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Stomatal Limitation Is Able to Modulate Leaf Coloration Onset of Temperate Deciduous Tree. FORESTS 2022. [DOI: 10.3390/f13071099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Autumn phenology, determined mainly by temperature and photoperiod, is essential for ecosystem carbon sequestration. Usually, the variations in the maximum rate of Rubisco (Vcmax) and the maximum rate of ribulose-bisphosphate regeneration (Jmax) are taken as the mechanism regulating the seasonal pattern of photosynthetic rates and autumn phenology. In this study, we used Quercus mongolicus seedlings as an example to examine the photosynthetically physiological mechanism of leaf coloration onset (LCO) responding to different warming and photoperiod treatments based on experimental data acquired from large artificial climate simulation chambers. The results indicated that: (1) LCO and the net CO2 assimilation rate (Pn), transpiration rate (Tr), stomatal conductance (Gs), Vcmax, and Jmax of Quercus mongolicus seedlings were significantly affected by the changes of photoperiod. (2) LCO was significantly correlated only with the Pn approach, supporting the view that leaf senescence is the result of a trade-off between nutrient resorption and reserves. (3) The major variation in stomatal conductance (Gs) is the mechanism by which photoperiod regulates the seasonal pattern of photosynthetic rates, implying that both limitations of stomatal and photosynthetical capacity (Vcmax and Jmax, non-stomatal limitation) are able to modulate LCO. Our study riches the knowledge of phenology and provides a reference for phenological modelling and ecosystem carbon estimation.
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Ai W, Liu Y, Mei M, Zhang X, Tan E, Liu H, Han X, Zhan H, Lu X. A chromosome-scale genome assembly of the Mongolian oak (Quercus mongolica). Mol Ecol Resour 2022; 22:2396-2410. [PMID: 35377556 DOI: 10.1111/1755-0998.13616] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 03/13/2022] [Accepted: 03/29/2022] [Indexed: 11/26/2022]
Abstract
Mongolian oak (Quercus mongolica Fisch.) is an ecologically and economically important white oak species native to and widespread in the temperate zone of East Asia. Here, we present a chromosome-scale reference genome assembly of Q. mongolica, a representative white oak species, by combining Illumina and PacBio data with Hi-C mapping technologies that is the first reference genome created for an Asian oak. Our results showed that the PacBio draft genome size was 809.84 Mb, with a BUSCO complete gene percentage of 92.71%. Hi-C scaffolding anchored 774.59 Mb contigs (95.65% of draft assembly) onto 12 pseudochromosomes. The contig N50 and scaffold N50 were 2.64 Mb and 66.74 Mb, respectively. Of the 36,553 protein-coding genes predicted in the study, approximately 95% had functional annotations in public databases. A total of 435.34 Mb (53.75% of the genome) of repetitive sequences were predicted in the assembled genome. Genome evolution analysis showed that Q. mongolica is closely related to Q. robur from Europe, and they shared a common ancestor ~11.8 million years ago. Gene family evolution analysis of Q. mongolica revealed that the nucleotide-binding site (NBS)-encoding gene family related to disease resistance was significantly contracted, whereas the ECERIFERUM 1 (CER1) homologous genes related to cuticular wax biosynthesis was significantly expanded. This pioneering Asian oak genome resource represents an important supplement to the oak genomics community and will improve our understanding of Asian white oak biology and evolution.
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Affiliation(s)
- Wanfeng Ai
- College of Horticulture, Shenyang Agricultural University, Shenyang, 110866, Liaoning, China
| | - Yanqun Liu
- College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, 110866, Liaoning, China
| | - Mei Mei
- College of Horticulture, Shenyang Agricultural University, Shenyang, 110866, Liaoning, China.,Biotechnology and Analysis Test Center, Liaoning Academy of Forest Science, Shenyang, 110032, Liaoning, China
| | - Xiaolin Zhang
- College of Forestry, Shenyang Agricultural University, Shenyang, 110866, Liaoning, China
| | - Enguang Tan
- College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang, 110866, Liaoning, China
| | - Hanzhang Liu
- College of Forestry, Shenyang Agricultural University, Shenyang, 110866, Liaoning, China
| | - Xiaoyi Han
- College of Forestry, Shenyang Agricultural University, Shenyang, 110866, Liaoning, China
| | - Hao Zhan
- College of Horticulture, Shenyang Agricultural University, Shenyang, 110866, Liaoning, China
| | - Xiujun Lu
- College of Horticulture, Shenyang Agricultural University, Shenyang, 110866, Liaoning, China.,College of Forestry, Shenyang Agricultural University, Shenyang, 110866, Liaoning, China
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