Article(id=1241783825664119457, tenantId=1146029695717560320, journalId=1192105938417971205, issueId=1241783822560334490, articleNumber=null, orderNo=null, doi=10.13343/j.cnki.wsxb.20240140, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1709568000000, receivedDateStr=2024-03-05, revisedDate=null, revisedDateStr=null, acceptedDate=1716220800000, acceptedDateStr=2024-05-21, onlineDate=1773993935265, onlineDateStr=2026-03-20, pubDate=1716480000000, pubDateStr=2024-05-24, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1773993935265, onlineIssueDateStr=2026-03-20, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773993935265, creator=13701087609, updateTime=1773993935265, updator=13701087609, issue=Issue{id=1241783822560334490, tenantId=1146029695717560320, journalId=1192105938417971205, year='2024', volume='64', issue='9', pageStart='3091', pageEnd='3558', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1773993934526, creator=13701087609, updateTime=1773994132256, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1241784651996528679, tenantId=1146029695717560320, journalId=1192105938417971205, issueId=1241783822560334490, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1241784651996528680, tenantId=1146029695717560320, journalId=1192105938417971205, issueId=1241783822560334490, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=3200, endPage=3223, ext={EN=ArticleExt(id=1241783826607837868, articleId=1241783825664119457, tenantId=1146029695717560320, journalId=1192105938417971205, language=EN, title=Research progress of phosphoglucomutases from microalgae, columnId=1239895164987175635, journalTitle=Acta Microbiologica Sinica, columnName=Reviews, runingTitle=null, highlight=null, articleAbstract=

Glucose-1-phosphate is a key precursor for starch biosynthesis of photoautotrophs. Phosphoglucomutases (PGMs) belonging to the phosphohexomutase family have a high conserved characteristic and perform the interconversion between glucose-6-phosphate and glucose-1-phosphate to regulate the starch biosynthesis. Compared with the higher plants, microalgae possess unique photosynthetic systems. Additionally, some microalgae strains can utilize organic carbon sources to produce valuable biomass by heterotrophic or mixotrophic cultivation, which might endow PGMs with specific structural features and biological functions in starch metabolism to regulate the levels of carbon fixation by photosynthesis, carbohydrate metabolism, and other pathways in microalgae. This article summarizes the molecular characteristics, functions, and activity regulation of PGMs for microalgae. Moreover, this article elucidates the potential mechanisms by which PGMs regulate microalgae starch synthesis to influence intracellular protein and lipid metabolic pathways. This review lays a theoretical foundation for microalgae carbon sequestration and the value-added utilization of microalgae resources, contributing to the achievement of China's "dual-carbon" goals.

, correspAuthors=Yongjin HE, authorNote=null, correspAuthorsNote=
*HE Yongjin, E-mail:
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葡萄糖-1-磷酸是光自养生物淀粉合成的前体物质。葡萄糖磷酸变位酶(phosphoglucomutase, PGM)属于磷酸己糖变位酶家族,具有较高的保守性,能介导葡萄糖-6-磷酸与葡萄糖-1-磷酸相互转化,调节植物和藻类细胞淀粉合成。与高等植物相比,微藻具有独特的光合系统,一些微藻藻株可以利用有机碳源进行异养培养或混养培养,这可能赋予微藻葡萄糖磷酸变位酶特殊的结构和淀粉代谢功能,调节微藻光合固碳、糖类代谢等通路的水平。本文综述了微藻PGM分子特性、生物学功能和调控PGM活性潜在机制及策略,阐明PGM调节微藻淀粉合成对胞内蛋白质、油脂等代谢通路的潜在影响机制,为微藻固碳和高值化开发微藻资源提供理论依据,助力我国“双碳”目标奠定理论基础。

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Journal of Fermentation and Bioengineering, 1993, 76 (5): 408-410., articleTitle=Growth characteristics of Spirulina platensis in mixotrophic and heterotrophic conditions, refAbstract=null)], funds=[Fund(id=1242902972087255499, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1241783825664119457, awardId=32172997, language=EN, fundingSource=National Natural Science Foundation of China(32172997), fundOrder=null, country=null), Fund(id=1242902972234056154, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1241783825664119457, awardId=2022G02013, language=EN, fundingSource=Key Project of Fujian Provincial Department of Education(2022G02013), fundOrder=null, country=null), Fund(id=1242902972338913765, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1241783825664119457, awardId=2023R0001, language=EN, fundingSource=Fujian Provincial Environmental Protection Science and Technology Plan(2023R0001), fundOrder=null, country=null), Fund(id=1242902972447965680, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1241783825664119457, awardId=TZH-2022-03, language=EN, fundingSource=Open-ended Project of Carbon Neutral Research Institute, Fujian Normal University(TZH-2022-03), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1242902962985615469, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1241783825664119457, xref=null, ext=[AuthorCompanyExt(id=1242902962998198383, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1241783825664119457, companyId=1242902962985615469, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1 College of Life Sciences, Fujian Normal University, Fuzhou 350117, Fujian, China), AuthorCompanyExt(id=1242902963010781297, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1241783825664119457, companyId=1242902962985615469, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1 福建师范大学 生命科学学院, 福建 福州 350117)]), AuthorCompany(id=1242902963103055990, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1241783825664119457, xref=null, ext=[AuthorCompanyExt(id=1242902963111444600, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1241783825664119457, companyId=1242902963103055990, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2 Engineering Research Center of Industrial Microbiology of Ministry of Education, Fujian Normal University, Fuzhou 350117, Fujian, China), AuthorCompanyExt(id=1242902963119833209, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1241783825664119457, companyId=1242902963103055990, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2 福建师范大学, 工业微生物教育部工程研发中心, 福建 福州 350117)])], figs=[ArticleFig(id=1242902967809065222, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1241783825664119457, language=EN, label=Figure 1, caption=Microalgae PGM protein system phylogenetic tree and conserved domain coding sequence analysis. Phylogenetic tree was constructed using the neighbour-joining algorithm in MEGA 11 with 1 000 bootstrap replicates, and the number on the branch represents bootstrap calculated after 1 000 repetitions. The accession number of the corresponding gene was shown in parentheses. The conservative structural domain model was constructed based on the predictions from the NCBI Conserved Domain Search (Table 3); Search against database: CDD v3.21-62456 PSSMs., figureFileSmall=eOFNMpf65bJjIxjA/0ujCg==, figureFileBig=0nOAiT7NGsUyNYKtvkCiFA==, tableContent=null), ArticleFig(id=1242902967960060178, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1241783825664119457, language=CN, label=图1, caption=微藻PGM蛋白系统发育树和蛋白质保守结构域编码序列分析, figureFileSmall=eOFNMpf65bJjIxjA/0ujCg==, figureFileBig=0nOAiT7NGsUyNYKtvkCiFA==, tableContent=null), ArticleFig(id=1242902968098472224, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1241783825664119457, language=EN, label=Figure 2, caption=The starch biosynthesis and degradation pathways by PGM. Chloroplast, PGI: Glucose-6-phosphate isomerase; PGM: Phosphoglucomutase; AGPase: ADP-glucose pyrophosphorylase; GBSS: Granule bound starch synthase; SS: Starch synthases; BE: Branching enzyme; DBE: Starch debranching enzyme; AMY: Amylase; ISA: Isomaltase; MAP: Maltose phosphorylase. Cytosol, EMP: Embden-Meyerhof-Parnas Pathway; TCA Cycle: Tricarboxylic acid cycle., figureFileSmall=2s+7qE5MCAsgz9mjdrR12w==, figureFileBig=9RYShDoqJqnqFntcawcxcg==, tableContent=null), ArticleFig(id=1242902968320770345, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1241783825664119457, language=CN, label=图2, caption=PGM参与的淀粉合成与降解途径, figureFileSmall=2s+7qE5MCAsgz9mjdrR12w==, figureFileBig=9RYShDoqJqnqFntcawcxcg==, tableContent=null), ArticleFig(id=1242902968459182388, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1241783825664119457, language=EN, label=Figure 3, caption=The reaction catalyzed by PGM[84, 86]. The reversible conversion of glucose-1-phosphate and glucose-6-phosphate was catalyzed by phosphoglucomutase (PGM). Glucose-1,6-bisphosphate was an intermediate in this reaction. The initial step performed the transfer of a phosphate group (represented in red) from the serine residue at the active site of PGM. The intermediate was rotated at the active site with 180°, then the phosphate group (depicted in yellow) from the substrate was returned to the PGM active site for restoring the enzyme towards its active state. Ultimately, glucose-1-phosphate was converted into glucose-6-phosphate. This reaction is a reversible reaction., figureFileSmall=rhpW/iuWFsEIe+a35dQVaA==, figureFileBig=6nEdxMKfp2pvvtLrSXsZBg==, tableContent=null), ArticleFig(id=1242902968635343171, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1241783825664119457, language=CN, label=图3, caption=PGM催化的反应[84, 86], figureFileSmall=rhpW/iuWFsEIe+a35dQVaA==, figureFileBig=6nEdxMKfp2pvvtLrSXsZBg==, tableContent=null), ArticleFig(id=1242902968878612816, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1241783825664119457, language=EN, label=Table 1, caption=

Molecular properties of microalgae PGM proteins

, figureFileSmall=null, figureFileBig=null, tableContent=
SpeciesGenBank IDCDS (bp)Number of amino acids (aa)Molecular weight (Da)Isoelectric pointHydrophilicity (GRAVY)Subcellular localizationReferences
Source of sequence information: NCBI. Protein molecular properties: Molecular weight, Isoelectric point, and hydrophilicity (GRAVY) date source from Expasy-ProtParam tool. GRAVY: Grand average of hydropathicity, a higher positive value indicates stronger hydrophobicity, while a higher negative GRAVY value indicates better hydrophilicity. Subcellular localization was analyzed by Plant-mPLoc.
Chlorophyta
  Dunaliella salinaADD25038.11 81560465 084.148.01−0.226Chloroplast[27]
  Klebsormidium nitensGAQ78653.12 42180687 710.806.89−0.190Chloroplast[28]
  Klebsormidium nitensGAQ91740.12 04668173 633.406.41−0.119Chloroplast[28]
  Micromonas pusillaXP_003056074.11 80360064 792.994.97−0.176Chloroplast[29]
  Micromonas commodaXP_002507519.11 72857562 170.115.08−0.222Chloroplast[29]
  Ostreococcus tauriXP_003083406.11 68055960 461.364.93−0.179Chloroplast[30]
  Scenedesmus sp.KAF6254198.11 80960264 633.815.88−0.097Chloroplast[31]
  Chlorella sorokinianaPRW59596.11 87562467 218.246.49−0.187Chloroplast[32]
  Monoraphidium minutumKAI8462587.11 87559863 782.747.09−0.101Chloroplast[33]
  Raphidocelis subcapitataGBF95149.11 80660163 735.446.30−0.044Chloroplast[34]
  Auxenochlorella protothecoidesXP_011399073.11 69856561 191.865.13−0.190Chloroplast[35]
  Nannochloropsis gaditanaEWM21792.13 2101 069115 173.246.02−0.126Chloroplast[36]
  Polytomella parvaQKY14898.11 67455760 447.556.08−0.205Chloroplast[37]
Cyanobacteria
  Xenococcaceae cyanobacteriumMDJ0573558.11 63254359 293.045.20−0.216Cytoplasm[38]
  Trichodesmium sp.MDJ0518457.11 63554459 194.484.90−0.305Cytoplasm[38]
  Calothrix sp.MDJ0621091.11 63554458 992.645.28−0.200Cytoplasm[38]
  Leptolyngbya sp.PZV16368.11 63554458 760.674.87−0.249Cytoplasm[39]
  Shackletoniella antarcticaPZO44876.11 63554458 685.694.98−0.233Cytoplasm[39]
  Leptolyngbya sp.PZU97200.11 63254358 601.424.98−0.261Cytoplasm[39]
  Oscillatoriales sp.HIK31139.11 63254359 034.224.87−0.237Cytoplasm[40]
  Leptolyngbyaceae sp.HIK46815.11 63554458 989.485.26−0.179Cytoplasm[40]
  Nodosilinea sp.MBW4461093.11 63554458 639.384.88−0.245Cytoplasm[41]
  Trichodesmium erythraeumMDT9339139.11 63554459 349.015.19−0.284Cytoplasm[42]
  Trichodesmium sp.MDE5092974.11 63554459 403.055.20−0.297Cytoplasm[43]
  Hydrococcus sp.NJP19473.11 63254359 383.865.33−0.272Cytoplasm[44]
  Phormidesmis sp.NJM98782.11 63254358 781.894.71−0.235Cytoplasm[44]
  Trichodesmium sp.MCH2048694.11 63554459 420.105.26−0.301Cytoplasm[45]
  Trichodesmium erythraeumMBS9770748.11 63554459 334.995.20−0.294Cytoplasm[46]
  Pseudanabaena sp.MCA6612058.11 63554459 268.605.16−0.221Cytoplasm[47]
  Tolypothrix tenuisBAY99341.11 64154659 603.034.94−0.238Cytoplasm[48]
  Phormidesmis priestleyi AnaKPQ33795.11 63254358 641.774.78−0.250Cytoplasm[49]
Rhodophyta
  Porphyridium purpureumKAA8499052.11 74358062 222.645.13−0.115Chloroplast[50]
  Gracilaria domingensisKAI0560001.11 75558462 912.434.83−0.211Chloroplast[51]
  Chondrus crispusXP_005717288.11 75558462 703.725.18−0.147Chloroplast[52]
Diatoms
  Fistulifera solarisGAX13287.13 1801 059114 682.514.97−0.186Chloroplast[53]
  Fistulifera solarisGAX25814.13 1801 059114 659.544.97−0.181Chloroplast[53]
  Phaeodactylum tricornutumXP_002185375.13 1741 057114 608.545.11−0.185Chloroplast[54]
  Chaetoceros tenuissimusGFH52288.13 1771 058114 032.034.97−0.118Chloroplast[55]
Phaeophyta
  Saccharina japonicaAIQ80989.13 2161 071115 362.105.19−0.186Chloroplast[56]
), ArticleFig(id=1242902969021219162, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1241783825664119457, language=CN, label=表1, caption=

微藻PGM蛋白分子性质

, figureFileSmall=null, figureFileBig=null, tableContent=
SpeciesGenBank IDCDS (bp)Number of amino acids (aa)Molecular weight (Da)Isoelectric pointHydrophilicity (GRAVY)Subcellular localizationReferences
Source of sequence information: NCBI. Protein molecular properties: Molecular weight, Isoelectric point, and hydrophilicity (GRAVY) date source from Expasy-ProtParam tool. GRAVY: Grand average of hydropathicity, a higher positive value indicates stronger hydrophobicity, while a higher negative GRAVY value indicates better hydrophilicity. Subcellular localization was analyzed by Plant-mPLoc.
Chlorophyta
  Dunaliella salinaADD25038.11 81560465 084.148.01−0.226Chloroplast[27]
  Klebsormidium nitensGAQ78653.12 42180687 710.806.89−0.190Chloroplast[28]
  Klebsormidium nitensGAQ91740.12 04668173 633.406.41−0.119Chloroplast[28]
  Micromonas pusillaXP_003056074.11 80360064 792.994.97−0.176Chloroplast[29]
  Micromonas commodaXP_002507519.11 72857562 170.115.08−0.222Chloroplast[29]
  Ostreococcus tauriXP_003083406.11 68055960 461.364.93−0.179Chloroplast[30]
  Scenedesmus sp.KAF6254198.11 80960264 633.815.88−0.097Chloroplast[31]
  Chlorella sorokinianaPRW59596.11 87562467 218.246.49−0.187Chloroplast[32]
  Monoraphidium minutumKAI8462587.11 87559863 782.747.09−0.101Chloroplast[33]
  Raphidocelis subcapitataGBF95149.11 80660163 735.446.30−0.044Chloroplast[34]
  Auxenochlorella protothecoidesXP_011399073.11 69856561 191.865.13−0.190Chloroplast[35]
  Nannochloropsis gaditanaEWM21792.13 2101 069115 173.246.02−0.126Chloroplast[36]
  Polytomella parvaQKY14898.11 67455760 447.556.08−0.205Chloroplast[37]
Cyanobacteria
  Xenococcaceae cyanobacteriumMDJ0573558.11 63254359 293.045.20−0.216Cytoplasm[38]
  Trichodesmium sp.MDJ0518457.11 63554459 194.484.90−0.305Cytoplasm[38]
  Calothrix sp.MDJ0621091.11 63554458 992.645.28−0.200Cytoplasm[38]
  Leptolyngbya sp.PZV16368.11 63554458 760.674.87−0.249Cytoplasm[39]
  Shackletoniella antarcticaPZO44876.11 63554458 685.694.98−0.233Cytoplasm[39]
  Leptolyngbya sp.PZU97200.11 63254358 601.424.98−0.261Cytoplasm[39]
  Oscillatoriales sp.HIK31139.11 63254359 034.224.87−0.237Cytoplasm[40]
  Leptolyngbyaceae sp.HIK46815.11 63554458 989.485.26−0.179Cytoplasm[40]
  Nodosilinea sp.MBW4461093.11 63554458 639.384.88−0.245Cytoplasm[41]
  Trichodesmium erythraeumMDT9339139.11 63554459 349.015.19−0.284Cytoplasm[42]
  Trichodesmium sp.MDE5092974.11 63554459 403.055.20−0.297Cytoplasm[43]
  Hydrococcus sp.NJP19473.11 63254359 383.865.33−0.272Cytoplasm[44]
  Phormidesmis sp.NJM98782.11 63254358 781.894.71−0.235Cytoplasm[44]
  Trichodesmium sp.MCH2048694.11 63554459 420.105.26−0.301Cytoplasm[45]
  Trichodesmium erythraeumMBS9770748.11 63554459 334.995.20−0.294Cytoplasm[46]
  Pseudanabaena sp.MCA6612058.11 63554459 268.605.16−0.221Cytoplasm[47]
  Tolypothrix tenuisBAY99341.11 64154659 603.034.94−0.238Cytoplasm[48]
  Phormidesmis priestleyi AnaKPQ33795.11 63254358 641.774.78−0.250Cytoplasm[49]
Rhodophyta
  Porphyridium purpureumKAA8499052.11 74358062 222.645.13−0.115Chloroplast[50]
  Gracilaria domingensisKAI0560001.11 75558462 912.434.83−0.211Chloroplast[51]
  Chondrus crispusXP_005717288.11 75558462 703.725.18−0.147Chloroplast[52]
Diatoms
  Fistulifera solarisGAX13287.13 1801 059114 682.514.97−0.186Chloroplast[53]
  Fistulifera solarisGAX25814.13 1801 059114 659.544.97−0.181Chloroplast[53]
  Phaeodactylum tricornutumXP_002185375.13 1741 057114 608.545.11−0.185Chloroplast[54]
  Chaetoceros tenuissimusGFH52288.13 1771 058114 032.034.97−0.118Chloroplast[55]
Phaeophyta
  Saccharina japonicaAIQ80989.13 2161 071115 362.105.19−0.186Chloroplast[56]
), ArticleFig(id=1242902969386123623, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1241783825664119457, language=EN, label=Table 2, caption=

Secondary structure and signal peptide prediction of microalgae PGM proteins

, figureFileSmall=null, figureFileBig=null, tableContent=
GenBank IDα-helixExtended strandβ-turnRandom coilSignal peptideSecretory protein
Amino acids number (aa)Proportion (%)Amino acids number (aa)Proportion (%)Amino acids number (aa)Proportion (%)Amino acids number (aa)Proportion (%)
Chlorophyta
  ADD25038.121134.939716.06386.2925842.720.001 0No
  GAQ78653.128935.8613216.38627.6932340.070.001 4No
  GAQ91740.123935.1011817.33365.2928842.290.000 6No
  XP_003056074.121235.339716.17427.0024941.500.001 3No
  XP_002507519.120936.359716.87447.6522539.130.023 5No
  XP_003083406.120336.319617.17417.3321939.180.000 8No
  KAF6254198.120834.5510317.11416.8125041.530.001 9No
  PRW59596.122035.269114.58386.0927544.070.002 6No
  KAI8462587.122136.9610016.72437.1923439.130.001 9No
  GBF95149.122737.779916.47416.8223438.940.002 5No
  XP_011399073.120736.6410017.70396.9021938.760.000 7No
  EWM21792.136634.2419418.15979.0741238.540.000 9No
  QKY14898.120136.099316.70427.5422139.680.001 8No
Cyanobacteria
  MDJ0573558.120237.209717.86366.6320838.310.016 2No
  MDJ0518457.120637.879717.83386.9920337.320.009 3No
  MDJ0621091.119736.219417.28417.5421238.970.010 4No
  PZV16368.120036.768715.99376.8022040.440.012 2No
  PZO44876.120337.328615.81397.1721639.710.012 2No
  PZU97200.121138.868515.65366.6321138.860.013 1No
  HIK31139.119636.1010118.60356.4521138.860.010 5No
  HIK46815.120437.509417.28376.8020938.420.012 2No
  MBW4461093.119736.219918.20356.4321339.150.012 5No
  MDT9339139.119636.039717.83336.0721840.070.005 0No
  MDE5092974.119435.669818.01366.6221639.710.005 0No
  NJP19473.119836.469717.86366.6321239.040.011 4No
  NJM98782.119736.2810218.78376.8120738.120.011 3No
  MCH2048694.120237.139717.83366.6220938.420.005 0No
  MBS9770748.120036.7610018.38386.9920637.870.005 0No
  MCA6612058.119535.859918.20417.5420938.420.024 8No
  BAY99341.119736.0810018.32397.1421038.460.003 6No
  KPQ33795.119936.659818.05376.8120938.490.013 6No
Rhodophyta
  KAA8499052.120435.179616.55427.2423841.030.003 5No
  KAI0560001.120434.939916.95376.3424441.780.003 4No
  XP_005717288.120134.429716.61437.3624341.610.001 3No
Diatoms
  GAX13287.137435.3217516.53858.0342540.130.001 0No
  GAX25814.137835.6917516.53958.9741138.810.001 0No
  XP_002185375.135633.6818017.03938.8042840.490.002 1No
  GFH52288.137135.0718417.39817.6642239.890.001 7No
Phaeophyta
  AIQ80989.135332.9619017.741029.5242639.780.000 5No
), ArticleFig(id=1242902969549701496, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1241783825664119457, language=CN, label=表2, caption=

微藻PGM蛋白二级结构和信号肽预测

, figureFileSmall=null, figureFileBig=null, tableContent=
GenBank IDα-helixExtended strandβ-turnRandom coilSignal peptideSecretory protein
Amino acids number (aa)Proportion (%)Amino acids number (aa)Proportion (%)Amino acids number (aa)Proportion (%)Amino acids number (aa)Proportion (%)
Chlorophyta
  ADD25038.121134.939716.06386.2925842.720.001 0No
  GAQ78653.128935.8613216.38627.6932340.070.001 4No
  GAQ91740.123935.1011817.33365.2928842.290.000 6No
  XP_003056074.121235.339716.17427.0024941.500.001 3No
  XP_002507519.120936.359716.87447.6522539.130.023 5No
  XP_003083406.120336.319617.17417.3321939.180.000 8No
  KAF6254198.120834.5510317.11416.8125041.530.001 9No
  PRW59596.122035.269114.58386.0927544.070.002 6No
  KAI8462587.122136.9610016.72437.1923439.130.001 9No
  GBF95149.122737.779916.47416.8223438.940.002 5No
  XP_011399073.120736.6410017.70396.9021938.760.000 7No
  EWM21792.136634.2419418.15979.0741238.540.000 9No
  QKY14898.120136.099316.70427.5422139.680.001 8No
Cyanobacteria
  MDJ0573558.120237.209717.86366.6320838.310.016 2No
  MDJ0518457.120637.879717.83386.9920337.320.009 3No
  MDJ0621091.119736.219417.28417.5421238.970.010 4No
  PZV16368.120036.768715.99376.8022040.440.012 2No
  PZO44876.120337.328615.81397.1721639.710.012 2No
  PZU97200.121138.868515.65366.6321138.860.013 1No
  HIK31139.119636.1010118.60356.4521138.860.010 5No
  HIK46815.120437.509417.28376.8020938.420.012 2No
  MBW4461093.119736.219918.20356.4321339.150.012 5No
  MDT9339139.119636.039717.83336.0721840.070.005 0No
  MDE5092974.119435.669818.01366.6221639.710.005 0No
  NJP19473.119836.469717.86366.6321239.040.011 4No
  NJM98782.119736.2810218.78376.8120738.120.011 3No
  MCH2048694.120237.139717.83366.6220938.420.005 0No
  MBS9770748.120036.7610018.38386.9920637.870.005 0No
  MCA6612058.119535.859918.20417.5420938.420.024 8No
  BAY99341.119736.0810018.32397.1421038.460.003 6No
  KPQ33795.119936.659818.05376.8120938.490.013 6No
Rhodophyta
  KAA8499052.120435.179616.55427.2423841.030.003 5No
  KAI0560001.120434.939916.95376.3424441.780.003 4No
  XP_005717288.120134.429716.61437.3624341.610.001 3No
Diatoms
  GAX13287.137435.3217516.53858.0342540.130.001 0No
  GAX25814.137835.6917516.53958.9741138.810.001 0No
  XP_002185375.135633.6818017.03938.8042840.490.002 1No
  GFH52288.137135.0718417.39817.6642239.890.001 7No
Phaeophyta
  AIQ80989.135332.9619017.741029.5242639.780.000 5No
), ArticleFig(id=1242902969788776838, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1241783825664119457, language=EN, label=Table 3, caption=

Conserved domain prediction of microalgae PGM proteins

, figureFileSmall=null, figureFileBig=null, tableContent=
GenBank IDPSSM-IDStarting position of conservative structural domainEnd position of conservative structural domainE-valueBit scoreShort nameSuperfamily
Data source: NCBI Conserved Domain Database. PSSM-ID: The unique identifier for a domain model’s position-specific scoring matrix (PSSM); E-value: The expect value, or E-value, indicates the statistical significance of the hit as the likelihood the hit was found by chance, the lower the E-value, the higher the credibility; Bit score: The value S’ is derived from the raw alignment score S in which the statistical properties of the scoring system used have been taken into account, a higher bit score indicates greater reliability; Short name: The short name of a conserved domain, which concisely defines the domain; Superfamily: Populated only for domain models that are specific or non-specific hits, and it lists the accession number of the superfamily to which the domain model belongs.
Chlorophyta
  ADD25038.1177 9424760401 047.32PLN02307cl38939
  GAQ78653.1177 94222280601 059.65PLN02307cl38939
469 66256211 4.47E−1882.73DNA_BRE_C superfamilycl00213
  GAQ91740.1177 94211768101 134.37PLN02307cl38939
  XP_003056074.1177 9423360001 130.14PLN02307cl38939
  XP_002507519.1177 942857501 157.49PLN02307cl38939
  XP_003083406.1177 942155901 126.67PLN02307cl38939
  KAF6254198.1177 9423760201 062.34PLN02307cl38939
  PRW59596.1177 9426262401 034.61PLN02307cl38939
  KAI8462587.1177 9423959801 018.43PLN02307cl38939
  GBF95149.1177 9425360101 008.03PLN02307cl38939
  XP_011399073.1177 94225650991.08PLN02307cl38939
  EWM21792.1476 8224711 0690960.65Phosphohexomutasecl38939
460 300284427.12E−148447.73superfamily UDPGPcl46593
  QKY14898.1177 942155701 054.64PLN02307cl38939
Cyanobacteria
  MDJ0573558.1100 087454301 026.78PGM1cl38939
  MDJ0518457.1100 087454401 037.18PGM1cl38939
  MDJ0621091.1100 087454401 042.57PGM1cl38939
  PZV16368.1100 087454401 033.71PGM1cl38939
  PZO44876.1100 087454401 032.94PGM1cl38939
  PZU97200.1100 087454301 030.25PGM1cl38939
  HIK31139.1100 087454301 037.18PGM1cl38939
  HIK46815.1100 087454401 016.38PGM1cl38939
  MBW4461093.1100 087454401 025.62PGM1cl38939
  MDT9339139.1100 087454401 023.31PGM1cl38939
  MDE5092974.1100 087454401 021.39PGM1cl38939
  NJP19473.1100 087454301 032.56PGM1cl38939
  NJM98782.1100 087454301 024.08PGM1cl38939
  MCH2048694.1100 087454401 021.77PGM1cl38939
  MBS9770748.1100 087454401 017.15PGM1cl38939
  MCA6612058.1100 087454401 014.84PGM1cl38939
  BAY99341.1100 087654601 022.16PGM1cl38939
  KPQ33795.1100 087454301 036.41PGM1cl38939
Rhodophyta
  KAA8499052.1100 08775800966.69PGM1cl38939
  KAI0560001.1476 82235840947.94Phosphohexomutase superfamilycl38939
  XP_005717288.1476 82285840928.17Phosphohexomutase superfamilycl38939
Diatoms
  GAX13287.1177 942 460 300464 211 059 4290 5.48E−1441 008.41 437.33PLN02307 UDPGPcl38939 cl46593
  GAX25814.1177 942 460 300464 211 059 4290 3.42E−143999.94 435.02PLN02307 UDPGPcl38939 cl46593
  XP_002185375.1177 942 132 998462 651 057 3730 2.21E−1431 051.17 431.29PLN02307 UGPase_eukcl38939 cl11394
  GFH52288.1177 942 460 300469 211 058 4280 2.49E−1461 002.25 443.49PLN02307 UDPGPcl38939 cl46593
Phaeophyta
  AIQ80989.1177 942 460 300475 331 071 4390 1.07E−147981.07 447.35PLN02307 UDPGPcl38939 cl46593
), ArticleFig(id=1242902970019463575, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1241783825664119457, language=CN, label=表3, caption=

微藻PGM蛋白保守结构域预测

, figureFileSmall=null, figureFileBig=null, tableContent=
GenBank IDPSSM-IDStarting position of conservative structural domainEnd position of conservative structural domainE-valueBit scoreShort nameSuperfamily
Data source: NCBI Conserved Domain Database. PSSM-ID: The unique identifier for a domain model’s position-specific scoring matrix (PSSM); E-value: The expect value, or E-value, indicates the statistical significance of the hit as the likelihood the hit was found by chance, the lower the E-value, the higher the credibility; Bit score: The value S’ is derived from the raw alignment score S in which the statistical properties of the scoring system used have been taken into account, a higher bit score indicates greater reliability; Short name: The short name of a conserved domain, which concisely defines the domain; Superfamily: Populated only for domain models that are specific or non-specific hits, and it lists the accession number of the superfamily to which the domain model belongs.
Chlorophyta
  ADD25038.1177 9424760401 047.32PLN02307cl38939
  GAQ78653.1177 94222280601 059.65PLN02307cl38939
469 66256211 4.47E−1882.73DNA_BRE_C superfamilycl00213
  GAQ91740.1177 94211768101 134.37PLN02307cl38939
  XP_003056074.1177 9423360001 130.14PLN02307cl38939
  XP_002507519.1177 942857501 157.49PLN02307cl38939
  XP_003083406.1177 942155901 126.67PLN02307cl38939
  KAF6254198.1177 9423760201 062.34PLN02307cl38939
  PRW59596.1177 9426262401 034.61PLN02307cl38939
  KAI8462587.1177 9423959801 018.43PLN02307cl38939
  GBF95149.1177 9425360101 008.03PLN02307cl38939
  XP_011399073.1177 94225650991.08PLN02307cl38939
  EWM21792.1476 8224711 0690960.65Phosphohexomutasecl38939
460 300284427.12E−148447.73superfamily UDPGPcl46593
  QKY14898.1177 942155701 054.64PLN02307cl38939
Cyanobacteria
  MDJ0573558.1100 087454301 026.78PGM1cl38939
  MDJ0518457.1100 087454401 037.18PGM1cl38939
  MDJ0621091.1100 087454401 042.57PGM1cl38939
  PZV16368.1100 087454401 033.71PGM1cl38939
  PZO44876.1100 087454401 032.94PGM1cl38939
  PZU97200.1100 087454301 030.25PGM1cl38939
  HIK31139.1100 087454301 037.18PGM1cl38939
  HIK46815.1100 087454401 016.38PGM1cl38939
  MBW4461093.1100 087454401 025.62PGM1cl38939
  MDT9339139.1100 087454401 023.31PGM1cl38939
  MDE5092974.1100 087454401 021.39PGM1cl38939
  NJP19473.1100 087454301 032.56PGM1cl38939
  NJM98782.1100 087454301 024.08PGM1cl38939
  MCH2048694.1100 087454401 021.77PGM1cl38939
  MBS9770748.1100 087454401 017.15PGM1cl38939
  MCA6612058.1100 087454401 014.84PGM1cl38939
  BAY99341.1100 087654601 022.16PGM1cl38939
  KPQ33795.1100 087454301 036.41PGM1cl38939
Rhodophyta
  KAA8499052.1100 08775800966.69PGM1cl38939
  KAI0560001.1476 82235840947.94Phosphohexomutase superfamilycl38939
  XP_005717288.1476 82285840928.17Phosphohexomutase superfamilycl38939
Diatoms
  GAX13287.1177 942 460 300464 211 059 4290 5.48E−1441 008.41 437.33PLN02307 UDPGPcl38939 cl46593
  GAX25814.1177 942 460 300464 211 059 4290 3.42E−143999.94 435.02PLN02307 UDPGPcl38939 cl46593
  XP_002185375.1177 942 132 998462 651 057 3730 2.21E−1431 051.17 431.29PLN02307 UGPase_eukcl38939 cl11394
  GFH52288.1177 942 460 300469 211 058 4280 2.49E−1461 002.25 443.49PLN02307 UDPGPcl38939 cl46593
Phaeophyta
  AIQ80989.1177 942 460 300475 331 071 4390 1.07E−147981.07 447.35PLN02307 UDPGPcl38939 cl46593
), ArticleFig(id=1242902970279510442, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1241783825664119457, language=EN, label=Table 4, caption=

Effects of different compounds on PGM activity

, figureFileSmall=null, figureFileBig=null, tableContent=
Chemical compoundConcentrationEffects of PGM activityReferences
Fructose-1,6-bisphosphate2.4 mmol/LActivity reduced by 50%[70]
Magnesium chloride (MgCl2)5.0 mmol/LEnhanced activity by 21 times[72]
Manganese(Ⅱ) chloride (MnCl2)Enhanced activity by 4 times
Methionine10.0 mmol/LReduce transcription levels[73]
Disperse blue 565.0 μmol/LActivity reduced by 40%[74]
Ethylene diamine tetraacetic acid (EDTA)0.2 mmol/LImprove activity when exist together[87]
Magnesium chloride (MgCl2)1.0−10.0 mmol/L
Fructose-1,6-bisphosphate1.0 mmol/LActivity reduced by 56%−60%
Fructose-1-phosphateActivity reduced by 5%−13%
Fructose-6-phosphate
2-phosphoglycerate
UDP-glucose
Adenosine monophosphate (AMP)
Adenosine diphosphate (ADP)
Adenosine triphosphate (ATP)
Manganese(Ⅱ) chloride (MnCl2)5.0 mmol/LEnhanced activity by 6 times[88]
Zinc chloride (ZnCl2)
Sodium chloride (NaCl)Inhibition as concentration increases
Calcium chloride (CaCl2)Inhibition of activity
Cobalt(Ⅱ) chloride (CoCl2)
Nickel chloride (NiCl2)
Lithium chloride (LiCl2)
Lead (Pb)0.5 mmol/LActivity reduced by 24%−30%[89]
24-epibrassinolide (24-epiBL)1.0 mg/LEnhanced activity by 2.38 times at 25 ℃[90]
), ArticleFig(id=1242902971843985848, tenantId=1146029695717560320, journalId=1192105938417971205, articleId=1241783825664119457, language=CN, label=表4, caption=

不同化合物对PGM活性的影响

, figureFileSmall=null, figureFileBig=null, tableContent=
Chemical compoundConcentrationEffects of PGM activityReferences
Fructose-1,6-bisphosphate2.4 mmol/LActivity reduced by 50%[70]
Magnesium chloride (MgCl2)5.0 mmol/LEnhanced activity by 21 times[72]
Manganese(Ⅱ) chloride (MnCl2)Enhanced activity by 4 times
Methionine10.0 mmol/LReduce transcription levels[73]
Disperse blue 565.0 μmol/LActivity reduced by 40%[74]
Ethylene diamine tetraacetic acid (EDTA)0.2 mmol/LImprove activity when exist together[87]
Magnesium chloride (MgCl2)1.0−10.0 mmol/L
Fructose-1,6-bisphosphate1.0 mmol/LActivity reduced by 56%−60%
Fructose-1-phosphateActivity reduced by 5%−13%
Fructose-6-phosphate
2-phosphoglycerate
UDP-glucose
Adenosine monophosphate (AMP)
Adenosine diphosphate (ADP)
Adenosine triphosphate (ATP)
Manganese(Ⅱ) chloride (MnCl2)5.0 mmol/LEnhanced activity by 6 times[88]
Zinc chloride (ZnCl2)
Sodium chloride (NaCl)Inhibition as concentration increases
Calcium chloride (CaCl2)Inhibition of activity
Cobalt(Ⅱ) chloride (CoCl2)
Nickel chloride (NiCl2)
Lithium chloride (LiCl2)
Lead (Pb)0.5 mmol/LActivity reduced by 24%−30%[89]
24-epibrassinolide (24-epiBL)1.0 mg/LEnhanced activity by 2.38 times at 25 ℃[90]
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微藻葡萄糖磷酸变位酶研究进展
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汤熙 1 , 陈必链 1, 2 , 何勇锦 1, 2, *
微生物学报 | 综述 2024,64(9): 3200-3223
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微生物学报 | 综述 2024, 64(9): 3200-3223
微藻葡萄糖磷酸变位酶研究进展
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汤熙1, 陈必链1, 2, 何勇锦1, 2, *
作者信息
  • 1 福建师范大学 生命科学学院, 福建 福州 350117
  • 2 福建师范大学, 工业微生物教育部工程研发中心, 福建 福州 350117
Research progress of phosphoglucomutases from microalgae
Xi TANG1, Bilian CHEN1, 2, Yongjin HE1, 2, *
Affiliations
  • 1 College of Life Sciences, Fujian Normal University, Fuzhou 350117, Fujian, China
  • 2 Engineering Research Center of Industrial Microbiology of Ministry of Education, Fujian Normal University, Fuzhou 350117, Fujian, China
出版时间: 2024-05-24 doi: 10.13343/j.cnki.wsxb.20240140
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葡萄糖-1-磷酸是光自养生物淀粉合成的前体物质。葡萄糖磷酸变位酶(phosphoglucomutase, PGM)属于磷酸己糖变位酶家族,具有较高的保守性,能介导葡萄糖-6-磷酸与葡萄糖-1-磷酸相互转化,调节植物和藻类细胞淀粉合成。与高等植物相比,微藻具有独特的光合系统,一些微藻藻株可以利用有机碳源进行异养培养或混养培养,这可能赋予微藻葡萄糖磷酸变位酶特殊的结构和淀粉代谢功能,调节微藻光合固碳、糖类代谢等通路的水平。本文综述了微藻PGM分子特性、生物学功能和调控PGM活性潜在机制及策略,阐明PGM调节微藻淀粉合成对胞内蛋白质、油脂等代谢通路的潜在影响机制,为微藻固碳和高值化开发微藻资源提供理论依据,助力我国“双碳”目标奠定理论基础。

葡萄糖磷酸变位酶  /  微藻  /  淀粉合成

Glucose-1-phosphate is a key precursor for starch biosynthesis of photoautotrophs. Phosphoglucomutases (PGMs) belonging to the phosphohexomutase family have a high conserved characteristic and perform the interconversion between glucose-6-phosphate and glucose-1-phosphate to regulate the starch biosynthesis. Compared with the higher plants, microalgae possess unique photosynthetic systems. Additionally, some microalgae strains can utilize organic carbon sources to produce valuable biomass by heterotrophic or mixotrophic cultivation, which might endow PGMs with specific structural features and biological functions in starch metabolism to regulate the levels of carbon fixation by photosynthesis, carbohydrate metabolism, and other pathways in microalgae. This article summarizes the molecular characteristics, functions, and activity regulation of PGMs for microalgae. Moreover, this article elucidates the potential mechanisms by which PGMs regulate microalgae starch synthesis to influence intracellular protein and lipid metabolic pathways. This review lays a theoretical foundation for microalgae carbon sequestration and the value-added utilization of microalgae resources, contributing to the achievement of China's "dual-carbon" goals.

phosphoglucomutase  /  microalgae  /  starch synthesis
汤熙, 陈必链, 何勇锦. 微藻葡萄糖磷酸变位酶研究进展. 微生物学报, 2024 , 64 (9) : 3200 -3223 . DOI: 10.13343/j.cnki.wsxb.20240140
Xi TANG, Bilian CHEN, Yongjin HE. Research progress of phosphoglucomutases from microalgae[J]. Acta Microbiologica Sinica, 2024 , 64 (9) : 3200 -3223 . DOI: 10.13343/j.cnki.wsxb.20240140
微藻是一类典型的光自养生物,可合成蛋白质、多糖、多不饱和脂肪酸等多种活性物质,被广泛应用于食品、工业、能源、环境等领域[1-3]。与高等植物相比,微藻具有生长速度快、生物量产量高、不竞争耕地等优点,受到食品、医疗、化工等行业科技工作者的普遍关注[4]。因此,利用微藻开发高附加值生物制品,对推动我国食品、饲料、保健品等行业的高质量发展具有重要意义。
近年来,多项研究表明在微藻生长过程中,淀粉等多糖的积累调控其机体蛋白质与脂质的合成水平[5-9]。光合自养生物淀粉合成途径中,CO2通过卡尔文循环,经过果糖-1,6-二磷酸酶、磷酸葡萄糖异构酶、葡萄糖磷酸变位酶(phosphoglucomutase, PGM, EC 5.4.2.2)等关键酶的转化合成淀粉[9-13]。葡萄糖磷酸变位酶属于磷酸己糖变位酶家族,序列保守性高,对光合生物固碳和目的产物合成的调节起着至关重要的作用[10, 14-16]。当前,关于高等植物PGM调节淀粉合成、蔗糖代谢、固定CO2和植物生长发育的研究较多[10-11, 17-18]。与高等植物不同的是,微藻作为一类低等光合生物,拥有独特的光合系统和淀粉代谢通路。此外,有些微藻藻株,如普通小球藻(Chlorella vulgaris)等,可以利用有机碳源(如葡萄糖)进行异养培养和混养培养,调节PGM活性可影响细胞内淀粉合成和蛋白质、油脂、色素等高附加值产物的代谢水平[6, 19-22]。因此,本文根据微藻PGM分子特性、功能、和调控PGM活性对藻类淀粉合成的影响,阐释藻类淀粉作为细胞内碳源转化为高附加值产物的合成机制,总结藻类PGM的研究进展,为进一步明确藻类淀粉合成机制和调控微藻高附加值产物合成提供参考。
光合生物PGM主要在淀粉合成组织中发挥作用[23]。在高等植物中,基于PGM酶的亚细胞定位可分为质体PGM (plastidial phosphoglucomutase, pPGM)和胞质PGM (cytosolic phosphoglucomutase, cPGM)[14]。Herbert等[14]通过(NH4)2SO4梯度和二乙氨乙基(deaecellulose, DEAE)-纤维素离子交换色谱分离方法,分析C3、C4与具景天酸代谢途径的植物和小球藻中的PGM分布形式时发现,除C4植物外,C3植物细胞和小球藻细胞的质体和胞质中均有PGM;C4植物PGM有3种同工酶,成熟的PGM蛋白分子量约为60 kDa。Li等[18]从羽衣甘蓝(Brassica oleracea var. acephala)柱头组织中分离到PGM2和PGM3两种具有葡萄糖磷酸变位酶活性的蛋白质,其cDNA序列大小分别为1 922 bp和2 066 bp,分子预测结果显示羽衣甘蓝PGM2蛋白由583个氨基酸组成,相对分子质量为63.4 kDa;PGM3蛋白由582个氨基酸组成,相对分子质量为63.3 kDa。王海波等[24]通过同源序列比对方法克隆得到小桐子(Jatropha curcas L.) cPGM与pPGM基因的全长编码序列,cPGM基因mRNA长度为2 214 bp,编码582个氨基酸,其蛋白分子量为63.2 kDa;pPGM基因mRNA长度为2 347 bp,编码637个氨基酸,其蛋白分子量为69.5 kDa。
一般认为,植物PGM所含氨基酸数目为600个左右,分子量约为60 kDa[25-26]。不同的是,藻类PGM编码基因序列长度为1 632−3 216 bp,编码的氨基酸数为543−1 071,蛋白相对分子质量为58.6−115.3 kDa (表1)。在已报道的藻类PGM中,蓝藻的PGM氨基酸总数最少,分子量最小;相反的是,褐藻的PGM氨基酸总数最多,分子量最大,为115.3 kDa (表1)。这可能的原因在于,褐藻是真核藻类中较高级的一个类群,均为多细胞体,蛋白结构复杂,而蓝藻为原核藻类,结构简单,无细胞器,进化程度低。
表1可知,不同属的微藻PGM的氨基酸数目存在明显的差别。例如,绿藻PGM蛋白氨基酸数目在557−1 069之间,蓝藻PGM蛋白氨基酸数目在543−546之间,红藻PGM蛋白氨基酸数目为580−584之间,褐藻与硅藻的PGM蛋白氨基酸数目均大于1 000 (表1)。
关于微藻PGM的等电点,杜氏盐藻(Dunaliella salina) PGM为碱性蛋白(pI=8.01)[27],其余藻类PGM均为酸性蛋白(表1),这与高等植物PGM特性相似[57-58]。亚细胞定位显示,真核藻类PGM蛋白均定位于叶绿体中(表1),蓝藻PGM分布在胞质中[59-60]。这些结果可表明,真核藻类合成淀粉与高等植物相同,主要在叶绿体中进行。
使用TMHMM-2.0和SignalP-5.0在线分析分别预测微藻PGM跨膜结构和信号肽结构,结果表明微藻PGM普遍为亲水蛋白且无跨膜结构(表2)。这与曹丽等[58]研究的拟南芥(Arabidopsis thaliana)和水稻(Oryza sativa L.)的pPGM与cPGM结果相似。尽管微藻PGM在等电点、亲水性、跨膜结构特性上相差不大,但物种间PGM氨基酸数和分子量有较大差异,这表明微藻PGM在物种内保守性较高,但在种间仍有差异。PGM二级结构比例上,微藻PGM的二级结构中α-螺旋与无规卷曲占比最高,分别为32.96%−38.86%和37.32%−44.07%,而β-折叠与延长链结构相对较少(表2)。
为了阐明微藻PGM序列的进化关系,以源于拟南芥的3个PGM蛋白序列[pPGM (NP_19995.1)和cPGM (NP_177230.1和NP_173732.1)]为BLASTp模板,选择绿藻门、蓝藻门、红藻门等6个门类的微藻PGM蛋白,构建了微藻PGM系统发育树及其保守结构域编码区模型(图1)。多序列比对39个微藻PGM蛋白序列,结果显示微藻PGM系统发育树可为3个分支:(1) 在第一分支中,蓝藻门单独聚为一支,可能是由于蓝藻属于原核生物,无成熟的细胞器且进化程度低,在PGM进化上差异较小,这表明微藻PGM在进化保守的同时,真核藻类与原核藻类的PGM进化是存在差异的(图1);(2) 在第二分支中,红藻门与绿藻门聚为一支,PGM进化存在亲缘关系(分支节点自展值100),推测2个物种PGM进化上存在一个共同祖先,其基因组在物种分化过程中发生了基因丢失或突变导致了PGM的区别;(3) 在第三分支中,褐藻门、硅藻门、绿藻门中的山蜡梅克里藻(Klebsormidium nitens, GAQ78653.1)以及微拟球藻(Nannochloropsis gaditana, EWM21792.1)共聚为一支,这些微藻PGM蛋白都有共同特征,即在N端上游具备独特的保守基序,例如:山蜡梅克里藻(Klebsormidium nitens, GAQ78653.1)的DNA断裂-重新连接酶保守基序属于DNA_BRE_C超家族,主要功能为通过酪氨酸的亲核攻击切割DNA双链,以产生3′-磷酸酪氨酸蛋白-DNA复合物;褐藻门、硅藻门、微拟球藻(Nannochloropsis gaditana, EWM21792.1) PGM蛋白基序的N端上游存在UTP-葡萄糖-1-磷酸尿苷酸转移酶功能区间,主要负责催化MgUTP+葡萄糖-1-磷酸和UDP-葡萄糖+MgPPi的相互转化(图1表3)。这些酶虽然也具备PGM的保守结构域,但其N端上游还具备其他功能的结构。这意味着:(1) 这些酶有可能属于复合蛋白[61];(2) 在进化的过程中,这些藻类PGM编码序列在基因组上可能发生了位移,导致与其他蛋白的编码基因发生了连锁表达[62]。系统发育树和保守结构域预测分析显示,微藻PGM蛋白保守结构域氨基酸数目为539−598,均属于磷酸己糖变位酶超家族成员(cl38939) (表3),催化糖底物上可逆的分子内磷酰基转移。
光合生物PGM参与的代谢途径如图2所示,PGM是光合生物合成碳水化合物途径中重要的调节酶,催化葡萄糖-6-磷酸与葡萄糖-1-磷酸之间的可逆转化,被认为能够调控磷酸己糖之间的相互平衡,形成的葡萄糖-6-磷酸产物分别被戊糖磷酸途径和糖酵解途径进一步代谢[10]
在植物中,cPGM对蔗糖代谢、细胞壁合成、植株生长发育等方面起着至关重要的作用[12, 63]。当叶绿体无光合作用驱动的碳输出时,拟南芥叶片蔗糖的形成取决于cPGM的活性[63-64]。cPGM催化生成的葡萄糖-1-磷酸是UDP-葡萄糖焦磷酸化酶的底物UDP-葡萄糖是细胞壁合成的主要原料[65]。Uematsu等[11]通过植物过表达载体pIG121将拟南芥cPGM基因利用农杆菌转入烟草(Nicotiana tabacum cv. Xanthi)植株,cPGM过表达品系cPGM活性比野生型植物高2.1−3.4倍,叶片淀粉含量下降至野生型的60%−70%,但蔗糖含量未见明显差异。作者认为cPGM活性升高可能会刺激光合碳流向蔗糖,而蔗糖浓度的增加可能会提高蔗糖转运蛋白活性,进而使合成的蔗糖从叶片迅速转运到分生组织[11]。研究结果表明,马铃薯(Solanum tuberosum cv. Desiree)降低cPGM的活性会明显影响光合作用的效率,转化植株的气体交换率与野生型对比降低了约30%,CO2同化率明显降低,最终导致其转化植株淀粉含量显著低于野生型,蔗糖转运能力也显著下降[66]。在拟南芥植株发育过程中,缺失cPGM会严重影响植物的代谢并降低植物的适应性,甚至导致植物死亡[10]
pPGM是卡尔文循环途径的关键酶。当植物细胞处于异养状态时,葡萄糖-6-磷酸从细胞质转运到质体,这种反应需要由pPGM介导胞内葡萄糖-6-磷酸到葡萄-1-磷酸的转化,葡萄糖-1-磷酸进入叶绿体基质后,可以通过各种淀粉合酶同工酶的介导,进入淀粉生物合成的途径,也可以直接作为葡聚糖延伸的葡萄糖基供体[12]。在产淀粉植物豌豆(Pisum sativum L.)中,质体内pPGM为淀粉合成提供底物葡萄糖-1-磷酸,而缺失pPGM活性会降低细胞内淀粉产量或导致无淀粉产生[67]。通过突变拟南芥pPGM,会限制葡萄糖-6-磷酸转化为葡萄糖-1-磷酸,进而抑制ADP-葡萄糖合成,使突变体淀粉含量降低[68]。同样的是,通过CRISPR-Cas9技术分别突变白杨树(Populus tremula×tremuloides) 2个pPGM (PGM1、PGM2)基因,2个品系完全展开的叶片、韧皮部组织和根尖中都缺乏淀粉[69]。此外,研究表明在异养状态下,植物组织pPGM调节淀粉合成和碳水化合物氧化代谢的碳分配中起着关键作用。例如,研究人员构建了一株拟南芥pPGM1功能缺失突变体,在早期种子发育过程中,由于PGM功能的缺失无法合成淀粉,突变体种子的碳存储较少,难以维持脂质合成;通过气相色谱分析种子总脂质提取物中的脂肪酸甲酯,结果显示,在同一培养条件下,pPGM1突变体的种子油脂含量减少了40%[70]。另外,有研究指出蓝藻PGM对糖原和中心碳代谢物的调节起着重要的作用,缺乏PGM的蓝藻会降低对强光或缺氮等压力的适应度;当磷酸甘露糖酶/葡萄糖磷酸变位酶复合酶(phosphomannomutase/ phosphoglucomutase, PMM/PGM)过表达时,蓝藻对这些应激的反应会降低[71]。在微藻糖代谢途径中,PGM似乎不只限于参与淀粉合成,还间接参与其他的糖代谢,一些藻类甘露糖-1-磷酸鸟苷酸转移酶(mannose-1-phosphate guanylyltransferase, MPG)能催化葡萄糖-1-磷酸或甘露糖-1-磷酸合成海藻酸[72],再通过尿苷二磷酸葡萄糖焦磷酸化酶(UDP-glucose pyrophosphorylase, UDPase)或GDP甘露糖焦磷酸化酶(GDP-mannose pyrophosphorylase, GMP)催化合成卡拉胶[73]或琼脂[74]
近年来,有研究人员在对微藻进行光自养培养和异养发酵时发现,微藻不仅能光合自养通过卡尔文循环获得多糖合成所需的物质,还能够通过从环境中吸收单糖合成淀粉[6, 75-77]。Koo等[78]通过γ辐射获得高产淀粉莱茵衣藻(Chlamydomonas reinhardtii)突变体,在所有突变体中,PGM过表达的莱茵衣藻细胞内葡萄糖-6-磷酸浓度低且淀粉含量高,这表明过表达PGM有利于藻细胞内葡萄糖-6-磷酸向葡萄糖-1-磷酸的转化,促进淀粉合成。有研究表明PGM的过表达可显著提高三角褐指藻(Phaeodactylum tricornutum)金藻昆布多糖含量并降低其脂质含量,过表达硅藻PGM,可能导致其多糖合成关键基因的表达水平显著增加,而脂质合成关键酶转录丰度显著降低,差异转录表明PGM协调了硅藻中金藻多糖和脂质生物合成途径[79]。这些结果可推断,PGM可能是碳水化合物和脂质代谢之间碳分流过程的关键调控节点。
在植物细胞中,PGM分为质体定位的pPGM和胞质定位的cPGM 2个亚型[14, 80],cPGM主要参与光合作用、呼吸作用、蔗糖代谢和细胞壁合成[10, 25, 81-83],pPGM主要确保淀粉合成过程中葡萄糖-1-磷酸的供应[11]。然而,真核微藻PGM的分类及潜在生物学功能仍不明确。真核微藻作为低等光合生物,其PGM可能同时拥有植物cPGM和pPGM的功能,或是具有PMM/PGM复合蛋白催化相关反应的特性[71-72]。通过基因编辑技术和组学分析进一步发掘真核微藻PGM的生理功能,可为调控微藻合成高值目标物质提供理论依据。
PGM是糖代谢的关键调节点,翻译后修饰是控制其活性的重要机制。微藻PGM被鉴定为具有2个丝氨酸磷酸化位点——Ser47和Ser152,其中Ser47位于酶的表面,处于一个被称为“闩锁”的环中;Ser152对应于催化活性丝氨酸残基,负责糖分子与酶之间的磷酸转移,通过对Ser47和Ser152的磷酸化和去磷酸化能调节藻类PGM活性[84-85]。研究表明,PGM催化的反应需要葡萄糖-1,6-二磷酸作为中间体实现磷酸基团在底物分子上的转移,葡萄糖-1,6-二磷酸的磷酸基团在酶分子活性位点被重新分配,1′或6′位置的磷酸基团转移到催化活性丝氨酸残基,从而实现葡萄糖-1-磷酸和葡萄糖-6-磷酸的相互转化,由于只有一个磷酸基团发生解离,因此酶活性位点在反应中持续保持磷酸化(图3)[84, 86]。Doello等[85]证实了,在氮饥饿时,蓝藻PGM残基(Ser47)被磷酸化后其活性显著下降。Periappuram等[70]从拟南芥中鉴定了一种PGM酶的编码序列(coding sequence, CDS) (GeneBank登录号:AJ242601),将蛋白命名为At-PGMp,氨基酸序列分析发现At-PGMp最保守的区域有催化反应中心(Ser-Ala-Ser181-His-Asn)、金属结合位点(Asp-Gly-Asp-Gly-Asp)和葡萄糖环结合位点(Cys-Gly-Glu-Glu-Ser-Phe),PGM蛋白氨基酸序列中2个Asp残基对协调辅因子Mg2+是必需的。在褐藻Saccharina japonica中鉴定的PMM/PGM复合蛋白保守基序显示,PMM/PGM蛋白由帽结构域和核心结构域组成,帽结构域(Arg125、Arg136和Arg143)氨基酸残基会与核心结构域(Arg23和Lys53)氨基酸残基形成静电斥力,使这2个结构域向底物开放;当带负电荷的底物与帽结构结合时,结构域会闭合形成催化反应所需的溶剂排斥环境,底物结合到帽结构域(Arg136、Arg143和Ser181)形成磷酸盐结合位点;Asp183、Arg125和Arg23结合甘露糖-1-磷酸或葡萄糖-1-磷酸,随后被推向活性位点[72]
在植物中,金属离子是PGM活性调节的重要元素(表4)。Mg2+是维持PGM活性所必需的[73, 87, 91]。Be2+离子对葡萄糖磷酸变位酶有较强的抑制作用,在10 μmol/L BeCl2存在的情况下,Be2+导致PGM快速失活;在添加Mg2+离子和EDTA后,酶活性被修复,并且恢复了约20%的酶活力,这可能是因为EDTA从酶上解离了抑制性金属离子[87]。从菠菜分离得到的2种PGM酶活性均表现出对MgCl2的高度依赖,当反应体系EDTA的浓度超过Mg2+ (10 mmol/L)达到30 mmol/L,PGM活性被完全抑制;另外,在咪唑缓冲体系中,当EDTA浓度为3 mmol/L低于Mg2+时,PGM酶的活性会增加,这表明Mg2+是维持PGM酶活性所必需的,低浓度EDTA可将酶结合位点解离抑制性盐离子,使Mg2+更好地与酶结合位点作用;而高浓度EDTA会抑制Mg2+与酶活性位点结合而导致PGM的失活[91]
褐藻Saccharina japonica的PMM/PGM表征发现,5 mmol/L金属化合物[如MgCl2 (Mg2+)]会显著提高PGM的活性,相较于未处理增加了约21倍,即由0.22 U/mg增加到4.63 U/mg;MnCl2 (Mn2+)对PGM活性也有一定的增强作用,PGM活性可提高到0.80 U/mg[72]。Jackson等[88]研究了在不同温度、pH和5 mmol/L不同金属离子(MgCl2、LiCl、CoCl2、MnCl2、CaCl2、NiCl2和ZnCl2)对褐藻Laminaria digitata PGM活性的影响,与对照相比,Mg2+、Mn2+和Zn2+对PGM的活性有显著促进作用,分别提高了10倍、6倍和6倍;Ca2+、Co2+、Ni2+和Li2+对PGM活性有一定的抑制作用;PGM在35−45 ℃温度区间内保持高活性,而65 ℃以上则失活;PGM在pH 8.0时表现最大活性。正钒酸钠(sodium orthovanadate)是一种常用的磷酸酯酶抑制剂,研究表明PGM活性会被葡萄糖-1-磷酸和无机钒酸盐形成的复合物所抑制[92]
一般认为,重金属对酶活性有一定的抑制作用。Devi等[89]研究探讨了外源铅(Pb)对豌豆幼苗生长、蔗糖代谢、淀粉降解、磷酸戊糖途径、糖酵解等途径重要酶活性的影响,发现在施加0.5 mmol/L Pb的胁迫条件下,豌豆PGM的活性在嫩茎和叶片中分别下调30%和24%,铅可能通过影响组织的碳水化合物状态,干扰生物体的吸水能力,从而抑制生物体的生长。
一些有机物也被证明可调节PGM活性(表4)。分散兰56 (disperse blue 56)是一种基于蒽醌的染料,在水溶液中会形成有机分子聚集体,是PGM的非竞争性抑制剂,在体外显示出强烈的抑制作用,能够在酶表面富集以抑制酶活性[93]。Chen等[74]发现在5 μmol/L分散兰56浓度下,红藻Gracilariopsis lemaneiformis PGM酶活性和琼脂含量下降了40%。
在微藻生长过程中,淀粉合成途径中间产物对PGM活性也有影响。在含有2.4 mmol/L果糖-1,6-二磷酸的情况下,拟南芥PGM活性下降了50%[70]。此外,在分别含有1 mmol/L的代谢物D-果糖-1-磷酸、D-果糖-6-磷酸、D-甘油-2-磷酸、果糖-1,6-二磷酸、甘油-2, 3-二磷酸、UDP-葡萄糖、AMP、ADP或ATP的体系检测酶活性,与未添加抑制剂相比,2种二磷酸盐抑制了PGM 56%−60%的酶活性,而其他物质抑制了PGM 5%−13%的酶活性[87]。这种由于多糖代谢途径中间产物而影响PGM活性的情况在莱茵衣藻中也有发现,葡萄糖-6-磷酸含量升高正反馈调节PGM表达,促进了淀粉的过度积累[78]。研究表明,甲硫氨酸会降低PGM转录水平,相比对照组减少了约53%,巯基保护试剂能提高酶制剂的稳定性,但相关的机理尚不明确[73]
24-表油菜素内酯(24-epibrassinolide, 24-epiBL)是一类人工合成的油菜素内酯类似物,对植物种子萌发、脂质过氧化、脯氨酸含量等均有调节作用[94]。汤小彬等[90]研究不同浓度24-epiBL和3种温度对红藻(Gracilariopsis lemaneiformis) PGM表达量的影响,结果表明,在15 ℃时,0.5 mg/L 24-epiBL的PGM表达量最高,为对照组的1.72倍;在25 ℃和31 ℃时,1.0 mg/L 24-epiBL处理组的PGM表达量最高,分别为对照组的2.38倍和1.51倍,藻细胞的琼脂含量与PGM表达量呈正相关关系。
微藻可合成蛋白质、多不饱和脂肪酸、色素等高附加值产物,已广泛应用于医药、食品、饲料、化妆品等领域。目前,微藻科技工作者一直致力于提高微藻目标物质合成的技术工艺,推动微藻生物技术和行业的发展。为此,本节将介绍现有微藻PGM对其高附加值产物合成的潜在影响,旨在为高效精准调控合成目标产物提供实践和理论依据。
在自养且高氮水平条件下,微藻细胞可合成高丰度的蛋白质。例如,螺旋藻(Spirulina)在适宜的生长环境下,蛋白质含量可达60%−70%[95]。小球藻在光自养且氮源充足的条件下,其蛋白质含量可达50%以上[96-97]。现有关于提高自养微藻蛋白质含量的研究工作,重心都集中在培养基优化,例如周有彩等[19]研究不同氮源对微藻细胞生长及蛋白质代谢的影响发现,以尿素氮为小球藻培养过程中的唯一氮源可使异养条件下蛋白质含量(<40%)提高至52.3%,与光自养条件相当。然而,自养微藻合成蛋白质所需的碳骨架主要来自其胞内淀粉降解形成的中间糖类代谢物(如丙酮酸、草酰乙酸等)[7, 98]。然而,在自养微藻淀粉代谢方面,研究者主要关注核酮糖-1, 5-二磷酸羧化酶/加氧酶(ribulose-1, 5-bisphosphate carboxylase/oxygenase, Rubisco)、AGPase等关键酶的调控[13, 99],关于明确微藻PGM是否调控蛋白质合成的研究报道还尚未发现。综上所述,微藻PGM是微藻淀粉合成的关键酶之一。因此,调控PGM活性是否影响自养微藻蛋白质合成值得更深入研究。
与自养培养不同,异养微藻可利用有机碳源进行发酵获得高蛋白含量的微藻生物质。以异养小球藻为例,其蛋白含量普遍较低(35%以下),导致藻类商业化开发困难。近年来,有研究人员提出微藻对营养物质的过度补偿理论[96],研究表明营养调控会影响异养小球藻淀粉代谢途径相关酶的基因表达,调控高值化产物合成所需的碳骨架流量[100-102]。Xiao等[6]通过两阶段氮调控提高异养小球藻蛋白质合成的研究发现,小球藻MBFJNU-17在缺氮培养下淀粉含量可达50.60%;随后进行富氮调控,此时微藻细胞开始吸收培养环境中的氮以合成蛋白质,当蛋白质含量达到峰值(55.60%)时,胞内淀粉含量会迅速下降到20.61%,这表明在异养培养过程中,淀粉代谢是小球藻MBFJNU-17胞内生物质转化的关键点。此外,通过转录组分析氮调控前后的小球藻基因表达表明,在小球藻MBFJNU-17淀粉代谢途径中,AGPase、PGM、SS等关键酶的基因在氮调控前后存在明显表达差异[6]。为此,着手开展包括PGM在内的关键酶活性调控,阐明这些关键酶如何整体上影响小球藻蛋白质合成的调控机制,可为异养小球藻蛋白质开发提供理论依据。
原核微藻的油脂合成代谢分布在细胞质,真核微藻的油脂合成代谢分布在叶绿体膜和内质网膜[103]。此外,由于不同微藻拥有自身独特的油脂代谢途径,使不同微藻合成的多不饱和脂肪酸种类及其丰度存在较大差异。例如,螺旋藻Spirulina platensis主要合成的多不饱和脂肪酸是γ⁃亚麻酸[104],小球藻主要合成亚油酸和α-亚麻酸[105-106],微拟球藻(Nannochloropsis oceanica)可合成二十碳五烯酸[107]。因此,开发微藻多不饱和脂肪酸也是微藻研究领域的热点方向。
目前,调控微藻油脂合成的研究工作集中在营养缺乏策略和分子生物学调控油脂代谢关键酶表达。为应对环境中营养缺乏带来的生长压迫,微藻会以糖类或脂质的形式储存能量[108-111]。研究表明在氮胁迫条件下,莱茵衣藻将淀粉转化为脂质,以三酰甘油酯(triacylglycerol, TAG)形式积累到细胞内[112]。藻类脂质合成受到中央碳代谢途径的转录调控,在缺氮时期,佐夫色绿藻(Chromochloris zofingiensis)的PGM转录水平上调,淀粉合成保持不变,但淀粉降解酶活性的提高使细胞内糖酵解途径的碳流主要分配到脂肪酸合成途径,促进油脂积累[110-111]。同样地,链带藻(Desmodesmus sp.)在氮胁迫条件下也表现出油脂含量的大幅增加(40%−50%)[113]。在硅藻Phaeodactylum tricornutum中,双功能UGPase-PGM融合转录本的敲除导致TAG积累急剧增加45倍[114]。微藻从环境中吸收CO2的过程,Rubisco起着关键作用,Wei等[115]通过在微拟球藻(Nannochloropsis oceanica)中过表达藻自身的Rubisco以提高光合作用效率,使生长率提高了32%,生物质积累提高约50%,脂质产量提高约41%。值得注意的是,调控微藻油脂合成的碳流量来自机体内的碳水化合物和蛋白质,在缺氮条件下微藻会降解多糖和蛋白质将碳重新分配到脂质中[110]。微藻从光合作用或糖酵解中获得的过量碳被重新分配到含碳化合物中,如葡萄糖-6-磷酸、果糖-6-磷酸、磷酸烯醇丙酮酸,然后通过γ-氨基丁酸途径、糖酵解和三羧酸循环转移到脂质代谢中,用于合成脂质[116]。对于自养微藻,提高自养微藻固碳效率促进细胞内碳水化合物的积累,再通过调控后有利于碳水化合物向油脂和/或多不饱和脂肪酸的合成[117-118]。正如4.1所述,促进自养微藻细胞内碳水化合物积累的机理研究多集中在Rubisco、AGPase等关键酶。目前,调控PGM活性对自养微藻油脂和多不饱和脂肪酸合成的响应特征,值得深入探究。
对于异养微藻,微藻合成油脂的碳骨架来自外源的有机碳源。在异养条件下微藻能够快速吸收葡萄糖,通过上调糖酵解和三羧酸循环加速葡萄糖的分解代谢,快速合成丙酮酸;同时,参与脂肪酸合成的大多数酶的上调和参与脂肪酸降解的酶的下调均有利于细胞内脂肪酸的合成[35]。近期,研究表明通过缺氮调控后,一些异养微藻(如小球藻、栅藻等)可将碳水化合物转化为淀粉[6, 119],这无疑不利于高附加值油脂的开发和应用。因此,若使糖酵解受阻,在代谢途径改变时,细胞可能寻找其他方式来产生能量和维持正常功能,这可能会促进脂质合成[74]。因此,揭示PGM等关键酶对调控异养微藻合成油脂和多不饱和脂肪酸的作用机制,可为高值化开发微藻多不饱和脂肪酸奠定理论基础。
不同微藻种属具有不同的色素合成通路,赋予其合成不同种类色素的能力。雨生红球藻(Haematococcus pluvialis)可合成虾青素[120-122],等鞭金藻(Isochrysis)合成岩藻黄素[123],杜氏盐藻主要合成β-胡萝卜素[121]。有些色素(如岩藻黄素)也是微藻重要捕光色素,对微藻光合作用具有重要的作用。代谢组学分析表明,在高碳源诱导条件下,微藻糖酵解、磷酸戊糖途径和三羧酸循环途径会增强,进而促进色素积累[124]。此外,藻类研究者尝试提高自养微藻细胞色素含量,一方面提高微藻的光合固碳性能,另一方面可获得含高浓度色素的微藻生物质资源。例如,在高密度培养微藻时,光无法均匀穿透培养基,导致光合作用受到抑制。为此,有研究人员提出,通过基因工程手段,降低莱茵衣藻叶绿素合成调控基因(tla1)的表达可减少细胞叶绿素含量,使更多的细胞参与到光合作用,提高整体光合效率[125]。微藻色素合成受生长条件和环境中营养物质丰度影响[126],培养基中的磷、氮和硫等元素已被证明是色素合成所必需的,其中不同的氮源对微藻色素含量影响最大[127-128]。研究表明在培养基中额外添加葡萄糖和硝酸盐可提升念珠藻(Nostoc commune)中藻蓝蛋白含量[129]。Kovač等[130]发现,提供稳定持续的光照和碳源会提高螺旋藻藻蓝蛋白(12倍)和别藻蓝蛋白(16倍)的含量。异养微藻合成目标产物的碳骨架来自培养基的有机碳[131],通过调节培养基营养组成(尤其是碳源)能明显影响藻类色素的合成;然而,关于碳源代谢酶与色素合成的调控机制研究仍然较少。尽管有报道指出碳通量变化会调控藻类色素合成速率,但其中的相关机理尚不明确[131]。因此,探明PGM等淀粉合成关键酶对调控微藻色素合成相关机制,可为微藻合成高值化产物工业化提供理论基础。
大量研究表明,异养培养的微藻也能合成其自养模式下的色素种类,但是色素含量存在差异。例如,异养培养被应用于藻类叶黄素的生产,通过异养培养小球藻可获得5.3 mg/g的藻类生物质叶黄素[132],而在光自养条件下,藻类叶黄素产量可达到约7.5 mg/g[131]。光自养条件下螺旋藻可合成获得高含量的天然藻蓝蛋白[131, 133];除了光自养,螺旋藻还可利用葡萄糖进行异养生长,在异养培养条件下,藻蓝蛋白的含量约为57 mg/g,大约是混合营养条件下的一半[131, 134]。正如4.2所述,异养微藻合成目标产物的碳骨架主要来自培养基的有机碳。在异养模式下,微藻通过碳代谢酶将从环境中获得的有机碳转化为淀粉等聚合物,为碳代谢反应提供中间糖代谢物[131]。PGM是淀粉合成的关键酶,调控异养微藻PGM,降低其淀粉合成,进而调节异养微藻的碳骨架流量,这是否可提高异养微藻目标色素的合成?跟踪现有的文献,这一研究尚处于空白的领域。
目前,微藻多糖、蛋白、脂质等高附加值产物产量低限制了微藻工业的发展。微藻PGM作为淀粉合成途径中关键的限速酶,对其分子特性和活性调控的研究仍然较少,对PGM影响藻类高附加值产物的研究仍聚焦于淀粉、琼脂等生物多糖,对PGM间接调控蛋白、油脂、色素等其他产物的研究关注不足。随着生物信息学和基因工程技术的发展,我们有望深入发掘PGM催化高值化产物合成的分子机制、调控途径及在其微藻发酵工业上潜在的应用价值,进一步明确藻类淀粉作为碳源转化为高附加值产物合成途径,深入研究PGM与淀粉合成途径中其他关键酶的相互作用。从分子水平出发,通过转录组学、代谢组学、蛋白组学等组学和结构生物学等技术,揭示微藻淀粉代谢的动态调节机制,为提高微藻在不同培养环境中的适应性和调控目标产物合成提供理论支持。这不仅有助于解析微藻淀粉合成的分子机制,也为未来对藻类工程改造提供了更准确的靶点,为发展微藻固碳技术和高值化开发微藻提供新思路,助力我国“双碳”目标奠定理论基础。
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2024年第64卷第9期
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doi: 10.13343/j.cnki.wsxb.20240140
  • 接收时间:2024-03-05
  • 首发时间:2026-03-20
  • 出版时间:2024-05-24
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  • 收稿日期:2024-03-05
  • 录用日期:2024-05-21
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National Natural Science Foundation of China(32172997)
Key Project of Fujian Provincial Department of Education(2022G02013)
Fujian Provincial Environmental Protection Science and Technology Plan(2023R0001)
Open-ended Project of Carbon Neutral Research Institute, Fujian Normal University(TZH-2022-03)
作者信息
    1 福建师范大学 生命科学学院, 福建 福州 350117
    2 福建师范大学, 工业微生物教育部工程研发中心, 福建 福州 350117

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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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