{'fraction_non_alphanumeric': 0.042720417633410675, 'fraction_numerical': 0.026711136890951274, 'mean_word_length': 4.733455271034253, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 1, 'https://': 1, 'lorem ipsum': 0, 'www.': 1, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 4, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Genome-wide identification and classification of MIKC-type MADS-box genes in Streptophyte lineages and expression analyses to reveal their role in seed germination of orchid

Background MADS-box genes play crucial roles in plant floral organ formation and plant reproductive development. However, there is still no information on genome-wide identification and classification of MADS-box genes in some representative plant species. A comprehensive investigation of MIKC-type genes in the orchid Dendrobium officinale is still lacking. Results Here we conducted a genome-wide analysis of MADS-box proteins from 29 species. In total, 1689 MADS-box proteins were identified. Two types of MADS-box genes, termed type I and II, were found in land plants, but not in liverwort. The SQUA, DEF/GLO, AG and SEP subfamilies existed in all the tested flowering plants, while SQUA was absent in the gymnosperm Ginkgo biloba, and no genes of the four subfamilies were found in a charophyte, liverwort, mosses, or lycophyte. This strongly corroborates the notion that clades of floral organ identity genes led to the evolution of flower development in flowering plants. Nine subfamilies of MIKCC genes were present in two orchids, D. officinale and Phalaenopsis equestris, while the TM8, FLC, AGL15 and AGL12 subfamilies may be lost. In addition, the four clades of floral organ identity genes in both orchids displayed a conservative and divergent expression pattern. Only three MIKC-type genes were induced by cold stress in D. officinale while 15 MIKC-type genes showed different levels of expression during seed germination. Conclusions MIKC-type genes were identified from streptophyte lineages, revealing new insights into their evolution and development relationships. Our results show a novel role of MIKC-type genes in seed germination and provide a useful clue for future research on seed germination in orchids. Electronic supplementary material The online version of this article (10.1186/s12870-019-1836-5) contains supplementary material, which is available to authorized users.


Background
The regulation of gene expression is a complex control mechanism that is coordinated by a number of mechanisms, including by transcription factors (TFs). TFs specifically recognize cis-regulatory regions of target genes, then regulate their expression in a way that leads to a wide range of physiological and biochemical processes.
They also modulate developmental processes in plants [1]. MADS-box TFs, an ancient family of TFs found in both green algae charophyceans and land plants, play an essential role in the evolution of flower architecture [2,3]. MADS-box genes encode proteins that share a highly conservative DNA-binding domain, the MADS domain, which recognizes similar 10-bp A/T-rich DNA sequences, the CArG-box [4].
In plants, MADS-box genes can be divided into two distinct groups, namely type I and type II lineages: type I MADS-box proteins have no keratin-like (K) domain and only have the MADS (M) domain, whereas type II proteins also possess an intervening (I) domain, a K domain, and a C-terminal region followed by an M domain [15]. The type II MADS-box proteins are also known as MIKC-type MADS-box proteins in plants, comprising MIKC C and MIKC* proteins [15,16]. The MIKC C proteins can be further subdivided into at least 13 distinct subfamilies (AG, AGL6, AGL12, AGL15, AGL17, BS, DEF/GLO, FLC, SEP, SQUA, SVP, TM3/SOC1 and TM8) on the basis of phylogenetic analysis [15].
The function of type I MADS-box genes is unclear. However, type II MADS genes are well studied and play a crucial role in the control of flower development. Investigations of type II MADS genes have led to the establishment of a well know model for the development of floral organs, the ABCDE model. A + E class genes establish the identity of sepals, A + B + E class genes establish the identity of petals, B + C + E class genes establish the identity of stamens, and D + E class genes establish the identity of carpels. ABCDE homeotic genes have been comprehensively studied in angiosperms, particularly in Antirrhinum majus and A. thaliana [17]. In Arabidopsis, AP1 is an A class gene, AP3 and PI are B class genes, AG is a C class gene, STK and SHP1/2 are D class genes, and SEP1-4 are E class genes [18]. The expression of ABCDE class genes is specific to different floral organs. For example, AP3 and PI homologs are expressed in petals and stamens, AG homologs are expressed in stamens and carpels, while SEP homologs are expressed in all floral organs in angiosperms, even in basal angiosperms [18][19][20][21]. MADS-box genes serve an important function by linking evolution and development, and should aid in understanding the mechanisms underlying flower formation while providing a foundation for analyzing variations in plant floral architecture. Therefore, it is important to investigate how MADS-box genes have evolved in plants.
To obtain a comprehensive view of MADS-box genes in plants, in this study we conducted a genome-wide identification of MADS-box genes from a broad range of plants across six lineages, including chlorophytes, a charophyte, a liverwort, mosses, a lycophyte, a gymnosperm and representatives of several angiosperm plant lineages whose genomes were available. The representative species, which belong to six lineages of plants (chlorophytes, charophyte, liverwort, mosses, lycophyte, gymnosperm) were selected to analyze as much of their genomes as was available. The species from the angiosperm lineage were selected because of their importance in human life. Genomic sequencing technology and bioinformatics tools have become faster and more efficient, and thus increasingly more genomic sequences of plants are currently available. Therefore, it is necessary to reanalyze MADS-box genes in important as well as a wide range of plant species, as has been done in this study, to identify this gene family in other plant species to reveal its evolution.
Orchids belong to the Orchidaceae and have unique floral patterning, particularly floral structures and organ identity. The labellum (the 'lip') and gynostemium (the 'column' , a fused structure consisting of stamens and pistils) reflect unique development of orchid flowers. Several studies have isolated and analyzed of ABCE genes in orchids [22]. For example, the ABCE function genes in Dendrobium [23][24][25], B function genes (AP3 and PI lineages) in Oncidium [26], B and E function genes in Cymbidium [27], and B (AP3 lineages) in Phalaenopsis [28] were identified by RT-PCR and characterized. Dendrobium officinale and Phalaenopsis equestris are two important orchids with ornamental value. Dendrobium and Phalaenopsis diverged roughly 40 million years ago (Ma) [29]. The sizes of both P. equestris and D. officinale genomes are similar and exceed 1.1 gigabytes (Gb). The size of the P. equestris genome is 1.16 Gb, which was assessed by a whole-genome shotgun sequence and assembly strategy [30]. The size of the D. officinale genome is 1.11 Gb and was assessed by a K-mer analysis [31]. In this study, the ABCE genes of two orchids were identified using whole genomes, and phylogenetic and comparative expression analyses were performed. The expression patterns of MIKC genes in D. officinale under cold stress and during seed germination were also analyzed. These results may provide important information to understand the conservation and divergence of these genes' functions, providing clues to explore the function of this gene family.

Identification of MADS-box genes in multiple plant species
In total, 1689 MADS-box genes, including 684 type I and 1001 type II MADS-box genes, as well as four MADS-box genes from chlorophytes, were identified from entire genome sequences of 29 plant species ( Fig. 1; Additional file 1: Table S1). Lower plant (chlorophyte) lineages had no or few MADS-box genes in their genomes. For example, no MADS-box gene was found in Dunaliella salina, only one MADS-box gene was observed in Micromonas pusilla and in Chlamydomonas reinhardtii, and there were just two MADS-box genes in Volvox carteri (Fig. 1). All four MADS-box genes from chlorophyte lineages only contain the M domain, and have no I, K, or C domains (Additional file 2: Figure S1), which agrees with findings in other green algae belonging to the chlorophyte lineage [5]. The basal streptophyte, K. nitens has only one MADS-box gene, which is a type II MADS-box TF that contains the M, I, K, and C domains (Additional file 3: Figure S2). The type I genes were detected in the genomes of all mosses, the lycophyte, the gymnosperm and angiosperms, but not in the charophyte and liverwort (Fig. 1). However, type II genes were widely present among all streptophyte lineages ( Fig. 1). In addition, the number of MADS-box genes in angiosperms were numerous, ranging from 33 (A. trichopoda) to 169 (M. domestica), but only one or two in algae (Fig. 1).
Phylogenetic analysis, classification of type II (MIKC-type) genes, and analysis of the ABCDE genes in Streptophytes To understand the classification and evolution of plant MIKC-type genes, we conducted phylogenetic analyses with all 1001 MIKC-type genes found in this study from streptophyte lineages. Based on phylogenetic reconstructions of MIKC-type members from alignments of fulllength MIKC-type protein sequences, they were classified into the MIKC* and MIKC C groups (Additional file 5: Figure S3). The MIKC C group was further divided into 13 major subfamilies, namely AGL6, AGL12, AGL15, AGL17, SQUA, DEF/GLO, AG, SEP, TM3/SOC1, BS, SVP, FLC and TM8 ( Fig. 2; Additional file 6: Figure S4), in agreement with previous findings [15]. Only a single MADS-box gene (GAQ89767.1) was found in the charophyte K. nitens, which falls into the SVP clade, with Fig. 1 The corresponding number of type I, type II and total MADS-box genes for each plant species identified in this study. The tree topology reflects a consensus of plant phylogenies [32]. The '?' indicates that the genes contained an M domain, but shared low identity with other MADSbox proteins in higher plants weak bootstrap support (34%) by phylogenetic analysis (Additional file 7: Figure S5). Moreover, only one MIKC C gene in the liverwort falls into the SVP subfamily (Additional file 8: Figure S6). This indicates that the ancestral homologs of the SVP gene evolved before the divergence of the charophyte algae lineages from land plant lineages and suggests that the ancestral charophyte emerged with one or only a few MIKC C genes, and that MIKC proteins of all modern land plants descended and radiated from these predecessors by gene duplications, as was suggested by Tanabe et al. [3].
Among the 13 subfamilies, SQUA (A class), DEF/GLO (B class), AG (C/D class) and SEP (E class) subfamily genes are well known for their critical roles in flower development [35]. The evolution of the flower itself is suggested to be connected to the evolution of corresponding lineages. As expected, the plant taxonomic groups from charophytes, through to bryophytes and lycophytes, have no SQUA, DEF/GLO, AG and SEP subfamily genes, which are present in all flowering plants, while the gymnosperm Ginkgo, which has no flowers, only contains DEF/GLO, AG and SEP subfamily genes ( Fig. 3).

Phylogenetic analysis of MIKC-type genes in orchids
Analysis of MIKC-type genes in orchids would help to understand the mechanisms of flower formation and provide a foundation for analyzing the diversification of flower structure. A total of 41 and 34 MIKCtype genes were identified in D. officinale and P. equestris, and could be divided into MIKC* and MIKC C groups. There were 33 and 30 MIKC C genes from D. officinale and P. equestris, respectively. Phylogenetic analysis shows that the MIKC C genes in both orchids could be divided into nine major subfamilies, SQUA, DEF/GLO, AG, BS, SEP, AGL6, AGL17, TM3/ SOC1 and SVP (Fig. 4). The number of genes in each subfamily of both orchids is similar. For example, the DEF/GLO, AG, SEP and AGL6 subfamilies contained the same number of genes (5, 4, 5 and 1, respectively) in both orchids. The TM8, FLC, AGL12 and AGL15 genes were not found in D. officinale or P. equestris.  [33] with the NJ method based on alignments by MAFFT 7 [34]. The phylogenetic tree containing bootstrap values can be observed in Additional file 6: Figure S4 Other monocots such as rice and B. distachyon had no FLC members or AG15 subfamily members but contained AGL12 subfamily genes [13,14].

Characterization of ABCE genes in two orchids
Genetic and molecular studies in core eudicots and monocots, as well as basal angiosperms, support a strong correlation between the expression pattern and function of ABCE class genes [17,20,[36][37][38][39][40]. It is well known that ABCE function genes play a key role in the identity floral organs, including sepals, petals, and stamens, which in orchids differ considerably from other plants. By comparing and analyzing the expression of ABCE genes in two important orchid genera would help to understand the divergence of their gene function.
A phylogenetic reconstruction shows that the SQUA genes could be divided into dicot and monocot clades (Fig. 5A). All orchid SQUA genes did not display flowerspecific expression patterns, and in some cases (PeAGL11-13, DoAGL16, DoAGL17 and DoAGL19), they even had relatively lower expression in sepals (Fig. 5A).
The SQUA genes (PeAGL11-13) in P. equestris had a relatively low level of expression in all the organs and relatively strong expression in the column (Fig. 5A). DoAGL18 and DoAGL19 were detected in all organs and were strongly expressed in stems and leaves (Fig. 5A). DoAGL16 was only detected in leaves and DoAGL17 was strongly expressed in roots and stems (Fig. 5A).
The B class genes are required for the establishment of petal and stamen identity. AP3 and PI homologues were recognized as two subclades of B-function genes. Only one PI homologue gene each was found in D. officinale and P. equestris, while at least four AP3 homologues were present in the two orchids (Fig. 5B). The PI homologues DoAGL34 and PeAGL26 were expressed in all four floral organs (sepals, petals, lips and the column) as well as in vegetative organs (roots, stems and leaves) with a similar expression pattern (Fig. 5B). Similarly, the PI homologue OMADS3 from Oncidium Gower Ramsey was expressed in all four floral organs as well as in vegetative tissue (leaves) [26]. The AP3 subclade genes were specific to flowers and displayed similar expression The corresponding number of SQUA, DEF/GLO, AG and SEP subfamily MADS-box genes for each streptophyta lineage identified in this study. The tree topology reflects a consensus of streptophyta phylogenies [32] patterns in both orchids. This reveals a possible positive role for AP3 genes in the regulation of sepal, petal, lip and column formation in orchids.
DoAGL21 and DoAGL22 from D. officinale, while PeAGL17 and PeAGL18 were identified as AG-lineage genes from P. equestris (Fig. 5C). DoAGL21 was expressed only in the column and floral buds but DoAGL22 and PeAGL17 were expressed in petals and predominantly in the column (Fig. 5C). Consistent with the requirement of AG lineages for normal stamen development [41], AG was expressed in the stamens in both orchids. We suggest that the C function genes are highly conserved among orchids and play an essential role in the regulation of stamen formation.
In this study, the SEP subfamily could be divided into two clades in orchids, SEP1/2 and SEP3 (Fig. 5D). SEP genes DoAGL9-13 from D. officinale were detected in roots, stems, and leaves of the reproductive stage and in flowers, with strong expression in floral buds, sepals, petals, lips and the column (Fig. 5D). DoAGL10 was detected in floral buds, sepals, petals, lips and the column, although it showed relatively lower expression in lips than in sepals, petals, and the column (Fig. 5D). The four SEP subfamily genes (PeAGL5-8) from P. equestris were expressed in all floral organs, with relatively higher expression in flower buds, sepals and petals than in the lips and stamen (Fig. 5D). The other two SEP genes (DoAGL9 and DoAGL10) belonging to the SEP1/2 clade and with a similar expression pattern, were detected in stems and floral organs (Fig. 5D). This result indicates that DoAGL9 and DoAGL10 possibly oversee similar biological functions.  and FLC subfamilies were lost from the two orchids. The phylogenetic tree was constructed using MEGA 7 [33] based on the alignment of MADS-box proteins by MAFFT 7 [34] with the NJ method. Numbers besides branches represent bootstrap support values from 1000 replications and rice [14]. This spurred us to characterize the expression patterns of the MIKC-type genes in D. officinale. To analyze the expression of DoAGLs under cold stress, transcriptome sequencing data of D. officinale leaves were downloaded from the SRA database and used to calculated gene expression levels. Only three MIKC-type genes from the SUQA, SOC1 and DEF/GLO clades showed a cold-responsive expression pattern (Fig. 6), DoAGL18 in the SUQA subfamily was down-regulated 0.358-fold, while its homologs TM4 in tomato [42], and LcMADS1 and LcMADS2 in sheepgrass (Leymus chinensis) [43] exhibited an opposite expression pattern, being up-regulated by low temperatures. Two genes, DoAGL24 in the SOC1 subfamily and DoAGL27 in the DEF/GLO subfamily, were up-regulated 1.51-and 1.60-fold, respectively more than the control. This result is consistent with DEF/GLO lineages LcMADS5 from sheepgrass [44] and TM6 from tomato [42] which were up-regulated in response to cold stress. In Brassica rapa, five SOC1 homologss (BrMADS36, − 38, − 39, − 40 and − 44) were induced by cold stress [45]. This result suggests that some MIKCtype genes may play a role in the response of D. officinale to low temperature stress while the genes inducible by cold stress are diverse across plant species. The expression of eight MIKC-type genes (DoAGL07, − 16, − 17, − 19, − 25, − 28, − 29 and DoAGL34) was not different with the control under cold stress (Additional file 9: Table S3). Finally, the remaining 30 genes displayed very low expression or were not detected by RNA-seq (Additional file 9: Table S3).
Transcript analysis of D. officinale MIKC genes during seed germination While the involvement of MIKC genes in the regulation of floral organ development has been well established, their involvement in seed germination is largely unknown. Only two MIKC genes FLC/AGL25 and AGL21in A. thaliana were shown to be involved in seed germination by influencing the ABA catabolic pathway and regulating ABA signaling [46,47]. However, no FLC subfamily genes have been found in orchids, such as Apostasia odorata [48], P. equestris and D. officinale (Fig. 4). This indicates that the manner in which MIKC genes regulate seed germination in orchids may differ from A. thaliana. Based on this, the expression of MIKC genes in D. officinale during four seed germination stages were analyzed. Six MIKC genes (DoAGL10, − 13, − 19, − 21, − 25, 30 and − 37) were down-regulated while four MIKC genes (DoAGL17, − 18 and − 32) were upregulated in S2-S4 ( Fig. 7; Additional file 10: Table S4). The SVP subfamily gene DoAGL27 was not detected in S1, but was detected in S2-4, with highest expression in S3 ( Fig. 7; Additional file 10: Table S4). S4 is the stage in which leaves first emerge and a seedling is established. Two SQUA subfamily genes DoAGL17 and DoAGL18 showed a higher level of expression at S2-S4, while DoAGL19 expression was down-regulated in S2-S4 ( Fig. 7; Additional file 10: Table S4). This suggests diverse functions of SQUA subfamily genes in D. officinale. One DEF/ GLO clade gene DoAGL32 had a low level of expression (FPKM = 1) in S1, but showed a high level of expression in S2-S4 (FPKM S2 = 154; FPKM S3 = 168; FPKM S4 = 325), suggesting that DoAGL32 may play an important role in seed germination. In this study, a MIKC* gene DoAGL7 showed more than a 1.5-fold change in S3 and S4 than S1 (Fig. 7), suggesting that it may play a role during seed germination.

Identification and classification of the MADS-box genes in plants
MADS-box genes have been reidentified in several plant species in this study (details are listed in Additional file 4: Table S2). A total of 108 MADS-box genes were identified from A. thaliana and 160 from Chinese cabbage (B. rapa), agreeing with the number of MADS-box genes in previous reports [9,10]. Arora et al. [14] reported a genome-wide identification and annotation of rice MADS-box genes using the TIGR pseudomolecules release 4 (released on January 12, 2006) [49]. In our study, a total of 73 MADS-box genes were found in rice using the current genome assembly (MSU Release 7) [50]. Compared with the previous annotation of MADS-box genes in rice, four genes (LOC_Os02g01355, LOC_ Os02g01365, LOC_Os06g01890 and LOC_Os11g12360) not previously annotated as MADS-box genes, were identified. LOC_Os02g01355 and LOC_Os02g01365, which shared the same amino acids and are located on the same chromosome, were regarded as redundant duplicate genes, so LOC_Os02g01355 was removed. Moreover, two MADS-box genes (LOC_Os12g31010 and LOC_Os08g20460) present in the previous study were absent from the latest rice peptide file and were thus excluded from our study. In addition, two genes LOC_Os01g68420 and LOC_Os02g01360 that were previously regarded as MADS-box genes, but that had low identity (less than 38%) with other MADS-box genes and have no M domain or K domain after BLAST analysis in the NCBI database, were excluded from this study. Our result provides more accurate and precise information about the MADS-box family in rice that will help to understand the role of this gene family in reproductive development. In maize, 75 MADS-box genes were found in a previous study [12] while 87 were found in our study, expanding the list by 12.
The MADS-box genes identified from plants in this study, except for the chlorophytes and charophytes, could be divided into two distinct types, type I (SRF-like) and type II (MEF2-like), as in animals and fungi [51]. The type II genes were isolated from three charophycean green algae [3]. It was previously proposed that two main lineages (type I and type II) of MADS-box genes already existed before the divergence of plants and animals/fungi [52].

The diversification of MIKC-type genes in Streptophyte lineages
The TM8 subfamily was present in the gymnosperm G. biloba, basal angiosperms A. trichopoda and Nelumbo nucifera, and some eudicots Citrus clementina, Malus x domestica, Pyrus x bretschneideri and V. vinifera, but absent in eudicots A. thaliana and Chinese cabbage (Additional file 1: Table S1), consistent with previous findings in A. thaliana [9], Chinese cabbage [10], V. vinifera [53], A. trichopoda [54] and G. biloba [55]. In addition, the monocot Zea mays had one exclusive gene, TM8 (GRMZM2G137289_P01; Additional file 1: Table S1). This suggests that the TM8 subfamily may have been lost during the evolution of some monocots and some eudicots. The MIKC* type genes were found in all streptophyte lineages excluding charophyte algae (Additional file 1: Table S1). The liverwort M. polymorpha, regarded as the earliest diverging land plant [6], has only a single MIKC* gene. AGL15 subfamily genes were present in bryophytes, lycophytes, a gymnosperm, basal angiosperms and eudicots, but were absent in monocots (Additional file 1: Table S1). This is consistent with a report in which the AGL15 clade genes were found in gymnosperms [56,57] and eudicots [9], but were absent in monocots [58]. The AGL15 subfamily genes may have been lost during the evolution of monocot lineages. The DEF/GLO genes were found in other gymnosperms such as the conifer Pinus radiata [59] and a gnetale Gnetum gnemon [60]. SQUA subfamily genes were not found in Ginkgo in this study, and they were also not found in previous studies [56,61]. The SQUA subfamily genes were also absent in two other gymnosperms, Pinus taeda and Pinus sylvestris [56]. We suggest that the Afunction genes were present after the divergence of angiosperms and gymnosperms and that B-, C-and Efunction genes arose before the divergence of angiosperms and gymnosperms.

The functional divergence and conservation of MIKC C genes in orchids
Both AGL12 and FLC control the flowering transition and act as an enhancer and repressor, respectively in A. thaliana flowering time. XAL1 (AGL12) plays an important role in flowering transition, and the lateflowering phenotypes of the xal1 mutants are able to grow under long days [62]. FLC plays a key role in the initiation of flowering in A. thaliana, i.e., flc mutations have early flowering phenotypes [63]. The homologues of cereals (wheat and barley) VRN1, FT/VRN3, and A. thaliana AGL19, acted as key players in vernalization pathways, while those found in Dendrobium nobile were regulated by vernalization [64]. The AGL12 and FLC subfamily genes were absent in these two orchids D. officinale and P. equestris, indicating that the regulation of genes during the flowering transition in orchids is different to A. thaliana. More analyses are needed to confirm that AGL12 and FLC genes have been lost in the genomes of orchids and to determine the conservation and evolutionary importance of these genes. In dicots such as A. thaliana and A. majus, the A class genes, which are required for the development of sepals, show highest expression in sepals but their expression is absent in roots, stems and leaves [38,65]. However, the SQUA subfamily genes in monocots could be detected in vegetative tissues, the leaves. For example, a rice SQUA-like gene OsMADS18 is widely expressed in roots, leaves, inflorescences, and developing kernels [66]. We suggest, from our study, that SQUA-like genes underwent functional divergence in monocots and dicots, and even in orchids. The C-lineage was well demonstrated in stamen development in plants, displaying exclusive expression in stamens and carpels, such as in A. thaliana [67], Nicotiana tabacum [68] and Lilium longiflorum [69]. Only a single C-function gene was found in A. thaliana [67] and A. majus [70], which was essential for the specification of reproductive organs. However, at least two AG-lineages were found in orchids and were expressed predominantly in the column. One AG-lineage gene CeMADS1 from Cymbidium ensifolium was expressed exclusively in columns while another, CeMADS2, was detected in all floral organs with strong expression in columns, similar to two D. officinale AG-lineage genes [71]. Genetic and molecular studies have demonstrated that the SEP subfamily genes (SEP1/2/3/4) are required for the specification of identity of all four whorls of floral organs [17]. The flowers of A. thaliana sep1 sep2 sep3 triple mutant produced flowers without any petals, stamens and carpels, all of which were replaced by sepals, demonstrating that the SEP genes are required for the specification of petals, stamens, and carpels in Arabidopsis [17]. The SEP (PAP2) gene regulates spikelet meristem identity and development in rice [44]. The function E orthologous genes from D. officinale and P. equestris and other orchids such as Oncidium Gower Ramsey [72] and Dendrobium crumenatum [24] were detected in all floral organs and played a conserved role in floral organs development.
The MIKC-type genes might play a role in seed germination in D. officinale Some MIKC genes from D. offcinale showed a different expression during the seed germination, including SVP and SQUA subfamily genes, as well as the MIKC* gene. The SVP subfamily gene PkMADS1 from Paulownia kawakamii displayed an important role in shoot morphogenesis [73], suggesting that the SVP gene in D. officinale may have a similar function with other SVP clade genes and may play a role in vegetative shoot development. The function of the MIKC* gene is not well defined. Expression analysis provided clues that MIKC* genes play a role in gametophytic generation in S. moellendorffii, Funaria hygrometrica and Ceratopteris richardii [74,75], as well as pollen development in A. thaliana [76]. Liu et al. [77] provided evidence that the MIKC* gene in rice was involved in pollen maturation. However, a MIKC* gene showed a up-regulaed expression during seed germination and might play a role this important process in our study.

Conclusion
Genome-wide identification of 29 plant species allowed for the identification of a total of 1689 MADS-box genes. These MADS-box genes were divided into type I and type II (MIKC-type) clades. MIKC C -type genes, belonging to the MIKC-type clade, were divided into at least 13 subfamilies on the basis of their phylogenetic relationships. The SQUA (A class), AP/PI (B class), AG (C/D class) and SEP (E class) gene subfamilies were analyzed among a charophyte, a liverwort, mosses, a lycophyte, a gymnosperm and angiosperms, providing novel information that enriches our understanding of floral organ development and gene evolution. The expression patterns of ABCE genes in two orchids, as well as the expression pattern of cold stress and seed germination stage in D. officinale, were analyzed. This information will fortify our understanding of the conservation and divergence of the function of these genes, and allow floral ontogeny, stress response and seed germination in orchids to be further explained.

Methods
Plant materials and RNA isolation D. officinale plants used in this study were grown in South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China. Gene expression analysis was performed on D. officinale tissues: roots, stems, leaves, flower buds, lips, petals, sepals and columns. The roots, stems, leaves and floral organs were collected from 10 pots of D. officinale in the reproductive stage, then frozen in liquid nitrogen for 5 min and frozen at − 80°C for RNA isolation as quickly as possible. Total RNA was extracted from various organs with the RNA extraction kit, Column Plant RNAout2.0 (Tiandz, Inc., Beijing, China), according to the operating manual while contaminating DNA was removed by the RNase-Free DNase I Kit (TaKaRa, Dalian, China).

Identification of MADS-box genes
All the latest peptide files of the 29 species were downloaded from the online database to generate a local protein database (details of the versions and download websites are listed in Additional file 11: Table S5). The SRF-type TF domain model (PF00319) was obtained from the Pfam database (http://pfam.xfam.org/) and was used to build a hidden Markov model (HMM) file by using the HMMER3 software package under default parameters (http://hmmer.janelia.org/). MADS-box genes were identified through the HMM search program by using the HMM file searched against the local protein databases by HMMER3. The identified sequences were confirmed to be MADS-box proteins by annotating as a MADS-box protein either in the Uniprot database (https://www.uniprot.org/) or in the NCBI database. To ensure the accuracy of the results, the chromosomal localizations of all candidate MADS-box genes were checked and redundant sequences with the same chromosome location were removed.

Multiple sequence alignments
MAFFT version 7 software [34] was used to align multiple sequence of MADS-box proteins with default parameters to generate a multiple sequence alignment file in FASTA format. ClustalX 2.1 software [78] was used to align sequences and recheck the above results.

Classification of MADS-box genes by phylogenetic analysis
Phylogenetic and molecular evolutionary analyses of the MADS-box proteins were conducted using MEGA version 7 [33] based on the alignment of MADS-box proteins. The NJ method was used to construct phylogenetic trees in this study. To determine statistical reliability, we reconducted a bootstrap NJ tree by ClustalX 2.1 software [78] to recheck the classification of the MADS-box genes. MADS-box genes were classified according to their phylogenetic relationships with the corresponding Arabidopsis MADS-box genes.

Gene expression analysis
Total RNA reversion was carried out with the GoScript™ Reverse Transcription System (Promega, Madison, WI, USA) according to its protocols. Transcript levels were determined by semi-quantitative PCR using a Taq PCR Master Mix Kit (DreamTaq™ Green PCR Master Mix kit, TaKaRa, Dalian, China). One microliter of cDNA sample (about 400 ng/μL) from the RT reaction was used for PCR, consisting of 95°C for 2 min, followed by 40 cycles of denaturation at 98°C (10 s), annealing at 58°C (30 s), and extension at 72°C (60 s). Five microliters of PCR product in each reaction was analyzed by electrophoresis on 1% agarose gels. The primers of MADS-box genes were designed using Primer3.0 software (http://bioinfo. ut.ee/primer3-0.4.0/). To make the primers more specific, the sequences excluding highly conserved M domain sequences were used to the design of primers as much as possible. The specific primers of the MADSbox genes are listed in Additional file 12: Table S6. D. officinale actin (NCBI accession No. JX294908) was used as the internal control gene.
For expression analysis of SQUA, DEF/GLO, AG and SEP subfamily genes from P. equestris, raw sequencing reads of P. equestris samples (roots, stems, leaves, flower buds, sepals, petals, lips and columns) were obtained from the NCBI SRA (accession numbers SRR2080194, SRR2080204, SRR2080202, SRR2080200, SRR3602300, SRR3602299, SRR3602277, and SRR3600816) provided by Niu et al. [79]. Low quality reads were excluded from the raw reeds to generate clean reads, which were used to analyze gene expression. All clean reads were mapped with the nucleotide sequences of SQUA, DEF/GLO, AG and SEP subfamily genes using TopHat version 2.0.8 [80]. Gene expression level was calculated by the FPKM method using HTSeq [81].
For gene expression analysis under cold stress, the transcriptome sequencing data of D. offficinale leaves under cold stress (4°C) and control (20°C) (SRA, accession numbers SRR3210613, SRR3210621, SRR3210626, SRR3210630, SRR3210635 and SRR3210636) were downloaded from SRA, as provided by Wu et al. [82]. The raw reeds were cleaned and used to calculate the level of expression under cold stress as described above. Genes with a mean FPKM > 5 in control or treated leaves were used to calculate fold change (mean of FPKM treated leaves / mean of FPKM control leaves).