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期刊名:Molecular plant

缩写:MOL PLANT

ISSN:1674-2052

e-ISSN:1752-9867

IF/分区:32.7/Q1

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共收录本刊相关文章索引2710
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Chao Zhang,Bao Zhu,Deli Sun et al. Chao Zhang et al.
Salicylic acid (SA) is a well-known medicinal compound and an essential phytohormone that regulates plant growth and stress responses. SA biosynthesis in plants occurs through two primary pathways: the isochorismate synthase (ICS) pathway a...
Yizhou Wang Yizhou Wang
Global agriculture confronts an escalating paradox: securing more food for a growing population with increasingly scarce and erratic water resources. At the physiological core of this challenge lie stomata-microscopic pores that control CO2...
Yan Wang,Tailai Yang,Yuru Song et al. Yan Wang et al.
Tomato (Solanum lycopersicum) is of the world's most important vegetable crops and a model species for research within the Solanaceae family, holding both significant economic and scientific significance. Rapid progress in multi-omics techn...
Cailin Hu,Yuese Ning,Wei Li et al. Cailin Hu et al.
Artificial selection of functional genes shapes crops agronomic traits including disease resistance and reproductive development. Recently, Lin et al. (2026) reported that rice nucleotide-binding leucine-rich repeat receptor (NLR) XA48 and ...
Yuxiu Li,Xiaodong Wang,Dongping Lu et al. Yuxiu Li et al.
Receptor-like protein kinases (RLKs) serve as critical regulators in diverse biological processes, ranging from modulation of growth and development to responses to complicated environmental stimuli. These proteins typically mediate cellula...
Shuyu Li,Jingjing Liao,Jingjing Zhang et al. Shuyu Li et al.
While artificially generated mutants offer valuable insights into protein evolutionary trajectories in laboratory settings, plasticity in paralog evolution during natural evolutionary processes remains poorly explored. Here, we identified P...