声明
Abbreviations
Chapter 1:Introduction
1.1.Overview of the selection process of RJBs
1.2.Molecular insights into the RJBs achieving high performance of RJ yields
1.2.1.Proteome comparison of HGs of honeybee workers between RJBs and ITBs
1.2.2.Proteome comparison of MGs during the adult life between ITBs and RJBs
1.2.3.Neurobiological basis of elevated RJ production: brain membrane proteome and phosphoproteome comparison of RJBs and other honeybee species and/or lines
1.2.4.Comparison of hemolymph proteome of RJBs and ITBs
1.3.RJ from different bee species or strains reveal the biological significance to honeybees
1.4.Activity-based proteome profiling: a new approach to investigate the molecular basis of high RJ secretion
1.5. Objectives
Chapter 2.Activity-based proteome profiling of hypopharyngeal gland reveals the molecular basis of extreme reproductive investments that induce colony-level high royal jelly-producing bee syndrome
2.1. Summary
2.2. Introduction
2.3. Objective
2.4.Materials and Methods
2.4.1. Experimental design and statistical rationale
2.4.2.Assessment of reproductive investment
2.4.3.Hypopharyngeal gland acinus area
2.4.4.Protein extraction
2.4.5. Labeling of protein samples with serine hydrolase FP probe
2.4.6.Molecular characterization of serine hydrolase FP probe-reactive proteins using LC-MS/MS Analysis
2.4.7.Identification and abundance level quantification of proteins
2.4.8. GO term enrichment analysis
2.4.9.Validation of differentially expressed enzymes in HG using an enzyme assay
2.4.10.Statistical analysis
2.5. Result
2.5.1.Reproductive investment via alloparenting
2.5.2.HG acinus area
2.5.3. Quality assessment of proteomics data
2.5.4.Comparison of biologically active HG proteome between ITBs and RJBs
2.5.5.Biologically active proteome comparisons reveal HG ontogeny and age-specific task activity
2.5.6.Enzymes activity level verification
2.6. Discussion
2.6.1.The higher acceptance and better supply of grafted larvae in queen cells is of central importance for extreme reproductive investments by RJBs
2.6.2. RJB sreshape the functional states of HG proteins in their native proteome to optimize the improved performance of RJ secretion
2.6.3.The biologically active proteomes of HG in NBs and FBs showed different proteome programs that consolidated age-specific biological missions
2.7. Conclusion
2.8.Data Availability
Chapter 3.Activity-based proteome analysis reveals differences in brain-active proteome settings between low and high royal jelly producing strains of honeybees (Apis mellifera lingustica)
3.1. Summary
3.2. Introduction
3.3. Objective
3.4.Materials and Methods
3.4.1. Experimental design and statistical rationale
3.4.2. Royal jelly production measurements
3.4.3. Protein extraction
3.4.4. Labeling of protein samples with serine hydrolase FP probe
3.4.5. Molecular characterization of serine hydrolase FP probe-reactive proteins using LC-MS/MS Analysis
3.4.6. Identification and abundance level quantification of proteins
3.4.7. GO term enrichment analysis
3.5. Result
3.5.1. Royal jelly production
3.5.2. Reproducibility and quantification of proteomics data
3.5.3. Comparison of biologically active brain proteome between ITBs and RJBs
3.5.4. Biologically active proteome comparisons reveal brain ontogeny and age-specific task activity
3.6. Discussion
3.6.1. RJB sreshape the functional states of brain proteins in their native proteome to optimize the improved performance of RJ secretion
3.6.2. The dynamics of brain proteomic activity changes with the physiology-related age polytheism
3.7. Conclusion
Chapter4. Generalconclusion
参考文献
Appendex
致谢
Author Resume
中国农业科学院;
