数字农科院2.0

Overexpression of forage millet (Setaria italica) SiER genes enhances drought resistance of Arabidopsis thaliana

文献类型： 外文期刊

作者： Dai, Hanjing;Huang, Xiaoyi;Wang, Yingrun;Zhu, Shoujing;Li, Jieqin;Xu, Zhaoshi;Zheng, Jiacheng

作者机构：

关键词： Arabidopsis thaliana L.;biomass production;drought resistance;expression patterns;forage millet;genes structure;PEG6000;SiER genes

期刊名称： FUNCTIONAL PLANT BIOLOGY

ISSN： 1445-4408

年卷期： 2024 年 51 卷 9 期

页码：

收录情况： SCIE（2024版）

摘要： ERECTA (ER) is a type of receptor-like kinase that contributes a crucial mission in various aspects of plant development, physiological metabolism, and abiotic stresses responses. This study aimed to explore the functional characteristics of the SiER family genes in millet (Setaria italica L.), focusing on the growth phenotype and drought resistance of Arabidopsis overexpressed SiER4_X1 and SiER1_X4 genes (SiERs). The results revealed that overexpression of SiER4_X1 and SiER1_X4 genes in Arabidopsis significantly enhanced the leaf number, expanded leaf length and width, further promoted the silique number, length and diameter, and plant height and main stem thickness, ultimately leading to a substantial increase in individual plant biomass. Compared to the wild-type (WT), through simulated drought stress, the expression level of SiER genes was notably upregulated, transgenic Arabidopsis seeds exhibited stronger germination rates and root development; after experiencing drought conditions, the activities of antioxidant enzymes (superoxide dismutase and peroxidase) increased, while the levels of malondialdehyde and relative electrical conductivity decreased. These results indicate that overexpression of SiERs significantly enhanced both biomass production and drought resistance in Arabidopsis. The SiER4_X1 and SiER1_X4 genes emerge as promising candidate genes for improving biomass production and drought resistance in forage plants.

分类号：

  • 相关文献

[1]普通菜豆种质资源芽期抗旱性鉴定. 李龙,王兰芬,武晶,景蕊莲,王述民. 2013

[2]干旱胁迫下转csp2基因和非转基因烟草抗旱生理比较. 谢琳,代其林,周文波,马明莉,郭翠,王劲. 2014

[3]芝麻耐旱性的鉴定方法及关联分析. 黎冬华,刘文萍,张艳欣,王林海,危文亮,高媛,丁霞,王蕾,张秀荣. 2013

[4]Uptake, subcellular distribution, and chemical forms of cadmium in wild-type and mutant rice. He Jun-Yu,Zhu Cheng,Yan Yu-Ping,Cheng Chang,Jiang De-An,Zhu Cheng,Ren Yan-Fang,Sun Zong-Xiu.

[5]GhCaM7-like, a calcium sensor gene, influences cotton fiber elongation and biomass production. Cheng, Yuan,Lu, Lili,Yang, Zhaoen,Wu, Zhixia,Qin, Wenqiang,Yu, Daoqian,Ren, Zhongying,Li, Yi,Wang, Lingling,Li, Fuguang,Yang, Zuoren,Cheng, Yuan.

[6]What are the differences in yield formation among two cucumber (Cucumis sativus L.) cultivars and their F1 hybrid?. WANG X.-J., KANG M.-Z., FAN X.-R., YANG L.-L., ZHANG B.-G., HUANG S.-W., DE REFFYE P., WANG F.-Y.. 2020

[7]Temporal stabilizing effects of species richness and seed arrangement on grassland biomass production. Ren, Haiyan,Yurkonis, Kathryn A.,Wang, Lifeng,Chang, Jiechao,Vogeler, Iris,Chen, Dima,Liu, Manqiang,Yu, Qiang. 2022

[8]Genome-wide identification of nitrate transporter genes from Spirodela polyrhiza and characterization of SpNRT1.1 function in plant development. Lv M.,Dong T.,Wang J.,Zuo K.. 2022

[9]Editorial: Advances in crop biomass production based on multi-omics approach. Yin Li,Weizhen Liu,Xingtan Zhang,Shouchuang Wang,Ramin Yadegari,Jianping Wang. 2023

[10]Bi-Directional Selection In Upland Rice L.eads To Its Adaptive D ifferentiation From Lowland Rice In Drought Resistance And Productivity. Xiong, Jie,Xiong, Jie,Lou, Qiaojun,Fan, Longjiang,Wei, Haibin,Xia, Hui,Yang, Hua,Qiu, Jie,Fan, Longjiang,Luo, Lijun,Luo, Zhi,Liu, Guolan,Luo, Lijun,Chen, Liang,Qiu, Jie,Ma, Xiaosong,Luo, Zhi. 2019

[11]Analysis of global gene expression profiles in tobacco roots under drought stress. Pan, Guangtang,Yin, Fuqiang,Liu, Ming,Zhang, Wenyou,Qin, Cheng,Shen, Yaou,Lin, Haijian,Zhang, Zhiming,Yang, Aiguo,Luo, Chenggang,Liu, Haobao,Gao, Jian,Gao, Jian,Gao, Jian. 2015

[12]Advances and Developing Tendency of Water Use Efficiency in Plant Biology. Chen Zhao-bo,Chen Zhao-bo,Tang Jiao-wen,Zhang Fu. 2009

[13]Large-scale screening for maize drought resistance using multiple selection criteria evaluated under water-stressed and well-watered environments. Hao, Zhuanfang,Xie, Chuanxiao,Li, Xinhai,Zhang, Shihuang,Lu, Yanli,Crossa, Jose,Araus, Jose-Luis,Taba, Suketoshi,Xu, Yunbi,Lu, Yanli,Gao, Shibin,Pan, Guangtang,Rong, Tingzhao,Vivek, Bindiganavile S.,Magorokosho, Cosmos,Mugo, Stephen,Makumbi, Dan,Xu, Yunbi.

[14]Comparative LD mapping using single SNPs and haplotypes identifies QTL for plant height and biomass as secondary traits of drought tolerance in maize. Lu, Yanli,Xu, Jie,Yuan, Zhimin,Lan, Hai,Rong, Tingzhao,Lu, Yanli,Xu, Yunbi,Xu, Yunbi,Shah, Trushar.

[15]Joint linkage-linkage disequilibrium mapping is a powerful approach to detecting quantitative trait loci underlying drought tolerance in maize. Lu, Yanli,Shah, Trushar,Farkhari, Mohammad,Xu, Yunbi,Lu, Yanli,Cao, Moju,Rong, Tingzhao,Xu, Yunbi,Farkhari, Mohammad,Ribaut, Jean-Marcel.

[16]Mapping QTLs for seedling root traits in a doubled haploid wheat population under different water regimes. Liu, Xiulin,Chang, Xiaoping,Jing, Ruilian,Liu, Xiulin,Li, Runzhi.

[17]Identification of two functional markers associated with drought resistance in maize. Liu, Sisi,Hao, Zhuanfang,Weng, Jianfeng,Li, Mingshun,Zhang, Degui,Zhang, Shihuang,Li, Xinhai,Liu, Sisi,Pan, Guangtang.

[18]A proposed selection criterion for drought resistance across multiple environments in maize. Hao, Zhuan-Fang,Li, Xin-Hai,Su, Zhi-Jun,Xie, Chuan-Xiao,Li, Ming-Shun,Weng, Jian-Feng,Zhang, De-Gui,Li, Liang,Zhang, Shi-Huang,Liang, Xiao-Ling,Li, Liang.

[19]The ethylene response factor OsERF109 negatively affects ethylene biosynthesis and drought tolerance in rice. Yu, Yanwen,Gu, Juntao,Wang, Fengru,Dong, Jingao,Yu, Yanwen,Yang, Dexin,Zhou, Shirong,Huang, Rongfeng,Huang, Rongfeng.

[20]Genetic analysis and QTL mapping of maize yield and associate agronomic traits under semi-arid land condition. Guo, Jiufeng,Zhang, Jinpeng,Wang, Guoying,Wang, Guoying,Guo, Jiufeng,Su, Guoqin. 2008

作者其他论文 更多>>