Literature DB >> 29483849

Comparative transcriptome reveal the potential adaptive evolutionary genes in Andrias davidianus.

Qiaomu Hu1, Quanhe Wang1,2, Yan Meng1, Haifeng Tian1, Hanbing Xiao1.   

Abstract

To search the evidence of molecular evolution mechanism for aquatic and cave habitat in Andrias davidianus, the evolution analysis was carried out among several species transcriptome data. The transcriptome data of Notophthalmus viridescens, Xenopus tropicalis, Cynops pyrrhogaster, Hynobius chinensis and A. davidianus were obtained from the Genbank and reassembled except Xenopus tropicalis. The BLAST search of transcriptome data obtained 1244 single-copy orthologous genes among five species. A phylogenetic tree showed A. davidianus to have the closest relationship to H. chinensis. Fourteen positively selected genes were detected in A. davidianus and N. vridescens group and fifteen in A. davidianus and H. chinensis group. Five genes were shared in the both groups which involved in the immune system, suggesting that A. davidianus adaptation to an aquatic and cave environment required rapid evolution of the immune system compared to N. viridescens and H. chinensis.

Entities:  

Keywords:  Adaptive genes; Andrias davidianus; Comparative transcriptome; Evolution analysis

Mesh:

Year:  2018        PMID: 29483849      PMCID: PMC5819198          DOI: 10.1186/s41065-018-0056-6

Source DB:  PubMed          Journal:  Hereditas        ISSN: 0018-0661            Impact factor:   3.271


Background

Amphibians played an important role as a transitional group linking aquatic to terrestrial in the evolution of vertebrates [1]. To elucidate evolutionary history, the genome and mitochondrial DNA are traditionally used to estimate divergence time [2]. Transcriptome sequencing has become a viable alternative to provide rapid developing genomic resources in non-model organisms [3, 4]. Comparative transcriptome analysis is used to estimate the non-synonymous substitution (Ka) and synonymous substitution (Ks) rates to calculate the evolutionary rate [5, 6] and hence, to identify genes involved in environmental adaptation. Distribution of synonymous substitutions can be used to calculate the divergent time based on the coding sequence [2, 7]. The Chinese giant salamander Andrias davidianus is a typical urodele, and an important species both as a biological resource and with respect to its value as a living fossil [8]. The species was historically widespread in China, but environmental degradation and human killing have led to its severe decline in the wild. From 1980s, it is classified as endangered by the International Union for Conservation of Nature and Nature Resources. Because of its irreplaceable protection status and good taste, artificial propagation technology was studied and succeeded at the end of 1990s. Success of artificial propagation technology provided a value way to protect the wild resources. In wild, it is aquatic in all life stages and typically inhabits rocky crevices in banks of streams and lakes, as well as subterranean rivers. To identify genes possibly related to A. davidianus adaptation to its aquatic life history and to a cave habitat, transcriptome data of other amphibian species were obtained from GenBank, and comparative transcriptome analysis was carried out to detect genes positively selected for in evolution.

Methods

RNA extraction and sequencing

Total RNA was extracted from five ovaries and testes using Trizol reagent (Invitrogen, USA) according manufacturer’s instructions and treated with RNase-free DNase I (Takara, China) to remove the genomic DNA, respectively. After RNA quality and quantity test, RNA was broken into short fragment, and first-strand cDNA was synthesized, and then the sequencing adapter was added. The cDNA libraries were constructed and sequenced on the Illumina sequencing platform (Illumina HiSeq™ 2500). All raw reads, low quality sequences, and reads containing adaptor sequences were removed, and the clean reads were obtained.

Identification of orthologues genes and phylogenetic analysis

Two gonad transcriptome data (SRR3308418 and SRR3308420) of A. davidianus were provided by my lab. To expand data of A. davidianus, transcriptome data of skin (SRX729810) and spleen (SRX729743) were obtained from NCBI database and reassembled with the gonad transcriptome data. Transcriptome data of N. viridescens from heart, lens, brain, eye, liver, lung, spleen, kidney, testis, and ovary (ERR108189), C. pyrrhogaster lens and neural retina (SRR1051839), H. chinensis whole body (SRR1042328) and X. tropicalis from genome sequencing (GCA_000004195) were also obtained. The unigenes were reassembled from the downloaded raw reads, except for X. tropicalis. The numbers of unigenes for each species is given in Table 1. BLASTN software was used to align sequences, with the cutoff E-value set at 1e-7 [9]. OrthoMCL software was applied to classify the gene family [10]. Orthologous genes were obtained, and Venn diagrams were used to obtain the gene number [11]. The orthologous genes were used to construct the phylogenetic tree by the NJ method with 1000 bootstrap replications.
Table 1

Results of the assembly for each study species

SpeciesTranscriptomeN50GC %Max Length bpMin Length bpCDS
Xenopus tropicalis (XT)22,855241845.2194,44011422,718
Cynops pyrrhogaste (CP)122,913159644.6118,37920149,986
Notophthalmus viridescens (NV)31,99839244.48969720117,943
Hynobius chinensis (HC)103,80042647.5415,29320151,362
Andrias davidianus (AD)85,868149248.6117,74120143,402
Results of the assembly for each study species

Estimate of substitution rates among species

Form the orthologous gene, only one orthologous gene in other species was classed as single-copy orthologous by PERL package [12, 13]. The single-copy orthologous genes were identified to calculate the synonymous substitution rates (Ks) and non-synonymous rate (Ka). The amino acid sequences were aligned by Muscle software [14]. The aligned sequences were converted to corresponding nucleotide sequences. Synonymous substitution rates (Ks) and non-synonymous rates (Ka) were estimated between species pairs by sit model under Codeml program in PAML package [15]. The best threshold was set at 0.5 based on the Ka/Ks value according to previous reports [5, 6]. Value of two fold log-likelihood difference was used to perform a Chi-squared test and the difference of the parameter number was set as the degree in the Chi-squared. Positively selected sites were allowed when P was < 0.05 and posterior probability was > 0.95 [16]. A Ka/Ks value > 1 indicated strong positive selection, from 0.5 to 1 indicated weak positive selection, and a value < 0.1 indicated negative selection.

Results

Orthologue identification and phylogenetic analysis

To identify the phylogenetic relationship among the species, large-scale transcriptome characterizations were carried out for N. viridescens, X. tropicalis, C. pyrrhogaster, H. chinensis, and A. davidianus, and transcriptome data were downloaded and reassembled (Table 1). Comparative analysis yielded 4279 gene families and 34,246 putative orthologous genes (Fig.1). To construct the phylogenetic tree with X. tropicalis as out-group, 1244 single-copy orthologous genes were identified. The phylogenetic tree showed A. davidianus to have the closest relationship to H. chinensis, with N. viridescens and C. pyrrhogaster clustered on one separate branch (Additional file 1: Figure S1).
Fig. 1

Venn diagrams showing the unigenes for comparative transcriptomes. The superscript indicates the protein family and the subscript indicates the unigenes

Venn diagrams showing the unigenes for comparative transcriptomes. The superscript indicates the protein family and the subscript indicates the unigenes

Evolutionary profile of Andrias davidianus genes

We analyzed the evolutionary pattern of 1244 single-copy orthologous genes in A. davidianus, H. chinensis, and N. viridescens. Synonymous (Ks) and non-synonymous (Ka) substitutions per site were observed (Fig. 2). A majority of sequence pairs showed a Ka /Ks < 0.5, implying that these genes involved negative selection. Fifteen rapidly evolving sequences were identified with Ka/Ks > 0.5 between A. davidianus and H. chinensis, and 14 such sites were observed between A. davidianus and N. viridescens (Additional file 2: Table S1).
Fig. 2

Ka/Ks ratio of 1244 single-copy orthologous genes. a. Ka/Ks distribution in Andrias davidianus and Hynobius chinensis, b. Ka/Ks distribution in Andrias davidianus and Notophthalmus viridescens. The solid line shows the threshold of Ka/Ks = 1, the dashed line marked the weak positive selection threshold of Ka/Ks = 0.5, and the short dashed line represented threshold of Ka/Ks = 0.1

Ka/Ks ratio of 1244 single-copy orthologous genes. a. Ka/Ks distribution in Andrias davidianus and Hynobius chinensis, b. Ka/Ks distribution in Andrias davidianus and Notophthalmus viridescens. The solid line shows the threshold of Ka/Ks = 1, the dashed line marked the weak positive selection threshold of Ka/Ks = 0.5, and the short dashed line represented threshold of Ka/Ks = 0.1

Discussion

Next-generation sequencing technology yielded a large number of sequences at the low cost and provides more sequences compared to traditional sequencing methods [17, 18]. Due to the cost and the throughput, genome-wide detection of the adaptive evolution gene was performed in many species by next-generation sequencing [17, 19]. Comparative phylogenetic analysis at the genome level improved the precision of evolutionary inference compared to single gene [20]. However, because of the large genome of the A. davidianus, evolutionary analysis by comparative genome was hard to carry out. Transcriptome sequencing was a valuable way to obtain large-scale sequences without reference genome [21, 22]. Phylogenetic analysis of transcriptome sequence data exhibited high supported tree topologies in many species [23, 24]. To elucidate the phylogenetic evolution of A. davidianus, comparative transcriptome analysis was conducted to construct the phylogenetic tree with X. tropicalis as out-group. To search adaptive gene for aquatic and cave life, molecular evolution was analyzed among the related species. Synonymous substitution rates (Ks) and non-synonymous substitution rates (Ka) were calculated according to the phylogenetic tree by PAML software [15, 25], with the optimal threshold for selecting the positively expressed sequence tag (EST) of 0.5 based on previous study [25]. Several positively selected genes were detected. Similar results were found in topmouth culter Erythroculter ilishaeformis and zebrafish Danio rerio, in which 38 candidate genes exhibited signs of positive selection with dN/dS ratios > 0.5 [6]. Five genes related to the immune system [26-29] [cystatin-like, oncostatin-M-specific receptor subunit beta isoform X1(OSMF), exonuclease, cell death regulator Aven, and centromere protein H] were detected in the A. davidianus/H. chinensis and A. davidianus/N. viridescens groups. Andrias davidianus is aquatic and inhabiting subterranean rivers and caves while N. viridescens and H. chinensis are mainly terrestrial and only special stage in water. Aquatic and cave dwelling organisms generally encounter more bacteria than do terrestrial animals. Thus, the A. davidianus immune system should show more rapid mutations, as was confirmed in our investigation. Due to lack of full-length according to the transcriptome sequencing, many gene relevant to positive selection was omitted and Ka/Ks ratio was decreased from normal level [6]. Further study will be carried out to identify the genes under positive selection. Figure S1. Phylogenetic tree of selected species based on 1244 single-copy orthologous genes. (TIFF 212 kb) Table S1. Orthologs gene under positive selection among species. (DOCX 18 kb)
  28 in total

1.  A greedy algorithm for aligning DNA sequences.

Authors:  Z Zhang; S Schwartz; L Wagner; W Miller
Journal:  J Comput Biol       Date:  2000 Feb-Apr       Impact factor: 1.479

2.  Phylogeny, evolution, and biogeography of Asiatic Salamanders (Hynobiidae).

Authors:  Peng Zhang; Yue-Qin Chen; Hui Zhou; Yi-Fei Liu; Xiu-Ling Wang; Theodore J Papenfuss; David B Wake; Liang-Hu Qu
Journal:  Proc Natl Acad Sci U S A       Date:  2006-04-28       Impact factor: 11.205

3.  PAML 4: phylogenetic analysis by maximum likelihood.

Authors:  Ziheng Yang
Journal:  Mol Biol Evol       Date:  2007-05-04       Impact factor: 16.240

4.  The genome and transcriptome of Japanese flounder provide insights into flatfish asymmetry.

Authors:  Changwei Shao; Baolong Bao; Zhiyuan Xie; Xinye Chen; Bo Li; Xiaodong Jia; Qiulin Yao; Guillermo Ortí; Wenhui Li; Xihong Li; Kristin Hamre; Juan Xu; Lei Wang; Fangyuan Chen; Yongsheng Tian; Alex M Schreiber; Na Wang; Fen Wei; Jilin Zhang; Zhongdian Dong; Lei Gao; Junwei Gai; Takashi Sakamoto; Sudong Mo; Wenjun Chen; Qiong Shi; Hui Li; Yunji Xiu; Yangzhen Li; Wenteng Xu; Zhiyi Shi; Guojie Zhang; Deborah M Power; Qingyin Wang; Manfred Schartl; Songlin Chen
Journal:  Nat Genet       Date:  2016-12-05       Impact factor: 38.330

5.  A 454 sequencing approach for large scale phylogenomic analysis of the common emperor scorpion (Pandinus imperator).

Authors:  Falko Roeding; Janus Borner; Michael Kube; Sven Klages; Richard Reinhardt; Thorsten Burmester
Journal:  Mol Phylogenet Evol       Date:  2009-08-18       Impact factor: 4.286

6.  OrthoMCL: identification of ortholog groups for eukaryotic genomes.

Authors:  Li Li; Christian J Stoeckert; David S Roos
Journal:  Genome Res       Date:  2003-09       Impact factor: 9.043

7.  Large-scale transcriptome analysis in chickpea (Cicer arietinum L.), an orphan legume crop of the semi-arid tropics of Asia and Africa.

Authors:  Pavana J Hiremath; Andrew Farmer; Steven B Cannon; Jimmy Woodward; Himabindu Kudapa; Reetu Tuteja; Ashish Kumar; Amindala Bhanuprakash; Benjamin Mulaosmanovic; Neha Gujaria; Laxmanan Krishnamurthy; Pooran M Gaur; Polavarapu B Kavikishor; Trushar Shah; Ramamurthy Srinivasan; Marc Lohse; Yongli Xiao; Christopher D Town; Douglas R Cook; Gregory D May; Rajeev K Varshney
Journal:  Plant Biotechnol J       Date:  2011-05-25       Impact factor: 9.803

8.  European sea bass genome and its variation provide insights into adaptation to euryhalinity and speciation.

Authors:  Mbaye Tine; Heiner Kuhl; Pierre-Alexandre Gagnaire; Bruno Louro; Erick Desmarais; Rute S T Martins; Jochen Hecht; Florian Knaust; Khalid Belkhir; Sven Klages; Roland Dieterich; Kurt Stueber; Francesc Piferrer; Bruno Guinand; Nicolas Bierne; Filip A M Volckaert; Luca Bargelloni; Deborah M Power; François Bonhomme; Adelino V M Canario; Richard Reinhardt
Journal:  Nat Commun       Date:  2014-12-23       Impact factor: 14.919

9.  Statistical methods for detecting molecular adaptation.

Authors: 
Journal:  Trends Ecol Evol       Date:  2000-12-01       Impact factor: 17.712

10.  Evolution of genes and genomes on the Drosophila phylogeny.

Authors:  Andrew G Clark; Michael B Eisen; Douglas R Smith; Casey M Bergman; Brian Oliver; Therese A Markow; Thomas C Kaufman; Manolis Kellis; William Gelbart; Venky N Iyer; Daniel A Pollard; Timothy B Sackton; Amanda M Larracuente; Nadia D Singh; Jose P Abad; Dawn N Abt; Boris Adryan; Montserrat Aguade; Hiroshi Akashi; Wyatt W Anderson; Charles F Aquadro; David H Ardell; Roman Arguello; Carlo G Artieri; Daniel A Barbash; Daniel Barker; Paolo Barsanti; Phil Batterham; Serafim Batzoglou; Dave Begun; Arjun Bhutkar; Enrico Blanco; Stephanie A Bosak; Robert K Bradley; Adrianne D Brand; Michael R Brent; Angela N Brooks; Randall H Brown; Roger K Butlin; Corrado Caggese; Brian R Calvi; A Bernardo de Carvalho; Anat Caspi; Sergio Castrezana; Susan E Celniker; Jean L Chang; Charles Chapple; Sourav Chatterji; Asif Chinwalla; Alberto Civetta; Sandra W Clifton; Josep M Comeron; James C Costello; Jerry A Coyne; Jennifer Daub; Robert G David; Arthur L Delcher; Kim Delehaunty; Chuong B Do; Heather Ebling; Kevin Edwards; Thomas Eickbush; Jay D Evans; Alan Filipski; Sven Findeiss; Eva Freyhult; Lucinda Fulton; Robert Fulton; Ana C L Garcia; Anastasia Gardiner; David A Garfield; Barry E Garvin; Greg Gibson; Don Gilbert; Sante Gnerre; Jennifer Godfrey; Robert Good; Valer Gotea; Brenton Gravely; Anthony J Greenberg; Sam Griffiths-Jones; Samuel Gross; Roderic Guigo; Erik A Gustafson; Wilfried Haerty; Matthew W Hahn; Daniel L Halligan; Aaron L Halpern; Gillian M Halter; Mira V Han; Andreas Heger; LaDeana Hillier; Angie S Hinrichs; Ian Holmes; Roger A Hoskins; Melissa J Hubisz; Dan Hultmark; Melanie A Huntley; David B Jaffe; Santosh Jagadeeshan; William R Jeck; Justin Johnson; Corbin D Jones; William C Jordan; Gary H Karpen; Eiko Kataoka; Peter D Keightley; Pouya Kheradpour; Ewen F Kirkness; Leonardo B Koerich; Karsten Kristiansen; Dave Kudrna; Rob J Kulathinal; Sudhir Kumar; Roberta Kwok; Eric Lander; Charles H Langley; Richard Lapoint; Brian P Lazzaro; So-Jeong Lee; Lisa Levesque; Ruiqiang Li; Chiao-Feng Lin; Michael F Lin; Kerstin Lindblad-Toh; Ana Llopart; Manyuan Long; Lloyd Low; Elena Lozovsky; Jian Lu; Meizhong Luo; Carlos A Machado; Wojciech Makalowski; Mar Marzo; Muneo Matsuda; Luciano Matzkin; Bryant McAllister; Carolyn S McBride; Brendan McKernan; Kevin McKernan; Maria Mendez-Lago; Patrick Minx; Michael U Mollenhauer; Kristi Montooth; Stephen M Mount; Xu Mu; Eugene Myers; Barbara Negre; Stuart Newfeld; Rasmus Nielsen; Mohamed A F Noor; Patrick O'Grady; Lior Pachter; Montserrat Papaceit; Matthew J Parisi; Michael Parisi; Leopold Parts; Jakob S Pedersen; Graziano Pesole; Adam M Phillippy; Chris P Ponting; Mihai Pop; Damiano Porcelli; Jeffrey R Powell; Sonja Prohaska; Kim Pruitt; Marta Puig; Hadi Quesneville; Kristipati Ravi Ram; David Rand; Matthew D Rasmussen; Laura K Reed; Robert Reenan; Amy Reily; Karin A Remington; Tania T Rieger; Michael G Ritchie; Charles Robin; Yu-Hui Rogers; Claudia Rohde; Julio Rozas; Marc J Rubenfield; Alfredo Ruiz; Susan Russo; Steven L Salzberg; Alejandro Sanchez-Gracia; David J Saranga; Hajime Sato; Stephen W Schaeffer; Michael C Schatz; Todd Schlenke; Russell Schwartz; Carmen Segarra; Rama S Singh; Laura Sirot; Marina Sirota; Nicholas B Sisneros; Chris D Smith; Temple F Smith; John Spieth; Deborah E Stage; Alexander Stark; Wolfgang Stephan; Robert L Strausberg; Sebastian Strempel; David Sturgill; Granger Sutton; Granger G Sutton; Wei Tao; Sarah Teichmann; Yoshiko N Tobari; Yoshihiko Tomimura; Jason M Tsolas; Vera L S Valente; Eli Venter; J Craig Venter; Saverio Vicario; Filipe G Vieira; Albert J Vilella; Alfredo Villasante; Brian Walenz; Jun Wang; Marvin Wasserman; Thomas Watts; Derek Wilson; Richard K Wilson; Rod A Wing; Mariana F Wolfner; Alex Wong; Gane Ka-Shu Wong; Chung-I Wu; Gabriel Wu; Daisuke Yamamoto; Hsiao-Pei Yang; Shiaw-Pyng Yang; James A Yorke; Kiyohito Yoshida; Evgeny Zdobnov; Peili Zhang; Yu Zhang; Aleksey V Zimin; Jennifer Baldwin; Amr Abdouelleil; Jamal Abdulkadir; Adal Abebe; Brikti Abera; Justin Abreu; St Christophe Acer; Lynne Aftuck; Allen Alexander; Peter An; Erica Anderson; Scott Anderson; Harindra Arachi; Marc Azer; Pasang Bachantsang; Andrew Barry; Tashi Bayul; Aaron Berlin; Daniel Bessette; Toby Bloom; Jason Blye; Leonid Boguslavskiy; Claude Bonnet; Boris Boukhgalter; Imane Bourzgui; Adam Brown; Patrick Cahill; Sheridon Channer; Yama Cheshatsang; Lisa Chuda; Mieke Citroen; Alville Collymore; Patrick Cooke; Maura Costello; Katie D'Aco; Riza Daza; Georgius De Haan; Stuart DeGray; Christina DeMaso; Norbu Dhargay; Kimberly Dooley; Erin Dooley; Missole Doricent; Passang Dorje; Kunsang Dorjee; Alan Dupes; Richard Elong; Jill Falk; Abderrahim Farina; Susan Faro; Diallo Ferguson; Sheila Fisher; Chelsea D Foley; Alicia Franke; Dennis Friedrich; Loryn Gadbois; Gary Gearin; Christina R Gearin; Georgia Giannoukos; Tina Goode; Joseph Graham; Edward Grandbois; Sharleen Grewal; Kunsang Gyaltsen; Nabil Hafez; Birhane Hagos; Jennifer Hall; Charlotte Henson; Andrew Hollinger; Tracey Honan; Monika D Huard; Leanne Hughes; Brian Hurhula; M Erii Husby; Asha Kamat; Ben Kanga; Seva Kashin; Dmitry Khazanovich; Peter Kisner; Krista Lance; Marcia Lara; William Lee; Niall Lennon; Frances Letendre; Rosie LeVine; Alex Lipovsky; Xiaohong Liu; Jinlei Liu; Shangtao Liu; Tashi Lokyitsang; Yeshi Lokyitsang; Rakela Lubonja; Annie Lui; Pen MacDonald; Vasilia Magnisalis; Kebede Maru; Charles Matthews; William McCusker; Susan McDonough; Teena Mehta; James Meldrim; Louis Meneus; Oana Mihai; Atanas Mihalev; Tanya Mihova; Rachel Mittelman; Valentine Mlenga; Anna Montmayeur; Leonidas Mulrain; Adam Navidi; Jerome Naylor; Tamrat Negash; Thu Nguyen; Nga Nguyen; Robert Nicol; Choe Norbu; Nyima Norbu; Nathaniel Novod; Barry O'Neill; Sahal Osman; Eva Markiewicz; Otero L Oyono; Christopher Patti; Pema Phunkhang; Fritz Pierre; Margaret Priest; Sujaa Raghuraman; Filip Rege; Rebecca Reyes; Cecil Rise; Peter Rogov; Keenan Ross; Elizabeth Ryan; Sampath Settipalli; Terry Shea; Ngawang Sherpa; Lu Shi; Diana Shih; Todd Sparrow; Jessica Spaulding; John Stalker; Nicole Stange-Thomann; Sharon Stavropoulos; Catherine Stone; Christopher Strader; Senait Tesfaye; Talene Thomson; Yama Thoulutsang; Dawa Thoulutsang; Kerri Topham; Ira Topping; Tsamla Tsamla; Helen Vassiliev; Andy Vo; Tsering Wangchuk; Tsering Wangdi; Michael Weiand; Jane Wilkinson; Adam Wilson; Shailendra Yadav; Geneva Young; Qing Yu; Lisa Zembek; Danni Zhong; Andrew Zimmer; Zac Zwirko; David B Jaffe; Pablo Alvarez; Will Brockman; Jonathan Butler; CheeWhye Chin; Sante Gnerre; Manfred Grabherr; Michael Kleber; Evan Mauceli; Iain MacCallum
Journal:  Nature       Date:  2007-11-08       Impact factor: 49.962

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