●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.
Sethala sa tatellano | Leano la Tatelano | Lintlha li khothalelitsoe | Taolo ea boleng |
Illumina NovaSeq kapa DNBSEQ-T7 | PE150 | 6-20Gb | Q30≥85% |
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
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
Tlhahlobo e fapaneng ea litsela tsa metabolic tsa KEGG: 'mapa oa mocheso oa litsela tsa bohlokoa
Mefuta e fapaneng ea alpha ea kabo ea taxonomic: index ea ACE
Phapang ea Beta ea kabo ea taxonomic: PCoA
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.