Lou Qiaojun, Chen Liang, Mei Hanwei, Xu Kai, Wei Haibin, Feng Fangjun, Li Tiemei, Pang Xiaomeng, Shi Caiping, Luo Lijun, Zhong Yang
Department of Ecology and Evolutionary Biology, School of Life Sciences, Fudan UniversityShanghai, China.
Shanghai Agrobiological Gene CenterShanghai, China.
Front Plant Sci. 2017 Jul 26;8:1314. doi: 10.3389/fpls.2017.01314. eCollection 2017.
Drought is the most serious abiotic stress limiting rice production, and deep root is the key contributor to drought avoidance. However, the genetic mechanism regulating the development of deep roots is largely unknown. In this study, the transcriptomes of 74 root samples from 37 rice varieties, representing the extreme genotypes of shallow or deep rooting, were surveyed by RNA-seq. The 13,242 differentially expressed genes (DEGs) between deep rooting and shallow rooting varieties (H vs. L) were enriched in the pathway of genetic information processing and metabolism, while the 1,052 DEGs between the deep roots and shallow roots from each of the plants (D vs. S) were significantly enriched in metabolic pathways especially energy metabolism. Ten quantitative trait transcripts (QTTs) were identified and some were involved in energy metabolism. Forty-nine candidate DEGs were confirmed by qRT-PCR and microarray. Through weighted gene co-expression network analysis (WGCNA), we found 18 hub genes. Surprisingly, all these hub genes expressed higher in deep roots than in shallow roots, furthermore half of them functioned in energy metabolism. We also estimated that the ATP production in the deep roots was faster than shallow roots. Our results provided a lot of reliable candidate genes to improve deep rooting, and firstly highlight the importance of energy metabolism to the development of deep roots.
干旱是限制水稻产量的最严重非生物胁迫,而深根是避旱的关键因素。然而,调控深根发育的遗传机制在很大程度上尚不清楚。在本研究中,通过RNA测序对来自37个水稻品种的74个根样本的转录组进行了检测,这些品种代表了浅根或深根的极端基因型。深根品种和浅根品种(H vs. L)之间的13242个差异表达基因(DEG)在遗传信息处理和代谢途径中富集,而每个植株的深根和浅根之间(D vs. S)的1052个DEG在代谢途径尤其是能量代谢中显著富集。鉴定出10个数量性状转录本(QTT),其中一些参与能量代谢。通过qRT-PCR和微阵列对49个候选DEG进行了验证。通过加权基因共表达网络分析(WGCNA),我们发现了l8个枢纽基因。令人惊讶的是,所有这些枢纽基因在深根中的表达均高于浅根,而且其中一半在能量代谢中发挥作用。我们还估计深根中ATP的产生比浅根更快。我们的结果为改善深根提供了许多可靠的候选基因,并首次强调了能量代谢对深根发育的重要性。