Evidence map›Paper›PMID 29151823›Full record

ArticleCurrent proteomics2017

Proteomic Changes Between

Yi Wang, Yun Li, Yujing Suo, Yu Min, Xiangyang Kang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Current proteomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Yi WangNational Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing100083, China.
Yun LiNational Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing100083, China.
Yujing SuoNational Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing100083, China.
Yu MinNational Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing100083, China.
Xiangyang KangNational Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing100083, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPolyploid breeding is a powerful approach for Populus genetic improve-ment because polyploid trees have valuable characteristics, including better timber quality and a higher degree of stress resistance compared with their full-sib diploids. However, the genetic mech-anism underlying this phenomenon remains unknown.

objectiveTo better understand the proteomic changes between Populus allotriploids and diploids, we examined the proteomic profiles of allotriploid and diploid Populus by iTRAQ labeling coupled with two-dimensional liquid chromatography and MALDI-TOF/TOF mass spectrometry (MS).

methodiTRAQ labeling coupled with two-dimensional liquid chromatography and MALDI-TOF/TOF mass spectrometry (MS).

resultsBetween the Populus allotriploid and the full-sib diploid, 932 differentially expressed proteins (DEPs) were identified. These DEPs were primarily involved in stress, defense, transportation, transcriptional and/or translational modification, and energy production. The pathway analysis indi-cated that most of the DEPs were implicated in carbohydrate transport and metabolism, nitrogen me-tabolism and glycolysis, and the ribosome assembly pathway. These data suggest high protein di-vergence between Populus allotriploids and diploids, and rapid changes during hybridization.

conclusionThe results provide new data for further understanding of the mechanisms of polyploid trees that generally display increased height growth compared with their full-sib diploids.

Indexed as

allotriploiddiploidsiTRAQpolyploidPopulusproteome

Identifiers

PMID29151823
PMCPMC5676023

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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.