Papiso ea Genomics
Melemo ea Tšebeletso
●Lirekoto tse pharalletseng tsa Boitsebi le phatlalatso: ka ho bokelloa, BMKGene e phethetse merero e fetang 90 ea genomics e bapisang, 'me phello e akaretsang e fihlile ho 900.
●Tlhahlobo e phethahetseng ea bioinformatics: sephutheloana sa litlhahlobo se na le litlhahlobo tse robeli tse hlokoang haholo, tse fanang ka lipalo tse lokiselitsoeng ho phatlalatsoa hantle le ho lumella tlhaloso e bonolo ea liphetho.
●Sehlopha se nang le litsebo tse phahameng tsa bioinformatics le potoloho e khutšoane ea tlhahlobo: ka boiphihlelo bo botle ba tlhahlobo ea papiso ea genomics, sehlopha sa BMKGene se phethahatsa litlhoko tse fapaneng tsa tlhahlobo ea motho ka nako e khuts'oane.
●Tšehetso ea Ka mor'a Thekiso:Boitlamo ba rona bo fetela ka nģ'ane ho ho phethoa ha morero ka nako ea tšebeletso ea likhoeli tse 3 ka mor'a thekiso. Nakong ena, re fana ka tatellano ea projeke, thuso ea ho rarolla mathata, le linako tsa Q&A ho araba lipotso life kapa life tse amanang le sephetho.
Litlhaloso tsa Tšebeletso
| Khakanyo ea nako ea ho fetoha | Palo ea mefuta | E hlahloba |
| 30 matsatsi a ho sebetsa | 6 - 12 | Gene family clustering Katoloso ea lelapa la Gene le ho honyela Kaho ea sefate sa Phylogenetic Khakanyo ea nako ea phapano (ho hlokahala tekano ea mesaletsa ea lintho tsa khale) Nako ea ho kenya LTR (Bakeng sa limela) Phetolelo e felletseng ea genome (Bakeng sa limela) Khatello e khethehileng Synteny analysis |
Litlhahlobo tsa Bioinformatics
● Lelapa la Gene
● Phylogenetics
● Nako ea ho arohana
● Khatello e khethehileng
● Tlhahlobo ea mantsoe
Litlhoko tsa Mohlala le Phano
Litlhoko tsa Mohlala:
Tissue kapa DNA bakeng sa tatellano ea liphatsa tsa lefutso le kopano
Bakeng sa Tishu
| Mefuta | Tishu | Patlisiso | PacBio CCS |
| Phoofolo | Lisele tsa visceral | 0.5 ~ 1 g | ≥ 3.5 g |
| Lithishu tsa mesifa | |||
| ≥ 5.0 g | |||
| ≥ 5.0 mL | |||
| Mali a mammalian | |||
| ≥ 0.5 mL | |||
| Mali a likhoho/Litlhapi | |||
| Semela | Lekhasi le Lecha | 1 ~ 2 g | ≥ 5.0 g |
| Petale/Stem | 1 ~ 2 g | ≥ 10.0 g | |
| Motso/Peo | 1 ~ 2 g | ≥ 20.0 g | |
| Lisele | Seleng ea setso | - | ≥ 1 x 108 |
Lintlha
Lifaele tsa tatellano ea Genome(.fasta) le lifaele tsa litlhaloso (.gff3) tsa mefuta e amanang haufi-ufi
Phallo ea Mosebetsi oa Ts'ebeletso
Moqapi oa liteko
Mohlala oa thomello
Kaho ea laebrari
Tatelano
Tlhahlobo ea lintlha
Litšebeletso tsa ka mor'a thekiso
*Liphetho tsa demo tse bontšitsoeng mona kaofela li tsoa ho liphatsa tsa lefutso tse phatlalalitsoeng ka Biomarker Technologies
1.LTR kenya khakanyo ea nako: Palo e bonts'itsoeng kabo e ikhethileng ea bimodal linakong tsa ho kenya LTR-RTs ho Weining rye genome, ha e bapisoa le mefuta e meng. Tlhōrō ea morao-rao e hlahile lilemong tse ka bang limilione tse 0.5 tse fetileng.
Li Guang et al.,Nature Genetics, 2021
2.Phylogeny le gene family analysis ka chayote (Sechium edule) : Ka ho hlahloba chayote le mefuta e meng ea 13 e amanang le liphatsa tsa lefutso, ho ile ha fumanoa hore Chayote e amana haufi-ufi le lekhapetla la noha (Trichosanthes anguina). Chayote e nkiloeng ho lekhapetla la noha hoo e ka bang 27-45 Mya le phetiso e felletseng ea genome(WGD) e ile ea bonoa chayote ho 25±4 Mya, e leng ketsahalo ea boraro ea WGD ho cucuibitaceae.
Fu A et al.,Lipatlisiso tsa Temo ea Lirapa, 2021
3.Synteny analysis: Liphatsa tsa lefutso tse ling tse amanang le phytohormones nts'etsopele ea litholoana li ile tsa fumanoa ka chayote, mohope oa noha le squash. Kamano pakeng tsa chayote le squash e phahame hanyane ho feta pakeng tsa chayote le snake gourd.
Fu A et al.,Lipatlisiso tsa Temo ea Lirapa, 2021
Tlhahlobo ea malapa a 4.Gene: Ho ntlafatsa KEGG ka ho atolosoa ha liphatsa tsa lefutso le ho fokotseha ho G.thurberi le G.davidsonii genomes e bontšitse hore steroid biosynthesis le brassinosteroid biosynthesis tse amanang le liphatsa tsa lefutso li ile tsa atolosoa.
Yang Z et al.,BMC Biology, 2021
5.Tlhahlobo e felletseng ea phetiso ea liphatsa tsa lefutso: Tlhahlobo ea kabo ea 4DTV le Ks e bonts'itsoe ketsahalo e felletseng ea phetiso ea genome. Litlhōrō tsa li-intraspecies tse bonts'itsoeng liketsahalo tse pheta-phetoang. Litlhōrō tsa mefuta-futa e bontšitsoeng liketsahalo tse khethehileng. Tlhahlobo e bontšitse hore ha ho bapisoa le mefuta e meng e meraro e amanang haufi-ufi, O. europaea e fetile ka mokhoa o moholo oa phetiso ea liphatsa tsa lefutso haufinyane.
Rao G et al.,Lipatlisiso tsa Temo ea Lirapa, 2021
Taba ea BMK
Rose ntle le prickle: leseli la genomic le amanang le ho ikamahanya le mongobo
E hatisitsoe: Tlhahlobo ea Naha ea Saense, 2021
Leano la tatellano:
'BasyeSe se nang meutloa' (R.Wichurainan) genome:
Hoo e ka bang. 93 X PacBio + hoo e ka bang. 90 X Nanopore + 267 X Illumina
Liphetho tsa bohlokoa
1.Boleng ba boleng ba R.wichuraiana genome e hahiloe ho sebelisoa mekhoa ea tatellano ea nako e telele, e hlahisang kopano ea 530.07 Mb (Hakanyetso ea boholo ba genome e ne e ka ba 525.9 Mb ka cytometry ea phallo le 525.5 ka tlhahlobo ea genome Heterozygosity e ne e le haufi le 1.03%). BUSCO e hakantsoe hore lintlha li ne li le 93.9%. Ha ho bapisoa le "Old blush" (haploOB), boleng le phetheho ea genome ena e tiisitsoe ke ho nepahala ha motheo oa motheo le LTR kopano index (LAI = 20.03). R.wichuraiana genome e na le liphatsa tsa lefutso tse 32,674 tsa protheine.
2. Tlhahlobo e kopanetsoeng ea Multi-omics, e nang le papiso ea genomics, transcriptomics, tlhahlobo ea QTL ea liphatsa tsa lefutso, e senotse tlhaloso ea bohlokoa pakeng tsa R. wichuraiana le Rosa chinensis. Hape, ho fapana ha polelo ea liphatsa tsa lefutso tse amanang ho QTL ho ne ho ka amahanngoa le mokhoa oa ho etsa li-prickle.
Papiso ea genomics e bapisoang pakeng tsa Basye;'s Thornless le Rosa chinensis ho kenyelletsa tlhahlobo ea synteny, sehlopha sa malapa a lefutso, tlhahlobo ea katoloso le phokotso, e senotse mefuta e mengata e fapaneng, e amanang le litšobotsi tsa bohlokoa tsa lirosa. Katoloso e ikhethang ho NAC le lelapa la liphatsa tsa lefutso tsa FAR1/FRS e kanna ea amahanngoa le ho hanyetsa matheba a matšo.
Tlhahlobo ea papiso ea genomics lipakeng tsa BT le haploOB genomes.
Zhong, M., et al. "Rose ntle le prickle: leseli la genomic le amanang le ho ikamahanya le mongobo"Tlhahlobo ea Naha ea Saense, 2021;, nwb092.
