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Lihlahisoa

Metagenomic Sequencing -NGS

Setšoantšo sa 62

Metagenome ke pokello ea kakaretso ea liphatsa tsa lefutso tsa sehlopha se tsoakaneng sa lintho tse phelang, tse kang tikoloho le metagenome ea batho. E na le liphatsa tsa lefutso tsa likokoana-hloko tse lengoang le tse ke keng tsa lengoa. Shotgun metagenomic sequencing le NGS e nolofalletsa boithuto ba libaka tsena tse rarahaneng tsa genomic tse kentsoeng ka har'a lisampole tsa tikoloho ka ho fana ka lintlha tse fetang tsa taxonomic, ho fana ka leseli le hlakileng mabapi le mefuta-futa ea mefuta, matla a mangata le libopeho tse rarahaneng tsa baahi. Ntle le lithuto tsa taxonomic, shotgun metagenomics e boetse e fana ka pono e sebetsang ea genomics, e nolofalletsang ho hlahlojoa ha liphatsa tsa lefutso tse kentsoeng le likarolo tsa tsona tsa ho beha lintho lits'ebetsong tsa tikoloho. Qetellong, ho thehoa ha marang-rang a khokahano lipakeng tsa likarolo tsa lefutso le maemo a tikoloho ho kenya letsoho kutloisisong e akaretsang ea tšebelisano e rarahaneng lipakeng tsa lichaba tsa likokoana-hloko le semelo sa tsona sa tikoloho. Qetellong, tatellano ea metagenomic e eme e le sesebelisoa sa bohlokoa bakeng sa ho manolla merabe ea liphatsa tsa lefutso ea lichaba tse fapaneng tsa likokoana-hloko, e totobatsang likamano tse nang le likarolo tse ngata lipakeng tsa liphatsa tsa lefutso le ecology ka har'a tikoloho ena e rarahaneng.

Platforms: Illumina NovaSeq le DNBSEQ-T7


Lintlha tsa Tšebeletso

Bioinformatics

Demo Results

Lingoliloeng tse hlahang

Melemo ea Tšebeletso

Mokhoa oa ho itšehla thajana le oa ho Lema bakeng sa Boitsebiso ba Sechaba sa Likokoana-hloko: Ho nolofaletsa tatellano ea liphatsa tsa lefutso ho tsoa ho lintho tse ke keng tsa lengoa.

Qeto e Phahameng: Fumana mefuta e mengata e fokolang lisampoleng tsa tikoloho.

Tlhahlobo e Felletseng ea Bioinformatics:E ne e sa tsepamise maikutlo feela ho phapano ea lekhetho empa hape le ho fapana ha mesebetsi ea sechaba.

Boiphihlelo bo Atileng:Ka rekoto ea katleho ea ho koala merero e mengata ea metagenomics libakeng tse fapaneng tsa lipatlisiso le ho sebetsana le lisampole tse fetang 200,000, sehlopha sa rona se tlisa boiphihlelo bo bongata morerong o mong le o mong.

Litlhaloso tsa Tšebeletso

Sethala sa tatellano

Leano la Tatelano

Lintlha li khothalelitsoe

Taolo ea boleng

Illumina NovaSeq kapa DNBSEQ-T7

PE150

6-20Gb

Q30≥85%

Litlhoko tsa Tšebeletso

Khokahano (ng/µL)

Kakaretso (ng)

Bolumo (µL)

≥1

≥30

≥20

● Mobu / seretse: 2-3g
● Likahare tsa mala-phoofolo: 0.5-2g
● Likahare tsa mala-likokoanyana: 0.1-0.25g
● Sebaka sa semela (setsi se ruisitsoeng): 0.5-1g
● Fermentation moro o ruisitse sediment): 0.2-0.5g
● Mantle (liphoofolo tse khōlō): 0,5-2g
● Mantle (toeba): 3-5grains
● Pulmonary alveolar lavage fluid: sefa pampiri
● Ho hlajoa ka botšehaling: li-swabs tse 5-6
● Letlalo/boikutlo ba setho sa botona/mathe/matheba/thishu e bonolo ea molomo/pharyngeal swab/rectal swab: 2-3 swabs
● Likokoana-hloko tse ka holimo: li-swabs tse 5-6
● Metsi/moea/biofilm: pampiri e sefang
● Li-endophyte: 2-3g
● Letlapa la Meno: 0.5-1g

Phallo ea Mosebetsi oa Ts'ebeletso

tlhahiso ea mohlala

Mohlala oa thomello

Tokiso ea Laebrari

Kaho ea laebrari

Tatelano

Tatelano

Tlhahlobo ea lintlha

Tlhahlobo ea lintlha

Ka mor'a ho rekisa Litšebeletso

Litšebeletso tsa ka mor'a thekiso


  • E fetileng:
  • E 'ngoe:

  • 流程图 贝贝第三版-01

    E kenyelletsa tlhahlobo e latelang:

    ● Ho hlophisa taolo ea boleng ba data

    ● Kopano ea Metagenome le ho bolela esale pele liphatsa tsa lefutso

    ● Tlhaloso ea liphatsa tsa lefutso

    ● Tlhahlobo ea mefuta-futa ea alpha ea lekhetho

    ● Tlhahlobo ea ts'ebetso ea sechaba: ts'ebetso ea likokoana-hloko, metabolism, lithibela-mafu ho hanyetsa

    ● Tshekatsheko mabapi le mefuta e fapaneng ya tshebetso le ya taxonomic:

    Tlhahlobo ea mefuta-futa ea Beta

    Tlhahlobo ea lihlopha tse fapaneng

    Tlhahlobo ea kamano: lipakeng tsa maemo a tikoloho le sebopeho sa OUT le mefuta-futa

    Tlhahlobo ea ts'ebetso: Khahlano ea lithibela-mafu ea CARD

    Setšoantšo sa 63

    Tlhahlobo e fapaneng ea litsela tsa metabolic tsa KEGG: 'mapa oa mocheso oa litsela tsa bohlokoa

     

    Setšoantšo sa 64

     Mefuta e fapaneng ea alpha ea kabo ea taxonomic: index ea ACE

    Setšoantšo sa 65

     

    Phapang ea Beta ea kabo ea taxonomic: PCoA

    图片66

    Lekola tsoelo-pele e tsamaisoang ke litšebeletso tsa tatellano ea metagenome ea BMKGene le Illumina ka pokello e hlophisitsoeng ea lingoliloeng.

    Hai, Q. et al. (2023) 'Tlhahlobo ea metagenomic le metabolomic ea liphetoho tse ka har'a mala a trout ea mookoli (Oncorhynchus mykiss) e tšoaelitsoeng ke vaerase e tšoaetsanoang ea hematopoietic necrosis ka lithemparetjha tse fapaneng tsa metsi',Meeli ho Microbiology, 14, leq. 1275649. doi: 10.3389/FMICB.2023.1275649.

    Mao, C. et al. (2023) 'Lichaba tse nyenyane, liphatsa tsa lefutso, le likotsi tsa ho hanyetsa matšeng a litoropo tsa libaka tse fapaneng tsa trophic: Lihokelo tsa ka hare le tšusumetso ea kantle',Journal of Hazardous Materials Advances,9, leq. 100233. doi: 10.1016/J.HAZADV.2023.100233.

    Su, M. et al. (2022) 'Analysis ea Metagenomic e Senotse Liphapang ka Sebopeho le Mosebetsi Pakeng tsa Likokoana-hloko tse Kopantsoeng le Metsi le Tse Tiileng tsa Sheep Rumen',Meeli ho Microbiology, 13, leq. 851567. doi: 10.3389/FMICB.2022.851567.

    Yin, J. et al. (2023) 'Microbiota e nkiloeng ke kolobe e nonneng ea Ningxiang e khutlisetsa carnitine metabolism ho khothaletsa ho beoa ha mafura a mesifa ho likolobe tse omeletseng tsa DLY',The Innovation, 4(5), leq. 100486. doi: 10.1016/J.XINN.2023.100486.

    Zhao, X. et al. (2023) 'Litlhaloso tsa Metagenomic mabapi le likotsi tse ka bang teng tsa boemeli ba polasetiki e sa senyeheng le lithōle tse seng tsa polasetiki libakeng tse ka holimo le tse tlase tsa Haihe Estuary, Chaena',Saense ea The Total Environment, 887, leq. 164026. doi: 10.1016/J.SCITOTENV.2023.164026.

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