Huang Liubin, Zhang Lingyuan, Zhang Ping, Liu Junna, Li Li, Li Hanxue, Wang Xuqin, Bai Yutao, Jiang Guofei, Qin Peng
Yunnan Agricultural University, Kunming, China.
BMC Genomics. 2024 Dec 20;25(1):1231. doi: 10.1186/s12864-024-11151-y.
Quinoa, as a new food crop, has attracted extensive attention at home and abroad. However, the natural disaster of spike germination seriously threatens the quality and yield of quinoa. Currently, there are limited reports on the molecular mechanisms associated with spike germination in quinoa.
In this study, we utilized transcriptome sequencing technology and successfully obtained 154.51 Gb of high-quality data with a comparison efficiency of more than 88%, which fully demonstrates the extremely high reliability of the sequencing results and lays a solid foundation for subsequent analysis. Using these data, we constructed a weighted gene co-expression network (WGCNA) related to starch, sucrose, α-amylase, and phenolic acid metabolites, and screened six co-expression modules closely related to spike germination traits. Two of the modules associated with physiological indicators were analyzed in depth, and nine core genes were finally predicted. Further functional annotation revealed four key transcription factors involved in the regulation of dormancy and germination processes: gene LOC110698065, gene LOC110696037, gene LOC110736224, and gene LOC110705759, belonging to the bHLH, NF-YA, MYB, and FAR1 gene families, respectively.
These results provide clues to identify the core genes involved in quinoa spike germination. This will ultimately provide a theoretical basis for breeding new quinoa varieties with resistance.
藜麦作为一种新型粮食作物，在国内外受到广泛关注。然而，穗发芽这一自然灾害严重威胁着藜麦的品质和产量。目前，关于藜麦穗发芽相关分子机制的报道有限。
在本研究中，我们利用转录组测序技术，成功获得了154.51 Gb的高质量数据，比对效率超过88%，充分证明了测序结果的极高可靠性，为后续分析奠定了坚实基础。利用这些数据，我们构建了一个与淀粉、蔗糖、α-淀粉酶和酚酸代谢产物相关的加权基因共表达网络（WGCNA），并筛选出六个与穗发芽性状密切相关的共表达模块。对其中两个与生理指标相关的模块进行了深入分析，最终预测出九个核心基因。进一步的功能注释揭示了四个参与休眠和发芽过程调控的关键转录因子：基因LOC110698065、基因LOC110696037、基因LOC110736224和基因LOC110705759，分别属于bHLH、NF-YA、MYB和FAR1基因家族。
这些结果为鉴定参与藜麦穗发芽的核心基因提供了线索。这最终将为培育具有抗性的藜麦新品种提供理论依据。
