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Li X, Li B, Gu S, Pang X, Mason P, Yuan J, Jia J, Sun J, Zhao C, Henry R. Single-cell and spatial RNA sequencing reveal the spatiotemporal trajectories of fruit senescence. Nat Commun 2024; 15:3108. [PMID: 38600080 PMCID: PMC11006883 DOI: 10.1038/s41467-024-47329-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Accepted: 03/26/2024] [Indexed: 04/12/2024] Open
Abstract
The senescence of fruit is a complex physiological process, with various cell types within the pericarp, making it highly challenging to elucidate their individual roles in fruit senescence. In this study, a single-cell expression atlas of the pericarp of pitaya (Hylocereus undatus) is constructed, revealing exocarp and mesocarp cells undergoing the most significant changes during the fruit senescence process. Pseudotime analysis establishes cellular differentiation and gene expression trajectories during senescence. Early-stage oxidative stress imbalance is followed by the activation of resistance in exocarp cells, subsequently senescence-associated proteins accumulate in the mesocarp cells at late-stage senescence. The central role of the early response factor HuCMB1 is unveiled in the senescence regulatory network. This study provides a spatiotemporal perspective for a deeper understanding of the dynamic senescence process in plants.
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Affiliation(s)
- Xin Li
- College of Food and Bioengineering, Henan University of Science and Technology, Luoyang, 471023, China
- Queensland Alliance for Agriculture & Food Innovation, Queensland Biosciences Precinct, The University of Queensland, St Lucia, QLD 4072, Australia
- National Demonstration Center for Experimental Food Processing and Safety Education, Luoyang, 471023, China
| | - Bairu Li
- College of Food and Bioengineering, Henan University of Science and Technology, Luoyang, 471023, China
| | - Shaobin Gu
- College of Food and Bioengineering, Henan University of Science and Technology, Luoyang, 471023, China
| | - Xinyue Pang
- College of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang, 471023, China
| | - Patrick Mason
- Queensland Alliance for Agriculture & Food Innovation, Queensland Biosciences Precinct, The University of Queensland, St Lucia, QLD 4072, Australia
| | - Jiangfeng Yuan
- College of Food and Bioengineering, Henan University of Science and Technology, Luoyang, 471023, China
| | - Jingyu Jia
- College of Food and Bioengineering, Henan University of Science and Technology, Luoyang, 471023, China
| | - Jiaju Sun
- College of Food and Bioengineering, Henan University of Science and Technology, Luoyang, 471023, China
| | - Chunyan Zhao
- Institute of Environment and Health, Jianghan University, Wuhan, 430056, China.
| | - Robert Henry
- Queensland Alliance for Agriculture & Food Innovation, Queensland Biosciences Precinct, The University of Queensland, St Lucia, QLD 4072, Australia.
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Wang J, Zhang B, Guo H, Chen L, Han F, Yan C, Yang L, Zhuang M, Lv H, Wang Y, Ji J, Zhang Y. Transcriptome Analysis Reveals Key Genes and Pathways Associated with the Regulation of Flowering Time in Cabbage ( Brassica oleracea L. var. capitata). PLANTS (BASEL, SWITZERLAND) 2023; 12:3413. [PMID: 37836153 PMCID: PMC10574337 DOI: 10.3390/plants12193413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 09/17/2023] [Accepted: 09/22/2023] [Indexed: 10/15/2023]
Abstract
Flowering time is an important agronomic trait in cabbage (Brassica oleracea L. var. capitata), but the molecular regulatory mechanism underlying flowering time regulation in cabbage remains unclear. In this study, transcriptome analysis was performed using two sets of cabbage materials: (1) the early-flowering inbred line C491 (P1) and late-flowering inbred line B602 (P2), (2) the early-flowering individuals F2-B and late-flowering individuals F2-NB from the F2 population. The analysis revealed 9508 differentially expressed genes (DEGs) common to both C491_VS_ B602 and F2-B_VS_F2-NB. The Kyoto Encyclopedia of Genes and Genomes (KEGGs) analysis showed that plant hormone signal transduction and the MAPK signaling pathway were mainly enriched in up-regulated genes, and ribosome and DNA replication were mainly enriched in down-regulated genes. We identified 321 homologues of Arabidopsis flowering time genes (Ft) in cabbage. Among them, 25 DEGs (11 up-regulated and 14 down-regulated genes) were detected in the two comparison groups, and 12 gene expression patterns closely corresponded with the different flowering times in the two sets of materials. Two genes encoding MADS-box proteins, Bo1g157450 (BoSEP2-1) and Bo5g152700 (BoSEP2-2), showed significantly reduced expression in the late-flowering parent B602 compared with the early-flowering parent C491 via qRT-PCR analysis, which was consistent with the RNA-seq data. Next, the expression levels of Bo1g157450 (BoSEP2-1) and Bo5g152700 (BoSEP2-2) were analyzed in two other groups of early-flowering and late-flowering inbred lines, which showed that their expression patterns were consistent with those in the parents. Sequence analysis revealed that three and one SNPs between B602 and C491 were identified in Bo1g157450 (BoSEP2-1) and Bo5g152700 (BoSEP2-2), respectively. Therefore, BoSEP2-1 and BoSEP2-2 were designated as candidates for flowering time regulation through a potential new regulatory pathway. These results provide new insights into the molecular mechanisms underlying flowering time regulation in cabbage.
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Affiliation(s)
- Jiao Wang
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (J.W.); (B.Z.); (H.G.); (L.C.); (F.H.); (L.Y.); (M.Z.); (H.L.); (J.J.); (Y.W.)
- College of Horticulture, Qingdao Agricultural University, Qingdao 266109, China;
| | - Bin Zhang
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (J.W.); (B.Z.); (H.G.); (L.C.); (F.H.); (L.Y.); (M.Z.); (H.L.); (J.J.); (Y.W.)
| | - Huiling Guo
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (J.W.); (B.Z.); (H.G.); (L.C.); (F.H.); (L.Y.); (M.Z.); (H.L.); (J.J.); (Y.W.)
| | - Li Chen
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (J.W.); (B.Z.); (H.G.); (L.C.); (F.H.); (L.Y.); (M.Z.); (H.L.); (J.J.); (Y.W.)
| | - Fengqing Han
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (J.W.); (B.Z.); (H.G.); (L.C.); (F.H.); (L.Y.); (M.Z.); (H.L.); (J.J.); (Y.W.)
| | - Chao Yan
- College of Horticulture, Qingdao Agricultural University, Qingdao 266109, China;
| | - Limei Yang
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (J.W.); (B.Z.); (H.G.); (L.C.); (F.H.); (L.Y.); (M.Z.); (H.L.); (J.J.); (Y.W.)
| | - Mu Zhuang
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (J.W.); (B.Z.); (H.G.); (L.C.); (F.H.); (L.Y.); (M.Z.); (H.L.); (J.J.); (Y.W.)
| | - Honghao Lv
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (J.W.); (B.Z.); (H.G.); (L.C.); (F.H.); (L.Y.); (M.Z.); (H.L.); (J.J.); (Y.W.)
| | - Yong Wang
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (J.W.); (B.Z.); (H.G.); (L.C.); (F.H.); (L.Y.); (M.Z.); (H.L.); (J.J.); (Y.W.)
| | - Jialei Ji
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (J.W.); (B.Z.); (H.G.); (L.C.); (F.H.); (L.Y.); (M.Z.); (H.L.); (J.J.); (Y.W.)
| | - Yangyong Zhang
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China; (J.W.); (B.Z.); (H.G.); (L.C.); (F.H.); (L.Y.); (M.Z.); (H.L.); (J.J.); (Y.W.)
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Zhang A, He H, Li Y, Wang L, Liu Y, Luan X, Wang J, Liu H, Liu S, Zhang J, Yao D. MADS-Box Subfamily Gene GmAP3 from Glycine max Regulates Early Flowering and Flower Development. Int J Mol Sci 2023; 24:ijms24032751. [PMID: 36769078 PMCID: PMC9917172 DOI: 10.3390/ijms24032751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Revised: 12/30/2022] [Accepted: 01/29/2023] [Indexed: 02/04/2023] Open
Abstract
AP3 has been studied and is reported to affect structural changes in floral organs in various plants. However, the function of the soybean AP3 genes in flower development is unknown. Here, the full-length cDNA sequence of GmAP3 was obtained by RACE and it was verified that it belongs to the MADS-box subfamily by a bioinformatics analysis. The expression of GmAP3 is closely related to the expression of essential enzyme genes related to flower development. Yeast two-hybrid assays demonstrated that GmAP3 interacts with AP1 to determine the identity of flower organ development. A follow-up analysis showed that overexpression of the GmAP3 gene advanced flowering time and resulted in changes in floral organ morphology. The average flowering time of overexpressed soybean and tobacco plants was 6-8 days earlier than that of wild-type plants, and the average flowering time of gene-edited soybean and tobacco plants was 6-11 days later than that of wild-type plants. In conclusion, GmAP3 may directly or indirectly affect the flower development of soybean. The results of this study lay the foundation for further research on the biological functions of MADS transcriptional factors in soybeans.
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Affiliation(s)
- Aijing Zhang
- College of Life Sciences, Jilin Agricultural University, Changchun 130118, China
- College of Agronomy, Jilin Agricultural University, Changchun 130118, China
| | - Haobo He
- College of Life Sciences, Jilin Agricultural University, Changchun 130118, China
| | - Yue Li
- College of Life Sciences, Jilin Agricultural University, Changchun 130118, China
| | - Lixue Wang
- College of Life Sciences, Jilin Agricultural University, Changchun 130118, China
| | - Yixuan Liu
- College of Life Sciences, Jilin Agricultural University, Changchun 130118, China
| | - Xinchao Luan
- College of Life Sciences, Jilin Agricultural University, Changchun 130118, China
| | - Jiaxin Wang
- College of Life Sciences, Jilin Agricultural University, Changchun 130118, China
| | - Huijing Liu
- College of Life Sciences, Jilin Agricultural University, Changchun 130118, China
| | - Shuying Liu
- College of Life Sciences, Jilin Agricultural University, Changchun 130118, China
| | - Jun Zhang
- College of Agronomy, Jilin Agricultural University, Changchun 130118, China
- Correspondence: (J.Z.); (D.Y.)
| | - Dan Yao
- College of Life Sciences, Jilin Agricultural University, Changchun 130118, China
- Correspondence: (J.Z.); (D.Y.)
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Arriagada O, Arévalo B, Cabeza RA, Carrasco B, Schwember AR. Meta-QTL Analysis for Yield Components in Common Bean ( Phaseolus vulgaris L.). PLANTS (BASEL, SWITZERLAND) 2022; 12:117. [PMID: 36616246 PMCID: PMC9824219 DOI: 10.3390/plants12010117] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 12/15/2022] [Accepted: 12/17/2022] [Indexed: 06/17/2023]
Abstract
Common bean is one of the most important legumes produced and consumed worldwide because it is a highly valuable food for the human diet. However, its production is mainly carried out by small farmers, who obtain average grain yields below the potential yield of the species. In this sense, numerous mapping studies have been conducted to identify quantitative trait loci (QTL) associated with yield components in common bean. Meta-QTL (MQTL) analysis is a useful approach to combine data sets and for creating consensus positions for the QTL detected in independent studies. Consequently, the objective of this study was to perform a MQTL analysis to identify the most reliable and stable genomic regions associated with yield-related traits of common bean. A total of 667 QTL associated with yield-related traits reported in 21 different studies were collected. A total of 42 MQTL associated with yield-related traits were identified, in which the average confidence interval (CI) of the MQTL was 3.41 times lower than the CIs of the original QTL. Most of the MQTL (28) identified in this study contain QTL associated with yield and phenological traits; therefore, these MQTL can be useful in common bean breeding programs. Finally, a total of 18 candidate genes were identified and associated with grain yield within these MQTL, with functions related to ubiquitin ligase complex, response to auxin, and translation elongation factor activity.
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Affiliation(s)
- Osvin Arriagada
- Departamento de Ciencias Vegetales, Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile
| | - Bárbara Arévalo
- Centro de Estudios en Alimentos Procesados, Talca 3460000, Chile
| | - Ricardo A. Cabeza
- Departamento de Producción Agrícola, Facultad de Ciencias Agrarias, Universidad de Talca, Talca 3460000, Chile
| | - Basilio Carrasco
- Centro de Estudios en Alimentos Procesados, Talca 3460000, Chile
| | - Andrés R. Schwember
- Departamento de Ciencias Vegetales, Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile
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