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Original article
Yu Zhang
Yunnan Key Laboratory for Rice Genetic Improvement, Food Crops Research Institute, Yunnan Academy of Agricultural Sciences (YAAS), Kunming 650200,P. R. China.
Corresponding Author
ORCiD: https://orcid.org/0000-0003-0921-1755
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: Rice improvement depends on the availability of genetic variation, and AA genome Oryza species are the natural reservoir of favorable genes which are useful for rice breeding. Developing the introgression library using multiple AA genome species was rarely reported.
Results: In this study, to systematically evaluate and utilize potentially valuable QTLs/genes or allelic variations, based on the evaluation and selection of agronomic traits, 6372 introgression lines (ILs) were raised by crossing 330 accessions of 7 AA genome species as the donor parents, with three elite cultivars of O. sativa, Dianjingyou 1, Yundao 1 and RD23 as the recurrent parents, respectively. Further, twenty-six, twenty-six and nineteen loci were detected in the multiple donors using 1,401 ILs in the Dianjingyou 1 background for grain length, grain width, and the ratio of grain length to grain width, respectively. Interestingly, ten loci had opposite effect on grain length in the different donors, so did grain width. Moreover, one locus for grain width, qGW3.1, was validated using the segregation population derived from the donor of O. glumaepatula.
Conclusions: This introgression library provided the powerful resource for future rice improvement and genetic dissection of allelic variations. Selections of favorable alleles that are present in wild relatives proceed the driving force of the rice domestication.
Keywords
Rice, AA genome, IL (Introgression line), Grain size, Allelic variation
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This is a list of supplementary files associated with this preprint. Click to download.
- FigureS1.png
Figure S1-S7. Physical map of the introgression lines from the different donors.
- FigureS2.png
Figure S1-S7. Physical map of the introgression lines from the different donors.
- FigureS3.png
Figure S1-S7. Physical map of the introgression lines from the different donors.
- FigureS4.png
Figure S1-S7. Physical map of the introgression lines from the different donors.
- FigureS5.png
Figure S1-S7. Physical map of the introgression lines from the different donors.
- FigureS6.png
Figure S1-S7. Physical map of the introgression lines from the different donors.
- TableS1.xlsx
Table S1. The accessions of AA genome species used for developing introgression lines.
- TableS2.xlsx
Table S2. The information of ILs used for genotype analysis.
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This is a preprint. It has not completed peer review.
Original article
Yu Zhang
Yunnan Key Laboratory for Rice Genetic Improvement, Food Crops Research Institute, Yunnan Academy of Agricultural Sciences (YAAS), Kunming 650200,P. R. China.
Corresponding Author
ORCiD: https://orcid.org/0000-0003-0921-1755
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 04 Feb, 2021
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: Rice improvement depends on the availability of genetic variation, and AA genome Oryza species are the natural reservoir of favorable genes which are useful for rice breeding. Developing the introgression library using multiple AA genome species was rarely reported.
Results: In this study, to systematically evaluate and utilize potentially valuable QTLs/genes or allelic variations, based on the evaluation and selection of agronomic traits, 6372 introgression lines (ILs) were raised by crossing 330 accessions of 7 AA genome species as the donor parents, with three elite cultivars of O. sativa, Dianjingyou 1, Yundao 1 and RD23 as the recurrent parents, respectively. Further, twenty-six, twenty-six and nineteen loci were detected in the multiple donors using 1,401 ILs in the Dianjingyou 1 background for grain length, grain width, and the ratio of grain length to grain width, respectively. Interestingly, ten loci had opposite effect on grain length in the different donors, so did grain width. Moreover, one locus for grain width, qGW3.1, was validated using the segregation population derived from the donor of O. glumaepatula.
Conclusions: This introgression library provided the powerful resource for future rice improvement and genetic dissection of allelic variations. Selections of favorable alleles that are present in wild relatives proceed the driving force of the rice domestication.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
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