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Liu J, Zheng W, Wang W, Yang X, Huang Y, Cui P, Ma Z, Zeng X, Zhai R, Weng X, Wu W, Zhang X. Identification of AGO2 and PLEC genes polymorphisms in Hu sheep and their relationship with body size traits. Anim Biotechnol 2024; 35:2295926. [PMID: 38149679 DOI: 10.1080/10495398.2023.2295926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2023]
Abstract
The body size traits are major traits in livestock, which intuitively displays the development of the animal's bones and muscles. This study used PCR amplification, Sanger sequencing, KASPar genotyping, and quantitative real-time reverse transcription PCR (qRT-PCR) to analyze the Single-nucleotide polymorphism and expression characteristics of Argonaute RISC catalytic component 2 (AGO2) and Plectin (PLEC) genes in Hu sheep. Two intron mutations were found in Hu sheep, which were AGO2 g.51700 A > C and PLEC g.23157 C > T, respectively. Through association analysis of two mutation sites and body size traits, it was found that AGO2 g.51700 A > C mainly affects the chest and cannon circumference of Hu sheep of while PLEC g.23157 C mainly affects body height and body length. The combined genotypes of AGO2 and PLEC genes with body size traits showed SNPs at the AGO2 g.51700 A > C and PLEC g.23157 C > T loci significantly improved the body size traits of Hu sheep. In addition, the AGO2 gene has the highest expression levels in the heart, rumen, and tail fat, and the PLEC gene is highly expressed in the heart. These two loci can provide new research ideas for improving the body size traits of Hu sheep.
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Affiliation(s)
- Jia Liu
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Wenxin Zheng
- Institute of Animal Husbandry Quality Standards, Xinjiang Academy of Animal Sciences, Urumqi, Xinjiang, China
| | - Weimin Wang
- The State Key Laboratory of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Xiaobin Yang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Yongliang Huang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Panpan Cui
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Zongwu Ma
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Xiwen Zeng
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Rui Zhai
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Xiuxiu Weng
- The State Key Laboratory of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Weiwei Wu
- Institute of Animal Science, Xinjiang Academy of Animal Sciences, Urumqi, Xinjiang, China
| | - Xiaoxue Zhang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
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Guadarrama-Escobar LM, Hunt J, Gurung A, Zarco-Tejada PJ, Shabala S, Camino C, Hernandez P, Pourkheirandish M. Back to the future for drought tolerance. New Phytol 2024; 242:372-383. [PMID: 38429882 DOI: 10.1111/nph.19619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 01/22/2024] [Indexed: 03/03/2024]
Abstract
Global agriculture faces increasing pressure to produce more food with fewer resources. Drought, exacerbated by climate change, is a major agricultural constraint costing the industry an estimated US$80 billion per year in lost production. Wild relatives of domesticated crops, including wheat (Triticum spp.) and barley (Hordeum vulgare L.), are an underutilized source of drought tolerance genes. However, managing their undesirable characteristics, assessing drought responses, and selecting lines with heritable traits remains a significant challenge. Here, we propose a novel strategy of using multi-trait selection criteria based on high-throughput spectral images to facilitate the assessment and selection challenge. The importance of measuring plant capacity for sustained carbon fixation under drought stress is explored, and an image-based transpiration efficiency (iTE) index obtained via a combination of hyperspectral and thermal imaging, is proposed. Incorporating iTE along with other drought-related variables in selection criteria will allow the identification of accessions with diverse tolerance mechanisms. A comprehensive approach that merges high-throughput phenotyping and de novo domestication is proposed for developing drought-tolerant prebreeding material and providing breeders with access to gene pools containing unexplored drought tolerance mechanisms.
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Affiliation(s)
- Luis M Guadarrama-Escobar
- School of Agriculture, Food and Ecosystem Sciences (SAFES), University of Melbourne, Melbourne, Vic., 3010, Australia
| | - James Hunt
- School of Agriculture, Food and Ecosystem Sciences (SAFES), University of Melbourne, Melbourne, Vic., 3010, Australia
| | - Allison Gurung
- School of Agriculture, Food and Ecosystem Sciences (SAFES), University of Melbourne, Melbourne, Vic., 3010, Australia
| | - Pablo J Zarco-Tejada
- School of Agriculture, Food and Ecosystem Sciences (SAFES), University of Melbourne, Melbourne, Vic., 3010, Australia
- Department of Infrastructure Engineering (IE), Faculty of Engineering and Information Technology (FEIT), University of Melbourne, Melbourne, Vic., 3010, Australia
- Institute for Sustainable Agriculture (IAS), Spanish Council for Scientific Research (CSIC), Cordoba, 14004, Spain
| | - Sergey Shabala
- School of Biological Sciences, University of Western Australia, Perth, WA, 6009, Australia
- International Research Centre for Environmental Membrane Biology, Foshan University, Foshan, 528000, China
| | - Carlos Camino
- Joint Research Centre (JRC), European Commission (EC), Ispra, 21027, Italy
| | - Pilar Hernandez
- Institute for Sustainable Agriculture (IAS), Spanish Council for Scientific Research (CSIC), Cordoba, 14004, Spain
| | - Mohammad Pourkheirandish
- School of Agriculture, Food and Ecosystem Sciences (SAFES), University of Melbourne, Melbourne, Vic., 3010, Australia
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3
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Kong W, Huang H, Du W, Jiang Z, Luo Y, Yi D, Yang G, Pang Y. Overexpression of MsNIP2 improves salinity tolerance in Medicago sativa. J Plant Physiol 2024; 295:154207. [PMID: 38430574 DOI: 10.1016/j.jplph.2024.154207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Revised: 02/24/2024] [Accepted: 02/24/2024] [Indexed: 03/04/2024]
Abstract
Alfalfa (Medicago sativa) is one of the most widely cultivated forage crops in the world. However, alfalfa yield and quality are adversely affected by salinity stress. Nodulin 26-like intrinsic proteins (NIPs) play essential roles in water and small molecules transport and response to salt stress. Here, we isolated a salt stress responsive MsNIP2 gene and demonstrated its functions by overexpression in alfalfa. The open reading frame of MsNIP2 is 816 bp in length, and it encodes 272 amino acids. It has six transmembrane domains and two NPA motifs. MsNIP2 showed high identity to other known NIP proteins, and its tertiary model was similar to the crystal structure of OsNIP2-1 (7cjs) tetramer. Subcellular localization analysis showed that MsNIP2 protein fused with green fluorescent protein (GFP) was localized to the plasma membrane. Transgenic alfalfa lines overexpressing MsNIP2 showed significantly higher height and branch number compared with the non-transgenic control. The POD and CAT activity of the transgenic alfalfa lines was significantly increased and their MDA content was notably reduced compared with the control group under the treatment of NaCl. The transgenic lines showed higher capability in scavenging oxygen radicals with lighter NBT staining than the control under salt stress. The transgenic lines showed relative lower water loss rate and electrolyte leakage, but relatively higher Na+ content than the control line under salt stress. The relative expression levels of abiotic-stress-related genes (MsHSP23, MsCOR47, MsATPase, and MsRD2) in three transgenic lines were compared with the control, among them, only the expression of MsCOR47 was up-regulated. Consequently, this study offers a novel perspective for exploring the function of MsNIP2 in improving salt tolerance of alfalfa.
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Affiliation(s)
- Weiye Kong
- Grassland Agri-Husbandry Research Center, College of Grassland Science, Qingdao Agricultural University, Qingdao, China; Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Haijun Huang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Wenxuan Du
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Zhihu Jiang
- West Arid Region Grassland Resource and Ecology Key Laboratory, College of Grassland and Environmental Sciences, Xinjiang Agricultural University, Urumqi, 830052, China
| | - Yijing Luo
- Grassland Agri-Husbandry Research Center, College of Grassland Science, Qingdao Agricultural University, Qingdao, China
| | - Dengxia Yi
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
| | - Guofeng Yang
- Grassland Agri-Husbandry Research Center, College of Grassland Science, Qingdao Agricultural University, Qingdao, China.
| | - Yongzhen Pang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
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Diya F, Rahioui I, Vallier A, Benhamou S, Sivignon C, Kfoury L, Rizk F, Da Silva P. Vicia sativa subsp. sativa native to the Middle East comprises Pea Albumin1 b-like homologs: A promising natural biopesticide. Heliyon 2024; 10:e26903. [PMID: 38439846 PMCID: PMC10909718 DOI: 10.1016/j.heliyon.2024.e26903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Revised: 02/08/2024] [Accepted: 02/21/2024] [Indexed: 03/06/2024] Open
Abstract
The extensive and indiscriminate use of chemical pesticides in agriculture has led to adverse effects on human health, environmental pollution, and the emergence of pesticide-resistant pests. To mitigate these challenges, the development of environmentally friendly alternatives is crucial, with biopesticides emerging as promising solutions such as peptides. Legume seeds naturally contain diverse insecticidal peptides or proteins to combat pest attacks. One such peptide is PA1b (Pea Albumin 1, subunit b), a 37 amino acid extracted from pea seeds (Pisum sativum). PA1b has shown significant potential in controlling cereal weevils (Sitophilus spp.), a major pest of stored cereals. Here, we screened PA1b-like peptides in five wild seeds of vetches (Vicia sativa subsp. sativa) from the Middle East. Using a comprehensive set of biochemical, biological, and molecular techniques, we characterized different PA1b homologs and assessed their toxicity and expression profiles. Our results reveal that PA1b homolog from Vicia sativa subsp. sativa originating from turkey displays outstanding insecticidal activity against Sitophilus oryzae through binding to the receptor site found in the midgut of the insect. Moreover, it exhibits a strong cytotoxic effect against Sf9 cells. This cysteine-rich peptide shows sequence identity and the same hydrophobic pole as AG41, a tenfold more toxic isoform of PA1b from Medicago truncatula. Such observations pave the way for the development of bioinsecticides, with PA1b-like peptides as lead compounds.
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Affiliation(s)
- F. Diya
- INSA Lyon, INRAE, BF2I, UMR203, 69621 Villeurbanne, France
- Lebanese University, Faculty of Sciences, Biology Department, Laboratoire d’Innovation Therapeutique, Fanar, Lebanon
- Lebanese University, Faculty of Agronomy, Plant Protection Department, Dekwaneh, Lebanon
| | - I. Rahioui
- INSA Lyon, INRAE, BF2I, UMR203, 69621 Villeurbanne, France
- INRAE, INSA Lyon, BF2I, UMR203, 69621 Villeurbanne, France
| | - A. Vallier
- INSA Lyon, INRAE, BF2I, UMR203, 69621 Villeurbanne, France
- INRAE, INSA Lyon, BF2I, UMR203, 69621 Villeurbanne, France
| | - S. Benhamou
- INSA Lyon, INRAE, BF2I, UMR203, 69621 Villeurbanne, France
| | - C. Sivignon
- INSA Lyon, INRAE, BF2I, UMR203, 69621 Villeurbanne, France
- INRAE, INSA Lyon, BF2I, UMR203, 69621 Villeurbanne, France
| | - L. Kfoury
- Lebanese University, Faculty of Agronomy, Plant Protection Department, Dekwaneh, Lebanon
| | - F. Rizk
- Lebanese University, Faculty of Sciences, Biology Department, Laboratoire d’Innovation Therapeutique, Fanar, Lebanon
| | - P. Da Silva
- INSA Lyon, INRAE, BF2I, UMR203, 69621 Villeurbanne, France
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Gupta A, Kumar M, Zhang B, Tomar M, Walia AK, Choyal P, Saini RP, Potkule J, Burritt DJ, Sheri V, Verma P, Chandran D, Tran LSP. Improvement of qualitative and quantitative traits in cotton under normal and stressed environments using genomics and biotechnological tools: A review. Plant Sci 2024; 340:111937. [PMID: 38043729 DOI: 10.1016/j.plantsci.2023.111937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 10/29/2023] [Accepted: 11/29/2023] [Indexed: 12/05/2023]
Abstract
Due to the increasing demand for high-quality and high fiber-yielding cotton (Gossypium spp.), research into the development of stress-resilient cotton cultivars has acquired greater significance. Various biotic and abiotic stressors greatly affect cotton production and productivity, posing challenges to the future of the textile industry. Moreover, the content and quality of cottonseed oil can also potentially be influenced by future environmental conditions. Apart from conventional methods, genetic engineering has emerged as a potential tool to improve cotton fiber quality and productivity. Identification and modification of genome sequences and the expression levels of yield-related genes using genetic engineering approaches have enabled to increase both the quality and yields of cotton fiber and cottonseed oil. Herein, we evaluate the significance and molecular mechanisms associated with the regulation of cotton agronomic traits under both normal and stressful environmental conditions. In addition, the importance of gossypol, a toxic phenolic compound in cottonseed that can limit consumption by animals and humans, is reviewed and discussed.
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Affiliation(s)
- Aarti Gupta
- Department of Life Sciences, POSTECH Biotech Center, Pohang University of Science and Technology, Pohang, Republic of Korea; Institute of Genomics for Crop Abiotic Stress Tolerance, Department of Plant and Soil Science, Texas Tech University, Lubbock, TX 79409, USA
| | - Manoj Kumar
- Chemical and Biochemical Processing Division, ICAR-Central Institute for Research on Cotton Technology, Mumbai, India.
| | - Baohong Zhang
- Department of Biology, East Carolina University, Greenville, NC 27858, USA
| | - Maharishi Tomar
- ICAR - Indian Grassland and Fodder Research Institute, Jhansi, India
| | | | - Prince Choyal
- ICAR - Indian Institute of Soybean Research, Indore 452001, India
| | | | - Jayashree Potkule
- Chemical and Biochemical Processing Division, ICAR-Central Institute for Research on Cotton Technology, Mumbai, India
| | - David J Burritt
- Department of Botany, University of Otago, Dunedin, New Zealand
| | - Vijay Sheri
- Department of Biology, East Carolina University, Greenville, NC 27858, USA
| | - Pooja Verma
- ICAR - Central Institute for Cotton Research, Nagpur, India
| | - Deepak Chandran
- Department of Animal Husbandry, Government of Kerala, Palakkad 679335, Kerala, India
| | - Lam-Son Phan Tran
- Institute of Genomics for Crop Abiotic Stress Tolerance, Department of Plant and Soil Science, Texas Tech University, Lubbock, TX 79409, USA.
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6
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Majidian P, Ghorbani HR, Farajpour M. Achieving agricultural sustainability through soybean production in Iran: Potential and challenges. Heliyon 2024; 10:e26389. [PMID: 38404839 PMCID: PMC10884498 DOI: 10.1016/j.heliyon.2024.e26389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 01/17/2024] [Accepted: 02/12/2024] [Indexed: 02/27/2024] Open
Abstract
The utilization of soybean as a key oil crop to enhance sustainable agriculture has garnered significant attention from researchers. Its lower water requirements compared to rice, along with its reduced environmental impact, including greenhouse gas emissions, improved water quality, enhanced biodiversity, and efficient resource utilization, make it an attractive option. Unfortunately, Iran, like many other developing countries, heavily relies on soybean imports (over 90%) to meet the demand for oil and protein in human and livestock food rations. The decline in soybean production, coupled with diminishing cultivation areas, yield rates, and increasing import needs, underscores the urgent need to address the challenges faced in Iran. The decline in soybean production in the country can be attributed to various factors, including environmental stresses (both biotic and abiotic), limited variation in soybean cultivars, inadequate mechanization for cultivation, and economic policies. Hence, this review provides a comprehensive overview of the current status of soybean production in Iran and highlights its potential to enhance sustainable agriculture. Additionally, it examines the challenges and constraints associated with soybean cultivation, such as environmental changes and unbalanced marketing, and explores potential solutions and management strategies to bridge the gap between small-scale and large-scale production. Given the increasing global demand for plant-based protein and the significance of the feed industry, studying the limitations faced by countries with slower soybean production growth can shed light on the issues and present opportunities to capitalize on novel soybean advancements in the future. By addressing these challenges and unlocking the potential of soybean cultivation, Iran can contribute to sustainable agricultural practices and attain a more resilient food system.
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Affiliation(s)
- Parastoo Majidian
- Crop and Horticultural Science Research Department, Mazandaran Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Sari, Iran
| | - Hamid Reza Ghorbani
- Crop and Horticultural Science Research Department, Mazandaran Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Sari, Iran
| | - Mostafa Farajpour
- Crop and Horticultural Science Research Department, Mazandaran Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Sari, Iran
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Nadeem S, Riaz Ahmed S, Luqman T, Tan DKY, Maryum Z, Akhtar KP, Muhy Ud Din Khan S, Tariq MS, Muhammad N, Khan MKR, Liu Y. A comprehensive review on Gossypium hirsutum resistance against cotton leaf curl virus. Front Genet 2024; 15:1306469. [PMID: 38440193 PMCID: PMC10909863 DOI: 10.3389/fgene.2024.1306469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 02/01/2024] [Indexed: 03/06/2024] Open
Abstract
Cotton (Gossypium hirsutum L.) is a significant fiber crop. Being a major contributor to the textile industry requires continuous care and attention. Cotton is subjected to various biotic and abiotic constraints. Among these, biotic factors including cotton leaf curl virus (CLCuV) are dominant. CLCuV is a notorious disease of cotton and is acquired, carried, and transmitted by the whitefly (Bemisia tabaci). A cotton plant affected with CLCuV may show a wide range of symptoms such as yellowing of leaves, thickening of veins, upward or downward curling, formation of enations, and stunted growth. Though there are many efforts to protect the crop from CLCuV, long-term results are not yet obtained as CLCuV strains are capable of mutating and overcoming plant resistance. However, systemic-induced resistance using a gene-based approach remained effective until new virulent strains of CLCuV (like Cotton Leaf Curl Burewala Virus and others) came into existence. Disease control by biological means and the development of CLCuV-resistant cotton varieties are in progress. In this review, we first discussed in detail the evolution of cotton and CLCuV strains, the transmission mechanism of CLCuV, the genetic architecture of CLCuV vectors, and the use of pathogen and nonpathogen-based approaches to control CLCuD. Next, we delineate the uses of cutting-edge technologies like genome editing (with a special focus on CRISPR-Cas), next-generation technologies, and their application in cotton genomics and speed breeding to develop CLCuD resistant cotton germplasm in a short time. Finally, we delve into the current obstacles related to cotton genome editing and explore forthcoming pathways for enhancing precision in genome editing through the utilization of advanced genome editing technologies. These endeavors aim to enhance cotton's resilience against CLCuD.
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Affiliation(s)
- Sahar Nadeem
- Nuclear Institute for Agriculture and Biology College, Pakistan Institute of Engineering and Applied Sciences (NIAB-C, PIEAS), Faisalabad, Pakistan
| | - Syed Riaz Ahmed
- Nuclear Institute for Agriculture and Biology College, Pakistan Institute of Engineering and Applied Sciences (NIAB-C, PIEAS), Faisalabad, Pakistan
- Pakistan Agriculture Research Council (PARC), Horticulture Research Institute Khuzdar Baghbana, Khuzdar, Pakistan
| | - Tahira Luqman
- Nuclear Institute for Agriculture and Biology College, Pakistan Institute of Engineering and Applied Sciences (NIAB-C, PIEAS), Faisalabad, Pakistan
| | - Daniel K. Y. Tan
- School of Life and Environmental Sciences, Plant Breeding Institute, Sydney Institute of Agriculture, Faculty of Science, The University of Sydney, Sydney, NSW, Australia
| | - Zahra Maryum
- Nuclear Institute for Agriculture and Biology College, Pakistan Institute of Engineering and Applied Sciences (NIAB-C, PIEAS), Faisalabad, Pakistan
| | - Khalid Pervaiz Akhtar
- Nuclear Institute for Agriculture and Biology College, Pakistan Institute of Engineering and Applied Sciences (NIAB-C, PIEAS), Faisalabad, Pakistan
| | - Sana Muhy Ud Din Khan
- Nuclear Institute for Agriculture and Biology College, Pakistan Institute of Engineering and Applied Sciences (NIAB-C, PIEAS), Faisalabad, Pakistan
| | - Muhammad Sayyam Tariq
- Nuclear Institute for Agriculture and Biology College, Pakistan Institute of Engineering and Applied Sciences (NIAB-C, PIEAS), Faisalabad, Pakistan
| | - Nazar Muhammad
- Agriculture and Cooperative Department, Quetta, Pakistan
| | - Muhammad Kashif Riaz Khan
- Nuclear Institute for Agriculture and Biology College, Pakistan Institute of Engineering and Applied Sciences (NIAB-C, PIEAS), Faisalabad, Pakistan
- Plant Breeding and Genetics Division, Cotton Group, Nuclear Institute for Agriculture and Biology, Faisalabad, Pakistan
| | - Yongming Liu
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, China
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Chang X, He X, Li J, Liu Z, Pi R, Luo X, Wang R, Hu X, Lu S, Zhang X, Wang M. High-quality Gossypium hirsutum and Gossypium barbadense genome assemblies reveal the landscape and evolution of centromeres. Plant Commun 2024; 5:100722. [PMID: 37742072 PMCID: PMC10873883 DOI: 10.1016/j.xplc.2023.100722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 06/16/2023] [Accepted: 09/19/2023] [Indexed: 09/25/2023]
Abstract
Centromere positioning and organization are crucial for genome evolution; however, research on centromere biology is largely influenced by the quality of available genome assemblies. Here, we combined Oxford Nanopore and Pacific Biosciences technologies to de novo assemble two high-quality reference genomes for Gossypium hirsutum (TM-1) and Gossypium barbadense (3-79). Compared with previously published reference genomes, our assemblies show substantial improvements, with the contig N50 improved by 4.6-fold and 5.6-fold, respectively, and thus represent the most complete cotton genomes to date. These high-quality reference genomes enable us to characterize 14 and 5 complete centromeric regions for G. hirsutum and G. barbadense, respectively. Our data revealed that the centromeres of allotetraploid cotton are occupied by members of the centromeric repeat for maize (CRM) and Tekay long terminal repeat families, and the CRM family reshapes the centromere structure of the At subgenome after polyploidization. These two intertwined families have driven the convergent evolution of centromeres between the two subgenomes, ensuring centromere function and genome stability. In addition, the repositioning and high sequence divergence of centromeres between G. hirsutum and G. barbadense have contributed to speciation and centromere diversity. This study sheds light on centromere evolution in a significant crop and provides an alternative approach for exploring the evolution of polyploid plants.
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Affiliation(s)
- Xing Chang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Xin He
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Jianying Li
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Zhenping Liu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Ruizhen Pi
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Xuanxuan Luo
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Ruipeng Wang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Xiubao Hu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Sifan Lu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Xianlong Zhang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Maojun Wang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
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9
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Kopeć P. Climate Change-The Rise of Climate-Resilient Crops. Plants (Basel) 2024; 13:490. [PMID: 38498432 PMCID: PMC10891513 DOI: 10.3390/plants13040490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 01/31/2024] [Accepted: 02/06/2024] [Indexed: 03/20/2024]
Abstract
Climate change disrupts food production in many regions of the world. The accompanying extreme weather events, such as droughts, floods, heat waves, and cold snaps, pose threats to crops. The concentration of carbon dioxide also increases in the atmosphere. The United Nations is implementing the climate-smart agriculture initiative to ensure food security. An element of this project involves the breeding of climate-resilient crops or plant cultivars with enhanced resistance to unfavorable environmental conditions. Modern agriculture, which is currently homogeneous, needs to diversify the species and cultivars of cultivated plants. Plant breeding programs should extensively incorporate new molecular technologies, supported by the development of field phenotyping techniques. Breeders should closely cooperate with scientists from various fields of science.
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Affiliation(s)
- Przemysław Kopeć
- The Franciszek Górski Institute of Plant Physiology, Polish Academy of Sciences, Niezapominajek 21, 30-239 Kraków, Poland
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10
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Padmavathi G, Bangale U, Rao K, Balakrishnan D, Arun M, Singh RK, Sundaram RM. Progress and prospects in harnessing wild relatives for genetic enhancement of salt tolerance in rice. Front Plant Sci 2024; 14:1253726. [PMID: 38371332 PMCID: PMC10870985 DOI: 10.3389/fpls.2023.1253726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 12/13/2023] [Indexed: 02/20/2024]
Abstract
Salt stress is the second most devastating abiotic stress after drought and limits rice production globally. Genetic enhancement of salinity tolerance is a promising and cost-effective approach to achieve yield gains in salt-affected areas. Breeding for salinity tolerance is challenging because of the genetic complexity of the response of rice plants to salt stress, as it is governed by minor genes with low heritability and high G × E interactions. The involvement of numerous physiological and biochemical factors further complicates this complexity. The intensive selection and breeding efforts targeted towards the improvement of yield in the green-revolution era inadvertently resulted in the gradual disappearance of the loci governing salinity tolerance and a significant reduction in genetic variability among cultivars. The limited utilization of genetic resources and narrow genetic base of improved cultivars have resulted in a plateau in response to salinity tolerance in modern cultivars. Wild species are an excellent genetic resource for broadening the genetic base of domesticated rice. Exploiting novel genes of underutilized wild rice relatives to restore salinity tolerance loci eliminated during domestication can result in significant genetic gain in rice cultivars. Wild species of rice, Oryza rufipogon and Oryza nivara, have been harnessed in the development of a few improved rice varieties like Jarava and Chinsura Nona 2. Furthermore, increased access to sequence information and enhanced knowledge about the genomics of salinity tolerance in wild relatives has provided an opportunity for the deployment of wild rice accessions in breeding programs, while overcoming the cross-incompatibility and linkage drag barriers witnessed in wild hybridization. Pre-breeding is another avenue for building material that are ready for utilization in breeding programs. Efforts should be directed towards systematic collection, evaluation, characterization, and deciphering salt tolerance mechanisms in wild rice introgression lines and deploying untapped novel loci to improve salinity tolerance in rice cultivars. This review highlights the potential of wild relatives of Oryza to enhance tolerance to salinity, track the progress of work, and provide a perspective for future research.
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Affiliation(s)
- Guntupalli Padmavathi
- Crop Improvement Section, Plant Breeding, ICAR-Indian Institute of Rice Research (ICAR-IIRR), Hyderabad, India
| | - Umakanth Bangale
- Crop Improvement Section, Plant Breeding, ICAR-Indian Institute of Rice Research (ICAR-IIRR), Hyderabad, India
| | - K. Nagendra Rao
- Genetics and Plant Breeding, Sugarcane Research Station, Vuyyuru, India
| | - Divya Balakrishnan
- Crop Improvement Section, Plant Breeding, ICAR-Indian Institute of Rice Research (ICAR-IIRR), Hyderabad, India
| | - Melekote Nagabhushan Arun
- Crop Production Section, Agronomy, ICAR-Indian Institute of Rice Research (ICAR-IIRR), Hyderabad, India
| | - Rakesh Kumar Singh
- Crop Diversification and Genetics Section, International Center for Biosaline Agriculture (ICBA), Dubai, United Arab Emirates
| | - Raman Meenakshi Sundaram
- Crop Improvement Section, Plant Breeding, ICAR-Indian Institute of Rice Research (ICAR-IIRR), Hyderabad, India
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Bano N, Mohammad N, Ansari MI, Ansari SA. Genotyping SNPs in lignin biosynthesis gene (CAD1) and transcription factors (MYB1 and MYB2) exhibits association with wood density in teak (Tectona grandis L.f.). Mol Biol Rep 2024; 51:169. [PMID: 38252339 DOI: 10.1007/s11033-023-09006-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 11/13/2023] [Indexed: 01/23/2024]
Abstract
BACKGROUND Teak (Tectona grandis L.f.), an important source of tropical timber with immense economic value, is a highly outcrossing forest tree species. 150 unrelated accessions of teak (Tectona grandis L.f.) plus trees assembled as clones at National Teak Germplasm Bank, Chandrapur, Maharashtra, India was investigated for association mapping of candidate lignin biosynthesis gene (CAD1) and transcription factors (MYB1 and MYB2). METHODS AND RESULTS The CAD1, MYB1 and MYB2 were amplified using specifically designed primers. The amplified sequences were then sequenced and genotyped for 112 SNPs/11 indels. We evaluated the association between SNPs and wood density in teak accessions using GLM and MLM statistical models, with Bonferroni correction applied. The teak accessions recorded an average wood density of 416.69 kg.m-3 (CV 4.97%) and comprised of three loosely structured admixed sub-populations (K = 3), containing 72.05% genetic variation within sub-populations with low intragenic LD (0-21% SNP pairs) at P < 0.05 and high LD decay (33-934 bp) at R2 = 0.1. GLM and MLM models discounting systematic biases (Q and K matrices) to avoid false discovery revealed five loci at rare variants (MAF 0.003) and three loci at common variants (MAF 0.05) to be significantly (P < 0.05) associated with the wood density. However, the stringent Bonferroni correction (4.06-7.04 × 10-4) yielded only a single associated locus (B1485C/A) from exon of MYB1 transcription factor, contributing to about 10.35% phenotypic variation in wood density trait. CONCLUSION Scored SNP locus (B1485C/A) can be developed as a molecular probe for selection of improved planting stock with proven wood density trait for a large-scale teak plantation.
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Affiliation(s)
- Nuzhat Bano
- ICFRE-Institute of Forest Productivity, Ranchi, 835303, India
| | - Naseer Mohammad
- Genetics and Tree Improvement Division, ICFRE-Tropical Forest Research Institute, Jabalpur, 482021, India
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12
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Pathak H, Kaur K, Suneja Y, Singh G, Vikal Y, Kaur G. Effect of irrigation on wild and inbred maize with relation to the antioxidant status of pollens, flag leaves, and developing grains. Protoplasma 2024:10.1007/s00709-024-01926-1. [PMID: 38236419 DOI: 10.1007/s00709-024-01926-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 12/29/2023] [Indexed: 01/19/2024]
Abstract
The investigation was carried out to evaluate the net effect of limited irrigation on the antioxidant status of pollens, flag leaves, and developing grains of wild and inbred maize lines. Teosinte pollens showed the highest activities of superoxide dismutase (SOD), catalase (CAT), glutathione reductase (GR), glutathione-s-transferase (GST), and peroxidase (POX) under stressful conditions while LM 11 showed a significant decrease in APX, CAT, GR, and GST activities. Limited irrigations increased the contents of superoxide and malondialdehyde (MDA) to maximum levels in LM 11 leaves. The pollens, leaves, and developing grains of teosinte had the highest content of total phenols. Proline was maximum in the developing grains of teosinte and CML 32 while lowest in those of LM 11. Principal component analysis showed that LM 11 genotype and the respective antioxidant enzymes were in completely opposite quadrants. Chord analysis showed that CAT activity and total phenol content in pollens, leaves, and developing grains contributed towards most of the variations observed in teosinte and might be responsible for managing the yield attributes of genotype during stress conditions. The pollens and leaves of teosinte, with significant SOD activity, further helped in optimizing plant yield, under stressful conditions. CML 32 occupied intermediate position owing to the unaffected activities of most of the antioxidant enzymes and high content of antioxidants in its tissues. It may be concluded that the overall antioxidant status of tissues decides the tolerance behavior of plants.
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Affiliation(s)
- Himanshu Pathak
- Department of Biochemistry, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Kamaljit Kaur
- Department of Biochemistry, Punjab Agricultural University, Ludhiana, Punjab, India.
| | - Yadhu Suneja
- Department of Biochemistry, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Gagandeep Singh
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Yogesh Vikal
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Gurjit Kaur
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
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Buriev ZT, Shermatov SE, Usmanov DE, Mirzakhmedov MK, Ubaydullaeva KA, Kamburova VS, Rakhmanov BK, Ayubov MS, Abdullaev AN, Eshmurzaev JB, Mamajonov BO, Tulanov AA, Ismailova AA, Petrova TA, Rozumbetov RJ, Aripova TU, Muminov MI, Ermatova KY, Dalimova DA, Turdikulova SU, Abdukarimov A, Abdurakhmonov IY. Tomato-made edible COVID-19 vaccine TOMAVAC induces neutralizing IgGs in the blood sera of mice and humans. Front Nutr 2024; 10:1275307. [PMID: 38260078 PMCID: PMC10800535 DOI: 10.3389/fnut.2023.1275307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 12/11/2023] [Indexed: 01/24/2024] Open
Abstract
Plant-based edible vaccines that provide two-layered protection against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outweigh the currently used parenteral types of vaccines, which predominantly cause a systemic immune response. Here, we engineered and selected a transgenic tomato genotype (TOMAVAC) that stably synthesized an antigenic S1 protein of SARS-CoV-2. Two-course spaced force-feeding of mice with ≈5.4 μg/ml TOMAVAC increased up to 16-fold the synthesis of RBD-specific NAbs in blood serum and the significant induction of S-IgA in intestinal lavage fluid. In a surrogate virus neutralization test, TOMAVAC-induced NAbs had 15-25% viral neutralizing activity. The results suggested early evidence of the immunogenicity and protectivity of TOMAVAC against the coronavirus disease 2019 (COVID-19) infection. Furthermore, we observed a positive trend of statistically significant 1.2-fold (average of +42.28 BAU/ml) weekly increase in NAbs in the volunteers' serum relative to the initial day. No severe side effects were observed, preliminarily supporting the safety of TOMAVAC. With the completion of future large-scale studies, higher-generation TOMAVAC should be a cost-effective, ecologically friendly, and widely applicable novel-generation COVID-19 vaccine, providing two-layered protection against SARS-CoV-2.
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Affiliation(s)
- Zabardast T Buriev
- Center of Genomics and Bioinformatics, Academy of Sciences of Uzbekistan, Tashkent, Uzbekistan
| | - Shukhrat E Shermatov
- Center of Genomics and Bioinformatics, Academy of Sciences of Uzbekistan, Tashkent, Uzbekistan
| | - Dilshod E Usmanov
- Center of Genomics and Bioinformatics, Academy of Sciences of Uzbekistan, Tashkent, Uzbekistan
| | | | | | - Venera S Kamburova
- Center of Genomics and Bioinformatics, Academy of Sciences of Uzbekistan, Tashkent, Uzbekistan
| | - Bakhtiyor K Rakhmanov
- Center of Genomics and Bioinformatics, Academy of Sciences of Uzbekistan, Tashkent, Uzbekistan
| | - Mirzakamol S Ayubov
- Center of Genomics and Bioinformatics, Academy of Sciences of Uzbekistan, Tashkent, Uzbekistan
| | - Adkham N Abdullaev
- Center of Genomics and Bioinformatics, Academy of Sciences of Uzbekistan, Tashkent, Uzbekistan
| | - Jakhongir B Eshmurzaev
- Center of Genomics and Bioinformatics, Academy of Sciences of Uzbekistan, Tashkent, Uzbekistan
| | - Behzod O Mamajonov
- Center of Genomics and Bioinformatics, Academy of Sciences of Uzbekistan, Tashkent, Uzbekistan
| | - Akmal A Tulanov
- Center of Genomics and Bioinformatics, Academy of Sciences of Uzbekistan, Tashkent, Uzbekistan
| | - Adolat A Ismailova
- Institute of Immunology and Human Genomics, Academy of Sciences of Uzbekistan, Tashkent, Uzbekistan
| | - Tatyana A Petrova
- Institute of Immunology and Human Genomics, Academy of Sciences of Uzbekistan, Tashkent, Uzbekistan
| | - Ramazan J Rozumbetov
- Institute of Immunology and Human Genomics, Academy of Sciences of Uzbekistan, Tashkent, Uzbekistan
| | - Tamara U Aripova
- Institute of Immunology and Human Genomics, Academy of Sciences of Uzbekistan, Tashkent, Uzbekistan
| | - Muzaffar I Muminov
- Center of Advanced Technologies, Ministry of Higher Education, Science and Innovations of Uzbekistan, Tashkent, Uzbekistan
| | - Khusnora Y Ermatova
- Center of Advanced Technologies, Ministry of Higher Education, Science and Innovations of Uzbekistan, Tashkent, Uzbekistan
| | - Dilbar A Dalimova
- Center of Advanced Technologies, Ministry of Higher Education, Science and Innovations of Uzbekistan, Tashkent, Uzbekistan
| | - Shahlo U Turdikulova
- Center of Advanced Technologies, Ministry of Higher Education, Science and Innovations of Uzbekistan, Tashkent, Uzbekistan
| | - Abdusattor Abdukarimov
- Center of Genomics and Bioinformatics, Academy of Sciences of Uzbekistan, Tashkent, Uzbekistan
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Naqvi RZ, Mahmood MA, Mansoor S, Amin I, Asif M. Omics-driven exploration and mining of key functional genes for the improvement of food and fiber crops. Front Plant Sci 2024; 14:1273859. [PMID: 38259913 PMCID: PMC10800452 DOI: 10.3389/fpls.2023.1273859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 12/08/2023] [Indexed: 01/24/2024]
Abstract
The deployment of omics technologies has obtained an incredible boost over the past few decades with the advances in next-generation sequencing (NGS) technologies, innovative bioinformatics tools, and the deluge of available biological information. The major omics technologies in the limelight are genomics, transcriptomics, proteomics, metabolomics, and phenomics. These biotechnological advances have modernized crop breeding and opened new horizons for developing crop varieties with improved traits. The genomes of several crop species are sequenced, and a huge number of genes associated with crucial economic traits have been identified. These identified genes not only provide insights into the understanding of regulatory mechanisms of crop traits but also decipher practical grounds to assist in the molecular breeding of crops. This review discusses the potential of omics technologies for the acquisition of biological information and mining of the genes associated with important agronomic traits in important food and fiber crops, such as wheat, rice, maize, potato, tomato, cassava, and cotton. Different functional genomics approaches for the validation of these important genes are also highlighted. Furthermore, a list of genes discovered by employing omics approaches is being represented as potential targets for genetic modifications by the latest genome engineering methods for the development of climate-resilient crops that would in turn provide great impetus to secure global food security.
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Affiliation(s)
- Rubab Zahra Naqvi
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering College Pakistan Institute of Engineering and Applied Sciences, Faisalabad, Pakistan
| | - Muhammad Arslan Mahmood
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering College Pakistan Institute of Engineering and Applied Sciences, Faisalabad, Pakistan
| | - Shahid Mansoor
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering College Pakistan Institute of Engineering and Applied Sciences, Faisalabad, Pakistan
- International Center for Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan
| | - Imran Amin
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering College Pakistan Institute of Engineering and Applied Sciences, Faisalabad, Pakistan
| | - Muhammad Asif
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering College Pakistan Institute of Engineering and Applied Sciences, Faisalabad, Pakistan
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15
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Kong H, Song J, Ma S, Yang J, Shao Z, Li Q, Li Z, Xie Z, Yang P, Cao Y. Genome-wide identification and expression analysis of the glycosyl hydrolase family 1 genes in Medicago sativa revealed their potential roles in response to multiple abiotic stresses. BMC Genomics 2024; 25:20. [PMID: 38166654 PMCID: PMC10759430 DOI: 10.1186/s12864-023-09918-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 12/15/2023] [Indexed: 01/05/2024] Open
Abstract
Glycoside hydrolase family 1 (GH1) β-glucosidases (BGLUs), are encoded by a large number of genes, which participate in the development and stress response of plants, particularly under biotic and abiotic stresses through the activation of phytohormones. However, there are few studies systematically analyzing stress or hormone-responsive BGLU genes in alfalfa. In this study, a total of 179 BGLU genes of the glycoside hydrolase family 1 were identified in the genome of alfalfa, and then were classified into five distinct clusters. Sequence alignments revealed several conserved and unique motifs among these MsBGLU proteins. Many cis-acting elements related to abiotic stresses and phytohormones were identified in the promoter of some MsBGLUs. Moreover, RNA-seq and RT-qPCR analyses showed that these MsBGLU genes exhibited distinct expression patterns in response to different abiotic stress and hormonal treatments. In summary, this study suggests that MsBGLU genes play crucial roles in response to various abiotic stresses and hormonal responses, and provides candidate genes for stress tolerance breeding in alfalfa.
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Affiliation(s)
- Haiming Kong
- College of Grassland Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Jiaxing Song
- College of Grassland Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Shihai Ma
- College of Grassland Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Jing Yang
- College of Grassland Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Zitong Shao
- College of Grassland Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Qian Li
- College of Grassland and Environment Sciences, Xinjiang Agricultural University, Urumqi, 830052, China
| | - Zhongxing Li
- College of Grassland Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Zhiguo Xie
- Shaanxi Academy of Forestry, Xi'an, 710082, China
| | - Peizhi Yang
- College of Grassland Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Yuman Cao
- College of Grassland Agriculture, Northwest A&F University, Yangling, 712100, Shaanxi, China.
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16
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Mleziva AD, Ngumbi EN. Comparative analysis of defensive secondary metabolites in wild teosinte and cultivated maize under flooding and herbivory stress. Physiol Plant 2024; 176:e14216. [PMID: 38366721 DOI: 10.1111/ppl.14216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 01/26/2024] [Accepted: 02/03/2024] [Indexed: 02/18/2024]
Abstract
Climate change is driving an alarming increase in the frequency and intensity of abiotic and biotic stress factors, negatively impacting plant development and agricultural productivity. To survive, plants respond by inducing changes in below and aboveground metabolism with concomitant alterations in defensive secondary metabolites. While plant responses to the isolated stresses of flooding and insect herbivory have been extensively studied, much less is known about their response in combination. Wild relatives of cultivated plants with robust stress tolerance traits provide an excellent system for comparing how diverse plant species respond to combinatorial stress, and provide insight into potential germplasms for stress-tolerant hybrids. In this study, we compared the below and aboveground changes in the secondary metabolites of maize (Zea mays) and a flood-tolerant wild relative Nicaraguan teosinte (Zea nicaraguensis) in response to flooding, insect herbivory, and their combination. Root tissue was analyzed for changes in belowground metabolism. Leaf total phenolic content and headspace volatile organic compound emission were analyzed for changes in aboveground secondary metabolism. Results revealed significant differences in the root metabolome profiles of teosinte and maize. Notably, the accumulation of the flavonoids apigenin, naringenin, and luteolin during flooding and herbivory differentiated teosinte from maize. Aboveground, terpenes, including trans-α-bergamotene and (E)-4,8-dimethylnona-1,3,7-triene, shaped compositional differences in their volatile profiles between flooding, herbivory, and their combination. Taken together, these results suggest teosinte may be more tolerant than maize due to dynamic metabolic changes during flooding and herbivory that help relieve stress and influence plant-insect interactions.
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Affiliation(s)
- Aaron D Mleziva
- Department of Entomology, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Esther N Ngumbi
- Department of Entomology, University of Illinois Urbana-Champaign, Urbana, IL, USA
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17
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Lozada DN, Sandhu KS, Bhatta M. Ridge regression and deep learning models for genome-wide selection of complex traits in New Mexican Chile peppers. BMC Genom Data 2023; 24:80. [PMID: 38110866 PMCID: PMC10726521 DOI: 10.1186/s12863-023-01179-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 12/05/2023] [Indexed: 12/20/2023] Open
Abstract
BACKGROUND Genomewide prediction estimates the genomic breeding values of selection candidates which can be utilized for population improvement and cultivar development. Ridge regression and deep learning-based selection models were implemented for yield and agronomic traits of 204 chile pepper genotypes evaluated in multi-environment trials in New Mexico, USA. RESULTS Accuracy of prediction differed across different models under ten-fold cross-validations, where high prediction accuracy was observed for highly heritable traits such as plant height and plant width. No model was superior across traits using 14,922 SNP markers for genomewide selection. Bayesian ridge regression had the highest average accuracy for first pod date (0.77) and total yield per plant (0.33). Multilayer perceptron (MLP) was the most superior for flowering time (0.76) and plant height (0.73), whereas the genomic BLUP model had the highest accuracy for plant width (0.62). Using a subset of 7,690 SNP loci resulting from grouping markers based on linkage disequilibrium coefficients resulted in improved accuracy for first pod date, ten pod weight, and total yield per plant, even under a relatively small training population size for MLP and random forest models. Genomic and ridge regression BLUP models were sufficient for optimal prediction accuracies for small training population size. Combining phenotypic selection and genomewide selection resulted in improved selection response for yield-related traits, indicating that integrated approaches can result in improved gains achieved through selection. CONCLUSIONS Accuracy values for ridge regression and deep learning prediction models demonstrate the potential of implementing genomewide selection for genetic improvement in chile pepper breeding programs. Ultimately, a large training data is relevant for improved genomic selection accuracy for the deep learning models.
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Affiliation(s)
- Dennis N Lozada
- Department of Plant and Environmental Sciences, New Mexico State University, Las Cruces, NM, 88003, USA.
- Chile Pepper Institute, New Mexico State University, Las Cruces, NM, 88003, USA.
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Khidirov MT, Ernazarova DK, Rafieva FU, Ernazarova ZA, Toshpulatov AK, Umarov RF, Kholova MD, Oripova BB, Kudratova MK, Gapparov BM, Khidirova MM, Komilov DJ, Turaev OS, Udall JA, Yu JZ, Kushanov FN. Genomic and Cytogenetic Analysis of Synthetic Polyploids between Diploid and Tetraploid Cotton ( Gossypium) Species. Plants (Basel) 2023; 12:4184. [PMID: 38140511 PMCID: PMC10748080 DOI: 10.3390/plants12244184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 12/08/2023] [Accepted: 12/12/2023] [Indexed: 12/24/2023]
Abstract
Cotton (Gossypium spp.) is the most important natural fiber source in the world. The genetic potential of cotton can be successfully and efficiently exploited by identifying and solving the complex fundamental problems of systematics, evolution, and phylogeny, based on interspecific hybridization of cotton. This study describes the results of interspecific hybridization of G. herbaceum L. (A1-genome) and G. mustelinum Miers ex Watt (AD4-genome) species, obtaining fertile hybrids through synthetic polyploidization of otherwise sterile triploid forms with colchicine (C22H25NO6) treatment. The fertile F1C hybrids were produced from five different cross combinations: (1) G. herbaceum subsp. frutescens × G. mustelinum; (2) G. herbaceum subsp. pseudoarboreum × G. mustelinum; (3) G. herbaceum subsp. pseudoarboreum f. harga × G. mustelinum; (4) G. herbaceum subsp. africanum × G. mustelinum; (5) G. herbaceum subsp. euherbaceum (variety A-833) × G. mustelinum. Cytogenetic analysis discovered normal conjugation of bivalent chromosomes in addition to univalent, open, and closed ring-shaped quadrivalent chromosomes at the stage of metaphase I in the F1C and F2C hybrids. The setting of hybrid bolls obtained as a result of these crosses ranged from 13.8-92.2%, the fertility of seeds in hybrid bolls from 9.7-16.3%, and the pollen viability rates from 36.6-63.8%. Two transgressive plants with long fiber of 35.1-37.0 mm and one plant with extra-long fiber of 39.1-41.0 mm were identified in the F2C progeny of G. herbaceum subsp. frutescens × G. mustelinum cross. Phylogenetic analysis with 72 SSR markers that detect genomic changes showed that tetraploid hybrids derived from the G. herbaceum × G. mustelinum were closer to the species G. mustelinum. The G. herbaceum subsp. frutescens was closer to the cultivated form, and its subsp. africanum was closer to the wild form. New knowledge of the interspecific hybridization and synthetic polyploidization was developed for understanding the genetic mechanisms of the evolution of tetraploid cotton during speciation. The synthetic polyploids of cotton obtained in this study would provide beneficial genes for developing new cotton varieties of the G. hirsutum species, with high-quality cotton fiber and strong tolerance to biotic or abiotic stress. In particular, the introduction of these polyploids to conventional and molecular breeding can serve as a bridge of transferring valuable genes related to high-quality fiber and stress tolerance from different cotton species to the new cultivars.
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Affiliation(s)
- Mukhammad T. Khidirov
- Institute of Genetics and Plant Experimental Biology, Academy of Sciences of the Republic of Uzbekistan, Tashkent 111226, Uzbekistan; (M.T.K.); (D.K.E.); (F.U.R.); (Z.A.E.); (A.K.T.); (R.F.U.); (M.D.K.); (B.B.O.); (M.K.K.); (B.M.G.); (O.S.T.)
| | - Dilrabo K. Ernazarova
- Institute of Genetics and Plant Experimental Biology, Academy of Sciences of the Republic of Uzbekistan, Tashkent 111226, Uzbekistan; (M.T.K.); (D.K.E.); (F.U.R.); (Z.A.E.); (A.K.T.); (R.F.U.); (M.D.K.); (B.B.O.); (M.K.K.); (B.M.G.); (O.S.T.)
- Department of Genetics, National University of Uzbekistan, Tashkent 100174, Uzbekistan;
| | - Feruza U. Rafieva
- Institute of Genetics and Plant Experimental Biology, Academy of Sciences of the Republic of Uzbekistan, Tashkent 111226, Uzbekistan; (M.T.K.); (D.K.E.); (F.U.R.); (Z.A.E.); (A.K.T.); (R.F.U.); (M.D.K.); (B.B.O.); (M.K.K.); (B.M.G.); (O.S.T.)
| | - Ziraatkhan A. Ernazarova
- Institute of Genetics and Plant Experimental Biology, Academy of Sciences of the Republic of Uzbekistan, Tashkent 111226, Uzbekistan; (M.T.K.); (D.K.E.); (F.U.R.); (Z.A.E.); (A.K.T.); (R.F.U.); (M.D.K.); (B.B.O.); (M.K.K.); (B.M.G.); (O.S.T.)
| | - Abdulqahhor Kh. Toshpulatov
- Institute of Genetics and Plant Experimental Biology, Academy of Sciences of the Republic of Uzbekistan, Tashkent 111226, Uzbekistan; (M.T.K.); (D.K.E.); (F.U.R.); (Z.A.E.); (A.K.T.); (R.F.U.); (M.D.K.); (B.B.O.); (M.K.K.); (B.M.G.); (O.S.T.)
| | - Ramziddin F. Umarov
- Institute of Genetics and Plant Experimental Biology, Academy of Sciences of the Republic of Uzbekistan, Tashkent 111226, Uzbekistan; (M.T.K.); (D.K.E.); (F.U.R.); (Z.A.E.); (A.K.T.); (R.F.U.); (M.D.K.); (B.B.O.); (M.K.K.); (B.M.G.); (O.S.T.)
| | - Madina D. Kholova
- Institute of Genetics and Plant Experimental Biology, Academy of Sciences of the Republic of Uzbekistan, Tashkent 111226, Uzbekistan; (M.T.K.); (D.K.E.); (F.U.R.); (Z.A.E.); (A.K.T.); (R.F.U.); (M.D.K.); (B.B.O.); (M.K.K.); (B.M.G.); (O.S.T.)
| | - Barno B. Oripova
- Institute of Genetics and Plant Experimental Biology, Academy of Sciences of the Republic of Uzbekistan, Tashkent 111226, Uzbekistan; (M.T.K.); (D.K.E.); (F.U.R.); (Z.A.E.); (A.K.T.); (R.F.U.); (M.D.K.); (B.B.O.); (M.K.K.); (B.M.G.); (O.S.T.)
| | - Mukhlisa K. Kudratova
- Institute of Genetics and Plant Experimental Biology, Academy of Sciences of the Republic of Uzbekistan, Tashkent 111226, Uzbekistan; (M.T.K.); (D.K.E.); (F.U.R.); (Z.A.E.); (A.K.T.); (R.F.U.); (M.D.K.); (B.B.O.); (M.K.K.); (B.M.G.); (O.S.T.)
| | - Bunyod M. Gapparov
- Institute of Genetics and Plant Experimental Biology, Academy of Sciences of the Republic of Uzbekistan, Tashkent 111226, Uzbekistan; (M.T.K.); (D.K.E.); (F.U.R.); (Z.A.E.); (A.K.T.); (R.F.U.); (M.D.K.); (B.B.O.); (M.K.K.); (B.M.G.); (O.S.T.)
| | | | - Doniyor J. Komilov
- Department of Biology, Namangan State University, Uychi Street-316, Namangan 160100, Uzbekistan;
| | - Ozod S. Turaev
- Institute of Genetics and Plant Experimental Biology, Academy of Sciences of the Republic of Uzbekistan, Tashkent 111226, Uzbekistan; (M.T.K.); (D.K.E.); (F.U.R.); (Z.A.E.); (A.K.T.); (R.F.U.); (M.D.K.); (B.B.O.); (M.K.K.); (B.M.G.); (O.S.T.)
- Department of Genetics, National University of Uzbekistan, Tashkent 100174, Uzbekistan;
| | - Joshua A. Udall
- United States Department of Agriculture (USDA)-Agricultural Research Service (ARS), Southern Plains Agricultural Research Center, 2881 F&B Road, College Station, TX 77845, USA;
| | - John Z. Yu
- United States Department of Agriculture (USDA)-Agricultural Research Service (ARS), Southern Plains Agricultural Research Center, 2881 F&B Road, College Station, TX 77845, USA;
| | - Fakhriddin N. Kushanov
- Institute of Genetics and Plant Experimental Biology, Academy of Sciences of the Republic of Uzbekistan, Tashkent 111226, Uzbekistan; (M.T.K.); (D.K.E.); (F.U.R.); (Z.A.E.); (A.K.T.); (R.F.U.); (M.D.K.); (B.B.O.); (M.K.K.); (B.M.G.); (O.S.T.)
- Department of Genetics, National University of Uzbekistan, Tashkent 100174, Uzbekistan;
- Department of Biology, Namangan State University, Uychi Street-316, Namangan 160100, Uzbekistan;
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Liú R, Xiāo X, Gōng J, Lǐ J, Yán H, Gě Q, Lú Q, Lǐ P, Pān J, Shāng H, Shí Y, Chén Q, Yuán Y, Gǒng W. Genetic linkage analysis of stable QTLs in Gossypium hirsutum RIL population revealed function of GhCesA4 in fiber development. J Adv Res 2023:S2090-1232(23)00379-X. [PMID: 38065406 DOI: 10.1016/j.jare.2023.12.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 08/27/2023] [Accepted: 12/02/2023] [Indexed: 02/12/2024] Open
Abstract
INTRODUCTION Upland cotton is an important allotetrapolyploid crop providing natural fibers for textile industry. Under the present high-level breeding and production conditions, further simultaneous improvement of fiber quality and yield is facing unprecedented challenges due to their complex negative correlations. OBJECTIVES The study was to adequately identify quantitative trait loci (QTLs) and dissect how they orchestrate the formation of fiber quality and yield. METHODS A high-density genetic map (HDGM) based on an intraspecific recombinant inbred line (RIL) population consisting of 231 individuals was used to identify QTLs and QTL clusters of fiber quality and yield traits. The weighted gene correlation network analysis (WGCNA) package in R software was utilized to identify WGCNA network and hub genes related to fiber development. Gene functions were verified via virus-induced gene silencing (VIGS) and clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9 strategies. RESULTS An HDGM consisting of 8045 markers was constructed spanning 4943.01 cM of cotton genome. A total of 295 QTLs were identified based on multi-environmental phenotypes. Among 139 stable QTLs, including 35 newly identified ones, seventy five were of fiber quality and 64 yield traits. A total of 33 QTL clusters harboring 74 QTLs were identified. Eleven candidate hub genes were identified via WGCNA using genes in all stable QTLs and QTL clusters. The relative expression profiles of these hub genes revealed their correlations with fiber development. VIGS and CRISPR/Cas9 edition revealed that the hub gene cellulose synthase 4 (GhCesA4, GH_D07G2262) positively regulate fiber length and fiber strength formation and negatively lint percentage. CONCLUSION Multiple analyses demonstrate that the hub genes harbored in the QTLs orchestrate the fiber development. The hub gene GhCesA4 has opposite pleiotropic effects in regulating trait formation of fiber quality and yield. The results facilitate understanding the genetic basis of negative correlation between cotton fiber quality and yield.
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Affiliation(s)
- Ruìxián Liú
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, China; Engineering Research Centre of Cotton, Ministry of Education, College of Agriculture, Xinjiang Agricultural University, 311 Nongda East Road, Urumqi 830052, Xinjiang, China
| | - Xiànghuī Xiāo
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, China; Engineering Research Centre of Cotton, Ministry of Education, College of Agriculture, Xinjiang Agricultural University, 311 Nongda East Road, Urumqi 830052, Xinjiang, China; College of Biotechnology and Food Engineering, Anyang Institute of Technology, Anyang 455000, Henan, China
| | - Jǔwǔ Gōng
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, China; Zhengzhou Research Base, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Zhengzhou University, Zhengzhou 450001, Henan, China
| | - Jùnwén Lǐ
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, China; Zhengzhou Research Base, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Zhengzhou University, Zhengzhou 450001, Henan, China
| | - Hàoliàng Yán
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, China
| | - Qún Gě
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, China; Zhengzhou Research Base, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Zhengzhou University, Zhengzhou 450001, Henan, China
| | - Quánwěi Lú
- College of Biotechnology and Food Engineering, Anyang Institute of Technology, Anyang 455000, Henan, China
| | - Péngtāo Lǐ
- College of Biotechnology and Food Engineering, Anyang Institute of Technology, Anyang 455000, Henan, China
| | - Jìngtāo Pān
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, China
| | - Hǎihóng Shāng
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, China; Zhengzhou Research Base, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Zhengzhou University, Zhengzhou 450001, Henan, China
| | - Yùzhēn Shí
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, China
| | - Qúanjiā Chén
- Engineering Research Centre of Cotton, Ministry of Education, College of Agriculture, Xinjiang Agricultural University, 311 Nongda East Road, Urumqi 830052, Xinjiang, China.
| | - Yǒulù Yuán
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, China; Engineering Research Centre of Cotton, Ministry of Education, College of Agriculture, Xinjiang Agricultural University, 311 Nongda East Road, Urumqi 830052, Xinjiang, China; Zhengzhou Research Base, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Zhengzhou University, Zhengzhou 450001, Henan, China.
| | - Wànkuí Gǒng
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, China.
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20
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Huang Y, Qi Z, Li J, You J, Zhang X, Wang M. Genetic interrogation of phenotypic plasticity informs genome-enabled breeding in cotton. J Genet Genomics 2023; 50:971-982. [PMID: 37211312 DOI: 10.1016/j.jgg.2023.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 04/19/2023] [Accepted: 05/04/2023] [Indexed: 05/23/2023]
Abstract
Phenotypic plasticity, or the ability to adapt to and thrive in changing climates and variable environments, is essential for developmental programs in plants. Despite its importance, the genetic underpinnings of phenotypic plasticity for key agronomic traits remain poorly understood in many crops. In this study, we aim to fill this gap by using genome-wide association studies to identify genetic variations associated with phenotypic plasticity in upland cotton (Gossypium hirsutum L.). We identified 73 additive quantitative trait loci (QTLs), 32 dominant QTLs, and 6799 epistatic QTLs associated with 20 traits. We also identified 117 additive QTLs, 28 dominant QTLs, and 4691 epistatic QTLs associated with phenotypic plasticity in 19 traits. Our findings reveal new genetic factors, including additive, dominant, and epistatic QTLs, that are linked to phenotypic plasticity and agronomic traits. Meanwhile, we find that the genetic factors controlling the mean phenotype and phenotypic plasticity are largely independent in upland cotton, indicating the potential for simultaneous improvement. Additionally, we envision a genomic design strategy by utilizing the identified QTLs to facilitate cotton breeding. Taken together, our study provides new insights into the genetic basis of phenotypic plasticity in cotton, which should be valuable for future breeding.
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Affiliation(s)
- Yuefan Huang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, Hubei 430070, China
| | - Zhengyang Qi
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, Hubei 430070, China
| | - Jianying Li
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, Hubei 430070, China
| | - Jiaqi You
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, Hubei 430070, China
| | - Xianlong Zhang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, Hubei 430070, China.
| | - Maojun Wang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, Hubei 430070, China.
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21
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Fournier L, Abioui-Mourgues M, Chabouh G, Aid R, Taille TDL, Couture O, Vivien D, Orset C, Chauvierre C. rtPA-loaded fucoidan polymer microbubbles for the targeted treatment of stroke. Biomaterials 2023; 303:122385. [PMID: 37952499 DOI: 10.1016/j.biomaterials.2023.122385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 10/27/2023] [Accepted: 11/02/2023] [Indexed: 11/14/2023]
Abstract
Systemic injection of thrombolytic drugs is the gold standard treatment for non-invasive blood clot resolution. The most serious risks associated with the intravenous injection of tissue plasminogen activator-like proteins are the bleeding complication and the dose related neurotoxicity. Indeed, the drug has to be injected in high concentrations due to its short half-life, the presence of its natural blood inhibitor (PAI-1) and the fast hepatic clearance (0.9 mg/kg in humans, 10 mg/kg in mouse models). Overall, there is a serious need for a dose-reduced targeted treatment to overcome these issues. We present in this article a new acoustic cavitation-based method for polymer MBs synthesis, three times faster than current hydrodynamic-cavitation method. The generated MBs are ultrasound responsive, stable and biocompatible. Their functionalization enabled the efficient and targeted treatment of stroke, without side effects. The stabilizing shell of the MBs is composed of Poly-Isobutyl Cyanoacrylate (PIBCA), copolymerized with fucoidan. Widely studied for its targeting properties, fucoidan exhibit a nanomolar affinity for activated endothelium and activated platelets (P-selectins). Secondly, the thrombolytic agent (rtPA) was loaded onto microbubbles (MBs) with a simple adsorption protocol. Hence, the present study validated the in vivo efficiency of rtPA-loaded Fuco MBs to be over 50 % more efficient than regular free rtPA injection for stroke resolution. In addition, the relative injected rtPA grafted onto targeting MBs was 1/10th of the standard effective dose (1 mg/kg in mouse). As a result, no hemorrhagic event, BBB leakage nor unexpected tissue distribution were observed.
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Affiliation(s)
- Louise Fournier
- Université Paris Cité, Université Sorbonne Paris Nord, UMR-S U1148 INSERM, Laboratory for Vascular Translational Science (LVTS), F-75018, Paris, France
| | - Myriam Abioui-Mourgues
- Normandie University, UNICAEN, INSERM UMR-S U1237, Physiopathology and Imaging of Neurological Disorders (PhIND), GIP Cyceron, Institut Blood and Brain @ Caen-Normandie (BB@C), Caen, France
| | - Georges Chabouh
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France
| | - Rachida Aid
- Université Paris Cité, Université Sorbonne Paris Nord, UMR-S U1148 INSERM, Laboratory for Vascular Translational Science (LVTS), F-75018, Paris, France; Université Paris Cité, UMS 34, Fédération de Recherche en Imagerie Multi-modalité (FRIM), F-75018, Paris, France
| | - Thibault De La Taille
- Université Paris Cité, Université Sorbonne Paris Nord, UMR-S U1148 INSERM, Laboratory for Vascular Translational Science (LVTS), F-75018, Paris, France
| | - Olivier Couture
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France
| | - Denis Vivien
- Normandie University, UNICAEN, INSERM UMR-S U1237, Physiopathology and Imaging of Neurological Disorders (PhIND), GIP Cyceron, Institut Blood and Brain @ Caen-Normandie (BB@C), Caen, France; Department of Clinical Research, Caen-Normandie University Hospital, Caen, France
| | - Cyrille Orset
- Normandie University, UNICAEN, INSERM UMR-S U1237, Physiopathology and Imaging of Neurological Disorders (PhIND), GIP Cyceron, Institut Blood and Brain @ Caen-Normandie (BB@C), Caen, France
| | - Cédric Chauvierre
- Université Paris Cité, Université Sorbonne Paris Nord, UMR-S U1148 INSERM, Laboratory for Vascular Translational Science (LVTS), F-75018, Paris, France.
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22
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Mohammadi P, Asefpour Vakilian K. Machine learning provides specific detection of salt and drought stresses in cucumber based on miRNA characteristics. Plant Methods 2023; 19:123. [PMID: 37940966 PMCID: PMC10631058 DOI: 10.1186/s13007-023-01095-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Accepted: 10/19/2023] [Indexed: 11/10/2023]
Abstract
BACKGROUND Specific detection of the type and severity of plant abiotic stresses helps prevent yield loss by considering timely actions. This study introduces a novel method to detect the type and severity of stress in cucumber plants under salinity and drought conditions. Various features, i.e., morphological (image textural features), physiological/biochemical (relative water content, chlorophyll, catalase activity, anthocyanins, phenol content, and proline), as well as miRNA characteristics (the concentration of miRNA-156a, miRNA-166i, miRNA-399g, and miRNA-477b) were extracted from plant leaves, and machine learning methods were used to predict the type and severity of stress by having these features. Support vector machine (SVM) with parameters optimized by genetic algorithm (GA) and particle swarm optimization (PSO) was used for machine learning. RESULTS The coefficient of determination of predicting the stress type and severity in plants under both stresses was 0.61, 0.82, and 0.99 using morphological, physiological/biochemical, and miRNA characteristics, respectively. This reveals machine learning methods optimized by metaheuristic optimization techniques can provide specific detection of salt and drought stresses in cucumber plants based on miRNA characteristics. Among the study miRNAs, miRNA-477b and miRNA-399g had the highest and lowest contribution to salt and drought stresses, respectively. CONCLUSIONS Comapred to conventional plant traits, miRNAs are more reliable features for providing us with valuable information about plant abiotic diseases at early stages. Using an electrochemical miRNA biosensor similar to one used in this work to measure the miRNA concentration in plant leaves and using a machine learning algorithm such as SVM enable farmers to detect the salt and drought stress at early stages in cucumber plants with very high accuracy.
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Affiliation(s)
- Parvin Mohammadi
- Department of Agrotechnology, College of Abouraihan, University of Tehran, Tehran, Iran
| | - Keyvan Asefpour Vakilian
- Department of Biosystems Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran.
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23
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Mamrutha HM, Zeenat W, Kapil D, Budhagatapalli N, Tikaniya D, Rakesh K, Krishnappa G, Singh G, Singh GP. Evidence and opportunities for developing non-transgenic genome edited crops using site-directed nuclease 1 approach. Crit Rev Biotechnol 2023:1-11. [PMID: 37915126 DOI: 10.1080/07388551.2023.2270581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 09/18/2023] [Indexed: 11/03/2023]
Abstract
The innovations and progress in genome editing/new breeding technologies have revolutionized research in the field of functional genomics and crop improvement. This revolution has expanded the horizons of agricultural research, presenting fresh possibilities for creating novel plant varieties equipped with desired traits that can effectively combat the challenges posed by climate change. However, the regulation and social acceptance of genome-edited crops still remain as major barriers. Only a few countries considered the site-directed nuclease 1 (SDN1) approach-based genome-edited plants under less or no regulation. Hence, the present review aims to comprise information on the research work conducted using SDN1 in crops by various genome editing tools. It also elucidates the promising candidate genes that can be used for editing and has listed the studies on non-transgenic crops developed through SDN1 either by Agrobacterium-mediated transformation or by ribo nucleoprotein (RNP) complex. The review also hoards the existing regulatory landscape of genome editing and provides an overview of globally commercialized genome-edited crops. These compilations will enable confidence in researchers and policymakers, across the globe, to recognize the full potential of this technology and reconsider the regulatory aspects associated with genome-edited crops. Furthermore, this compilation serves as a valuable resource for researchers embarking on the development of customized non-transgenic crops through the utilization of SDN1.
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Affiliation(s)
- H M Mamrutha
- ICAR - Indian Institute of Wheat and Barley Research, Karnal, India
| | - Wadhwa Zeenat
- ICAR - Indian Institute of Wheat and Barley Research, Karnal, India
| | - Deswal Kapil
- ICAR - Indian Institute of Wheat and Barley Research, Karnal, India
- Chaudhary Charan Singh Haryana Agricultural University, Hisar, India
| | - Nagaveni Budhagatapalli
- Institute of Plant Biochemistry, Center for Plant Genome Engineering, Heinrich-Heine-University, Düsseldorf, Germany
| | - Divya Tikaniya
- ICAR - Indian Institute of Wheat and Barley Research, Karnal, India
- Chaudhary Charan Singh Haryana Agricultural University, Hisar, India
| | - Kumar Rakesh
- Plant and Microbial Biology, University of California, Berkeley, CA, USA
| | | | - Gyanendra Singh
- ICAR - Indian Institute of Wheat and Barley Research, Karnal, India
| | - G P Singh
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
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24
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Sheri V, Kumar M, Jaconis S, Zhang B. Antioxidant defense in cotton under environmental stresses: Unraveling the crucial role of a universal defense regulator for enhanced cotton sustainability. Plant Physiol Biochem 2023; 204:108141. [PMID: 37926000 DOI: 10.1016/j.plaphy.2023.108141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 10/17/2023] [Accepted: 10/24/2023] [Indexed: 11/07/2023]
Abstract
Cotton (Gossypium spp.) is a globally significant crop that provides natural fibers for the textile industry and also an important oil and biopharmaceutical resources. However, the production of cotton faces substantial challenges due to various biotic and abiotic stress factors that can negatively impact cotton growth, yield, and fiber quality. This review offers a comprehensive overview of the effects of biotic stress factors, such as insect pests, bacterial, fungal, and viral pathogens, and nematodes, as well as abiotic stress factors, including extreme hot and cold temperature, drought, toxicity induced by heavy metal and salinity, on the antioxidant systems in cotton. We discuss the crucial antioxidants, such as glutathione, proline, and phenolics, and highlight major antioxidant enzymes, including ascorbate peroxidase (APX), superoxide dismutase (SOD), peroxidase (POD), catalase (CAT), and glutathione reductase (GR), and their roles in cotton's response to these stress factors. Furthermore, we explore the potential mechanisms and the crosstalk between different stress factors signaling pathways. We also examine the implications of stress-induced changes in antioxidant levels and enzyme activities for cotton productivity and breeding strategies. Additionally, we shed light on the unanswered questions, research gaps, and future perspectives in this field, paving the way for further investigations to enhance our understanding of cotton's antioxidant defenses and develop novel strategies for improving cotton stress tolerance and yield stability.
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Affiliation(s)
- Vijay Sheri
- Department of Biology, East Carolina University, Greenville, 27858, USA
| | - Manoj Kumar
- Chemical and Biochemical Processing Division, ICAR-Central Institute for Research on Cotton Technology, Mumbai, India
| | - Susan Jaconis
- Agricultural & Environmental Research Department, Cotton Incorporated, Cary, NC, 27513, USA
| | - Baohong Zhang
- Department of Biology, East Carolina University, Greenville, 27858, USA.
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25
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Liu R, Zhu M, Shi Y, Li J, Gong J, Xiao X, Chen Q, Yuan Y, Gong W. QTL Verification and Candidate Gene Screening of Fiber Quality and Lint Percentage in the Secondary Segregating Population of Gossypium hirsutum. Plants (Basel) 2023; 12:3737. [PMID: 37960093 PMCID: PMC10650182 DOI: 10.3390/plants12213737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 10/26/2023] [Accepted: 10/27/2023] [Indexed: 11/15/2023]
Abstract
Fiber quality traits, especially fiber strength, length, and micronaire (FS, FL, and FM), have been recognized as critical fiber attributes in the textile industry, while the lint percentage (LP) was an important indicator to evaluate the cotton lint yield. So far, the genetic mechanism behind the formation of these traits is still unclear. Quantitative trait loci (QTL) identification and candidate gene validation provide an effective methodology to uncover the genetic and molecular basis of FL, FS, FM, and LP. A previous study identified three important QTL/QTL cluster loci, harboring at least one of the above traits on chromosomes A01, A07, and D12 via a recombinant inbred line (RIL) population derived from a cross of Lumianyan28 (L28) × Xinluzao24 (X24). A secondary segregating population (F2) was developed from a cross between L28 and an RIL, RIL40 (L28 × RIL40). Based on the population, genetic linkage maps of the previous QTL cluster intervals on A01 (6.70-10.15 Mb), A07 (85.48-93.43 Mb), and D12 (0.40-1.43 Mb) were constructed, which span 12.25, 15.90, and 5.56 cM, with 2, 14, and 4 simple sequence repeat (SSR) and insertion/deletion (Indel) markers, respectively. QTLs of FL, FS, FM, and LP on these three intervals were verified by composite interval mapping (CIM) using WinQTL Cartographer 2.5 software via phenotyping of F2 and its derived F2:3 populations. The results validated the previous primary QTL identification of FL, FS, FM, and LP. Analysis of the RNA-seq data of the developing fibers of L28 and RIL40 at 10, 20, and 30 days post anthesis (DPA) identified seven differentially expressed genes (DEGs) as potential candidate genes. qRT-PCR verified that five of them were consistent with the RNA-seq result. These genes may be involved in regulating fiber development, leading to the formation of FL, FS, FM, and LP. This study provides an experimental foundation for further exploration of these functional genes to dissect the genetic mechanism of cotton fiber development.
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Affiliation(s)
- Ruixian Liu
- Engineering Research Centre of Cotton, Ministry of Education, College of Agriculture, Xinjiang Agricultural University, 311 Nongda East Road, Urumqi 830052, China;
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China (J.G.); (X.X.)
| | - Minghui Zhu
- Agricultural Technology Extension Center of Kashi District, Kashi 844000, China;
| | - Yongqiang Shi
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China (J.G.); (X.X.)
| | - Junwen Li
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China (J.G.); (X.X.)
- Zhengzhou Research Base, National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Zhengzhou University, Zhengzhou 450001, China
| | - Juwu Gong
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China (J.G.); (X.X.)
- Zhengzhou Research Base, National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Zhengzhou University, Zhengzhou 450001, China
| | - Xianghui Xiao
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China (J.G.); (X.X.)
| | - Quanjia Chen
- Engineering Research Centre of Cotton, Ministry of Education, College of Agriculture, Xinjiang Agricultural University, 311 Nongda East Road, Urumqi 830052, China;
| | - Youlu Yuan
- Engineering Research Centre of Cotton, Ministry of Education, College of Agriculture, Xinjiang Agricultural University, 311 Nongda East Road, Urumqi 830052, China;
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China (J.G.); (X.X.)
- Zhengzhou Research Base, National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Zhengzhou University, Zhengzhou 450001, China
| | - Wankui Gong
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China (J.G.); (X.X.)
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26
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Gowda SA, Bourland FM, Kaur B, Jones DC, Kuraparthy V. Genetic diversity and population structure analyses and genome-wide association studies of photoperiod sensitivity in cotton (Gossypium hirsutum L.). Theor Appl Genet 2023; 136:230. [PMID: 37875695 DOI: 10.1007/s00122-023-04477-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 10/04/2023] [Indexed: 10/26/2023]
Abstract
KEY MESSAGE Genetic diversity and population structure analyses showed progressively narrowed diversity in US Upland cotton compared to land races. GWAS identified genomic regions and candidate genes for photoperiod sensitivity in cotton. Six hundred fifty-seven accessions that included elite cotton germplasm (DIV panel), lines of a public cotton breeding program (FB panel), and tropical landrace accessions (TLA panel) of Gossypium hirsutum L. were genotyped with cottonSNP63K array and phenotyped for photoperiod sensitivity under long day-length conditions. The genetic diversity analysis using 26,952 polymorphic SNPs indicated a progressively narrowed diversity from the landraces (0.230) to the DIV panel accessions (0.195) and FB panel (0.116). Structure analysis in the US germplasm identified seven subpopulations representing all four major regions of the US cotton belt. Three subpopulations were identified within the landrace accessions. The highest fixation index (FST) of 0.65 was found between landrace accessions of Guatemala and the Plains-type cultivars from Southwest cotton region while the lowest FST values were between the germplasms of Mid-South and Southeastern regions. Genome wide association studies (GWAS) of photoperiod response using 600 phenotyped accessions identified 14 marker trait associations spread across eight Upland cotton chromosomes. Six of these marker trait associations, on four chromosomes (A10, D04, D05, and D06), showed significant epistatic interactions. Targeted genomic analysis identified regions with 19 candidate genes including Transcription factor Vascular Plant One-Zinc Finger 1 (VOZ1) and Protein Photoperiod-Independent Early Flowering 1 (PIE1) genes. Genetic diversity and genome wide analyses of photoperiod sensitivity in diverse cotton germplasms will enable the use of genomic tools to systematically utilize the tropical germplasm and its beneficial alleles for broadening the genetic base in Upland cotton.
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Affiliation(s)
- S Anjan Gowda
- Crop and Soil Sciences Department, North Carolina State University, Raleigh, NC, 27695, USA
| | - Fred M Bourland
- NE Research and Extension Center, Crop, Soil, and Environmental Sciences, University of Arkansas, Keiser, AR, 72351, USA
| | - Baljinder Kaur
- Crop and Soil Sciences Department, North Carolina State University, Raleigh, NC, 27695, USA
| | - Don C Jones
- Cotton Incorporated, 6399 Weston Parkway, Cary, NC, 27513, USA
| | - Vasu Kuraparthy
- Crop and Soil Sciences Department, North Carolina State University, Raleigh, NC, 27695, USA.
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27
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Joshi B, Singh S, Tiwari GJ, Kumar H, Boopathi NM, Jaiswal S, Adhikari D, Kumar D, Sawant SV, Iquebal MA, Jena SN. Genome-wide association study of fiber yield-related traits uncovers the novel genomic regions and candidate genes in Indian upland cotton ( Gossypium hirsutum L.). Front Plant Sci 2023; 14:1252746. [PMID: 37941674 PMCID: PMC10630025 DOI: 10.3389/fpls.2023.1252746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 09/11/2023] [Indexed: 11/10/2023]
Abstract
Upland cotton (Gossypium hirsutum L.) is a major fiber crop that is cultivated worldwide and has significant economic importance. India harbors the largest area for cotton cultivation, but its fiber yield is still compromised and ranks 22nd in terms of productivity. Genetic improvement of cotton fiber yield traits is one of the major goals of cotton breeding, but the understanding of the genetic architecture underlying cotton fiber yield traits remains limited and unclear. To better decipher the genetic variation associated with fiber yield traits, we conducted a comprehensive genome-wide association mapping study using 117 Indian cotton germplasm for six yield-related traits. To accomplish this, we generated 2,41,086 high-quality single nucleotide polymorphism (SNP) markers using genotyping-by-sequencing (GBS) methods. Population structure, PCA, kinship, and phylogenetic analyses divided the germplasm into two sub-populations, showing weak relatedness among the germplasms. Through association analysis, 205 SNPs and 134 QTLs were identified to be significantly associated with the six fiber yield traits. In total, 39 novel QTLs were identified in the current study, whereas 95 QTLs overlapped with existing public domain data in a comparative analysis. Eight QTLs, qGhBN_SCY_D6-1, qGhBN_SCY_D6-2, qGhBN_SCY_D6-3, qGhSI_LI_A5, qGhLI_SI_A13, qGhLI_SI_D9, qGhBW_SCY_A10, and qGhLP_BN_A8 were identified. Gene annotation of these fiber yield QTLs revealed 2,509 unique genes. These genes were predominantly enriched for different biological processes, such as plant cell wall synthesis, nutrient metabolism, and vegetative growth development in the gene ontology (GO) enrichment study. Furthermore, gene expression analysis using RNAseq data from 12 diverse cotton tissues identified 40 candidate genes (23 stable and 17 novel genes) to be transcriptionally active in different stages of fiber, ovule, and seed development. These findings have revealed a rich tapestry of genetic elements, including SNPs, QTLs, and candidate genes, and may have a high potential for improving fiber yield in future breeding programs for Indian cotton.
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Affiliation(s)
- Babita Joshi
- Plant Genetic Resources and Improvement, CSIR-National Botanical Research Institute, Lucknow, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Sanjay Singh
- Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Gopal Ji Tiwari
- Plant Genetic Resources and Improvement, CSIR-National Botanical Research Institute, Lucknow, India
| | - Harish Kumar
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Regional Research Station, Faridkot, Punjab, India
| | - Narayanan Manikanda Boopathi
- Department of Plant Biotechnology, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India
| | - Sarika Jaiswal
- Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Dibyendu Adhikari
- Plant Ecology and Climate Change Science, CSIR-National Botanical Research Institute, Lucknow, India
| | - Dinesh Kumar
- Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Samir V. Sawant
- Molecular Biology & Biotechnology, CSIR-National Botanical Research Institute, Lucknow, India
| | - Mir Asif Iquebal
- Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Satya Narayan Jena
- Plant Genetic Resources and Improvement, CSIR-National Botanical Research Institute, Lucknow, India
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Zheng L, Assane Hamidou A, Zhao X, Ouyang Z, Lin H, Li J, Zhang X, Luo K, Chen Y. Superoxide dismutase gene family in cassava revealed their involvement in environmental stress via genome-wide analysis. iScience 2023; 26:107801. [PMID: 37954140 PMCID: PMC10638475 DOI: 10.1016/j.isci.2023.107801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 07/29/2023] [Accepted: 08/29/2023] [Indexed: 11/14/2023] Open
Abstract
Superoxide dismutase (SOD) is a crucial metal-containing enzyme that plays a vital role in catalyzing the dismutation of superoxide anions, converting them into molecular oxygen and hydrogen peroxide, essential for enhancing plant stress tolerance. We identified 8 SOD genes (4 CSODs, 2 FSODs, and 2 MSODs) in cassava. Bioinformatics analyses provided insights into chromosomal location, phylogenetic relationships, gene structure, conserved motifs, and gene ontology annotations. MeSOD genes were classified into two groups through phylogenetic analysis, revealing evolutionary connections. Promoters of these genes harbored stress-related cis-elements. Duplication analysis indicated the functional significance of MeCSOD2/MeCSOD4 and MeMSOD1/MeMSOD2. Through qRT-PCR, MeCSOD2 responded to salt stress, MeMSOD2 to drought, and cassava bacterial blight. Silencing MeMSOD2 increased XpmCHN11 virulence, indicating MeMSOD2 is essential for cassava's defense against XpmCHN11 infection. These findings enhance our understanding of the SOD gene family's role in cassava and contribute to strategies for stress tolerance improvement.
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Affiliation(s)
- Linling Zheng
- Sanya Nanfan Research Institute of Hainan University, School of Life Sciences, Hainan University, Sanya 572025, China
| | - Abdoulaye Assane Hamidou
- Sanya Nanfan Research Institute of Hainan University, School of Life Sciences, Hainan University, Sanya 572025, China
| | - Xuerui Zhao
- Sanya Nanfan Research Institute of Hainan University, School of Life Sciences, Hainan University, Sanya 572025, China
| | - Zhiwei Ouyang
- HNU-ASU Joint International Tourism College, Hainan University, Haikou 570228, China
| | - Hongxin Lin
- Soil Fertilizer and Resources Environment Institute, Jiangxi Academy of Agricultural Sciences, Nanchang 330200, China
| | - Junyi Li
- Sanya Nanfan Research Institute of Hainan University, School of Life Sciences, Hainan University, Sanya 572025, China
| | - Xiaofei Zhang
- Alliance of Bioversity International and the International Center for Tropical Agriculture (CIAT), Cali 763537, Colombia
| | - Kai Luo
- Sanya Nanfan Research Institute of Hainan University, School of Life Sciences, Hainan University, Sanya 572025, China
| | - Yinhua Chen
- Sanya Nanfan Research Institute of Hainan University, School of Life Sciences, Hainan University, Sanya 572025, China
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29
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Mora-Palazuelos C, Villegas-Mercado CE, Avendaño-Félix M, Lizárraga-Verdugo E, Romero-Quintana JG, López-Gutiérrez J, Beltrán-Ontiveros S, Bermúdez M. The Role of ncRNAs in the Immune Dysregulation of Preeclampsia. Int J Mol Sci 2023; 24:15215. [PMID: 37894897 PMCID: PMC10607488 DOI: 10.3390/ijms242015215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Revised: 10/04/2023] [Accepted: 10/05/2023] [Indexed: 10/29/2023] Open
Abstract
The main complications causing practically 75% of all maternal deaths are severe bleeding, infections, and high blood pressure during pregnancy (preeclampsia (PE) and eclampsia). The usefulness of ncRNAs as clinical biomarkers has been explored in an extensive range of human diseases including pregnancy-related diseases such as PE. Immunological dysregulation show that the Th1/17:Th2/Treg ratio is "central and causal" to PE. However, there is evidence of the involvement of placenta-expressed miRNAs and lncRNAs in the immunological regulation of crucial processes of placenta development and function during pregnancy. Abnormal expression of these molecules is related to immune physiopathological processes that occur in PE. Therefore, this work aims to describe the importance of miRNAs and lncRNAs in immune dysregulation in PE. Interestingly, multiple ncRNAS are involved in the immune dysregulation of PE participating in type 1 immune response regulation, immune microenvironment regulation in placenta promoting inflammatory factors, trophoblast cell invasion in women with Early-Onset PE (EOPE), placental development, and angiogenesis, promotion of population of M1 and M2, proliferation, invasion, and migration of placental trophoblast cells, and promotion of invasion and autophagy through vias such as PI3K/AKT/mTOR, VEGF/VEGFR1, and TLR9/STAT3.
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Affiliation(s)
- Carlos Mora-Palazuelos
- Health Sciences Research and Teaching Center, Autonomous University of Sinaloa, Culiacan 80010, Sinaloa, Mexico; (C.M.-P.); (E.L.-V.); (S.B.-O.)
| | | | - Mariana Avendaño-Félix
- Faculty of Dentistry, Autonomous University of Sinaloa, Culiacan 80010, Sinaloa, Mexico;
| | - Erik Lizárraga-Verdugo
- Health Sciences Research and Teaching Center, Autonomous University of Sinaloa, Culiacan 80010, Sinaloa, Mexico; (C.M.-P.); (E.L.-V.); (S.B.-O.)
| | | | - Jorge López-Gutiérrez
- Faculty of Biology, Autonomous University of Sinaloa, Culiacan 80010, Sinaloa, Mexico;
| | - Saúl Beltrán-Ontiveros
- Health Sciences Research and Teaching Center, Autonomous University of Sinaloa, Culiacan 80010, Sinaloa, Mexico; (C.M.-P.); (E.L.-V.); (S.B.-O.)
| | - Mercedes Bermúdez
- Faculty of Dentistry, Autonomous University of Chihuahua, Chihuahua 31110, Chihuahua, Mexico;
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30
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LaFave Q, Etukuri SP, Courtney CL, Kothari N, Rife TW, Saski CA. A Simplified Microscopy Technique to Rapidly Characterize Individual Fiber Traits in Cotton. Methods Protoc 2023; 6:92. [PMID: 37888024 PMCID: PMC10609321 DOI: 10.3390/mps6050092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 09/19/2023] [Accepted: 09/29/2023] [Indexed: 10/28/2023] Open
Abstract
Recent advances in phenotyping techniques have substantially improved the ability to mitigate type-II errors typically associated with high variance in phenotyping data sets. In particular, the implementation of automated techniques such as the High-Volume Instrument (HVI) and the Advanced Fiber Information System (AFIS) have significantly enhanced the reproducibility and standardization of various fiber quality measurements in cotton. However, micronaire is not a direct measure of either maturity or fineness, lending to limitations. AFIS only provides a calculated form of fiber diameter, not a direct measure, justifying the need for a visual-based reference method. Obtaining direct measurements of individual fibers through cross-sectional analysis and electron microscopy is a widely accepted standard but is time-consuming and requires the use of hazardous chemicals and specialized equipment. In this study, we present a simplified fiber histology and image acquisition technique that is both rapid and reproducible. We also introduce an automated image analysis program that utilizes machine learning to differentiate good fibers from bad and to subsequently collect critical phenotypic measurements. These methods have the potential to improve the efficiency of cotton fiber phenotyping, allowing for greater precision in unravelling the genetic architecture of critical traits such as fiber diameter, shape, areas of the secondary cell wall/lumen, and others, ultimately leading to larger genetic gains in fiber quality and improvements in cotton.
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Affiliation(s)
- Quinn LaFave
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC 29634, USA; (Q.L.); (S.P.E.); (C.L.C.)
| | - Shalini P. Etukuri
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC 29634, USA; (Q.L.); (S.P.E.); (C.L.C.)
| | - Chaney L. Courtney
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC 29634, USA; (Q.L.); (S.P.E.); (C.L.C.)
| | | | - Trevor W. Rife
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC 29634, USA; (Q.L.); (S.P.E.); (C.L.C.)
| | - Christopher A. Saski
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC 29634, USA; (Q.L.); (S.P.E.); (C.L.C.)
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31
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Gao L, Kantar MB, Moxley D, Ortiz-Barrientos D, Rieseberg LH. Crop adaptation to climate change: An evolutionary perspective. Mol Plant 2023; 16:1518-1546. [PMID: 37515323 DOI: 10.1016/j.molp.2023.07.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 06/20/2023] [Accepted: 07/26/2023] [Indexed: 07/30/2023]
Abstract
The disciplines of evolutionary biology and plant and animal breeding have been intertwined throughout their development, with responses to artificial selection yielding insights into the action of natural selection and evolutionary biology providing statistical and conceptual guidance for modern breeding. Here we offer an evolutionary perspective on a grand challenge of the 21st century: feeding humanity in the face of climate change. We first highlight promising strategies currently under way to adapt crops to current and future climate change. These include methods to match crop varieties with current and predicted environments and to optimize breeding goals, management practices, and crop microbiomes to enhance yield and sustainable production. We also describe the promise of crop wild relatives and recent technological innovations such as speed breeding, genomic selection, and genome editing for improving environmental resilience of existing crop varieties or for developing new crops. Next, we discuss how methods and theory from evolutionary biology can enhance these existing strategies and suggest novel approaches. We focus initially on methods for reconstructing the evolutionary history of crops and their pests and symbionts, because such historical information provides an overall framework for crop-improvement efforts. We then describe how evolutionary approaches can be used to detect and mitigate the accumulation of deleterious mutations in crop genomes, identify alleles and mutations that underlie adaptation (and maladaptation) to agricultural environments, mitigate evolutionary trade-offs, and improve critical proteins. Continuing feedback between the evolution and crop biology communities will ensure optimal design of strategies for adapting crops to climate change.
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Affiliation(s)
- Lexuan Gao
- CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200032, China
| | - Michael B Kantar
- Department of Tropical Plant & Soil Sciences, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Dylan Moxley
- Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, BC, Canada
| | - Daniel Ortiz-Barrientos
- School of Biological Sciences and Australian Research Council Centre of Excellence for Plant Success in Nature and Agriculture, The University of Queensland, Brisbane, QLD, Australia
| | - Loren H Rieseberg
- Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, BC, Canada.
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32
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Zhao H, Huang X, Yang Z, Li F, Ge X. Synergistic optimization of crops by combining early maturation with other agronomic traits. Trends Plant Sci 2023; 28:1178-1191. [PMID: 37208203 DOI: 10.1016/j.tplants.2023.04.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 04/16/2023] [Accepted: 04/24/2023] [Indexed: 05/21/2023]
Abstract
Many newly created early maturing varieties exhibit poor stress resistance and low yield, whereas stress-resistant varieties are typically late maturing. For this reason, the polymerization of early maturity and other desired agronomic qualities requires overcoming the negative connection between early maturity, multi-resistance, and yield, which presents a formidable challenge in current breeding techniques. We review the most salient constraints of early maturity breeding in current crop planting practices and the molecular mechanisms of different maturation timeframes in diverse crops from their origin center to production areas. We explore current breeding tactics and the future direction of crop breeding and the issues that must be resolved to accomplish the polymerization of desirable traits in light of the current obstacles and limitations.
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Affiliation(s)
- Hang Zhao
- Zhengzhou Research Base, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Zhengzhou University, Zhengzhou 450001, China; National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China; College of Life Sciences, Qufu Normal University, Qufu, 273165, China
| | - Xianzhong Huang
- Center for Crop Biotechnology, College of Agriculture, Anhui Science and Technology University, Chuzhou, China
| | - Zhaoen Yang
- Zhengzhou Research Base, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Zhengzhou University, Zhengzhou 450001, China; National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China
| | - Fuguang Li
- Zhengzhou Research Base, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Zhengzhou University, Zhengzhou 450001, China; National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China; Western Agricultural Research Center, Chinese Academy of Agricultural Sciences, Changji, 831100 Xinjiang, China; Hainan Yazhou Bay Seed Lab, Sanya 572000, Hainan, China.
| | - Xiaoyang Ge
- Zhengzhou Research Base, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Zhengzhou University, Zhengzhou 450001, China; National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China; Western Agricultural Research Center, Chinese Academy of Agricultural Sciences, Changji, 831100 Xinjiang, China; Hainan Yazhou Bay Seed Lab, Sanya 572000, Hainan, China.
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Xie T, Shen S, Hu R, Li W, Wang J. Screening, Identification, and Growth Promotion of Antagonistic Endophytes Associated with Chenopodium quinoa Against Quinoa Pathogens. Phytopathology 2023; 113:1839-1852. [PMID: 37948615 DOI: 10.1094/phyto-11-22-0419-r] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2023]
Abstract
Fungal disease is one of the important reasons for crop yield reduction. Isolation of important endophytes with biocontrol and growth-promoting effects is of great significance for the exploitation of beneficial microbial resources and the biological control of crop fungal diseases. In this study, endophytes from roots, stems, and leaves of quinoa at different growth and development stages were isolated and purified; then the antagonistic activity and growth-promoting characteristics of antagonistic endophytes were determined. Finally, the antagonistic endophytes were identified by morphological characteristics and ITS/16S rRNA sequence analysis. Our results showed that 122 endophytic fungi and 371 endophytic bacteria were isolated from quinoa, of which three endophytic fungi and seven endophytic bacteria were screened that had inhibitory activity against quinoa pathogenic fungi. Most of the antagonistic strains could produce indole-3 acetic acid and had the ability to dissolve organic phosphorus. In addition, the bacterial suspension of endophytic bacteria had the ability to promote the seed germination and plant growth of quinoa. The endophytic fungi with antagonistic activity were identified as Penicillium raperi and P. pulvillorum; the endophytic bacteria were identified as Bacillus paralicheniformis, B. tequilensis, and B. velezensis, respectively. The strains of quinoa endophytes in this study can provide rich microbial resources and a theoretical basis for biological control of plant fungal diseases and agricultural production.
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Affiliation(s)
- Tianyan Xie
- Academy of Agriculture and Forestry Sciences, Qinghai University, Xining 810016, Qinghai, China
- Key Laboratory of Potato Breeding of Qinghai Province, Xining 810016, Qinghai, China
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810016, Qinghai, China
- Key Laboratory of Qinghai Tibet Plateau Biotechnology, Ministry of Education, Xining 810016, Qinghai, China
- Northwest Potato Engineering Research Center, Ministry of Education, Xining 810016, Qinghai, China
- Qinghai Qaidam Vocational and Technical College, Delingha 817099, Qinghai, China
| | - Shuo Shen
- Academy of Agriculture and Forestry Sciences, Qinghai University, Xining 810016, Qinghai, China
- Key Laboratory of Potato Breeding of Qinghai Province, Xining 810016, Qinghai, China
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810016, Qinghai, China
- Key Laboratory of Qinghai Tibet Plateau Biotechnology, Ministry of Education, Xining 810016, Qinghai, China
- Northwest Potato Engineering Research Center, Ministry of Education, Xining 810016, Qinghai, China
| | - Rong Hu
- Academy of Agriculture and Forestry Sciences, Qinghai University, Xining 810016, Qinghai, China
- Key Laboratory of Potato Breeding of Qinghai Province, Xining 810016, Qinghai, China
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810016, Qinghai, China
- Key Laboratory of Qinghai Tibet Plateau Biotechnology, Ministry of Education, Xining 810016, Qinghai, China
- Northwest Potato Engineering Research Center, Ministry of Education, Xining 810016, Qinghai, China
| | - Wei Li
- Academy of Agriculture and Forestry Sciences, Qinghai University, Xining 810016, Qinghai, China
- Key Laboratory of Potato Breeding of Qinghai Province, Xining 810016, Qinghai, China
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810016, Qinghai, China
- Key Laboratory of Qinghai Tibet Plateau Biotechnology, Ministry of Education, Xining 810016, Qinghai, China
- Northwest Potato Engineering Research Center, Ministry of Education, Xining 810016, Qinghai, China
| | - Jian Wang
- Academy of Agriculture and Forestry Sciences, Qinghai University, Xining 810016, Qinghai, China
- Key Laboratory of Potato Breeding of Qinghai Province, Xining 810016, Qinghai, China
- State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810016, Qinghai, China
- Key Laboratory of Qinghai Tibet Plateau Biotechnology, Ministry of Education, Xining 810016, Qinghai, China
- Northwest Potato Engineering Research Center, Ministry of Education, Xining 810016, Qinghai, China
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34
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Sardar A. Genetic amelioration of fruit and vegetable crops to increase biotic and abiotic stress resistance through CRISPR Genome Editing. Front Plant Sci 2023; 14:1260102. [PMID: 37841604 PMCID: PMC10570431 DOI: 10.3389/fpls.2023.1260102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 08/28/2023] [Indexed: 10/17/2023]
Abstract
Environmental changes and increasing population are major concerns for crop production and food security as a whole. To address this, researchers had focussed on the improvement of cereals and pulses and have made considerable progress till the beginning of this decade. However, cereals and pulses together, without vegetables and fruits, are inadequate to meet the dietary and nutritional demands of human life. Production of good quality vegetables and fruits is highly challenging owing to their perishable nature and short shelf life as well as abiotic and biotic stresses encountered during pre- and post-harvest. Genetic engineering approaches to produce good quality, to increase shelf life and stress-resistance, and to change the time of flowering and fruit ripening by introducing foreign genes to produce genetically modified crops were quite successful. However, several biosafety concerns, such as the risk of transgene-outcrossing, limited their production, marketing, and consumption. Modern genome editing techniques, like the CRISPR/Cas9 system, provide a perfect solution in this scenario, as it can produce transgene-free genetically edited plants. Hence, these genetically edited plants can easily satisfy the biosafety norms for crop production and consumption. This review highlights the potential of the CRISPR/Cas9 system for the successful generation of abiotic and biotic stress resistance and thereby improving the quality, yield, and overall productivity of vegetables and fruits.
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Affiliation(s)
- Atish Sardar
- Department of Botany, Jogesh Chandra Chaudhuri College, West Bengal, Kolkata, India
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Yu B, Liu N, Huang L, Luo H, Zhou X, Lei Y, Yan L, Wang X, Chen W, Kang Y, Ding Y, Jin G, Pandey MK, Janila P, Kishan Sudini H, Varshney RK, Jiang H, Liu S, Liao B. Identification and application of a candidate gene AhAftr1 for aflatoxin production resistance in peanut seed (Arachis hypogaea L.). J Adv Res 2023:S2090-1232(23)00263-1. [PMID: 37739123 DOI: 10.1016/j.jare.2023.09.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Revised: 09/15/2023] [Accepted: 09/17/2023] [Indexed: 09/24/2023] Open
Abstract
INTRODUCTION Peanut is susceptible to infection of Aspergillus fungi and conducive to aflatoxin contamination, hence developing aflatoxin-resistant variety is highly meaningful. Identifying functional genes or loci conferring aflatoxin resistance and molecular diagnostic marker are crucial for peanut breeding. OBJECTIVES This work aims to (1) identify candidate gene for aflatoxin production resistance, (2) reveal the related resistance mechanism, and (3) develop diagnostic marker for resistance breeding program. METHODS Resistance to aflatoxin production in a recombined inbred line (RIL) population derived from a high-yielding variety Xuhua13 crossed with an aflatoxin-resistant genotype Zhonghua 6 was evaluated under artificial inoculation for three consecutive years. Both genetic linkage analysis and QTL-seq were conducted for QTL mapping. The candidate gene was further fine-mapped using a secondary segregation mapping population and validated by transgenic experiments. RNA-Seq analysis among resistant and susceptible RILs was used to reveal the resistance pathway for the candidate genes. RESULTS The major effect QTL qAFTRA07.1 for aflatoxin production resistance was mapped to a 1.98 Mbp interval. A gene, AhAftr1 (Arachis hypogaea Aflatoxin resistance 1), was detected structure variation (SV) in leucine rich repeat (LRR) domain of its production, and involved in disease resistance response through the effector-triggered immunity (ETI) pathway. Transgenic plants with overexpression of AhAftr1(ZH6) exhibited 57.3% aflatoxin reduction compared to that of AhAftr1(XH13). A molecular diagnostic marker AFTR.Del.A07 was developed based on the SV. Thirty-six lines, with aflatoxin content decrease by over 77.67% compared to the susceptible control Zhonghua12 (ZH12), were identified from a panel of peanut germplasm accessions and breeding lines through using AFTR.Del.A07. CONCLUSION Our findings would provide insights of aflatoxin production resistance mechanisms and laid meaningful foundation for further breeding programs.
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Affiliation(s)
- Bolun Yu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture Oil Crops Research Institute (OCRI), Chinese Academy of Agricultural Sciences (CAAS), Wuhan, China
| | - Nian Liu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture Oil Crops Research Institute (OCRI), Chinese Academy of Agricultural Sciences (CAAS), Wuhan, China
| | - Li Huang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture Oil Crops Research Institute (OCRI), Chinese Academy of Agricultural Sciences (CAAS), Wuhan, China
| | - Huaiyong Luo
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture Oil Crops Research Institute (OCRI), Chinese Academy of Agricultural Sciences (CAAS), Wuhan, China
| | - Xiaojing Zhou
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture Oil Crops Research Institute (OCRI), Chinese Academy of Agricultural Sciences (CAAS), Wuhan, China
| | - Yong Lei
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture Oil Crops Research Institute (OCRI), Chinese Academy of Agricultural Sciences (CAAS), Wuhan, China
| | - Liying Yan
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture Oil Crops Research Institute (OCRI), Chinese Academy of Agricultural Sciences (CAAS), Wuhan, China
| | - Xin Wang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture Oil Crops Research Institute (OCRI), Chinese Academy of Agricultural Sciences (CAAS), Wuhan, China
| | - Weigang Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture Oil Crops Research Institute (OCRI), Chinese Academy of Agricultural Sciences (CAAS), Wuhan, China
| | - Yanping Kang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture Oil Crops Research Institute (OCRI), Chinese Academy of Agricultural Sciences (CAAS), Wuhan, China
| | - Yingbin Ding
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture Oil Crops Research Institute (OCRI), Chinese Academy of Agricultural Sciences (CAAS), Wuhan, China
| | - Gaorui Jin
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture Oil Crops Research Institute (OCRI), Chinese Academy of Agricultural Sciences (CAAS), Wuhan, China
| | - Manish K Pandey
- International Crops Research Institute for the Semi-Aird Tropics (ICRISAT), Hyderabad, Telangana, India
| | - Pasupuleti Janila
- International Crops Research Institute for the Semi-Aird Tropics (ICRISAT), Hyderabad, Telangana, India
| | - Hari Kishan Sudini
- International Crops Research Institute for the Semi-Aird Tropics (ICRISAT), Hyderabad, Telangana, India
| | - Rajeev K Varshney
- Centre for Crop and Food Innovation, State Agricultural Biotechnology Centre, Food Futures Institute, Murdoch University, Murdoch, Australia
| | - Huifang Jiang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture Oil Crops Research Institute (OCRI), Chinese Academy of Agricultural Sciences (CAAS), Wuhan, China
| | - Shengyi Liu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture Oil Crops Research Institute (OCRI), Chinese Academy of Agricultural Sciences (CAAS), Wuhan, China
| | - Boshou Liao
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture Oil Crops Research Institute (OCRI), Chinese Academy of Agricultural Sciences (CAAS), Wuhan, China.
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Naveed S, Gandhi N, Billings G, Jones Z, Campbell BT, Jones M, Rustgi S. Alterations in Growth Habit to Channel End-of-Season Perennial Reserves towards Increased Yield and Reduced Regrowth after Defoliation in Upland Cotton ( Gossypium hirsutum L.). Int J Mol Sci 2023; 24:14174. [PMID: 37762483 PMCID: PMC10532291 DOI: 10.3390/ijms241814174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 09/03/2023] [Accepted: 09/12/2023] [Indexed: 09/29/2023] Open
Abstract
Cotton (Gossypium spp.) is the primary source of natural textile fiber in the U.S. and a major crop in the Southeastern U.S. Despite constant efforts to increase the cotton fiber yield, the yield gain has stagnated. Therefore, we undertook a novel approach to improve the cotton fiber yield by altering its growth habit from perennial to annual. In this effort, we identified genotypes with high-expression alleles of five floral induction and meristem identity genes (FT, SOC1, FUL, LFY, and AP1) from an Upland cotton mini-core collection and crossed them in various combinations to develop cotton lines with annual growth habit, optimal flowering time, and enhanced productivity. To facilitate the characterization of genotypes with the desired combinations of stacked alleles, we identified molecular markers associated with the gene expression traits via genome-wide association analysis using a 63 K SNP Array. Over 14,500 SNPs showed polymorphism and were used for association analysis. A total of 396 markers showed associations with expression traits. Of these 396 markers, 159 were mapped to genes, 50 to untranslated regions, and 187 to random genomic regions. Biased genomic distribution of associated markers was observed where more trait-associated markers mapped to the cotton D sub-genome. Many quantitative trait loci coincided at specific genomic regions. This observation has implications as these traits could be bred together. The analysis also allowed the identification of candidate regulators of the expression patterns of these floral induction and meristem identity genes whose functions will be validated.
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Affiliation(s)
- Salman Naveed
- Department of Plant and Environmental Sciences, Clemson University Pee Dee Research and Education Center, Florence, SC 29506, USA; (S.N.); (M.J.)
| | - Nitant Gandhi
- Department of Plant and Environmental Sciences, Clemson University Pee Dee Research and Education Center, Florence, SC 29506, USA; (S.N.); (M.J.)
| | - Grant Billings
- Department of Crop & Soil Sciences, North Carolina State University, Raleigh, NC 27695, USA
| | - Zachary Jones
- Department of Plant and Environmental Sciences, Clemson University Pee Dee Research and Education Center, Florence, SC 29506, USA; (S.N.); (M.J.)
| | - B. Todd Campbell
- USDA-ARS Coastal Plains Soil, Water, and Plant Research Center, Florence, SC 29501, USA;
| | - Michael Jones
- Department of Plant and Environmental Sciences, Clemson University Pee Dee Research and Education Center, Florence, SC 29506, USA; (S.N.); (M.J.)
| | - Sachin Rustgi
- Department of Plant and Environmental Sciences, Clemson University Pee Dee Research and Education Center, Florence, SC 29506, USA; (S.N.); (M.J.)
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Reynolds J, Loeffler RS, Leigh PJ, Lopez HA, Yoon JY. Recent Uses of Paper Microfluidics in Isothermal Nucleic Acid Amplification Tests. Biosensors (Basel) 2023; 13:885. [PMID: 37754119 PMCID: PMC10526735 DOI: 10.3390/bios13090885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 09/08/2023] [Accepted: 09/11/2023] [Indexed: 09/28/2023]
Abstract
Isothermal nucleic acid amplification tests have recently gained popularity over polymerase chain reaction (PCR), as they only require a constant temperature and significantly simplify nucleic acid amplification. Recently, numerous attempts have been made to incorporate paper microfluidics into these isothermal amplification tests. Paper microfluidics (including lateral flow strips) have been used to extract nucleic acids, amplify the target gene, and detect amplified products, all toward automating the process. We investigated the literature from 2020 to the present, i.e., since the onset of the COVID-19 pandemic, during which a significant surge in isothermal amplification tests has been observed. Paper microfluidic detection has been used extensively for recombinase polymerase amplification (RPA) and its related methods, along with loop-mediated isothermal amplification (LAMP) and rolling circle amplification (RCA). Detection was conducted primarily with colorimetric and fluorometric methods, although a few publications demonstrated flow distance- and surface-enhanced Raman spectroscopic (SERS)-based detection. A good number of publications could be found that demonstrated both amplification and detection on paper microfluidic platforms. A small number of publications could be found that showed extraction or all three procedures (i.e., fully integrated systems) on paper microfluidic platforms, necessitating the need for future work.
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Affiliation(s)
- Jocelyn Reynolds
- Department of Biomedical Engineering, The University of Arizona, Tucson, AZ 85721, USA; (J.R.); (R.S.L.); (P.J.L.)
| | - Reid S. Loeffler
- Department of Biomedical Engineering, The University of Arizona, Tucson, AZ 85721, USA; (J.R.); (R.S.L.); (P.J.L.)
| | - Preston J. Leigh
- Department of Biomedical Engineering, The University of Arizona, Tucson, AZ 85721, USA; (J.R.); (R.S.L.); (P.J.L.)
| | - Hannah A. Lopez
- Department of Neuroscience, The University of Arizona, Tucson, AZ 85721, USA;
| | - Jeong-Yeol Yoon
- Department of Biomedical Engineering, The University of Arizona, Tucson, AZ 85721, USA; (J.R.); (R.S.L.); (P.J.L.)
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Sun F, Yang Y, Wang P, Ma J, Du X. Quantitative trait loci and candidate genes for yield-related traits of upland cotton revealed by genome-wide association analysis under drought conditions. BMC Genomics 2023; 24:531. [PMID: 37679709 PMCID: PMC10485960 DOI: 10.1186/s12864-023-09640-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 08/30/2023] [Indexed: 09/09/2023] Open
Abstract
BACKGROUND Due to the influence of extreme weather, the environment in China's main cotton-producing areas is prone to drought stress conditions, which affect the growth and development of cotton and lead to a decrease in cotton yield. RESULTS In this study, 188 upland cotton germplasm resources were phenotyped for data of 8 traits (including 3 major yield traits) under drought conditions in three environments for two consecutive years. Correlation analysis revealed significant positive correlations between the three yield traits. Genetic analysis showed that the estimated heritability of the seed cotton index (SC) under drought conditions was the highest (80.81%), followed by that of boll weight (BW) (80.64%) and the lint cotton index (LC) (70.49%) With genome-wide association study (GWAS) analysis, a total of 75 quantitative trait loci (QTLs) were identified, including two highly credible new QTL hotspots. Three candidate genes (Gh_D09G064400, Gh_D10G261000 and Gh_D10G254000) located in the two new QTL hotspots, QTL51 and QTL55, were highly expressed in the early stage of fiber development and showed significant correlations with SC, LC and BW. The expression of three candidate genes in two extreme materials after drought stress was analyzed by qRT-PCR, and the expression of these two materials in fibers at 15, 20 and 25 DPA. The expression of these three candidate genes was significantly upregulated after drought stress and was significantly higher in drought-tolerant materials than in drought-sensitive materials. In addition, the expression levels of the three candidate genes were higher in the early stage of fiber development (15 DPA), and the expression levels in drought-tolerant germplasm were higher than those in drought-sensitive germplasm. These three candidate genes may play an important role in determining cotton yield under drought conditions. CONCLUSIONS This study is helpful for understanding the regulatory genes affecting cotton yield under drought conditions and provides germplasm and candidate gene resources for breeding high-yield cotton varieties under these conditions.
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Affiliation(s)
- Fenglei Sun
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, 455000, China
- Hainan Yazhou Bay Seed Laboratory, Sanya, Hainan, 572000, China
| | - Yanlong Yang
- Research Institute of Economic Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, 830091, China.
| | - Penglong Wang
- Research Institute of Economic Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, 830091, China
| | - Jun Ma
- Research Institute of Economic Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, 830091, China
| | - Xiongming Du
- State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, 455000, China.
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Liu Q, Wang Y, Fu Y, Du L, Zhang Y, Wang Q, Sun R, Ai N, Feng G, Li C. Genetic dissection of lint percentage in short-season cotton using combined QTL mapping and RNA-seq. Theor Appl Genet 2023; 136:205. [PMID: 37668671 DOI: 10.1007/s00122-023-04453-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 08/23/2023] [Indexed: 09/06/2023]
Abstract
KEY MESSAGE In total, 17 QTLs for lint percentage in short-season cotton, including three stable QTLs, were detected. Twenty-eight differentially expressed genes located within the stable QTLs were identified, and two genes were validated by qRT-PCR. The breeding and use of short-season cotton have significant values in addressing the question of occupying farmlands with either cotton or cereals. However, the fiber yields of short-season cotton varieties are significantly lower than those of middle- and late-maturing varieties. How to effectively improve the fiber yield of short-season cotton has become a focus of cotton research. Here, a high-density genetic map was constructed using genome resequencing and an RIL population generated from the hybridization of two short-season cotton accessions, Dong3 and Dong4. The map contained 4960 bin markers across the 26 cotton chromosomes and spanned 3971.08 cM, with an average distance of 0.80 cM between adjacent markers. Based on the genetic map, quantitative trait locus (QTL) mapping for lint percentage (LP, %), an important yield component trait, was performed. In total, 17 QTLs for LP, including three stable QTLs, qLP-A02, qLP-D04, and qLP-D12, were detected. Three out of 11 non-redundant QTLs overlapped with previously reported QTLs, whereas the other eight were novel QTLs. A total of 28 differentially expressed genes associated with the three stable QTLs were identified using RNA-seq of ovules and fibers at different seed developmental stages from the parental materials. The two genes, Ghir_A02G017640 and Ghir_A02G018500, may be related to LP as determined by further qRT-PCR validation. This study provides useful information for the genetic dissection of LP and promotes the molecular breeding of short-season cotton.
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Affiliation(s)
- Qiao Liu
- School of Life Science and Technology, Henan Institute of Science and Technology, Xinxiang, 453003, China
| | - Yuanyuan Wang
- School of Life Science and Technology, Henan Institute of Science and Technology, Xinxiang, 453003, China
| | - Yuanzhi Fu
- School of Life Science and Technology, Henan Institute of Science and Technology, Xinxiang, 453003, China
| | - Lei Du
- Life Science College, Yuncheng University, Yuncheng, 044000, China
| | - Yilin Zhang
- Life Science College, Yuncheng University, Yuncheng, 044000, China
| | - Qinglian Wang
- School of Life Science and Technology, Henan Institute of Science and Technology, Xinxiang, 453003, China
| | - Runrun Sun
- School of Life Science and Technology, Henan Institute of Science and Technology, Xinxiang, 453003, China
| | - Nijiang Ai
- Shihezi Academy of Agricultural Sciences, Shihezi, 832000, China
| | - Guoli Feng
- Shihezi Academy of Agricultural Sciences, Shihezi, 832000, China
| | - Chengqi Li
- Life Science College, Yuncheng University, Yuncheng, 044000, China.
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Cen Y, Geng S, Gao L, Wang X, Yan X, Hou Y, Wang P. Genome-Wide Identification and Expression Analysis of RLCK-VII Subfamily Genes Reveal Their Roles in Stress Responses of Upland Cotton. Plants (Basel) 2023; 12:3170. [PMID: 37687414 PMCID: PMC10490013 DOI: 10.3390/plants12173170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 08/14/2023] [Accepted: 08/31/2023] [Indexed: 09/10/2023]
Abstract
Receptor-like cytoplasmic kinase VII (RLCK-VII) subfamily members are vital players in plant innate immunity and are also involved in plant development and abiotic stress tolerance. As a widely cultivated textile crop, upland cotton (Gossypium hirsutum) attaches great importance to the cotton industry worldwide. To obtain details of the composition, phylogeny, and putative function of RLCK-VII genes in upland cotton, genome-wide identification, evolutionary event analysis, and expression pattern examination of RLCK-VII subfamily genes in G. hirsutum were performed. There are 129 RLCK-VII members in upland cotton (GhRLCKs) and they were divided into nine groups based on their phylogenetic relationships. The gene structure and sequence features are relatively conserved within each group, which were divided based on their phylogenetic relationships, and consistent with those in Arabidopsis. The phylogenetic analysis results showed that RLCK-VII subfamily genes evolved in plants before the speciation of Arabidopsis and cotton, and segmental duplication was the major factor that caused the expansion of GhRLCKs. The diverse expression patterns of GhRLCKs in response to abiotic stresses (temperature, salt, and drought) and V. dahliae infection were observed. The candidates that may be involved in cotton's response to these stresses are highlighted. GhRLCK7 (GhRLCK7A and D), which is notably induced by V. dahliae infection, was demonstrated to positively regulate cotton defense against V. dahliae by the loss-of-function assay in cotton. These findings shed light on the details of the RLCK-VII subfamily in cotton and provide a scaffold for the further function elucidation and application of GhRLCKs for the germplasm innovation of cotton.
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Affiliation(s)
- Yuhan Cen
- Innovation Center of Pesticide Research, Department of Applied Chemistry, College of Science, China Agricultural University, Beijing 100193, China (S.G.)
- Key Laboratory of National Forestry and Grassland Administration on Pest Chemical Control, China Agricultural University, Beijing 100193, China
| | - Shiyi Geng
- Innovation Center of Pesticide Research, Department of Applied Chemistry, College of Science, China Agricultural University, Beijing 100193, China (S.G.)
- Key Laboratory of National Forestry and Grassland Administration on Pest Chemical Control, China Agricultural University, Beijing 100193, China
| | - Linying Gao
- Innovation Center of Pesticide Research, Department of Applied Chemistry, College of Science, China Agricultural University, Beijing 100193, China (S.G.)
| | - Xinyue Wang
- Innovation Center of Pesticide Research, Department of Applied Chemistry, College of Science, China Agricultural University, Beijing 100193, China (S.G.)
- Key Laboratory of National Forestry and Grassland Administration on Pest Chemical Control, China Agricultural University, Beijing 100193, China
| | - Xin Yan
- Innovation Center of Pesticide Research, Department of Applied Chemistry, College of Science, China Agricultural University, Beijing 100193, China (S.G.)
| | - Yuxia Hou
- Innovation Center of Pesticide Research, Department of Applied Chemistry, College of Science, China Agricultural University, Beijing 100193, China (S.G.)
| | - Ping Wang
- Innovation Center of Pesticide Research, Department of Applied Chemistry, College of Science, China Agricultural University, Beijing 100193, China (S.G.)
- Key Laboratory of National Forestry and Grassland Administration on Pest Chemical Control, China Agricultural University, Beijing 100193, China
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Li L, Hu Y, Wang Y, Zhao S, You Y, Liu R, Wang J, Yan M, Zhao F, Huang J, Yu S, Feng Z. Identification of novel candidate loci and genes for seed vigor-related traits in upland cotton ( Gossypium hirsutum L.) via GWAS. Front Plant Sci 2023; 14:1254365. [PMID: 37719213 PMCID: PMC10503134 DOI: 10.3389/fpls.2023.1254365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 08/18/2023] [Indexed: 09/19/2023]
Abstract
Seed vigor (SV) is a crucial trait determining the quality of crop seeds. Currently, over 80% of China's cotton-planting area is in Xinjiang Province, where a fully mechanized planting model is adopted, accounting for more than 90% of the total fiber production. Therefore, identifying SV-related loci and genes is crucial for improving cotton yield in Xinjiang. In this study, three seed vigor-related traits, including germination potential, germination rate, and germination index, were investigated across three environments in a panel of 355 diverse accessions based on 2,261,854 high-quality single-nucleotide polymorphisms (SNPs). A total of 26 significant SNPs were detected and divided into six quantitative trait locus regions, including 121 predicted candidate genes. By combining gene expression, gene annotation, and haplotype analysis, two novel candidate genes (Ghir_A09G002730 and Ghir_D03G009280) within qGR-A09-1 and qGI/GP/GR-D03-3 were associated with vigor-related traits, and Ghir_A09G002730 was found to be involved in artificial selection during cotton breeding by population genetic analysis. Thus, understanding the genetic mechanisms underlying seed vigor-related traits in cotton could help increase the efficiency of direct seeding by molecular marker-assisted selection breeding.
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Affiliation(s)
- Libei Li
- The Key Laboratory for Quality Improvement of Agricultural Products of Zhejiang Province, College of Advanced Agricultural Sciences, Zhejiang A&F University, Lin’an, Hangzhou, China
| | - Yu Hu
- The Key Laboratory for Quality Improvement of Agricultural Products of Zhejiang Province, College of Advanced Agricultural Sciences, Zhejiang A&F University, Lin’an, Hangzhou, China
| | - Yongbo Wang
- Cotton Sciences Research Institute of Hunan, Changde, Hunan, China
| | - Shuqi Zhao
- Cotton and Wheat Research Institute, Huanggang Academy of Agricultural Sciences, Huanggang, Hubei, China
| | - Yijin You
- The Key Laboratory for Quality Improvement of Agricultural Products of Zhejiang Province, College of Advanced Agricultural Sciences, Zhejiang A&F University, Lin’an, Hangzhou, China
| | - Ruijie Liu
- The Key Laboratory for Quality Improvement of Agricultural Products of Zhejiang Province, College of Advanced Agricultural Sciences, Zhejiang A&F University, Lin’an, Hangzhou, China
| | - Jiayi Wang
- The Key Laboratory for Quality Improvement of Agricultural Products of Zhejiang Province, College of Advanced Agricultural Sciences, Zhejiang A&F University, Lin’an, Hangzhou, China
| | - Mengyuan Yan
- The Key Laboratory for Quality Improvement of Agricultural Products of Zhejiang Province, College of Advanced Agricultural Sciences, Zhejiang A&F University, Lin’an, Hangzhou, China
| | - Fengli Zhao
- State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou, China
| | - Juan Huang
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, China
| | - Shuxun Yu
- The Key Laboratory for Quality Improvement of Agricultural Products of Zhejiang Province, College of Advanced Agricultural Sciences, Zhejiang A&F University, Lin’an, Hangzhou, China
| | - Zhen Feng
- The Key Laboratory for Quality Improvement of Agricultural Products of Zhejiang Province, College of Advanced Agricultural Sciences, Zhejiang A&F University, Lin’an, Hangzhou, China
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Yao D, Zhou J, Zhang A, Wang J, Liu Y, Wang L, Pi W, Li Z, Yue W, Cai J, Liu H, Hao W, Qu X. Advances in CRISPR/Cas9-based research related to soybean [ Glycine max (Linn.) Merr] molecular breeding. Front Plant Sci 2023; 14:1247707. [PMID: 37711287 PMCID: PMC10499359 DOI: 10.3389/fpls.2023.1247707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 07/28/2023] [Indexed: 09/16/2023]
Abstract
Soybean [Glycine max (Linn.) Merr] is a source of plant-based proteins and an essential oilseed crop and industrial raw material. The increase in the demand for soybeans due to societal changes has coincided with the increase in the breeding of soybean varieties with enhanced traits. Earlier gene editing technologies involved zinc finger nucleases and transcription activator-like effector nucleases, but the third-generation gene editing technology uses clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9). The rapid development of CRISPR/Cas9 technology has made it one of the most effective, straightforward, affordable, and user-friendly technologies for targeted gene editing. This review summarizes the application of CRISPR/Cas9 technology in soybean molecular breeding. More specifically, it provides an overview of the genes that have been targeted, the type of editing that occurs, the mechanism of action, and the efficiency of gene editing. Furthermore, suggestions for enhancing and accelerating the molecular breeding of novel soybean varieties with ideal traits (e.g., high yield, high quality, and durable disease resistance) are included.
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Affiliation(s)
- Dan Yao
- College of Life Science, Jilin Agricultural University, Changchun, Jilin, China
- Institute of Crop Resources, Jilin Provincial Academy of Agricultural Sciences, Gongzhuling, Jilin, China
| | - Junming Zhou
- College of Life Science, Jilin Agricultural University, Changchun, Jilin, China
| | - Aijing Zhang
- College of Agronomy, Jilin Agricultural University, Changchun, China
| | - Jiaxin Wang
- College of Life Science, Jilin Agricultural University, Changchun, Jilin, China
| | - Yixuan Liu
- College of Life Science, Jilin Agricultural University, Changchun, Jilin, China
| | - Lixue Wang
- College of Life Science, Jilin Agricultural University, Changchun, Jilin, China
| | - Wenxuan Pi
- College of Life Science, Jilin Agricultural University, Changchun, Jilin, China
| | - Zihao Li
- College of Life Science, Jilin Agricultural University, Changchun, Jilin, China
| | - Wenjun Yue
- College of Life Science, Jilin Agricultural University, Changchun, Jilin, China
| | - Jinliang Cai
- College of Life Science, Jilin Agricultural University, Changchun, Jilin, China
| | - Huijing Liu
- College of Life Science, Jilin Agricultural University, Changchun, Jilin, China
| | - Wenyuan Hao
- Jilin Provincial Academy of Agricultural Sciences, Changchun, Jilin, China
| | - Xiangchun Qu
- Institute of Crop Resources, Jilin Provincial Academy of Agricultural Sciences, Gongzhuling, Jilin, China
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Wang DR, Kantar MB, Murugaiyan V, Neyhart J. Where the wild things are: genetic associations of environmental adaptation in the Oryza rufipogon species complex. G3 (Bethesda) 2023; 13:jkad128. [PMID: 37293846 PMCID: PMC10411557 DOI: 10.1093/g3journal/jkad128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 05/02/2023] [Accepted: 05/22/2023] [Indexed: 06/10/2023]
Abstract
Crop wild relatives host unique adaptation strategies that enable them to thrive across a wide range of habitats. As pressures from a changing climate mount, a more complete understanding of the genetic variation that underlies this adaptation could enable broader utilization of wild materials for crop improvement. Here, we carry out environmental association analyses (EAA) in the Oryza rufipogon species complex (ORSC), the wild progenitor of cultivated Asian rice, to identify genomic regions associated with environmental adaptation characterized by variation in bioclimatic and soil variables. We further examine regions for colocalizations with phenotypic associations within the same collection. EAA results indicate that significant regions tend to associate with single environmental variables, although 2 significant loci on chromosomes 3 and 5 are detected as common across multiple variable types (i.e. precipitation, temperature, and/or soil). Distributions of allele frequencies at significant loci across subpopulations of cultivated Oryza sativa indicate that, in some cases, adaptive variation may already be present among cultivars, although evaluation in cultivated populations is needed to empirically test this. This work has implications for the potential utility of wild genetic resources in pre-breeding efforts for rice improvement.
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Affiliation(s)
- Diane R Wang
- Department of Agronomy, Purdue University, West Lafayette, IN 47907, USA
| | - Michael B Kantar
- Department of Tropical Plant and Soil Sciences, University of Hawai’i at Manoa, Honolulu, HI 96822, USA
| | - Varunseelan Murugaiyan
- Rice Breeding Platform, International Rice Research Institute (IRRI), DAPO Box 7777, Metro Manila 1301, Philippines
| | - Jeffrey Neyhart
- USDA-ARS, Genetic Improvement for Fruits and Vegetables Laboratory, Chatsworth, NJ 08019, USA
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Islam MS, Corak K, McCord P, Hulse-Kemp AM, Lipka AE. A first look at the ability to use genomic prediction for improving the ratooning ability of sugarcane. Front Plant Sci 2023; 14:1205999. [PMID: 37600177 PMCID: PMC10433174 DOI: 10.3389/fpls.2023.1205999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 07/03/2023] [Indexed: 08/22/2023]
Abstract
The sugarcane ratooning ability (RA) is the most important target trait for breeders seeking to enhance the profitability of sugarcane production by reducing the planting cost. Understanding the genetics governing the RA could help breeders by identifying molecular markers that could be used for genomics-assisted breeding (GAB). A replicated field trial was conducted for three crop cycles (plant cane, first ratoon, and second ratoon) using 432 sugarcane clones and used for conducting genome-wide association and genomic prediction of five sugar and yield component traits of the RA. The RA traits for economic index (EI), stalk population (SP), stalk weight (SW), tonns of cane per hectare (TCH), and tonns of sucrose per hectare (TSH) were estimated from the yield and sugar data. A total of six putative quantitative trait loci and eight nonredundant single-nucleotide polymorphism (SNP) markers were associated with all five tested RA traits and appear to be unique. Seven putative candidate genes were colocated with significant SNPs associated with the five RA traits. The genomic prediction accuracies for those tested traits were moderate and ranged from 0.21 to 0.36. However, the models fitting fixed effects for the most significant associated markers for each respective trait did not give any advantages over the standard models without fixed effects. As a result of this study, more robust markers could be used in the future for clone selection in sugarcane, potentially helping resolve the genetic control of the RA in sugarcane.
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Affiliation(s)
| | - Keo Corak
- Genomics and Bioinformatics Research Unit, USDA-ARS, Raleigh, NC, United States
| | - Per McCord
- Sugarcane Field Station, USDA-ARS, Canal Point, FL, United States
- Irrigated Agriculture Research and Extension Center, Washington State University, Prosser, WA, United States
| | - Amanda M. Hulse-Kemp
- Genomics and Bioinformatics Research Unit, USDA-ARS, Raleigh, NC, United States
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, United States
| | - Alexander E. Lipka
- Department of Crop Sciences, University of Illinois, Urbana-Champaign, IL, United States
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Ye Y, Wang P, Zhang M, Abbas M, Zhang J, Liang C, Wang Y, Wei Y, Meng Z, Zhang R. UAV-based time-series phenotyping reveals the genetic basis of plant height in upland cotton. Plant J 2023; 115:937-951. [PMID: 37154288 DOI: 10.1111/tpj.16272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 04/28/2023] [Accepted: 05/02/2023] [Indexed: 05/10/2023]
Abstract
Plant height (PH) is an important agronomic trait affecting crop architecture, biomass, resistance to lodging and mechanical harvesting. Elucidating the genetic governance of plant height is crucial because of the global demand for high crop yields. However, during the rapid growth period of plants the PH changes a lot on a daily basis, which makes it difficult to accurately phenotype the trait by hand on a large scale. In this study, an unmanned aerial vehicle (UAV)-based remote-sensing phenotyping platform was applied to obtain time-series PHs of 320 upland cotton accessions in three different field trials. The results showed that the PHs obtained from UAV images were significantly correlated with ground-based manual measurements, for three trials (R2 = 0.96, 0.95 and 0.96). Two genetic loci on chromosomes A01 and A11 associated with PH were identified by genome-wide association studies (GWAS). GhUBP15 and GhCUL1 were identified to influence PH in further analysis. We obtained a time series of PH values for three field conditions based on remote sensing with UAV. The key genes identified in this study are of great value for the breeding of ideal plant architecture in cotton.
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Affiliation(s)
- Yulu Ye
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Peilin Wang
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Man Zhang
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Mubashir Abbas
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Jiaxin Zhang
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Chengzhen Liang
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Yuan Wang
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Yunxiao Wei
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Zhigang Meng
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Rui Zhang
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
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Ali A, Zafar MM, Farooq Z, Ahmed SR, Ijaz A, Anwar Z, Abbas H, Tariq MS, Tariq H, Mustafa M, Bajwa MH, Shaukat F, Razzaq A, Maozhi R. Breakthrough in CRISPR/Cas system: Current and future directions and challenges. Biotechnol J 2023; 18:e2200642. [PMID: 37166088 DOI: 10.1002/biot.202200642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2022] [Revised: 05/04/2023] [Accepted: 05/05/2023] [Indexed: 05/12/2023]
Abstract
Targeted genome editing (GE) technology has brought a significant revolution in fictional genomic research and given hope to plant scientists to develop desirable varieties. This technology involves inducing site-specific DNA perturbations that can be repaired through DNA repair pathways. GE products currently include CRISPR-associated nuclease DNA breaks, prime editors generated DNA flaps, single nucleotide-modifications, transposases, and recombinases. The discovery of double-strand breaks, site-specific nucleases (SSNs), and repair mechanisms paved the way for targeted GE, and the first-generation GE tools, ZFNs and TALENs, were successfully utilized in plant GE. However, CRISPR-Cas has now become the preferred tool for GE due to its speed, reliability, and cost-effectiveness. Plant functional genomics has benefited significantly from the widespread use of CRISPR technology for advancements and developments. This review highlights the progress made in CRISPR technology, including multiplex editing, base editing (BE), and prime editing (PE), as well as the challenges and potential delivery mechanisms.
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Affiliation(s)
- Ahmad Ali
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | | | - Zunaira Farooq
- National Center for Soybean Improvement, Key Laboratory of Biology and Genetic Improvement of Soybean (General, Ministry of Agriculture), Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, China
| | - Syed Riaz Ahmed
- Nuclear Institute for Agriculture and Biology College (NIAB-C), Pakistan Institute of Engineering and Applied Science (PIEAS), Nilore, Pakistan
| | - Aqsa Ijaz
- Nuclear Institute for Agriculture and Biology College (NIAB-C), Pakistan Institute of Engineering and Applied Science (PIEAS), Nilore, Pakistan
| | - Zunaira Anwar
- Nuclear Institute for Agriculture and Biology College (NIAB-C), Pakistan Institute of Engineering and Applied Science (PIEAS), Nilore, Pakistan
| | - Huma Abbas
- Department of Plant Pathology, University of Agriculture, Faisalabad, Pakistan
| | - Muhammad Sayyam Tariq
- Nuclear Institute for Agriculture and Biology College (NIAB-C), Pakistan Institute of Engineering and Applied Science (PIEAS), Nilore, Pakistan
| | - Hala Tariq
- Institute of Soil and Environmental Sciences, University of Agriculture Faisalabad, Faisalabad, Pakistan
| | - Mahwish Mustafa
- Center of Agricultural Biochemistry and Biotechnology, University of Agriculture, Faisalabad, Pakistan
| | | | - Fiza Shaukat
- Center of Agricultural Biochemistry and Biotechnology, University of Agriculture, Faisalabad, Pakistan
| | - Abdul Razzaq
- Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
- Institute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan
| | - Ren Maozhi
- Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
- Institute of, Urban Agriculture, Chinese Academy of Agriculture Science, Chengdu, China
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Huo WQ, Zhang ZQ, Ren ZY, Zhao JJ, Song CX, Wang XX, Pei XY, Liu YG, He KL, Zhang F, Li XY, Li W, Yang DG, Ma XF. Unraveling genomic regions and candidate genes for multiple disease resistance in upland cotton using meta-QTL analysis. Heliyon 2023; 9:e18731. [PMID: 37576216 PMCID: PMC10412778 DOI: 10.1016/j.heliyon.2023.e18731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 07/15/2023] [Accepted: 07/25/2023] [Indexed: 08/15/2023] Open
Abstract
Verticillium wilt (VW), Fusarium wilt (FW) and Root-knot nematode (RKN) are the main diseases affecting cotton production. However, many reported quantitative trait loci (QTLs) for cotton resistance have not been used for agricultural practices because of inconsistencies in the cotton genetic background. The integration of existing cotton genetic resources can facilitate the discovery of important genomic regions and candidate genes involved in disease resistance. Here, an improved and comprehensive meta-QTL analysis was conducted on 487 disease resistant QTLs from 31 studies in the last two decades. A consensus linkage map with genetic overall length of 3006.59 cM containing 8650 markers was constructed. A total of 28 Meta-QTLs (MQTLs) were discovered, among which nine MQTLs were identified as related to resistance to multiple diseases. Candidate genes were predicted based on public transcriptome data and enriched in pathways related to disease resistance. This study used a method based on the integration of Meta-QTL, known genes and transcriptomics to reveal major genomic regions and putative candidate genes for resistance to multiple diseases, providing a new basis for marker-assisted selection of high disease resistance in cotton breeding.
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Affiliation(s)
- Wen-Qi Huo
- Zhengzhou Research Base, National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, School of Agricultural Sciences, Zhengzhou University, Zhengzhou, 450001, China
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China
| | - Zhi-Qiang Zhang
- Zhengzhou Research Base, National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, School of Agricultural Sciences, Zhengzhou University, Zhengzhou, 450001, China
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China
| | - Zhong-Ying Ren
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China
| | - Jun-Jie Zhao
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China
| | - Cheng-Xiang Song
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China
| | - Xing-Xing Wang
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China
| | - Xiao-Yu Pei
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China
| | - Yan-Gai Liu
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China
| | - Kun-Lun He
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China
| | - Fei Zhang
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China
| | - Xin-Yang Li
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China
| | - Wei Li
- Zhengzhou Research Base, National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, School of Agricultural Sciences, Zhengzhou University, Zhengzhou, 450001, China
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China
- Western Agricultural Research Center, Chinese Academy of Agricultural Sciences, Changji, 831100, China
| | - Dai-Gang Yang
- Zhengzhou Research Base, National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, School of Agricultural Sciences, Zhengzhou University, Zhengzhou, 450001, China
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China
- Western Agricultural Research Center, Chinese Academy of Agricultural Sciences, Changji, 831100, China
| | - Xiong-Feng Ma
- Zhengzhou Research Base, National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, School of Agricultural Sciences, Zhengzhou University, Zhengzhou, 450001, China
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, China
- Western Agricultural Research Center, Chinese Academy of Agricultural Sciences, Changji, 831100, China
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Manivannan A, Cheeran Amal T. Deciphering the complex cotton genome for improving fiber traits and abiotic stress resilience in sustainable agriculture. Mol Biol Rep 2023; 50:6937-6953. [PMID: 37349608 DOI: 10.1007/s11033-023-08565-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 05/31/2023] [Indexed: 06/24/2023]
Abstract
BACKGROUND Understanding the complex cotton genome is of paramount importance in devising a strategy for sustainable agriculture. Cotton is probably the most economically important cash crop known for its cellulose-rich fiber content. The cotton genome has become an ideal model for deciphering polyploidization due to its polyploidy, setting it apart from other major crops. However, the main challenge in understanding the functional and regulatory functions of many genes in cotton is still the complex cotton polyploidy genome, which is not limited to a single role. Cotton production is vulnerable to the sensitive effects of climate change, which can alter or aggravate soil, pests, and diseases. Thus, conventional plant breeding coupled with advanced technologies has led to substantial progress being made in cotton production. GENOMICS APPROACHES IN COTTON In the frontier areas of genomics research, cotton genomics has gained momentum accomplished by robust high-throughput sequencing platforms combined with novel computational tools to make the cotton genome more tractable. Advances in long-read sequencing have allowed for the generation of the complete set of cotton gene transcripts giving incisive scientific knowledge in cotton improvement. In contrast, the integration of the latest sequencing platforms has been used to generate multiple high-quality reference genomes in diploid and tetraploid cotton. While pan-genome and 3D genomic studies are still in the early stages in cotton, it is anticipated that rapid advances in sequencing, assembly algorithms, and analysis pipelines will have a greater impact on advanced cotton research. CONCLUSIONS This review article briefly compiles substantial contributions in different areas of the cotton genome, which include genome sequencing, genes, and their molecular regulatory networks in fiber development and stress tolerance mechanism. This will greatly help us in understanding the robust genomic organization which in turn will help unearth candidate genes for functionally important agronomic traits.
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Affiliation(s)
- Alagarsamy Manivannan
- ICAR-Central Institute for Cotton Research, Regional Station, Coimbatore, 641 003, Tamil Nadu, India.
| | - Thomas Cheeran Amal
- ICAR-Central Institute for Cotton Research, Regional Station, Coimbatore, 641 003, Tamil Nadu, India
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Bao Y, Wei Y, Liu Y, Gao J, Cheng S, Liu G, You Q, Liu P, Lu Q, Li P, Zhang S, Hu N, Han Y, Liu S, Wu Y, Yang Q, Li Z, Ao G, Liu F, Wang K, Jiang J, Zhang T, Zhang W, Peng R. Genome-wide chromatin accessibility landscape and dynamics of transcription factor networks during ovule and fiber development in cotton. BMC Biol 2023; 21:165. [PMID: 37525156 PMCID: PMC10391996 DOI: 10.1186/s12915-023-01665-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 07/18/2023] [Indexed: 08/02/2023] Open
Abstract
BACKGROUND The development of cotton fiber is regulated by the orchestrated binding of regulatory proteins to cis-regulatory elements associated with developmental genes. The cis-trans regulatory dynamics occurred throughout the course of cotton fiber development are elusive. Here we generated genome-wide high-resolution DNase I hypersensitive sites (DHSs) maps to understand the regulatory mechanisms of cotton ovule and fiber development. RESULTS We generated DNase I hypersensitive site (DHS) profiles from cotton ovules at 0 and 3 days post anthesis (DPA) and fibers at 8, 12, 15, and 18 DPA. We obtained a total of 1185 million reads and identified a total of 199,351 DHSs through ~ 30% unique mapping reads. It should be noted that more than half of DNase-seq reads mapped multiple genome locations and were not analyzed in order to achieve a high specificity of peak profile and to avoid bias from repetitive genomic regions. Distinct chromatin accessibilities were observed in the ovules (0 and 3 DPA) compared to the fiber elongation stages (8, 12, 15, and 18 DPA). Besides, the chromatin accessibility during ovules was particularly elevated in genomic regions enriched with transposable elements (TEs) and genes in TE-enriched regions were involved in ovule cell division. We analyzed cis-regulatory modules and revealed the influence of hormones on fiber development from the regulatory divergence of transcription factor (TF) motifs. Finally, we constructed a reliable regulatory network of TFs related to ovule and fiber development based on chromatin accessibility and gene co-expression network. From this network, we discovered a novel TF, WRKY46, which may shape fiber development by regulating the lignin content. CONCLUSIONS Our results not only reveal the contribution of TEs in fiber development, but also predict and validate the TFs related to fiber development, which will benefit the research of cotton fiber molecular breeding.
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Affiliation(s)
- Yu Bao
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Agricultural College of Yangzhou University, Yangzhou, 225009, China
- Anyang Institute of Technology, Anyang, Henan, 455000, China
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou, 225009, China
| | - Yangyang Wei
- Anyang Institute of Technology, Anyang, Henan, 455000, China
- Research Base, Anyang Institute of Technology, State Key Laboratory of Cotton Biology, Anyang, Henan, 455000, China
| | - Yuling Liu
- Anyang Institute of Technology, Anyang, Henan, 455000, China
- Research Base, Anyang Institute of Technology, State Key Laboratory of Cotton Biology, Anyang, Henan, 455000, China
| | - Jingjing Gao
- National Key Laboratory for Crop Genetics and Germplasm Enhancement and Utilization, Collaborative Innovation Center for Modern Crop Production Co-Sponsored By Province and Ministry (CIC-MCP), Nanjing Agricultural University, No.1 Weigang, Nanjing, 210095, Jiangsu, China
| | - Shuang Cheng
- Anyang Institute of Technology, Anyang, Henan, 455000, China
- Zhengzhou University, Zhengzhou, Henan, 450001, China
| | - Guanqing Liu
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Agricultural College of Yangzhou University, Yangzhou, 225009, China
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou, 225009, China
| | - Qi You
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Agricultural College of Yangzhou University, Yangzhou, 225009, China
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou, 225009, China
| | - Peng Liu
- Institutes of Agricultural Science and Technology Development, Joint International Research Laboratory of Agriculture and Agri-Product Safety, Yangzhou University, Yangzhou, 225009, China
| | - Quanwei Lu
- Anyang Institute of Technology, Anyang, Henan, 455000, China
- Research Base, Anyang Institute of Technology, State Key Laboratory of Cotton Biology, Anyang, Henan, 455000, China
| | - Pengtao Li
- Anyang Institute of Technology, Anyang, Henan, 455000, China
- Research Base, Anyang Institute of Technology, State Key Laboratory of Cotton Biology, Anyang, Henan, 455000, China
| | - Shulin Zhang
- Anyang Institute of Technology, Anyang, Henan, 455000, China
- Research Base, Anyang Institute of Technology, State Key Laboratory of Cotton Biology, Anyang, Henan, 455000, China
| | - Nan Hu
- Anyang Institute of Technology, Anyang, Henan, 455000, China
- Research Base, Anyang Institute of Technology, State Key Laboratory of Cotton Biology, Anyang, Henan, 455000, China
| | - Yangshuo Han
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Agricultural College of Yangzhou University, Yangzhou, 225009, China
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou, 225009, China
| | - Shuo Liu
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Agricultural College of Yangzhou University, Yangzhou, 225009, China
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou, 225009, China
| | - Yuechao Wu
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Agricultural College of Yangzhou University, Yangzhou, 225009, China
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou, 225009, China
| | - Qingqing Yang
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Agricultural College of Yangzhou University, Yangzhou, 225009, China
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou, 225009, China
| | - Zhaoguo Li
- Anyang Institute of Technology, Anyang, Henan, 455000, China
- Zhengzhou University, Zhengzhou, Henan, 450001, China
| | - Guowei Ao
- Anyang Institute of Technology, Anyang, Henan, 455000, China
| | - Fang Liu
- Research Base, Anyang Institute of Technology, State Key Laboratory of Cotton Biology, Anyang, Henan, 455000, China
| | - Kunbo Wang
- Research Base, Anyang Institute of Technology, State Key Laboratory of Cotton Biology, Anyang, Henan, 455000, China
| | - Jiming Jiang
- Department of Plant Biology, Michigan State University, East Lansing, MI, USA
- Department of Horticulture, Michigan State University, East Lansing, MI, USA
- Michigan State University AgBioResearch, East Lansing, MI, USA
| | - Tao Zhang
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Agricultural College of Yangzhou University, Yangzhou, 225009, China.
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou, 225009, China.
| | - Wenli Zhang
- National Key Laboratory for Crop Genetics and Germplasm Enhancement and Utilization, Collaborative Innovation Center for Modern Crop Production Co-Sponsored By Province and Ministry (CIC-MCP), Nanjing Agricultural University, No.1 Weigang, Nanjing, 210095, Jiangsu, China.
| | - Renhai Peng
- Anyang Institute of Technology, Anyang, Henan, 455000, China.
- Research Base, Anyang Institute of Technology, State Key Laboratory of Cotton Biology, Anyang, Henan, 455000, China.
- Zhengzhou University, Zhengzhou, Henan, 450001, China.
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50
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Erdoğan İ, Cevher-Keskin B, Bilir Ö, Hong Y, Tör M. Recent Developments in CRISPR/Cas9 Genome-Editing Technology Related to Plant Disease Resistance and Abiotic Stress Tolerance. Biology (Basel) 2023; 12:1037. [PMID: 37508466 PMCID: PMC10376527 DOI: 10.3390/biology12071037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 07/17/2023] [Accepted: 07/19/2023] [Indexed: 07/30/2023]
Abstract
The revolutionary CRISPR/Cas9 genome-editing technology has emerged as a powerful tool for plant improvement, offering unprecedented precision and efficiency in making targeted gene modifications. This powerful and practical approach to genome editing offers tremendous opportunities for crop improvement, surpassing the capabilities of conventional breeding techniques. This article provides an overview of recent advancements and challenges associated with the application of CRISPR/Cas9 in plant improvement. The potential of CRISPR/Cas9 in terms of developing crops with enhanced resistance to biotic and abiotic stresses is highlighted, with examples of genes edited to confer disease resistance, drought tolerance, salt tolerance, and cold tolerance. Here, we also discuss the importance of off-target effects and the efforts made to mitigate them, including the use of shorter single-guide RNAs and dual Cas9 nickases. Furthermore, alternative delivery methods, such as protein- and RNA-based approaches, are explored, and they could potentially avoid the integration of foreign DNA into the plant genome, thus alleviating concerns related to genetically modified organisms (GMOs). We emphasize the significance of CRISPR/Cas9 in accelerating crop breeding processes, reducing editing time and costs, and enabling the introduction of desired traits at the nucleotide level. As the field of genome editing continues to evolve, it is anticipated that CRISPR/Cas9 will remain a prominent tool for crop improvement, disease resistance, and adaptation to challenging environmental conditions.
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Affiliation(s)
- İbrahim Erdoğan
- Department of Agricultural Biotechnology, Faculty of Agriculture, Kirsehir Ahi Evran University, Kırşehir 40100, Türkiye
- Department of Biological Sciences, School of Science and the Environment, University of Worcester, Henwick Grove, Worcester WR2 6AJ, UK
| | - Birsen Cevher-Keskin
- Genetic Engineering and Biotechnology Institute, TÜBİTAK Marmara Research Center, Kocaeli 41470, Türkiye
| | - Özlem Bilir
- Department of Biological Sciences, School of Science and the Environment, University of Worcester, Henwick Grove, Worcester WR2 6AJ, UK
- Trakya Agricultural Research Institute, Atatürk Bulvarı 167/A, Edirne 22100, Türkiye
| | - Yiguo Hong
- Department of Biological Sciences, School of Science and the Environment, University of Worcester, Henwick Grove, Worcester WR2 6AJ, UK
- Research Centre for Plant RNA Signaling, College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou 311121, China
| | - Mahmut Tör
- Department of Biological Sciences, School of Science and the Environment, University of Worcester, Henwick Grove, Worcester WR2 6AJ, UK
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