Oh Jae-Hyeon, Lee Ye-Ji, Byeon Eun-Ju, Kang Byeong-Chul, Kyeoung Dong-Soo, Kim Chang-Kug
Genomics Division, National Institute of Agricultural Sciences, Jeonju, 54874 Korea.
2Department of Environmental Resources, Sangmyung University, Cheonan, 31066 Korea.
3 Biotech. 2018 Feb;8(2):115. doi: 10.1007/s13205-018-1140-3. Epub 2018 Feb 7.
Anthocyanins are involved in many diverse functions in rice, but their benefits have yet to be clearly demonstrated. Our objective in this study was to identify anthocyanin-related genes in black rice plants. We identified anthocyanin-related genes in black rice plants using a combination of whole-genome resequencing, RNA-sequencing (RNA-seq), microarray experiments, and reverse-transcriptase polymerase chain reaction (RT-PCR). Using multi-layer screening from 30 rice accessions, we identified 172,922 single-nucleotide polymorphisms (SNPs) and 1276 differentially expressed genes that appear to be related to anthocyanin biosynthesis. We identified 18 putative genes from 172,922 SNPs using intensive selective sweeps. The 18 candidate genes identified from SNPs were not significantly correlated with the RNA-seq expression pattern or other well-known anthocyanin biosynthesis/metabolism genes. We also identified nine putative genes from 1276 differentially expressed genes using RNA-seq transcriptome analysis. In addition, we identified four phylogenetic groups from these nine candidate genes and 51 pathway-network genes. Finally, we verified nine anthocyanin-related genes using a newly designed microarray and semi-quantitative RT-PCR. We suggest that these nine identified genes appear to be related to the regulation of anthocyanin biosynthesis and/or metabolism.
花青素在水稻中具有多种不同功能,但其益处尚未得到明确证实。本研究的目的是鉴定黑米植株中与花青素相关的基因。我们结合全基因组重测序、RNA测序(RNA-seq)、微阵列实验和逆转录聚合酶链反应(RT-PCR),在黑米植株中鉴定出了与花青素相关的基因。通过对30份水稻种质进行多层筛选,我们鉴定出172,922个单核苷酸多态性(SNP)和1276个似乎与花青素生物合成相关的差异表达基因。我们通过密集的选择性扫描从172,922个SNP中鉴定出18个推定基因。从SNP中鉴定出的18个候选基因与RNA-seq表达模式或其他已知的花青素生物合成/代谢基因没有显著相关性。我们还通过RNA-seq转录组分析从1276个差异表达基因中鉴定出9个推定基因。此外,我们从这9个候选基因和51个通路网络基因中鉴定出4个系统发育组。最后,我们使用新设计的微阵列和半定量RT-PCR验证了9个与花青素相关的基因。我们认为,这9个已鉴定的基因似乎与花青素生物合成和/或代谢的调控有关。