Proteomics data analysis using multiple statistical approaches identified proteins and metabolic networks associated with sucrose accumulation in sugarcane

Proteomics data analysis using multiple statistical approaches identified proteins and metabolic networks associated with sucrose accumulation in sugarcane

Abstract Background Sugarcane is the most important sugar crop, contributing > 80% of global sugar production. High sucrose content is a key target of sugarcane breeding, yet sucrose improvement in sugarcane remains extremely slow for decades. Molecular breeding has the potential to break through...

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Bibliographic Details
Main Authors: Ao-Mei Li, Zhong-Liang Chen, Cui-Xian Qin, Zi-Tong Li, Fen Liao, Ming-Qiao Wang, Prakash Lakshmanan, Yang-Rui Li, Miao Wang, You-Qiang Pan, Dong-Liang Huang
Format: Article
Language:English
Published: BMC 2022-07-01
Series:BMC Genomics
Subjects:
Sugarcane
Proteomics
Differentially abundant protein
Statistical approach
Sucrose accumulation
Online Access:https://doi.org/10.1186/s12864-022-08768-2

Internet

https://doi.org/10.1186/s12864-022-08768-2

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