iTRAQ-based analysis of developmental dynamics in the soybean leaf proteome reveals pathways associated with leaf photosynthetic rate

Abstract

Photosynthetic rate which acts as a vital limiting factor largely affects the potential of soybean production, especially during the senescence phase. However, the physiological and molecular mechanisms that underlying the change of photosynthetic rate during the developmental process of soybean leaves remain unclear. In this study, we compared the protein dynamics during the developmental process of leaves between the soybean cultivar Hobbit and the high-photosynthetic rate cultivar JD 17 using the iTRAQ (isobaric tags for relative and absolute quantification) method. A total number of 1269 proteins were detected in the leaves of these two cultivars at three different developmental stages. These proteins were classified into nine expression patterns depending on the expression levels at different developmental stages, and the proteins in each pattern were also further classified into three large groups and 20 small groups depending on the protein functions. Only 3.05-6.53 % of the detected proteins presented a differential expression pattern between these two cultivars. Enrichment factor analysis indicated that proteins involved in photosynthesis composed an important category. The expressions of photosynthesis-related proteins were also further confirmed by western blotting. Together, our results suggested that the reduction in photosynthetic rate as well as chloroplast activity and composition during the developmental process was a highly regulated and complex process which involved a serial of proteins that function as potential candidates to be targeted by biotechnological approaches for the improvement of photosynthetic rate and production.

iTRAQ-based Proteomic Analysis of a Chlorophyll-Deficient Mutant Caused by Single Base Change in RPS4 of Chinese Cabbage (Brassica Campestris L. ssp. Pekinensis)

“…Proteomic analysis is widely used to reveal differential expression of proteins in plant growth and development under speci c conditions [18]. To date, iTRAQ has been applied to study chloroplast development associated with photosynthesis in many plant species, including tea [19], soybean [20], and cucumber [21]. However, proteomic analysis of chlorophyll-de cient mutants of Chinese cabbage has not yet been reported.…”

iTRAQ-based quantitative proteomic analysis of cotton (Gossypium hirsutum L.) leaves reveals pathways associated throughout the aging process

“…Proteomic methods for global expression analyses and protein identification in plants have become highly efficient in recent years (Qin et al 2016). Thus, iTRAQ technology and LC-MS/MS have been employed together widely, demonstrating their proven value in discovery-based proteomics.…”

“…In recent years, with the development of ultra-high-performance liquid chromatography (UPLC) and mass spectrometry, the advantages of the isobaric tags for relative and absolute quantitation (iTRAQ) approach have become quite obvious. This approach has become a vital research technology for studying the molecular mechanisms of plant leaf protein responses, and iTRAQ can be used in high-throughput comparative proteomics analyses conducted across different development stages (Qin et al 2016).…”

iTRAQ protein profile analysis of developmental dynamics in soybean [Glycine max (L.) Merr.] leaves

“…In our preliminary research, proteomic analysis of two soybean cultivars were performed using iTRAQ-base quantitative. Enrichment factor analysis indicated that proteins involved in photosynthesis comprised an important category[ 14 ].…”

“…In our previously study, we compared leaf proteome specifically the photosynthetic protein expression patterns, between Hobbit and JD17 at same developmental stage [ 14 ]. In this research, we compared the protein different expression profiles in three important growth periods of Zao 5241, like V2 (second Trifolicate), R1 (beginning flowering) and R3 (beginning pod).…”