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Jian C, Pan Y, Liu S, Guo M, Huang Y, Cao L, Zhang W, Yan L, Zhang X, Hou J, Hao C, Li T. The TaGW2-TaSPL14 module regulates the trade-off between tiller number and grain weight in wheat. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2024. [PMID: 38924348 DOI: 10.1111/jipb.13723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 05/09/2024] [Accepted: 06/03/2024] [Indexed: 06/28/2024]
Abstract
IDEAL PLANT ARCHITECTURE1 (IPA1) is a pivotal gene controlling plant architecture and grain yield. However, little is known about the effects of Triticum aestivum SQUAMOSA PROMOTER-BINDING-LIKE 14 (TaSPL14), an IPA1 ortholog in wheat, on balancing yield traits and its regulatory mechanism in wheat (T. aestivum L.). Here, we determined that the T. aestivum GRAIN WIDTH2 (TaGW2)-TaSPL14 module influences the balance between tiller number and grain weight in wheat. Overexpression of TaSPL14 resulted in a reduced tiller number and increased grain weight, whereas its knockout had the opposite effect, indicating that TaSPL14 negatively regulates tillering while positively regulating grain weight. We further identified TaGW2 as a novel interacting protein of TaSPL14 and confirmed its ability to mediate the ubiquitination and degradation of TaSPL14. Based on our genetic evidence, TaGW2 acts as a positive regulator of tiller number, in addition to its known role as a negative regulator of grain weight, which is opposite to TaSPL14. Moreover, combinations of TaSPL14-7A and TaGW2-6A haplotypes exhibit significantly additive effects on tiller number and grain weight in wheat breeding. Our findings provide insight into how the TaGW2-TaSPL14 module regulates the trade-off between tiller number and grain weight and its potential application in improving wheat yield.
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Affiliation(s)
- Chao Jian
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciencesy, Beijing, 100081, China
| | - Yuxue Pan
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciencesy, Beijing, 100081, China
| | - Shujuan Liu
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciencesy, Beijing, 100081, China
| | - Mengjiao Guo
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciencesy, Beijing, 100081, China
| | - Yilin Huang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciencesy, Beijing, 100081, China
| | - Lina Cao
- Crop Research Institute, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan, 750002, China
| | - Weijun Zhang
- Crop Research Institute, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan, 750002, China
| | - Liuling Yan
- Department of Plant and Soil Sciences, Oklahoma State University, Stillwater, 74078, Oklahoma, USA
| | - Xueyong Zhang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciencesy, Beijing, 100081, China
| | - Jian Hou
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciencesy, Beijing, 100081, China
| | - Chenyang Hao
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciencesy, Beijing, 100081, China
| | - Tian Li
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciencesy, Beijing, 100081, China
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Zhang Z, Wang L, Chen W, Fu Z, Zhao S, E Y, Zhang H, Zhang B, Sun M, Han P, Chang Y, Tang K, Gao Y, Zhang H, Li X, Zheng W. Integration of mRNA and miRNA analysis reveals the molecular mechanisms of sugar beet (Beta vulgaris L.) response to salt stress. Sci Rep 2023; 13:22074. [PMID: 38086906 PMCID: PMC10716384 DOI: 10.1038/s41598-023-49641-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 12/10/2023] [Indexed: 12/18/2023] Open
Abstract
The continuous increase of saline-alkali areas worldwide has led to the emergence of saline-alkali conditions, which are the primary abiotic stress or hindering the growth of plants. Beet is among the main sources of sugar, and its yield and sugar content are notably affected by saline-alkali stress. Despite sugar beet being known as a salt-tolerant crop, there are few studies on the mechanisms underlying its salt tolerance, and previous studies have mainly delineated the crop's response to stress induced by NaCl. Recently, advancements in miRNA-mRNA network analysis have led to an increased understanding of how plants, including sugar beet, respond to stress. In this study, seedlings of beet variety "N98122" were grown in the laboratory using hydroponics culture and were exposed to salt stress at 40 days of growth. According to the phenotypic adaptation of the seedlings' leaves from a state of turgidity to wilting and then back to turgidity before and after exposure, 18 different time points were selected to collect samples for analysis. Subsequently, based on the data of real-time quantitative PCR (qRT-PCR) of salt-responsive genes, the samples collected at the 0, 2.5, 7.5, and 16 h time points were subjected to further analysis with experimental materials. Next, mRNA-seq data led to the identification of 8455 differentially expressed mRNAs (DEMs) under exposure to salt stress. In addition, miRNA-seq based investigation retrieved 3558 miRNAs under exposure to salt stress, encompassing 887 known miRNAs belonging to 783 families and 2,671 novel miRNAs. With the integrated analysis of miRNA-mRNA network, 57 miRNA-target gene pairs were obtained, consisting of 55 DEMIs and 57 DEMs. Afterwards, we determined the pivotal involvement of aldh2b7, thic, and δ-oat genes in the response of sugar beet to the effect of salt stress. Subsequently, we identified the miRNAs novel-m035-5p and novel-m0365-5p regulating the aldh gene and miRNA novel-m0979-3p regulating the thic gene. The findings of miRNA and mRNA expression were validated by qRT-PCR.
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Affiliation(s)
- Ziqiang Zhang
- Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, 010031, China
| | - Liang Wang
- Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, 010031, China
| | - Wenjin Chen
- Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, 010031, China
| | - Zengjuan Fu
- Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, 010031, China
| | - Shangmin Zhao
- Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, 010031, China
| | - Yuanyuan E
- Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, 010031, China
| | - Hui Zhang
- Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, 010031, China
| | - Bizhou Zhang
- Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, 010031, China
| | - Mengyuan Sun
- Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, 010031, China
| | - Pingan Han
- Inner Mongolia Key Laboratory of Sugar Beet Genetics and Germplasm Enhancement, Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, 010031, China
| | - Yue Chang
- Inner Mongolia Key Laboratory of Sugar Beet Genetics and Germplasm Enhancement, Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, 010031, China
| | - Kuangang Tang
- Inner Mongolia Key Laboratory of Sugar Beet Genetics and Germplasm Enhancement, Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, 010031, China
| | - Yanyan Gao
- Linxi County Agriculture and Animal Husbandry Bureau, Chifeng, 025250, China
| | - Huizhong Zhang
- Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, 010031, China
| | - Xiaodong Li
- Inner Mongolia Key Laboratory of Sugar Beet Genetics and Germplasm Enhancement, Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, 010031, China.
| | - Wenzhe Zheng
- Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, 010031, China.
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Song C, Xie K, Hu X, Zhou Z, Liu A, Zhang Y, Du J, Jia J, Gao L, Mao H. Genome wide association and haplotype analyses for the crease depth trait in bread wheat ( Triticum aestivum L.). FRONTIERS IN PLANT SCIENCE 2023; 14:1203253. [PMID: 37465391 PMCID: PMC10350514 DOI: 10.3389/fpls.2023.1203253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 06/14/2023] [Indexed: 07/20/2023]
Abstract
Wheat grain has a complex structure that includes a crease on one side, and tissues within the crease region play an important role in nutrient transportation during wheat grain development. However, the genetic architecture of the crease region is still unclear. In this study, 413 global wheat accessions were resequenced and a method was developed for evaluating the phenotypic data of crease depth (CD). The CD values exhibited continuous and considerable large variation in the population, and the broad-sense heritability was 84.09%. CD was found to be positively correlated with grain-related traits and negatively with quality-related traits. Analysis of differentiation of traits between landraces and cultivars revealed that grain-related traits and CD were simultaneously improved during breeding improvement. Moreover, 2,150.8-Mb genetic segments were identified to fall within the selective sweeps between the landraces and cultivars; they contained some known functional genes for quality- and grain-related traits. Genome-wide association study (GWAS) was performed using around 10 million SNPs generated by genome resequencing and 551 significant SNPs and 18 QTLs were detected significantly associated with CD. Combined with cluster analysis of gene expression, haplotype analysis, and annotated information of candidate genes, two promising genes TraesCS3D02G197700 and TraesCS5A02G292900 were identified to potentially regulate CD. To the best of our knowledge, this is the first study to provide the genetic basis of CD, and the genetic loci identified in this study may ultimately assist in wheat breeding programs.
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Affiliation(s)
- Chengxiang Song
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Kaidi Xie
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Xin Hu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Zhihua Zhou
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Ankui Liu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Yuwei Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Jiale Du
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Jizeng Jia
- Institute of Crop Sciences, Chinese Academy of Agriculture Sciences, Beijing, China
| | - Lifeng Gao
- Institute of Crop Sciences, Chinese Academy of Agriculture Sciences, Beijing, China
| | - Hailiang Mao
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
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