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Caccialupi G, Milc J, Caradonia F, Nasar MF, Francia E. The Triticeae CBF Gene Cluster-To Frost Resistance and Beyond. Cells 2023; 12:2606. [PMID: 37998341 PMCID: PMC10670769 DOI: 10.3390/cells12222606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 11/07/2023] [Accepted: 11/09/2023] [Indexed: 11/25/2023] Open
Abstract
The pivotal role of CBF/DREB1 transcriptional factors in Triticeae crops involved in the abiotic stress response has been highlighted. The CBFs represent an important hub in the ICE-CBF-COR pathway, which is one of the most relevant mechanisms capable of activating the adaptive response to cold and drought in wheat, barley, and rye. Understanding the intricate mechanisms and regulation of the cluster of CBF genes harbored by the homoeologous chromosome group 5 entails significant potential for the genetic improvement of small grain cereals. Triticeae crops seem to share common mechanisms characterized, however, by some peculiar aspects of the response to stress, highlighting a combined landscape of single-nucleotide variants and copy number variation involving CBF members of subgroup IV. Moreover, while chromosome 5 ploidy appears to confer species-specific levels of resistance, an important involvement of the ICE factor might explain the greater tolerance of rye. By unraveling the genetic basis of abiotic stress tolerance, researchers can develop resilient varieties better equipped to withstand extreme environmental conditions. Hence, advancing our knowledge of CBFs and their interactions represents a promising avenue for improving crop resilience and food security.
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Affiliation(s)
- Giovanni Caccialupi
- Department of Life Sciences, University of Modena and Reggio Emilia, Via Amendola 2, 42122 Reggio Emilia, Italy; (J.M.); (F.C.); (M.F.N.); (E.F.)
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Liu J, Li D, Zhu P, Qiu S, Yao K, Zhuang Y, Chen C, Liu G, Wen M, Guo R, Yao W, Deng Y, Shen X, Li T. The Landscapes of Gluten Regulatory Network in Elite Wheat Cultivars Contrasting in Gluten Strength. Int J Mol Sci 2023; 24:9447. [PMID: 37298403 PMCID: PMC10253585 DOI: 10.3390/ijms24119447] [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: 05/05/2023] [Revised: 05/24/2023] [Accepted: 05/26/2023] [Indexed: 06/12/2023] Open
Abstract
Yangmai-13 (YM13) is a wheat cultivar with weak gluten fractions. In contrast, Zhenmai-168 (ZM168) is an elite wheat cultivar known for its strong gluten fractions and has been widely used in a number of breeding programs. However, the genetic mechanisms underlying the gluten signatures of ZM168 remain largely unclear. To address this, we combined RNA-seq and PacBio full-length sequencing technology to unveil the potential mechanisms of ZM168 grain quality. A total of 44,709 transcripts were identified in Y13N (YM13 treated with nitrogen) and 51,942 transcripts in Z168N (ZM168 treated with nitrogen), including 28,016 and 28,626 novel isoforms in Y13N and Z168N, respectively. Five hundred and eighty-four differential alternative splicing (AS) events and 491 long noncoding RNAs (lncRNAs) were discovered. Incorporating the sodium-dodecyl-sulfate (SDS) sedimentation volume (SSV) trait, both weighted gene coexpression network analysis (WGCNA) and multiscale embedded gene coexpression network analysis (MEGENA) were employed for network construction and prediction of key drivers. Fifteen new candidates have emerged in association with SSV, including 4 transcription factors (TFs) and 11 transcripts that partake in the post-translational modification pathway. The transcriptome atlas provides new perspectives on wheat grain quality and would be beneficial for developing promising strategies for breeding programs.
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Affiliation(s)
- Jiajun Liu
- Zhenjiang Academy of Agricultural Sciences, Jiangsu Academy of Agricultural Sciences, Jurong 212400, China; (J.L.); (D.L.); (K.Y.); (C.C.); (M.W.); (R.G.); (W.Y.); (Y.D.); (X.S.)
| | - Dongsheng Li
- Zhenjiang Academy of Agricultural Sciences, Jiangsu Academy of Agricultural Sciences, Jurong 212400, China; (J.L.); (D.L.); (K.Y.); (C.C.); (M.W.); (R.G.); (W.Y.); (Y.D.); (X.S.)
| | - Peng Zhu
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Collaborative Innovation of Modern Crops and Food Crops in Jiangsu/Jiangsu Key Laboratory of Crop Genetics and Physiology, College of Agriculture, Yangzhou University, Yangzhou 225009, China; (P.Z.); (G.L.)
| | - Shi Qiu
- Excellence and Innovation Center, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China;
| | - Kebing Yao
- Zhenjiang Academy of Agricultural Sciences, Jiangsu Academy of Agricultural Sciences, Jurong 212400, China; (J.L.); (D.L.); (K.Y.); (C.C.); (M.W.); (R.G.); (W.Y.); (Y.D.); (X.S.)
| | - Yiqing Zhuang
- Testing Center, Jiangsu Academy of Agricultural Science, Nanjing 210014, China;
| | - Chen Chen
- Zhenjiang Academy of Agricultural Sciences, Jiangsu Academy of Agricultural Sciences, Jurong 212400, China; (J.L.); (D.L.); (K.Y.); (C.C.); (M.W.); (R.G.); (W.Y.); (Y.D.); (X.S.)
| | - Guanqing Liu
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Collaborative Innovation of Modern Crops and Food Crops in Jiangsu/Jiangsu Key Laboratory of Crop Genetics and Physiology, College of Agriculture, Yangzhou University, Yangzhou 225009, China; (P.Z.); (G.L.)
| | - Mingxing Wen
- Zhenjiang Academy of Agricultural Sciences, Jiangsu Academy of Agricultural Sciences, Jurong 212400, China; (J.L.); (D.L.); (K.Y.); (C.C.); (M.W.); (R.G.); (W.Y.); (Y.D.); (X.S.)
| | - Rui Guo
- Zhenjiang Academy of Agricultural Sciences, Jiangsu Academy of Agricultural Sciences, Jurong 212400, China; (J.L.); (D.L.); (K.Y.); (C.C.); (M.W.); (R.G.); (W.Y.); (Y.D.); (X.S.)
| | - Weicheng Yao
- Zhenjiang Academy of Agricultural Sciences, Jiangsu Academy of Agricultural Sciences, Jurong 212400, China; (J.L.); (D.L.); (K.Y.); (C.C.); (M.W.); (R.G.); (W.Y.); (Y.D.); (X.S.)
| | - Yao Deng
- Zhenjiang Academy of Agricultural Sciences, Jiangsu Academy of Agricultural Sciences, Jurong 212400, China; (J.L.); (D.L.); (K.Y.); (C.C.); (M.W.); (R.G.); (W.Y.); (Y.D.); (X.S.)
| | - Xueyi Shen
- Zhenjiang Academy of Agricultural Sciences, Jiangsu Academy of Agricultural Sciences, Jurong 212400, China; (J.L.); (D.L.); (K.Y.); (C.C.); (M.W.); (R.G.); (W.Y.); (Y.D.); (X.S.)
| | - Tao Li
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Collaborative Innovation of Modern Crops and Food Crops in Jiangsu/Jiangsu Key Laboratory of Crop Genetics and Physiology, College of Agriculture, Yangzhou University, Yangzhou 225009, China; (P.Z.); (G.L.)
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Lv L, Dong C, Liu Y, Zhao A, Zhang Y, Li H, Chen X. Transcription-associated metabolomic profiling reveals the critical role of frost tolerance in wheat. BMC PLANT BIOLOGY 2022; 22:333. [PMID: 35820806 PMCID: PMC9275158 DOI: 10.1186/s12870-022-03718-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Accepted: 06/28/2022] [Indexed: 05/31/2023]
Abstract
BACKGROUND Low temperature is a crucial stress factor of wheat (Triticum aestivum L.) and adversely impacts on plant growth and grain yield. Multi-million tons of grain production are lost annually because crops lack the resistance to survive in winter. Particularlly, winter wheat yields was severely damaged under extreme cold conditions. However, studies about the transcriptional and metabolic mechanisms underlying cold stresses in wheat are limited so far. RESULTS In this study, 14,466 differentially expressed genes (DEGs) were obtained between wild-type and cold-sensitive mutants, of which 5278 DEGs were acquired after cold treatment. 88 differential accumulated metabolites (DAMs) were detected, including P-coumaroyl putrescine of alkaloids, D-proline betaine of mino acids and derivativ, Chlorogenic acid of the Phenolic acids. The comprehensive analysis of metabolomics and transcriptome showed that the cold resistance of wheat was closely related to 13 metabolites and 14 key enzymes in the flavonol biosynthesis pathway. The 7 enhanced energy metabolites and 8 up-regulation key enzymes were also compactly involved in the sucrose and amino acid biosynthesis pathway. Moreover, quantitative real-time PCR (qRT-PCR) revealed that twelve key genes were differentially expressed under cold, indicating that candidate genes POD, Tacr7, UGTs, and GSTU6 which were related to cold resistance of wheat. CONCLUSIONS In this study, we obtained the differentially expressed genes and differential accumulated metabolites in wheat under cold stress. Using the DEGs and DAMs, we plotted regulatory pathway maps of the flavonol biosynthesis pathway, sucrose and amino acid biosynthesis pathway related to cold resistance of wheat. It was found that candidate genes POD, Tacr7, UGTs and GSTU6 are related to cold resistance of wheat. This study provided valuable molecular information and new genetic engineering clues for the further study on plant resistance to cold stress.
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Affiliation(s)
- Liangjie Lv
- Institute of Cereal and Oil Crops, Hebei Academy of Agriculture and Forestry Sciences, Crop Genetics and Breeding Laboratory of Hebei, Shijiazhuang, 050000 China
| | - Ce Dong
- Handan Academy of Agricultural Sciences, Handan, 056000 Hebei China
| | - Yuping Liu
- Institute of Cereal and Oil Crops, Hebei Academy of Agriculture and Forestry Sciences, Crop Genetics and Breeding Laboratory of Hebei, Shijiazhuang, 050000 China
| | - Aiju Zhao
- Institute of Cereal and Oil Crops, Hebei Academy of Agriculture and Forestry Sciences, Crop Genetics and Breeding Laboratory of Hebei, Shijiazhuang, 050000 China
| | - Yelun Zhang
- Institute of Cereal and Oil Crops, Hebei Academy of Agriculture and Forestry Sciences, Crop Genetics and Breeding Laboratory of Hebei, Shijiazhuang, 050000 China
| | - Hui Li
- Institute of Cereal and Oil Crops, Hebei Academy of Agriculture and Forestry Sciences, Crop Genetics and Breeding Laboratory of Hebei, Shijiazhuang, 050000 China
| | - Xiyong Chen
- Institute of Cereal and Oil Crops, Hebei Academy of Agriculture and Forestry Sciences, Crop Genetics and Breeding Laboratory of Hebei, Shijiazhuang, 050000 China
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The Isolation and Full-Length Transcriptome Sequencing of a Novel Nidovirus and Response of Its Infection in Japanese Flounder (Paralichthys olivaceus). Viruses 2022; 14:v14061216. [PMID: 35746687 PMCID: PMC9230003 DOI: 10.3390/v14061216] [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: 04/29/2022] [Revised: 05/26/2022] [Accepted: 05/31/2022] [Indexed: 02/01/2023] Open
Abstract
A novel nidovirus, CSBV Bces-Po19, was isolated from the marine fish, Japanese flounder (Paralichthys olivaceus). The viral genome was 26,597 nucleotides long and shared 98.62% nucleotide identity with CSBV WHQSR4345. PacBio Sequel and Illumina sequencing were used to perform full-length transcriptome sequencing on CSBV Bces-Po19-sensitive (S) and -resistant (R) Japanese flounder. The results of negative staining revealed bacilliform and spherical virions. There were in total 1444 different genes between CSBV Bces-Po19 S and R groups, with 935 being up-regulated and 513 being down-regulated. Metabolism-, immune-, and RNA-related pathways were significantly enriched. Furthermore, CSBV Bces-Po19 infection induced alternative splicing (AS) events in Japanese flounder; the S group had a higher numbers of AS events (12,352) than the R group (11,452). The number of long non-coding RNA (lncRNA) in the S group, on the other hand, was significantly lower than in the R group. In addition to providing valuable information that sheds more light on CSBV Bces-Po19 infection, these research findings provide further clues for CSBV Bces-Po19 prevention and treatment.
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Liu H, Guo S, He Y, Shi Q, Yang M, You X. Toll protein family structure, evolution and response of the whiteleg shrimp (Litopenaeus vannamei) to exogenous iridescent virus. JOURNAL OF FISH DISEASES 2021; 44:1131-1145. [PMID: 33835515 DOI: 10.1111/jfd.13374] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 01/26/2021] [Accepted: 03/26/2021] [Indexed: 06/12/2023]
Abstract
Whiteleg shrimp is a widely cultured crustacean, but frequent disease outbreaks have decreased production and caused significant losses. Toll-like receptors (TLRs) comprise a large innate immune family that is involved in the innate immune response. However, understanding of their regulatory mechanism is limited. In this study, PacBio sequencing and Illumina sequencing were applied to the gill and hepatopancreas tissues of whiteleg shrimp and an integrated transcript gene set was established. The upregulation of Toll1, Toll2 and Toll3 transcripts in the hepatopancreas tissue of whiteleg shrimp after iridescent virus infection implies that these proteins are involved in the immune response to the virus; simultaneously, the TRAF6 and relish transcripts in the Toll pathway were also upregulated, implying that the Toll pathway was activated. We predicted the three-dimensional structure of the five Toll proteins in whiteleg shrimp and humans and constructed a phylogenetic tree of the Toll protein family. In addition, there was a large discrepancy of Toll1 between invertebrates and vertebrates, presumably because of the loss of Toll1 protein sequence during the evolution process from invertebrates to vertebrates. Our research will improve the cognition of Toll protein family in invertebrates in terms of evolution, structure and function and provide theoretical guidance for researchers in this field.
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Affiliation(s)
- Hongtao Liu
- Hainan Provincial Key Laboratory of Tropical Maricultural Technologies, Hainan Academy of Ocean and Fisheries Sciences, Haikou, China
| | - Shengtao Guo
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, BGI Marine, BGI, Shenzhen, China
- BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, China
| | - Yugui He
- Hainan Provincial Key Laboratory of Tropical Maricultural Technologies, Hainan Academy of Ocean and Fisheries Sciences, Haikou, China
| | - Qiong Shi
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, BGI Marine, BGI, Shenzhen, China
- BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, China
| | - Mingqiu Yang
- Hainan Provincial Key Laboratory of Tropical Maricultural Technologies, Hainan Academy of Ocean and Fisheries Sciences, Haikou, China
| | - Xinxin You
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, BGI Marine, BGI, Shenzhen, China
- BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, China
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