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综合生理和转录组分析揭示了对……培养反应背后的分子机制。 (原句中“in”后面缺少具体内容)

Integrated physiological and transcriptomic analyses reveal the molecular mechanism behind the response to cultivation in .

作者信息

Jiang Min, Li Xinman, Yuan Yangchen, Zhang Guowei, Pang Jiushuai, Ren Junjie, Wang Jinmao, Yang Minsheng

机构信息

College of Forestry, Hebei Agricultural University, Baoding, China.

Hongyashan State-Owned Forest Farm, Baoding, China.

出版信息

Front Plant Sci. 2022 Aug 8;13:947696. doi: 10.3389/fpls.2022.947696. eCollection 2022.

DOI:10.3389/fpls.2022.947696
PMID:36003809
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9393570/
Abstract

, a common tree species for building and landscaping in northern China, has great commercial and ecological value. The seedlings of grow poorly and develop chlorosis when introduced from high-altitude mountains to low-altitude plains. Effective cultivation measures are key to improving the quality of seedlings. To investigate the complex responses of to different cultivation measures, we compared the adaptability of 3-year-old seedlings to pruning (P), irrigation (W), and fertilization [F (nitro compound fertilizer with 16N-16P-16K)]. Physiological measurements and transcriptome sequencing were performed on leaves collected under the P treatments (control, cutting, removal of all lateral branches, and removal of base branches to one-third of seedling height), the W treatments (0, 1, 2, 3, 4, or 5 times in sequence), and the F treatments (0, 2, 4, and 6 g/plant). Analyses of the physiological data showed that P was more effective than W or F for activating intracellular antioxidant systems. By contrast, W and F were more beneficial than P for inducing the accumulation of soluble sugar. OPLS-DA identified superoxide dismutase, malondialdehyde, and peroxidase as critical physiological indices for the three cultivation measures. Transcriptome analyses revealed 1,012 differentially expressed genes (DEGs) in the P treatment, 1,035 DEGs in the W treatment, and 1,175 DEGs in the F treatment; these DEGs were mainly enriched in Gene Ontology terms related to the stress response and signal transduction. Weighted gene coexpression network analyses indicated that specific gene modules were significantly correlated with MDA (one module) and soluble sugar (four modules). Functional annotation of the hub genes differentially expressed in MDA and soluble sugar-related modules revealed that responded and adapted to different cultivation measures by altering signal transduction, hormone levels, reactive oxygen species, metabolism, and transcription factors. The hub genes HOP3, CIPK11, WRKY22, and BHLH35 in the coexpression networks may played a central role in responses to the cultivation practices. These results reveal the mechanism behind the response of to different cultivation measures at the physiological and molecular levels and provide insight into the response of plants to cultivation measures.

摘要

[某种植物名称]是中国北方用于建筑和园林绿化的常见树种,具有很高的商业和生态价值。当从高海拔山区引种到低海拔平原时,[该植物名称]的幼苗生长不良并出现黄化现象。有效的栽培措施是提高苗木质量的关键。为了研究[该植物名称]对不同栽培措施的复杂反应,我们比较了3年生[该植物名称]幼苗对修剪(P)、灌溉(W)和施肥[F(含16N - 16P - 16K的硝基复合肥)]的适应性。对在P处理(对照、短截、去除所有侧枝以及将基部枝条去除至苗高的三分之一)、W处理(依次为0、1、2、3、4或5次)和F处理(0、2、4和6克/株)下采集的叶片进行了生理测量和转录组测序。生理数据分析表明,在激活细胞内抗氧化系统方面,P比W或F更有效。相比之下,在诱导可溶性糖积累方面,W和F比P更有益。正交偏最小二乘法判别分析(OPLS - DA)确定超氧化物歧化酶、丙二醛和过氧化物酶是这三种栽培措施的关键生理指标。转录组分析显示,P处理中有1012个差异表达基因(DEGs),W处理中有1035个DEGs,F处理中有1175个DEGs;这些DEGs主要富集在与应激反应和信号转导相关的基因本体论术语中。加权基因共表达网络分析表明,特定的基因模块与丙二醛(一个模块)和可溶性糖(四个模块)显著相关。对在丙二醛和可溶性糖相关模块中差异表达的枢纽基因进行功能注释表明,[该植物名称]通过改变信号转导、激素水平、活性氧、代谢和转录因子来响应和适应不同的栽培措施。共表达网络中的枢纽基因HOP3、CIPK11、WRKY22和BHLH35可能在对栽培措施的响应中起核心作用。这些结果揭示了[该植物名称]在生理和分子水平上对不同栽培措施响应的机制,并为植物对栽培措施的响应提供了见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7731/9393570/93c72a455044/fpls-13-947696-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7731/9393570/80ea94a0450a/fpls-13-947696-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7731/9393570/675bc1ba25dd/fpls-13-947696-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7731/9393570/fb5a3eaec70a/fpls-13-947696-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7731/9393570/4209271f73fb/fpls-13-947696-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7731/9393570/6946fb112f2e/fpls-13-947696-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7731/9393570/6c4b13e63c07/fpls-13-947696-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7731/9393570/b60e6dfc61d0/fpls-13-947696-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7731/9393570/ba683813c8b4/fpls-13-947696-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7731/9393570/93c72a455044/fpls-13-947696-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7731/9393570/80ea94a0450a/fpls-13-947696-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7731/9393570/675bc1ba25dd/fpls-13-947696-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7731/9393570/fb5a3eaec70a/fpls-13-947696-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7731/9393570/4209271f73fb/fpls-13-947696-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7731/9393570/6946fb112f2e/fpls-13-947696-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7731/9393570/6c4b13e63c07/fpls-13-947696-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7731/9393570/b60e6dfc61d0/fpls-13-947696-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7731/9393570/ba683813c8b4/fpls-13-947696-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7731/9393570/93c72a455044/fpls-13-947696-g009.jpg

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