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Xu Y, Ran S, Li S, Lu J, Huang W, Zheng J, Hou M, Zhong F. Genome-Wide Identification and Abiotic Stress Expression Analysis of CKX and IPT Family Genes in Cucumber ( Cucumis sativus L.). PLANTS (BASEL, SWITZERLAND) 2024; 13:422. [PMID: 38337953 PMCID: PMC10856886 DOI: 10.3390/plants13030422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 01/21/2024] [Accepted: 01/26/2024] [Indexed: 02/12/2024]
Abstract
Cytokinins (CKs) are among the hormones that regulate plants' growth and development, and the CKX and IPT genes, which are CK degradation and biosynthesis genes, respectively, play important roles in fine-tuning plants' cytokinin levels. However, the current research on the function of IPT and CKX in cucumber's growth, development, and response to abiotic stress is not specific enough, and their regulatory mechanisms are still unclear. In this study, we focused on the IPT and CKX genes in cucumber, analyzed the physiological and biochemical properties of their encoded proteins, and explored their expression patterns in different tissue parts and under low light, salt stress, and drought stress. Eight CsCKX and eight CsIPT genes were identified from the cucumber genome. We constructed a phylogenetic tree from the amino acid sequences and performed prediction analyses of the cis-acting elements of the CsCKX and CsIPT promoters to determine whether CsCKXs and CsIPTs are responsive to light, abiotic stress, and different hormones. We also performed expression analysis of these genes in different tissues, and we found that CsCKXs and CsIPTs were highly expressed in roots and male flowers. Thus, they are involved in the whole growth and development process of the plant. This paper provides a reference for further research on the biological functions of CsIPT and CsCKX in regulating the growth and development of cucumber and its response to abiotic stress.
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Affiliation(s)
- Yang Xu
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (Y.X.); (S.R.); (J.L.)
| | - Shengxiang Ran
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (Y.X.); (S.R.); (J.L.)
| | - Shuhao Li
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (Y.X.); (S.R.); (J.L.)
| | - Junyang Lu
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (Y.X.); (S.R.); (J.L.)
| | | | - Jingyuan Zheng
- Vegetable Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410128, China;
| | - Maomao Hou
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (Y.X.); (S.R.); (J.L.)
| | - Fenglin Zhong
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China; (Y.X.); (S.R.); (J.L.)
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Tirumalai MR, Sivaraman RV, Kutty LA, Song EL, Fox GE. Ribosomal Protein Cluster Organization in Asgard Archaea. ARCHAEA (VANCOUVER, B.C.) 2023; 2023:5512414. [PMID: 38314098 PMCID: PMC10833476 DOI: 10.1155/2023/5512414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 08/31/2023] [Accepted: 09/08/2023] [Indexed: 02/06/2024]
Abstract
It has been proposed that the superphylum of Asgard Archaea may represent a historical link between the Archaea and Eukarya. Following the discovery of the Archaea, it was soon appreciated that archaeal ribosomes were more similar to those of Eukarya rather than Bacteria. Coupled with other eukaryotic-like features, it has been suggested that the Asgard Archaea may be directly linked to eukaryotes. However, the genomes of Bacteria and non-Asgard Archaea generally organize ribosome-related genes into clusters that likely function as operons. In contrast, eukaryotes typically do not employ an operon strategy. To gain further insight into conservation of the r-protein genes, the genome order of conserved ribosomal protein (r-protein) coding genes was identified in 17 Asgard genomes (thirteen complete genomes and four genomes with less than 20 contigs) and compared with those found previously in non-Asgard archaeal and bacterial genomes. A universal core of two clusters of 14 and 4 cooccurring r-proteins, respectively, was identified in both the Asgard and non-Asgard Archaea. The equivalent genes in the E. coli version of the cluster are found in the S10 and spc operons. The large cluster of 14 r-protein genes (uS19-uL22-uS3-uL29-uS17 from the S10 operon and uL14-uL24-uL5-uS14-uS8-uL6-uL18-uS5-uL30-uL15 from the spc operon) occurs as a complete set in the genomes of thirteen Asgard genomes (five Lokiarchaeotes, three Heimdallarchaeotes, one Odinarchaeote, and four Thorarchaeotes). Four less conserved clusters with partial bacterial equivalents were found in the Asgard. These were the L30e (str operon in Bacteria) cluster, the L18e (alpha operon in Bacteria) cluster, the S24e-S27ae-rpoE1 cluster, and the L31e, L12..L1 cluster. Finally, a new cluster referred to as L7ae was identified. In many cases, r-protein gene clusters/operons are less conserved in their organization in the Asgard group than in other Archaea. If this is generally true for nonribosomal gene clusters, the results may have implications for the history of genome organization. In particular, there may have been an early transition to or from the operon approach to genome organization. Other nonribosomal cellular features may support different relationships. For this reason, it may be important to consider ribosome features separately.
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Affiliation(s)
- Madhan R. Tirumalai
- Department of Biology and Biochemistry, University of Houston, Houston, TX 77204-5001, USA
| | | | | | | | - George E. Fox
- Department of Biology and Biochemistry, University of Houston, Houston, TX 77204-5001, USA
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Abstract
Mechanisms of emergence and divergence of protein folds pose central questions in biological sciences. Incremental mutation and stepwise adaptation explain relationships between topologically similar protein folds. However, the universe of folds is diverse and riotous, suggesting more potent and creative forces are at play. Sequence and structure similarity are observed between distinct folds, indicating that proteins with distinct folds may share common ancestry. We found evidence of common ancestry between three distinct β-barrel folds: Scr kinase family homology (SH3), oligonucleotide/oligosaccharide-binding (OB), and cradle loop barrel (CLB). The data suggest a mechanism of fold evolution that interconverts SH3, OB, and CLB. This mechanism, which we call creative destruction, can be generalized to explain many examples of fold evolution including circular permutation. In creative destruction, an open reading frame duplicates or otherwise merges with another to produce a fused polypeptide. A merger forces two ancestral domains into a new sequence and spatial context. The fused polypeptide can explore folding landscapes that are inaccessible to either of the independent ancestral domains. However, the folding landscapes of the fused polypeptide are not fully independent of those of the ancestral domains. Creative destruction is thus partially conservative; a daughter fold inherits some motifs from ancestral folds. After merger and refolding, adaptive processes such as mutation and loss of extraneous segments optimize the new daughter fold. This model has application in disease states characterized by genetic instability. Fused proteins observed in cancer cells are likely to experience remodeled folding landscapes and realize altered folds, conferring new or altered functions.
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Li C, Wang T, Gu J, Qi S, Li J, Chen L, Wu H, Shi L, Song C, Li H, Zhu L, Lu Y, Zhou Q. SMARCC2 mediates the regulation of DKK1 by the transcription factor EGR1 through chromatin remodeling to reduce the proliferative capacity of glioblastoma. Cell Death Dis 2022; 13:990. [PMID: 36418306 PMCID: PMC9684443 DOI: 10.1038/s41419-022-05439-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 10/25/2022] [Accepted: 11/14/2022] [Indexed: 11/25/2022]
Abstract
Switch/sucrose-nonfermenting (SWI/SNF) complexes play a key role in chromatin remodeling. Recent studies have found that SMARCC2, as the core subunit of the fundamental module of the complex, plays a key role in its early assembly. In this study, we found a unique function of SMARCC2 in inhibiting the progression of glioblastoma by targeting the DKK1 signaling axis. Low expression of SMARCC2 is found in malignant glioblastoma (GBM) compared with low-grade gliomas. SMARCC2 knockout promoted the proliferation of glioblastoma cells, while its overexpression showed the opposite effect. Mechanistically, SMARCC2 negatively regulates transcription by dynamically regulating the chromatin structure and closing the promoter region of the target gene DKK1, which can be bound by the transcription factor EGR1. DKK1 knockdown significantly reduced the proliferation of glioblastoma cell lines by inhibiting the PI3K-AKT pathway. We also studied the functions of the SWIRM and SANT domains of SMARCC2 and found that the SWIRM domain plays a more important role in the complete chromatin remodeling function of SMARCC2. In addition, in vivo studies confirmed that overexpression of SMARCC2 could significantly inhibit the size of intracranial gliomas in situ in nude mice. Overall, this study shows that SMARCC2, as a tumor suppressor, inhibits the proliferation of glioblastoma by targeting the transcription of the oncogene DKK1 through chromatin remodeling, indicating that SMARCC2 is a potentially attractive therapeutic target in glioblastoma.
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Affiliation(s)
- Chiyang Li
- grid.284723.80000 0000 8877 7471Department of Neurosurgery, Southern Medical University, Guangzhou, China
| | - Tong Wang
- grid.284723.80000 0000 8877 7471Department of Neurosurgery, Southern Medical University, Guangzhou, China
| | - Junwei Gu
- grid.284723.80000 0000 8877 7471Department of Neurosurgery, Southern Medical University, Guangzhou, China
| | - Songtao Qi
- grid.284723.80000 0000 8877 7471Department of Neurosurgery, Southern Medical University, Guangzhou, China ,grid.284723.80000 0000 8877 7471Nanfang Neurology Research Institution, Nanfang Hospital, Southern Medical University, Guangzhou, China ,Nanfang Glioma Center, Guangzhou, China
| | - Junjie Li
- grid.284723.80000 0000 8877 7471Department of Neurosurgery, Southern Medical University, Guangzhou, China
| | - Lei Chen
- grid.284723.80000 0000 8877 7471Department of Neurosurgery, Southern Medical University, Guangzhou, China
| | - Hang Wu
- grid.284723.80000 0000 8877 7471Department of Hematology, Nanfang Hospital, Southern Medical University, 510000 Guangzhou, Guangdong P.R. China
| | - Linyong Shi
- grid.284723.80000 0000 8877 7471Department of Neurosurgery, Southern Medical University, Guangzhou, China
| | - Chong Song
- grid.284723.80000 0000 8877 7471Department of Neurosurgery, Southern Medical University, Guangzhou, China
| | - Hong Li
- grid.284723.80000 0000 8877 7471Department of Neurosurgery, Southern Medical University, Guangzhou, China
| | - Liwen Zhu
- grid.284723.80000 0000 8877 7471Department of Neurosurgery, Southern Medical University, Guangzhou, China
| | - Yuntao Lu
- grid.284723.80000 0000 8877 7471Department of Neurosurgery, Southern Medical University, Guangzhou, China ,grid.284723.80000 0000 8877 7471Nanfang Neurology Research Institution, Nanfang Hospital, Southern Medical University, Guangzhou, China ,Nanfang Glioma Center, Guangzhou, China
| | - Qiang Zhou
- grid.284723.80000 0000 8877 7471Department of Neurosurgery, Southern Medical University, Guangzhou, China ,grid.284723.80000 0000 8877 7471Nanfang Neurology Research Institution, Nanfang Hospital, Southern Medical University, Guangzhou, China ,Nanfang Glioma Center, Guangzhou, China
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Kushner A, Petrov AS, Dao Duc K. RiboXYZ: a comprehensive database for visualizing and analyzing ribosome structures. Nucleic Acids Res 2022; 51:D509-D516. [PMID: 36305870 PMCID: PMC9825457 DOI: 10.1093/nar/gkac939] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 09/19/2022] [Accepted: 10/12/2022] [Indexed: 01/29/2023] Open
Abstract
Recent advances in Cryo-EM led to a surge of ribosome structures deposited over the past years, including structures from different species, conformational states, or bound with different ligands. Yet, multiple conflicts of nomenclature make the identification and comparison of structures and ortholog components challenging. We present RiboXYZ (available at https://ribosome.xyz), a database that provides organized access to ribosome structures, with several tools for visualisation and study. The database is up-to-date with the Protein Data Bank (PDB) but provides a standardized nomenclature that allows for searching and comparing ribosomal components (proteins, RNA, ligands) across all the available structures. In addition to structured and simplified access to the data, the application has several specialized visualization tools, including the identification and prediction of ligand binding sites, and 3D superimposition of ribosomal components. Overall, RiboXYZ provides a useful toolkit that complements the PDB database, by implementing the current conventions and providing a set of auxiliary tools that have been developed explicitly for analyzing ribosome structures. This toolkit can be easily accessed by both experts and non-experts in structural biology so that they can search, visualize and compare structures, with various potential applications in molecular biology, evolution, and biochemistry.
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Affiliation(s)
- Artem Kushner
- Department of Mathematics, University of British Columbia, Vancouver, BC V6T 1Z2, Canada,Department of Computer Science, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
| | - Anton S Petrov
- NASA Center for the Origin of Life, Georgia Institute of Technology, Atlanta, GA 30332-0400, USA,School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA,School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Khanh Dao Duc
- To whom correspondence should be addressed. Tel: +1 604 822 0683;
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TwinCons: Conservation score for uncovering deep sequence similarity and divergence. PLoS Comput Biol 2021; 17:e1009541. [PMID: 34714829 PMCID: PMC8580257 DOI: 10.1371/journal.pcbi.1009541] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 11/10/2021] [Accepted: 10/06/2021] [Indexed: 11/19/2022] Open
Abstract
We have developed the program TwinCons, to detect noisy signals of deep ancestry of proteins or nucleic acids. As input, the program uses a composite alignment containing pre-defined groups, and mathematically determines a 'cost' of transforming one group to the other at each position of the alignment. The output distinguishes conserved, variable and signature positions. A signature is conserved within groups but differs between groups. The method automatically detects continuous characteristic stretches (segments) within alignments. TwinCons provides a convenient representation of conserved, variable and signature positions as a single score, enabling the structural mapping and visualization of these characteristics. Structure is more conserved than sequence. TwinCons highlights alternative sequences of conserved structures. Using TwinCons, we detected highly similar segments between proteins from the translation and transcription systems. TwinCons detects conserved residues within regions of high functional importance for the ribosomal RNA (rRNA) and demonstrates that signatures are not confined to specific regions but are distributed across the rRNA structure. The ability to evaluate both nucleic acid and protein alignments allows TwinCons to be used in combined sequence and structural analysis of signatures and conservation in rRNA and in ribosomal proteins (rProteins). TwinCons detects a strong sequence conservation signal between bacterial and archaeal rProteins related by circular permutation. This conserved sequence is structurally colocalized with conserved rRNA, indicated by TwinCons scores of rRNA alignments of bacterial and archaeal groups. This combined analysis revealed deep co-evolution of rRNA and rProtein buried within the deepest branching points in the tree of life.
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Alvarez-Carreño C, Penev PI, Petrov AS, Williams LD. Fold Evolution before LUCA: Common Ancestry of SH3 Domains and OB Domains. Mol Biol Evol 2021; 38:5134-5143. [PMID: 34383917 PMCID: PMC8557408 DOI: 10.1093/molbev/msab240] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
SH3 and OB are the simplest, oldest, and most common protein domains within the translation system. SH3 and OB domains are β-barrels that are structurally similar but are topologically distinct. To transform an OB domain to a SH3 domain, β-strands must be permuted in a multistep and evolutionarily implausible mechanism. Here, we explored relationships between SH3 and OB domains of ribosomal proteins, initiation, and elongation factors using a combined sequence- and structure-based approach. We detect a common core of SH3 and OB domains, as a region of significant structure and sequence similarity. The common core contains four β-strands and a loop, but omits the fifth β-strand, which is variable and is absent from some OB and SH3 domain proteins. The structure of the common core immediately suggests a simple permutation mechanism for interconversion between SH3 and OB domains, which appear to share an ancestor. The OB domain was formed by duplication and adaptation of the SH3 domain core, or vice versa, in a simple and probable transformation. By employing the folding algorithm AlphaFold2, we demonstrated that an ancestral reconstruction of a permuted SH3 sequence folds into an OB structure, and an ancestral reconstruction of a permuted OB sequence folds into a SH3 structure. The tandem SH3 and OB domains in the universal ribosomal protein uL2 share a common ancestor, suggesting that the divergence of these two domains occurred before the last universal common ancestor.
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Affiliation(s)
- Claudia Alvarez-Carreño
- NASA Center for the Origin of Life, Georgia Institute of Technology, Atlanta, GA, USA
- School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA, USA
| | - Petar I Penev
- NASA Center for the Origin of Life, Georgia Institute of Technology, Atlanta, GA, USA
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA
| | - Anton S Petrov
- NASA Center for the Origin of Life, Georgia Institute of Technology, Atlanta, GA, USA
- School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA, USA
| | - Loren Dean Williams
- NASA Center for the Origin of Life, Georgia Institute of Technology, Atlanta, GA, USA
- School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA, USA
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