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Article

Whole-Genome Sequencing for Identifying Candidate Genes Related to the Special Phenotypes of the Taihu Dianzi Pigeon

by
Rui Zhang
1,
Chunyu Mu
1,
Lingling Chang
1,
Xinyue Shen
1,
Zhu Bu
1,
Mingjun Yang
2,
Shengyong Fu
1,
Qingping Tang
1,*,
Peiyao Liu
2 and
Xiaoming Yang
2
1
Institute of Poultry Science, Chinese Academy of Agricultural Sciences Poultry Institute, Yangzhou 225100, China
2
Henan Tiancheng Pigeon Industry Co., Ltd., Pingdingshan 462513, China
*
Author to whom correspondence should be addressed.
Animals 2024, 14(7), 1047; https://doi.org/10.3390/ani14071047
Submission received: 1 February 2024 / Revised: 28 February 2024 / Accepted: 26 March 2024 / Published: 29 March 2024
(This article belongs to the Section Birds)
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Abstract

:

Simple Summary

Pigeons are highly diverse and exhibit a variety of external features, such as a special piebald pattern, crest, and polydactyly. However, the mechanism underlying the formation of these special phenotypes has not been elucidated. We aimed to study the candidate genes associated with the special piebald, crest, and polydactyly traits in the Taihu Dianzi pigeon. Some candidate genes were identified by a selective sweep and GWAS. This result may be important for understanding each trait, which could establish a foundation for the development and utilization of local pigeon resources in China.

Abstract

The Taihu Dianzi pigeon is a breed native to China, and its special piebalding, crest, and polydactyly phenotypes are the result of artificial and natural selection. Here, we analyzed the genetic differences among three kinds of pigeons with different phenotypes at the genomic level. A selective sweep was conducted based on the fixation index (FST) and nucleotide diversity (π) ratio, and the results revealed that MC1R was related to the formation of the distinctive piebalding of the Taihu Dianzi pigeon. Combined with the results of genome-wide association studies, we identified candidate genes associated with the crest (SMYD and STOX2) and polydactyly (SLC52A3 and ANGPT4). The candidate genes identified in this study and their variants may be useful for understanding the genetic mechanism underlying the special phenotypes of the Taihu Dianzi pigeon. This study provides new insights into the genetic factors that may influence the formation of the special piebalding, crest, and polydactyly characteristics in pigeons.

1. Introduction

The pigeon (Columba livia) is a common bird worldwide that was deeply loved by Darwin and is extensively described in the book “Origin of Species.” Pigeons are highly diverse and exhibit more trait variation than any other bird [1]; they are known as an ideal model for different investigations, such as those on ecology, behavior, and genetic diversity [2]. Like in other domestic animals, natural and artificial selection have impacted the genetic evolution of pigeons [3]. For several reasons, such as environmental adaptation, communication requirements, people’s preferences, and sports, pigeons have evolved various phenotypic characteristics [4,5]. Due to their gentle temperament and distinct appearance, some pigeons have been collected and cultivated for ornamental purposes for a long time.
In China, pigeon breeding has been a normalized activity since ancient times, during which several kinds of domestic breeds have been selected. Hundreds of breeds exhibit extensive variation in plumage color and pattern [6]. The Taihu Dianzi pigeon is a domestic ornamental breed that originated in the Taihu Lake area of China. It has white plumage covering its body, and its black tail and black spot on the top of the head form a special piebalding. Compared with ordinary pigeons, some Taihu Dianzi pigeons have a crest on their forehead or one more toe. Because of its beautiful appearance and special characteristics (piebalding, a crest and polydactyly), it is a special resource that was generated over hundreds of years and is loved by local people. A pigment pattern that has evolved repeatedly within and among species is called piebalding. Piebalding is characterized by patches of pigmented and non-pigmented feathers, and these plumage patterns are often breed-specific and stable across generations [6]. The crest trait is a specific and widely distributed phenotype in birds, but the shape and physiological characteristics of this trait vary among different species of birds. The crest in chickens consists of feathers on the head that are elongated and upraised and differ between breeds in density, size, and shape [7]. The cerebral hemispheres of partially crested chickens are extruded into the spherical region of the skull, and the anterodorsally part of the skull is expanded into a large spherical protuberance, referred to as a “cerebral hernia” [8], but this is not present in all chickens [9]. The crest cushion of the crested duck consists of soft tissue protuberances covered by feathers and skin [10]. Currently, there is limited research on the crests of pigeons. A previous study on the crest at the back of the pigeon brain showed that the formation of this kind of crest is due to the reverse growth of the head feathers during development, and the authors identified the EphB2 gene as a candidate for the development of this kind of crest in pigeons [11]. Therefore, it can be inferred that crest formation is a complex process involving different genetic mutations and physiological factors.
In general, fowls have four toes on each foot, while some breeds have more toes, which is known as polydactyly. The four-toed condition of the fowl is the result of the loss of the fifth digit from the typical pentadactyl foot of higher vertebrates. Various researchers have shown that the additional toe in five-toed breeds does not constitute a restoration of the missing fifth digit but rather is due to the development of a new toe on the foot [12]. Studies on polydactyl chickens have shown that polydactyly in chickens of different origins can be caused by different mutations that are closely located in the chicken genome [13]. However, current studies on the mechanism underlying polydactyly development in pigeons are limited. Here, we selected three kinds of pigeon breeds, including two pigeon breeds native to China and an introduced pigeon breed (Figure 1). White Carneau pigeons are bred for commercial use and covered with full-body white feathers. The Tarim pigeon is native to the Tarim Basin in the Xinjiang Uygur Autonomous Region, and the central production areas are the Kashi and Aksu regions. The Tarim pigeons have undergone almost no artificial selection, so their appearance is similar to that of wild pigeons. The above two types of pigeons exhibit neither crests nor polydactyly. This study aimed to uncover the molecular targets that shape the unique morphological features of the Taihu Dianzi pigeon. To do this, we conducted genome-wide selective sweep and genome-wide association studies (GWAS) to identify genomic regions and candidate genes that may explain the distinctive phenotypes.

2. Materials and Methods

2.1. Ethics Statement

This study was conducted from November 2022 to June 2023 at the Institute of Poultry Science, Chinese Academy of Agricultural Sciences (PI-CAAS), Yangzhou, China. The experimental procedures were approved by the Animal Ethics Committee of the PI-CAAS, and humane animal care and handling procedures were followed throughout the experiment (protocol number: PI-CAAS-2022-10).

2.2. Animals and Whole Genome Sequencing

The three breeds included 33 Taihu Dianzi pigeons (DZ1: normal (11); DZ2: crested (11); DZ3: polydactyl (11)), 9 Tarim pigeons (TRM), and 11 white Carneau pigeons (CR) from Jiangsu Weitekai Pigeon Industry Co., Ltd. of China (Jiangyin, China) were included in this study. Total genomic DNA was extracted from blood samples using the CTAB (cetyltrimethylammonium bromide) method. At least 3 μg genomic DNA was used to construct paired-end libraries with an insert size of 300–400 bp using a Paired-End DNA Sample Prep kit (Illumina Inc., San Diego, CA, USA). These libraries were sequenced using the novaseq6000 (Illumina Inc., San Diego, CA, USA) NGS platform at Genedenovo Biotechnology Co., Ltd. (Guangzhou, China).

2.3. Variants Identification and Annotation

To identify SNPs and InDels, the Burrows-Wheeler Aligner Reads (BWA _0.7.12) was used to align the clean reads from each sample against the pigeon reference genome Cliv_2.1 (https://www.ncbi.nlm.nih.gov/assembly/GCA_000337935.2 (accessed on 15 January 2023)) with the settings ‘mem 4 -k 32 -M’, -k is the minimum seed length, and -M is an option used to mark shorter split alignment hits as secondary alignments [14]. Variant calling was performed for all samples using the GATK’s Unified Genotyper. SNPs and InDels were filtered using GATK’s Variant Filtration and those exhibiting segregation distortion or sequencing errors were discarded. To determine the physical positions of each SNP, the software tool ANNOVAR (http://www.openbioinformatics.org/annovar/) [15], was used to align and annotate SNPs or InDels.

2.4. Population Genetics Analysis

The neighbor-joining (NJ) tree based on filtered SNPs was constructed using MEGA-X software (www.megasoftware.net) (p-distance model) [16]. The population subdivision pattern was preliminarily classified in the principal component analysis (PCA) by the software GCTA (version 1.25.2) [17].

2.5. Selective Sweep Analysis

To ensure the accuracy of the analysis, the SNPs with missing rates greater than 20% and minor allele frequency (MAF) less than 1% were first excluded from further analysis. Multiple indexes related to population genetics, including nucleotide diversity (π) [18], π ratio [19], and fixation index (FST) [20], were calculated by the software PopGenome (version 2.2.4) [21] with a sliding window approach. The window size was set to 100 kb and the step size was set to 10 kb. Selective sweep regions were selected according to the interception of 2 indexes, which were FST and π ratio, with a threshold of the top 5% level. All related graphs were drawn by R scripts.

2.6. Genome-Wide Association Analysis

Genome-wide association mapping was implemented in TASSEL [22] v.5.2.54, using mixed linear model accounts for both population structure and kinship as fixed and random effects, respectively (MLM(QK)). The Bonferroni correction threshold (0.01/marker number) was used to identify significant associations. Candidate genes (CAGs) located within the 50-kb region upstream or downstream of significant associated makers were identified.

3. Results

3.1. Genome Resequencing of Five Pigeon Groups

Genome sequencing yielded a total of 941 Gb of raw data and produced 109 to 124 million sequence reads per group (Table 1). Over 97.6% of the generated sequence reads mapped to the annotated pigeon reference genome (Cliv_2.1), indicating that high-quality sequences were obtained. The average sequencing depth was 16.4× per group, within a range of 15.3- to 17.2-fold.

3.2. Identification and Annotation of Variants

A total of 15.06 M SNPs and 1.02 M InDels were detected in the mapped reads across all 53 samples, and the detailed information of each breed is shown in Table 2, with CR exhibiting the highest number of SNPs. Among the SNPs shared by the three groups, 8.56 M were SNPs, and the numbers of private SNPs in DZ, TRM, and CR were 1.18 M, 1.13 M, and 1.66 M, respectively (Figure 2).

3.3. Population Genetics

Neighbor-joining tree analysis (Figure 3a) and PCA (Figure 3b) supported three of the separate clusters, namely, DZ, TRM, and CR.

3.4. Selective Sweep Signals for the Taihu Dianzi Pigeon Special Piebalding

Using TRM and CR as the control groups, 66 and 69 selected regions, respectively, were identified by FST and π ratio analyses in the DZ (Figure 4a,b), and 73 and 104 selected genes, respectively, were annotated in these regions. Furthermore, 57 genes were identified by overlap analysis (Figure 5, Table S1), among which melanocortin-1 receptor (MC1R), enriched in the melanogenesis KEGG pathway, was associated with the special plumage color of the Taihu Dianzi pigeon. We identified two mutations in the MC1R gene in exon 1, including a synonymous mutation c. 279G>A and a missense mutation c. 520A>G (S174G), which were significantly correlated with the unique piebalding of the Taihu Dianzi pigeon (Figure 6).

3.5. Selective-Sweep Signals in Crested Pigeons

Using DZ1, DZ3, TRM, and CR as the control groups, 21, 28, 79, and 74 selected regions were identified by FST and π ratio analyses in DZ2 (Figure 7a–d), and 3, 12, 57, and 84 selected genes were annotated in these regions, respectively. However, no gene was identified by overlap analysis (Figure 8). Perhaps due to poor annotation of the pigeon genome, many genes were not annotated, preventing screening of selected genes.

3.6. Selective-Sweep Signals in Polydactyl Pigeons

Using DZ1, DZ2, TRM, and CR as the control groups, 32, 44, 72, and 68 selected regions were identified by FST and π ratio analyses in DZ3 (Figure 9a–d), and 4, 6, 88, and 103 selected genes were annotated in these regions, respectively. Furthermore, three genes affecting the development of polydactyly, angiopoietin 4 (ANGPT4), histocompatibility minor 13 (Hm13), and solute carrier family 52 member 3 (SLC52A3), were identified by overlap analysis (Figure 10).

3.7. Genome-Wide Association Analysis

In order to further screen for genes that affect the crest and polydactyly traits, we conducted a GWAS. Six SNPs significantly correlated with the crest trait were identified through GWAS (Figure 11, Table 3). Among them, five significant loci were located at AKCR02000006.1. Unfortunately, only one gene, SET and MYND domain containing three (SMYD), near the SNP located at AKCR02000002.1 was annotated, and no genes near these SNPs located at AKCR02000006.1 were annotated due to a lack of sufficient annotation information on the pigeon genome. Therefore, we extracted the sequence covering the five SNPs at AKCR02000006.1 via alignment with the BLAST program (https://www.ncbi.nlm.nih.gov/ (accessed on 20 May 2023)) and inferred that the storkhead box two (STOX2) gene was contained in this region.
A total of 151 SNP loci significantly correlated with the polydactyly trait were identified through GWAS (Figure 12, Table S2), and five genes, R-spondin 4 (RSPO4), tensin-3 (TNS3), chloride channel 7 (CLCN7), SLC52A3, and ANGPT4, were annotated to be significantly correlated with polydactyly. This result, combined with the results of the selective sweep, revealed two genes, SLC52A3 and ANGPT4, that were enriched in riboflavin metabolism and the VEGF signaling pathway, respectively. Furthermore, one mutation in exon 1 of the SLC52A3 gene (c. 222G>A) and three mutations in the 5’UTR (c.-169G>A), exon 5 (c. 786G>A), and exon 8 (c. 1172T>C) of the ANGPT4 gene were associated with polydactyly. The detailed results are shown in Table 4. The mutations in these two genes may be related to the development of polydactyly in pigeons.

4. Discussion

The pigeon is one of the most well-known birds worldwide; it was probably domesticated at least 3000 years ago and possibly even earlier [23,24]. China is also a country with a long history of pigeon domestication, but there is a lack of identification and utilization of local pigeons, and the main commercial varieties rely on imports. To develop and utilize Chinese native pigeons, it is important to carry out molecular identification of local pigeons. The remarkable diversity of pigeons can be viewed as the outcome of massive selection activity. Pigeons exhibit dramatic variation in craniofacial structure; plumage color; placement and structure; foot features; vocalizations; flight ability; and many other traits [1]. Human-mediated selection can accelerate changes in animal morphological characteristics. Domestic pigeons undergo genomic variation under long-term natural and artificial selection pressures, which can directly affect the traits of their offspring [25]. The genomic data could reflect a wide variety of historical developments, including species introductions and artificial selection [26]. The exploration of population genetic structure and genetic diversity can be regarded as essential for genetic evaluation, reflecting cross-breeding and the utilization of genetic resources [27]. In this study, the neighbor-joining tree and PCA analysis showed that the three breeds were clustered by breed. Based on whole-genome sequencing data and combined with bioinformatics analysis, revealing the selection signals of important genetic traits remaining in the genome during animal domestication has become a mainstream approach [28,29,30]. Selection signals are the traces left on the genome of animals through long-term natural and artificial selection processes during domestication and typically manifest as linkage disequilibrium and reduced polymorphism at certain sites on both sides of the core variation [31]. The FST and π ratio has been proven to be very an effective method for identifying selection and elimination areas, especially when mining functional areas closely related to special traits, and often produce a strong selection signal [32,33].
In this study, a comparative analysis between the Taihu Dianzi pigeon and two other pigeon breeds revealed that the MC1R gene region was strongly selected. MC1R is a G protein-coupled receptor expressed in cutaneous and hair follicle melanocytes and plays a central role in coat color determination in vertebrates [34]. Numerous mutations in this gene have been widely reported to be related to specific skin, coat, and plumage colors in animals [35,36,37]. Similarly, MC1R variations are also associated with the diversity of pigeon plumage colors [38]. Here, we identified two mutations, c. 279G>A and c. 520A>G in MC1R that are most likely responsible for the formation of the special piebalding black head and tail in pigeons. This result was consistent with the previous findings of our research [39].
The crest is a cluster of feathers protruding from the head that are widely present in various birds, but the morphology of the crest varies among different birds. Research on crested chickens has shown that the HOX genes play a role in the formation of the altered skull morphology related to the crest phenotype [40]. The gene controlling the chicken crest trait may be located in the HOXC cluster adjacent to the HOXC8 gene [41]. The excess adipose tissue behind the cerebellum of the duck head affects the growth of the skull, and the high expression of the HOXC8 and EphA2 genes in intracranial adipose tissue may be related to the crest trait [42,43]. Mutations in the TAS2R40 gene identified through GWAS may also affect the formation of duck crests [10]. There are many types of crests on pigeons. After whole-genome sequencing of a variety of pigeons with crests, Shapiro revealed that a SNP in the EphB2 gene was significantly related to the crest trait [11]. This kind of crest is formed by the reverse growth of the head feathers during development, thus forming a crest at the back of the skull. However, the EphB2 gene, which may not be the key gene involved in the formation of crests in the Taihu Dianzi pigeon, was not screened in this study. Although we did not identify genes related to the crest trait through selective sweeps, we identified six SNPs significantly associated with the crest trait through GWAS. However, whether SMYD and STOX2 are the key genes controlling the crest trait of the Taihu Dianzi pigeon needs further experimental verification.
Polydactyly is a common limb abnormality in vertebrates. Extensive research has been conducted on polydactyly traits in humans [44], mice [45], and chickens [13], and various types of polydactylies have been classified. Pigeons are commonly four-toed, while the polydactyl Taihu Dianzi pigeons have extra toes on the outside of the inner toe of one or two feet, which is similar to the preaxial polydactyly [46]. Polydactyly in chickens occurs mainly on the short arm of chromosome 2, which harbors many candidate genes, such as SHH, Lmbr1, and Gli3 [47,48]. At present, there are no reports of polydactyly in pigeons. In this study, two candidate genes, SLC52A3 and ANGPT4, were identified through whole-genome resequencing combined with selective sweeps and GWAS. These genes may play important roles in the development of the polydactyly trait in the Taihu Dianzi pigeon.
The selection of many genes by selective sweep between the Taihu Dianzi pigeon and the other two pigeon breeds may be associated with the crest and polydactyly but was missed due to the high threshold set for subsequent screening. For example, the PTCH1 gene, an essential part of hedgehog signaling, is associated with human polydactyly [49,50]. In addition, many of the selected genes may be related to other interesting traits of Taihu Dianzi pigeons, such as CDH1 and Gas8, which are associated with facial features and need further exploration and analysis in the future [32]. Unfortunately, due to the limited degree of assembly and annotation of the pigeon genome, many identified SNPs cannot be precisely mapped, and related gene annotations cannot be performed. These specific results require further assembly and annotation of the pigeon genome.

5. Conclusions

Based on genome-wide resequencing data, combined with FST and π ratio for system selection signal detection and GWAS for significant SNP association analysis, the genes that affecting the special phenotypes of the Taihu Dianzi pigeon were identified. The MC1R gene was related to the formation of the distinctive piebald of the Taihu Dianzi pigeon. SMYD and STOX2 genes were related to the formation of the crest of the Taihu Dianzi pigeon. SLC52A3 and ANGPT4 genes might play an important role in the formation of the polydactyly of the Taihu Dianzi pigeon. The results of this study can provide a theoretical basis for the study of the pigeon piebalding, crest, and polydactyly traits.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ani14071047/s1, Table S1: The genes identified by selective sweep in Taihu Dianzi pigeon; Table S2: The information of the SNPs significantly correlated with the polydactyly trait.

Author Contributions

Conceptualization, R.Z.; Data curation, R.Z., L.C. and C.M.; Formal analysis, X.S.; Investigation, S.F. and P.L.; Methodology, Z.B.; Supervision, Q.T.; project administration, X.Y.; Resources, Q.T. and M.Y.; Writing—original draft, R.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Major Scientific and Technology Special Project in Henan Province (221100110200), Agricultural Science and Technology Independent Innovation Fund of Jiangsu Province (CX(22)3042).

Institutional Review Board Statement

The animal study protocol was approved by the Ethics Committee of the Institute of Poultry Science, Chinese Academy of Agricultural Sciences (PI-CAAS), Yangzhou, China. (protocol code: PI-CAAS-2022-10, date of approval: 25 July 2022).

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available in Supplementary Materials.

Acknowledgments

We are grateful to Guangzhou Genedenovo Biotechnology Co., Ltd. for assisting in sequencing and bioinformatics analysis.

Conflicts of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. Authors M.Y., P.L. and X.Y. come from the company Henan Tiancheng Pigeon Industry Co., Ltd.; however, there were no conflicts of interest related to the research in this study.

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Animals 14 01047 g001
Figure 1. Representative images of the two native Chinese pigeon breeds and the introduced pigeon breed. (A) The Taihu Dianzi and Tarim pigeons are two native pigeon breeds in China. The white Carneau pigeon is an introduced pigeon breed from the United States. (B) Some of the Taihu Dianzi pigeons exhibit a crest or polydactyly.
Figure 1. Representative images of the two native Chinese pigeon breeds and the introduced pigeon breed. (A) The Taihu Dianzi and Tarim pigeons are two native pigeon breeds in China. The white Carneau pigeon is an introduced pigeon breed from the United States. (B) Some of the Taihu Dianzi pigeons exhibit a crest or polydactyly.
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Animals 14 01047 g002
Figure 2. Venn diagram showing counts of shared and breed-specific variants in each breed. Taihu Dianzi pigeons (DZ), Tarim pigeons (TRM) and white Carneau pigeons (CR).
Figure 2. Venn diagram showing counts of shared and breed-specific variants in each breed. Taihu Dianzi pigeons (DZ), Tarim pigeons (TRM) and white Carneau pigeons (CR).
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Animals 14 01047 g003
Figure 3. (a) Phylogenetic tree of the three pigeon breeds; (b) 3D PCA plot of the pigeon population.
Figure 3. (a) Phylogenetic tree of the three pigeon breeds; (b) 3D PCA plot of the pigeon population.
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Animals 14 01047 g004
Figure 4. (a) The selective signals for parameter combinations of the π ratio (πTRM/πDZ) and FST based on the top 5%; (b) The selective signals for parameter combinations of the π ratio (πCR/πDZ) and FST based on the top 5%. The scatter plot represents the position of the coordinate plane determined by the values of two indicators.
Figure 4. (a) The selective signals for parameter combinations of the π ratio (πTRM/πDZ) and FST based on the top 5%; (b) The selective signals for parameter combinations of the π ratio (πCR/πDZ) and FST based on the top 5%. The scatter plot represents the position of the coordinate plane determined by the values of two indicators.
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Animals 14 01047 g005
Figure 5. Venn diagram showing the number of overlapping candidate genes between DZ and the other two pigeons. TRM-DZ: The selected genes were identified by FST and π ratio analyses in the DZ using TRM as the control groups. CR-DZ: The selected genes were identified by FST and π ratio analyses in the DZ using CR as the control groups.
Figure 5. Venn diagram showing the number of overlapping candidate genes between DZ and the other two pigeons. TRM-DZ: The selected genes were identified by FST and π ratio analyses in the DZ using TRM as the control groups. CR-DZ: The selected genes were identified by FST and π ratio analyses in the DZ using CR as the control groups.
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Animals 14 01047 g006
Figure 6. Alignment of nucleotide and amino acid sequences of MC1R among the three pigeon breeds. The same nucleotides are indicated in purple. Different amino acids are highlighted in the red box.
Figure 6. Alignment of nucleotide and amino acid sequences of MC1R among the three pigeon breeds. The same nucleotides are indicated in purple. Different amino acids are highlighted in the red box.
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Animals 14 01047 g007
Figure 7. (a) The selective signals for parameter combinations of the π ratio (πDZ1/πDZ2) and FST based on the top 5%. (b) The selective signals for parameter combinations of the π ratio (πDZ3/πDZ2) and FST based on the top 5%. (c) The selective signals for parameter combinations of the π ratio (πTRM/πDZ2) and FST based on the top 5%. (d) The selective signals for parameter combinations of the π ratio (πCR/πDZ2) and FST based on the top 5%. The scatter plot represents the position of the coordinate plane determined by the values of two indicators.
Figure 7. (a) The selective signals for parameter combinations of the π ratio (πDZ1/πDZ2) and FST based on the top 5%. (b) The selective signals for parameter combinations of the π ratio (πDZ3/πDZ2) and FST based on the top 5%. (c) The selective signals for parameter combinations of the π ratio (πTRM/πDZ2) and FST based on the top 5%. (d) The selective signals for parameter combinations of the π ratio (πCR/πDZ2) and FST based on the top 5%. The scatter plot represents the position of the coordinate plane determined by the values of two indicators.
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Animals 14 01047 g008
Figure 8. Venn diagram showing the number of overlapping candidate genes between DZ2 and the other groups. DZ1-DZ2: The selected genes were identified by FST and π ratio analyses in the DZ2 using DZ1 as the control groups. DZ3-DZ2: The selected genes were identified by FST and π ratio analyses in the DZ2 using DZ3 as the control groups. TRM-DZ2: The selected genes were identified by FST and π ratio analyses in the DZ2 using TRM as the control groups. CR-DZ2: The selected genes were identified by FST and π ratio analyses in the DZ2 using CR as the control groups.
Figure 8. Venn diagram showing the number of overlapping candidate genes between DZ2 and the other groups. DZ1-DZ2: The selected genes were identified by FST and π ratio analyses in the DZ2 using DZ1 as the control groups. DZ3-DZ2: The selected genes were identified by FST and π ratio analyses in the DZ2 using DZ3 as the control groups. TRM-DZ2: The selected genes were identified by FST and π ratio analyses in the DZ2 using TRM as the control groups. CR-DZ2: The selected genes were identified by FST and π ratio analyses in the DZ2 using CR as the control groups.
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Animals 14 01047 g009
Figure 9. (a) The selective signals for parameter combinations of the π ratio (πDZ1/πDZ3) and FST based on the top 5%. (b) The selective signals for parameter combinations of the π ratio (πDZ2/πDZ3) and FST based on the top 5%. (c) The selective signals for parameter combinations of the π ratio (πTRM/πDZ3) and FST based on the top 5%. (d) The selective signals for parameter combinations of the π ratio (πCR/πDZ3) and FST based on the top 5%. The scatter plot represents the position of the coordinate plane determined by the values of two indicators.
Figure 9. (a) The selective signals for parameter combinations of the π ratio (πDZ1/πDZ3) and FST based on the top 5%. (b) The selective signals for parameter combinations of the π ratio (πDZ2/πDZ3) and FST based on the top 5%. (c) The selective signals for parameter combinations of the π ratio (πTRM/πDZ3) and FST based on the top 5%. (d) The selective signals for parameter combinations of the π ratio (πCR/πDZ3) and FST based on the top 5%. The scatter plot represents the position of the coordinate plane determined by the values of two indicators.
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Animals 14 01047 g010
Figure 10. Venn diagram showing the number of overlapping candidate genes between DZ3 and the other groups. DZ1-DZ3: The selected genes were identified by FST and π ratio analyses in the DZ3 using DZ1 as the control groups. DZ2-DZ3: The selected genes were identified by FST and π ratio analyses in the DZ3 using DZ2 as the control groups. TRM-DZ3: The selected genes were identified by FST and π ratio analyses in the DZ3 using TRM as the control groups. CR-DZ3: The selected genes were identified by FST and π ratio analyses in the DZ3 using CR as the control groups.
Figure 10. Venn diagram showing the number of overlapping candidate genes between DZ3 and the other groups. DZ1-DZ3: The selected genes were identified by FST and π ratio analyses in the DZ3 using DZ1 as the control groups. DZ2-DZ3: The selected genes were identified by FST and π ratio analyses in the DZ3 using DZ2 as the control groups. TRM-DZ3: The selected genes were identified by FST and π ratio analyses in the DZ3 using TRM as the control groups. CR-DZ3: The selected genes were identified by FST and π ratio analyses in the DZ3 using CR as the control groups.
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Animals 14 01047 g011
Figure 11. Manhattan plot of the genome-wide association analysis for the crest trait in pigeons. The x-axis shows the physical position of the SNPs by chromosome, and the y-axis shows −log10 (p values). The red dotted line indicates a highly significant genome-wide association (p < 0.01) according to the Bonferroni correction. The blue dotted line indicates a significant genome-wide association (p < 0.05) according to the Bonferroni correction.
Figure 11. Manhattan plot of the genome-wide association analysis for the crest trait in pigeons. The x-axis shows the physical position of the SNPs by chromosome, and the y-axis shows −log10 (p values). The red dotted line indicates a highly significant genome-wide association (p < 0.01) according to the Bonferroni correction. The blue dotted line indicates a significant genome-wide association (p < 0.05) according to the Bonferroni correction.
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Animals 14 01047 g012
Figure 12. Manhattan plot of the genome-wide association analysis for the polydactyly trait in pigeons. The x-axis shows the physical position of the SNPs by chromosome, and the y-axis shows −log10 (p values). The red dotted line indicates a highly significant genome-wide association (p < 0.01) according to the Bonferroni correction. The blue dotted line indicates a significant genome-wide association (p < 0.05) according to the Bonferroni correction.
Figure 12. Manhattan plot of the genome-wide association analysis for the polydactyly trait in pigeons. The x-axis shows the physical position of the SNPs by chromosome, and the y-axis shows −log10 (p values). The red dotted line indicates a highly significant genome-wide association (p < 0.01) according to the Bonferroni correction. The blue dotted line indicates a significant genome-wide association (p < 0.05) according to the Bonferroni correction.
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Table 1. Summary of sequencing and short read alignment results.
Table 1. Summary of sequencing and short read alignment results.
SampleNRaw Data (G)Clean Data (G)Mapping Rate (%)Sequence Depth (x)
DZ3318.26 17.71 97.60 17.16
TRM917.74 17.18 97.77 16.64
CR1116.27 15.80 97.63 15.30
Table 2. Functional annotation of the detected SNPs and InDels.
Table 2. Functional annotation of the detected SNPs and InDels.
DZTRMCR
SNPTotal number of SNPs11,578,45211,866,34612,516,118
Intergenic6,424,3316,593,4636,939,604
Intronic4,591,3304,697,6974,966,006
Exonic24,17924,45626,186
Non-synonymous42,85542,59946,243
Stop gain385332386
Stop loss464958
Synonymous91,58393,84599,427
Upstream135,942139,623147,456
Downstream134,886137,653145,885
UTR84,39686,49092,215
Splicing491434469
ncRNA48,02849,70552,183
InDelTotal number of InDels835,848846,354879,372
Intergenic456,527462,451478,820
Intronic344,699349,138364,232
Exonic348347348
Non-synonymous626640665
Stop gain121213
Stop loss212
Synonymous545556577
Upstream10,64110,67611,073
Downstream12,13412,17312,694
UTR652865816971
Splicing171178187
ncRNA361536013790
Table 3. The information of the SNPs significantly correlated with the crest trait.
Table 3. The information of the SNPs significantly correlated with the crest trait.
SNPChrLocationMutationp
SNP1AKCR02000002.1505029T>G4.7727 × 10−11
SNP2AKCR02000006.133844338G>A1.1403 × 10−10
SNP3AKCR02000006.133896741C>T1.0102 × 10−10
SNP4AKCR02000006.133898464G>A9.6488 × 10−14
SNP5AKCR02000006.133898620C>T9.6488 × 10−14
SNP6AKCR02000006.133901426C>A2.6008 × 10−14
Table 4. The association analysis between the SNPs in the candidate genes and polydactyly.
Table 4. The association analysis between the SNPs in the candidate genes and polydactyly.
GeneSNPpGenotypePhenotype
SLC52A3exon1:c.222G>A1.2529 × 10−13GGnon-polydactyly
GAnon-polydactyly
AApolydactyly
ANGPT45’UTR:c.-169G>A1.2529 × 10−13GGnon-polydactyly
GAnon-polydactyly
AApolydactyly
exon5:c.786G>A1.2529 × 10−13GGnon-polydactyly
GAnon-polydactyly
AApolydactyly
exon8:c.1172T>C1.2529 × 10−13TTnon-polydactyly
TCnon-polydactyly
CCpolydactyly
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Zhang, R.; Mu, C.; Chang, L.; Shen, X.; Bu, Z.; Yang, M.; Fu, S.; Tang, Q.; Liu, P.; Yang, X. Whole-Genome Sequencing for Identifying Candidate Genes Related to the Special Phenotypes of the Taihu Dianzi Pigeon. Animals 2024, 14, 1047. https://doi.org/10.3390/ani14071047

AMA Style

Zhang R, Mu C, Chang L, Shen X, Bu Z, Yang M, Fu S, Tang Q, Liu P, Yang X. Whole-Genome Sequencing for Identifying Candidate Genes Related to the Special Phenotypes of the Taihu Dianzi Pigeon. Animals. 2024; 14(7):1047. https://doi.org/10.3390/ani14071047

Chicago/Turabian Style

Zhang, Rui, Chunyu Mu, Lingling Chang, Xinyue Shen, Zhu Bu, Mingjun Yang, Shengyong Fu, Qingping Tang, Peiyao Liu, and Xiaoming Yang. 2024. "Whole-Genome Sequencing for Identifying Candidate Genes Related to the Special Phenotypes of the Taihu Dianzi Pigeon" Animals 14, no. 7: 1047. https://doi.org/10.3390/ani14071047

APA Style

Zhang, R., Mu, C., Chang, L., Shen, X., Bu, Z., Yang, M., Fu, S., Tang, Q., Liu, P., & Yang, X. (2024). Whole-Genome Sequencing for Identifying Candidate Genes Related to the Special Phenotypes of the Taihu Dianzi Pigeon. Animals, 14(7), 1047. https://doi.org/10.3390/ani14071047

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