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Li D, Gu B, Huang C, Shen J, Wang X, Guo J, Yu R, Mou S, Guan Q. Functional Study of Amorpha fruticosa WRKY20 Gene in Response to Drought Stress. Int J Mol Sci 2023; 24:12231. [PMID: 37569607 PMCID: PMC10418629 DOI: 10.3390/ijms241512231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 07/26/2023] [Accepted: 07/27/2023] [Indexed: 08/13/2023] Open
Abstract
The WRKY gene family in plants regulates the plant's response to drought through regulatory networks and hormone signaling. AfWRKY20 (MT859405) was cloned from Amorpha fruticosa (A. fruticosa) seedlings using RT-PCR. The binding properties of the AfWRKY20 protein and the W-box (a DNA cis-acting element) were verified both in vivo and in vitro using EMSA and Dual-Luciferase activity assays. RT-qPCR detected that the total expression level of AfWRKY20 in leaves and roots was 22 times higher in the 30% PEG6000 simulated drought treatment compared to the untreated group. Under the simulated drought stress treatments of sorbitol and abscisic acid (ABA), the transgenic tobacco with the AfWRKY20 gene showed enhanced drought resistance at the germination stage, with significantly increased germination rate, green leaf rate, fresh weight, and root length compared to the wild-type (WT) tobacco. In addition, the superoxide dismutase (SOD) activity, chlorophyll content, and Fv/Fm ratio of AfWRKY20 transgenic tobacco were significantly higher than those of the WT tobacco under natural drought stress, while the malondialdehyde (MDA) content and 3,3'-diaminobenzidine (DAB) and nitroblue tetrazolium (NBT) staining levels were lower. The expression levels of oxidation kinase genes (NbSOD, NbPOD, and NbCAT) in transgenic tobacco under drought stress were significantly higher than those in WT tobacco. This enhancement in gene expression improved the ability of transgenic tobacco to detoxify reactive oxygen species (ROS). The survival rate of transgenic tobacco after natural drought rehydration was four times higher than that of WT tobacco. In summary, this study revealed the regulatory mechanism of AfWRKY20 in response to drought stress-induced ABA signaling, particularly in relation to ROS. This finding provides a theoretical basis for understanding the pathways of WRKY20 involved in drought stress, and offers genetic resources for molecular plant breeding aimed at enhancing drought resistance.
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Affiliation(s)
- Danni Li
- Key Laboratory of the Ministry of Education for Ecological Restoration of Saline Vegetation, College of Life Sciences, Northeast Forestry University, Harbin 150040, China; (D.L.)
| | - Baoxiang Gu
- Key Laboratory of the Ministry of Education for Ecological Restoration of Saline Vegetation, College of Life Sciences, Northeast Forestry University, Harbin 150040, China; (D.L.)
| | - Chunxi Huang
- Northeast Asia Biodiversity Research Center, Northeast Forestry University, Harbin 150040, China
| | - Jiayi Shen
- Northeast Asia Biodiversity Research Center, Northeast Forestry University, Harbin 150040, China
| | - Xin Wang
- Key Laboratory of the Ministry of Education for Ecological Restoration of Saline Vegetation, College of Life Sciences, Northeast Forestry University, Harbin 150040, China; (D.L.)
| | - Jianan Guo
- Key Laboratory of the Ministry of Education for Ecological Restoration of Saline Vegetation, College of Life Sciences, Northeast Forestry University, Harbin 150040, China; (D.L.)
| | - Ruiqiang Yu
- Northeast Asia Biodiversity Research Center, Northeast Forestry University, Harbin 150040, China
| | - Sirui Mou
- Key Laboratory of the Ministry of Education for Ecological Restoration of Saline Vegetation, College of Life Sciences, Northeast Forestry University, Harbin 150040, China; (D.L.)
| | - Qingjie Guan
- Key Laboratory of the Ministry of Education for Ecological Restoration of Saline Vegetation, College of Life Sciences, Northeast Forestry University, Harbin 150040, China; (D.L.)
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Mandour H, Khazaei H, Stoddard FL, Dodd IC. Identifying physiological and genetic determinants of faba bean transpiration response to evaporative demand. ANNALS OF BOTANY 2023; 131:533-544. [PMID: 36655613 PMCID: PMC10072112 DOI: 10.1093/aob/mcad006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Accepted: 01/09/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND AND AIMS Limiting maximum transpiration rate (TR) under high vapour pressure deficit (VPD) works as a water conservation strategy. While some breeding programmes have incorporated this trait into some crops to boost yields in water-limited environments, its underlying physiological mechanisms and genetic regulation remain unknown for faba bean (Vicia faba). Thus, we aimed to identify genetic variation in the TR response to VPD in a population of faba bean recombinant inbred lines (RILs) derived from two parental lines with contrasting water use (Mélodie/2 and ILB 938/2). METHODS Plants were grown in well-watered soil in a climate-controlled glasshouse with diurnally fluctuating VPD and light conditions. Whole plant transpiration was measured in a gas exchange chamber that tightly regulated VPD around the shoot under constant light, while whole-plant hydraulic conductance and its components (root and stem hydraulic conductance) were calculated from dividing TR by water potential gradients measured with a pressure chamber. KEY RESULTS Although TR of Mélodie/2 increased linearly with VPD, ILB 938/2 limited its TR above 2.0 kPa. Nevertheless, Mélodie/2 had a higher leaf water potential than ILB 938/2 at both low (1.0 kPa) and high (3.2 kPa) VPD. Almost 90 % of the RILs limited their TR at high VPD with a break-point (BP) range of 1.5-3.0 kPa and about 10 % had a linear TR response to VPD. Thirteen genomic regions contributing to minimum and maximum transpiration, and whole-plant and root hydraulic conductance, were identified on chromosomes 1 and 3, while one locus associated with BP transpiration was identified on chromosome 5. CONCLUSIONS This study provides insight into the physiological and genetic control of transpiration in faba bean and opportunities for marker-assisted selection to improve its performance in water-limited environments.
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Affiliation(s)
- Hend Mandour
- Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK
- Genetic Engineering and Biotechnology Research Institute, National Research Centre, Giza, Egypt
| | - Hamid Khazaei
- Natural Resources Institute Finland (LUKE), Latokartanonkaari 9, 00790 Helsinki, Finland
| | - Frederick L Stoddard
- Department of Agricultural Sciences, Viikki Plant Science Centre and Helsinki Institute of Sustainability Science, PO Box 27 (Latokartanonkaari 5-7), FI-00014 University of Helsinki, Helsinki, Finland
| | - Ian C Dodd
- Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK
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Hou W, Zhang X, Liu Y, Liu Y, Feng BL. RNA-Seq and genetic diversity analysis of faba bean ( Vicia faba L.) varieties in China. PeerJ 2023; 11:e14259. [PMID: 36643650 PMCID: PMC9838209 DOI: 10.7717/peerj.14259] [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: 04/29/2022] [Accepted: 09/27/2022] [Indexed: 01/11/2023] Open
Abstract
Background Faba bean (Vicia faba L) is one of the most important legumes in the world. However, there is relatively little genomic information available for this species owing to its large genome. The lack of data impedes the discovery of molecular markers and subsequent genetic research in faba bean. The objective of this study was to analyze the faba bean transcriptome, and to develop simple sequence repeat (SSR) markers to determine the genetic diversity of 226 faba bean varieties derived from different regions in China. Methods Faba bean varieties with different phenotype were used in transcriptome analysis. The functions of the unigenes were analyzed using various database. SSR markers were developed and the polymorphic markers were selected to conduct genetic diversity analysis. Results A total of 92.43 Gb of sequencing data was obtained in this study, and 133,487 unigene sequences with a total length of 178,152,541 bp were assembled. A total of 5,200 SSR markers were developed on the basis of RNA-Seq analysis. Then, 200 SSR markers were used to evaluate polymorphisms. In total, 103 (51.5%) SSR markers showed significant and repeatable bands between different faba bean varieties. Clustering analysis revealed that 226 faba bean materials were divided into five groups. Genetic diversity analysis revealed that the relationship between different faba beans in China was related, especially in the same region. These results provided a valuable data resource for annotating genes to different categories and developing SSR markers.
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Affiliation(s)
- Wanwei Hou
- College of Agronomy, Northwest A&F University, Yangling, Shaanxi, China,Qinghai Academy of Agricultural and Forestry Sciences, Qinghai University, Xining, Qinghai, China
| | - Xiaojuan Zhang
- College of Eco-Environmental Engineering, Qinghai Universit, Xining, Qinghai, China
| | - Yuling Liu
- Qinghai Academy of Agricultural and Forestry Sciences, Qinghai University, Xining, Qinghai, China
| | - Yujiao Liu
- Qinghai Academy of Agricultural and Forestry Sciences, Qinghai University, Xining, Qinghai, China
| | - Bai li Feng
- College of Agronomy, Northwest A&F University, Yangling, Shaanxi, China
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Nishmitha K, Singh R, Dubey SC, Akthar J, Tripathi K, Kamil D. Resistance screening and in silico characterization of cloned novel RGA from multi-race resistant lentil germplasm against Fusarium wilt ( Fusarium oxysporum f. sp. lentis). FRONTIERS IN PLANT SCIENCE 2023; 14:1147220. [PMID: 37152180 PMCID: PMC10160667 DOI: 10.3389/fpls.2023.1147220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 03/03/2023] [Indexed: 05/09/2023]
Abstract
Fusarium wilt caused by Fusarium oxysporum f. sp. lentis (Fol) is the most devastating disease of lentil present worldwide. Identification of multi-race fusarium wilt resistance genes and their incorporation into existing cultivars will help to reduce yield losses. In the present study, 100 lentil germplasms belonging to seven lentil species were screened against seven prevalent races of Fol, and accessions IC201561 (Lens culinaris subsp. culinaris), EC714243 (L. c. subsp. odemensis), and EC718238 (L. nigricans) were identified as resistant. The typical R gene codes for the nucleotide-binding site and leucine-rich repeats (NBS-LRR) at the C terminal are linked to either the Toll/interleukin 1-like receptor (TIR) or coiled coil (CC) at the N terminal. In the present study, degenerate primers, designed from the NBS region amplifying the P-loop to the GLPLA motif, isolated forty-five resistance gene analogues (RGAs) from identified resistant accessions. The sequence alignment identified both classes of RGAs, TIR and non-TIR, based on the presence of aspartate (D) and tryptophan (W) at the end of the kinase motif, respectively. The phylogenetic analysis grouped the RGAs into six classes, from LRGA1 to LRGA6, which determined the diversity of the RGAs present in the host. Grouping of the RGAs identified from Lens nigricans, LnRGA 2, 9, 13 with I2 revealed the structural similarity with the fusarium resistance gene. The similarity index ranged from 27.85% to 86.98% among the RGAs and from 26.83% to 49.41% among the known R genes, I2, Gpa2, M, and L6. The active binding sites present along the conserved motifs grouped the RGAs into 13 groups. ADP/ATP, being the potential ligand, determines the ATP binding and ATP hydrolysis activity of the RGAs. The isolated RGAs can be used to develop markers linked to the functional R gene. Furthermore, expression analysis and full-length gene isolation pave the path to identifying the molecular mechanism involved in resistance.
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Affiliation(s)
- K. Nishmitha
- Division of Plant Pathology, ICAR-Indian Agricultural Research Institute, New Delhi, India
| | - Rakesh Singh
- Division of Genomic Resources, ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
- *Correspondence: Deeba Kamil, ; Rakesh Singh,
| | - Sunil C. Dubey
- Indian Council of Agricultural Research, New Delhi, India
| | - Jameel Akthar
- Division of Plant Quarantine, ICAR- National Bureau of Plant Genetic Resources, New Delhi, India
| | - Kuldeep Tripathi
- Division of Germplasm Evaluation, ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Deeba Kamil
- Division of Plant Pathology, ICAR-Indian Agricultural Research Institute, New Delhi, India
- *Correspondence: Deeba Kamil, ; Rakesh Singh,
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Ali A, Altaf MT, Nadeem MA, Karaköy T, Shah AN, Azeem H, Baloch FS, Baran N, Hussain T, Duangpan S, Aasim M, Boo KH, Abdelsalam NR, Hasan ME, Chung YS. Recent advancement in OMICS approaches to enhance abiotic stress tolerance in legumes. FRONTIERS IN PLANT SCIENCE 2022; 13:952759. [PMID: 36247536 PMCID: PMC9554552 DOI: 10.3389/fpls.2022.952759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 08/12/2022] [Indexed: 06/16/2023]
Abstract
The world is facing rapid climate change and a fast-growing global population. It is believed that the world population will be 9.7 billion in 2050. However, recent agriculture production is not enough to feed the current population of 7.9 billion people, which is causing a huge hunger problem. Therefore, feeding the 9.7 billion population in 2050 will be a huge target. Climate change is becoming a huge threat to global agricultural production, and it is expected to become the worst threat to it in the upcoming years. Keeping this in view, it is very important to breed climate-resilient plants. Legumes are considered an important pillar of the agriculture production system and a great source of high-quality protein, minerals, and vitamins. During the last two decades, advancements in OMICs technology revolutionized plant breeding and emerged as a crop-saving tool in wake of the climate change. Various OMICs approaches like Next-Generation sequencing (NGS), Transcriptomics, Proteomics, and Metabolomics have been used in legumes under abiotic stresses. The scientific community successfully utilized these platforms and investigated the Quantitative Trait Loci (QTL), linked markers through genome-wide association studies, and developed KASP markers that can be helpful for the marker-assisted breeding of legumes. Gene-editing techniques have been successfully proven for soybean, cowpea, chickpea, and model legumes such as Medicago truncatula and Lotus japonicus. A number of efforts have been made to perform gene editing in legumes. Moreover, the scientific community did a great job of identifying various genes involved in the metabolic pathways and utilizing the resulted information in the development of climate-resilient legume cultivars at a rapid pace. Keeping in view, this review highlights the contribution of OMICs approaches to abiotic stresses in legumes. We envisage that the presented information will be helpful for the scientific community to develop climate-resilient legume cultivars.
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Affiliation(s)
- Amjad Ali
- Faculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, Sivas, Turkey
| | - Muhammad Tanveer Altaf
- Faculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, Sivas, Turkey
| | - Muhammad Azhar Nadeem
- Faculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, Sivas, Turkey
| | - Tolga Karaköy
- Faculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, Sivas, Turkey
| | - Adnan Noor Shah
- Department of Agricultural Engineering, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan
| | - Hajra Azeem
- Department of Plant Pathology, Faculty of Agricultural Sciences & Technology, Bahauddin Zakariya University, Multan, Pakistan
| | - Faheem Shehzad Baloch
- Faculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, Sivas, Turkey
| | - Nurettin Baran
- Bitkisel Uretim ve Teknolojileri Bolumu, Uygulamali Bilimler Faku Itesi, Mus Alparslan Universitesi, Mus, Turkey
| | - Tajamul Hussain
- Laboratory of Plant Breeding and Climate Resilient Agriculture, Agricultural Innovation and Management Division, Faculty of Natural Resources, Prince of Songkla University, Hat Yai, Thailand
| | - Saowapa Duangpan
- Laboratory of Plant Breeding and Climate Resilient Agriculture, Agricultural Innovation and Management Division, Faculty of Natural Resources, Prince of Songkla University, Hat Yai, Thailand
| | - Muhammad Aasim
- Faculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, Sivas, Turkey
| | - Kyung-Hwan Boo
- Subtropical/Tropical Organism Gene Bank, Department of Biotechnology, College of Applied Life Science, Jeju National University, Jeju, South Korea
| | - Nader R. Abdelsalam
- Agricultural Botany Department, Faculty of Agriculture (Saba Basha), Alexandria University, Alexandria, Egypt
| | - Mohamed E. Hasan
- Bioinformatics Department, Genetic Engineering and Biotechnology Research Institute, University of Sadat City, Sadat City, Egypt
| | - Yong Suk Chung
- Department of Plant Resources and Environment, Jeju National University, Jeju, South Korea
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Singh D, Chaudhary P, Taunk J, Singh CK, Singh D, Tomar RSS, Aski M, Konjengbam NS, Raje RS, Singh S, Sengar RS, Yadav RK, Pal M. Fab Advances in Fabaceae for Abiotic Stress Resilience: From 'Omics' to Artificial Intelligence. Int J Mol Sci 2021; 22:10535. [PMID: 34638885 PMCID: PMC8509049 DOI: 10.3390/ijms221910535] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 09/17/2021] [Accepted: 09/23/2021] [Indexed: 11/16/2022] Open
Abstract
Legumes are a better source of proteins and are richer in diverse micronutrients over the nutritional profile of widely consumed cereals. However, when exposed to a diverse range of abiotic stresses, their overall productivity and quality are hugely impacted. Our limited understanding of genetic determinants and novel variants associated with the abiotic stress response in food legume crops restricts its amelioration. Therefore, it is imperative to understand different molecular approaches in food legume crops that can be utilized in crop improvement programs to minimize the economic loss. 'Omics'-based molecular breeding provides better opportunities over conventional breeding for diversifying the natural germplasm together with improving yield and quality parameters. Due to molecular advancements, the technique is now equipped with novel 'omics' approaches such as ionomics, epigenomics, fluxomics, RNomics, glycomics, glycoproteomics, phosphoproteomics, lipidomics, regulomics, and secretomics. Pan-omics-which utilizes the molecular bases of the stress response to identify genes (genomics), mRNAs (transcriptomics), proteins (proteomics), and biomolecules (metabolomics) associated with stress regulation-has been widely used for abiotic stress amelioration in food legume crops. Integration of pan-omics with novel omics approaches will fast-track legume breeding programs. Moreover, artificial intelligence (AI)-based algorithms can be utilized for simulating crop yield under changing environments, which can help in predicting the genetic gain beforehand. Application of machine learning (ML) in quantitative trait loci (QTL) mining will further help in determining the genetic determinants of abiotic stress tolerance in pulses.
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Affiliation(s)
- Dharmendra Singh
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India
| | - Priya Chaudhary
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India
| | - Jyoti Taunk
- Division of Plant Physiology, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India
| | - Chandan Kumar Singh
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India
| | - Deepti Singh
- Department of Botany, Meerut College, Meerut 250001, India
| | - Ram Sewak Singh Tomar
- College of Horticulture and Forestry, Rani Lakshmi Bai Central Agricultural University, Jhansi 284003, India
| | - Muraleedhar Aski
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India
| | - Noren Singh Konjengbam
- College of Post Graduate Studies in Agricultural Sciences, Central Agricultural University, Imphal 793103, India
| | - Ranjeet Sharan Raje
- Division of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India
| | - Sanjay Singh
- ICAR- National Institute of Plant Biotechnology, LBS Centre, Pusa Campus, New Delhi 110012, India
| | - Rakesh Singh Sengar
- College of Biotechnology, Sardar Vallabh Bhai Patel Agricultural University, Meerut 250001, India
| | - Rajendra Kumar Yadav
- Department of Genetics and Plant Breeding, Chandra Shekhar Azad University of Agriculture and Technology, Kanpur 208002, India
| | - Madan Pal
- Division of Plant Physiology, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India
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Khazaei H, O'Sullivan DM, Stoddard FL, Adhikari KN, Paull JG, Schulman AH, Andersen SU, Vandenberg A. Recent advances in faba bean genetic and genomic tools for crop improvement. LEGUME SCIENCE 2021; 3:e75. [PMID: 34977588 PMCID: PMC8700193 DOI: 10.1002/leg3.75] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 01/10/2021] [Accepted: 02/02/2021] [Indexed: 05/04/2023]
Abstract
Faba bean (Vicia faba L.), a member of the Fabaceae family, is one of the important food legumes cultivated in cool temperate regions. It holds great importance for human consumption and livestock feed because of its high protein content, dietary fibre, and nutritional value. Major faba bean breeding challenges include its mixed breeding system, unknown wild progenitor, and genome size of ~13 Gb, which is the largest among diploid field crops. The key breeding objectives in faba bean include improved resistance to biotic and abiotic stress and enhanced seed quality traits. Regarding quality traits, major progress on reduction of vicine-convicine and seed coat tannins, the main anti-nutritional factors limiting faba bean seed usage, have been recently achieved through gene discovery. Genomic resources are relatively less advanced compared with other grain legume species, but significant improvements are underway due to a recent increase in research activities. A number of bi-parental populations have been constructed and mapped for targeted traits in the last decade. Faba bean now benefits from saturated synteny-based genetic maps, along with next-generation sequencing and high-throughput genotyping technologies that are paving the way for marker-assisted selection. Developing a reference genome, and ultimately a pan-genome, will provide a foundational resource for molecular breeding. In this review, we cover the recent development and deployment of genomic tools for faba bean breeding.
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Affiliation(s)
- Hamid Khazaei
- Department of Plant SciencesUniversity of SaskatchewanSaskatoonSaskatchewanCanada
| | | | - Frederick L. Stoddard
- Department of Agricultural Sciences, Viikki Plant Science Centre, and Helsinki Sustainability Science CentreUniversity of HelsinkiHelsinkiFinland
| | - Kedar N. Adhikari
- Plant Breeding Institute, Faculty of ScienceThe University of SydneyNarrabriNew South WalesAustralia
| | - Jeffrey G. Paull
- School of Agriculture, Food and WineThe University of AdelaideAdelaideSouth AustraliaAustralia
| | - Alan H. Schulman
- Production SystemsNatural Resources Institute Finland (Luke)HelsinkiFinland
- Institute of Biotechnology and Viikki Plant Science CentreUniversity of HelsinkiHelsinkiFinland
| | - Stig U. Andersen
- Department of Molecular Biology and GeneticsAarhus UniversityAarhusDenmark
| | - Albert Vandenberg
- Department of Plant SciencesUniversity of SaskatchewanSaskatoonSaskatchewanCanada
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Khalifa KA, Ibrahim SD, El-Garhy HAS, Moustafa MMM, Maalouf F, Alsamman AM, Hamwieh A, El Allali A. Developing a new genic SSR primer database in faba bean (Vicia faba L.). J Appl Genet 2021; 62:373-387. [PMID: 33755893 DOI: 10.1007/s13353-021-00626-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 02/20/2021] [Accepted: 02/26/2021] [Indexed: 11/24/2022]
Abstract
The goal of this research was to develop a new genetic database of simple sequence repetition (SSR) primers for faba and classify them according to their target genes and respective biological processes. Approximately 75,605 and 148,196 previously published genomic and transcriptomic faba sequences, respectively, have been used to detect possible SSRs. The numbers of identified SSRs from each dataset were 25,502 and 12,319, respectively. The distribution of different repeat classes indicated that trinucleotides represent the largest number of repeat counts, followed by dinucleotides. The extracted genic SSR sequences were used to design 1091 polymerase chain reaction (PCR) primers, of which only 238 (21.8%) primers target genomic sequences and the other 853 PCR primers targeted transcriptomic sequences. The annotation of gene-targeted SSRs showed that approximately 897 genes were targeted by our SSR primers. Approximately 1890 gene ontology (GO) identification codes have been obtained. The GO keywords were distributed among distinct molecular cell features. The highest redundancies involved 554 technical words, 196 domains, and 160 molecular feature phrases. These GO codes belonged to the general level of GO and included molecular function, cellular component, and biological process (544, 670, and 676 GOs, respectively). Twenty-seven SSR PCR primers were synthesized to 12 Egyptian faba bean genotypes. Approximately 11 SSR provided one to two PCR bands, whereas other SSRs provided only one sharp band with polymorphic band size. There were 13 polymorphic primers. The polymorphism information content was 0.3, which implied moderate informativeness.
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Affiliation(s)
- Kareem A Khalifa
- Agricultural Genetic Engineering Research Institute, PO Box 12619, Giza, Egypt
| | - Shafik D Ibrahim
- Agricultural Genetic Engineering Research Institute, PO Box 12619, Giza, Egypt
| | - Hoda A S El-Garhy
- Department of Genetics and Genetic Engineering, Faculty of Agricultural, Benha University, Benha, Egypt
| | - Mahmoud M M Moustafa
- Department of Genetics and Genetic Engineering, Faculty of Agricultural, Benha University, Benha, Egypt
| | - Fouad Maalouf
- International Center for Agricultural Research in the Dry Areas (ICARDA) , Terbol, Lebanon
| | - Alsamman M Alsamman
- Agricultural Genetic Engineering Research Institute, PO Box 12619, Giza, Egypt
| | - Aladdin Hamwieh
- International Center for Agricultural Research in the Dry Areas (ICARDA), PO Box 2416, Cairo, Egypt
| | - Achraf El Allali
- African Genome Center, Mohammed VI Polytechnic University, Ben Guerir, Morocco.
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Wu X, Fan Y, Li L, Liu Y. The influence of soil drought stress on the leaf transcriptome of faba bean ( Vicia faba L.) in the Qinghai-Tibet Plateau. 3 Biotech 2020; 10:381. [PMID: 32802723 PMCID: PMC7413945 DOI: 10.1007/s13205-020-02374-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Accepted: 07/31/2020] [Indexed: 12/18/2022] Open
Abstract
Water deficit has a significant impact on growth, development and yield of fava bean (Vicia fava L.) in arid and semi-arid climates. The aim of this study was to identify differentially expressed genes in the Qinghai 13 genotype under soil drought through leaf transcriptome analysis. A total of 256.95 M clean reads were obtained and assembled into 176334 unigenes, with an average length of 766 bp. A total of 9126 (4439 upregulated and 4687 downregulated) differentially expressed genes (DEGs) were identified in faba bean leaves under soil drought. In total, 324 putative transcription factors were identified and classified as belonging to different transcription factor families. According to GO and KEGG analysis, the soil drought stress-inducible DEGs encoded proteins mainly involved in regulating photosynthesis, osmotic adjustment, detoxification, autophagy and other functions. In addition, a large portion of DEGs appeared to be novel because they could not be annotated in any functional databases, therefore, suggesting a specific response to soil drought in faba bean. Finally, RNA-seq analysis was validated by quantitative reverse-transcription PCR analysis. This work provides comprehensive and valuable information for understanding the molecular mechanisms which faba bean uses to respond to soil drought.
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Affiliation(s)
- Xuexia Wu
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai Academy of Agricultural and Forestry Sciences, Qinghai University, Ningda Road No. 251, Xining, 810016 Qinghai China
| | - Youcun Fan
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai Academy of Agricultural and Forestry Sciences, Qinghai University, Ningda Road No. 251, Xining, 810016 Qinghai China
| | - Lanping Li
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai Academy of Agricultural and Forestry Sciences, Qinghai University, Ningda Road No. 251, Xining, 810016 Qinghai China
| | - Yujiao Liu
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai Academy of Agricultural and Forestry Sciences, Qinghai University, Ningda Road No. 251, Xining, 810016 Qinghai China
- Qinghai Research Station of Crop Gene Resource & Germplasm Enhancement, Ministry of Agriculture, Xining, 810016 Qinghai China
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Zhu Z, Chen H, Xie K, Liu C, Li L, Liu L, Han X, Jiao C, Wan Z, Sha A. Characterization of Drought-Responsive Transcriptome During Seed Germination in Adzuki Bean ( Vigna angularis L.) by PacBio SMRT and Illumina Sequencing. Front Genet 2020; 11:996. [PMID: 33110419 PMCID: PMC7489039 DOI: 10.3389/fgene.2020.00996] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Accepted: 08/05/2020] [Indexed: 11/13/2022] Open
Abstract
The full-length single-molecular sequencing and short reads Illumina sequencing were combined to generate the transcripts of adzuki bean with high-quality. A total of 17,636 loci and 60,454 transcripts were detected in this study. To characterize the drought-responsive genes during seed germination in adzuki bean, two varieties, i.e., tolerant and sensitive to drought stress, were selected to conduct analysis of alternative splicing dynamics (AS) and differentially expressed genes (DEGs) by combining the newly assembled draft genome and public adzuki bean reference genome. AS analysis indicated that both the two varieties underwent a little more AS events under control conditions than under drought stress. Among the AS events, IR (intron retention) predominately accounted for 34.3%, whereas AD (alternative donor site) was the least frequent with 15.8%. Meanwhile, 562 long non-coding RNAs, 409 fusion genes and 1208 transcription factors were identified. Moreover, a total of 5,337 DEGs were identified in comparison of the two varieties with drought or control treatments. Notably, 82 DEGs were discovered in the two varieties under drought stress, which might be the candidate in regulation of seed germination to answer for different drought tolerance. The DEGs encoded proteins involved in primary or second metabolism, plant hormone signal transduction, transcript or translation processes, ubiquitin proteasome system, transcription factor, transporters, and so on. The results facilitate to increase the knowledge about the mechanism of drought tolerance during crop seed germination, and provide reference for the breeding of drought-tolerant adzuki bean.
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Affiliation(s)
- Zhenzhen Zhu
- Hubei Collaborative Innovation Center for Grain Industry/Engineering Research Center of Ecology and Agricultural Use of Wetland of Ministry of Education, Yangtze University, Jingzhou, China
| | - Hongwei Chen
- Institute of Food Crops, Hubei Academy of Agricultural Sciences/Hubei Key Laboratory of Food Crop Germplasm and Genetic, Wuhan, China
| | - Ke Xie
- Zhongzhi International Institute of Agricultural Biosciences, Biology and Agriculture Research Center, University of Science and Technology Beijing, Beijing, China
| | - Changyan Liu
- Institute of Food Crops, Hubei Academy of Agricultural Sciences/Hubei Key Laboratory of Food Crop Germplasm and Genetic, Wuhan, China
| | - Li Li
- Institute of Food Crops, Hubei Academy of Agricultural Sciences/Hubei Key Laboratory of Food Crop Germplasm and Genetic, Wuhan, China
| | - Liangjun Liu
- Institute of Food Crops, Hubei Academy of Agricultural Sciences/Hubei Key Laboratory of Food Crop Germplasm and Genetic, Wuhan, China
| | - Xuesong Han
- Institute of Food Crops, Hubei Academy of Agricultural Sciences/Hubei Key Laboratory of Food Crop Germplasm and Genetic, Wuhan, China
| | - Chunhai Jiao
- Institute of Food Crops, Hubei Academy of Agricultural Sciences/Hubei Key Laboratory of Food Crop Germplasm and Genetic, Wuhan, China
| | - Zhenghuang Wan
- Institute of Food Crops, Hubei Academy of Agricultural Sciences/Hubei Key Laboratory of Food Crop Germplasm and Genetic, Wuhan, China
| | - Aihua Sha
- Hubei Collaborative Innovation Center for Grain Industry/Engineering Research Center of Ecology and Agricultural Use of Wetland of Ministry of Education, Yangtze University, Jingzhou, China
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Afzal M, Alghamdi SS, Migdadi HH, Khan MA, Nurmansyah, Mirza SB, El-Harty E. Legume genomics and transcriptomics: From classic breeding to modern technologies. Saudi J Biol Sci 2019; 27:543-555. [PMID: 31889880 PMCID: PMC6933173 DOI: 10.1016/j.sjbs.2019.11.018] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 11/16/2019] [Accepted: 11/17/2019] [Indexed: 02/06/2023] Open
Abstract
Legumes are essential and play a significant role in maintaining food standards and augmenting physiochemical soil properties through the biological nitrogen fixation process. Biotic and abiotic factors are the main factors limiting legume production. Classical breeding methodologies have been explored extensively about the problem of truncated yield in legumes but have not succeeded at the desired rate. Conventional breeding improved legume genotypes but with more resources and time. Recently, the invention of next-generation sequencing (NGS) and high-throughput methods for genotyping have opened new avenues for research and developments in legume studies. During the last decade, genome sequencing for many legume crops documented. Sequencing and re-sequencing of important legume species have made structural variation and functional genomics conceivable. NGS and other molecular techniques such as the development of markers; genotyping; high density genetic linkage maps; quantitative trait loci (QTLs) identification, expressed sequence tags (ESTs), single nucleotide polymorphisms (SNPs); and transcription factors incorporated into existing breeding technologies have made possible the accurate and accelerated delivery of information for researchers. The application of genome sequencing, RNA sequencing (transcriptome sequencing), and DNA sequencing (re-sequencing) provide considerable insights for legume development and improvement programs. Moreover, RNA-Seq helps to characterize genes, including differentially expressed genes, and can be applied for functional genomics studies, especially when there is limited information available for the studied genomes. Genome-based crop development studies and the availability of genomics data as well as decision-making gears look be specific for breeding programs. This review mainly presents an overview of the path from classical breeding to new emerging genomics tools, which will trigger and accelerate genomics-assisted breeding for recognition of novel genes for yield and quality characters for sustainable legume crop production.
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Affiliation(s)
- Muhammad Afzal
- Department of Plant Production, College of Food and Agricultural Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Salem S Alghamdi
- Department of Plant Production, College of Food and Agricultural Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Hussein H Migdadi
- Department of Plant Production, College of Food and Agricultural Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Muhammad Altaf Khan
- Department of Plant Production, College of Food and Agricultural Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Nurmansyah
- Department of Plant Production, College of Food and Agricultural Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Shaher Bano Mirza
- Computational Biology and Molecular Simulations Laboratory, Department of Biophysics, School of Medicine, Bahcesehir University (BAU), Istanbul, Turkey.,Department of Biosciences, COMSATS Institute of Information Technology (CIIT), Chak Shahzad, Islamabad, Pakistan
| | - Ehab El-Harty
- Department of Plant Production, College of Food and Agricultural Sciences, King Saud University, Riyadh, Saudi Arabia
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Transcriptome-based analysis of carotenoid accumulation-related gene expression in petals of Chinese cabbage ( Brassica rapa L.). 3 Biotech 2019; 9:274. [PMID: 31245238 DOI: 10.1007/s13205-019-1813-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Accepted: 06/13/2019] [Indexed: 12/15/2022] Open
Abstract
To identify genes associated with carotenoid accumulation in petals of Chinese cabbage, the composition and content of carotenoids were analyzed, and comparative transcriptome sequencing was performed between the yellow flower line, 92S105, and the orange flower line, 94C9. High-performance liquid chromatography (HPLC) revealed that petals of 92S105 were high in violaxanthin as well as lutein, whereas petals of 94C9 showed considerable levels of lutein and β-carotene. Transcriptome analysis showed that 3534 and 3833 genes were up- and down-regulated in 94C9, respectively. Among these differentially expressed genes (DEGs), many related to carotenoid accumulation were identified, including 12 carotenoid biosynthesis pathway genes, 4 transcription factor genes, and 1028 specifically expressed genes. β-carotene hydroxylase 1 (BrBCH1), BrBCH2, zeaxanthin epoxidase (BrZEP), and MYB transcription factor gene (BrGAMYB) were down-regulated in petals of 94C9 when compared with petals of 92S105, which caused β-carotene accumulation and may lead to orange petal color in 94C9. Expression levels of 20 DEGs were verified by qPCR and the results were highly consistent with those of transcriptome sequencing. Moreover, Gene Ontology (GO) enrichment analysis revealed that membrane, binding, and metabolic processes were the most significantly enriched GO terms in cellular component, molecular function, and biological process ontologies, respectively. In conclusion, our study analyzed the differences in composition and content of carotenoids between 92S105 and 94C9 and identified potential candidate genes related to carotenoid accumulation in petals, thereby creating a solid foundation for future studies on the mechanism regulating carotenoid accumulation in petals of Chinese cabbage.
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