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Ding Y, Wang Y, Chen Z, Dou J, Zhang Y, Zhang Y. Comparative chloroplast-specific SNP and nSCoT markers analysis and population structure study in kiwifruit plants. Hereditas 2024; 161:18. [PMID: 38760874 PMCID: PMC11102262 DOI: 10.1186/s41065-024-00321-3] [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: 01/22/2024] [Accepted: 04/29/2024] [Indexed: 05/19/2024] Open
Abstract
BACKGROUND Kiwifruit (Actinidiaceae family) is an economically important fruit tree in China and New Zealand. It is a typical dioecious plant that has undergone frequent natural hybridization, along with chromosomal ploidy diversity within the genus Actinidia, resulting in higher genetic differences and horticultural diversity between interspecific and intraspecific traits. This diversity provides a rich genetic base for breeding. China is not only the original center of speciation for the Actinidia genus but also its distribution center, housing the most domesticated species: A. chinensis var. chinensis, A. chinensis var. deliciosa, A. arguta, and A. polygama. However, there have been relatively few studies on the application of DNA markers and the genetic basis of kiwifruit plants. By combining information from chloroplast-specific SNPs and nuclear SCoT (nSCoT) markers, we can uncover complementary aspects of genetic variation, population structure, and evolutionary relationships. In this study, one chloroplast DNA (cpDNA) marker pair was selected out of nine cpDNA candidate pairs. Twenty nSCoT markers were selected and used to assess the population structure and chloroplast-specific DNA haplotype diversity in 55 kiwifruit plants (Actinidia), including 20 samples of A. chinensis var. chinensis, 22 samples of A. chinensis var. deliciosa, 11 samples of A. arguta, and two samples of A. polygama, based on morphological observations collected from China. RESULTS The average genetic distance among the 55 samples was 0.26 with chloroplast-specific SNP markers and 0.57 with nSCoT markers. The Mantel test revealed a very small correlation (r = 0.21). The 55 samples were categorized into different sub-populations using Bayesian analysis, the Unweighted Pair Group Method with the Arithmetic Mean (UPGMA), and the Principal Component Analysis (PCA) method, respectively. Based on the analysis of 205 variable sites, a total of 15 chloroplast-specific DNA haplotypes were observed, contributing to a higher level of polymorphism with an Hd of 0.78. Most of the chloroplast-specific DNA haplotype diversity was distributed among populations, but significant diversity was also observed within populations. H1 was shared by 24 samples, including 12 of A. chinensis var. chinensis and 12 of A. chinensis var. deliciosa, indicating that H1 is an ancient and dominant haplotype among the 55 chloroplast-specific sequences. H2 may not have evolved further.The remaining haplotypes were rare and unique, with some appearing to be exclusive to a particular variety and often detected in single individuals. For example, the H15 haplotype was found exclusively in A. polygama. CONCLUSION The population genetic variation explained by chloroplast-specific SNP markers has greater power than that explained by nSCoTs, with chloroplast-specific DNA haplotypes being the most efficient. Gene flow appears to be more evident between A. chinensis var. chinensis and A. chinensis var. deliciosa, as they share chloroplast-specific DNA haplotypes, In contrast, A.arguta and A. polygama possess their own characteristic haplotypes, derived from the haplotype of A. chinensis var. chinensis. Compared with A. chinensis, the A.arguta and A. polygama showed better grouping. It also seems crucial to screen out, for each type of molecular marker, especially haplotypes, the core markers of the Actinidia genus.
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Affiliation(s)
- Yinling Ding
- School of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong, Shaanxi Province, China
- Shaanxi Province Key Laboratory of Bio-resources, Hanzhong, Shaanxi Province, China
- QinLing-Bashan Mountains Bioresources Comprehensive Development C. I. C, Hanzhong, Shaanxi Province, China
- Qinba State Key Laboratory of biological resources and ecological environment,, Hanzhong,, Shaanxi Province, China
| | - Yu Wang
- School of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong, Shaanxi Province, China
- Shaanxi Province Key Laboratory of Bio-resources, Hanzhong, Shaanxi Province, China
- QinLing-Bashan Mountains Bioresources Comprehensive Development C. I. C, Hanzhong, Shaanxi Province, China
- Qinba State Key Laboratory of biological resources and ecological environment,, Hanzhong,, Shaanxi Province, China
- Shaanxi Fruit Industry Group Limited Hanzhong Kiwifruit R&D Centre, Hanzhong, Shaanxi Province, China
| | - Zhe Chen
- School of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong, Shaanxi Province, China
- Shaanxi Province Key Laboratory of Bio-resources, Hanzhong, Shaanxi Province, China
- QinLing-Bashan Mountains Bioresources Comprehensive Development C. I. C, Hanzhong, Shaanxi Province, China
- Qinba State Key Laboratory of biological resources and ecological environment,, Hanzhong,, Shaanxi Province, China
| | - Jiamin Dou
- School of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong, Shaanxi Province, China
- Shaanxi Province Key Laboratory of Bio-resources, Hanzhong, Shaanxi Province, China
- QinLing-Bashan Mountains Bioresources Comprehensive Development C. I. C, Hanzhong, Shaanxi Province, China
- Qinba State Key Laboratory of biological resources and ecological environment,, Hanzhong,, Shaanxi Province, China
| | - Yihao Zhang
- School of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong, Shaanxi Province, China
- Shaanxi Province Key Laboratory of Bio-resources, Hanzhong, Shaanxi Province, China
- QinLing-Bashan Mountains Bioresources Comprehensive Development C. I. C, Hanzhong, Shaanxi Province, China
- Qinba State Key Laboratory of biological resources and ecological environment,, Hanzhong,, Shaanxi Province, China
| | - Yu Zhang
- School of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong, Shaanxi Province, China.
- Shaanxi Province Key Laboratory of Bio-resources, Hanzhong, Shaanxi Province, China.
- QinLing-Bashan Mountains Bioresources Comprehensive Development C. I. C, Hanzhong, Shaanxi Province, China.
- Qinba State Key Laboratory of biological resources and ecological environment,, Hanzhong,, Shaanxi Province, China.
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Li C, Li Y, Zhou Z, Huang Y, Tu Z, Zhuo X, Tian D, Liu Y, Di H, Lin Z, Shi M, He X, Xu H, Zheng Y, Mu Z. Genome-wide identification and comprehensive analysis heat shock transcription factor (Hsf) members in asparagus (Asparagus officinalis) at the seeding stage under abiotic stresses. Sci Rep 2023; 13:18103. [PMID: 37872303 PMCID: PMC10593832 DOI: 10.1038/s41598-023-45322-w] [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: 05/31/2023] [Accepted: 10/18/2023] [Indexed: 10/25/2023] Open
Abstract
Heat shock transcription factors (Hsf) are pivotal as essential transcription factors. They function as direct transcriptional activators of genes regulated by thermal stress and are closely associated with various abiotic stresses. Asparagus (Asparagus officinalis) is a vegetable of considerable economic and nutritional significance, abundant in essential vitamins, minerals, and dietary fiber. Nevertheless, asparagus is sensitive to environmental stresses, and specific abiotic stresses harm its yield and quality. In this context, Hsf members have been discerned through the reference genome, and a comprehensive analysis encompassing physical and chemical attributes, evolutionary aspects, motifs, gene structure, cis-acting elements, collinearity, and expression patterns under abiotic stresses has been conducted. The findings identified 18 members, categorized into five distinct subgroups. Members within each subgroup exhibited analogous motifs, gene structures, and cis-acting elements. Collinearity analysis unveiled a noteworthy pattern, revealing that Hsf members within asparagus shared one, two, and three pairs with counterparts in Arabidopsis, Oryza sativa, and Glycine max, respectively.Furthermore, members displayed tissue-specific expression during the seedling stage, with roots emerging as viable target tissue. Notably, the expression levels of certain members underwent modification under the influence of abiotic stresses. This study establishes a foundational framework for understanding Hsf members and offers valuable insights into the potential application of molecular breeding in the context of asparagus cultivation.
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Affiliation(s)
- Caihua Li
- Jilin Academy of Agricultural Sciences, Changchun, Jilin, China
| | - Yuhuan Li
- Jilin Academy of Agricultural Sciences, Changchun, Jilin, China
| | - Zeng Zhou
- Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, China
| | - Yudi Huang
- Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, China
| | - Zunzun Tu
- Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, China
| | - Xin Zhuo
- Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, China
| | - Dingyuan Tian
- Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, China
| | - Yibo Liu
- Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, China
| | - Hongli Di
- Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, China
| | - Ze Lin
- Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, China
| | - Mingxin Shi
- Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, China
| | - Xue He
- Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, China
| | - Haiyu Xu
- Jilin Academy of Agricultural Sciences, Changchun, Jilin, China
| | - Yi Zheng
- Jilin Academy of Agricultural Sciences, Changchun, Jilin, China
| | - Zhongsheng Mu
- Jilin Academy of Agricultural Sciences, Changchun, Jilin, China.
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Raj SRG, Nadarajah K. QTL and Candidate Genes: Techniques and Advancement in Abiotic Stress Resistance Breeding of Major Cereals. Int J Mol Sci 2022; 24:ijms24010006. [PMID: 36613450 PMCID: PMC9820233 DOI: 10.3390/ijms24010006] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 12/06/2022] [Accepted: 12/13/2022] [Indexed: 12/24/2022] Open
Abstract
At least 75% of the world's grain production comes from the three most important cereal crops: rice (Oryza sativa), wheat (Triticum aestivum), and maize (Zea mays). However, abiotic stressors such as heavy metal toxicity, salinity, low temperatures, and drought are all significant hazards to the growth and development of these grains. Quantitative trait locus (QTL) discovery and mapping have enhanced agricultural production and output by enabling plant breeders to better comprehend abiotic stress tolerance processes in cereals. Molecular markers and stable QTL are important for molecular breeding and candidate gene discovery, which may be utilized in transgenic or molecular introgression. Researchers can now study synteny between rice, maize, and wheat to gain a better understanding of the relationships between the QTL or genes that are important for a particular stress adaptation and phenotypic improvement in these cereals from analyzing reports on QTL and candidate genes. An overview of constitutive QTL, adaptive QTL, and significant stable multi-environment and multi-trait QTL is provided in this article as a solid framework for use and knowledge in genetic enhancement. Several QTL, such as DRO1 and Saltol, and other significant success cases are discussed in this review. We have highlighted techniques and advancements for abiotic stress tolerance breeding programs in cereals, the challenges encountered in introgressing beneficial QTL using traditional breeding techniques such as mutation breeding and marker-assisted selection (MAS), and the in roads made by new breeding methods such as genome-wide association studies (GWASs), the clustered regularly interspaced short palindromic repeat (CRISPR)/Cas9 system, and meta-QTL (MQTL) analysis. A combination of these conventional and modern breeding approaches can be used to apply the QTL and candidate gene information in genetic improvement of cereals against abiotic stresses.
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He YH, Zhang ZR, Xu YP, Chen SY, Cai XZ. Genome-Wide Identification of Rapid Alkalinization Factor Family in Brassica napus and Functional Analysis of BnRALF10 in Immunity to Sclerotinia sclerotiorum. FRONTIERS IN PLANT SCIENCE 2022; 13:877404. [PMID: 35592581 PMCID: PMC9113046 DOI: 10.3389/fpls.2022.877404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 04/11/2022] [Indexed: 06/15/2023]
Abstract
Rapid alkalinization factors (RALFs) were recently reported to be important players in plant immunity. Nevertheless, the signaling underlying RALF-triggered immunity in crop species against necrotrophic pathogens remains largely unknown. In this study, RALF family in the important oil crop oilseed rape (Brassica napus) was identified and functions of BnRALF10 in immunity against the devastating necrotrophic pathogen Sclerotinia sclerotiorum as well as the signaling underlying this immunity were revealed. The oilseed rape genome carried 61 RALFs, half of them were atypical, containing a less conserved YISY motif and lacking a RRXL motif or a pair of cysteines. Family-wide gene expression analyses demonstrated that patterns of expression in response to S. sclerotiorum infection and DAMP and PAMP treatments were generally RALF- and stimulus-specific. Most significantly responsive BnRALF genes were expressionally up-regulated by S. sclerotiorum, while in contrast, more BnRALF genes were down-regulated by BnPep5 and SsNLP1. These results indicate that members of BnRALF family are likely differentially involved in plant immunity. Functional analyses revealed that BnRALF10 provoked diverse immune responses in oilseed rape and stimulated resistance to S. sclerotiorum. These data support BnRALF10 to function as a DAMP to play a positive role in plant immunity. BnRALF10 interacted with BnFER. Silencing of BnFER decreased BnRALF10-induced reactive oxygen species (ROS) production and compromised rape resistance to S. sclerotiorum. These results back BnFER to be a receptor of BnRALF10. Furthermore, quantitative proteomic analysis identified dozens of BnRALF10-elicited defense (RED) proteins, which respond to BnRALF10 in protein abundance and play a role in defense. Our results revealed that BnRALF10 modulated the abundance of RED proteins to fine tune plant immunity. Collectively, our results provided some insights into the functions of oilseed rape RALFs and the signaling underlying BnRALF-triggered immunity.
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Affiliation(s)
- Yu-Han He
- Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Biotechnology, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China
| | - Zhuo-Ran Zhang
- Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Biotechnology, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China
| | - You-Ping Xu
- Centre of Analysis and Measurement, Zhejiang University, Hangzhou, China
| | - Song-Yu Chen
- Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Biotechnology, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China
| | - Xin-Zhong Cai
- Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Biotechnology, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China
- Hainan Institute, Zhejiang University, Sanya, China
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