Ying Zhang, Liming Wei, Bingjian Liu, Liqin Liu, Zhenming Lü, Li Gong. Two complete mitogenomes of Ocypodoidea (Decapoda: Brachyura), Cleistostoma dilatatum (Camptandriidae) and Euplax sp. (Macrophthalmidae) and its phylogenetic implications[J]. Acta Oceanologica Sinica, 2023, 42(4): 81-92. doi: 10.1007/s13131-022-2054-9
Citation: Wen Yang, Wenjia Hu, Bin Chen, Hongjian Tan, Shangke Su, Like Ding, Peng Dong, Weiwei Yu, Jianguo Du. Impact of climate change on potential habitat distribution of Sciaenidae in the coastal waters of China[J]. Acta Oceanologica Sinica, 2023, 42(4): 59-71. doi: 10.1007/s13131-022-2053-x

Impact of climate change on potential habitat distribution of Sciaenidae in the coastal waters of China

doi: 10.1007/s13131-022-2053-x
Funds:  The Xiamen Youth Innovation Fund under contract No. 3502Z20206096; the National Key Research and Development Program of China under contract No. 2019YFE0124700; the National Natural Science Foundation of China under contract Nos 42176153, 41906127, and 42076163; the National Program on Global Change and Air-Sea Interaction under contract No. HR01-200701.
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  • Corresponding author: dujianguo@tio.org.cn
  • Received Date: 2022-03-30
  • Accepted Date: 2022-06-08
  • Available Online: 2023-02-01
  • Publish Date: 2023-04-25
  • Climate change has affected and will continue to affect the spatial distribution patterns of marine organisms. To understand the impact of climate change on the distribution patterns and species richness of the Sciaenidae in China’s coastal waters, the maximum entropy model was used to combine six environmental factors and predict the potential distribution of 12 major species of Sciaenidae by 2050s under Representative Concentration Pathways (RCPs) 2.6 and 8.5. The results showed that the average area under the receiver operating characteristic curve of the model was 0.917, indicating that the model predictions were accurate and reliable. The main driving factors affecting the potential distribution of these fishes were dissolved oxygen, salinity, and sea surface temperature (SST). There was an overall northward shift in the potential habitat areas of these fishes under the two climate scenarios. The total potential habitat areas of Larimichthys polyactis, Pennahia argentata, and Pennahia pawak decreased under both climate scenarios, while the total habitat area of Johnius belengerii, Pennahia anea, Miichthys miiuy, Collichthys lucidus, and Collichthys niveatus increased, suggesting that these might be loser and winner species, respectively. The expansion rate, contraction rate, degree of centroid change, and species richness in the potential habitats were generally more significant under RCP8.5 than RCP2.6. The mean shift rates of the potential distribution were 41.50 km/(10 a) and 29.20 km/(10 a) under RCP8.5 and RCP2.6, respectively. The changes in Sciaenidae species richness under climate change were bounded by the Changjiang River Estuary waters, with obvious north-south differences. Some waters with increased species richness may become refuges for Sciaenidae fishes under climate change. The richness and habitat area change rate of some aquatic germplasm resources will decrease, meanings that these reserves are more sensitive to climate change, and more attention should be paid to the potential challenges and opportunities for fishery managers. This study may provide a scientific basis for the management and conservation of Sciaenidae in China under climate change.
  • With the rapid development of next-generation sequencing (NGS) technologies that can effectively analyze huge pools of molecular data, an increasing number of mitogenomes provide important insights into species evolution and phylogenetic relationships (Tan et al., 2018; Ruan et al., 2020, Yang et al., 2021). Generally, gene order in most vertebrate mitogenomes is considered conserved, e.g., less than 4% rearrangement ratio in fish mitogenomes (Li et al., 2013). However, extensive gene rearrangements have been observed in invertebrate mitogenomes (Wu et al., 2012; Liu et al., 2017; Jiang et al., 2018). Recent studies have shown that some of these rearrangements contain useful information for phylogeny, and many scholars have applied gene rearrangement as a new molecular marker in phylogenetic studies. For example, Akasaki et al. (2006) compared the gene rearrangement of subclass Coleoidea and proposed that the arrangements of mitochondrial genes in Oegopsida and Sepiida were derived from those of Octopoda. This conclusion is consistent with the results of their phylogenetic analysis based on mitochondrial genes. Through a comparative study of gene rearrangement and phylogenetic relationships of five species from the superfamily Tellinoidea, Yuan et al. (2012) suggested that the genus Sinonovacula should be placed in the superfamily Solenoidea instead of the superfamily Tellinoidea. Besides, Tan et al. (2018) compared the published mitogenome sequences of two infraorders (Anomura and Brachyura) and affirmed the potential value of using rearrangement information to investigate the phylogeny of Anomura.

    In contrast, there are also some scholars consider that gene order is not suitable for phylogenetic reconstruction. For example, Xie et al. (2019) demonstrated that approach based on gene order alone is clearly inferior to sequence-based approaches to resolve major phylogenetic relationships. In their research, none of the relationships among major stylommatophoran groups were resolved in the gene order tree. Recently, Zhang et al. (2021b) reconstructed the phylogeny of Paguroidea based on both sequence data and gene order. The results indicated that gene order data did not seem to work well for phylogenetic analysis within families. From their gene order tree, the relationships within families are suspicious because two close relatives belonging to the same genus (Dardanus arrosor and D. aspersus) owned two different gene rearrangements. Of course, increasing the availability of mitogenomic data from different taxa will help to validate the applicability of gene order data in inferring phylogenetic relationships.

    The infraorder Brachyura contains approximately 7 250 known species inhabiting marine, freshwater, and terrestrial habitats (Chen et al., 2018; Ma et al., 2019). Brachyura, as the oldest crab, originated in the Jurassic period (Schweitzer and Feldmann, 2010; Davie et al., 2015a), and a group of its members with extremely diverse morphology and ecology was finally formed after massive radiative evolution. However, the diversity has also caused remarkably challenges for species identification, and their real phylogenetic relationships remain controversial (Camargo et al., 2020; Tan et al., 2018). Grapsoidea and Ocypodoidea, two of the most abundant and economically important groups in Brachyura, are of commercial value to fisheries and aquaculture. However, the classification of Grapsoidea and Ocypodoidea has been controversial for a long time. Previous studies based on morphological features considered them to be monophyletic clades (Ng et al., 2008; Davie et al., 2015b). Recently, an increasing number of molecular studies have challenged the monophyly of these taxa (Chen et al., 2018, 2019; Lu et al., 2020). For example, molecular study of Wang et al. (2020) revealed that Ocypodoidea and Grapsoidea are divided into three clades, and similar findings were presented in Tan et al. (2018). Larger taxon samples are required to fully understand the phylogenetic relationships between Ocypodoidea and Grapsoidea in future studies.

    Members of the family Camptandriidae Stimpson, 1858 are commonly found in the estuarine, mangrove mudflat, and open mudflat habitats in the Indo-West Pacific regions (Jones and Clayton, 1983). Species of this family share a distinct condition in the male first gonopod, in which the distal part is bent or twisted over the proximal base by about 180°, producing a strongly recurved structure (Naruse et al., 2015). Initially, this family was regarded as a subfamily of Ocypodidae. Subsequently, Camptandriinae was raised to the family level and a complete diagnosis of this family was carried out (Cheryl, 1997). According to WoRMS (http://www.marinespecies.org/), Camptandriidae consists of 42 species belonging to 24 genera. Most studies of this family focused on morphological features (Naderloo, 2017a; Trivedi et al., 2017). Although there are few researches on molecular level, most of them were based on partial mitochondrial gene sequences (Kitaura et al., 1998; Miura et al., 2007). To date, no complete mitogenome from Camptandriidae has ever been reported. The phylogenetic relationships among Camptandriidae and even the evolutionary status of this family have not been well resolved due to limited mitogenomic data.

    Members of the family Macrophthalmidae Dana, 1851 occur throughout the Indo-West Pacific, with most of the known species living in intertidal habitat (Mendoza and Ng, 2007). The macrophthalmids are distinguished primarily by having antennules that fold transversely or obliquely, a narrow inter-antennulary septum, external maxillipeds that do not completely close the buccal cavern, and eyestalks that are usually elongate (Davie, 2002). Although this family had long been regarded as a subfamily of Ocypodidae, Kitaura et al. (2002) provided clear molecular evidence that it should be regarded as a distinct family. At present, it includes 86 species belonging to 13 genera. Similarly, the genus Euplax H. Milne Edwards, 1852, it was initially regarded as a subgenus of Macrophthalmus Desmarest, 1823. Afterward, McLay et al. (2010) updated it to a valid genus. According to WoRMS, the genus Euplax only contains two species, Euplax dagohoyi (Mendoza and Ng, 2007) and Euplax leptophthalmus (H. Milne Edwards, 1852). To date, only three complete mitogenomes of this family are available from the National Center for Biotechnology Information (NCBI) dataset, and all of them belong to the genus Macrophthalmus. The phylogenetic relationships among Macrophthalmidae have been poorly resolved.

    Accordingly, in the present study, two newly sequenced mitogenomes of Ocypodoidea (C. dilatatum and Euplax sp.) were reported for the first time, one of which (C. dilatatum) is the first species in the family Camptandriidae whose complete mitogenome was sequenced. The characteristics of these two mitogenomes and the other 17 mitogenomes clustering in one branch of the phylogenetic tree were compared. Genome collinearity analysis of 19 mitogenomes showed that 18 of them shared the same gene rearrangement, while that of C. dilatatum mitogenome was consistent with the ancestral gene arrangement of Brachyura. Possible models were proposed to explain the current mitogenomic rearrangements. The phylogeny of Brachyura was reconstructed and the evolutionary status of Camptandriidae was revealed for the first time from the mitogenomic level. These results will not only enrich the mitogenomes of Ocypodoidea and mitogenomic rearrangements, but also lay a foundation for further evolutionary studies of Brachyura.

    Specimens of C. dilatatum and Euplax sp. were collected from Jiangsu Province, China (34°47′48.80″N, 119°13′42.38″E) and Hainan Province, China (18°24′39.48″N, 109°58′20.60″E), respectively. Specimens were immediately preserved in 95% ethanol until DNA extraction. According to the key morphological features of crabs, these two specimens were identified with a stereo dissecting microscope (Naderloo, 2017a, 2017b). The SQ Tissue DNA Kit (OMEGA) was used to extract the total genomic DNA from muscle tissue following the manufacturer’s instructions. The genomic DNA was sent to Shanghai Origingene Biopharm Technology Co., Ltd. for library preparation and high-throughput sequencing. The libraries were constructed by using the VAHTS Universal Plus DNA Library Prep Kit, with an insert size of 150 bp. Paired-end sequencing with a read length of 150 bp was performed on an Illumina Hiseq 6000 platform. Adapters and low-quality bases were removed using cutadapt v1.16 (Martin, 2011) with the following parameters: q, 20; m, 20. Trimmed reads shorter than 50 bp were discarded. Quality control of raw and trimmed reads was performed using FastQC v0.11.5 (http://www.bioinformatics.babraham.ac.uk/projects/fastqc/). The filtered clean data were assembled and mapped to complete mitogenome sequence using NOVOPlasty v2.7.2 (Dierckxsens et al., 2017).

    The newly assembled mitogenomes of C. dilatatum and Euplax sp. were annotated using the software of Sequin (version 15.10, http://www.ncbi.nlm.nih.gov/Sequin/). The boundaries of protein-coding and ribosomal RNA genes were performed using NCBI-BLAST (http://blast.ncbi.nlm.nih.gov). Transfer RNA genes were manually plotted, according to the secondary structure predicted by the MITOS Web Server (Bernt et al., 2013) and tRNAscan-SE 1.21 (Lowe and Chan, 2016). The control region was determined by the locations of adjacent genes. Finally, circular mitogenome maps of C. dilatatum and Euplax sp. were drawn with the BLAST Ring Image Generator v0.95 (Alikhan et al., 2011).

    The base composition and relative synonymous codon usage (RSCU) were obtained using MEGA X (Kumar et al., 2018). The strand asymmetry was calculated using the following formulas: AT-skew = (A − T)/(A + T); GC-skew = (G − C)/(G + C) (Perna and Kocher, 1995). Synteny analysis between the genomes was performed using Mauve v2.4.0 (Darling et al., 2004). To estimate the evolutionary-selection constraints on 13 PCGs, the nonsynonymous (dN) and synonymous (dS) substitution rates were calculated using Mega X. The genetic distances of 13 PCGs were also estimated using Mega X based on the Kimura 2-parameter (K2P) substitution model.

    The phylogeny of Brachyura was inferred based on 107 available complete mitogenomes and two newly determined ones (Table S1). The species Pagurus nigrofascia and P. gracilipes from Anomura were used as outgroups. PhyloSuite (Zhang et al., 2020a) was used to extract the nucleotide sequences of 13 PCGs for each of the above species from the GenBank files. The MAFFT program (Katoh et al., 2002) integrated into PhyloSuite was executed to align multiple sequences in normal-alignment mode, and ambiguously aligned regions were identified and moved by Gblocks (Talavera and Castresana, 2007). The alignments of individual genes were then concatenated and used to generate input files (Phylip and Nexus formats) for phylogenetic analysis. The best-fit models were selected by ModelFinder (Kalyaanamoorthy et al., 2017) based on the Bayesian Information Criterion (BIC). Phylogenetic trees were built under maximum likelihood (ML) and Bayesian inference (BI) methods. The ML analysis was carried out in IQ-TREE (Nguyen et al., 2015) using an ML+rapid bootstrap (BS) algorithm with 1000 replicates. The BI analysis was performed in MrBayes 3.2.6 (Ronquist et al., 2012) with default parameters and 3×106 Markov Chain Monte Carlo generations. The trees were sampled every 1000 generations with a burn-in of 25%. The average standard deviation of split frequencies below 0.01 was considered to reach convergence.

    The complete mitogenomes of C. dilatatum and Euplax sp. are 15 444 bp and 16 129 bp in length, respectively (GenBank accessions MW191756 and MT176431; the order of the following data is the same as these) (Fig. 1; Tables 1 and 2). These two mitogenomes both contain a typical set of 37 genes (13 PCGs, 22 tRNAs, and two rRNAs) and a putative control region (CR). Nine PCGs and 14 tRNAs are encoded by the heavy (H-) strand, while the remaining genes are encoded by the light (L-) strand. There are 140 intergenic nucleotides dispersed in 13 locations in C. dilatatum mitogenome, and 537 intergenic nucleotides in 17 locations in Euplax sp. mitogenome; respectively. The longest one is 53 bp (between ND5 and ND4) and 169 bp (between ND4L and ND6) in these two mitogenomes (Tables 1 and 2). The base composition of C. dilatatum mitogenome is 34.4% A, 34.7% T, 11.4% C, 19.5% G, and that of Euplax sp. is 34.9% A, 34.0% T, 10.4% C, 20.7% G; the AT contents are 69.1% and 68.9%, suggesting a strong AT bias (Tables S2 and S3).

    Figure  1.  Gene maps of Cleistostoma dilatatum (a) and Euplax sp. (b) mitogenomes. Genes encoded on the heavy or light strands are shown outside or inside the circular gene map, respectively.
    Table  1.  Features of the mitochondrial genome of Cleistostoma dilatatum
    GenePositionLength/bpAmino acidStart/Stop codonAnticodonIntergenic regionStrand
    FromTo
    COI1 bp1534 bp1534511ATG/T 0H
    Leu (L2)1535 bp1599 bp65 TAA6H
    COII1606 bp2293 bp688229ATG/T0H
    Lys (K)2294 bp2363 bp70 TTT0H
    Asp (D)2364 bp2424 bp61 GTC1H
    ATP82426 bp2584 bp15952ATG/TAA –4H
    ATP62581 bp3252 bp672223ATA/TAA –1H
    COIII3252 bp4041 bp790263ATG/T 0H
    Gly (G)4042 bp4105 bp64 TCC–3H
    ND34103 bp4456 bp354117ATT/TAA 4H
    Ala (A)4461 bp4525 bp65 TGC4H
    Arg (R)4530 bp4593 bp64 TCG0H
    Asn (N)4594 bp4662 bp69 GTT0H
    Ser (S1)4663 bp4729 bp67 TCT0H
    Glu (E)4730 bp4795 bp66 TTC2H
    His (H)4798 bp4862 bp65 GTG1L
    Phe (F)4864 bp4928 bp65GAA–1L
    ND54928 bp6643 bp1716571ATT/TAA53L
    ND46697 bp8034 bp1338445ATG/TAA–7L
    ND4L8028 bp8330 bp303100ATG/TAA9L
    Thr (T)8340 bp8405 bp66TGT0H
    Pro (P)8406 bp8470 bp65TGG2L
    ND68473 bp8976 bp504167ATT/TAA–1H
    Cyt b8976 bp10 110 bp1135378ATG/T0H
    Ser (S2)10 111 bp10 177 bp67TGA15H
    ND110 193 bp11 131 bp939312ATA/TAA34L
    Leu (L1)11 166 bp11 232 bp67TAG0L
    16S11 233 bp12 546 bp13140L
    Val (V)12 547 bp12 619 bp73TAC0L
    12S12 620 bp13 435 bp8160L
    CR13 436 bp14 024 bp5890H
    Ile (I)14 025 bp14 090 bp66GAT–3H
    Gln (Q)14 088 bp14 156 bp69TTG8L
    Met (M)14 165 bp14 234 bp70CAT0H
    ND214 235 bp15 245 bp1011336ATT/TAG–2H
    Trp (W)15 244 bp15 315 bp72TCA1H
    Cys (C)15 317 bp15 380 bp64GCA0L
    Tyr (Y)15 381 bp15 444 bp64GTA–1L
    Note: – represents no data.
     | Show Table
    DownLoad: CSV
    Table  2.  Features of the mitochondrial genome of Euplax sp.
    GenePositionLength/bpAmino acidStart/Stop codonAnticodonIntergenic regionStrand
    FromTo
    COI1 bp1539 bp1539512ATG/TAA–5H
    Leu (L2)1535 bp1600 bp66TAA8H
    COII1609 bp2296 bp688229ATG/T28H
    ATP82325 bp2486 bp16253ATT/TAA–4H
    ATP62 483 bp3154 bp672223ATA/TAA–1H
    COIII3154 bp3943 bp790263ATG/T0H
    Gly (G)3 944 bp4006 bp63TCC–3H
    ND34004 bp4357 bp354117ATA/TAA1H
    Ala (A)4359 bp4422 bp64TGC1H
    Arg (R)4424 bp4487 bp64TCG0H
    Asn (N)4488 bp4554 bp67GTT0H
    Ser (S1)4555 bp4621 bp67TCT6H
    Thr (T)4 628 bp4689 bp62TGT16H
    Pro (P)4 706 bp4770 bp65TGG10L
    ND14781 bp5707 bp927308ATA/TAG33L
    Leu (L1)5741 bp5807 bp67TAG0L
    16S5808 bp7170 bp13630L
    12S7171 bp8048 bp8780L
    His (H)8 049 bp8113 bp65GTG–1L
    ND58113 bp9813 bp1701566ATG/TAA125L
    Val (V)9939 bp10 011 bp73TAG0L
    CR10 012 bp10 806 bp7950H
    Gln (Q)10 807 bp10 875 bp69TTG7L
    Cys (C)10 883 bp10 944 bp62GCA0L
    Tyr (Y)10 945 bp11 010 bp66GTA37L
    Lys (K)11 048 bp11 116 bp69TTT0H
    Asp (D)11 117 bp11 182 bp66GTC4H
    Glu (E)11 187 bp11 249 bp63TTC–1H
    Phe (F)11 249 bp11 314 bp66GAA7L
    ND411 322 bp12 659 bp1338445ATG/TAA–7L
    ND4L12 653 bp12 955 bp303100ATG/TAA169L
    ND613 125 bp13 649 bp525174ATT/TAA–20H
    Cyt b13 630 bp14 764 bp1135378ATG/T0H
    Ser (S2)14 765 bp14 830 bp66TGA76H
    Ile (I)14 907 bp14 971 bp65GAT2H
    Met (M)14 974 bp15 042 bp69CAT0H
    ND215 043 bp16 053 bp1011336ATG/TAG–2H
    Trp (W)16 052 bp16 121 bp70TCA7H
    Note: – represents no data.
     | Show Table
    DownLoad: CSV

    All the 13 PCGs initiate with typical ATN codons in the two mitogenomes. The majority of PCGs terminate with TAA or TAG, while four PCGs in C. dilatatum mitogenome (COI, COII, COIII, and Cyt b) and three PCGs in Euplax sp. mitogenome (COII, COIII, and Cyt b) use a single T as a stop codon (Tables 1 and 2). Incomplete stop codons are common in metazoan mitogenomes and may be recovered via post-transcriptional polyadenylation (Ojala et al., 1981). The GC-skew values of nine PCGs (COI, COII, ATP8, ATP6, COIII, ND3, ND6, Cyt b, and ND2) are negative, indicating they are encoded by the H-strand, whereas the remaining four exhibit positive values, indicating they are encoded by the L-strand (Tables S2 and S3). The most frequently used amino acids are Leu and Ser. In comparison, the least common amino acids are Cys and Arg (Figs 2a, b). The RSCU values of each codon in these two mitogenomes are roughly identical (Figs 2c, d; Table S4). It is worth noting that the RSCU values for the codons NNU and NNA are usually greater than one, suggesting a strong AT bias in the third codon position.

    Figure  2.  Amino acid composition in the mitogenome of Cleistostoma dilatatum (a) and Euplax sp. (b); relative synonymous codon usage in the mitogenome of C. dilatatum (c) and Euplax sp. (d). RSCU: relative synonymous codon usage.

    Twenty-two tRNAs are scattered throughout the entire mitogenome (Tables 1 and 2). All of them can be folded into typical cloverleaf secondary structures except for S1 in both two mitogenomes (Figs S1 and S2). The lack of DHU arm in S1 is thought to be a common phenomenon in metazoan mitogenomes (Gong et al., 2020; Lu et al., 2020; Ruan et al., 2020). The 16S rRNA and 12S rRNA genes of C. dilatatum mitogenome are located between L1 and V, V and CR, respectively. While Euplax sp. mitogenome shares different rRNA arrangements (L1- 16S- 12S- H).

    To estimate the evolutionary-selection constraints on 13 PCGs in 19 mitogenomes, we perform dN/dS analysis for each PCG. It is commonly accepted that dN/dS>1, dN/dS=1, and dN/dS<1 generally indicate positive selection, neutral mutation, and purifying selection, respectively (Yang, 2006). All of the dN/dS ratios are lower than one (<1), indicating that all 13 PCGs are evolving under purifying selection. ATP8 gene exhibits a highly relaxed purifying selection with the highest dN/dS value (0.619), whereas COI gene exhibits the strongest purifying selection with the lowest dN/dS value (0.077) (Fig. 3). The lowest dN/dS value of COI gene indicates that this gene is bound by the protein-coding function and bears strong natural selection pressure, thus ensuring the normal function of its encoded protein, which means that COI gene has an important role in the survival and evolution of the above species. Besides, we conduct genetic distance analysis for 13 PCGs. COI gene possesses the least genetic distance (average 0.214), and ATP gene captures the largest value (average 0.409), representing the most conserved and variable genes, respectively (Fig. 3).

    Figure  3.  Genetic distance (on average) and dN/dS substitution rates of 13 PCGs among 19 mitogenomes.

    Genomic synteny analysis reveals that four large genomic homologous regions are prevalent in all 19 mitogenomes (marked A–D in Fig. 4). It is evident that the homologous regions B and C are rearranged in C. dilatatum mitogenome when choosing Eriocheir sinensis (Brachyura: Varunidae) mitogenome as the reference sequence (Fig. 4). The two homologous regions show a C-B order in C. dilatatum mitogenome, while that the remaining crabs display a B-C order (Fig. 4). Further analysis indicated that C. dilatatum mitogenome was consistent with the ancestral gene arrangement of Brachyura, while that of the remaining crabs shared exactly the same gene rearrangements.

    Figure  4.  Multiple genome alignments of 19 mitogenomes. The mitogenome of Eriocheir sinensis at the top as the reference genome. All genomes are started from the COI gene. The number at the top of each genome shows nucleotide positions. Within each of the alignments, local collinear blocks are represented by blocks of the same color connected by lines.

    Gene arrangements in C. dilatatum and Euplax sp. mitogenomes are shown in Fig. 5. For C. dilatatum mitogenome, only a single H moves from the downstream of ND5 to downstream of E (Fig. 5A①) when compared with the gene order in ancestral crustaceans (the pancrutacean ground pattern) mitogenomes (Boore, 1999). In contrast, gene order in Euplax sp. mitogenome underwent large-scale gene rearrangements. At least nine gene clusters (or genes) significantly differ from the typical order, involving 12 tRNA genes (K, D, E, F, H, T, P, L1, V, Q, C, and Y), two rRNAs (16S rRNA and 12S rRNA), one PCG (ND1), and a putative CR (Fig. 5B). Of these gene rearrangements, three tRNA gene pairs (K-D, E-F, and C-Y) and two single tRNA genes (V and Q) are moved into the ND5 and ND4 junction (Fig. 5B①②⑥⑧⑨), forming an eight-tRNA cluster (V-Q-C-Y-K-D-E-F) if CR is not considered. The CR is shifted from the typical area between 12S rRNA and I to the V and Q junction (Fig. 5B⑦). A single H gene, one tRNA gene pair (T-P), and the ND1- L1-16S-12S gene cluster are moved to the position between S1 and ND5 (Fig. 5B③④⑤).

    Figure  5.  Gene arrangements in Cleistostoma dilatatum (A) and Euplax sp. (B) mitogenome.

    Currently, four widely-accepted mechanisms have been used to account for mitogenomic rearrangements, including tandem duplication and random loss (TDRL) model (Moritz and Brown, 1987), intramitochondrial recombination model (Poulton et al., 1993), tandem duplication and non-random loss model (Lavrov et al., 2002), and double replications and random loss model (Shi et al., 2014). How did the gene orders in these two newly sequenced mitogenomes emerge? Here, we proposed that the TDRL mechanism resulted in the generation of these two mitogenomes. The hypothesized intermediate steps are as follows. Firstly, the F-ND5-H genes underwent a complete copy, forming a dimeric block, (F-ND5-H)-(F-ND5-H). Consecutive copies were then followed by a random loss of the duplicated genes, forming a novel H-F-ND5 gene order (Fig. 6B). The H-F-ND5 gene cluster is a common phenomenon in the mitogenome of ancestral and most living species of Brachyura (Lu et al., 2020; Zhang et al., 2020b), including Portunidae, Grapsidae, Ocypodidae, Leucosiidae, Eriphiidae, and the C. dilatatum mitogenome in this study. In the second rearrangement event, the gene block from K to Y underwent a complete copy, forming a dimeric block (K-D-ATP8-ATP6-COIII-G-ND3-A-R-N-S1-E-H-F-ND5-ND4-ND4L-T-P-ND6-Cyt b-S2-ND1-L1-16S-V-12S-CR-I-Q-M-ND2-W-C-Y)-(K-D-ATP8-ATP6-COIII-G-ND3-A-R-N-S1-E-H-F-ND5-ND4-ND4L-T-P-ND6-Cyt b-S2-ND1-L1-16S-V-12S-CR-I-Q-M-ND2-W-C-Y). Consecutive copies were then followed by a random loss of supernumerary genes, forming a new gene block, (K-D-ATP8-ATP6-COIII-G-ND3-A-R-N-S1-E-F-ND4-ND4L-T-P-ND6-Cyt b-S2-ND1-L1-16S-12S-I-M-ND2-W-H-ND5-V-CR-Q-C-Y). In the following step, the newly formed gene block from K to Y underwent a second copy and likewise experienced a random loss of redundant genes. Finally, the ultimate gene arrangement in Euplax sp. mitogenome was generated (Fig. 6C), which is consistent with the ancestral gene arrangement of Varunidae and Macrophthalmidae (Wang et al., 2020). Summarily, all the rearrangement events mentioned above can be explained by TDRL model, which supposes that the rearranged gene order occurs via tandem duplications followed by random deletion of certain duplications (Moritz et al., 1987).

    Figure  6.  Inferred intermediate steps between the ancestral gene arrangement of crustaceans and two newly sequenced mitogenomes. The ancestral gene arrangement of crustaceans (A); the results of one tandem duplication and random loss (TDRL) event, the ancestral gene arrangement in Brachyuran mitogenome, and the final gene arrangement in Cleistostoma dilatatum mitogenome (B); the results of two TDRL events, the ancestral gene arrangement in Varunidae and Macrophthalmidae mitogenomes, and the final gene arrangement in Euplax sp. mitogenome (C). The duplicated gene block is underlined and the lost genes are labeled with gray.

    The phylogenetic trees obtained using BI and ML methods resulted in identical topological structures except for supporting values. Here, only one topology (BI) with both support values was presented (Fig. 7). The results show that all Macrophalmidae species cluster together as a group, wherein Euplax sp. shows the closest relationship with Macrophthalmus darwinensi. Our phylogenetic trees firstly show the evolutionary status of Camptandriidae that it has the most closely related relationship with Macrophalmidae. These two families (Camptandriidae and Macrophalmidae) as a group then form a sister clade with Varunidae. Macrophalmidae and Varunidae sharing exactly the same mitogenomic rearrangements gather together in the phylogenetic tree, which is in consistence with most molecular results (Chen et al., 2018; Wang et al., 2020; Zhang et al., 2021a). Camptandriidae mitogenome, however, capturing the conserved gene arrangement (ancestral gene arrangement of Brachyura) forms a clade with the taxa that share the identically large-scale gene rearrangements. Similar phenomena have been reported in increasing number of crab mitogenomes (Tan et al., 2018; Li et al., 2020; Zhang et al., 2020c, 2021b). For instance, our recent work found that two closely related species belonging to the same genus (D. arrosor and D. aspersus) possessed two different gene rearrangements (Zhang et al., 2021b). More complex situations exist in Potamidae mitogenomes (Zhang et al., 2020c). Thus it echoes the viewpoint that the mitogenomic gene rearrangement is likely a continuous and dynamic process and may occur very recently even after speciation events (Zhang et al., 2021b). Of course, since here C. dilatatum is the only species of the family Camptandriidae, the phylogenetic status of Camptandriidae and the aforesaid thought-provoking hypothesis should be confirmed with more species.

    Figure  7.  Phylogenetic tree of brachyuran species inferred from the nucleotide sequences of 13 PCGs based on maximum likelihood (ML) and Bayesian inference (BI) analyses. The node marked with a solid circle indicates 100 ML bootstrap support and 100% BI posterior probability. The numbers after the species name are the GenBank accession number.

    Of the 30 families in our phylogenetic tree, except for Xanthidae, Gecarcinidae, and Homolidae, each family forms a monophyletic clade (Fig. 7). Regarding the non-monophyly of Xanthidae, four Xanthidae species are divided into two clades. Three of them cluster together as a clade, and the remaining one (Leptodius sanguineus) forms a sister clade with the single representative of the family Oziidae (Epixanthus frontalis), which calls attention to authoritative identification of these two species (L. sanguineus and E. frontalis). Of course, the increasing samples of Oziidae will also help to clarify the suspicious classification and relationships. For two Gecarcinidae species, one of them (Gecarcoidea natalis) forms a sister clade with Sesarmidae species, and then clusters with the remaining one (Cardisoma carnifex). As far as the non-monophyly of Homolidae, the single representative of Latreilliidae (Latreillia valida) forms a sister clade with a member of the family Homolidae (Moloha majora), which calls attention to authoritative identification of L. valida. Furthermore, it is worth noting that almost one-third of the families (11/30) include only one representative, so the non-monophyly of relevant families should be treated with caution.

    Viewed from a higher taxonomic level, most superfamilies of Brachyura are found to be monophyletic, with the exception of Eriphioidea, Ocypodoidea, and Grapsoidea (Fig. 7). Although the polyphyly of the above three superfamilies is well supported in our phylogenetic tree, the interrelationships of these groups remain largely disputable. Regarding the interrelationships among Ocypodoidea and Grapsoidea, no consensus has been reached in current studies. For example, Sesarmidae (Grapsoidea) have a close relationship with Gecarcinidae (Grapsoidea), and Dotillidae (Ocypodoidea) form a sister clade with Grapsidae (Grapsoidea) in our phylogenetic tree. However, in Tan et al. (2018) , Sesarmidae (Grapsoidea) first clustered with Dotillidae (Ocypodoidea), and then formed a sister clade with Gecarcinidae (Grapsoidea). While in Wang et al. (2020) , Dotillidae (Ocypodoidea) and Xenograpsidae (Grapsoidea) formed a sister clade, and then clustered with Sesarmidae (Grapsoidea). These three families as a group then formed a clade with Gecarcinidae (Grapsoidea). Therefore, more sampling across a breadth of taxonomic groups and integration of additional molecular data need to be mined in order to substantially resolve the interrelationships of these groups.

    In this study, two newly sequenced mitogenomes of Ocypodoidea, C. dilatatum and Euplax sp., were reported for the first time. TDRL model is proposed to be involved in the evolution of these two mitochondrial gene rearrangements. Comparative mitogenomic analyses of the species clustering in one branch in the tree display two types of gene arrangements. The dN/dS ratio analysis of all PCGs indicates that purifying selection plays a leading role in the evolution of mitochondrial PCGs. Phylogenetic analyses show that Camptandriidae and Macrophalmidae are the most closely related species, and the polyphyly of three superfamilies (Ocypodoidea, Eriphioidea, and Grapsoidea) is well supported. Nevertheless, large-scale taxonomic samplings are still needed to confirm the phylogenetic status of Camptandriidae and the non-monophyly of relative families due to limited representatives. Also, the authentic relationships within Brachyura will be better understood with the help of increasing samplings and data.

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