Chen, T.T., Zhang, L., Shang, H.H., Liu, S.D., Peng, J., Gong, W.K., Shi, Y.Z., Zhang, S.P., Li, J.W., Gong, J.W., Ge, Q., Liu, A.Y., Ma, H.J., Zhao, X.H. and Yuan, Y.L. (2016) iTRAQ-Based Quantitative Proteomic Analysis of Cotton Roots and Leaves Reveals Pathways Associated with Salt Stress. PLoS ONE, 11, e0148487.
https://doi.org/10.1371/journal.pone.0148487

has been cited by the following article:

• TITLE: Quantitative Analysis of Pathway Enrichment within Faba Bean Seeds RNA-Seq (Vicia faba L)

  AUTHORS: Shi Y. Yang, Nuredin Habili, Qi Wu, Yunjie Wang, Jiang Li, Jeffrey G. Paull

  KEYWORDS: RNA-Seq (Quantification), Faba Bean (Vicia faba), Seed, Pathway Enrichment, Quantitative Analysis

  JOURNAL NAME: American Journal of Plant Sciences, Vol.10 No.12, December 31, 2019

  ABSTRACT: Faba bean (Vicia faba L) seeds are an important source of plant protein for humans and animals. A total of 15,697 Differentially Expressed Genes (DEGs) with pathway annotation were discovered in RNA-Seq of the faba bean seeds. A total of 75 significant KEGG pathways abundance were discovered and 9 pathways were conserved within all genotypes. 41 significant pathways were found to be partially conserved within comparisons of 2 to 6 pairs of genotypes and 25 significant pathways were unique to single pairs of genotypes. There were 8 specific significant pathways discovered related to the faba bean seed Hydration Capacity trait and 9 specific significant pathways discovered related to the PSbMV seeds staining trait. The DEGs demonstrated the genetic distance between these varieties was confirmed by the breeding pedigree selection information and a PCA graph clearly illustrated the genetic distance within these genotypes.