RNA) G-quadruplex (rG4) structure, a computational searching algorithm G4Hunter was applied to detect rG4 structures in protein-coding sequences of mRNAs in five eukaryotic species. The native sequences forming rG4s were then compared with randomized sequences to evaluate selection on synonymous codons. Factors that may influence the formation of rG4 were also investigated, and the selection pressures of rG4 in different gene regions were compared to explore its potential roles in gene regulation. The results show universal selective pressure acts on synonymous codons in rG4 regions to facilitate rG4 formation in five eukaryotic organisms. While G-rich codon combinations are preferred in the rG4 structural region, C-rich codon combinations are selectively unfavorable for rG4 formation. Gene’s codon usage bias, nucleotide composition, and evolutionary rate can account for the selective variations on synonymous codons among rG4 structures within a species. Moreover, rG4 structures in the translational initiation region showed significantly higher selective pressures than those in the translational elongation region.

Key wordsribonucleic acid (RNA) structure; G-quadruplex; synonymous codons; evolution; selection

mRNAs of protein-coding genes in eukaryotic organisms carry the genetic information to encode amino acid sequences and contain multiple regulatory and structural signals[1]. The pivot provision enabling mRNA to hold these regulatory functions is the redundancy of the genetic code that allows for many “silent” mutations at synonymous codon sites[2]. Synonymous nucleotide mutations do not change the amino acid sequences of the encoded proteins; however, they can confer dramatic differences to the structure and functions of mRNA[1-3]. Much evidence has shown that synonymous codons are selected for optimized RNA stability[4-5], proper nucleosome positioning[6], efficient mRNA splicing[7-8], correct microRNA targeting[9], efficient translation initiation[10-12] and elongation[13], and proper protein co-translational folding[14-15].

The RNA G-quadruplex (rG4) is a non-canonical super-secondary structure around the G-rich sites in RNA sequences, which consists of the stacking of G-quartets formed by the G-G Hoogsteen hydrogen bonding[16]. Several experimental studies have shown that rG4 is ubiquitous in untranslated regions and protein-coding sequences (CDSs) of eukaryotes[17]. RG4 structures have been shown to perform many diverse and vital functions in a wide range of biological processes, such as pre-mRNA splicing[18], alternative polyadenylation[19], mRNA localization[20-21], microRNA targeting[22], and translational regulation[23-28]. Due to the presence of the 2α-hydroxyl property, the rG4 structure is more stable than DNA G-quadruplex[29]. In a recent study, Mirihana Arachchilage et al[30] have demonstrated that the most stable G4s appeared to be significantly under-represented within the CDS using specific synonymous codon combinations. However, several key problems regarding synonymous codon usage, rG4 formation, and evolution remain unaddressed.

In this study, the evolutionary choices of synonymous codons were evaluated around putative rG4 structures (pG4) at the whole transcriptome scale in multiple eukaryotic species. The searching algorithm G4Hunter was applied to detect rG4 structures in the protein-coding sequences of mRNAs in five eukaryotic species. Then,the native sequences forming rG4s were compared with randomized sequences to evaluate the selection of synonymous codons. Factors that may influence the formation of rG4 were also investigated, and the selection pressures of rG4 in different gene regions were compared to explore its potential roles in gene regulation. These analyses may help describe the evolutionary selections acting on synonymous codons in protein-coding regions.

1 Materials and Methods

1.1 Data

The nucleotide sequences and exonic structures of all protein-coding genes were downloaded in five eukaryotic species, including H. sapiens (GRCh38.p13), M. musculus (GRCg6a), G. gallus (GRCm38.p6), D. rerio (GRCz11), and D. melanogaster (BDGP6.28), using Ensembl BioMarts (release 97) [31]. Only protein-coding genes with a coding sequence of more than 150 nucleotides were included. Furthermore, miRNA target sites in the protein-coding regions of human and mouse genomes were downloaded from the miRDB database[32-33].

To explore the factors that affect the selection for rG4 structure formation, gene codon usage bias, nucleotide composition, and its evolutionary rate were considered. The effective number of codons (ENC) was used to measure codon usage bias, and ENC values for each gene were calculated as suggested by Wright[34]. A lower ENC value indicates stronger codon bias[34]. For each gene, we also calculated nucleotide compositions, including G and C contents. Moreover, the Dn and Ds values of all human and mouse orthologous genes were also retrieved from Ensembl BioMarts[35]. As a popular indicator of selection acting on protein-coding sequences, Dn/Ds quantifies the mode and strength of selection by comparing synonymous substitution rates (Ds) with nonsynonymous substitution rates (Dn)[36]. Generally, Dn/Ds close to one indicates neutrality; values greater than one are interpreted as positive selection (selection promoting change), and values less than one usually indicate purifying selection (selection suppressing protein change). Here, the ratio of Dn and Ds values for each gene are calculated and the value of Dn/Ds is used as the measurement of the evolutionary rate of genes in mice and humans.

1.2 rG4 structure in the protein-coding region

To locate rG4 structures in the protein-coding region, the G4Hunter algorithm[37] was exploited to systematically search for potential rG4 forming sites in the protein-coding sequences in all five species. G4Hunter considers G-richness and G-skewness of a given sequence and presents a quadruplex formation propensity score, G4Hscore, as output. G4HunterApps was run with a window size at 25 nt and a cutoff at 1.2[38] to identify all potential rG4 structures (pG4) in all protein-coding sequences. G4Hunter algorithm was chosen with these two parameters, since a comprehensive evaluation of computational methods for rG4 prediction has suggested that G4Hunter has the best performance in predicting G4 structures[39]. 65 562, 42 153, 38 311, 25 194, and 14 184 rG4 structures were identified in protein-coding sequences for H. sapiens, M. musculus, G. gallus, D. rerio, and D. melanogaster, respectively. To validate the observations of predicted rG4 structures, experimentally detected rG4 sites were also downloaded from the supplemental materials of Guo et al[40]. The experimental rG4 data were achieved by high throughput RT-stop techniques in human HEK293T cells and mouse mESC cells.

1.3 mRNA randomization

If the choice of synonymous codons influences the formation of rG4 structures in coding sequences, the G4Hscore of mRNA sequences in the naturally occurring pG4 region should be statistically different from that of randomized sequences. Thus, synonymous codons in the coding sequence were randomly shuffled, keeping the same amino acid sequence, GC composition, and codon usage bias. For each CDS sequence, the shuffling process was repeated 1 000 times to obtain a set of randomized artificial sequences. The G4Hscore of each 30 nt window in the native CDS sequence and each permutated sequence were calculated using the G4Hunter algorithm[37]. The difference of G4 forming potential between the native sequence and the randomized sequences was determined by calculating the Z-score of the G4Hscore (ZG4S) for each sliding window using the following formula

(1)

where SN is the G4Hscore for the native sequence in the window; SRi is the G4Hscore of the corresponding window of the i-th randomized sequence; is the mean of SRi overall randomized sequences; n is the total number of randomized sequences.

Similarly, the difference between the G (or C) compositions of the native sequence and randomized sequences was evaluated. The Z-score of the G content (ZG) and that of the C content (ZC) for each sliding window can be calculated as follows:

(2)

(3)

where GNand CN are the G content and the C content of the native sequence in the window; GPi and CPi are the G content and the C content of the corresponding window of the i-th randomized sequence, respectively; are the means of GPi and CPi overall randomized sequences, respectively.

2 Results

2.1 Selection of rG4 structures on synonymous codons

The rG4 forming propensity score, G4Hscore [37], was calculated along the mRNA sequences with a sliding window scheme. For each pG4 structure in the transcriptome, a 30 nt window was moved both upstream and downstream from the start position of the pG4 structure with a 30 nt step, and the G4Hscore of the sequence in each of the 13 windows was calculated. To estimate the background distribution of the formation propensity of rG4 structures, the mRNA sequences were randomized by shuffling synonymous codons 1 000 times, and the G4Hscore in the corresponding sliding windows was calculated. The G4Hscore of the real mRNA sequence in a sliding window was compared with that of 1 000 corresponding sliding windows in the shuffled sequences. ZG4S was calculated to assess the deviation of rG4 formation in the observed mRNA sequence from a random expectation. A positive ZG4S value means synonymous codons are selected to facilitate the formation of rG4 structures, while a negative ZG4S value indicates a selective pressure that prevents the formation of rG4 structures.

The sliding window analysis was performed in five eukaryotic species, including H. sapiens, M. musculus, G. gallus, D. rerio, and D. melanogaster. A significantly positive ZG4S value was observed in the window of pG4 structures in all five species (see Fig.1). When sliding windows move to the upstream or downstream of the pG4 structures, ZG4S values drop quickly in the flank region of pG4 structures and oscillate around zero for sliding windows away from the pG4 structures (see Fig.1). When in vitro experimentally identified rG4 structures in human HEK293T cells and mouse mESC cells were analyzed by the same procedure, a similar pattern of ZG4S was found changing along the sliding windows (see Fig.2).

(a) (b) (c)

(d) (e)

Fig.1 Standard error and mean value of ZG4S in 13 sliding windows of protein-coding sequences in five eukaryotic species. (a) D. melanogaster; (b) D. rerio; (c) G. gallus; (d) M. musculus; (e) H. sapiens

(a) (b)

Fig.2 The standard error and mean of ZG4S of 13 sliding windows around pG4 regions in protein-coding sequences. (a) HEK293T cells; (b) mESC cells

2.2 Selection for rG4 formation on the GC content of codon combinations

To investigate how synonymous codons are selected for rG4 formation, ZG and ZC of a 30 nt window were calculated for each pG4 structure. Fig. 3 shows a significant positive correlation between ZG and ZG4S for pG4 structures in all five species. In comparison, a weaker but significant negative correlation between ZC and ZG4S of pG4 structures was also observed in all five species (see Fig.4).

(a) (b) (c)

(d) (e)

Fig.3 The correlations between ZG4S and ZG for each pG4 structure in the protein-coding region. (a) D. melanogaster; (b) D. rerio; (c) G. gallus; (d) M. musculus; (e) H. sapiens

(a) (b) (c)

(d) (e)

Fig.4 The correlations between ZG4S and ZC for each pG4 structure in the protein-coding region. (a) D. melanogaster; (b) D. rerio; (c) G. gallus; (d) M. musculus; (e) H. sapiens

2.3 Features of the host gene that associate with rG4 selection

Although the mean value of ZG4S is significantly larger than zero for all exonic pG4 structures in all five species (see Fig. 1), there are substantial variations among different pG4 structures within a single organism (see Figs. 3 and 4). To explore the factors that affect the selective pressures on synonymous codons for rG4 formation, several putative gene-level factors were considered, including the codon usage bias, evolutionary rate, and nucleotide compositions of the host gene where the pG4 structure is located. Analyses showed that ZG4S values of pG4 structures in genes with the highest 5% ENC are significantly higher (p=1.2×10-12 in humans and p=2.8×10-11 in mice) than those genes with the lowest 5% ENC values (see Fig. 5(a)). For the top 5% genes with the highest Dn/Ds ratio, ZG4S values of pG4 structures are significantly larger (p=4.1×10-3 in humans and p=4.3×10-6 in mice) than those pG4 structures in the bottom 5% genes with the lowest Dn/Ds ratio (see Fig. 5(b)). When pG4 structures in genes with the highest 5% G content are compared to those with the lowest 5% G content, it showed that pG4 structures located in genes with the highest 5% G content had significantly smaller (p<2×10-16 in humans and p<2×10-16 in mice) ZG4S values (see Fig. 5(c)). Moreover, ZG4S values of pG4 structures in genes with the top 5% C content are also statistically smaller (p=8.5×10-14in humans and p=1.9×10-5 in mice) than those in genes with the bottom 5% C content.

(a) (b)

(c)

Fig.5 Association between gene features and ZG4S variations among rG4 structures of human and mice. (a) ENC value; (b) Dn/Ds value; (c) G content

2.4 Different selective pressure for rG4 structures in different gene regions

Other than the features of the host genes, ZG4S differences of rG4 structures in different gene regions were also evaluated. First, pG4 structures were grouped into two categories: those in the translation initiation region (within 70 nt downstream of the start codon) and those out of the translation initiation region. The results showed that pG4 structures in the translation initiation region had significantly higher ZG4S values than those in the translation elongation region (see Fig. 6). Next, ZG4S values of pG4 structures near exonic splicing sites (within 60 nt of splicing sites) were compared with those of pG4s distant from the splicing sites. Although ZG4S values for pG4 structures near the splicing sites tend to be smaller than those distant from the splicing sites (data not shown), the differences are not statistically significant for rG4 structures in both downstream and upstream flank regions of splicing sites. Finally, ZG4S values of pG4 structures in microRNA (miRNA) target sites were compared with ZG4S values of pG4s out of miRNA target region. No significant differences were observed between ZG4S values of pG4 structures in miRNA target region and those out of miRNA target sites.

(a) (b)

Fig.6 Cumulative probability curves of ZG4S values of rG4 structures in the translation initiation region and the translation elongation region. (a) H. sapiens; (b) M. musculus

3 Conclusions

1) Synonymous codons are universally selected for the formation of rG4 structures in the protein-coding sequences of the five eukaryotic organisms under investigation. While G-rich codon combinations are preferred in the rG4 structural region, C-rich codon combinations are selectively unfavorable for rG4 formation.

2) The selective pressures acting on synonymous codons are stronger for pG4 structures in genes with lower G nucleotides, less biased usage of synonymous codons, and a lower evolutionary rate. These differences are consistent for pG4 structures in humans and mice.

3) Synonymous codons in some specific gene regions, such as the translation initiation region, were under different selective pressures for the rG4 formation. However, rG4 structures in the miRNA target region and splicing sites flank region did not show obviously different evolutionary selections on synonymous codons.

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RNA G-四联体结构区的同义密码子进化选择

许育铭 齐 婷 顾万君 陆祖宏

(东南大学生物科学与医学工程学院,南京 210096)(东南大学生物电子学国家重点实验室,南京 210096)

摘要:为探索同义密码子对RNA G-四联体(rG4)形成的适应效应,利用G4Hunter算法搜寻5类真核生物mRNA蛋白编码区的rG4结构.通过对比天然序列和随机序列,评估rG4结构对同义密码子的选择偏好,分析影响rG4形成的因素,检验基因特定区域rG4结构的选择压力,以揭示rG4在基因调控中的潜在作用.结果表明,在5类真核生物中,rG4结构区内的同义密码子普遍受到促使rG4形成的选择压力.在rG4结构区内的蛋白编码序列倾向于使用富含鸟嘌呤的密码子组合,不倾向于选择富含胞嘧啶的密码子组合.密码子使用偏好、碱基成分以及进化速率等因素和rG4对同义密码子的选择压力具有相关性.基因翻译起始区的序列受到更强的促使rG4结构形成的选择压力.

关键词:RNA结构;G-四联体;同义密码子;进化;选择

DOI:10.3969/j.issn.1003-7985.2021.02.007

Received 2020-09-20, Revised 2021-04-26.

Biographies:Xu Yuming (1988—), male, Ph.D. candidate; Lu Zuhong (corresponding author), male, doctor, professor, zhlu@seu.edu.cn.

Foundation items:The National Key Research and Development Program of China (No. 2018YFC1314900, 2018YFC1314902), the National Natural Science Foundation of China (No. 61571109), the Fundamental Research Funds for the Central Universities (No. 2242017K3DN04).

CitationXu Yuming, Qi Ting, Gu Wanjun, et al.Evolutionary selection on synonymous codons in RNA G-quadruplex structural region[J].Journal of Southeast University (English Edition),2021,37(2):177-183.DOI:10.3969/j.issn.1003-7985.2021.02.007.

中图分类号:Q311