Wood Formation under Changing Environment: Omics Approaches to Elucidate the Mechanisms Driving the Early-to-Latewood Transition in Conifers

Traversari, Silvia; Giovannelli, Alessio; Emiliani, Giovanni

doi:10.3390/f13040608

Cited by 10 publications

(11 citation statements)

References 136 publications

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“…A comprehensive plant proteome profiling provides valuable insights into the molecular mechanisms underlying plant growth, development, and stress response [139]. For example, the tandem mass tag-based proteome sequencing of Masson pine (Pinus massoniana) with different resin yields revealed several differentially expressed proteins related to resinosis [143]. In addition, the Picea asperata somatic embryo proteome profiling using iTRAQ and comparative proteomics analysis under partial desiccation treatment provided novel insights into stress-related proteins and metabolic pathways in P. asperata [144].…”

Section: Proteomicsmentioning

confidence: 99%

Multi-Omics Techniques for Forest Plant Breeding

Wang¹,

Li²,

Zhao³

2023

Preprint

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In recent years, the ecological and economic values of forest plants have been gradually recognized worldwide. However, the growing global demand for new forest plant varieties with higher wood production capacity and better stress tolerance cannot be satisfied by conventional phenotype-based breeding, marker-assisted selection, and genomic selection. In the recent past, diverse omics technologies, including genomics, transcriptomics, epigenomics, proteomics, and metabolomics, have been developed rapidly, providing powerful tools for the precision genetic breeding of forest plants. Genomics lays a solid foundation for understanding complex biological regulatory networks, while other omics technologies provide different perspectives at different levels. Multi-omics integration has combined the different omics technologies, becoming a powerful tool for genome-wide functional element identification in forest plant breeding. This review summarizes the recent progress of omics technologies and their applications in the genetic studies of forest plants. It will provide forest plant breeders with an elementary knowledge of multi-omics techniques for future breeding programs.

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Section: Proteomicsmentioning

confidence: 99%

Multi-Omics Techniques for Forest Plant Breeding

Wang¹,

Li²,

Zhao³

2023

Preprint

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“…Plant harmones; Auxin (Indole Acetic Acid) regulate the cell enlargement rate while Cytokinin control the cell division. Besides, carbon metabolism and sugar metabolizing enzymes are also involved in earlywood and latewood transition in conifers (Traversari et al 2022). As natural archives, tree rings provide proxy data for paleo-environmental studies, to analyze ecological issues and reconstructions of past climate (Choi et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Climatically induced anomalies in tree-ring structure of Abies pindrow (Royal ex D. Don) and Taxus baccata (L.) growing in Hindu-Kush mountainous region of Pakistan

Tayyab

Muhammad

Nawaz

et al. 2023

Environ. Res. Commun.

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Dendroclimatic potential from Abies pindrow Royal ex D. Don. (fir) and Taxus baccata L. (yew) was investigated by developing four different types of tree-ring width chronologies (by ARSTAN program) in a mixed broadleaf forest of Kalam, KP, Pakistan. Firstly, measured tree-ring width series were cross-dated and identified the best and least (cross-matched with master plot) samples with the most applied Skeleton Plot Model (SPM) method alongside checking the quality through statistical program (COFECHA). Tree-ring attributes (age, growth rate and earlywood and latewood) were also measured with maximum age (677 years) was observed in fir plant and maximum growth rate (6.096 mm/year) in yew plant with clear demarcations of earlywood and latewood formation. Yew trees were observed to be more sensitive species towards climatic variations (expressed population signal = 0.856, mean sensitivity = 0.321 and signal to noise ratio = 3.214) while fir trees were comparatively less affected by climatic alterations of the study site (expressed population signal = 0.852, mean sensitivity = 0.314 and signal to noise ratio = 2.453). Correlation between tree-ring series of T. baccata with the master series was found to be more significant as compared to A. pindrow after developing series plots of both the species by using package dplR in R. Potential ecological and anatomical explanations for these results were also discussed. Sensitivity of samples showed good climatic signals which are valuable for dendroclimatic growth response investigations leading to reconstruction of past climate as well as possible future climate predictions.

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“…The research of Yao, J et al use an adaptive filtering algorithm to improve the accuracy of tree ring identification [42]. The research of Hu, X et al uses the FIR filtering algorithm and IIR filtering algorithm to process the output signals and evaluate the filtering results [43]. However, the filtering algorithms can only reduce the influence of noise interference but cannot eliminate it.…”

Section: Introductionmentioning

confidence: 99%

Research on Tree Ring Micro-Destructive Detection Technology Based on Digital Micro-Drilling Resistance Method

Zheng²,

Xing³

et al. 2022

Forests

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Micro-drilling resistance method is a widely used tree ring micro-destructive detection technology. To solve the problem that the detection signal of the analog micro-drilling resistance method has excessive noise interference and cannot intuitively identify tree ring information, this research proposes a digital micro-drilling resistance method and provides a recommended hardware implementation. The digital micro-drilling resistance method adopts the photoelectric encoder instead of ADC as the signal sampling module. Through the theoretical analysis of the DC motor characteristic, the PWM closed-loop speed control, the detection principle of the digital method is given. Additionally, the experimental equipment that can complete the detection of the digital method and the analog method simultaneously is designed to carry out comparative experiments. The experimental results show that: (1) The detection results of the digital method have a better-quality signal which can intuitively identify the tree rings. (2) The average correlation coefficient reaches 0.9365 between the detection results of the digital method and the analog method. (3) The average Signal-to-Noise Ratio (SNR) of the digital method is 39.0145 dB, which is 19.2590 dB higher than that of the analog method. The average noise interference energy in the detection result of the digital method is only 1.27% of the analog method. In summary, hardware implementation of the digital micro-drilling resistance method can correctly reflect the tree ring information and significantly improve the signal quality of the micro-drilling resistance technology. This research is helping to improve the identification accuracy of micro-drilling resistance technology, and to develop the application of tree ring micro-destructive detection technology in the high-precision field.

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Wood Formation under Changing Environment: Omics Approaches to Elucidate the Mechanisms Driving the Early-to-Latewood Transition in Conifers

Cited by 10 publications

References 136 publications

Multi-Omics Techniques for Forest Plant Breeding

Multi-Omics Techniques for Forest Plant Breeding

Climatically induced anomalies in tree-ring structure of Abies pindrow (Royal ex D. Don) and Taxus baccata (L.) growing in Hindu-Kush mountainous region of Pakistan

Research on Tree Ring Micro-Destructive Detection Technology Based on Digital Micro-Drilling Resistance Method

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