Abstract
Abstract
Background
Neo-tetraploid rice (NTR) is a new tetraploid rice germplasm that developed from the crossing and directional selection of different autotetraploid rice lines, which showed high fertility and promising yield potential. However, systematic yield assessment, genome composition and functional variations associated with fertility and yield remain elusive.
Results
Two season’s field trials of 15 NTRs and 27 autotetraploid rice (ATR) lines revealed that the improvement of YPP (yield per plant, 4.45 g increase) were significantly associated with the increase of SS (seed setting, 29.44% increase), and yield and seed setting of NTRs improved significantly compared to parental lines. Whole genome resequencing of 13 NTR sister lines and their parents at about 48.63 depth were conducted and genome compositions were illustrated using inherited chromosomal blocks. Interestingly, 222 non-parental genes were detected between NTRs and their low fertility parental lines, which were conserved in 13 NTRs. These genes were overlapped with yield and fertility QTLs, and RNA-Seq analysis revealed that 81 of them were enriched in reproductive tissues. CRISPR/Cas9 gene knockout was conducted for 9 non-parental genes to validate their function. Knockout mutants showed on an average 25.63% and 4.88 g decrease in SS and YPP, respectively. Notably, some mutants showed interesting phenotypes, e.g., kin7l (kinesin motor gene) and kin14m (kinesin motor gene), bzr3 (BES1/BZR1 homolog) and nrfg4 (neo-tetraploid rice fertility related gene) exhibited 44.65%, 24.30%, 24.42% and 28.33% decrease in SS and 8.81 g, 4.71 g, 5.90 g, 6.22 g reduction in YPP, respectively.
Conclusion
Comparative genomics provides insights into genome composition of neo-tetraploid rice and the genes associated with fertility and yield will play important role to reveal molecular mechanisms for the improvement of tetraploid rice.
Funder
Guangzhou Science and Technology Key Program
National Natural Science Foundation of China
Guangdong Province Key Research and Development Program
South China Agricultural University Doctor Student Joint Training Project
Publisher
Springer Science and Business Media LLC
Subject
Plant Science,Soil Science,Agronomy and Crop Science
Reference62 articles.
1. Alexander D, Carrie AD, Felix S, Jorg D, Chris Z, Sonali J, Philippe B, Mark C, Thomas RG (2013) STAR: ultrafast universal RNA-seq aligner. Bioinformatics 29(1):15–21
2. Andrews S (2010) FastQC: a quality control tool for high throughput sequence data Available online at: http://www.bioinformatics.babraham.ac.uk/projects/fastqc
3. Bei XJ, Shahid MQ, Wu JW, Chen ZX, Wang L, Liu XD (2019) Re-sequencing and transcriptome analysis reveal rich DNA variations and differential expressions of fertility-related genes in neo-tetraploid rice. PLoS One 14(4):e214953
4. Broad Institute (2019) A set of command line tools (in Java) for manipulating high-throughput sequencing (HTS) data and formats GitHub Repository: http://broadinstitute.github.io/picard/
5. Butt H, Eid A, Momin AA, Bazin J, Crespi M, Arold ST, Mahfouz MM (2019) CRISPR directed evolution of the spliceosome for resistance to splicing inhibitors. Genome Biol 20:73
Cited by
22 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献