Metagenomic Sequencing -NGS
Metagenome muunganidzwa weiyo yakazara genetic zvinhu yenharaunda yakasanganiswa yezvipenyu, senge zvakatipoteredza uye metagenomes yevanhu. Iine genomes ezviviri zvinorimwa uye zvisingarimike tupukanana. Shotgun metagenomic sequencing neNGS inogonesa kudzidza kweaya akaomarara genomic landscapes akaiswa mumasample ezvakatipoteredza nekupa zvinopfuura taxonomic profiling, ichipawo ruzivo rwakakura mukusiyana kwemarudzi, kuwanda kwemasimba, uye kuoma kwehuwandu hwevanhu. Kupfuura zvidzidzo zvetaxonomic, pfuti metagenomics inopawo inoshanda genomics maonero, ichigonesa kuongororwa kwemajini akavharidzirwa uye mabasa awo ekuisa mumaitiro ezvisikwa. Chekupedzisira, kugadzwa kwematanho ekubatanidza pakati pema genetic zvinhu uye zvakatipoteredza zvinokonzeresa kunzwisiswa kwakazara kwekudyidzana kwakaomarara pakati penharaunda dzetwudiki nemamiriro avo ezvakatipoteredza. Mukupedzisa, metagenomic sequencing inomira sechimbo chakakosha kuburitsa kuomarara kwegenomic kwenharaunda dzakasiyana siyana dzehutachiona, kuvhenekera hukama hwakasiyana-siyana pakati pemajini uye ecology mukati meiyi yakaoma ecosystems.
Mapuratifomu: Illumina NovaSeq uye DNBSEQ-T7
Basa Rinobatsira
●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.
Sevhisi Zvinotsanangurwa
| Sequencing chikuva | Sequencing Strategy | Data inokurudzirwa | Kudzora kwehutano |
| Illumina NovaSeq kana DNBSEQ-T7 | PE150 | 6-20Gb | Q30≥85% |
Zvinodiwa Zvebasa
| 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
Kuyerera Kwebasa Rebasa
Muenzaniso wekutumira
Kuvakwa kweraibhurari
Sequencing
Data analysis
Mushure mekutengesa masevhisi
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.
