Next Article in Journal
Occurrence and Risk Factors Associated with Platynosomum illiciens Infection in Cats with Elevated Liver Enzymes
Previous Article in Journal
Strain-Specific Benefits of Bacillus Probiotics in Hybrid Grouper: Growth Enhancement, Metabolic Health, Immune Modulation, and Vibrio harveyi Resistance
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Comparative Genomics Reveal Phylogenetic Relationship and Chromosomal Evolutionary Events of Eight Cervidae Species

State Key Laboratory for Molecular Biology of Special Economic Animals, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun 130112, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Animals 2024, 14(7), 1063; https://doi.org/10.3390/ani14071063
Submission received: 26 February 2024 / Revised: 25 March 2024 / Accepted: 27 March 2024 / Published: 30 March 2024
(This article belongs to the Section Small Ruminants)

Abstract

:

Simple Summary

Cervidae represents a substantial family within the Artiodactyla, yet their phylogenetic relationship has not been fully clarified due to limited data available. With the increasing availability of genomic data, there is now an opportunity to further explore their phylogenetic relationship. In our study, we employed a comparative genomics approach focusing on the chromosome-level genomes of eight Cervidae species to explore their phylogenetic relationship and chromosomal evolutionary events. Furthermore, we conducted an analysis of gene families to identify those potentially involved in adaptive evolution.

Abstract

Cervidae represents a family that is not only rich in species diversity but also exhibits a wide range of karyotypes. The controversies regarding the phylogeny and classification of Cervidae still persist. The flourishing development of the genomic era has made it possible to address these issues at the genomic level. Here, the genomes of nine species were used to explore the phylogeny and chromosomal evolutionary events of Cervidae. By conducting whole-genome comparisons, we identified single-copy orthologous genes across the nine species and constructed a phylogenetic tree based on the single-copy orthologous genes sequences, providing new insights into the phylogeny of Cervidae, particularly the phylogenetic relationship among sika deer, red deer, wapiti and Tarim red deer. Gene family analysis revealed contractions in the olfactory receptor gene family and expansions in the histone gene family across eight Cervidae species. Furthermore, synteny analysis was used to explore the chromosomal evolutionary events of Cervidae species, revealing six chromosomal fissions during the evolutionary process from Bovidae to Cervidae. Notably, specific chromosomal fusion events were found in four species of Cervus, and a unique chromosomal fusion event was identified in Muntiacus reevesi. Our study further completed the phylogenetic relationship within the Cervidae and demonstrated the feasibility of inferring species phylogeny at the whole-genome level. Additionally, our findings on gene family evolution and the chromosomal evolutionary events in eight Cervidae species lay a foundation for comprehensive research of the evolution of Cervidae.

1. Introduction

Cervidae is one family of artiodactyls with abundant species [1]. The wide geographical distribution, diverse body size and habitats make the identification of phylogenetic relationships difficult. The phylogeny of Cervidae has been extensively studied, including morphology, mitochondrial genomes and mitochondrial marker sequences [2,3,4]. The consensus for phylogeny of Cervidae can only be partially reached.
Sika deer (Cervus nippon Temminck, 1838) and red deer (Cervus elaphus Linnaeus, 1758) within Cervus are closely related in term of evolutionary relationship, yet their phylogenetic relationship has been controversial. Studies based on mitochondrial genomes have classified red deer (Cervus elaphus) [5], Tarim red deer (Cervus hanglu) [6] and wapiti (Cervus canadensis) [7] as three separate species [8]. The latest classification has provided a basis for a more accurate study of the phylogenetic relationship between sika deer (Cervus nippon Temminck,1838) and red deer (Cervus elaphus Linnaeus, 1758) as well as the phylogenetic relationship among red deer (Cervus elaphus), wapiti (Cervus canadensis) and Tarim red deer (Cervus hanglu). Mitochondrial genome studies have indicated that there are western and eastern mtDNA lineages, with red deer and Tarim red deer in the western lineage, with wapiti in the eastern lineage and closely related to sika deer [9,10]. However, there is research that suggests that wapiti belong to the eastern lineage and are closely related to sika deer, while red deer belong to the western lineage. Additionally, the Tarim red deer is a separate lineage, showing a closer association with the red deer, indicating that wapiti and sika deer may have a common ancestor that is separated from red deer [11]. These studies based on mitochondrial genomes and mitochondrial marker sequences cannot provide a uniform conclusion on the phylogeny of Cervus.
The karyotypes of Cervidae exhibit significant diversity in diploid chromosome number (2n = 6–70) [12], indicating abundant chromosomal evolution events of Cervidae species. With the vigorous development of sequencing technology, an increasing number of species now possess chromosome-level genomes, enabling the exploration of chromosome evolution at the genomic level [13,14,15,16]. Comparative genomics is extensively utilized to explore evolutionary relationships and chromosome evolution among different species and large populations [17,18]. In this study, we utilize a comparative genomic approach, focusing on eight high-quality genomes of Cervidae, to explore the phylogenetic relationship at the genomic level. Additionally, our aim is to leverage chromosome-level genomes to elucidate the chromosomal evolutionary events of Cervidae.

2. Materials and Methods

2.1. Genome Data

The genome assemblies of nine mammalian species were used in this study and these chromosome-level genomes were downloaded from NCBI (https://www.ncbi.nlm.nih.gov/assembly (accessed on 12 December 2022)) and NGDC (https://ngdc.cncb.ac.cn/gwh/ (accessed on 12 December 2022)) (Table 1). There were eight species of Cervidae included, including sika deer (Cervus nippon, mhl_v1.0), red deer (Cervus elaphus, mCerEla1.1), Tarim red deer (in press), wapiti (Cervus canadensis, ASM1932006v1), reindeer (Rangifer tarandus, mRanTar1.h1.1), white-tailed deer (Odocoileus virginianus, Ovir.te_1.0), Reeves’ muntjac (Muntiacus reevesi, ASM2022604v1) and red muntjac (Muntiacus muntjac, UCB_Mmun_1.0). In addition, cattle (Bos taurus, ARS-UCD2.0) was used as the outgroup.

2.2. Phylogenetic Analysis

The phylogenetic tree was constructed using single-copy orthologous gene sequences. OrthoFinder v2.5.4 [19] was used to identify single-copy orthologous genes. SeqKit v0.15.0 [20] was used to extract the CDS of single-copy orthologous genes from the genomes of nine species. MUSCLE v3.8.31 [21] was used for aligning the CDS of single-copy orthologous genes. In order to ensure the sequences of different species remained in the same order in the files after aligning, SeqKit v0.15.0 was used to sort the aligned sequences. Finally, the sorted sequences were spliced manually, trimmed using TrimAl v1.2 [22] and converted to PHYLIP format. The phylogenetic tree was constructed using RAxML- v8.2.12 [23] with the GTRCAT model and cattle serving as the outgroup.
Table 1. The genomic information of nine species used in our study.
Table 1. The genomic information of nine species used in our study.
Subfamily or TribeSpeciesGenome Size (Mb)Scaffold N50 (Mb)Haploid Karyotype
CerviniSika deer [24]
(Cervus nippon)
2500.6478,786,80932 + X
Red deer [25]
(Cervus elaphus)
2886.6083,473,71133 + X
Tarim red deer (in press)
(Cervus hanglu)
2520.8776.801.78633 + X
Wapiti [26]
(Cervus canadensis)
2526.6177,654,94433 + XY
CapreolinaeReindeer
(Rangifer tarandus)
2971.1569,829,20034 + XY
White-tailed deer [27]
(Odocoileus virginianus)
2380.49--
MuntiaciniReeves’ muntjac [28]
(Muntiacus reevesi)
2494.01113,316,57922 + X
Red muntjac [29]
(Muntiacus muntjak)
2489.50682,452,2082 + X
BovinaeCattle [30]
(Bos taurus)
2770.67103,308,73729 + XY
The genome of white-tailed deer is not at the chromosome level.

2.3. Divergence Time Estimation

Three calibration time points, namely Bovidae vs. Cervidae (18.5~27.8 Mya), reindeer vs. white-tailed deer (5.6~11.4 Mya) and Reeves’ muntjac vs. red muntjac (2.5~9 Mya) were chosen from TIMETREE (http://timetree.org/ (accessed on 5 May 2023)) [31]. The adjusted calibration time points were 23.7 Mya, 7.8 Mya and 4.94 Mya, respectively. The adjusted calibration time points were used to estimate the evolutionary rates of single-copy gene sequences of eight species by MCMCtree in PAML v8.2.12 [32]. The divergence times of eight Cervidae species were estimated using the evolutionary rates and the phylogenetic tree we obtained.

2.4. Evolution of Gene Families

Gene family expansion and contraction were performed using CAFE v5.0 [33]. The gene families were identified using OrthoFinder v2.5.4 and gene families with large copy number differences between different species were eliminated. The phylogenetic tree with time-calibrated was used as the input data. The expanded/contracted gene family with a p-value ≤ 0.01 was defined as a “significantly expanded/contracted gene family”.

2.5. Chromosome Evolution

To identify synteny blocks among the chromosome-level genomes of eight species, the All-vs.-All blastp with e-value < e × 10−5 was conducted for protein genomes of each genome pair. The synteny blocks were scanned using MCScanX [34] with default settings except for “gap_penalty -3”. The chromosome-scale syntenies between species were visualized by NGenomeSyn v1.41 [35].

2.6. Gene Enrichment Analysis

To further elucidate the biological functions of significantly contracted and expanded genes in eight Cervidae species, functional enrichment analyses were performed. The gene annotations for GO [36] and KEGG [37] were accomplished using Swiss-Prot (https://ftp.uniprot.org/pub/databases/uniprot/current_release/knowledgebase/complete/uniprot_sprot.fasta.gz, accessed on 24 February 2024) and KOBAS v3.0. The enrichment analyses were performed using clusterProfiler v4.8.2 [38].

3. Results and Discussions

3.1. Phylogenetic Analysis

The available genome data for eight Cervidae species were downloaded for phylogenetic analysis, with cattle serving as an outgroup (Table 1). A phylogenetic tree was constructed with 2480 single-copy orthologous genes from nine species (Figure 1a, Figure S1). The relationship of these species can be seen in that the Cervidae are divided into two main branches: one is the Capreolinae, and the other is Cervinae, which contains two tribes, the Muntiacini and Cervini. Previous studies on the phylogeny of Cervidae based on morphology, mitochondrial genomes and mitochondrial marker sequences have consistently classified the family mainly into two subfamilies, Capreolinae and Cervinae, corresponding to Telemetacarpalia and Plesiometacarpalia, respectively [39]. In our study, we conducted phylogenetic analysis using the whole genomes of eight Cervidae species. Although our samples are relatively limited, we have to cover as many individuals from each subfamily of the Cervidae as possible in our selection. These are the genomes of Cervidae that are currently available. Moreover, our phylogeny result of Cervidae is consistent with previous research [9,40]. While there may be limitations in using individuals instead of populations, the findings of our study are generally in line with those of population-based studies [41,42]. This is because whole genomes contain a significant amount of genetic information, which is sufficient to reflect the evolutionary relationship between species. Additionally, the genomic differences between individuals can also indicate the genetic diversity within a population, providing a reliable foundation for studying the evolutionary relationship between species. Indeed, research conducted on various species has validated the efficacy of utilizing individual genomes to uncover evolutionary relationships [43,44].
Notably, the four species in Cervus include red deer, Tarim red deer, wapiti and sika deer. It can be observed from the phylogenetic tree that the Tarim red deer shares a branch with the sika deer, while the red deer and wapiti form another branch. Tarim red deer is more closely related to sika deer than to red deer and wapiti. The evolutionary relationship among sika deer, wapiti, Tarim red deer and red deer have been controversial [8,11,45]. Previous studies based on complete mitochondrial genomes have generally suggested that wapiti are more closely related to sika deer than to red deer and Tarim red deer [8,9,46]. However, our study, which utilized single-copy orthologous genes to construct the phylogenetic tree, indicates that Tarim red deer are more closely related to sika deer than to red deer and wapiti. This discrepancy in results may be attributed to the limitations of mitochondrial genome analysis, which only represents maternal inheritance. In contrast, our study utilizes the whole genome sequence, encompassing a vast number of nuclear and cytoplasmic genes that have undergone distinct evolutionary processes [47]. Additionally, the whole-genome single-copy orthologous genes are widely used in the study of phylogenetic relationships among species [48,49]. By considering these factors, the evolutionary relationships between species can be more accurately revealed using whole-genome data [50].

3.2. Divergence Time Estimating

Divergence times were estimated using MCMCtree in PAML v4.8 [32]. The common ancestor of Cervidae and Bovidae is identified about 21.2 million years ago. Capreolinae separated from Cervidae about 14.2 million years ago. The divergence time between Muntiacini and Cervini was around 12.57 million years. The four species in Cervus were divided into two branches, with the divergence from a common ancestor of the two branches occurring approximately 3.35 million years ago. The divergence time between Tarim red deer and sika deer was around 3.1 million years and the divergence time between red deer and wapiti was around 1.9 million years (Figure S2).
The divergence times of each subfamily of Cervidae obtained in our study are different from those previously obtained based on mitochondrial genomes and mitochondrial makers [8,9]. This difference disparity can be attributed to the types of data used [51], estimation methods employed [52] and the choice of fossil calibration points [53]. All of these factors have an impact on the estimation of species divergence time. The method used in this study for estimating divergence time has been widely used to estimate species divergence time based on whole-genome data [54,55,56]. Additionally, the fossil calibration points used to estimate the divergence time were obtained from TIMETREE (http://timetree.org/ (accessed on 5 May 2023)) [57], which is also used for many other species to obtain fossil calibration points [58]. To sum up, the differences of divergence time in our study are within reasonable limits.

3.3. Gene Family Evolution

There are 28,003 orthogroups (gene family clusters) that were identified by OrthoFinder v 2.5.4 [19], of which 26,348 comprised two or more species (Table S1) and 12,978 were present in all species (Figure 1b, Table S2). Among these, 2480 orthogroups consisted entirely of single-copy genes with a one-to-one relationship in different genomes (Table S3). Additionally, the species-specific orthogroups of the eight species were also identified (Table S4). To understand adaptive evolution gene families among the eight species of Cervidae, an analysis of gene family evolution was performed using CAFE v5.0 [33] (Figure 1a). The number of significant contracted and expanded gene families (p < 0.05) in these species were counted (Table 2). Furthermore, we performed GO [59] and KEGG analysis [60] to explore the function involved in significantly contracted and expanded gene families.
The expansion and contraction of gene families are common phenomena in the genome evolution of species and play an important role in speciation, adaptation and genome stability [61,62]. Our results showed that the significant contracted gene family among eight Cervidae species is the olfactory receptor family, which involves biological functions and signaling pathways including odorant binding (GO:0005549, p < 0.01), sensory perception of smell (GO:0007608, p < 0.01) and olfactory transduction (ko04740, p < 0.01) (Table S5). In mammalian species, the olfactory system plays a crucial role in mate detection [63], risk avoidance [64] and other survival functions. However, the number of olfactory receptors changes as species adapt to the environment [65]. The significant contraction of olfactory receptors in eight Cervidae species may be attributed to the habitat destruction and habitat fragmentation as well as increasing domestication that led to stable and single living environments [66,67]. Additionally, artificial interference in their search for mates and foraging may also contribute to the loss of olfactory receptor genes [68,69]. The adaptation of Cervidae to the changed environment results in the contraction of olfactory receptors. A previous study also confirmed the adaptive evolution of olfactory-related genes in Cervidae species [70].
The significant expanded gene family is the histone gene family (H2A, H2B, H3 and H4), which involves biological functions and signaling pathways including structural constituent of chromatin (GO:0030527, p < 0.01) and nucleosome (GO:0000786, p < 0.01) (Table S6). Histones are highly conserved in mammals and play a central role in transcription regulation, DNA repair, DNA replication and chromosomal stability through acetylation, phosphorylation, methylation and ubiquitination [71].
The specific expansion gene family of sika deer is the keratin gene family (KRTHB2, KRTHB4, KRTHB1, KRTHB3), which involves biological functions and signaling pathways including structural constituent of skin epidermis (GO:0030280, p < 0.01) and keratinization (GO:0031424, p < 0.01). In mammals, keratins are key components of the cytoskeleton, providing mechanical stability to the epidermis. Their role is crucial for the skin as a barrier against the external environment [72]. The keratin gene family has been found to be related not only to animal hair color but also to animals’ ability of maintain body temperature [73,74]. Comparative genomics studies of terrestrial and whole-aquatic mammals have found that the number of keratin gene families in animals living in different environments changes in order to adapt to the environment [75]. Sika deer are primarily distributed in the cold environment of northeastern China [68]. The significant expansion of this gene family may be associated with the evolutionary adaptation to the cold environment.

3.4. Chromosome Evolution of Cervidae

The chromosome evolution events occurring in eight species of Cervidae (Rangifer tarandus (RTA), Cervus nippon (CNI), Cervus elaphus yarkandensis (CELY), Cervus canadensis (CCA), Cervus elaphus (CEL), Muntiacus reevesi (MRE), Muntiacus muntjak (MMU)) were assessed. To discuss chromosome dynamics of these species, Bos taurus (BTA) was used as a reference and the species’ order of chromosome collinearity corresponded to the position in the phylogenetic tree in Section 3.1. Corresponding chromosomes and chromosome evolution events can be easily traced in Figure 2.
According to the previous report, the segments of the last common ancestor of Cervidae and Bos taurus correspond to the two cattle chromosomes BTA26 and BTA28 [76]. The two chromosomes were fused and presented as a single chromosome in Cervidae (BTA26 and BTA28 → RTA7 → CNI9 →CELY9→ CCA8→ CEL15 → MRE chr2 → MMU chr2) (Table S7).
Karyotypes of Capreolinae are conserved and predominantly represented by an ancestral karyotype (2n = 70) [12]. Reindeer, closely related to the ancestral karyotype of Cervidae, has retained the karyotype (2n = 70). From the collinearity result of Bos taurus and Rangifer tarandus, we can see that twelve chromosomes of reindeer arose by fission of six cattle chromosomes (BTA1 → RTA5 and RTA29; BTA5 → RTA25 and RTA27; BTA2 → RTA13 and RTA24; BTA8 → RTA18 and RTA30; BTA9 → RTA22 and RTA34; BTA6 → RTA17 and RTA32) (Table S8).
The chromosomal collinearity of BTA17 and BTA19 correspond to RTA15 and RTA21. However, in four species of Cervus, two chromosomes fused as a chromosome (BTA17 and BTA19 → CNI2 → CELY2 → CCA1 → CEL5) (Table S9); this fusion is unique in the Cervus lineage.
Among the four species in Cervus, the chromosome number of Cervus elaphus (CEL), Cervus elaphus yarkandensis (CELY) and Cervus canadensis (CCA) is 2n = 68, while Cervus nippon (CNI) has a chromosome number of 2n = 66. The collinearity results show that one chromosome of Cervus nippon corresponds to two chromosomes of the other three species (CNI1 → CELY18 and CELY11 → CCA18 and CCA10 → CEL4 and CEL23) (Table S10). However, it is currently uncertain in our study whether the chromosomal evolutionary event among the four species is chromosome fission or chromosome fusion. Nevertheless, some studies suggested that the chromosomal evolutionary pattern between sika deer and red deer was chromosome fission, which means the divergence time of sika deer is earlier than that of red deer [77]. And a study based on cytogenetics has suggested that chromosome fusion played a great role in karyotypic differentiation in Cervinae [78]. It is necessary to obtain as much chromosome-level genome data as possible and combine them with cytogenetic data to revolve the chromosomal evolutionary events of Cervus.
Species of Muntiacini exhibit remarkable variations in their chromosomal karyotypes, particularly in terms of the number of chromosomes. These variations range from 2n = 6 in the female Muntiacus muntjak to 2n = 46 in the Muntiacus reevesi. Previous research has suggested that Muntiacus reevesi is the more primitive species within the Muntiacini [79,80]. Chromosome fusion and fusion were considered to be the major chromosomal evolutionary events of Muntiacini [79,81,82]. However, our study found a specific fusion of Muntiacus reevesi (BTA29 and BTA16 → RTA26 and RTA9 → CNI28 and CNI13 → CELY29 and CELY14 → CCA29 and CCA3 → CEL2 and CEL14→ MRE5 → MMU1 and MMU3X) (Table S11). Furthermore, our result indicated that the chromosomal evolutionary events in Muntiacus reevesi and Muntiacus muntjak were mainly chromosome fusion, which is consistent with previous studies [28,29,83].

4. Conclusions

Overall, our study, using eight high-quality genomes of Cervidae as research objects, provides new insights into the phylogeny of Cervidae, particularly the phylogenetic relationships among sika deer, red deer, wapiti and Tarim red deer. Meanwhile, we preliminarily explored the chromosomal evolutionary events of the eight Cervidae species. Gene family evolution analysis revealed that olfactory receptor gene family has contracted, while the histone gene family has expanded in eight Cervidae species. This study demonstrates the feasibility of resolving phylogenetic problems using whole genomes. To more comprehensively explore the phylogenetic relationships and the chromosomal evolutionary events of Cervidae, the chromosome-level genomes of Cervidae will be needed. On the basis of cytogenetic studies, future research will focus on understanding the characteristics of chromosomal evolutionary events in genome sequences and their impacts on genomes.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ani14071063/s1, Figure S1: Phylogenetic tree with bootstrap value; Figure S2: Phylogenetic tree with divergence time; Table S1: Orthogroups comprising two or more species; Table S2: Orthogroups comprising two or more species; Table S3: Single-copy gene orthogroups; Table S4: Species-specific orthogroups; Table S5: The significant contracted olfactory receptor family in eight species of Cervidae; Table S6: The significant expanded histone gene family in eight species of Cervidae; Table S7: Locations of the chromosomal fusion in Cervidae relative to the Bos taurus genome; Table S8: Locations of six chromosomal fissions of Rangifer tarandus relative to the Bos taurus genome; Table S9: Locations of the chromosomal fusion in Cervus relative to the Bos taurus genome; Table S10: Locations of the chromosomal fissions relative to the Cervus nippon genome; Table S11: Locations of a specific fusion relative to the Muntiacus reevesi genome.

Author Contributions

Conceptualization, X.X.; methodology, L.T. and S.D.; software; L.T. and S.D.; formal analysis, S.D.; investigation, X.X.; resources, L.T.; data curation, S.D.; writing—original draft preparation, L.T.; writing—review and editing, X.X.; visualization, S.D.; supervision, X.X.; project administration, X.X.; funding acquisition, X.X. All authors have read and agreed to the published version of the manuscript.

Funding

The APC was funded by Agricultural Science and Technology Innovation Program, CAAS (CAAS-ASTIP-2023-ISAPS).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are contained within the article and Supplementary Materials.

Acknowledgments

We express our gratitude towards the reviewers for taking the time to process this manuscript.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

NCBINational Center for Biotechnology Information
NGDCNational Genomics Data Center
GOGene Ontology
KEGGKyoto Encyclopedia of Genes and Genomes
CDS Coding sequence
mtDNAMitochondrial DNA

References

  1. Geist, V. Deer of the World: Their Evolution, Behavior, and Ecology. J. Wildl. Manag. 2000, 64, 606. [Google Scholar]
  2. Zhang, W.Q.; Zhang, M.H. Phylogeny and evolution of Cervidae based on complete mitochondrial genomes. Genet. Mol. Res. 2012, 11, 628–635. [Google Scholar] [CrossRef] [PubMed]
  3. Gilbert, C.; Ropiquet, A.; Hassanin, A. Mitochondrial and nuclear phylogenies of Cervidae (Mammalia, Ruminantia): Systematics, morphology, and biogeography. Mol. Phylogenet. Evol. 2006, 40, 101–117. [Google Scholar] [CrossRef] [PubMed]
  4. Wada, K.; Nishibori, M.; Yokohama, M. The complete nucleotide sequence of mitochondrial genome in the Japanese Sika deer (Cervus nippon), and a phylogenetic analysis between Cervidae and Bovidae. Small Rumin. Res. 2007, 69, 46–54. [Google Scholar] [CrossRef]
  5. Lovari, S.; Lorenzini, R.; Masseti, M.; Pereladova, O.; Carden, R.F.; Brook, S.M.; Mattioli, S. Cervus elaphus (errata version published in 2019). In The IUCN Red List of Threatened Species; International Union for Conservation of Nature: Gland, Switzerland, 2018; p. e.T55997072A142404453. [Google Scholar] [CrossRef]
  6. Brook, S.M.; Donnithorne-Tait, D.; Lorenzini, R.; Lovari, S.; Masseti, M.; Pereladova, O.; Ahmad, K.; Thakur, M. Cervus hanglu (amended version of 2017 assessment). In The IUCN Red List of Threatened Species; International Union for Conservation of Nature: Gland, Switzerland, 2017; p. e.T4261A120733024. [Google Scholar] [CrossRef]
  7. Brook, S.M.; Pluháček, J.; Lorenzini, R.; Lovari, S.; Masseti, M.; Pereladova, O.; Mattioli, S. Cervus canadensis (errata version published in 2019). In The IUCN Red List of Threatened Species; International Union for Conservation of Nature: Gland, Switzerland, 2018; p. e.T55997823A142396828. [Google Scholar] [CrossRef]
  8. Lorenzini, R.; Garofalo, L. Insights into the evolutionary history of Cervus (Cervidae, tribe Cervini) based on Bayesian analysis of mitochondrial marker sequences, with first indications for a new species. J. Zool. Syst. Evol. Res. 2015, 53, 340–349. [Google Scholar] [CrossRef]
  9. Mackiewicz, P.; Matosiuk, M.; Świsłocka, M.; Zachos, F.E.; Hajji, G.M.; Saveljev, A.P.; Seryodkin, I.V.; Farahvash, T.; Rezaei, H.R.; Torshizi, R.V.; et al. Phylogeny and evolution of the genus Cervus (Cervidae, Mammalia) as revealed by complete mitochondrial genomes. Sci. Rep. 2022, 12, 16381. [Google Scholar] [CrossRef] [PubMed]
  10. Kuwayama, R.; Ozawa, T. Phylogenetic relationships among european red deer, wapiti, and sika deer inferred from mitochondrial DNA sequences. Mol. Phylogenet. Evol. 2000, 15, 115–123. [Google Scholar] [CrossRef]
  11. Ludt, C.J.; Schroeder, W.; Rottmann, O.; Kuehn, R. Mitochondrial DNA phylogeography of red deer (Cervus elaphus). Mol. Phylogenet. Evol. 2004, 31, 1064–1083. [Google Scholar] [CrossRef] [PubMed]
  12. Fontana, F.; Rubini, M. Chromosomal evolution in Cervidae. Biosystems 1990, 24, 157–174. [Google Scholar] [CrossRef]
  13. Hu, X.; Jiang, Z.; Ming, Y.; Jian, J.; Jiang, S.; Zhang, D.; Zhang, J.; Zheng, S.; Fang, X.; Yang, Y. A chromosomal level genome sequence for Quasipaa spinosa (Dicroglossidae) reveals chromosomal evolution and population diversity. Mol. Ecol. Resour. 2021, 22, 1545–1558. [Google Scholar] [CrossRef]
  14. Hk, L.; Nsvall, K.; Vila, R.; Wiklund, C.; Backstrm, N. High-density linkage maps and chromosome level genome assemblies unveil direction and frequency of extensive structural rearrangements in wood white butterflies (Leptidea spp.). Chromosome Res. 2023, 31, 2. [Google Scholar] [CrossRef] [PubMed]
  15. Yamabe, T.; Kajitani, R.; Toyoda, A.; Itoh, T. Chromosomal-level Genome Assembly of the Coffee Bee Hawk Moth Reveals the Evolution of Chromosomes and the Molecular Basis of Distinct Phenotypes. Genome Biol. Evol. 2023, 15, evad141. [Google Scholar] [CrossRef] [PubMed]
  16. Zhang, Y.; Gao, H.; Li, H.; Guo, J.; Ouyang, B.; Wang, M.; Xu, Q.; Wang, J.; Lv, M.; Guo, X.; et al. The White-Spotted Bamboo Shark Genome Reveals Chromosome Rearrangements and Fast-Evolving Immune Genes of Cartilaginous Fish. iScience 2020, 23, 101754. [Google Scholar] [CrossRef] [PubMed]
  17. Zhang, G.; Li, C.; Li, Q.; Li, B.; Larkin, D.M.; Lee, C.; Storz, J.F.; Antunes, A.; Greenwold, M.J.; Meredith, R.W.; et al. Comparative genomics reveals insights into avian genome evolution and adaptation. Science 2014, 346, 1311–1320. [Google Scholar] [CrossRef] [PubMed]
  18. Zhang, Y.H.; Ravi, V.; Qin, G.; Dai, H.; Zhang, H.X.; Han, F.M.; Wang, X.; Liu, Y.H.; Yin, J.P.; Huang, L.M.; et al. Comparative genomics reveal shared genomic changes in syngnathid fishes and signatures of genetic convergence with placental mammals. Natl. Sci. Rev. 2020, 7, 964–977. [Google Scholar] [CrossRef] [PubMed]
  19. Emms, D.M.; Kelly, S. OrthoFinder: Phylogenetic orthology inference for comparative genomics. Genome Biol. 2019, 20, 238. [Google Scholar] [CrossRef] [PubMed]
  20. Shen, W.; Le, S.; Li, Y.; Hu, F. SeqKit: A Cross-Platform and Ultrafast Toolkit for FASTA/Q File Manipulation. PLoS ONE 2016, 11, e0163962. [Google Scholar] [CrossRef]
  21. Edgar, R.C. MUSCLE v5 enables improved estimates of phylogenetic tree confidence by ensemble bootstrapping. bioRxiv 2021. [Google Scholar] [CrossRef]
  22. Capella-Gutiérrez, S.; Silla-Martínez, J.M.; Gabaldón, T. trimAl: A tool for automated alignment trimming in large-scale phylogenetic analyses. Bioinformatics 2009, 25, 1972–1973. [Google Scholar] [CrossRef]
  23. Stamatakis, A. RAxML version 8: A tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 2014, 30, 1312–1313. [Google Scholar] [CrossRef]
  24. Xing, X.; Ai, C.; Wang, T.; Li, Y.; Liu, H.; Hu, P.; Wang, G.; Liu, H.; Wang, H.; Zhang, R.; et al. The First High-quality Reference Genome of Sika Deer Provides Insights into High-tannin Adaptation. Genom. Proteom. Bioinform. 2023, 21, 203–215. [Google Scholar] [CrossRef]
  25. Bana, N.; Nyiri, A.; Nagy, J.; Frank, K.; Nagy, T.; Stéger, V.; Schiller, M.; Lakatos, P.; Sugár, L.; Horn, P.; et al. The red deer Cervus elaphus genome CerEla1.0: Sequencing, annotating, genes, and chromosomes. Mol. Genet. Genom. 2018, 293, 665–684. [Google Scholar] [CrossRef] [PubMed]
  26. Masonbrink, R.E.; Alt, D.; Bayles, D.O.; Boggiatto, P.; Edwards, W.; Tatum, F.; Williams, J.; Wilson-Welder, J.; Zimin, A.; Severin, A.; et al. A pseudomolecule assembly of the Rocky Mountain elk genome. PLoS ONE 2021, 16, e0249899. [Google Scholar] [CrossRef]
  27. London, E.W.; Roca, A.L.; Novakofski, J.E.; Mateus-Pinilla, N.E. A De Novo Chromosome-Level Genome Assembly of the White-Tailed Deer, Odocoileus virginianus. J. Hered. 2022, 113, 479–489. [Google Scholar] [CrossRef]
  28. Yin, Y.; Fan, H.; Zhou, B.; Hu, Y.; Fan, G.; Wang, J.; Zhou, F.; Nie, W.; Zhang, C.; Liu, L.; et al. Molecular mechanisms and topological consequences of drastic chromosomal rearrangements of muntjac deer. Nat. Commun. 2021, 12, 6858. [Google Scholar] [CrossRef]
  29. Mudd, A.B.; Bredeson, J.V.; Baum, R.; Hockemeyer, D.; Rokhsar, D.S. Analysis of muntjac deer genome and chromatin architecture reveals rapid karyotype evolution. Commun. Biol. 2020, 3, 480. [Google Scholar] [CrossRef]
  30. Vanvanhossou, S.F.U.; Yin, T.; Scheper, C.; Fries, R.; Dossa, L.H.; König, S. Unraveling Admixture, Inbreeding, and Recent Selection Signatures in West African Indigenous Cattle Populations in Benin. Front. Genet. 2021, 12, 657282. [Google Scholar] [CrossRef] [PubMed]
  31. Kumar, S.; Stecher, G.; Suleski, M.; Hedges, S.B. TimeTree: A Resource for Timelines, Timetrees, and Divergence Times. Mol. Biol. Evol. 2017, 34, 1812–1819. [Google Scholar] [CrossRef] [PubMed]
  32. Yang, Z. PAML 4: Phylogenetic analysis by maximum likelihood. Mol. Biol. Evol. 2007, 24, 1586–1591. [Google Scholar] [CrossRef]
  33. Mendes, F.K.; Vanderpool, D.; Fulton, B.; Hahn, M.W. CAFE 5 models variation in evolutionary rates among gene families. Bioinformatics 2021, 36, 5516–5518. [Google Scholar] [CrossRef]
  34. Wang, Y.; Tang, H.; Debarry, J.D.; Tan, X.; Li, J.; Wang, X.; Lee, T.H.; Jin, H.; Marler, B.; Guo, H.; et al. MCScanX: A toolkit for detection and evolutionary analysis of gene synteny and collinearity. Nucleic Acids Res. 2012, 40, e49. [Google Scholar] [CrossRef] [PubMed]
  35. He, W.; Yang, J.; Jing, Y.; Xu, L.; Yu, K.; Fang, X. NGenomeSyn: An easy-to-use and flexible tool for publication-ready visualization of syntenic relationships across multiple genomes. Bioinformatics 2023, 39, btad121. [Google Scholar] [CrossRef] [PubMed]
  36. Harris, M.A.; Clark, J.; Ireland, A.; Lomax, J.; Ashburner, M.; Foulger, R.; Eilbeck, K.; Lewis, S.; Marshall, B.; Mungall, C.; et al. The Gene Ontology (GO) database and informatics resource. Nucleic Acids Res. 2004, 32, D258–D261. [Google Scholar] [CrossRef] [PubMed]
  37. Kanehisa, M.; Goto, S. KEGG: Kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 2000, 28, 27–30. [Google Scholar] [CrossRef] [PubMed]
  38. Yu, G.; Wang, L.G.; Han, Y.; He, Q.Y. clusterProfiler: An R package for comparing biological themes among gene clusters. Omics 2012, 16, 284–287. [Google Scholar] [CrossRef]
  39. Pitra, C.; Fickel, J.; Meijaard, E.; Groves, P.C. Evolution and phylogeny of old world deer. Mol. Phylogenet. Evol. 2004, 33, 880–895. [Google Scholar] [CrossRef] [PubMed]
  40. Heckeberg, N.S. The systematics of the Cervidae: A total evidence approach. PeerJ 2020, 8, e8114. [Google Scholar] [CrossRef] [PubMed]
  41. Randi, E.; Mucci, N.; Claro-Hergueta, F.; Bonnet, A.; Douzery, E.J.P. A mitochondrial DNA control region phylogeny of the Cervinae: Speciation in Cervus and implications for conservation. Anim. Conserv. 2010, 4, 1–11. [Google Scholar] [CrossRef]
  42. Chong-Zhen, Z.; Qing-Tao, Z.; Yuan-Huai, Q.; Yong, Y. Phylogenetic relationships among several genera in Drosophilidae deduced from mitochondrial cytochrome b gene partial sequence. J. Hubei Univ. (Nat. Sci. Ed.) 2004, 26, 344–349. [Google Scholar]
  43. Yuan, Y.; Zhang, Y.; Zhang, P.; Liu, C.; Wang, J.; Gao, H.; Hoelzel, A.R.; Seim, I.; Lv, M.; Lin, M.; et al. Comparative genomics provides insights into the aquatic adaptations of mammals. Proc. Natl. Acad. Sci. USA 2021, 118, e2106080118. [Google Scholar] [CrossRef]
  44. Chen, L.; Qiu, Q.; Jiang, Y.; Wang, K.; Lin, Z.; Li, Z.; Bibi, F.; Yang, Y.; Wang, J.; Nie, W.; et al. Large-scale ruminant genome sequencing provides insights into their evolution and distinct traits. Science 2019, 364, eaav6202. [Google Scholar] [CrossRef] [PubMed]
  45. Mahmut, H.; Masuda, R.; Onuma, M.; Takahashi, M.; Nagata, J.; Suzuki, M.; Ohtaishi, N. Molecular phylogeography of the red deer (Cervus elaphus) populations in Xinjiang of China: Comparison with other Asian, European, and North American populations. Zool. Sci. 2002, 19, 485–495. [Google Scholar] [CrossRef] [PubMed]
  46. Li, Y.; Ba, H.; Yang, F. Complete mitochondrial genome of Cervus elaphus songaricus (Cetartiodactyla: Cervinae) and a phylogenetic analysis with related species. Mitochondrial DNA Part A DNA Mapp. Seq. Anal. 2016, 27, 620–621. [Google Scholar] [CrossRef]
  47. Perrière, G. Bioinformatics in the complete genome sequence era. Biochimie 2008, 90, 553–554. [Google Scholar] [CrossRef] [PubMed]
  48. Korhonen, P.K.; Pozio, E.; La Rosa, G.; Chang, B.C.H.; Koehler, A.V.; Hoberg, E.P.; Boag, P.R.; Tan, P.; Jex, A.R.; Hofmann, A.; et al. Phylogenomic and biogeographic reconstruction of the Trichinella complex. Nat. Commun. 2016, 7, 10513. [Google Scholar] [CrossRef] [PubMed]
  49. Jin, Y.; Zhou, J.; Zhou, J.; Hu, M.; Zhang, Q.; Kong, N.; Ren, H.; Liang, L.; Yue, J. Genome-based classification of Burkholderia cepacia complex provides new insight into its taxonomic status. Biol. Direct 2020, 15, 6. [Google Scholar] [CrossRef] [PubMed]
  50. Kapli, P.; Yang, Z.; Telford, M.J. Phylogenetic tree building in the genomic age. Nat. Rev. Genet. 2020, 21, 428–444. [Google Scholar] [CrossRef]
  51. O’Reilly, J.E.; Dos Reis, M.; Donoghue, P.C.J. Dating Tips for Divergence-Time Estimation. Trends Genet. 2015, 31, 637–650. [Google Scholar] [CrossRef]
  52. Tamura, K.; Battistuzzi, F.U.; Billing-Ross, P.; Murillo, O.; Filipski, A.; Kumar, S. Estimating divergence times in large molecular phylogenies. Proc. Natl. Acad. Sci. USA 2012, 109, 19333–19338. [Google Scholar] [CrossRef]
  53. Heath, T.A.; Huelsenbeck, J.P.; Stadler, T. The fossilized birth-death process for coherent calibration of divergence-time estimates. Proc. Natl. Acad. Sci. USA 2014, 111, E2957–E2966. [Google Scholar] [CrossRef]
  54. Xuan, J.L.; Scheffer, S.J.; Lewis, M.; Cassel, B.K.; Liu, W.X.; Wiegmann, B.M. The phylogeny and divergence times of leaf-mining flies (Diptera: Agromyzidae) from anchored phylogenomics. Mol. Phylogenet. Evol. 2023, 184, 107778. [Google Scholar] [CrossRef] [PubMed]
  55. Zhou, X.; Xu, S.; Xu, J.; Chen, B.; Zhou, K.; Yang, G. Phylogenomic analysis resolves the interordinal relationships and rapid diversification of the laurasiatherian mammals. Syst. Biol. 2012, 61, 150–164. [Google Scholar] [CrossRef] [PubMed]
  56. Álvarez-Carretero, S.; Tamuri, A.U.; Battini, M.; Nascimento, F.F.; Carlisle, E.; Asher, R.J.; Yang, Z.; Donoghue, P.C.J.; Dos Reis, M. A species-level timeline of mammal evolution integrating phylogenomic data. Nature 2022, 602, 263–267. [Google Scholar] [CrossRef] [PubMed]
  57. Kumar, S.; Suleski, M.; Craig, J.M.; Kasprowicz, A.E.; Sanderford, M.; Li, M.; Stecher, G.; Hedges, S.B. TimeTree 5: An Expanded Resource for Species Divergence Times. Mol. Biol. Evol. 2022, 39, msac174. [Google Scholar] [CrossRef] [PubMed]
  58. Mahony, S.; Foley, N.M.; Biju, S.D.; Teeling, E.C. Evolutionary History of the Asian Horned Frogs (Megophryinae): Integrative Approaches to Timetree Dating in the Absence of a Fossil Record. Mol. Biol. Evol. 2017, 34, 744–771. [Google Scholar] [CrossRef]
  59. Ye, J.; Fang, L.; Zheng, H.; Zhang, Y.; Chen, J.; Zhang, Z.; Wang, J.; Li, S.; Li, R.; Bolund, L.; et al. WEGO: A web tool for plotting GO annotations. Nucleic Acids Res. 2006, 34, W293–W297. [Google Scholar] [CrossRef] [PubMed]
  60. Ogata, H.; Goto, S.; Sato, K.; Fujibuchi, W.; Bono, H.; Kanehisa, M. KEGG: Kyoto Encyclopedia of Genes and Genomes. Nucleic Acids Res. 1999, 27, 29–34. [Google Scholar] [CrossRef] [PubMed]
  61. Hancock, J.M. Gene factories, microfunctionalization and the evolution of gene families. Trends Genet. 2005, 21, 591–595. [Google Scholar] [CrossRef]
  62. Freitas, L.; Nery, M.F. Expansions and contractions in gene families of independently-evolved blood-feeding insects. BMC Evol. Biol. 2020, 20, 87. [Google Scholar] [CrossRef]
  63. Keller, M.; Baum, M.J.; Brock, O.; Brennan, P.A.; Bakker, J. The main and the accessory olfactory systems interact in the control of mate recognition and sexual behavior. Behav. Brain Res. 2009, 200, 268–276. [Google Scholar] [CrossRef]
  64. Wisenden, B.D.; Andebrhan, A.A.; Anderson, C.M.; Angus, J.M.; Coffman, I.C.; Cloutier, M.E.; Dahl, Q.H.; Doebler, A.D.; Erickson, L.G.; McKay, J.E.; et al. Olfactory cues of risk and visual cues of safety interact with sympatry and phylogeny in shaping behavioral responses by littoral fishes. Behav. Ecol. Sociobiol. 2023, 77, 91. [Google Scholar] [CrossRef]
  65. Hughes, G.M.; Boston, E.S.M.; Finarelli, J.A.; Murphy, W.J.; Higgins, D.G.; Teeling, E.C. The Birth and Death of Olfactory Receptor Gene Families in Mammalian Niche Adaptation. Mol. Biol. Evol. 2018, 35, 1390–1406. [Google Scholar] [CrossRef] [PubMed]
  66. Zhang, H.M.; Ma, J.Z. A Theoretical Review of Wildlife Habitat Fragmentation. Chin. J. Wildl. 2014, 35, 6–14. [Google Scholar] [CrossRef]
  67. Haddad, N.M.; Brudvig, L.A.; Clobert, J.; Davies, K.F.; Gonzalez, A.; Holt, R.D.; Lovejoy, T.E.; Sexton, J.O.; Austin, M.P.; Collins, C.D.; et al. Habitat fragmentation and its lasting impact on Earth’s ecosystems. Sci. Adv. 2015, 1, e1500052. [Google Scholar] [CrossRef] [PubMed]
  68. Tang, L.; Wen, X.; Zhang, R.; Xing, X. Current Situation and Utilization of Velvet Deer Germplasm Resources in China. Animals 2022, 12, 3529. [Google Scholar] [CrossRef]
  69. Zhang, B. Wildlife of Cervidae in China. Biol. Teach. 2008, 6, 4–6. [Google Scholar]
  70. Ba, H.; Qin, T.; Cai, Z.; Liu, W.; Li, C. Molecular evidence for adaptive evolution of olfactory-related genes in cervids. Genes Genom. 2020, 42, 355–360. [Google Scholar] [CrossRef] [PubMed]
  71. Bártová, E.; Krejcí, J.; Harnicarová, A.; Galiová, G.; Kozubek, S. Histone modifications and nuclear architecture: A review. J. Histochem. Cytochem. 2008, 56, 711–721. [Google Scholar] [CrossRef]
  72. Homberg, M.; Magin, T.M. Beyond expectations: Novel insights into epidermal keratin function and regulation. Int. Rev. Cell Mol. Biol. 2014, 311, 265–306. [Google Scholar] [CrossRef] [PubMed]
  73. Wu, D.D.; Irwin, D.M.; Zhang, Y.P. Molecular evolution of the keratin associated protein gene family in mammals, role in the evolution of mammalian hair. BMC Evol. Biol. 2008, 8, 241. [Google Scholar] [CrossRef]
  74. Maderson, P.F. Mammalian skin evolution: A reevaluation. Exp. Dermatol. 2003, 12, 233–236. [Google Scholar] [CrossRef] [PubMed]
  75. Ehrlich, F.; Fischer, H.; Langbein, L.; Praetzel-Wunder, S.; Ebner, B.; Figlak, K.; Weissenbacher, A.; Sipos, W.; Tschachler, E.; Eckhart, L. Differential Evolution of the Epidermal Keratin Cytoskeleton in Terrestrial and Aquatic Mammals. Mol. Biol. Evol. 2019, 36, 328–340. [Google Scholar] [CrossRef] [PubMed]
  76. Frohlich, J.; Kubickova, S.; Musilova, P.; Cernohorska, H.; Muskova, H.; Vodicka, R.; Rubes, J. Karyotype relationships among selected deer species and cattle revealed by bovine FISH probes. PLoS ONE 2017, 12, e0187559. [Google Scholar] [CrossRef] [PubMed]
  77. Han, R.; Han, L.; Zhao, X.; Wang, Q.; Xia, Y.; Li, H. Haplotype-resolved Genome of Sika Deer Reveals Allele-specific Gene Expression and Chromosome Evolution. Genom. Proteom. Bioinform. 2023, 21, 470–482. [Google Scholar] [CrossRef] [PubMed]
  78. Wang, Z.; Du, D.R. Karyotypes of Cervidae and their evolution. Acta Zool. Sin. 1983, 29, 214–222. [Google Scholar]
  79. Yang, F.; O’Brien, P.C.M.; Wienberg, J.; Ferguson-Smith, M.A. A reappraisal of the tandem fusion theory of karyotype evolution in the Indian muntjac using chromosome painting. Chromosome Res. 1997, 5, 109–117. [Google Scholar] [CrossRef] [PubMed]
  80. Shi, Y.F.; Shan, X.N.; Li, J.; Shi, T.Y.; Zheng, A.L. Sequence analysis and phylogeny of deer (Cervidae) MtDNA control regions. Acta Genet. Sin. 2004, 31, 395–402. [Google Scholar] [PubMed]
  81. Frönicke, L.; Chowdhary, B.P.; Scherthan, H. Segmental homology among cattle (Bos taurus), Indian muntjac (Muntiacus muntjak vaginalis), and Chinese muntjac (M. reevesi) karyotypes. Cytogenet. Cell Genet. 1997, 77, 223–227. [Google Scholar] [CrossRef]
  82. Huang, L.; Wang, J.; Nie, W.; Su, W.; Yang, F. Tandem chromosome fusions in karyotypic evolution of Muntiacus: Evidence from M. feae and M. gongshanensis. Chromosome Res. 2006, 14, 637–647. [Google Scholar] [CrossRef]
  83. Yang, F.; Carter, N.P.; Shi, L.; Ferguson-Smith, M.A. A comparative study of karyotypes of muntjacs by chromosome painting. Chromosoma 1995, 103, 642–652. [Google Scholar] [CrossRef]
Figure 1. Phylogeny and gene family analysis of Cervidae. (a) Phylogeny with divergence time and gene family expansion and contraction in the eight Cervidae species, with Bos taurus used as an outgroup. The numbers of expanded (red) and contracted (green) gene families are shown on branches. (b) Horizontal bar plots indicate the number of orthogroups that are species-specific (red), present in all nine species (orange), or present in more than one but less than all species (green) in the analysis.
Figure 1. Phylogeny and gene family analysis of Cervidae. (a) Phylogeny with divergence time and gene family expansion and contraction in the eight Cervidae species, with Bos taurus used as an outgroup. The numbers of expanded (red) and contracted (green) gene families are shown on branches. (b) Horizontal bar plots indicate the number of orthogroups that are species-specific (red), present in all nine species (orange), or present in more than one but less than all species (green) in the analysis.
Animals 14 01063 g001
Figure 2. The chromosome collinearity of seven species of Cervidae (Cervus elaphus yarkandensis, Cervus nippon, Cervus elaphus, Cervus canadensis, Rangifer tarandus, Muntiacus reevesi and Muntiacus muntjac), with Bos taurus as the reference. Odocoileus virginianus was excluded, as it is not a chromosome-level genome. The cirves are in the same colors, grey. The different colors are the chromosomes of different species.
Figure 2. The chromosome collinearity of seven species of Cervidae (Cervus elaphus yarkandensis, Cervus nippon, Cervus elaphus, Cervus canadensis, Rangifer tarandus, Muntiacus reevesi and Muntiacus muntjac), with Bos taurus as the reference. Odocoileus virginianus was excluded, as it is not a chromosome-level genome. The cirves are in the same colors, grey. The different colors are the chromosomes of different species.
Animals 14 01063 g002
Table 2. Statistics on significantly contracted/expanded gene families/genes in eight species.
Table 2. Statistics on significantly contracted/expanded gene families/genes in eight species.
SpeciesContractiveExpansive
Gene FamiliesGenesGene FamiliesGenes
Reindeer179519171081434
White-tailed deer162273169012,418
Reeves’ muntjac1363651261285
Red muntjac1383151261230
Red deer3270210919,456
Wapiti67144199418,075
Tarim red deer2212212125202
Sika deer2202212721286
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Tang, L.; Dong, S.; Xing, X. Comparative Genomics Reveal Phylogenetic Relationship and Chromosomal Evolutionary Events of Eight Cervidae Species. Animals 2024, 14, 1063. https://doi.org/10.3390/ani14071063

AMA Style

Tang L, Dong S, Xing X. Comparative Genomics Reveal Phylogenetic Relationship and Chromosomal Evolutionary Events of Eight Cervidae Species. Animals. 2024; 14(7):1063. https://doi.org/10.3390/ani14071063

Chicago/Turabian Style

Tang, Lixin, Shiwu Dong, and Xiumei Xing. 2024. "Comparative Genomics Reveal Phylogenetic Relationship and Chromosomal Evolutionary Events of Eight Cervidae Species" Animals 14, no. 7: 1063. https://doi.org/10.3390/ani14071063

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop