Aifu Li

ORCID: 0000-0003-1443-1672
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About
Contact & Profiles
Research Areas
  • Plant nutrient uptake and metabolism
  • Plant Molecular Biology Research
  • Legume Nitrogen Fixing Symbiosis
  • Photosynthetic Processes and Mechanisms
  • Rice Cultivation and Yield Improvement
  • Plant Stress Responses and Tolerance
  • Genetic Mapping and Diversity in Plants and Animals
  • RNA Research and Splicing
  • Light effects on plants
  • Cancer-related molecular mechanisms research
  • Agriculture, Soil, Plant Science
  • Nematode management and characterization studies
  • RNA modifications and cancer
  • Circadian rhythm and melatonin
  • Advanced Data Storage Technologies

University of Michigan
2023-2025

The Ohio State University
2025

State Key Laboratory of Plant Genomics
2017-2022

Institute of Genetics and Developmental Biology
2017-2022

Chinese Academy of Sciences
2017-2022

University of Chinese Academy of Sciences
2020-2021

It has been suggested that melatonin acts as an important regulator in controlling root growth and development, but the underlying molecular mechanism driving this relationship remains undetermined. In study, we demonstrated a potent molecule to govern architecture rice. Treatments with significantly inhibited embryonic growth, promoted lateral formation development. Genome-wide expression profiling by RNA-sequencing revealed auxin-related genes were activated under treatment. Moreover,...

10.3389/fpls.2017.00134 article EN cc-by Frontiers in Plant Science 2017-02-07

ABSTRACT Hybrid rice ( Oryza sativa ) generally outperforms its inbred parents in yield and stress tolerance, a phenomenon termed heterosis, but the underlying mechanism is not completely understood. Here, we combined transcriptome, proteome, physiological, heterosis analyses to examine salt response of super hybrid Chaoyou1000 (CY1000). In addition surpassing mean values for two (mid‐parent heterosis), CY1000 exhibited higher reactive oxygen species scavenging ability than both (over‐parent...

10.1111/jipb.13640 article EN Journal of Integrative Plant Biology 2024-03-14

RNA sequencing has been widely applied for gene isoform quantification, but limitations exist in quantifying isoforms of complex genes accurately, especially short reads. Here we identify that are difficult to quantify accurately with reads and illustrate the information benefit using long these regions. We present miniQuant, which ranks quantification errors caused by ambiguity read alignments integrates complementary strengths optimal combination a gene- data-specific manner achieve more...

10.1038/s41587-025-02633-9 article EN cc-by Nature Biotechnology 2025-06-03
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