●Kuzviparadzanisa nevamwe uye Kurima-isina Nzira yeMicrobial Community Profileing: Kugonesa kutevedzana kwemajini kubva kune zvisingarimeke zvipenyu.
●High Resolution: Ongorora yakaderera-yakawanda mhando mumasampuli ezvakatipoteredza.
●Comprehensive Bioinformatics Analysis:Yakatarisana kwete chete pakusiyana-siyana kwetaxonomic asiwo pakushanda kwakasiyana-siyana kwenharaunda.
●Zvakawanda Zvakaitika:Iine rekodhi yekubudirira kuvhara akawanda metagenomics mapurojekiti munzvimbo dzakasiyana dzekutsvagisa uye kugadzirisa pamusoro pe200,000 samples, timu yedu inounza hupfumi hweruzivo kupurojekiti yega yega.
Sequencing chikuva | Sequencing Strategy | Data inokurudzirwa | Kudzora kwehutano |
Illumina NovaSeq kana DNBSEQ-T7 | PE150 | 6-20Gb | Q30≥85% |
Concentration (ng/µL) | Mari yese (ng) | Vhoriyamu (µL) |
≥1 | ≥30 | ≥20 |
● Ivhu / tsvina: 2-3g
● Intestinal content-mhuka: 0.5-2g
● Intestinal content-insect: 0.1-0.25g
● Nzvimbo yekudyara (yakapfuma sediment): 0.5-1g
● Kuvirisa muto wakapfumisa sediment): 0.2-0.5g
● Tsvina (mhuka huru): 0.5-2g
● Faeces (mbeva): 3-5 zviyo
● Pulmonary alveolar lavage fluid: filter paper
● Vaginal swab: 5-6 swabs
● Ganda/kutsemuka kwesikarudzi/mate/mukanwa munyoro/mumuromo manyoro/paryngeal swab/rectal swab: 2-3 swabs
● Surface microorganism: 5-6 swabs
● Mvura / mhepo / biofilm: pepa refirita
● Endophytes: 2-3g
● Dental Plaque: 0.5-1g
Inosanganisira ongororo inotevera:
● Sequencing data quality control
● Metagenome musangano uye gene kufanotaura
● Gene annotation
● Taxonomic alpha diversity analysis
● Kuongorora kwebasa remunharaunda: biological function, metabolic, antibiotic resistance
● Ongororo pane zvese zvinoshanda uye taxonomic siyana:
Beta siyana kuongororwa
Inter-group analysis
Correlation analysis: pakati pezvakatipoteredza zvinhu uye OUT kuumbwa uye kusiyana
Kuongorora kwekushanda: CARD antibiotic resistance
Kuongorora kwakasiyana kweKEGG metabolic nzira: heatmap yenzira dzakakosha
Alpha siyana yekugovera taxonomic: ACE index
Beta siyana yekugovera taxonomic: PCoA
Ongorora kufambira mberi kunofambiswa neBMKGene's metagenome sequencing masevhisi neIllumina kuburikidza neakaunganidzwa muunganidzwa wezvinyorwa.
Hai, Q. et al. (2023) 'Metagenomic uye metabolomic kuongororwa kwekuchinja kwemukati mukati memuraraungu trout (Oncorhynchus mykiss) inotapukirwa nehutachiona hwehematopoietic necrosis virus pane dzakasiyana tsika tembiricha yemvura',Frontiers muMicrobiology, 14, p. 1275649. doi: 10.3389/FMICB.2023.1275649.
Mao, C. et al. (2023) 'Nharaunda dzeMicrobial, majini ekupikisa, uye njodzi dzinoramba dziri mumadhamu emaguta emarudzi akasiyana etrophic: Zvemukati zvinongedzo uye zvekunze zvinofurira',Chinyorwa cheHazardous Materials Advances, 9, p. 100233. doi: 10.1016/J.HAZADV.2023.100233.
Su, M. et al. (2022) 'Metagenomic Analysis Yakaratidza Musiyano muKuumbwa uye Basa Pakati peLiquid-Associated uye Solid-Associated Microorganisms yeGwai Rumen',Frontiers muMicrobiology, 13, p. 851567. doi: 10.3389/FMICB.2022.851567.
Yin, J. et al. (2023) 'Obese Ningxiang nguruve-yakatorwa microbiota inodzosera carnitine metabolism kusimudzira tsandanyama fatty acid deposition muakaonda DLY nguruve',The Innovation, 4(5), p. 100486. doi: 10.1016/J.XINN.2023.100486.
Zhao, X. nevamwe. (2023) 'Metagenomicsights munjodzi dzingangoitika dzemumiriri bio/isina-kuora mapurasitiki uye asiri epurasitiki marara munzvimbo dzepamusoro nepasi dzeHaihe Estuary, China',Sayenzi yeThe Total Environment, 887, p. 164026. doi: 10.1016/J.SCITOTENV.2023.164026.