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Ganguly A, Amin S, Al-Amin, Tasnim Chowdhury F, Khan H, Riazul Islam M. Whole genome resequencing unveils low-temperature stress tolerance specific genomic variations in jute (Corchorus sp.). J Genet Eng Biotechnol 2024; 22:100376. [PMID: 38797551 PMCID: PMC11015510 DOI: 10.1016/j.jgeb.2024.100376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 03/23/2024] [Accepted: 03/27/2024] [Indexed: 05/29/2024]
Abstract
Jute (Corchorus sp.), a commercially important and eco-friendly crop, is widely cultivated in Bangladesh, India, and China. Some varieties of this tropical plant such as the Corchorus olitorius. Variety accession no. 2015 (acc. 2015) has been found to be low-temperature tolerant. The current study was designed to explore the genome-wide variations present in the tolerant plant acc. 2015 in comparison to the sensitive farmer popular variety Corchorus olitorius var. O9897 using the whole genome resequencing technique. Among different variations, intergenic Single Nucleotide Polymorphism (SNPs) and Insertion-Deletion (InDels) were found in the highest percentage whereas approximately 3% SNPs and 2% InDels were found in exonic regions in both plants. Gene enrichment analysis indicated the presence of acc. 2015 specific SNPs in the genes encoding peroxidase, ER lumen protein retaining receptor, and hexosyltransferase involved in stress response (GO:0006950) which were not present in sensitive variety O9897. Besides, distinctive copy number variation regions (CNVRs) comprising 120 gene loci were found in acc. 2015 with a gain of function from multiple copy numbers but absent in O9897. Gene ontology analysis revealed these gene loci to possess different receptors like kinases, helicases, phosphatases, transcription factors especially Myb transcription factors, regulatory proteins containing different binding domains, annexin, laccase, acyl carrier protein, potassium transporter, and vesicular transporter proteins that are responsible for low temperature induced adaptation pathways in plants. This work of identifying genomic variations linked to cold stress tolerance traits will help to develop successful markers that will pave the way to develop genetically modified cold-resistant jute lines for year-round cultivation to meet the demand for a sustainable fiber crop economy.
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Affiliation(s)
- Athoi Ganguly
- Molecular Biology Laboratory, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh
| | - Shaheena Amin
- Molecular Biology Laboratory, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh; Department of Biochemistry and Molecular Biology, National Institute of Science and Technology, Dhaka, Bangladesh
| | - Al-Amin
- Molecular Biology Laboratory, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh
| | - Farhana Tasnim Chowdhury
- Molecular Biology Laboratory, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh
| | - Haseena Khan
- Molecular Biology Laboratory, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh.
| | - Mohammad Riazul Islam
- Molecular Biology Laboratory, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh.
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Gu S, Zhang Z, Li J, Sun J, Cui Z, Li F, Zhuang J, Chen W, Su C, Wu L, Wang X, Guo Z, Xu H, Zhao M, Ma D, Chen W. Natural variation in OsSEC13 HOMOLOG 1 modulates redox homeostasis to confer cold tolerance in rice. PLANT PHYSIOLOGY 2023; 193:2180-2196. [PMID: 37471276 DOI: 10.1093/plphys/kiad420] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 05/17/2023] [Accepted: 06/05/2023] [Indexed: 07/22/2023]
Abstract
Rice (Oryza sativa L.) is a cold-sensitive species that often faces cold stress, which adversely affects yield productivity and quality. However, the genetic basis for low-temperature adaptation in rice remains unclear. Here, we demonstrate that 2 functional polymorphisms in O. sativa SEC13 Homolog 1 (OsSEH1), encoding a WD40-repeat nucleoporin, between the 2 subspecies O. sativa japonica and O. sativa indica rice, may have facilitated cold adaptation in japonica rice. We show that OsSEH1 of the japonica variety expressed in OsSEH1MSD plants (transgenic line overexpressing the OsSEH1 allele from Mangshuidao [MSD], cold-tolerant landrace) has a higher affinity for O. sativa metallothionein 2b (OsMT2b) than that of OsSEH1 of indica. This high affinity of OsSEH1MSD for OsMT2b results in inhibition of OsMT2b degradation, with decreased accumulation of reactive oxygen species and increased cold tolerance. Transcriptome analysis indicates that OsSEH1 positively regulates the expression of the genes encoding dehydration-responsive element-binding transcription factors, i.e. OsDREB1 genes, and induces the expression of multiple cold-regulated genes to enhance cold tolerance. Our findings highlight a breeding resource for improving cold tolerance in rice.
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Affiliation(s)
- Shuang Gu
- Rice Research Institute/Collaborative Innovation Center for Genetic Improvement and High Quality and Efficiency Production of Northeast Japonica Rice in China, Shenyang Agricultural University, Shenyang 110866, China
| | - Zhe Zhang
- Rice Research Institute/Collaborative Innovation Center for Genetic Improvement and High Quality and Efficiency Production of Northeast Japonica Rice in China, Shenyang Agricultural University, Shenyang 110866, China
| | - Jinquan Li
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou 510642, China
- Strube Research GmbH & Co. KG, Söllingen 38387, Germany
| | - Jian Sun
- Rice Research Institute/Collaborative Innovation Center for Genetic Improvement and High Quality and Efficiency Production of Northeast Japonica Rice in China, Shenyang Agricultural University, Shenyang 110866, China
| | - Zhibo Cui
- Rice Research Institute/Collaborative Innovation Center for Genetic Improvement and High Quality and Efficiency Production of Northeast Japonica Rice in China, Shenyang Agricultural University, Shenyang 110866, China
| | - Fengcheng Li
- Rice Research Institute/Collaborative Innovation Center for Genetic Improvement and High Quality and Efficiency Production of Northeast Japonica Rice in China, Shenyang Agricultural University, Shenyang 110866, China
| | - Jia Zhuang
- Rice Research Institute/Collaborative Innovation Center for Genetic Improvement and High Quality and Efficiency Production of Northeast Japonica Rice in China, Shenyang Agricultural University, Shenyang 110866, China
| | - Wanchun Chen
- Rice Research Institute/Collaborative Innovation Center for Genetic Improvement and High Quality and Efficiency Production of Northeast Japonica Rice in China, Shenyang Agricultural University, Shenyang 110866, China
| | - Chang Su
- Rice Research Institute/Collaborative Innovation Center for Genetic Improvement and High Quality and Efficiency Production of Northeast Japonica Rice in China, Shenyang Agricultural University, Shenyang 110866, China
| | - Lian Wu
- Rice Research Institute/Collaborative Innovation Center for Genetic Improvement and High Quality and Efficiency Production of Northeast Japonica Rice in China, Shenyang Agricultural University, Shenyang 110866, China
| | - Xiaoliang Wang
- Rice Research Institute/Collaborative Innovation Center for Genetic Improvement and High Quality and Efficiency Production of Northeast Japonica Rice in China, Shenyang Agricultural University, Shenyang 110866, China
| | - Zhifu Guo
- Rice Research Institute/Collaborative Innovation Center for Genetic Improvement and High Quality and Efficiency Production of Northeast Japonica Rice in China, Shenyang Agricultural University, Shenyang 110866, China
| | - Hai Xu
- Rice Research Institute/Collaborative Innovation Center for Genetic Improvement and High Quality and Efficiency Production of Northeast Japonica Rice in China, Shenyang Agricultural University, Shenyang 110866, China
| | - Minghui Zhao
- Rice Research Institute/Collaborative Innovation Center for Genetic Improvement and High Quality and Efficiency Production of Northeast Japonica Rice in China, Shenyang Agricultural University, Shenyang 110866, China
| | | | - Wenfu Chen
- Rice Research Institute/Collaborative Innovation Center for Genetic Improvement and High Quality and Efficiency Production of Northeast Japonica Rice in China, Shenyang Agricultural University, Shenyang 110866, China
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Zhang Y, Zhang Q, Wang H, Tao S, Cao H, Shi Y, Bakirov A, Xu A, Huang Z. Discovery of common loci and candidate genes for controlling salt-alkali tolerance and yield-related traits in Brassica napus L. PLANT CELL REPORTS 2023; 42:1039-1057. [PMID: 37076701 DOI: 10.1007/s00299-023-03011-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Accepted: 03/27/2023] [Indexed: 05/03/2023]
Abstract
KEY MESSAGE Common loci and candidate genes for controlling salt-alkali tolerance and yield-related traits were identified in Brassica napus combining QTL mapping with transcriptome under salt and alkaline stresses. The yield of rapeseed (Brassica napus L.) is determined by multiple yield-related traits, which are susceptible to environmental factors. Many yield-related quantitative trait loci (QTLs) have been reported in Brassica napus; however, no studies have been conducted to investigate both salt-alkali tolerance and yield-related traits simultaneously. Here, specific-locus amplified fragment sequencing (SLAF-seq) technologies were utilized to map the QTLs for salt-alkali tolerance and yield-related traits. A total of 65 QTLs were identified, including 30 QTLs for salt-alkali tolerance traits and 35 QTLs for yield-related traits, accounting for 7.61-27.84% of the total phenotypic variations. Among these QTLs, 18 unique QTLs controlling two to four traits were identified by meta-analysis. Six novel and unique QTLs were detected for salt-alkali tolerance traits. By comparing these unique QTLs for salt-alkali tolerance traits with those previously reported QTLs for yield-related traits, seven co-localized chromosomal regions were identified on A09 and A10. Combining QTL mapping with transcriptome of two parents under salt and alkaline stresses, thirteen genes were identified as the candidates controlling both salt-alkali tolerance and yield. These findings provide useful information for future breeding of high-yield cultivars resistant to alkaline and salt stresses.
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Affiliation(s)
- Yan Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Qi Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Han Wang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Shunxian Tao
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Hanming Cao
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Yiji Shi
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Aldiyar Bakirov
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Aixia Xu
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Zhen Huang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China.
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Yang J, Chen A, Wei J, Xu J, Chen S, Tang W, Liu J, Wang H. Identification of QTLs and candidate genes for rice seed germinability under low temperature using high‐density genetic mapping and RNA‐seq. Food Energy Secur 2023. [DOI: 10.1002/fes3.452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/27/2023] Open
Affiliation(s)
- Jing Yang
- Yunnan Key Laboratory of Potato Biology Yunnan Normal University Kunming China
| | - Aie Chen
- Teaching Affairs Department Yunnan Normal University Kunming China
| | - Ji Wei
- Yunnan Key Laboratory of Potato Biology Yunnan Normal University Kunming China
| | - Jifen Xu
- Yunnan Key Laboratory of Potato Biology Yunnan Normal University Kunming China
| | - Shengnan Chen
- Yunnan Key Laboratory of Potato Biology Yunnan Normal University Kunming China
| | - Wei Tang
- Yunnan Key Laboratory of Potato Biology Yunnan Normal University Kunming China
| | - Jing Liu
- Yunnan Key Laboratory of Potato Biology Yunnan Normal University Kunming China
| | - Hongyang Wang
- Yunnan Key Laboratory of Potato Biology Yunnan Normal University Kunming China
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Gu S, Zhuang J, Zhang Z, Chen W, Xu H, Zhao M, Ma D. Multi-omics approach reveals the contribution of OsSEH1 to rice cold tolerance. FRONTIERS IN PLANT SCIENCE 2023; 13:1110724. [PMID: 36714747 PMCID: PMC9880419 DOI: 10.3389/fpls.2022.1110724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 12/21/2022] [Indexed: 06/18/2023]
Abstract
As low environmental temperature adversely affects the growth, development and geographical distribution, plants have evolved multiple mechanisms involving changing physiological and metabolic processes to adapt to cold stress. In this study, we revealed that nucleoporin-coding gene OsSEH1 was a positive regulator of cold stress in rice. Physiological assays showed that the activity of antioxidant enzymes showed a significant difference between osseh1 knock-out lines and wild type under cold stress. Metabolome analysis revealed that the contents of large-scale flavonoids serving as ROS scavengers were lower in osseh1 mutants compared with wild type under cold stress. Transcriptome analysis indicated that the DEGs between osseh1 knock-out lines and wild type plants were enriched in defense response, regulation of hormone levels and oxidation-reduction process. Integration of transcriptomic and metabolic profiling revealed that OsSEH1 plays a role in the oxidation-reduction process by coordinately regulating genes expression and metabolite accumulation involved in phenylpropanoid and flavonoid biosynthetic pathway. In addition, Exogenous ABA application assays indicated that osseh1 lines had hypersensitive phenotypes compared with wild type plants, suggesting that OsSEH1 may mediate cold tolerance by regulating ABA levels.
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Affiliation(s)
| | | | | | | | | | | | - Dianrong Ma
- *Correspondence: Minghui Zhao, ; Dianrong Ma,
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6
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Genome-Wide Association Studies of Salt Tolerance at the Seed Germination Stage and Yield-Related Traits in Brassica napus L. Int J Mol Sci 2022; 23:ijms232415892. [PMID: 36555533 PMCID: PMC9785822 DOI: 10.3390/ijms232415892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 12/11/2022] [Accepted: 12/12/2022] [Indexed: 12/15/2022] Open
Abstract
Salt stress severely affects crop growth and development and reduces the yield of Brassica napus. Exploring natural genetic variations for high salt tolerance in B. napus seedlings is an effective approach to improve productivity under salt stress. Using 10,658 high-quality single nucleotide polymorphic (SNP) markers developed by specific-locus amplified fragment sequencing (SLAF-seq) technology, genome-wide association studies (GWAS) were performed to investigate the genetic basis of salt tolerance and yield-related traits of B. napus. The results revealed that 77 and 497 SNPs were significantly associated with salt tolerance and yield-related traits, of which 40 and 58 SNPs were located in previously reported QTLs/SNPs, respectively. We identified nineteen candidate genes orthologous with Arabidopsis genes known to be associated with salt tolerance and seven potential candidates controlling both salt tolerance and yield. Our study provides a novel genetic resource for the breeding of high-yield cultivars resistant to salt stress.
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7
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Zhang J, Pan D, Fan Z, Yu H, Jiang L, Lv S, Sun B, Chen W, Mao X, Liu Q, Li C. Genetic diversity of wild rice accessions ( Oryza rufipogon Griff.) in Guangdong and Hainan Provinces, China, and construction of a wild rice core collection. FRONTIERS IN PLANT SCIENCE 2022; 13:999454. [PMID: 36262660 PMCID: PMC9576158 DOI: 10.3389/fpls.2022.999454] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 09/02/2022] [Indexed: 05/28/2023]
Abstract
Oryza rufipogon Griff. is a valuable germplasm resource for rice genetic improvement. However, natural habitat loss has led to the erosion of the genetic diversity of wild rice populations. Genetic diversity analysis of O. rufipogon accessions and development of the core collection are crucial for conserving natural genetic diversity and providing novel traits for rice breeding. In the present study, we developed 1,592 SNPs by multiplex PCR and next-generation sequencing (NGS) technology and used them to genotype 998 O. rufipogon accessions from 14 agroclimatic zones in Guangdong and Hainan Provinces, China. These SNPs were mapped onto 12 chromosomes, and the average MAF value was 0.128 with a minimum of 0.01 and a maximum of 0.499. The O. rufipogon accessions were classified into ten groups. The mean Nei's diversity index and Shannon-Wiener index (I) were 0.187 and 0.308, respectively, in all populations, indicating that O. rufipogon accessions had rich genetic diversity. There were also differences in the genetic diversity of O. rufipogon resources in the 14 regions. Hainan populations possessed higher levels of genetic diversity, whereas the Guangzhou population had lower levels of genetic diversity than did the other populations. Phylogenetic analysis revealed that the genetic relationship among the distribution sites of O. rufipogon was closely related to geographical location. Based on genetic distance, a core collection of 299 accessions captured more than 99% of the genetic variation in the germplasm. This study provides insights into O. rufipogon conservation, and the constructed core collection provides valuable resources for future research and genomics-assisted breeding of rice.
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Affiliation(s)
- Jing Zhang
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangdong Provincial Key Laboratory of New Technology in Rice Breeding, Guangdong Rice Engineering Laboratory, Guangzhou, China
| | - Dajian Pan
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangdong Provincial Key Laboratory of New Technology in Rice Breeding, Guangdong Rice Engineering Laboratory, Guangzhou, China
| | - Zhilan Fan
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangdong Provincial Key Laboratory of New Technology in Rice Breeding, Guangdong Rice Engineering Laboratory, Guangzhou, China
| | - Hang Yu
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangdong Provincial Key Laboratory of New Technology in Rice Breeding, Guangdong Rice Engineering Laboratory, Guangzhou, China
| | - Liqun Jiang
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangdong Provincial Key Laboratory of New Technology in Rice Breeding, Guangdong Rice Engineering Laboratory, Guangzhou, China
| | - Shuwei Lv
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangdong Provincial Key Laboratory of New Technology in Rice Breeding, Guangdong Rice Engineering Laboratory, Guangzhou, China
| | - Bingrui Sun
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangdong Provincial Key Laboratory of New Technology in Rice Breeding, Guangdong Rice Engineering Laboratory, Guangzhou, China
| | - Wenfeng Chen
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangdong Provincial Key Laboratory of New Technology in Rice Breeding, Guangdong Rice Engineering Laboratory, Guangzhou, China
| | - Xingxue Mao
- Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangdong Provincial Key Laboratory of New Technology in Rice Breeding, Guangdong Rice Engineering Laboratory, Guangzhou, China
| | - Qing Liu
- *Correspondence: Qing Liu, ; Chen Li,
| | - Chen Li
- *Correspondence: Qing Liu, ; Chen Li,
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Khatab AA, Li J, Hu L, Yang J, Fan C, Wang L, Xie G. Global identification of quantitative trait loci and candidate genes for cold stress and chilling acclimation in rice through GWAS and RNA-seq. PLANTA 2022; 256:82. [PMID: 36103054 DOI: 10.1007/s00425-022-03995-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 09/08/2022] [Indexed: 06/15/2023]
Abstract
Associated analysis of GWAS with RNA-seq had detected candidate genes responsible for cold stress and chilling acclimation in rice. Haplotypes of two candidate genes and geographic distribution were analyzed. To explore new candidate genes and genetic resources for cold tolerance improvement in rice, genome-wide association study (GWAS) mapping experiments with 351 rice core germplasms was performed for three traits (survival rate, shoot length and chlorophyll content) under three temperature conditions (normal temperature, cold stress and chilling acclimation), yielding a total of 134 QTLs, of which 54, 59 and 21 QTLs were responsible for normal temperature, cold stress and chilling acclimation conditions, respectively. Integrated analysis of significant SNPs in 134 QTLs further identified 116 QTLs for three temperature treatments, 53, 43 and 18 QTLs responsible for normal temperature, cold stress and chilling acclimation, respectively, and 2 QTLs were responsible for both cold stress and chilling acclimation. Matching differentially expressed genes from RNA-seq to 43 and 18 QTLs for cold stress and chilling acclimation, we identified 69 and 44 trait-associated candidate genes, respectively, to be classified into six and five groups, particularly involved in metabolisms, reactive oxygen species scavenging and hormone signaling. Interestingly, two candidate genes LOC_Os01g04814, encoding a vacuolar protein sorting-associating protein 4B, and LOC_Os01g48440, encoding glycosyltransferase family 43 protein, showed the highest expression levels under chilling acclimation. Haplotype analysis revealed that both genes had a distinctive differentiation with subpopulation. Haplotypes of both genes with more japonica accessions have higher latitude distribution and higher chilling tolerance than the chilling sensitive indica accessions. These findings reveal the new insight into the molecular mechanism and candidate genes for cold stress and chilling acclimation in rice.
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Affiliation(s)
- Ahmed Adel Khatab
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Jianguo Li
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, Guangxi University, Nanning, China
| | - Lihua Hu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, Guangxi University, Nanning, China
- College of Life Science and Technology, Guangxi University, Nanning, 530004, China
| | - Jiangyi Yang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, Guangxi University, Nanning, China
- College of Life Science and Technology, Guangxi University, Nanning, 530004, China
| | - Chuchuan Fan
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Lingqiang Wang
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China.
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Agriculture, Guangxi University, Nanning, China.
| | - Guosheng Xie
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China.
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Combination of Genomics, Transcriptomics Identifies Candidate Loci Related to Cold Tolerance in Dongxiang Wild Rice. PLANTS 2022; 11:plants11182329. [PMID: 36145730 PMCID: PMC9506393 DOI: 10.3390/plants11182329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 08/22/2022] [Accepted: 09/02/2022] [Indexed: 11/17/2022]
Abstract
Rice, a cold-sensitive crop, is a staple food for more than 50% of the world’s population. Low temperature severely compromises the growth of rice and challenges China’s food safety. Dongxiang wild rice (DXWR) is the most northerly common wild rice in China and has strong cold tolerance, but the genetic basis of its cold tolerance is still unclear. Here, we report quantitative trait loci (QTLs) analysis for seedling cold tolerance (SCT) using a high-density single nucleotide polymorphism linkage map in the backcross recombinant inbred lines that were derived from a cross of DXWR, and an indica cultivar, GZX49. A total of 10 putative QTLs were identified for SCT under 4 °C cold treatment, each explaining 2.0–6.8% of the phenotypic variation in this population. Furthermore, transcriptome sequencing of DXWR seedlings before and after cold treatment was performed, and 898 and 3413 differentially expressed genes (DEGs) relative to 0 h in cold-tolerant for 4 h and 12 h were identified, respectively. Gene ontology and Kyoto encyclopedia of genes and genomes (KEGG) analysis were performed on these DEGs. Using transcriptome data and genetic linkage analysis, combined with qRT-PCR, sequence comparison, and bioinformatics, LOC_Os08g04840 was putatively identified as a candidate gene for the major effect locus qSCT8. These findings provided insights into the genetic basis of SCT for the improvement of cold stress potential in rice breeding programs.
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Mao F, Wu D, Lu F, Yi X, Gu Y, Liu B, Liu F, Tang T, Shi J, Zhao X, Liu L, Ji L. QTL mapping and candidate gene analysis of low temperature germination in rice ( Oryza sativa L.) using a genome wide association study. PeerJ 2022; 10:e13407. [PMID: 35578671 PMCID: PMC9107303 DOI: 10.7717/peerj.13407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 04/18/2022] [Indexed: 01/14/2023] Open
Abstract
Low temperature germination (LTG) is a key agronomic trait in rice (Oryza sativa L.). However, the genetic basis of natural variation for LTG is largely unknown. Here, a genome-wide association study (GWAS) was performed using 276 accessions from the 3,000 Rice Genomes (3K-RG) project with 497 k single nucleotide polymorphisms (SNPs) to uncover potential genes for LTG in rice. In total, 37 quantitative trait loci (QTLs) from the 6th day (D6) to the 10th day (D10) were detected in the full population, overlapping with 12 previously reported QTLs for LTG. One novel QTL, namely qLTG1-2, was found stably on D7 in both 2019 and 2020. Based on two germination-specific transcriptome datasets, 13 seed-expressed genes were isolated within a 200 kb interval of qLTG1-2. Combining with haplotype analysis, a functional uncharacterized gene, LOC_Os01g23580, and a seed germination-associated gene, LOC_Os01g23620 (OsSar1a), as promising candidate genes, both of which were significantly differentially expressed between high and low LTG accessions. Collectively, the candidate genes with favorable alleles may be useful for the future characterization of the LTG mechanism and the improvement of the LTG trait in rice breeding.
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Affiliation(s)
- Feng Mao
- School of Chemistry and Life Sciences, Suzhou University of Science and Technology, Suzhou, Jiangsu, China,Jiangsu Key Laboratory for Eco-Agriculture Biotechnology around Hongze Lake, Huaiyin Normal University, Huai’an, Jiangsu, China
| | - Depeng Wu
- Jiangsu Key Laboratory for Eco-Agriculture Biotechnology around Hongze Lake, Huaiyin Normal University, Huai’an, Jiangsu, China,Jiangsu Collaborative Innovation Center of Regional Modern Agriculture and Environment Protection, Huaiyin Normal University, Huai’an, Jiangsu, China
| | - Fangfang Lu
- Jiangsu Key Laboratory for Eco-Agriculture Biotechnology around Hongze Lake, Huaiyin Normal University, Huai’an, Jiangsu, China
| | - Xin Yi
- Jiangsu Key Laboratory for Eco-Agriculture Biotechnology around Hongze Lake, Huaiyin Normal University, Huai’an, Jiangsu, China,Jiangsu Collaborative Innovation Center of Regional Modern Agriculture and Environment Protection, Huaiyin Normal University, Huai’an, Jiangsu, China
| | - Yujuan Gu
- Jiangsu Key Laboratory for Eco-Agriculture Biotechnology around Hongze Lake, Huaiyin Normal University, Huai’an, Jiangsu, China
| | - Bin Liu
- Jiangsu Key Laboratory for Eco-Agriculture Biotechnology around Hongze Lake, Huaiyin Normal University, Huai’an, Jiangsu, China
| | - Fuxia Liu
- Jiangsu Key Laboratory for Eco-Agriculture Biotechnology around Hongze Lake, Huaiyin Normal University, Huai’an, Jiangsu, China,Jiangsu Collaborative Innovation Center of Regional Modern Agriculture and Environment Protection, Huaiyin Normal University, Huai’an, Jiangsu, China
| | - Tang Tang
- Jiangsu Key Laboratory for Eco-Agriculture Biotechnology around Hongze Lake, Huaiyin Normal University, Huai’an, Jiangsu, China,Jiangsu Collaborative Innovation Center of Regional Modern Agriculture and Environment Protection, Huaiyin Normal University, Huai’an, Jiangsu, China
| | - Jianxin Shi
- School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Xiangxiang Zhao
- Jiangsu Key Laboratory for Eco-Agriculture Biotechnology around Hongze Lake, Huaiyin Normal University, Huai’an, Jiangsu, China,Jiangsu Collaborative Innovation Center of Regional Modern Agriculture and Environment Protection, Huaiyin Normal University, Huai’an, Jiangsu, China
| | - Lei Liu
- Jiangsu Key Laboratory for Eco-Agriculture Biotechnology around Hongze Lake, Huaiyin Normal University, Huai’an, Jiangsu, China,Jiangsu Collaborative Innovation Center of Regional Modern Agriculture and Environment Protection, Huaiyin Normal University, Huai’an, Jiangsu, China
| | - Lilian Ji
- School of Chemistry and Life Sciences, Suzhou University of Science and Technology, Suzhou, Jiangsu, China
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Wang X, Li J, Sun J, Gu S, Wang J, Su C, Li Y, Ma D, Zhao M, Chen W. Mining Beneficial Genes for Salt Tolerance From a Core Collection of Rice Landraces at the Seedling Stage Through Genome-Wide Association Mapping. FRONTIERS IN PLANT SCIENCE 2022; 13:847863. [PMID: 35557725 PMCID: PMC9087808 DOI: 10.3389/fpls.2022.847863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 04/08/2022] [Indexed: 06/15/2023]
Abstract
Rice is a salt-sensitive plant. High concentration of salt will hinder the absorption of water and nutrients and ultimately affect the yield. In this study, eight seedling-stage salt-related traits within a core collection of rice landraces were evaluated under salinity stress (100 mM NaCl) and normal conditions in a growth chamber. Genome-wide association study (GWAS) was performed with the genotypic data including 2,487,353 single-nucleotide polymorphisms (SNPs) detected in the core collection. A total of 65 QTLs significantly associated with salt tolerance (ST) were identified by GWAS. Among them, a co-localization QTL qTL4 associated with the SKC, RN/K, and SNC on chromosome 6, which explained 14.38-17.94% of phenotypic variation, was selected for further analysis. According to haplotype analysis, qRT-PCR analysis, and sequence alignment, it was finally determined that 4 candidate genes (LOC_Os06g47720, LOC_Os06g47820, LOC_Os06g47850, LOC_Os06g47970) were related to ST. The results provide useful candidate genes for marker assisted selection for ST in the rice molecular breeding programs.
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Affiliation(s)
- Xiaoliang Wang
- Rice Research Institute, Shenyang Agricultural University, Shenyang, China
| | - Jinquan Li
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, China
- Strube Research GmbH & Co. KG, Söllingen, Germany
| | - Jian Sun
- Rice Research Institute, Shenyang Agricultural University, Shenyang, China
| | - Shuang Gu
- Rice Research Institute, Shenyang Agricultural University, Shenyang, China
| | - Jingbo Wang
- Rice Research Institute, Shenyang Agricultural University, Shenyang, China
| | - Chang Su
- Rice Research Institute, Shenyang Agricultural University, Shenyang, China
| | - Yueting Li
- Rice Research Institute, Shenyang Agricultural University, Shenyang, China
| | - Dianrong Ma
- Rice Research Institute, Shenyang Agricultural University, Shenyang, China
| | - Minghui Zhao
- Rice Research Institute, Shenyang Agricultural University, Shenyang, China
| | - Wenfu Chen
- Rice Research Institute, Shenyang Agricultural University, Shenyang, China
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12
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Wang C, Han B. Twenty years of rice genomics research: From sequencing and functional genomics to quantitative genomics. MOLECULAR PLANT 2022; 15:593-619. [PMID: 35331914 DOI: 10.1016/j.molp.2022.03.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 03/04/2022] [Accepted: 03/18/2022] [Indexed: 06/14/2023]
Abstract
Since the completion of the rice genome sequencing project in 2005, we have entered the era of rice genomics, which is still in its ascendancy. Rice genomics studies can be classified into three stages: structural genomics, functional genomics, and quantitative genomics. Structural genomics refers primarily to genome sequencing for the construction of a complete map of rice genome sequence. This is fundamental for rice genetics and molecular biology research. Functional genomics aims to decode the functions of rice genes. Quantitative genomics is large-scale sequence- and statistics-based research to define the quantitative traits and genetic features of rice populations. Rice genomics has been a transformative influence on rice biological research and contributes significantly to rice breeding, making rice a good model plant for studying crop sciences.
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Affiliation(s)
- Changsheng Wang
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233, China.
| | - Bin Han
- National Center for Gene Research, State Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200233, China.
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13
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Li J, Zhang Z, Chong K, Xu Y. Chilling tolerance in rice: Past and present. JOURNAL OF PLANT PHYSIOLOGY 2022; 268:153576. [PMID: 34875419 DOI: 10.1016/j.jplph.2021.153576] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 11/21/2021] [Accepted: 11/21/2021] [Indexed: 06/13/2023]
Abstract
Rice is generally sensitive to chilling stress, which seriously affects growth and yield. Since early in the last century, considerable efforts have been made to understand the physiological and molecular mechanisms underlying the response to chilling stress and improve rice chilling tolerance. Here, we review the research trends and advances in this field. The phenotypic and biochemical changes caused by cold stress and the physiological explanations are briefly summarized. Using published data from the past 20 years, we reviewed the past progress and important techniques in the identification of quantitative trait loci (QTL), novel genes, and cellular pathways involved in rice chilling tolerance. The advent of novel technologies has significantly advanced studies of cold tolerance, and the characterization of QTLs, key genes, and molecular modules have sped up molecular design breeding for cold tolerance in rice varieties. In addition to gene function studies based on overexpression or artificially generated mutants, elucidating natural allelic variation in specific backgrounds is emerging as a novel approach for the study of cold tolerance in rice, and the superior alleles identified using this approach can directly facilitate breeding.
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Affiliation(s)
- Junhua Li
- College of Life Sciences, Henan Normal University, Xinxiang, 453007, China
| | - Zeyong Zhang
- Ministry of Education Key Laboratory of Cell Activities and Stress Adaptations, School of Life Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Kang Chong
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Yunyuan Xu
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
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14
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Li C, Liu J, Bian J, Jin T, Zou B, Liu S, Zhang X, Wang P, Tan J, Wu G, Chen Q, Wang Y, Zhong Q, Huang S, Yang M, Huang T, He H, Bian J. Identification of cold tolerance QTLs at the bud burst stage in 211 rice landraces by GWAS. BMC PLANT BIOLOGY 2021; 21:542. [PMID: 34800993 PMCID: PMC8605578 DOI: 10.1186/s12870-021-03317-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 11/04/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Rice is a crop that is very sensitive to low temperature, and its morphological development and production are greatly affected by low temperature. Therefore, understanding the genetic basis of cold tolerance in rice is of great significance for mining favorable genes and cultivating excellent rice varieties. However, there have been limited studies focusing on cold tolerance at the bud burst stage; therefore, considerable attention should be given to the genetic basis of cold tolerance at this stage. RESULTS In this study, a natural population consisting of 211 rice landraces collected from 15 provinces in China and other countries was used for the first time to evaluate cold tolerance at the bud burst stage. Population structure analysis showed that this population was divided into two groups and was rich in genetic diversity. Our evaluation results confirmed that japonica rice was more tolerant to cold at the bud burst stage than indica rice. A genome-wide association study (GWAS) was performed with the phenotypic data of 211 rice landraces and a 36,727 SNP dataset under a mixed linear model. Twelve QTLs (P < 0.0001) were identified for the seedling survival rate (SR) after treatment at 4 °C, in which there were five QTLs (qSR2-2, qSR3-1, qSR3-2, qSR3-3 and qSR9) that were colocalized with those from previous studies and seven QTLs (qSR2-1, qSR3-4, qSR3-5, qSR3-6, qSR3-7, qSR4 and qSR7) that were reported for the first time. Among these QTLs, qSR9, harboring the most significant SNP, explained the most phenotypic variation. Through bioinformatics analysis, five genes (LOC_Os09g12440, LOC_Os09g12470, LOC_Os09g12520, LOC_Os09g12580 and LOC_Os09g12720) were identified as candidates for qSR9. CONCLUSION This natural population consisting of 211 rice landraces combined with high-density SNPs will serve as a better choice for identifying rice QTLs/genes in the future, and the detected QTLs associated with cold tolerance at the bud burst stage in rice will be conducive to further mining favorable genes and breeding rice varieties under cold stress.
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Affiliation(s)
- Caijing Li
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, Nanchang, 330045 Jiangxi Province China
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Nanchang, 330045 Jiangxi Province China
| | - Jindong Liu
- Agricultural Genomics Institute in Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518000 Guangdong Province China
| | - Jianxin Bian
- Peking University Institute of Advanced Agricultural Sciences, Weifang, 261325 Shandong Province China
| | - Tao Jin
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, Nanchang, 330045 Jiangxi Province China
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Nanchang, 330045 Jiangxi Province China
| | - Baoli Zou
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, Nanchang, 330045 Jiangxi Province China
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Nanchang, 330045 Jiangxi Province China
| | - Shilei Liu
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, Nanchang, 330045 Jiangxi Province China
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Nanchang, 330045 Jiangxi Province China
| | - Xiangyu Zhang
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, Nanchang, 330045 Jiangxi Province China
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Nanchang, 330045 Jiangxi Province China
| | - Peng Wang
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, Nanchang, 330045 Jiangxi Province China
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Nanchang, 330045 Jiangxi Province China
| | - Jingai Tan
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, Nanchang, 330045 Jiangxi Province China
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Nanchang, 330045 Jiangxi Province China
| | - Guangliang Wu
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, Nanchang, 330045 Jiangxi Province China
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Nanchang, 330045 Jiangxi Province China
| | - Qin Chen
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, Nanchang, 330045 Jiangxi Province China
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Nanchang, 330045 Jiangxi Province China
| | - Yanning Wang
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, Nanchang, 330045 Jiangxi Province China
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Nanchang, 330045 Jiangxi Province China
| | - Qi Zhong
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, Nanchang, 330045 Jiangxi Province China
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Nanchang, 330045 Jiangxi Province China
| | - Shiying Huang
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, Nanchang, 330045 Jiangxi Province China
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Nanchang, 330045 Jiangxi Province China
| | - Mengmeng Yang
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, Nanchang, 330045 Jiangxi Province China
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Nanchang, 330045 Jiangxi Province China
| | - Tao Huang
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, Nanchang, 330045 Jiangxi Province China
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Nanchang, 330045 Jiangxi Province China
| | - Haohua He
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, Nanchang, 330045 Jiangxi Province China
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Nanchang, 330045 Jiangxi Province China
| | - Jianmin Bian
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, Nanchang, 330045 Jiangxi Province China
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Nanchang, 330045 Jiangxi Province China
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15
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Ji H, Shin Y, Lee C, Oh H, Yoon IS, Baek J, Cha YS, Lee GS, Kim SL, Kim KH. Genomic Variation in Korean japonica Rice Varieties. Genes (Basel) 2021; 12:genes12111749. [PMID: 34828355 PMCID: PMC8623644 DOI: 10.3390/genes12111749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 10/24/2021] [Accepted: 10/28/2021] [Indexed: 11/27/2022] Open
Abstract
Next-generation sequencing technologies have enabled the discovery of numerous sequence variations among closely related crop varieties. We analyzed genome resequencing data from 24 Korean temperate japonica rice varieties and discovered 954,233 sequence variations, including 791,121 single nucleotide polymorphisms (SNPs) and 163,112 insertions/deletions (InDels). On average, there was one variant per 391 base-pairs (bp), a variant density of 2.6 per 1 kbp. Of the InDels, 10,860 were longer than 20 bp, which enabled conversion to markers resolvable on an agarose gel. The effect of each variant on gene function was predicted using the SnpEff program. The variants were categorized into four groups according to their impact: high, moderate, low, and modifier. These groups contained 3524 (0.4%), 27,656 (2.9%), 24,875 (2.6%), and 898,178 (94.1%) variants, respectively. To test the accuracy of these data, eight InDels from a pre-harvest sprouting resistance QTL (qPHS11) target region, four highly polymorphic InDels, and four functional sequence variations in known agronomically important genes were selected and successfully developed into markers. These results will be useful to develop markers for marker-assisted selection, to select candidate genes in map-based cloning, and to produce efficient high-throughput genome-wide genotyping systems for Korean temperate japonica rice varieties.
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16
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Zhou Y, Sommer ML, Hochholdinger F. Cold response and tolerance in cereal roots. JOURNAL OF EXPERIMENTAL BOTANY 2021:erab334. [PMID: 34270744 DOI: 10.1093/jxb/erab334] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Indexed: 05/02/2023]
Abstract
Cold stress adversely affects plant growth and is a limiting factor in crop productivity. Temperature volatility as a consequence of climate change will increase the effects of cold stress on crop cultivation. Low temperatures frequently occur early after planting in temperate climates and severely affect root development in cereals. In this review we address the question how cereal root systems respond to cold on different scales. First, we summarize the morphological, physiological and cellular responses of cereal roots to cold stress and how these processes are regulated by phytohormones. Subsequently, we highlight the status of the genetic and molecular dissection of cold tolerance with emphasis on the role of cold-responsive genes in improving cold tolerance in cereal roots. Finally, we discuss the role of beneficial microorganisms and mineral nutrients in ameliorating the effects of cold stress in cereal roots. A comprehensive knowledge of the molecular mechanisms underlying cold tolerance will ensure yield stability by enabling the generation of cold-tolerant crop genotypes.
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Affiliation(s)
- Yaping Zhou
- INRES, Institute of Crop Science and Resource Conservation, Crop Functional Genomics, University of Bonn, 53113 Bonn, Germany
| | - Mauritz Leonard Sommer
- INRES, Institute of Crop Science and Resource Conservation, Crop Functional Genomics, University of Bonn, 53113 Bonn, Germany
| | - Frank Hochholdinger
- INRES, Institute of Crop Science and Resource Conservation, Crop Functional Genomics, University of Bonn, 53113 Bonn, Germany
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17
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Barrera-Redondo J, Piñero D, Eguiarte LE. Genomic, Transcriptomic and Epigenomic Tools to Study the Domestication of Plants and Animals: A Field Guide for Beginners. Front Genet 2020; 11:742. [PMID: 32760427 PMCID: PMC7373799 DOI: 10.3389/fgene.2020.00742] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Accepted: 06/22/2020] [Indexed: 01/07/2023] Open
Abstract
In the last decade, genomics and the related fields of transcriptomics and epigenomics have revolutionized the study of the domestication process in plants and animals, leading to new discoveries and new unresolved questions. Given that some domesticated taxa have been more studied than others, the extent of genomic data can range from vast to nonexistent, depending on the domesticated taxon of interest. This review is meant as a rough guide for students and academics that want to start a domestication research project using modern genomic tools, as well as for researchers already conducting domestication studies that are interested in following a genomic approach and looking for alternate strategies (cheaper or more efficient) and future directions. We summarize the theoretical and technical background needed to carry out domestication genomics, starting from the acquisition of a reference genome and genome assembly, to the sampling design for population genomics, paleogenomics, transcriptomics, epigenomics and experimental validation of domestication-related genes. We also describe some examples of the aforementioned approaches and the relevant discoveries they made to understand the domestication of the studied taxa.
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Affiliation(s)
| | | | - Luis E. Eguiarte
- Departamento de Ecología Evolutiva, Instituto de Ecología, Universidad Nacional Autónoma de México, Mexico City, Mexico
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18
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Jiang C, Zhang H, Ren J, Dong J, Zhao X, Wang X, Wang J, Zhong C, Zhao S, Liu X, Gao S, Yu H. Comparative Transcriptome-Based Mining and Expression Profiling of Transcription Factors Related to Cold Tolerance in Peanut. Int J Mol Sci 2020; 21:ijms21061921. [PMID: 32168930 PMCID: PMC7139623 DOI: 10.3390/ijms21061921] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 03/03/2020] [Accepted: 03/05/2020] [Indexed: 01/22/2023] Open
Abstract
Plants tolerate cold stress by regulating gene networks controlling cellular and physiological traits to modify growth and development. Transcription factor (TF)-directed regulation of transcription within these gene networks is key to eliciting appropriate responses. Identifying TFs related to cold tolerance contributes to cold-tolerant crop breeding. In this study, a comparative transcriptome analysis was carried out to investigate global gene expression of entire TFs in two peanut varieties with different cold-tolerant abilities. A total of 87 TF families including 2328 TF genes were identified. Among them, 445 TF genes were significantly differentially expressed in two peanut varieties under cold stress. The TF families represented by the largest numbers of differentially expressed members were bHLH (basic helix—loop—helix protein), C2H2 (Cys2/His2 zinc finger protein), ERF (ethylene-responsive factor), MYB (v-myb avian myeloblastosis viral oncogene homolog), NAC (NAM, ATAF1/2, CUC2) and WRKY TFs. Phylogenetic evolutionary analysis, temporal expression profiling, protein–protein interaction (PPI) network, and functional enrichment of differentially expressed TFs revealed the importance of plant hormone signal transduction and plant-pathogen interaction pathways and their possible mechanism in peanut cold tolerance. This study contributes to a better understanding of the complex mechanism of TFs in response to cold stress in peanut and provides valuable resources for the investigation of evolutionary history and biological functions of peanut TFs genes involved in cold tolerance.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Haiqiu Yu
- Correspondence: ; Tel.: +86-136-7420-1361
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19
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Wang RJ, Gao XF, Yang J, Kong XR. Genome-Wide Association Study to Identify Favorable SNP Allelic Variations and Candidate Genes That Control the Timing of Spring Bud Flush of Tea ( Camellia sinensis) Using SLAF-seq. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2019; 67:10380-10391. [PMID: 31464444 DOI: 10.1021/acs.jafc.9b03330] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
The timing of spring bud flush (TBF) is of economic importance for tea plant (Camellia sinensis) breeding. We employed a genome-wide association study (GWAS) to identify favorable single nucleotide polymorphism (SNP) allelic variations as well as candidate genes that control TBF of C. sinensis using specific-locus-amplified fragment sequencing (SLAF-seq) in a diversity panel comprising 151 tea plant germplasm resources. GWAS analysis revealed 26 SNPs associated with TBF in three years, and we eventually identified a final significant SNP for TBF. To identify candidate genes possibly related to TBF, we screened seven candidate genes within 100 kb regions surrounding the trait-related SNP loci. Furthermore, the favorable allelic variation, the "TT" genotype in the SNP loci, was discovered, and a derived cleaved amplified polymorphism (dCAPS) marker was designed that cosegregated with TBF, which could be used for marker-assisted selection (MAS) breeding in C. sinensis. The results obtained from this study can provide a theoretical and applied basis for the MAS of early breeding in tea plants in the future.
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Affiliation(s)
- Rang Jian Wang
- Institute of Tea , Fujian Academy of Agricultural Sciences , 1 Hutouyang Road, Shekou , Fu'an , Fujian 355015 , China
- Fujian Branch , National Center for Tea Improvement , 1 Hutouyang Road, Shekou , Fu'an , Fujian 355015 , China
| | - Xiang Feng Gao
- Institute of Tea , Fujian Academy of Agricultural Sciences , 1 Hutouyang Road, Shekou , Fu'an , Fujian 355015 , China
- Fujian Branch , National Center for Tea Improvement , 1 Hutouyang Road, Shekou , Fu'an , Fujian 355015 , China
| | - Jun Yang
- Institute of Tea , Fujian Academy of Agricultural Sciences , 1 Hutouyang Road, Shekou , Fu'an , Fujian 355015 , China
- Fujian Branch , National Center for Tea Improvement , 1 Hutouyang Road, Shekou , Fu'an , Fujian 355015 , China
| | - Xiang Rui Kong
- Institute of Tea , Fujian Academy of Agricultural Sciences , 1 Hutouyang Road, Shekou , Fu'an , Fujian 355015 , China
- Fujian Branch , National Center for Tea Improvement , 1 Hutouyang Road, Shekou , Fu'an , Fujian 355015 , China
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20
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Zhao M, Song J, Wu A, Hu T, Li J. Mining Beneficial Genes for Aluminum Tolerance Within a Core Collection of Rice Landraces Through Genome-Wide Association Mapping With High Density SNPs From Specific-Locus Amplified Fragment Sequencing. FRONTIERS IN PLANT SCIENCE 2018; 9:1838. [PMID: 30619409 PMCID: PMC6305482 DOI: 10.3389/fpls.2018.01838] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Accepted: 11/27/2018] [Indexed: 06/09/2023]
Abstract
Trivalent Aluminum (Al3+) in acidic soils is harmful to root growth and significantly reduce crop yields. Therefore, mining beneficial genes for Al tolerance is valuable for rice production. The objective of this research is to identify some beneficial genes for Al tolerance from rice landraces with high density SNP set from SLAF-seq (Specific-Locus Amplified Fragment sequencing). A total of 67,511 SNPs were obtained from SLAF-seq and used for genome-wide association study (GWAS) for Al tolerance with the 150 accessions of rice landraces in the Ting's rice core collection. The results showed that rice landraces in the Ting's rice core collection possessed a wide-range of variation for Al tolerance, measured by relative root elongation (RRE). With the mixed linear models, GWAS identified a total of 25 associations between SNPs and Al tolerant trait with p < 0.001 and false discovery rate (FDR) <10%. The explained percentage by quantitative trait locus (QTL) to phenotypic variation was from 7.27 to 13.31%. Five of twenty five QTLs identified in this study were co-localized with the previously cloned genes or previously identified QTLs related to Al tolerance or root growth/development. These results indicated that landraces are important sources for Al tolerance in rice and the mapping results could provide important information to breed Al tolerant rice cultivars through marker-assisted selection.
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Affiliation(s)
- Minghui Zhao
- Rice Research Institute, Shenyang Agriculture University, Shenyang, China
| | - Jiayu Song
- Rice Research Institute, Shenyang Agriculture University, Shenyang, China
| | - Aiting Wu
- Rice Research Institute, Shenyang Agriculture University, Shenyang, China
| | - Tao Hu
- Rice Research Institute, Shenyang Agriculture University, Shenyang, China
| | - Jinquan Li
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, China
- Department of Plant Breeding and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
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