Genome-wide identification, evolutionary estimation and functional characterization of two cotton CKI gene types

Li, Yanlong; Li, Yaoyao; Chen, Yuanyuan; Wang, Maojun; Yang, Jing; Zhang, Xianlong; Zhu, Longfu; Kong, Jie; Ling, Min

doi:10.1186/s12870-021-02990-y

Cited by 3 publications

(1 citation statement)

References 63 publications

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“…CKI gene in tetraploid G. littoralis was significantly up-regulated. Previous study in cotton had found that CKI gene was underwent amplification with cotton tetraploid event and it was involved in the response to light signals [ 36 ]. In Arabidopsis , the Casein kinase 1 family regulates PRR5 and TOC1 in the circadian clock, impacting crucial plant processes like photosynthesis, cell elongation, stress responses, and flowering, with potential effects on biomass or yield [ 37 – 40 ].…”

Section: Discussionmentioning

confidence: 99%

In vitro induction of tetraploids and their phenotypic and transcriptome analysis in Glehnia littoralis

Zhang,

Zheng,

Wang

et al. 2024

BMC Plant Biol

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Background Glehnia littoralis is a medicinal and edible plant species having commercial value and has several hundred years of cultivation history. Polyploid breeding is one of the most important and fastest ways to generate novel varieties. To obtain tetraploids of G. littoralis in vitro, colchicine treatment was given to the seeds and then were screened based on morphology, flow cytometry, and root tip pressing assays. Furthermore, transcriptome analysis was performed to identity the differentially expressed genes associated with phenotypic changes in tetraploid G. littoralis. Results The results showed that 0.05% (w/v) colchicine treatment for 48 h was effective in inducing tetraploids in G. littoralis. The tetraploid G. littoralis (2n = 4x = 44) was superior in leaf area, leaf thickness, petiole diameter, SPAD value (Chl SPAD), stomatal size, epidermal tissues thickness, palisade tissues thickness, and spongy tissues thickness to the diploid ones, while the stomatal density of tetraploids was significantly lower. Transcriptome sequencing revealed, a total of 1336 differentially expressed genes (DEGs) between tetraploids and diploids. Chromosome doubling may lead to DNA content change and gene dosage effect, which directly affects changes in quantitative traits, with changes such as increased chlorophyll content, larger stomata and thicker tissue of leaves. Several up-regulated DEGs were found related to growth and development in tetraploid G. littoralis such as CKI, PPDK, hisD and MDP1. KEGG pathway enrichment analyses showed that most of DEGs were enriched in metabolic pathways. Conclusions This is the first report of the successful induction of tetraploids in G. littoralis. The information presented in this study facilitate breeding programs and molecular breeding of G. littoralis varieties.

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Section: Discussionmentioning

confidence: 99%

In vitro induction of tetraploids and their phenotypic and transcriptome analysis in Glehnia littoralis

Zhang,

Zheng,

Wang

et al. 2024

BMC Plant Biol

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Identification and expression analysis of arabinogalactan protein genes in cotton reveal the function of GhAGP15 in Verticillium dahliae resistance

Li¹,

Wu²,

Chen³

et al. 2022

Gene

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Unraveling the genetic and molecular basis of heat stress in cotton

Ijaz,

Anwar,

Ali

et al. 2024

Front. Genet.

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Human activities and climate change have resulted in frequent and intense weather fluctuations, leading to diverse abiotic stresses on crops which hampers greatly their metabolic activities. Heat stress, a prevalent abiotic factor, significantly influences cotton plant biological activities resulting in reducing yield and production. We must deepen our understanding of how plants respond to heat stress across various dimensions, encompassing genes, RNAs, proteins, metabolites for effective cotton breeding. Multi-omics methods, primarily genomics, transcriptomics, proteomics, metabolomics, and phenomics, proves instrumental in studying cotton’s responses to abiotic stresses. Integrating genomics, transcriptomics, proteomics, and metabolomic is imperative for our better understanding regarding genetics and molecular basis of heat tolerance in cotton. The current review explores fundamental omics techniques, covering genomics, transcriptomics, proteomics, and metabolomics, to highlight the progress made in cotton omics research.

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Genome-wide identification, evolutionary estimation and functional characterization of two cotton CKI gene types

Cited by 3 publications

References 63 publications

In vitro induction of tetraploids and their phenotypic and transcriptome analysis in Glehnia littoralis

In vitro induction of tetraploids and their phenotypic and transcriptome analysis in Glehnia littoralis

Identification and expression analysis of arabinogalactan protein genes in cotton reveal the function of GhAGP15 in Verticillium dahliae resistance

Unraveling the genetic and molecular basis of heat stress in cotton

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