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Saavedra-Díaz C, Trujillo-Montenegro JH, Jaimes HA, Londoño A, Villareal FAS, López LO, Valens CAV, López-Gerena J, Riascos JJ, Quevedo YM, Aguilar FS. Genetic association analysis in sugarcane (Saccharum spp.) for sucrose accumulation in humid environments in Colombia. BMC PLANT BIOLOGY 2024; 24:570. [PMID: 38886648 PMCID: PMC11184777 DOI: 10.1186/s12870-024-05233-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Accepted: 05/31/2024] [Indexed: 06/20/2024]
Abstract
BACKGROUND Sucrose accumulation in sugarcane is affected by several environmental and genetic factors, with plant moisture being of critical importance for its role in the synthesis and transport of sugars within the cane stalks, affecting the sucrose concentration. In general, rainfall and high soil humidity during the ripening stage promote plant growth, increasing the fresh weight and decreasing the sucrose yield in the humid region of Colombia. Therefore, this study aimed to identify markers associated with sucrose accumulation or production in the humid environment of Colombia through a genome-wide association study (GWAS). RESULTS Sucrose concentration measurements were taken in 220 genotypes from the Cenicaña's diverse panel at 10 (early maturity) and 13 (normal maturity) months after planting. For early maturity data was collected during plant cane and first ratoon, while at normal maturity it was during plant cane, first, and second ratoon. A total of 137,890 SNPs were selected after sequencing the 220 genotypes through GBS, RADSeq, and whole-genome sequencing. After GWAS analysis, a total of 77 markers were significantly associated with sucrose concentration at both ages, but only 39 were close to candidate genes previously reported for sucrose accumulation and/or production. Among the candidate genes, 18 were highlighted because they were involved in sucrose hydrolysis (SUS6, CIN3, CINV1, CINV2), sugar transport (i.e., MST1, MST2, PLT5, SUT4, ERD6 like), phosphorylation processes (TPS genes), glycolysis (PFP-ALPHA, HXK3, PHI1), and transcription factors (ERF12, ERF112). Similarly, 64 genes were associated with glycosyltransferases, glycosidases, and hormones. CONCLUSIONS These results provide new insights into the molecular mechanisms involved in sucrose accumulation in sugarcane and contribute with important genomic resources for future research in the humid environments of Colombia. Similarly, the markers identified will be validated for their potential application within Cenicaña's breeding program to assist the development of breeding populations.
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Affiliation(s)
- Carolina Saavedra-Díaz
- Centro de Investigación de la Caña de Azúcar de Colombia (CENICAÑA), Cali, Colombia
- Pontificia Universidad Javeriana, Cali, Colombia
| | | | - Hugo Arley Jaimes
- Centro de Investigación de la Caña de Azúcar de Colombia (CENICAÑA), Cali, Colombia
| | - Alejandra Londoño
- Centro de Investigación de la Caña de Azúcar de Colombia (CENICAÑA), Cali, Colombia
| | | | - Luis Orlando López
- Centro de Investigación de la Caña de Azúcar de Colombia (CENICAÑA), Cali, Colombia
| | | | - Jershon López-Gerena
- Centro de Investigación de la Caña de Azúcar de Colombia (CENICAÑA), Cali, Colombia
| | - John J Riascos
- Centro de Investigación de la Caña de Azúcar de Colombia (CENICAÑA), Cali, Colombia
| | | | - Fernando S Aguilar
- Centro de Investigación de la Caña de Azúcar de Colombia (CENICAÑA), Cali, Colombia.
- Colombian Sugarcane Research Center (Cenicaña), km 26 Vía Cali-Florida, Valle del Cauca, Colombia.
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Li X, Chen X, Fang J, Feng X, Zhang X, Lin H, Chen W, Zhang N, He H, Huang Z, Xue X, Li Y, Fan L, Lai R, Huo Z, Cui M, Deng G, Zaid C, Su Y, Zhang J, Cai W, Qi Y. Whole-genome sequencing of a worldwide collection of sugarcane cultivars (Saccharum spp.) reveals the genetic basis of cultivar improvement. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2024. [PMID: 38852163 DOI: 10.1111/tpj.16861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Revised: 05/12/2024] [Accepted: 05/20/2024] [Indexed: 06/11/2024]
Abstract
Sugarcane is the main source of sugar worldwide, and 80% of the sucrose production comes from sugarcane. However, the genetic differentiation and basis of agronomic traits remain obscure. Here, we sequenced the whole-genome of 219 elite worldwide sugarcane cultivar accessions. A total of approximately 6 million high-quality genome-wide single nucleotide polymorphisms (SNPs) were detected. A genome-wide association study identified a total of 2198 SNPs that were significantly associated with sucrose content, stalk number, plant height, stalk diameter, cane yield, and sugar yield. We observed homozygous tendency of favor alleles of these loci, and over 80% of cultivar accessions carried the favor alleles of the SNPs or haplotypes associated with sucrose content. Gene introgression analysis showed that the number of chromosome segments from Saccharum spontaneum decreased with the breeding time of cultivars, while those from S. officinarum increased in recent cultivars. A series of selection signatures were identified in sugarcane improvement procession, of which 104 were simultaneously associated with agronomic traits and 45 of them were mainly associated with sucrose content. We further proposed that as per sugarcane transgenic experiments, ShN/AINV3.1 plays a positive role in increasing stalk number, plant height, and stalk diameter. These findings provide comprehensive resources for understanding the genetic basis of agronomic traits and will be beneficial to germplasm innovation, screening molecular markers, and future sugarcane cultivar improvement.
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Affiliation(s)
- Xuhui Li
- Institute of Nanfan and Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, 510316, China
| | - Xinglong Chen
- Institute of Nanfan and Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, 510316, China
| | - Junteng Fang
- Institute of Nanfan and Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, 510316, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510325, China
| | - Xiaomin Feng
- Institute of Nanfan and Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, 510316, China
| | - Xiangbo Zhang
- Institute of Nanfan and Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, 510316, China
| | - Huanzhang Lin
- Institute of Nanfan and Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, 510316, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510325, China
| | - Weiwei Chen
- Institute of Nanfan and Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, 510316, China
| | - Nannan Zhang
- Institute of Nanfan and Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, 510316, China
| | - Huiyi He
- Institute of Nanfan and Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, 510316, China
| | - Zhenghui Huang
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510325, China
| | - Xiaoming Xue
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510325, China
| | - Yucong Li
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510325, China
| | - Lina Fan
- Institute of Nanfan and Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, 510316, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510325, China
| | - Ruiqiang Lai
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510325, China
| | - Zhenye Huo
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510325, China
| | - Mingyang Cui
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510325, China
| | - Guangyan Deng
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510325, China
| | - Chachar Zaid
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510325, China
| | - Yueping Su
- Zhanjiang Academy of Agricultural Sciences, Zhanjiang, Guangdong, 524094, China
| | - Jisen Zhang
- State Key Laboratory for Conservation and Utilization of Agro-Bioresources, Guangxi University, Nanning, Guangxi, 530005, China
| | - Weijun Cai
- Zhanjiang Academy of Agricultural Sciences, Zhanjiang, Guangdong, 524094, China
| | - Yongwen Qi
- Institute of Nanfan and Seed Industry, Guangdong Academy of Science, Guangzhou, Guangdong, 510316, China
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, Guangdong, 510325, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, Guangdong, 510642, China
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3
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Tanveer M, Abidin ZU, Alawadi HFN, Shahzad AN, Mahmood A, Khan BA, Qari S, Oraby HF. Recent advances in genome editing strategies for balancing growth and defence in sugarcane ( Saccharum officinarum). FUNCTIONAL PLANT BIOLOGY : FPB 2024; 51:FP24036. [PMID: 38696670 DOI: 10.1071/fp24036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 04/14/2024] [Indexed: 05/04/2024]
Abstract
Sugarcane (Saccharum officinarum ) has gained more attention worldwide in recent decades because of its importance as a bioenergy resource and in producing table sugar. However, the production capabilities of conventional varieties are being challenged by the changing climates, which struggle to meet the escalating demands of the growing global population. Genome editing has emerged as a pivotal field that offers groundbreaking solutions in agriculture and beyond. It includes inserting, removing or replacing DNA in an organism's genome. Various approaches are employed to enhance crop yields and resilience in harsh climates. These techniques include zinc finger nuclease (ZFN), transcription activator-like effector nuclease (TALEN) and clustered regularly interspaced short palindromic repeats/associated protein (CRISPR/Cas). Among these, CRISPR/Cas is one of the most promising and rapidly advancing fields. With the help of these techniques, several crops like rice (Oryza sativa ), tomato (Solanum lycopersicum ), maize (Zea mays ), barley (Hordeum vulgare ) and sugarcane have been improved to be resistant to viral diseases. This review describes recent advances in genome editing with a particular focus on sugarcane and focuses on the advantages and limitations of these approaches while also considering the regulatory and ethical implications across different countries. It also offers insights into future prospects and the application of these approaches in agriculture.
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Affiliation(s)
- Maira Tanveer
- Department of Botany, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Zain Ul Abidin
- Department of Botany, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | | | - Ahmad Naeem Shahzad
- Department of Agronomy, Bahauddin Zakarriya University, Multan 60650, Pakistan
| | - Athar Mahmood
- Department of Agronomy, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan
| | - Bilal Ahmad Khan
- Department of Agronomy, College of Agriculture, University of Sargodha, Sargodha, Pakistan
| | - Sameer Qari
- Department of Biology, Al-Jumum University College, Umm Al-Qura University, Makkah 21955, Saudi Arabia
| | - Hesham Farouk Oraby
- Deanship of Scientific Research, Umm Al-Qura University, Makkah 21955, Saudi Arabia; and Department of Crop Science, Faculty of Agriculture, Zagazig University, Zagazig 44519, Egypt
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Meena MR, Govindaraj P, Kumar RA, Elayaraja K, Appunu C, Kumar R, Chhabra ML, Kulshreshtha N, Hemaprabha G. Biomass and energy potential of Erianthus arundinaceus and Saccharum spontaneum-derived novel sugarcane hybrids in rainfed environments. BMC PLANT BIOLOGY 2024; 24:198. [PMID: 38500032 PMCID: PMC10949791 DOI: 10.1186/s12870-024-04885-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 03/05/2024] [Indexed: 03/20/2024]
Abstract
BACKGROUND Energy canes are viable feedstocks for biomass industries due to their high biomass production potential, lower susceptibility to insects and diseases, better ability to adapt to extreme conditions and clean bioenergy. Interspecific hybrids (ISH) and intergeneric hybrids (IGH) have great potential to meet the growing demand of biomass, biomass-derived energy and feedstock. RESULTS In this study, two types of energy canes, Type I and Type II, derived from S. spontaneum and E. arundinaceous background were evaluated for high biomass, fiber and bioenergy potential under subtropical climate along with the check varieties Co 0238 and CoS 767. Out of 18 energy canes studied, six energy canes, viz., SBIEC11008 (204.15 t/ha), SBIEC11005 (192.93 t/ha), SBIEC13008 (201.26 t/ha), SBIEC13009 (196.58 t/ha), SBIEC13002 (170.15 t/ha), and SBIEC13007 (173.76 t/ha), consistently outperformed the check varieties under Type-I, whereas in type-II, SBIEC11004 (225.78 t/ha), SBIEC11006 (184.89 t/ha), and SBIEC14006 (184.73 t/ha) energy canes produced significantly higher biomass than commercial checks, indicating their superior potential for cogeneration. Estimated energy output from the energy canes (700-1300 GJ/ha/year) exceeded the range of co-varieties (400-500 GJ/ha/year) and energy utilization efficiency in plants and ratoon crops for energy canes viz., SBIEC11008 (3%, 1.97%), SBIEC14006 (1.93%, 2.4%), SBIEC11005 (1.7%, 1.9%), and SBIEC11001 (1.01%, 1.03%), was higher than best checks Co 0238 (0.77, 0.9%). Additionally, energy canes SBIEC 13001 (22.35%), SBIEC 11008 (22.50%), SBIEC 14006 (28.54%), SBIEC 11004 (30.17%) and SBIEC 11001 (27.03%) had higher fiber contents than the co-varieties (12.45%). CONCLUSION The study gives insight about the potential energy canes for higher biomass and energy value. These energy cane presents a vital option to meet the future demand of bioenergy, fiber and fodder for biomass due to their versatile capacity to grow easily under marginal lands without competing with cultivated land worldwide.
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Affiliation(s)
- Mintu Ram Meena
- Regional Centre, ICAR- Sugarcane Breeding Institute, Karnal, Haryana, 132001, India.
| | | | - Raja Arun Kumar
- ICAR Sugarcane Breeding Institute, Coimbatore-07, Tamil Nadu, India
| | | | | | - Ravinder Kumar
- Regional Centre, ICAR- Sugarcane Breeding Institute, Karnal, Haryana, 132001, India
| | - Manohar Lal Chhabra
- Regional Centre, ICAR- Sugarcane Breeding Institute, Karnal, Haryana, 132001, India
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5
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Khan Q, Qin Y, Guo DJ, Huang YY, Yang LT, Liang Q, Song XP, Xing YX, Li YR. Comparative Analysis of Sucrose-Regulatory Genes in High- and Low-Sucrose Sister Clones of Sugarcane. PLANTS (BASEL, SWITZERLAND) 2024; 13:707. [PMID: 38475553 DOI: 10.3390/plants13050707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Revised: 02/21/2024] [Accepted: 02/28/2024] [Indexed: 03/14/2024]
Abstract
Sugarcane is a significant primitive source of sugar and energy worldwide. The progress in enhancing the sugar content in sugarcane cultivars remains limited due to an insufficient understanding of specific genes related to sucrose production. The present investigation examined the enzyme activities, levels of reducing and non-reducing sugars, and transcript expression using RT-qPCR to assess the gene expression associated with sucrose metabolism in a high-sucrose sugarcane clone (GXB9) in comparison to a low-sucrose sister clone (B9). Sucrose phosphate synthase (SPS), sucrose phosphate phosphatase (SPP), sucrose synthase (SuSy), cell wall invertase (CWI), soluble acid invertase (SAI), and neutral invertase (NI) are essential enzymes involved in sucrose metabolism in sugarcane. The activities of these enzymes were comparatively quantified and analyzed in immature and maturing internodes of the high- and low-sucrose clones. The results showed that the higher-sucrose-accumulating clone had greater sucrose concentrations than the low-sucrose-accumulating clone; however, maturing internodes had higher sucrose levels than immature internodes in both clones. Hexose concentrations were higher in immature internodes than in maturing internodes for both clones. The SPS and SPP enzymes activities were higher in the high-sucrose-storing clone than in the low-sucrose clone. SuSy activity was higher in the low-sucrose clone than in the high-sucrose clone; further, the degree of SuSy activity was higher in immature internodes than in maturing internodes for both clones. The SPS gene expression was considerably higher in mature internodes of the high-sucrose clones than the low-sucrose clone. Conversely, the SuSy gene exhibited up-regulated expression in the low-sucrose clone. The enhanced expression of SPS in the high-sucrose clone compared to the low-sucrose clone suggests that SPS plays a major role in the increased accumulation of sucrose. These findings provide the opportunity to improve sugarcane cultivars by regulating the activity of genes related to sucrose metabolism using transgenic techniques.
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Affiliation(s)
- Qaisar Khan
- Guangxi Key Laboratory of Sugarcane, College of Agriculture, Guangxi University, Nanning 530004, China
| | - Ying Qin
- Guangxi Key Laboratory of Sugarcane, College of Agriculture, Guangxi University, Nanning 530004, China
| | - Dao-Jun Guo
- Guangxi Key Laboratory of Sugarcane, College of Agriculture, Guangxi University, Nanning 530004, China
| | - Yu-Yan Huang
- Guangxi Key Laboratory of Sugarcane, College of Agriculture, Guangxi University, Nanning 530004, China
| | - Li-Tao Yang
- Guangxi Key Laboratory of Sugarcane, College of Agriculture, Guangxi University, Nanning 530004, China
| | - Qiang Liang
- Guangxi Key Laboratory of Sugarcane Genetic Improvement, Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs, Sugarcane Research Institute of Guangxi Academy of Agricultural Sciences, Nanning 530003, China
| | - Xiu-Peng Song
- Guangxi Key Laboratory of Sugarcane Genetic Improvement, Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs, Sugarcane Research Institute of Guangxi Academy of Agricultural Sciences, Nanning 530003, China
| | - Yong-Xiu Xing
- Guangxi Key Laboratory of Sugarcane, College of Agriculture, Guangxi University, Nanning 530004, China
| | - Yang-Rui Li
- Guangxi Key Laboratory of Sugarcane Genetic Improvement, Key Laboratory of Sugarcane Biotechnology and Genetic Improvement (Guangxi), Ministry of Agriculture and Rural Affairs, Sugarcane Research Institute of Guangxi Academy of Agricultural Sciences, Nanning 530003, China
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6
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Prado GS, Rocha DC, dos Santos LN, Contiliani DF, Nobile PM, Martinati-Schenk JC, Padilha L, Maluf MP, Lubini G, Pereira TC, Monteiro-Vitorello CB, Creste S, Boscariol-Camargo RL, Takita MA, Cristofani-Yaly M, de Souza AA. CRISPR technology towards genome editing of the perennial and semi-perennial crops citrus, coffee and sugarcane. FRONTIERS IN PLANT SCIENCE 2024; 14:1331258. [PMID: 38259920 PMCID: PMC10801916 DOI: 10.3389/fpls.2023.1331258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 12/14/2023] [Indexed: 01/24/2024]
Abstract
Gene editing technologies have opened up the possibility of manipulating the genome of any organism in a predicted way. CRISPR technology is the most used genome editing tool and, in agriculture, it has allowed the expansion of possibilities in plant biotechnology, such as gene knockout or knock-in, transcriptional regulation, epigenetic modification, base editing, RNA editing, prime editing, and nucleic acid probing or detection. This technology mostly depends on in vitro tissue culture and genetic transformation/transfection protocols, which sometimes become the major challenges for its application in different crops. Agrobacterium-mediated transformation, biolistics, plasmid or RNP (ribonucleoprotein) transfection of protoplasts are some of the commonly used CRISPR delivery methods, but they depend on the genotype and target gene for efficient editing. The choice of the CRISPR system (Cas9, Cas12), CRISPR mechanism (plasmid or RNP) and transfection technique (Agrobacterium spp., PEG solution, lipofection) directly impacts the transformation efficiency and/or editing rate. Besides, CRISPR/Cas technology has made countries rethink regulatory frameworks concerning genetically modified organisms and flexibilize regulatory obstacles for edited plants. Here we present an overview of the state-of-the-art of CRISPR technology applied to three important crops worldwide (citrus, coffee and sugarcane), considering the biological, methodological, and regulatory aspects of its application. In addition, we provide perspectives on recently developed CRISPR tools and promising applications for each of these crops, thus highlighting the usefulness of gene editing to develop novel cultivars.
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Affiliation(s)
- Guilherme Souza Prado
- Citrus Research Center “Sylvio Moreira” – Agronomic Institute (IAC), Cordeirópolis, Brazil
| | - Dhiôvanna Corrêia Rocha
- Citrus Research Center “Sylvio Moreira” – Agronomic Institute (IAC), Cordeirópolis, Brazil
- Institute of Biology, State University of Campinas (Unicamp), Campinas, Brazil
| | - Lucas Nascimento dos Santos
- Citrus Research Center “Sylvio Moreira” – Agronomic Institute (IAC), Cordeirópolis, Brazil
- Institute of Biology, State University of Campinas (Unicamp), Campinas, Brazil
| | - Danyel Fernandes Contiliani
- Sugarcane Research Center – Agronomic Institute (IAC), Ribeirão Preto, Brazil
- Ribeirão Preto Medical School, University of São Paulo (USP), Ribeirão Preto, Brazil
| | - Paula Macedo Nobile
- Sugarcane Research Center – Agronomic Institute (IAC), Ribeirão Preto, Brazil
| | | | - Lilian Padilha
- Coffee Center of the Agronomic Institute of Campinas (IAC), Campinas, Brazil
- Embrapa Coffee, Brazilian Agricultural Research Corporation, Brasília, Federal District, Brazil
| | - Mirian Perez Maluf
- Coffee Center of the Agronomic Institute of Campinas (IAC), Campinas, Brazil
- Embrapa Coffee, Brazilian Agricultural Research Corporation, Brasília, Federal District, Brazil
| | - Greice Lubini
- Sugarcane Research Center – Agronomic Institute (IAC), Ribeirão Preto, Brazil
- Department of Biology, Faculty of Philosophy, Sciences and Letters at Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto, Brazil
| | - Tiago Campos Pereira
- Ribeirão Preto Medical School, University of São Paulo (USP), Ribeirão Preto, Brazil
- Department of Biology, Faculty of Philosophy, Sciences and Letters at Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto, Brazil
| | | | - Silvana Creste
- Sugarcane Research Center – Agronomic Institute (IAC), Ribeirão Preto, Brazil
- Ribeirão Preto Medical School, University of São Paulo (USP), Ribeirão Preto, Brazil
| | | | - Marco Aurélio Takita
- Citrus Research Center “Sylvio Moreira” – Agronomic Institute (IAC), Cordeirópolis, Brazil
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7
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Que Y, Wu Q, Zhang H, Luo J, Zhang Y. Developing new sugarcane varieties suitable for mechanized production in China: principles, strategies and prospects. FRONTIERS IN PLANT SCIENCE 2024; 14:1337144. [PMID: 38259907 PMCID: PMC10802142 DOI: 10.3389/fpls.2023.1337144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Accepted: 12/14/2023] [Indexed: 01/24/2024]
Abstract
The sugar industry, which relates to people's livelihood, is strategic and fundamental in the development of agricultural economy. In China, sugar derived from sugarcane accounts for approximately 85% of total sugar production. Mechanization is the "flower" of sugarcane industry. As the saying goes "when there are blooming flowers, there will be sweet honey." However, due to limitations in land resources, technology, equipment, organization, and management, mechanization throughout the sugarcane production process has not yet brought about the economic benefits that a mechanized system should provide and has not reached an ideal yield through the integration of agricultural machinery and agronomic practice. This paper briefly describes how to initiate the mechanization of Chinese sugarcane production to promote the sound, healthy, and rapid development of the sugarcane industry, and how to ultimately achieve the transformation of sugarcane breeding in China and the modernization of the sugarcane industry from three perspectives, namely, requirements of mechanized production for sugarcane varieties, breeding strategies for selecting new sugarcane varieties suitable for mechanized production, and screening for sugarcane varieties that are suitable for mechanization and diversification in variety distribution or arrangement in China. We also highlight the current challenges surrounding this topic and look forward to its bright prospects.
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Affiliation(s)
- Youxiong Que
- National Key Laboratory for Tropical Crop Breeding, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Sanya, China
- National Key Laboratory for Tropical Crop Breeding, Sugarcane Research Institute, Yunan Academy of Agricultural Sciences, Kaiyuan, China
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, National Engineering Research Center for Sugarcane, College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Qibin Wu
- National Key Laboratory for Tropical Crop Breeding, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Sanya, China
- National Key Laboratory for Tropical Crop Breeding, Sugarcane Research Institute, Yunan Academy of Agricultural Sciences, Kaiyuan, China
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, National Engineering Research Center for Sugarcane, College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Hua Zhang
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, National Engineering Research Center for Sugarcane, College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Jun Luo
- Key Laboratory of Sugarcane Biology and Genetic Breeding, Ministry of Agriculture and Rural Affairs, National Engineering Research Center for Sugarcane, College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Yuebin Zhang
- National Key Laboratory for Tropical Crop Breeding, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Sanya, China
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8
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Khanbo S, Somyong S, Phetchawang P, Wirojsirasak W, Ukoskit K, Klomsa-ard P, Pootakham W, Tangphatsornruang S. A SNP variation in the Sucrose synthase ( SoSUS) gene associated with sugar-related traits in sugarcane. PeerJ 2023; 11:e16667. [PMID: 38111652 PMCID: PMC10726748 DOI: 10.7717/peerj.16667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 11/21/2023] [Indexed: 12/20/2023] Open
Abstract
Background Sugarcane (Saccharum spp.) is an economically significant crop for both the sugar and biofuel industries. Breeding sugarcane cultivars with high-performance agronomic traits is the most effective approach for meeting the rising demand for sugar and biofuels. Molecular markers associated with relevant agronomic traits could drastically reduce the time and resources required to develop new sugarcane varieties. Previous sugarcane candidate gene association analyses have found single nucleotide polymorphism (SNP) markers associated with sugar-related traits. This study aims to validate these associated SNP markers of six genes, including Lesion simulating disease 1 (LSD), Calreticulin (CALR), Sucrose synthase 1 (SUS1), DEAD-box ATP-dependent RNA helicase (RH), KANADI1 (KAN1), and Sodium/hydrogen exchanger 7 (NHX7), in a diverse population in 2-year and two-location evaluations. Methods After genotyping of seven targeted SNP markers was performed by PCR Allelic Competitive Extension (PACE) SNP genotyping, the association with sugar-related traits and important cane yield component traits was determined on a set of 159 sugarcane genotypes. The marker-trait relationships were validated and identified by both t-test analysis and an association analysis based on the general linear model. Results The mSoSUS1_SNPCh10.T/C and mSoKAN1_SNPCh7.T/C markers that were designed from the SUS1 and KAN1 genes, respectively, showed significant associations with different amounts of sugar-related traits and yield components. The mSoSUS1_SNPCh10.T/C marker was found to have more significant association with sugar-related traits, including pol, CCS, brix, fiber and sugar yield, with p values of 6.08 × 10-6 to 4.35 × 10-2, as well as some cane yield component traits with p values of 1.61 × 10-4 to 3.35 × 10-2. The significant association is consistent across four environments. Conclusion Sucrose synthase (SUS) is considered a crucial enzyme involved in sucrose metabolism. This marker is a high potential functional marker that may be used in sugarcane breeding programs to select superior sugarcane with good fiber and high sugar contents.
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Affiliation(s)
- Supaporn Khanbo
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Pathum Thani, Thailand
| | - Suthasinee Somyong
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Pathum Thani, Thailand
| | - Phakamas Phetchawang
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Pathum Thani, Thailand
| | | | - Kittipat Ukoskit
- Department of Biotechnology, Faculty of Science and Technology, Thammasat University, Pathumtani, Thailand
| | - Peeraya Klomsa-ard
- Mitr Phol Innovation and Research Center, Phu Khiao, Chaiyaphum, Thailand
| | - Wirulda Pootakham
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Pathum Thani, Thailand
| | - Sithichoke Tangphatsornruang
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Pathum Thani, Thailand
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9
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Zhang Y, Zhang M, Ye J, Xu Q, Feng Y, Xu S, Hu D, Wei X, Hu P, Yang Y. Integrating genome-wide association study into genomic selection for the prediction of agronomic traits in rice ( Oryza sativa L.). MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2023; 43:81. [PMID: 37965378 PMCID: PMC10641074 DOI: 10.1007/s11032-023-01423-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 10/09/2023] [Indexed: 11/16/2023]
Abstract
Accurately identifying varieties with targeted agronomic traits was thought to contribute to genetic selection and accelerate rice breeding progress. Genomic selection (GS) is a promising technique that uses markers covering the whole genome to predict the genomic-estimated breeding values (GEBV), with the ability to select before phenotypes are measured. To choose the appropriate GS models for breeding work, we analyzed the predictability of nine agronomic traits measured from a population of 459 diverse rice varieties. By the comparison of eight representative GS models, we found that the prediction accuracies ranged from 0.407 to 0.896, with reproducing kernel Hilbert space (RKHS) having the highest predictive ability in most traits. Further results demonstrated the predictivity of GS is altered by several factors. Moreover, we assessed the method of integrating genome-wide association study (GWAS) into various GS models. The predictabilities of GS combined peak-associated markers generated from six different GWAS models were significantly different; a recommendation of Mixed Linear Model (MLM)-RKHS was given for the GWAS-GS-integrated prediction. Finally, based on the above result, we experimented with applying the P-values obtained from optimal GWAS models into ridge regression best linear unbiased prediction (rrBLUP), which benefited the low predictive traits in rice. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-023-01423-y.
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Affiliation(s)
- Yuanyuan Zhang
- Zhejiang Lab, Hangzhou, 311121 China
- CNRRI-Zhejiang Lab Computational Breeding Joint Laboratory, China National Rice Research Institute, Hangzhou, China
| | - Mengchen Zhang
- Zhejiang Lab, Hangzhou, 311121 China
- CNRRI-Zhejiang Lab Computational Breeding Joint Laboratory, China National Rice Research Institute, Hangzhou, China
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, 572024 China
| | - Junhua Ye
- CNRRI-Zhejiang Lab Computational Breeding Joint Laboratory, China National Rice Research Institute, Hangzhou, China
| | - Qun Xu
- CNRRI-Zhejiang Lab Computational Breeding Joint Laboratory, China National Rice Research Institute, Hangzhou, China
| | - Yue Feng
- CNRRI-Zhejiang Lab Computational Breeding Joint Laboratory, China National Rice Research Institute, Hangzhou, China
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, 572024 China
| | - Siliang Xu
- CNRRI-Zhejiang Lab Computational Breeding Joint Laboratory, China National Rice Research Institute, Hangzhou, China
| | - Dongxiu Hu
- CNRRI-Zhejiang Lab Computational Breeding Joint Laboratory, China National Rice Research Institute, Hangzhou, China
| | - Xinghua Wei
- Zhejiang Lab, Hangzhou, 311121 China
- CNRRI-Zhejiang Lab Computational Breeding Joint Laboratory, China National Rice Research Institute, Hangzhou, China
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, 572024 China
| | - Peisong Hu
- Zhejiang Lab, Hangzhou, 311121 China
- CNRRI-Zhejiang Lab Computational Breeding Joint Laboratory, China National Rice Research Institute, Hangzhou, China
| | - Yaolong Yang
- Zhejiang Lab, Hangzhou, 311121 China
- CNRRI-Zhejiang Lab Computational Breeding Joint Laboratory, China National Rice Research Institute, Hangzhou, China
- National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, 572024 China
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10
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Chen J, Wang Y, Di P, Wu Y, Qiu S, Lv Z, Qiao Y, Li Y, Tan J, Chen W, Yu M, Wei P, Xiao Y, Chen W. Phenotyping of Salvia miltiorrhiza Roots Reveals Associations between Root Traits and Bioactive Components. PLANT PHENOMICS (WASHINGTON, D.C.) 2023; 5:0098. [PMID: 37791248 PMCID: PMC10545446 DOI: 10.34133/plantphenomics.0098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 09/05/2023] [Indexed: 10/05/2023]
Abstract
Plant phenomics aims to perform high-throughput, rapid, and accurate measurement of plant traits, facilitating the identification of desirable traits and optimal genotypes for crop breeding. Salvia miltiorrhiza (Danshen) roots possess remarkable therapeutic effect on cardiovascular diseases, with huge market demands. Although great advances have been made in metabolic studies of the bioactive metabolites, investigation for S. miltiorrhiza roots on other physiological aspects is poor. Here, we developed a framework that utilizes image feature extraction software for in-depth phenotyping of S. miltiorrhiza roots. By employing multiple software programs, S. miltiorrhiza roots were described from 3 aspects: agronomic traits, anatomy traits, and root system architecture. Through K-means clustering based on the diameter ranges of each root branch, all roots were categorized into 3 groups, with primary root-associated key traits. As a proof of concept, we examined the phenotypic components in a series of randomly collected S. miltiorrhiza roots, demonstrating that the total surface of root was the best parameter for the biomass prediction with high linear regression correlation (R2 = 0.8312), which was sufficient for subsequently estimating the production of bioactive metabolites without content determination. This study provides an important approach for further grading of medicinal materials and breeding practices.
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Affiliation(s)
- Junfeng Chen
- The SATCM Key Laboratory for New Resources & Quality Evaluation of Chinese Medicine, Institute of Chinese Materia Medica,
Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Yun Wang
- School of Medicine,
Shanghai University, Shanghai 200444, China
| | - Peng Di
- State Local Joint Engineering Research Center of Ginseng Breeding and Application,
Jilin Agricultural University, Changchun 130118, China
| | - Yulong Wu
- School of Computer Science,
Sichuan Normal University, Chengdu 610066, China
| | - Shi Qiu
- The SATCM Key Laboratory for New Resources & Quality Evaluation of Chinese Medicine, Institute of Chinese Materia Medica,
Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Zongyou Lv
- The SATCM Key Laboratory for New Resources & Quality Evaluation of Chinese Medicine, Institute of Chinese Materia Medica,
Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Yuqi Qiao
- The SATCM Key Laboratory for New Resources & Quality Evaluation of Chinese Medicine, Institute of Chinese Materia Medica,
Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Yajing Li
- The SATCM Key Laboratory for New Resources & Quality Evaluation of Chinese Medicine, Institute of Chinese Materia Medica,
Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Jingfu Tan
- Shangyao Huayu (Linyi) Traditional Chinese Resources Co., Ltd., Linyi 276000, China
| | - Weixu Chen
- Shangyao Huayu (Linyi) Traditional Chinese Resources Co., Ltd., Linyi 276000, China
| | - Ma Yu
- School of Life Science and Engineering,
Southwest University of Science and Technology, Mianyang 621010, Sichuan, China
| | - Ping Wei
- Sichuan Academy of Traditional Chinese Medicine, Chengdu 610041, China
| | - Ying Xiao
- The SATCM Key Laboratory for New Resources & Quality Evaluation of Chinese Medicine, Institute of Chinese Materia Medica,
Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Wansheng Chen
- The SATCM Key Laboratory for New Resources & Quality Evaluation of Chinese Medicine, Institute of Chinese Materia Medica,
Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
- Department of Pharmacy, Changzheng Hospital,
Second Military Medical University, Shanghai 200003, China
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11
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Niazi R, Parveen G, Noman M, Mukhtar N, Hadayat N, Sami A, Khaliq B, Shrestha J, Ullah I. Comparative expression analysis of sucrose phosphate synthase gene family in a low and high sucrose Pakistani sugarcane cultivars. PeerJ 2023; 11:e15832. [PMID: 37719124 PMCID: PMC10503496 DOI: 10.7717/peerj.15832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 07/11/2023] [Indexed: 09/19/2023] Open
Abstract
Sugarcane is the world's largest cultivated crop by biomass and is the main source of sugar and biofuel. Sucrose phosphate synthase (SPS) enzymes are directly involved in the synthesis of sucrose. Here, we analyzed and compared one of the important gene families involved in sucrose metabolism in a high and low sucrose sugarcane cultivar. A comprehensive in silico analysis of the SoSPS family displayed their phylogenetic relationship, gene and protein structure, miRNA targets, protein interaction network (PPI), gene ontology and collinearity. This was followed by a spatial expression analysis in two different sugarcane varieties. The phylogenetic reconstruction distributed AtSPS, ZmSPS, OsSPS, SoSPS and SbSPS into three main groups (A, B, C). The regulatory region of SoSPS genes carries ABRE, ARE, G-box, and MYC as the most dominant cis-regulatory elements. The PPI analysis predicted a total of 14 unique proteins interacting with SPS. The predominant expression of SPS in chloroplast clearly indicates that they are the most active in the organelle which is the hub of photosynthesis. Similarly, gene ontology attributed SPS to sucrose phosphate synthase and glucosyl transferase molecular functions, as well as sucrose biosynthetic and disaccharide biological processes. Overall, the expression of SPS in CPF252 (high sucrose variety) was higher in leaf and culm as compared to that of CPF 251 (low sucrose variety). In brief, this study adds to the present literature about sugarcane, sucrose metabolism and role of SPS in sucrose metabolism thereby opening up further avenues of research in crop improvement.
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Affiliation(s)
- Robi Niazi
- Department of Botany, Women University Swabi, Swabi, Khyber Pakhtun Khwa, Pakistan
| | - Gulnaz Parveen
- Department of Botany, Women University Swabi, Swabi, Khyber Pakhtun Khwa, Pakistan
| | - Muhammad Noman
- National Institute for Genomics and Advanced Biotechnology, National Agricultural Research Center Islamabad Pakistan, Islamabad, Capital, Pakistan
| | - Naila Mukhtar
- Department of Botany, University of Okara, Okara, Punjab, Pakistan
| | - Naila Hadayat
- Department of Botany, Division of Science & Technology, University of Education, Lahor
| | - Amtul Sami
- Health Biotechnology, Women University Swabi, Swabi, Khyber Pakhtun Khwan, Pakistan
| | - Binish Khaliq
- Department of Botany, University of Okara, Okara, Punjab, Pakistan
| | - Jiban Shrestha
- Nepal Agricultural Research Council, National Plant Breeding and Genetics Research Centre, Khumaltar, Lalitpur, Nepal
| | - Irfan Ullah
- Department of Zoology, Karakaram International University, Ghizer, Gilgit, Pakistan
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