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Nā huahana

Ke Kaʻina Metagenomic -NGS

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ʻO ka metagenome kahi hōʻiliʻili o ka nui o nā mea genetic o kahi kaiāulu hui o nā meaola, e like me nā metagenomes kaiapuni a me ke kanaka. Loaʻa iā ia nā genomes o nā microorganisms hiki ke kanu a kanu ʻole ʻia. Hiki i ka Shotgun metagenomic sequencing me NGS ke aʻo ʻana i kēia mau ʻāina genomic paʻakikī i hoʻokomo ʻia i loko o nā laʻana kaiapuni ma o ka hāʻawi ʻana i nā mea ʻoi aku ma mua o ka taxonomic profiling, me ka hāʻawi ʻana i nā ʻike kikoʻī i nā ʻano ʻano like ʻole, ka nui o ka dynamics, a me nā hale paʻakikī. Ma waho aʻe o nā haʻawina ʻauhau, hāʻawi pū ka metagenomics shotgun i kahi hiʻohiʻona genomics hana, hiki ke ʻimi i nā ʻano genes i hoʻopaʻa ʻia a me kā lākou hana putative i nā kaʻina kaiaola. ʻO ka mea hope loa, ʻo ka hoʻokumu ʻana i nā ʻupena hoʻopili ma waena o nā mea genetic a me nā mea pili i ke kaiapuni e hāʻawi i ka ʻike holoʻokoʻa o ka pilina paʻakikī ma waena o nā kaiāulu microbial a me ko lākou ʻano kaiaola. I ka hopena, kū ka metagenomic sequencing ma ke ʻano he mea nui no ka wehe ʻana i nā paʻakikī genomic o nā kaiāulu microbial like ʻole, e hoʻomālamalama ana i nā pilina multifaceted ma waena o ka genetics a me ka ecology i loko o kēia mau kaiaola paʻakikī.

Nā papahana: Illumina NovaSeq a me DNBSEQ-T7


Nā kikoʻī lawelawe

Bioinformatics

Nā hopena hōʻike

Nā puke pai ʻia

Pono lawelawe

Hoʻokaʻawale a mahiʻai ʻole no ka Microbial Community Profiling: E hiki ai ke kaʻina ʻana o nā mea moʻo mai nā mea ola ʻole.

Hoʻoholo Kiʻekiʻe: E ʻike i nā ʻano ʻano haʻahaʻa haʻahaʻa ma nā laʻana kaiapuni.

ʻIkepili Bioinformatics piha:ʻAʻole i nānā wale i ka ʻokoʻa taxonomic akā i ka ʻokoʻa hana o ke kaiāulu.

ʻIke Nui:Me kahi moʻolelo o ka hoʻopau kūleʻa ʻana i nā papahana metagenomics he nui i nā kikowaena noiʻi like ʻole a me ka hoʻoili ʻana ma luna o 200,000 mau laʻana, lawe kā mākou hui i ka waiwai o ka ʻike i kēlā me kēia papahana.

Nā kikoʻī lawelawe

Anuu hoʻonohonoho

Hoʻolālā Sequencing

Manaʻo ʻia ka ʻikepili

Ka hoomalu maikai

ʻO Illumina NovaSeq a i ʻole DNSSEQ-T7

PE150

6-20Gb

Q30≥85%

Nā Koina lawelawe

Hoʻopaʻa (ng/µL)

huina nui (ng)

Volume (µL)

≥1

≥30

≥20

● Ka lepo / ka lepo: 2-3g
● Maʻiʻo ʻōpū-holoholona: 0.5-2g
● Nā mea i loko o ka ʻōpū-insect: 0.1-0.25g
● ʻili o nā mea kanu (sediment waiwai): 0.5-1g
● Fermentation broth enriched sediment): 0.2-0.5g
● Faeces (holoholona nui): 0.5-2g
● Faeces (iole): 3-5grains
● Pulmonary alveolar holoi holoi: pepa kānana
● ʻAi ʻāʻī: 5-6 swabs
● ʻili/ ʻāʻī ʻāʻī / kohu / waha palupalu / pharyngeal swab / rectal swab: 2-3 swabs
● ʻO nā microorganism o ka ʻili: 5-6 swabs
● Kino wai/ea/biofilm: pepa kānana
● Endophytes: 2-3g
● Papa niho: 0.5-1g

Holo Hana Hana

hāʻawi laʻana

Hāʻawi laʻana

Hoʻomākaukau hale waihona puke

Kūkulu hale waihona puke

Ke kaʻina ʻana

Ke kaʻina ʻana

ʻIkepili ʻikepili

ʻIkepili ʻikepili

Mahope o ke kuai ana

Nā lawelawe ma hope o ke kūʻai aku


  • Mua:
  • Aʻe:

  • 流程图 贝贝第三版-01

    Loaʻa i kēia ka nānā ʻana:

    ● Ka hoʻomalu ʻana i ka maikaʻi o ka ʻikepili

    ● Hui Metagenome a me ka wānana gene

    ● Hōʻike Gene

    ● Kānāwai ʻokoʻa alpha taxonomic

    ● Ka nānā 'ana o ke kaiāulu: ka hana biological, metabolic, antibiotic resistance

    ● Ka nānā 'ana i ka 'oko'a hana a me ka 'auhau:

    ʻIkepili ʻokoʻa Beta

    ʻIkepili waena

    Ka nānā 'ana i ka pilina: ma waena o nā mea kaiapuni a me ka haku mele 'ana a me ka 'oko'a

    Nānā hana: CARD antibiotic resistance

    图片63

    ʻO ka nānā ʻana i nā alahele metabolic KEGG: heatmap o nā ala koʻikoʻi

     

    图片64

     Ka ʻokoʻa Alpha o ka puʻunaue ʻauhau: ACE index

    图片65

     

    Ka ʻokoʻa Beta o ka mahele ʻauhau: PCoA

    图片66

    E ʻimi i nā holomua i hoʻokō ʻia e nā lawelawe hoʻokaʻina metagenome a BMKGene me Illumina ma o ka hōʻiliʻili ʻana o nā puke.

    Hai, Q. et al. (2023) 'Metagenomic a me ka metabolomic analysis o nā loli i loko o ka ʻōpū o ke ānuenue trout (Oncorhynchus mykiss) i hoʻopaʻa ʻia me ka maʻi ʻeha hematopoietic necrosis ma nā ʻano wela o ka wai moʻomeheu',Nā palena i ka Microbiology, 14, p. 1275649. doi: 10.3389/FMICB.2023.1275649.

    Mao, C. et al. (2023) 'Nā kaiaulu microbial, nā genes kū'ē, a me nā pilikia kū'ē i nā loko kūlanakauhale o nā moku'āina trophic like'ole: Nā loulou i loko a me nā hopena o waho',Nūpepa o nā mea pilikia, 9, p. 100233. doi: 10.1016/J.HAZADV.2023.100233.

    Su, M. et al. (2022) 'Hōʻike ʻia ka ʻike ʻana o Metagenomic i nā ʻokoʻa o ka hoʻohui ʻana a me ka hana ma waena o nā ʻano microorganisms pili i ka wai a me nā mea paʻa o ka hipa Rumen',Nā palena i ka Microbiology, 13, p. 851567. doi: 10.3389/FMICB.2022.851567.

    Yin, J. et al. (2023) 'Obese Ningxiang puaʻa microbiota rewires carnitine metabolism no ka paipai ʻana i ka hoʻoheheʻe ʻana o ka momona momona i nā puaʻa DLY lean',Ka Hana Hou, 4(5), p. 100486. doi: 10.1016/J.XINN.2023.100486.

    Zhao, X. et al. (2023) 'Nāʻike metagenomic i nā pilikia e hiki mai ana o nā mea bio/non-degradable plastic a me nā ʻōpala non-plastic ma luna a me lalo o Haihe Estuary, Kina',ʻEpekema o Ka Kaiapuni Hui Pū ʻIa, 887, p. 164026. doi: 10.1016/J.SCITOTENV.2023.164026.

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