ọkọlọtọ-03

Ngwaahịa

Usoro Mpempe Mpempe Akọwapụtara kpọmkwem-Locus (SLAF-Seq)

Usoro a nke BMKGene mepụtara n'onwe ya, enwere ike ịhazi ya n'ime usoro mkpụrụ ndụ ihe nleba anya belatara. Ọ na-ebuli enzyme mmachi edobere maka ọrụ ọ bụla. Nke a na-eme ka ọgbọ nke mkpado SLAF dị ukwuu (mpaghara 400-500 bps nke genome na-ahazi) bụ nke a na-ekesa n'otu n'otu n'ofe genome ka ọ na-ezere mpaghara ugboro ugboro nke ọma, si otú a na-emesi ike nchọpụta mkpụrụ ndụ ihe nketa kacha mma.

Ọ na-enye genotyping ngwa ngwa ma tọọ ntọala maka nchọpụta mkpụrụ ndụ ihe na-arụ ọrụ ma ọ bụ nyocha evolushọn na-ebelata ọnụ ahịa kwa nlele ka ọ na-ejigide arụmọrụ na nchọpụta mkpụrụ ndụ ihe nketa. RRGS na-enweta nke a site na iji enzymes mmachi gbarie DNA na ilekwasị anya n'ụdị nha nha, si otú a na-ahazi naanị obere akụkụ nke genome. N'ime usoro RRGS dị iche iche, Specific-Locus Amplified Fragment Sequencing (SLAF) bụ usoro a na-ahazi na nke dị elu.


Nkọwa ọrụ

Bioinformatics

Nsonaazụ ngosi

Akwụkwọ ndị egosipụtara

Usoro ọrụ

Ọrụ ahụ nwere ụfọdụ nhazi mbụ na silico iji kwe nkwa nhọrọ enzyme kacha mma na nkwadebe nke ọba akwụkwọ.

图片31

Atụmatụ nka

企业微信截图_17371044436345

Atụmatụ ọrụ

● Usoro na NovaSeq na PE150.

● Nkwadebe nke ọba akwụkwọ nwere koodu nzuzo abụọ, na-enyere aka ikpokọta ihe karịrị 1000 sample.

● N'adabereghị na genome ntụaka:

Site na genome ntụaka: nchọpụta SNP na InDel

Enweghị genome ntụaka: nchịkọta nlele na nchọpụta SNP

● N'imena silikiA na-enyocha usoro nhazi nke ọtụtụ mgbochi enzyme iji chọta ndị na-emepụta nkesa otu nke mkpado SLAF n'akụkụ genome.

● N'oge nnwale ahụ, a na-anwale ngwakọta enzyme atọ na nlele 3 iji mepụta ọba akwụkwọ SLAF 9, a na-eji ozi a họrọ ngwakọta enzyme mmachi kacha mma maka ọrụ ahụ.

Uru ọrụ

Nchọpụta ihe nrịbama mkpụrụ ndụ ihe nketa: Anyị na-ejikọta usoro koodu koodu abụọ dị elu nke na-enye ohere maka nhazi oge nke ọnụ ọgụgụ buru ibu, na mmụba mpaghara mpaghara na-eme ka arụmọrụ dịkwuo mma, na-eme ka ọnụ ọgụgụ mkpado na-egbo mkpa dị iche iche nke ajụjụ nyocha dị iche iche.

 Ndabere dị ala na Genome: Enwere ike itinye ya na ụdị ndị nwere ma ọ bụ na-enweghị akwụkwọ genome.

Nhazi atụmatụ na-agbanwe agbanwe: Otu-enzyme, dual-enzyme, multi-enzyme digestion, na ụdị dị iche iche nke enzymes nwere ike ịhọrọ iji kwado ihe mgbaru ọsọ nyocha ma ọ bụ ụdị dị iche iche.

 Ịrụ ọrụ dị elu na mgbaze Enzymatic: Nduzi nke ihena silikipre-design na a pre-nnwale na-ekwe nkwa kacha mma na ọbụna nkesa nke SLAF mkpado na chromosome (1 SLAF mkpado / 4Kb) na ibelata ugboro ugboro usoro (<5%).

Ọkachamara sara mbara: Anyị na-eweta ahụmahụ bara ụba na ọrụ ọ bụla, yana ndekọ ndekọ nke imechi ihe karịrị 5000 SLAF-Seq oru na ọtụtụ narị ụdị, gụnyere osisi, mammals, nnụnụ, ụmụ ahụhụ, na aquatic ntule.

 Usoro ọrụ bioinformatic mebere onwe ya: Anyị mepụtara usoro ọrụ bioinformatic agbakwunyere maka SLAF-Seq iji hụ na ntụkwasị obi na izi ezi nke mmepụta ikpeazụ.

Nkọwapụta ọrụ

 

Ụdị nyocha

Ọnụ ọgụgụ ndị akwadoro

Usoro usoro

   

Omimi nke mkpado usoro

Nọmba mkpado

Maapụ mkpụrụ ndụ ihe nketa

2 nne na nna na>150 ụmụ

Ndị nne na nna: 20x WGS

Agba: 10x

Nha genome:

<400 Mb: WGS ka akwadoro

<1Gb: mkpado 100k

1-2Gb:: mkpado 200K

> 2Gb: mkpado 300k

Mkpado kacha 500k

Ọmụmụ ihe gbasara otu Genome-Wide (GWAS)

≥200 samples

10x

Genetic Evolution

≥30 samples, na> 10 samples si ọ bụla subgroup

10x

Ihe achọrọ ọrụ

Ntinye uche ≥ 5 ng/µL

Mkpokọta ego ≥ 80 ng

Nanodrop OD260/280=1.6-2.5

Agarose gel: enweghị ma ọ bụ oke mmebi ma ọ bụ mmetọ

Nnyefe nlele akwadoro

Akpa: 2 ml centrifuge tube

(Maka ọtụtụ n'ime ihe atụ, anyị na-akwado ka ị ghara ichekwa na ethanol)

Ịkpọ aha nlele: Ọ dị mkpa ka e depụta ihe nlere anya nke ọma yana otu n'ụdị ozi nlele etinyere.

Mbupu: ice-akọrọ: A ga-ebu ụzọ tinye ihe nlele n'ime akpa wee lie ya na ice-akọrọ.

Usoro ọrụ ọrụ

Ihe atụ QC
Nnwale pilot
Nnwale SLAF
Nkwadebe ụlọ akwụkwọ
Usoro
Nyocha data
Mgbe ire Ọrụ

Ihe atụ QC

Nnwale pilot

SLAF-nnwale

Nkwadebe ụlọ akwụkwọ

Usoro

Nyocha data

Ọrụ ire ere


  • Nke gara aga:
  • Osote:

  • 图片32Nyocha bioinformatical anyị nwere:

    Data QC na mbelata data iji wepu N-ọgaranya agụ, ihe nkwụnye agụ ma ọ bụ agụ dị ala.

    Njikwa mma nke abụọ nke dị ọcha na-agụ iji lelee nkesa isi, ogo usoro na nyocha data, kamakwa iji lelee arụmọrụ mgbaze na ntinye enwetara.

    Ozugbo enyochara agụ, enwere nhọrọ abụọ:

    • Ịtụ aka na genome
    • Enweghị genome ntụaka: nchịkọta

    Mgbe nke ahụ gasịrị, a na-eji nyocha nke mkpado SLAF mee ụfọdụ ọkpụkpọ dị iche iche iji nyere aka na nchọpụta akara: SNP, InDel, SNV, oku CV na nkọwa.

    Nkesa nke mkpado SLAF na chromosomes:

     图片33

     

    Nkesa SNP na chromosomes:

     图片34Mgbanwe nke ọnụahịa SNP

    图片35

     

    Jiang S, Li S, Luo J, Wang X na Shi C (2023) QTL maapụ na nyocha transcriptome nke ọdịnaya shuga n'oge mfri eke.Pyrus pyrifolia.N'ihu. Osisi Sci.14:1137104. doi: 10.3389/fpls.2023.1137104

    Li, J., Zhang, Y., Ma, R., Huang, W., Hou, J., Fang, C., & Sun, L. (2022). Nchọpụta nke st1 na-ekpughe nhọrọ metụtara ịkụ mkpụrụ morphology na ọdịnaya mmanụ n'oge ụlọ soybean.Akwụkwọ akụkọ ihe ọkụkụ nke biotechnology, 20 (6), 1110-1121. https://doi.org/10.1111/pbi.13791

    Xu, P., Zhang, X., Wang, X.et al.Usoro genome na ụdị mkpụrụ ndụ ihe nketa dị iche iche nke carp nkịtị,Cyprinus carpio.Na Genet 46, 1212–1219 (2014). https://doi.org/10.1038/ng.3098

    Zhuang, W., Chen, H., Yang, M.et al.Mkpụrụ ndụ ihe nketa nke ahụekere na-akọ na-enye nghọta banyere ụdị karyotypes legume, evolushọn polyploid na ihe ọkụkụ.Na Genet 51, 865–876 (2019). https://doi.org/10.1038/s41588-019-0402-2

     

    Afọ

    Akwụkwọ akụkọ

    IF

    Aha

    Ngwa

    2022

    Nkwukọrịta okike

    17.694

    Genomic ndabere nke giga-chromosomes na giga-genome nke osisi peony

    Paeonia ostii

    SLF-GWAS

    2015

    Ọkachamara gbasara ahụike ọhụrụ

    7,433

    Akara ukwu nke ụlọ na-akwado mpaghara genomic nke mkpa agronomic dị na

    soybean

    SLF-GWAS

    2022

    Akwụkwọ akụkọ nyocha dị elu

    12.822

    Genom-wide artificial introgressions nke Gossypium barbadense n'ime G. hirsutum

    kpughee loci dị elu maka imeziwanye ogo na mkpụrụ nke eriri owu n'otu oge

    àgwà

    SAF-Evolutionary genetics

    2019

    Osisi Molecular

    10.81

    Ọnụọgụ Genomic Analysis na De Novo Assembly na-ekpughe mmalite nke ahịhịa

    Rice dị ka egwuregwu evolushọn

    SAF-Evolutionary genetics

    2019

    Genetics okike

    31.616

    Usoro genome na ụdị mkpụrụ ndụ ihe nketa dị iche iche nke carp nkịtị, Cyprinus carpio

    SLF-njikọ map

    2014

    Genetics okike

    25,455

    Mkpụrụ ndụ ihe nketa nke ahụekere na-akọ na-enye nghọta na legume karyotypes, polyploid

    evolushọn na ihe ubi domestication.

    SLF-njikọ map

    2022

    Akwụkwọ akụkọ ihe ọkụkụ nke biotechnology

    9,803

    Nchọpụta nke ST1 na-ekpughe nhọrọ metụtara ịkụ mkpụrụ morphology mkpụrụ

    na mmanụ dị n'ime ya n'oge anụ ụlọ soybean

    SLF-Marker mmepe

    2022

    Akwụkwọ akụkọ International nke Science Molecular

    6.208

    Nchọpụta na Mmepe Ihe nrịbama DNA maka Wheat-Leymus mollis 2Ns (2D)

    Ngbanwe chromosome Disomik

    SLF-Marker mmepe

     

    Afọ

    Akwụkwọ akụkọ

    IF

    Aha

    Ngwa

    2023

    Frontiers na sayensị osisi

    6,735

    Maapụ QTL na nyocha transcriptome nke ọdịnaya shuga n'oge mfri eke Pyrus pyrifolia

    Maapụ mkpụrụ ndụ ihe nketa

    2022

    Akwụkwọ akụkọ ihe ọkụkụ nke biotechnology

    8.154

    Nchọpụta nke ST1 na-ekpughe nhọrọ metụtara ịkụ mkpụrụ morphology na ọdịnaya mmanụ n'oge a na-elekọta soybean.

     

    SNP na-akpọ

    2022

    Frontiers na sayensị osisi

    6,623

    Nkewa otu Genome-Wide Association nke Hulless Barely Phenotypes na gburugburu ọkọchị.

     

    GWAS

    nweta ntinye okwu

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