A High-Density Genetic Map Enables Genome Synteny and QTL Mapping of Vegetative Growth and Leaf Traits in Gardenia.
A High-Density Genetic Map Enables Genome Synteny and QTL Mapping of Vegetative Growth and Leaf Traits in Gardenia.
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DOI:
10.3389/fgene.2021.802738
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发表时间:
2021
影响因子:
3.7
通讯作者:
Wang X
中科院分区:
文献类型:
--
作者:
Cui Y;Fan B;Xu X;Sheng S;Xu Y;Wang X
The gardenia is a traditional medicinal horticultural plant in China, but its molecular genetic research has been largely hysteretic. Here, we constructed an F1 population with 200 true hybrid individuals. Using the genotyping-by-sequencing method, a high-density sex-average genetic map was generated that contained 4,249 SNPs with a total length of 1956.28 cM and an average genetic distance of 0.46 cM. We developed 17 SNP-based Kompetitive Allele-Specific PCR markers and found that 15 SNPs were successfully genotyped, of which 13 single-nucleotide polymorphism genotypings of 96 F1 individuals showed genotypes consistent with GBS-mined genotypes. A genomic collinearity analysis between gardenia and the Rubiaceae species Coffea arabica, Coffea canephora and Ophiorrhiza pumila showed the relativity strong conservation of LG11 with NC_039,919.1, HG974438.1 and Bliw01000011.1, respectively. Lastly, a quantitative trait loci analysis at three phenotyping time points (2019, 2020, and 2021) yielded 18 QTLs for growth-related traits and 31 QTLs for leaf-related traits, of which qBSBN7-1, qCD8 and qLNP2-1 could be repeatably detected. Five QTL regions (qCD8 and qSBD8, qBSBN7 and qSI7, qCD4-1 and qLLLS4, qLNP10 and qSLWS10-2, qSBD10 and qLLLS10) with potential pleiotropic effects were also observed. This study provides novel insight into molecular genetic research and could be helpful for further gene cloning and marker-assisted selection for early growth and development traits in the gardenia.
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影响因子:
4.4
作者:
Berlin S;Lagercrantz U;von Arnold S;Ost T;Rönnberg-Wästljung AC
通讯作者:
Rönnberg-Wästljung AC
影响因子:
3.7
作者:
Baird NA;Etter PD;Atwood TS;Currey MC;Shiver AL;Lewis ZA;Selker EU;Cresko WA;Johnson EA
通讯作者:
Johnson EA
影响因子:
5.6
作者:
Ji F;Wei W;Liu Y;Wang G;Zhang Q;Xing Y;Zhang S;Liu Z;Cao Q;Qin L
通讯作者:
Qin L
影响因子:
2.4
作者:
Hanley, S. J.;Mallott, M. D.;Karp, A.
通讯作者:
Karp, A.
影响因子:
1.6
作者:
Deng, Shao-yong;Wang, Xian-rong;Yang, Chun-xia
通讯作者:
Yang, Chun-xia