Expression Profiles of Housekeeping Genes and Tissue-Specific Genes in Different Tissues of Chinese Sturgeon ().

Yanping Li, Yunyun Lv, Peilin Cheng, Ying Jiang, Cao Deng, Yongming Wang, Zhengyong Wen, Jiang Xie, Jieming Chen, Qiong Shi, Hao Du
Author Information
  1. Yanping Li: Key Laboratory of Freshwater Biodiversity Conservation, Ministry of Agriculture and Rural Affairs of China, Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China.
  2. Yunyun Lv: Key Laboratory of Sichuan Province for Fishes Conservation and Utilization in the Upper Reaches of the Yangtze River, College of Life Science, Neijiang Normal University, Neijiang 641100, China. ORCID
  3. Peilin Cheng: Key Laboratory of Freshwater Biodiversity Conservation, Ministry of Agriculture and Rural Affairs of China, Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China.
  4. Ying Jiang: Key Laboratory of Sichuan Province for Fishes Conservation and Utilization in the Upper Reaches of the Yangtze River, College of Life Science, Neijiang Normal University, Neijiang 641100, China.
  5. Cao Deng: Department of Bioinformatics, DNA Stories Bioinformatics Center, Chengdu 610000, China. ORCID
  6. Yongming Wang: Key Laboratory of Sichuan Province for Fishes Conservation and Utilization in the Upper Reaches of the Yangtze River, College of Life Science, Neijiang Normal University, Neijiang 641100, China.
  7. Zhengyong Wen: Key Laboratory of Sichuan Province for Fishes Conservation and Utilization in the Upper Reaches of the Yangtze River, College of Life Science, Neijiang Normal University, Neijiang 641100, China. ORCID
  8. Jiang Xie: Key Laboratory of Sichuan Province for Fishes Conservation and Utilization in the Upper Reaches of the Yangtze River, College of Life Science, Neijiang Normal University, Neijiang 641100, China.
  9. Jieming Chen: Shenzhen Key Lab of Marine Genomics, BGI Academy of Marine Sciences, BGI Marine, Shenzhen 518081, China.
  10. Qiong Shi: Key Laboratory of Sichuan Province for Fishes Conservation and Utilization in the Upper Reaches of the Yangtze River, College of Life Science, Neijiang Normal University, Neijiang 641100, China. ORCID
  11. Hao Du: Key Laboratory of Freshwater Biodiversity Conservation, Ministry of Agriculture and Rural Affairs of China, Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China. ORCID

Abstract

The Chinese sturgeon () is an ancient, complex autooctoploid fish species that is currently facing conservation challenges throughout its distribution. To comprehensively characterize the expression profiles of genes and their associated biological functions across different tissues, we performed a transcriptome-scale gene expression analysis, focusing on housekeeping genes (HKGs), tissue-specific genes (TSGs), and co-expressed gene modules in various tissues. We collected eleven tissues to establish a transcriptomic repository, including data from Pacific Biosciences isoform sequencing (PacBio Iso-seq) and RNA sequencing (RNA-seq), and then obtained 25,434 full-length transcripts, with lengths from 307 to 9515 bp and an N50 of 3195 bp. Additionally, 20,887 transcripts were effectively identified and classified as known homologous genes. We also identified 787 HKGs, and the number of TSGs varied from 25 in the liver to 2073 in the brain. TSG functions were mainly enriched in certain signaling pathways involved in specific physiological processes, such as voltage-gated potassium channel activity, nervous system development, glial cell differentiation in the brain, and leukocyte transendothelial migration in the spleen and pronephros. Meanwhile, HKGs were highly enriched in some pathways involved in ribosome biogenesis, proteasome core complex, spliceosome activation, elongation factor activity, and translation initiation factor activity, which have been strongly implicated in fundamental biological tissue functions. We also predicted five modules, with eight hub genes in the brown module, most of which (such as , , , , , , and ) were linked to ribosome biogenesis. Our results offer insights into ribosomal proteins that are indispensable in ribosome biogenesis and protein synthesis, which are crucial in various cell developmental processes and neural development of Chinese sturgeon. Overall, these findings will not only advance the understanding of fundamental biological functions in Chinese sturgeon but also supply a valuable genetic resource for characterizing this extremely important species.

Keywords

References

  1. Front Genet. 2018 Sep 13;9:369 [PMID: 30271423]
  2. Mar Biotechnol (NY). 2008 Nov-Dec;10(6):676-91 [PMID: 18478294]
  3. Gen Comp Endocrinol. 2019 Jan 1;270:26-34 [PMID: 30291863]
  4. Int J Mol Sci. 2020 Feb 12;21(4): [PMID: 32059409]
  5. BMC Bioinformatics. 2008 Jun 09;9:271 [PMID: 18541026]
  6. Mar Biotechnol (NY). 2010 Aug;12(4):361-79 [PMID: 20352271]
  7. Bioinformatics. 2008 Mar 1;24(5):719-20 [PMID: 18024473]
  8. Cells. 2021 Sep 02;10(9): [PMID: 34571938]
  9. Gene. 2003 Feb 27;305(2):151-60 [PMID: 12609735]
  10. Mol Biol Rep. 2012 Apr;39(4):4647-53 [PMID: 21986641]
  11. Sci Rep. 2016 Jun 22;6:28400 [PMID: 27329541]
  12. Bioinformatics. 2006 Jul 1;22(13):1658-9 [PMID: 16731699]
  13. Genome Res. 2020 May;30(5):790-801 [PMID: 32424068]
  14. J Biol Chem. 2019 Feb 8;294(6):1944-1955 [PMID: 30530495]
  15. Bioinformatics. 2012 Dec 1;28(23):3150-2 [PMID: 23060610]
  16. PLoS One. 2015 Mar 20;10(3):e0121778 [PMID: 25793877]
  17. Science. 2015 Jan 23;347(6220):1260419 [PMID: 25613900]
  18. Nature. 2015 Apr 30;520(7549):640-5 [PMID: 25901680]
  19. Curr Protoc Bioinformatics. 2016 Jun 20;54:1.30.1-1.30.33 [PMID: 27322403]
  20. Physiol Genomics. 2001 Dec 21;7(2):95-6 [PMID: 11773595]
  21. Sci Rep. 2024 Sep 19;14(1):21896 [PMID: 39300207]
  22. J Mol Med (Berl). 2003 Sep;81(9):536-48 [PMID: 12898041]
  23. Animals (Basel). 2022 Dec 15;12(24): [PMID: 36552460]
  24. PLoS One. 2013 Apr 22;8(4):e62308 [PMID: 23630630]
  25. Proc Natl Acad Sci U S A. 2009 Jun 9;106(23):9339-44 [PMID: 19470453]
  26. Nat Commun. 2014;5:3230 [PMID: 24510058]
  27. Sci Data. 2023 Feb 23;10(1):105 [PMID: 36823216]
  28. Bioinformatics. 2018 Sep 1;34(17):i884-i890 [PMID: 30423086]
  29. Nat Genet. 2000 May;25(1):25-9 [PMID: 10802651]
  30. Bioinformatics. 2002 Jan;18(1):77-82 [PMID: 11836214]
  31. Bioinformatics. 2023 Nov 1;39(11): [PMID: 37935424]
  32. Brief Bioinform. 2017 Mar 1;18(2):205-214 [PMID: 26891983]
  33. Trends Genet. 2013 Oct;29(10):569-74 [PMID: 23810203]
  34. Mol Biol Evol. 2006 Jun;23(6):1119-28 [PMID: 16520335]
  35. BMC Genomics. 2019 Sep 2;20(1):693 [PMID: 31477015]
  36. Bioinformatics. 2016 Sep 15;32(18):2847-9 [PMID: 27207943]
  37. Database (Oxford). 2023 Aug 17;2023: [PMID: 37590163]
  38. Science. 2002 Aug 30;297(5586):1551-5 [PMID: 12202830]
  39. Mol Biosyst. 2011 Jan;7(1):235-46 [PMID: 21072409]
  40. Nucleic Acids Res. 2000 Jan 1;28(1):45-8 [PMID: 10592178]
  41. Sci Rep. 2017 Jun 23;7(1):4200 [PMID: 28646208]
  42. PLoS One. 2006 Dec 20;1:e37 [PMID: 17183665]
  43. PLoS Comput Biol. 2009 Jun;5(6):e1000417 [PMID: 19543383]
  44. J Fish Biol. 2013 Mar;82(3):1047-56 [PMID: 23464559]
  45. Genomics Proteomics Bioinformatics. 2024 May 9;22(1): [PMID: 38862424]
  46. FEBS Lett. 2014 May 2;588(9):1491-500 [PMID: 24657617]
  47. Stat Appl Genet Mol Biol. 2005;4:Article17 [PMID: 16646834]
  48. BMC Bioinformatics. 2008 Dec 29;9:559 [PMID: 19114008]
  49. BMC Biol. 2022 Mar 29;20(1):79 [PMID: 35351103]
  50. Bioinformatics. 2017 Sep 15;33(18):2938-2940 [PMID: 28645171]
  51. Nucleic Acids Res. 2004 Jan 1;32(Database issue):D277-80 [PMID: 14681412]
  52. Nat Protoc. 2013 Aug;8(8):1494-512 [PMID: 23845962]
  53. PLoS Genet. 2005 Aug;1(2):260-76 [PMID: 16132083]
  54. BMC Dev Biol. 2016 Oct 26;16(1):38 [PMID: 27784267]
  55. PLoS One. 2007 Sep 19;2(9):e898 [PMID: 17878933]
  56. PLoS One. 2021 Sep 24;16(9):e0254308 [PMID: 34559810]
  57. Am J Hematol. 2014 Oct;89(10):985-91 [PMID: 25042156]
  58. Gene Expr Patterns. 2011 Mar-Apr;11(3-4):271-6 [PMID: 21281742]
  59. Fish Shellfish Immunol. 2006 Feb;20(2):126-36 [PMID: 15939627]

Grants

  1. LFBC1012/Open Fund Projects for the Key Laboratory of Freshwater Biodiversity Conservation, Ministry of Agriculture and Rural Affairs of China, Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences
  2. X2023020/Innovation and Entrepreneurship Training Plan for College Students

Word Cloud

Created with Highcharts 10.0.0ChinesegenesgenesturgeonfunctionsbiologicaltissuesHKGssequencingalsoactivityribosomebiogenesiscomplexspeciesexpressionhousekeepingtissue-specificTSGsmodulesvariousRNA-seq25transcriptsbpidentifiedbrainenrichedpathwaysinvolvedprocessesdevelopmentcellfactorfundamentalribosomalproteinGenesancientautooctoploidfishcurrentlyfacingconservationchallengesthroughoutdistributioncomprehensivelycharacterizeprofilesassociatedacrossdifferentperformedtranscriptome-scaleanalysisfocusingco-expressedcollectedelevenestablishtranscriptomicrepositoryincludingdataPacificBiosciencesisoformPacBioIso-seqRNAobtained434full-lengthlengths3079515N503195Additionally20887effectivelyclassifiedknownhomologous787numbervariedliver2073TSGmainlycertainsignalingspecificphysiologicalvoltage-gatedpotassiumchannelnervoussystemglialdifferentiationleukocytetransendothelialmigrationspleenpronephrosMeanwhilehighlyproteasomecorespliceosomeactivationelongationtranslationinitiationstronglyimplicatedtissuepredictedfiveeighthubbrownmodulelinkedresultsofferinsightsproteinsindispensablesynthesiscrucialdevelopmentalneuralOverallfindingswilladvanceunderstandingsupplyvaluablegeneticresourcecharacterizingextremelyimportantExpressionProfilesHousekeepingTissue-SpecificDifferentTissuesSturgeonco-expressiontranscriptome

Similar Articles

Cited By

No available data.