Evidence map›Paper›PMID 27048574›Full record

ArticleMolecular genetics and genomics : MGG2016

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

Jun Qin, Jianan Zhang, Duan Liu, Changcheng Yin, Fengmin Wang, Pengyin Chen, Hao Chen, Jinbing Ma, Bo Zhang, Jin Xu and 1 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Molecular genetics and genomics : MGG, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.8field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 23 citations in OpenAlex.

  1. Nutritional values of soybean meal from different sources in multiparous sows.Animal nutrition (Zhongguo xu mu shou yi xue hui) · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 2 countries.

Jun QinNational Soybean Improvement Center Shijiazhuang Sub-Center, North China Key Laboratory of Biology and Genetic Improvement of Soybean Ministry of Agriculture, Cereal and Oil Crop Institute, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, 050031, People's Republic of China.
Jianan ZhangNational Foxtail Millet Improvement Center, Minor Cereal Crops Laboratory of Hebei Province Institute of Millet Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, 050035, People's Republic of China.
Duan LiuGeochemical Environmental Research Group, Texas A&M University, 833 Graham Road, College Station, TX, 77845, USA.
Changcheng YinBeijing Protein Innovation, B-8, Beijing Airport Industrial Zone, Beijing, 101318, People's Republic of China.
Fengmin WangNational Soybean Improvement Center Shijiazhuang Sub-Center, North China Key Laboratory of Biology and Genetic Improvement of Soybean Ministry of Agriculture, Cereal and Oil Crop Institute, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, 050031, People's Republic of China.
Pengyin ChenDepartment of Crop, Soil and Environmental Sciences, University of Arkansas, Fayetteville, AR, 72701, USA.
Hao ChenBeijing Protein Innovation, B-8, Beijing Airport Industrial Zone, Beijing, 101318, People's Republic of China.
Jinbing MaDepartment of Horticulture, University of Arkansas, Fayetteville, AR, 72701, USA.
Bo ZhangDepartment of Crop and Soil Environmental Sciences, Virginia Tech, Blacksburg, VA, 24061, USA.
Jin XuKey Laboratory of Tropical Plant Resource and Sustainable Use, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, Mengla, Yunnan, 666303, People's Republic of China. xujin@xtbg.ac.cn.
Mengchen ZhangNational Soybean Improvement Center Shijiazhuang Sub-Center, North China Key Laboratory of Biology and Genetic Improvement of Soybean Ministry of Agriculture, Cereal and Oil Crop Institute, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang, 050031, People's Republic of China. mengchenzhang@hotmail.com.
Hebei Academy of Agriculture and Forestry Sciences · CNUniversity of Arkansas at Fayetteville · USTexas A&M University · USVirginia Tech · USXishuangbanna Tropical Botanical Garden · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

PhotosynthesisChloroplastsGene Expression Regulation, DevelopmentalGene Expression Regulation, PlantGene Regulatory NetworksGlycine maxPlant LeavesPlant ProteinsProtein Interaction MapsProteomicsPlant ProteinsiTRAQPhotosynthesisProteomeSoybean

Identifiers

PMID27048574
OpenAlexW2321647508

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.