Differential proteomic analysis revealing the ovule abortion in the female-sterile line of Pinus tabulaeformis Carr.

Zhang, Min; Song, X.; Lv, Kun; Yao, Yang; Gong, Zaixin; Zheng, Caixia

doi:10.1016/j.plantsci.2017.03.001

Cited by 10 publications

(4 citation statements)

References 89 publications

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“…Proteome Discoverer 1.4 software was used for the quantitative analysis of the peak intensity values of the ions of peptide fragments. To designate significant changes in protein expression, a fold-change of > 1.2 or < 0.83 and a P -value of < 0.05 using Student’s t-test were set as cut-off values [ 20 , 21 ].…”

Section: Methodsmentioning

confidence: 99%

Proteomics integrated with metabolomics: analysis of the internal causes of nutrient changes in alfalfa at different growth stages

Fan

Liu

et al. 2018

BMC Plant Biol

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BackgroundAlfalfa (Medicago sativa L.) is one of the most important forage resources in the world due to its high nutritive value. However, its nutritional quality decreases during the transition from budding to flowering. Previous research revealed a decreased crude protein content and increased fibre content in alfalfa forage harvested at later maturity stages, leading to a reduction in nutritional quality. However, the reasons for this phenomenon have not been explained at the molecular level.ResultsIn this study, leaves from the WL319HQ alfalfa cultivar were harvested at two developmental stages (budding and mid-flowering). The leaves were used to test the variable expression of proteins and metabolites during these stages. TMT-based quantitative proteomics and LC-MS/MS-based untargeted metabolomics methods were employed in this study. A total of 415 proteins and 49 metabolites showed at least a 1.2-fold difference in abundance during these stages. Most of the differentially expressed proteins and metabolites were involved in metabolic processes, including carbohydrate metabolism, starch and sucrose metabolism, phenylpropanoid biosynthesis, and biosynthesis of amino acids. Alfalfa leaves in mid-flowering contain less crude protein due to the decrease in L-glutamic acid content. Carbohydrate metabolism provides the raw material for the synthesis of hemicellulose, resulting in an increase in the hemicellulose content of the alfalfa leaves, leading to an increase in the NDF content. In addition, the increase in L-phenylalanine content could have provided the conditions necessary for lignin synthesis. These are the main factors leading to reductions in alfalfa relative feed value (RFV) and quality.ConclusionsThis study used joint proteomic and metabolomic analyses to elucidate the relationship between the reduction in the nutritional value of alfalfa and complex biological processes. This provides a theoretical basis for producing high-quality alfalfa hay and sets the stage for further research.Electronic supplementary materialThe online version of this article (10.1186/s12870-018-1291-8) contains supplementary material, which is available to authorized users.

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Section: Methodsmentioning

confidence: 99%

Proteomics integrated with metabolomics: analysis of the internal causes of nutrient changes in alfalfa at different growth stages

Fan

Liu

et al. 2018

BMC Plant Biol

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“…5a-c). Many previous studies have also suggested that genes and enzymes related to phosphatidylinositol have regulatory effects on male sterility [28,29]. The KEGG classifications at three levels also showed that pathways related to "biosynthesis of other secondary metabolites", "carbohydrate metabolism" and "energy metabolism" were associated with many of the DEGs, such as "phenylpropanoid biosynthesis", "starch and sucrose metabolism", "glycolysis/gluconeogenesis", and "oxidative phosphorylation" (Fig.…”

Section: Functional Classification and Enrichment Analysis Of Core Degsmentioning

confidence: 73%

Comparative transcriptome analysis indicates that a core transcriptional network mediates isonuclear alloplasmic male sterility in wheat (Triticum aestivum L.)

Liu

et al. 2020

BMC Plant Biol

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Background: Cytoplasmic male sterility (CMS) plays a crucial role in the utilization of heterosis and various types of CMS often have different abortion mechanisms. Therefore, it is important to understand the molecular mechanisms related to anther abortion in wheat, which remain unclear at present. Results: In this study, five isonuclear alloplasmic male sterile lines (IAMSLs) and their maintainer were investigated. Cytological analysis indicated that the abortion type was identical in IAMSLs, typical and stainable abortion, and the key abortive period was in the binucleate stage. Most of the 1,281 core shared differentially expressed genes identified by transcriptome sequencing compared with the maintainer in the vital abortive stage were involved in the metabolism of sugars, oxidative phosphorylation, phenylpropane biosynthesis, and phosphatidylinositol signaling, and they were downregulated in the IAMSLs. Key candidate genes encoding chalcone-flavonone isomerase, pectinesterase, and UDP-glucose pyrophosphorylase were screened and identified. Moreover, further verification elucidated that due to the impact of downregulated genes in these pathways, the male sterile anthers were deficient in sugar and energy, with excessive accumulations of ROS, blocked sporopollenin synthesis, and abnormal tapetum degradation. Conclusions: Through comparative transcriptome analysis, an intriguing core transcriptome-mediated male-sterility network was proposed and constructed for wheat and inferred that the downregulation of genes in important pathways may ultimately stunt the formation of the pollen outer wall in IAMSLs. These findings provide insights for predicting the functions of the candidate genes, and the comprehensive analysis of our results was helpful for studying the abortive interaction mechanism in CMS wheat.

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“…The average temperature in March 2018 was 6.39 °C, and the average temperature in October 2018 was 16.58 °C. As a primary tree species for afforestation on barren hills, Pinus tabulaeformis forests are predominantly artificial pure forests [32,33]. D. tabulaeformis infestation broke out in 2018, with one generation occurring each year in the study area.…”

Section: Study Areamentioning

confidence: 98%

EWMACD Algorithm in Early Detection of Defoliation Caused by Dendrolimus tabulaeformis Tsai et Liu

Zhao,

Cui,

Liu

et al. 2024

Remote Sensing

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The persistent increase in forest pest outbreaks requires timely detection methods to monitor the disaster precisely. However, early detection is challenging due to insufficient temporal observation and subtle tree changes. This article proposed a novel framework that collaborates multi-source remote sensing data and uses a change detection algorithm to archive early detection of infestation caused by Dendrolimus tabulaeformis Tsai et Liu (D. tabulaeformis) attacks. First, all available Sentinel-2 images with less than 20% cloud cover were utilized. During periods with long intervals (>16 days) between Sentinel-2 images, Landsat-8 images with less than 20% cloud cover were downscaled to a spatial resolution of 10 m using a deep learning algorithm to meet the requirement for a high temporal frequency of clear observations. Second, the spectral index differences between healthy and infested trees were examined to address the challenge of detecting subtle changes in pest attacks. The Enhanced Vegetation Index (EVI) was selected for early defoliation detection. On this basis, the EWMACD (Exponentially Weighted Moving Average Change Detection) algorithm, which is sensitive to subtle changes, was enhanced to improve the capability of detecting early D. tabulaeformis attacks. The assessment showed that the overall accuracy of the change detection (F1 score) reached 0.86 during the early stage and 0.88 during the late stage. The temporal accuracy (Precision) was 84.1% during the early stage. The accuracy significantly improved compared to using a single remote sensing data source. This study presents a new framework capable of monitoring early forest defoliation caused by D. tabulaeformis attacks and offering opportunities for predicting future outbreaks and implementing preventive measures.

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Differential proteomic analysis revealing the ovule abortion in the female-sterile line of Pinus tabulaeformis Carr.

Cited by 10 publications

References 89 publications

Proteomics integrated with metabolomics: analysis of the internal causes of nutrient changes in alfalfa at different growth stages

Proteomics integrated with metabolomics: analysis of the internal causes of nutrient changes in alfalfa at different growth stages

Comparative transcriptome analysis indicates that a core transcriptional network mediates isonuclear alloplasmic male sterility in wheat (Triticum aestivum L.)

EWMACD Algorithm in Early Detection of Defoliation Caused by Dendrolimus tabulaeformis Tsai et Liu

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