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He J, Xu Z, Azhar MT, Zhang Z, Li P, Gong J, Jiang X, Fan S, Ge Q, Yuan Y, Shang H. Comparative transcriptional and co-expression network analysis of two upland cotton accessions with extreme phenotypic differences reveals molecular mechanisms of fiber development. FRONTIERS IN PLANT SCIENCE 2023; 14:1189490. [PMID: 37719229 PMCID: PMC10502173 DOI: 10.3389/fpls.2023.1189490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Accepted: 07/26/2023] [Indexed: 09/19/2023]
Abstract
Introduction Upland cotton (Gossypium hirsutum) is the main source of natural fiber in the global textile industry, and thus its fiber quality and yield are important parameters. In this study, comparative transcriptomics was used to analyze differentially expressed genes (DEGs) due to its ability to effectively screen candidate genes during the developmental stages of cotton fiber. However, research using this method is limited, particularly on fiber development. The aim of this study was to uncover the molecular mechanisms underlying the whole period of fiber development and the differences in transcriptional levels. Methods Comparative transcriptomes are used to analyze transcriptome data and to screen for differentially expressed genes. STEM and WGCNA were used to screen for key genes involved in fiber development. qRT-PCR was performed to verify gene expression of selected DEGs and hub genes. Results Two accessions of upland cotton with extreme phenotypic differences, namely EZ60 and ZR014121, were used to carry out RNA sequencing (RNA-seq) on fiber samples from different fiber development stages. The results identified 704, 376, 141, 269, 761, and 586 genes that were upregulated, and 1,052, 476, 355, 259, 702, and 847 genes that were downregulated at 0, 5, 10, 15, 20, and 25 days post anthesis, respectively. Similar expression patterns of DEGs were monitored using short time-series expression miner (STEM) analysis, and associated pathways of DEGs within profiles were investigated. In addition, weighted gene co-expression network analysis (WGCNA) identified five key modules in fiber development and screened 20 hub genes involved in the development of fibers. Discussion Through the annotation of the genes, it was found that the excessive expression of resistance-related genes in the early fiber development stages affects the fiber yield, whereas the sustained expression of cell elongation-related genes is critical for long fibers. This study provides new information that can be used to improve fibers in newly developed upland cotton genotypes.
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Affiliation(s)
- Jiasen He
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Zhengzhou University, Zhengzhou Henan, China
| | - Zhongyang Xu
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Zhengzhou University, Zhengzhou Henan, China
| | - Muhammad Tehseen Azhar
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Zhengzhou University, Zhengzhou Henan, China
- Department of Plant Breeding and Genetics, University of Agriculture, Faisalabad, Pakistan
| | - Zhen Zhang
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Pengtao Li
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Anyang Institute of Technology, Anyang, China
| | - Juwu Gong
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Xiao Jiang
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Senmiao Fan
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Qun Ge
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Youlu Yuan
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Haihong Shang
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Zhengzhou University, Zhengzhou Henan, China
- National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
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2
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Song X, Zhang M, Shahzad K, Zhang X, Guo L, Qi T, Tang H, Wang H, Qiao X, Feng J, Han Y, Xing C, Wu J. Comparative Transcriptome Profiling of CMS-D2 and CMS-D8 Systems Characterizes Fertility Restoration Genes Network in Upland Cotton. Int J Mol Sci 2023; 24:10759. [PMID: 37445936 DOI: 10.3390/ijms241310759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 06/13/2023] [Accepted: 06/15/2023] [Indexed: 07/15/2023] Open
Abstract
Resolving the genetic basis of fertility restoration for cytoplasmic male sterility (CMS) can improve the efficiency of three-line hybrid breeding. However, the genetic determinants of male fertility restoration in cotton are still largely unknown. This study comprehensively compared the full-length transcripts of CMS-D2 and CMS-D8 systems to identify potential genes linked with fertility restorer genes Rf1 or Rf2. Target comparative analysis revealed a higher percentage of differential genes in each restorer line as compared to their corresponding sterile and maintainer lines. An array of genes with specific expression in the restorer line of CMS-D2 had functional annotations related to floral development and pathway enrichments in various secondary metabolites, while specifically expressed genes in the CMS-D8 restorer line showed functional annotations related to anther development and pathway enrichment in the biosynthesis of secondary metabolites. Further analysis identified potentially key genes located in the target region of fertility restorer genes Rf1 or Rf2. In particular, Ghir_D05G032450 can be the candidate gene related to restorer gene Rf1, and Ghir_D05G035690 can be the candidate gene associated with restorer gene Rf2. Further gene expression validation with qRT-PCR confirmed the accuracy of our results. Our findings provide useful insights into decoding the potential regulatory network that retrieves pollen fertility in cotton and will help to further reveal the differences in the genetic basis of fertility restoration for two CMS systems.
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Affiliation(s)
- Xiatong Song
- Zhengzhou Research Base, National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, School of Agricultural Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Meng Zhang
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Key Laboratory for Cotton Genetic Improvement, Ministry of Agriculture and Rural Affairs, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China
| | - Kashif Shahzad
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Key Laboratory for Cotton Genetic Improvement, Ministry of Agriculture and Rural Affairs, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China
| | - Xuexian Zhang
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Key Laboratory for Cotton Genetic Improvement, Ministry of Agriculture and Rural Affairs, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China
| | - Liping Guo
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Key Laboratory for Cotton Genetic Improvement, Ministry of Agriculture and Rural Affairs, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China
| | - Tingxiang Qi
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Key Laboratory for Cotton Genetic Improvement, Ministry of Agriculture and Rural Affairs, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China
| | - Huini Tang
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Key Laboratory for Cotton Genetic Improvement, Ministry of Agriculture and Rural Affairs, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China
| | - Hailin Wang
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Key Laboratory for Cotton Genetic Improvement, Ministry of Agriculture and Rural Affairs, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China
| | - Xiuqin Qiao
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Key Laboratory for Cotton Genetic Improvement, Ministry of Agriculture and Rural Affairs, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China
| | - Juanjuan Feng
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Key Laboratory for Cotton Genetic Improvement, Ministry of Agriculture and Rural Affairs, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China
| | - Yang Han
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Key Laboratory for Cotton Genetic Improvement, Ministry of Agriculture and Rural Affairs, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China
| | - Chaozhu Xing
- National Key Laboratory of Cotton Bio-Breeding and Integrated Utilization, Key Laboratory for Cotton Genetic Improvement, Ministry of Agriculture and Rural Affairs, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China
| | - Jianyong Wu
- 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, Key Laboratory for Cotton Genetic Improvement, Ministry of Agriculture and Rural Affairs, Institute of Cotton Research of Chinese Academy of Agricultural Sciences, Anyang 455000, China
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3
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Jareczek JJ, Grover CE, Hu G, Xiong X, Arick Ii MA, Peterson DG, Wendel JF. Domestication over Speciation in Allopolyploid Cotton Species: A Stronger Transcriptomic Pull. Genes (Basel) 2023; 14:1301. [PMID: 37372480 DOI: 10.3390/genes14061301] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 06/13/2023] [Accepted: 06/13/2023] [Indexed: 06/29/2023] Open
Abstract
Cotton has been domesticated independently four times for its fiber, but the genomic targets of selection during each domestication event are mostly unknown. Comparative analysis of the transcriptome during cotton fiber development in wild and cultivated materials holds promise for revealing how independent domestications led to the superficially similar modern cotton fiber phenotype in upland (G. hirsutum) and Pima (G. barbadense) cotton cultivars. Here we examined the fiber transcriptomes of both wild and domesticated G. hirsutum and G. barbadense to compare the effects of speciation versus domestication, performing differential gene expression analysis and coexpression network analysis at four developmental timepoints (5, 10, 15, or 20 days after flowering) spanning primary and secondary wall synthesis. These analyses revealed extensive differential expression between species, timepoints, domestication states, and particularly the intersection of domestication and species. Differential expression was higher when comparing domesticated accessions of the two species than between the wild, indicating that domestication had a greater impact on the transcriptome than speciation. Network analysis showed significant interspecific differences in coexpression network topology, module membership, and connectivity. Despite these differences, some modules or module functions were subject to parallel domestication in both species. Taken together, these results indicate that independent domestication led G. hirsutum and G. barbadense down unique pathways but that it also leveraged similar modules of coexpression to arrive at similar domesticated phenotypes.
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Affiliation(s)
- Josef J Jareczek
- Ecology, Evolution, and Organismal Biology Department, Iowa State University, Ames, IA 50010, USA
- Biology Department, Bellarmine University, Louisville, KY 40205, USA
| | - Corrinne E Grover
- Ecology, Evolution, and Organismal Biology Department, Iowa State University, Ames, IA 50010, USA
| | - Guanjing Hu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Xianpeng Xiong
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Mark A Arick Ii
- Institute for Genomics, Biocomputing & Biotechnology, Mississippi State University, Mississippi State, MS 39762, USA
| | - Daniel G Peterson
- Institute for Genomics, Biocomputing & Biotechnology, Mississippi State University, Mississippi State, MS 39762, USA
| | - Jonathan F Wendel
- Ecology, Evolution, and Organismal Biology Department, Iowa State University, Ames, IA 50010, USA
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Ilyas M, Ali I, Nasser Binjawhar D, Ullah S, Eldin SM, Ali B, Iqbal R, Bokhari SHA, Mahmood T. Molecular Characterization of Germin-like Protein Genes in Zea mays ( ZmGLPs) Using Various In Silico Approaches. ACS OMEGA 2023; 8:16327-16344. [PMID: 37179620 PMCID: PMC10173433 DOI: 10.1021/acsomega.3c01104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Accepted: 04/10/2023] [Indexed: 05/15/2023]
Abstract
Germin (GER) and germin-like proteins (GLPs) play an important role in various plant processes. Zea mays contains 26 germin-like protein genes (ZmGLPs) located on chromosomes 2, 4, and 10; most of which are functionally unexplored. The present study aimed to characterize all ZmGLPs using the latest computational tools. All of them were studied at a physicochemical, subcellular, structural, and functional level, and their expression was predicted in plant development, against biotic and abiotic stresses using various in silico approaches. Overall, ZmGLPs showed greater similarity in their physicochemical properties, domain architecture, and structure, mostly localized in the cytoplasmic or extracellular regions. Phylogenetically, they have a narrow genetic background with a recent history of gene duplication events on chromosome 4. Functional analysis revealed novel enzymatic activities of phosphoglycolate phosphatase, adenosylhomocysteinase, phosphoglycolate phosphatase-like, osmotin/thaumatin-like, and acetohydroxy acid isomeroreductase largely mediated by disulfide bonding. Expression analysis revealed their crucial role in the root, root tips, crown root, elongation and maturation zones, radicle, and cortex with the highest expression being observed during germination and at the maturity levels. Further, ZmGLPs showed strong expression against biotic (Aspergillus flavus, Colletotrichum graminicola, Cercospora zeina, Fusarium verticillioides, and Fusarium virguliforme) while limited expression was noted against abiotic stresses. Concisely, our results provide a platform for additional functional exploration of the ZmGLP genes against various environmental stresses.
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Affiliation(s)
- Muhammad Ilyas
- Department
of Botany, Kohsar University Murree, Murree 19679, Punjab, Pakistan
| | - Iftikhar Ali
- Centre
for Plant Science and Biodiversity, University
of Swat, Charbagh 19120, Pakistan
- Department
of Genetics and Development, Columbia University
Irving Medical Center, New York, New York 10032, United States
| | - Dalal Nasser Binjawhar
- Department
of Chemistry, College of Science, Princess
Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
| | - Sami Ullah
- Department
of Forestry & Range Management, Kohsar
University Murree, Murree 19679, Pakistan
| | - Sayed M Eldin
- Center
of
Research, Faculty of Engineering, Future
University in Egypt, New Cairo 11835, Egypt
| | - Baber Ali
- Department
of Plant Sciences, Quaid-i-Azam University, Islamabad 45320, Pakistan
| | - Rashid Iqbal
- Department
of Agronomy, Faculty of Agriculture and Environment, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan
| | - Syed Habib Ali Bokhari
- Department
of Biosciences, CUI, Islamabad, Pakistan; Faculty of Biomedical and
Life Sciences, Kohsar University Murree, Murree 19679, Pakistan
| | - Tariq Mahmood
- Department
of Plant Sciences, Quaid-i-Azam University, Islamabad 45320, Pakistan
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5
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Liu Z, Sun Z, Ke H, Chen B, Gu Q, Zhang M, Wu N, Chen L, Li Y, Meng C, Wang G, Wu L, Zhang G, Ma Z, Zhang Y, Wang X. Transcriptome, Ectopic Expression and Genetic Population Analysis Identify Candidate Genes for Fiber Quality Improvement in Cotton. Int J Mol Sci 2023; 24:ijms24098293. [PMID: 37175999 PMCID: PMC10179096 DOI: 10.3390/ijms24098293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 04/22/2023] [Accepted: 04/24/2023] [Indexed: 05/15/2023] Open
Abstract
Comparative transcriptome analysis of fiber tissues between Gossypium barbadense and Gossypium hirsutum could reveal the molecular mechanisms underlying high-quality fiber formation and identify candidate genes for fiber quality improvement. In this study, 759 genes were found to be strongly upregulated at the elongation stage in G. barbadense, which showed four distinct expression patterns (I-IV). Among them, the 346 genes of group IV stood out in terms of the potential to promote fiber elongation, in which we finally identified 42 elongation-related candidate genes by comparative transcriptome analysis between G. barbadense and G. hirsutum. Subsequently, we overexpressed GbAAR3 and GbTWS1, two of the 42 candidate genes, in Arabidopsis plants and validated their roles in promoting cell elongation. At the secondary cell wall (SCW) biosynthesis stage, 2275 genes were upregulated and exhibited five different expression profiles (I-V) in G. barbadense. We highlighted the critical roles of the 647 genes of group IV in SCW biosynthesis and further picked out 48 SCW biosynthesis-related candidate genes by comparative transcriptome analysis. SNP molecular markers were then successfully developed to distinguish the SCW biosynthesis-related candidate genes from their G. hirsutum orthologs, and the genotyping and phenotyping of a BC3F5 population proved their potential in improving fiber strength and micronaire. Our results contribute to the better understanding of the fiber quality differences between G. barbadense and G. hirsutum and provide novel alternative genes for fiber quality improvement.
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Affiliation(s)
- Zhengwen Liu
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding 071001, China
| | - Zhengwen Sun
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding 071001, China
| | - Huifeng Ke
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding 071001, China
| | - Bin Chen
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding 071001, China
| | - Qishen Gu
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding 071001, China
| | - Man Zhang
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding 071001, China
| | - Nan Wu
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding 071001, China
| | - Liting Chen
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding 071001, China
| | - Yanbin Li
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding 071001, China
| | - Chengsheng Meng
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding 071001, China
| | - Guoning Wang
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding 071001, China
| | - Liqiang Wu
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding 071001, China
| | - Guiyin Zhang
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding 071001, China
| | - Zhiying Ma
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding 071001, China
| | - Yan Zhang
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding 071001, China
| | - Xingfen Wang
- State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding 071001, China
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Wang Z, Rehman A, Jia Y, Dai P, He S, Wang X, Li H, Wang L, Qayyum A, Peng Z, Du X. Transcriptome and proteome profiling revealed the key genes and pathways involved in the fiber quality formation in brown cotton. Gene 2023; 868:147374. [PMID: 36934785 DOI: 10.1016/j.gene.2023.147374] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 03/06/2023] [Accepted: 03/13/2023] [Indexed: 03/19/2023]
Abstract
Colored cotton is also called eco-cotton because of its natural color fiber. It is inferior in yield and quality than white cotton. The underlying regulatory genes involved in fiber quality and pigment synthesis are not well understood. This study aimed to investigate the transcriptomic and proteomic changes during fiber development in a brown cotton cultivar (Z161) and a white cotton cultivar. The differential proteins with the same expression trend as genes were significantly and positively correlated with corresponding fold changes in expression. Enrichment analysis revealed that Z161, enriched in fiber elongation genes related to flavonoid biosynthesis, phenylalanine metabolism, glutathione metabolism, and many more genes (proteins) are up-regulated. Moreover, 164 glycosyltransferases genes, 15 MYB-bHLH-WD40 genes, and other transcription factors such as C2H2 (12), ERF (11), and NAC (7) were preferentially expressed in Z161. Weighted correlation network analysis identified fatty acid synthesis and energy metabolism as the principal metabolic pathways in both cotton genotypes during fiber development. Identified 15 hub genes will provide important insights for genetic manipulation of fiber quality and pigment deposition balance in brown cotton fibers.
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Affiliation(s)
- Zhenzhen Wang
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou, 450001, China; State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Science (ICR, CAAS), Anyang 455000, China
| | - Abdul Rehman
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou, 450001, China
| | - Yinhua Jia
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou, 450001, China; State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Science (ICR, CAAS), Anyang 455000, China
| | - Panhong Dai
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Science (ICR, CAAS), Anyang 455000, China
| | - Shoupu He
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou, 450001, China; State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Science (ICR, CAAS), Anyang 455000, China
| | - Xiaoyang Wang
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou, 450001, China; State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Science (ICR, CAAS), Anyang 455000, China
| | - Hongge Li
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou, 450001, China; State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Science (ICR, CAAS), Anyang 455000, China
| | - Liru Wang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Science (ICR, CAAS), Anyang 455000, China
| | - Abdul Qayyum
- Department of Plant Breeding and Genetics, Bahauddin Zakariya University, Multan 66000, Pakistan
| | - Zhen Peng
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou, 450001, China; State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Science (ICR, CAAS), Anyang 455000, China; National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, Hainan 572024, China.
| | - Xiongming Du
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou, 450001, China; State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Science (ICR, CAAS), Anyang 455000, China; National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya, Hainan 572024, China
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7
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Jiao Y, Long Y, Xu K, Zhao F, Zhao J, Li S, Geng S, Gao W, Sun P, Deng X, Chen Q, Li C, Qu Y. Weighted Gene Co-Expression Network Analysis Reveals Hub Genes for Fuzz Development in Gossypium hirsutum. Genes (Basel) 2023; 14:208. [PMID: 36672949 PMCID: PMC9858766 DOI: 10.3390/genes14010208] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 01/02/2023] [Accepted: 01/11/2023] [Indexed: 01/14/2023] Open
Abstract
Fuzzless Gossypium hirsutum mutants are ideal materials for investigating cotton fiber initiation and development. In this study, we used the fuzzless G. hirsutum mutant Xinluzao 50 FLM as the research material and combined it with other fuzzless materials for verification by RNA sequencing to explore the gene expression patterns and differences between genes in upland cotton during the fuzz period. A gene ontology (GO) enrichment analysis showed that differentially expressed genes (DEGs) were mainly enriched in the metabolic process, microtubule binding, and other pathways. A weighted gene co-expression network analysis (WGCNA) showed that two modules of Xinluzao 50 and Xinluzao 50 FLM and four modules of CSS386 and Sicala V-2 were highly correlated with fuzz. We selected the hub gene with the highest KME value among the six modules and constructed an interaction network. In addition, we selected some genes with high KME values from the six modules that were highly associated with fuzz in the four materials and found 19 common differential genes produced by the four materials. These 19 genes are likely involved in the formation of fuzz in upland cotton. Several hub genes belong to the arabinogalactan protein and GDSL lipase, which play important roles in fiber development. According to the differences in expression level, 4 genes were selected from the 19 genes and tested for their expression level in some fuzzless materials. The modules, hub genes, and common genes identified in this study can provide new insights into the formation of fiber and fuzz, and provide a reference for molecular design breeding for the genetic improvement of cotton fiber.
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Affiliation(s)
- Yang Jiao
- College of Agriculture, Xinjiang Agricultural University, Urumqi 830052, China
| | - Yilei Long
- Institute of Cash Crops, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China
| | - Kaixiang Xu
- College of Agriculture, Xinjiang Agricultural University, Urumqi 830052, China
| | - Fuxiang Zhao
- Xinjiang Academy of Agricultural Reclamation, Shihezi 832000, China
| | - Jieyin Zhao
- College of Agriculture, Xinjiang Agricultural University, Urumqi 830052, China
| | - Shengmei Li
- College of Agriculture, Xinjiang Agricultural University, Urumqi 830052, China
| | - Shiwei Geng
- College of Agriculture, Xinjiang Agricultural University, Urumqi 830052, China
| | - Wenju Gao
- College of Agriculture, Xinjiang Agricultural University, Urumqi 830052, China
| | - Peng Sun
- Xinjiang Kuitun Agricultural and Rural Bureau, KuiTun 833200, China
| | - Xiaojuan Deng
- College of Agriculture, Xinjiang Agricultural University, Urumqi 830052, China
| | - Quanjia Chen
- College of Agriculture, Xinjiang Agricultural University, Urumqi 830052, China
| | - Chunpin Li
- Institute of Cash Crops, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China
| | - Yanying Qu
- College of Agriculture, Xinjiang Agricultural University, Urumqi 830052, China
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Duan Y, Chen Q, Chen Q, Zheng K, Cai Y, Long Y, Zhao J, Guo Y, Sun F, Qu Y. Analysis of transcriptome data and quantitative trait loci enables the identification of candidate genes responsible for fiber strength in Gossypium barbadense. G3 GENES|GENOMES|GENETICS 2022; 12:6650278. [PMID: 35881688 PMCID: PMC9434320 DOI: 10.1093/g3journal/jkac167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 06/23/2022] [Indexed: 11/13/2022]
Abstract
Gossypium barbadense possesses a superior fiber quality because of its fiber length and strength. An in-depth analysis of the underlying genetic mechanism could aid in filling the gap in research regarding fiber strength and could provide helpful information for Gossypium barbadense breeding. Three quantitative trait loci related to fiber strength were identified from a Gossypium barbadense recombinant inbred line (PimaS-7 × 5917) for further analysis. RNA sequencing was performed in the fiber tissues of PimaS-7 × 5917 0–35 days postanthesis. Four specific modules closely related to the secondary wall-thickening stage were obtained using the weighted gene coexpression network analysis. In total, 55 genes were identified as differentially expressed from 4 specific modules. Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes were used for enrichment analysis, and Gbar_D11G032910, Gbar_D08G020540, Gbar_D08G013370, Gbar_D11G033670, and Gbar_D11G029020 were found to regulate fiber strength by playing a role in the composition of structural constituents of cytoskeleton and microtubules during fiber development. Quantitative real-time PCR results confirmed the accuracy of the transcriptome data. This study provides a quick strategy for exploring candidate genes and provides new insights for improving fiber strength in cotton.
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Affiliation(s)
- Yajie Duan
- College of Agronomy, Xinjiang Agricultural University , Urumqi, Xinjiang 830052, China
| | - Qin Chen
- College of Agronomy, Xinjiang Agricultural University , Urumqi, Xinjiang 830052, China
| | - Quanjia Chen
- College of Agronomy, Xinjiang Agricultural University , Urumqi, Xinjiang 830052, China
| | - Kai Zheng
- College of Agronomy, Xinjiang Agricultural University , Urumqi, Xinjiang 830052, China
| | - Yongsheng Cai
- College of Agronomy, Xinjiang Agricultural University , Urumqi, Xinjiang 830052, China
| | - Yilei Long
- College of Agronomy, Xinjiang Agricultural University , Urumqi, Xinjiang 830052, China
| | - Jieyin Zhao
- College of Agronomy, Xinjiang Agricultural University , Urumqi, Xinjiang 830052, China
| | - Yaping Guo
- College of Agronomy, Xinjiang Agricultural University , Urumqi, Xinjiang 830052, China
| | - Fenglei Sun
- College of Agronomy, Xinjiang Agricultural University , Urumqi, Xinjiang 830052, China
| | - Yanying Qu
- College of Agronomy, Xinjiang Agricultural University , Urumqi, Xinjiang 830052, China
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9
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Razzaq A, Zafar MM, Ali A, Hafeez A, Sharif F, Guan X, Deng X, Pengtao L, Shi Y, Haroon M, Gong W, Ren M, Yuan Y. The Pivotal Role of Major Chromosomes of Sub-Genomes A and D in Fiber Quality Traits of Cotton. Front Genet 2022; 12:642595. [PMID: 35401652 PMCID: PMC8988190 DOI: 10.3389/fgene.2021.642595] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 10/25/2021] [Indexed: 02/02/2023] Open
Abstract
Lack of precise information about the candidate genes involved in a complex quantitative trait is a major obstacle in the cotton fiber quality improvement, and thus, overall genetic gain in conventional phenotypic selection is low. Recent molecular interventions and advancements in genome sequencing have led to the development of high-throughput molecular markers, quantitative trait locus (QTL) fine mapping, and single nucleotide polymorphisms (SNPs). These advanced tools have resolved the existing bottlenecks in trait-specific breeding. This review demonstrates the significance of chromosomes 3, 7, 9, 11, and 12 of sub-genomes A and D carrying candidate genes for fiber quality. However, chromosome 7 carrying SNPs for stable and potent QTLs related to fiber quality provides great insights for fiber quality-targeted research. This information can be validated by marker-assisted selection (MAS) and transgene in Arabidopsis and subsequently in cotton.
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Affiliation(s)
- Abdul Razzaq
- State Key Laboratory of Cotton Biology, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
- Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
- Institute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan
- *Correspondence: Abdul Razzaq, ; Youlu Yuan , ; Maozhi Ren,
| | - Muhammad Mubashar Zafar
- State Key Laboratory of Cotton Biology, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
- Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
| | - Arfan Ali
- FB Genetics Four Brothers Group, Lahore, Pakistan
| | - Abdul Hafeez
- State Key Laboratory of Cotton Biology, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
- Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
| | - Faiza Sharif
- University Institute of Physical Therapy, The University of Lahore, Lahore, Pakistan
| | | | - Xiaoying Deng
- State Key Laboratory of Cotton Biology, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
- Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
| | - Li Pengtao
- School of Biotechnology and Food Engineering, Anyang Institute of Technology, Anyang, China
| | - Yuzhen Shi
- State Key Laboratory of Cotton Biology, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
- Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
| | - Muhammad Haroon
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Wankui Gong
- State Key Laboratory of Cotton Biology, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
- Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
| | - Maozhi Ren
- State Key Laboratory of Cotton Biology, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
- Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou, China
- *Correspondence: Abdul Razzaq, ; Youlu Yuan , ; Maozhi Ren,
| | - Youlu Yuan
- Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Science, Anyang, China
- Zhengzhou Research Base, State Key Laboratory of Cotton Biology, Zhengzhou University, Zhengzhou, China
- *Correspondence: Abdul Razzaq, ; Youlu Yuan , ; Maozhi Ren,
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10
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Liu X, Yang L, Wang J, Wang Y, Guo Z, Li Q, Yang J, Wu Y, Chen L, Teng Z, Liu D, Liu D, Guo K, Zhang Z. Analyzing Quantitative Trait Loci for Fiber Quality and Yield-Related Traits From a Recombinant Inbred Line Population With Gossypium hirsutum Race palmeri as One Parent. FRONTIERS IN PLANT SCIENCE 2022; 12:817748. [PMID: 35046989 PMCID: PMC8763314 DOI: 10.3389/fpls.2021.817748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 12/01/2021] [Indexed: 06/14/2023]
Abstract
Fiber quality and yield-related traits are important agronomic traits in cotton breeding. To detect the genetic basis of fiber quality and yield related traits, a recombinant inbred line (RIL) population consisting of 182 lines was established from a cross between Gossypium hirsutum cultivar CCRI35 and G. hirsutum race palmeri accession TX-832. The RIL population was deeply genotyped using SLAF-seq and was phenotyped in six environments. A high-density genetic linkage map with 15,765 SNP markers and 153 SSR markers was constructed, with an average distance of 0.30 cM between adjacent markers. A total of 210 fiber quality quantitative trait loci (QTLs) and 73 yield-related QTLs were identified. Of the detected QTLs, 62 fiber quality QTLs and 10 yield-related QTLs were stable across multiple environments. Twelve and twenty QTL clusters were detected on the At and Dt subgenome, respectively. Twenty-three major QTL clusters were further validated through associated analysis and five candidate genes of four stable fiber quality QTLs were identified. This study revealed elite loci influencing fiber quality and yield and significant phenotypic selection regions during G. hirsutum domestication, and set a stage for future utilization of molecular marker assisted breeding in cotton breeding programs.
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11
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Jiang X, Gong J, Zhang J, Zhang Z, Shi Y, Li J, Liu A, Gong W, Ge Q, Deng X, Fan S, Chen H, Kuang Z, Pan J, Che J, Zhang S, Jia T, Wei R, Chen Q, Wei S, Shang H, Yuan Y. Quantitative Trait Loci and Transcriptome Analysis Reveal Genetic Basis of Fiber Quality Traits in CCRI70 RIL Population of Gossypium hirsutum. FRONTIERS IN PLANT SCIENCE 2021; 12:753755. [PMID: 34975939 PMCID: PMC8716697 DOI: 10.3389/fpls.2021.753755] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 11/11/2021] [Indexed: 06/14/2023]
Abstract
Upland cotton (Gossypium hirsutum) is widely planted around the world for its natural fiber, and producing high-quality fiber is essential for the textile industry. CCRI70 is a hybrid cotton plant harboring superior yield and fiber quality, whose recombinant inbred line (RIL) population was developed from two upland cotton varieties (sGK156 and 901-001) and were used here to investigate the source of high-quality related alleles. Based on the material of the whole population, a high-density genetic map was constructed using specific locus-amplified fragment sequencing (SLAF-seq). It contained 24,425 single nucleotide polymorphism (SNP) markers, spanning a distance of 4,850.47 centimorgans (cM) over 26 chromosomes with an average marker interval of 0.20 cM. In evaluating three fiber quality traits in nine environments to detect multiple environments stable quantitative trait loci (QTLs), we found 289 QTLs, of which 36 of them were stable QTLs and 18 were novel. Based on the transcriptome analysis for two parents and two RILs, 24,941 unique differentially expressed genes (DEGs) were identified, 473 of which were promising genes. For the fiber strength (FS) QTLs, 320 DEGs were identified, suggesting that pectin synthesis, phenylpropanoid biosynthesis, and plant hormone signaling pathways could influence FS, and several transcription factors may regulate fiber development, such as GAE6, C4H, OMT1, AFR18, EIN3, bZIP44, and GAI. Notably, the marker D13_56413025 in qFS-chr18-4 provides a potential basis for enhancing fiber quality of upland cotton via marker-assisted breeding and gene cloning of important fiber quality traits.
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Affiliation(s)
- Xiao Jiang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Juwu Gong
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
- College of Agriculture, Engineering Research Centre of Cotton of Ministry of Education, Xinjiang Agricultural University, Ürümqi, China
| | - Jianhong Zhang
- Institute of Cotton, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, China
| | - Zhen Zhang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Yuzhen Shi
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Junwen Li
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Aiying Liu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Wankui Gong
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Qun Ge
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Xiaoying Deng
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Senmiao Fan
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Haodong Chen
- Cotton Sciences Research Institute of Hunan, National Hybrid Cotton Research Promotion Center, Changde, China
| | - Zhengcheng Kuang
- Cotton Sciences Research Institute of Hunan, National Hybrid Cotton Research Promotion Center, Changde, China
| | - Jingtao Pan
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Jincan Che
- School of Agricultural Sciences, Zhengzhou University, Zhengzhou, China
| | - Shuya Zhang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Tingting Jia
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Renhui Wei
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Quanjia Chen
- College of Agriculture, Engineering Research Centre of Cotton of Ministry of Education, Xinjiang Agricultural University, Ürümqi, China
| | - Shoujun Wei
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Haihong Shang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
- School of Agricultural Sciences, Zhengzhou University, Zhengzhou, China
| | - Youlu Yuan
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
- College of Agriculture, Engineering Research Centre of Cotton of Ministry of Education, Xinjiang Agricultural University, Ürümqi, China
- School of Agricultural Sciences, Zhengzhou University, Zhengzhou, China
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12
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Lu Q, Xiao X, Gong J, Li P, Zhao Y, Feng J, Peng R, Shi Y, Yuan Y. Identification of Candidate Cotton Genes Associated With Fiber Length Through Quantitative Trait Loci Mapping and RNA-Sequencing Using a Chromosome Segment Substitution Line. FRONTIERS IN PLANT SCIENCE 2021; 12:796722. [PMID: 34970293 PMCID: PMC8712442 DOI: 10.3389/fpls.2021.796722] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Accepted: 11/23/2021] [Indexed: 06/14/2023]
Abstract
Fiber length is an important determinant of fiber quality, and it is a quantitative multi-genic trait. Identifying genes associated with fiber length is of great importance for efforts to improve fiber quality in the context of cotton breeding. Integrating transcriptomic information and details regarding candidate gene regions can aid in candidate gene identification. In the present study, the CCRI45 line and a chromosome segment substitution line (CSSL) with a significantly higher fiber length (MBI7747) were utilized to establish F2 and F2:3 populations. Using a high-density genetic map published previously, six quantitative trait loci (QTLs) associated with fiber length and two QTLs associated with fiber strength were identified on four chromosomes. Within these QTLs, qFL-A07-1, qFL-A12-2, qFL-A12-5, and qFL-D02-1 were identified in two or three environments and confirmed by a meta-analysis. By integrating transcriptomic data from the two parental lines and through qPCR analyses, four genes associated with these QTLs including Cellulose synthase-like protein D3 (CSLD3, GH_A12G2259 for qFL-A12-2), expansin-A1 (EXPA1, GH_A12G1972 for qFL-A12-5), plasmodesmata callose-binding protein 3 (PDCB3, GH_A12G2014 for qFL-A12-5), and Polygalacturonase (At1g48100, GH_D02G0616 for qFL-D02-1) were identified as promising candidate genes associated with fiber length. Overall, these results offer a robust foundation for further studies regarding the molecular basis for fiber length and for efforts to improve cotton fiber quality.
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Affiliation(s)
- Quanwei Lu
- School of Biotechnology and Food Engineering, Anyang Institute of Technology, Anyang, China
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Xianghui Xiao
- School of Biotechnology and Food Engineering, Anyang Institute of Technology, Anyang, China
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Juwu Gong
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Pengtao Li
- School of Biotechnology and Food Engineering, Anyang Institute of Technology, Anyang, China
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Yan Zhao
- School of Biotechnology and Food Engineering, Anyang Institute of Technology, Anyang, China
| | - Jiajia Feng
- School of Biotechnology and Food Engineering, Anyang Institute of Technology, Anyang, China
| | - Renhai Peng
- School of Biotechnology and Food Engineering, Anyang Institute of Technology, Anyang, China
| | - Yuzhen Shi
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Youlu Yuan
- School of Biotechnology and Food Engineering, Anyang Institute of Technology, Anyang, China
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
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13
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Gao Y, Chen Y, Song Z, Zhang J, Lv W, Zhao H, Huo X, Zheng L, Wang F, Zhang J, Zhang T. Comparative Dynamic Transcriptome Reveals the Delayed Secondary-Cell-Wall Thickening Results in Altered Lint Percentage and Fiber Elongation in a Chromosomal Segment Substitution Line of Cotton ( Gossypium hirsutum L.). FRONTIERS IN PLANT SCIENCE 2021; 12:756434. [PMID: 34759948 PMCID: PMC8573213 DOI: 10.3389/fpls.2021.756434] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 09/23/2021] [Indexed: 06/13/2023]
Abstract
Lint percentage (LP) is an important yield component in cotton that is usually affected by initial fiber number and cell wall thickness. To explore how fiber cell wall development affects LP, phenotypic identification and dynamic transcriptome analysis were conducted using a single segment substitution line of chromosome 15 (SL15) that harbors a major quantitative trait locus (QTL) for LP. Compared to its recurrent parent LMY22, SL15 did not differ in initial fiber number, but the fiber cell wall thickness and single-fiber weight decreased significantly, altering LP. The comparative transcriptome profiles revealed that the secondary cell wall (SCW) development phase of SL15 was relatively delayed. Meanwhile, the expression of genes related to cell expansion decreased more slightly in SL15 with fiber development, resulting in relatively higher expression at SL15_25D than at LMY22_25D. SCW development-related genes, such as GhNACs and GhMYBs, in the putative NAC-MYB-CESA network differentially expressed at SL15_25D, along with the lower expression of CESA6, CSLC12, and CSLA2. The substituted chromosomal interval was further investigated, and found 6 of 146 candidate genes were differentially expressed in all four cell development periods including 10, 15, 20 and 25 DPA. Genetic variation and co-expression analysis showed that GH_D01G0052, GH_D01G0099, GH_D01G0100, and GH_D01G0140 may be important candidate genes associated with qLP-C15-1. Our results provide novel insights into cell wall development and its relationship with LP, which is beneficial for lint yield and fiber quality improvement.
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Affiliation(s)
- Yang Gao
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
- Key Laboratory of Cotton Breeding and Cultivation in Huang-Huai-Hai Plain, Ministry of Agriculture and Rural Affairs, Cotton Research Center, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Yu Chen
- Key Laboratory of Cotton Breeding and Cultivation in Huang-Huai-Hai Plain, Ministry of Agriculture and Rural Affairs, Cotton Research Center, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Zhangqiang Song
- Key Laboratory of Cotton Breeding and Cultivation in Huang-Huai-Hai Plain, Ministry of Agriculture and Rural Affairs, Cotton Research Center, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Jingxia Zhang
- Key Laboratory of Cotton Breeding and Cultivation in Huang-Huai-Hai Plain, Ministry of Agriculture and Rural Affairs, Cotton Research Center, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Wanyu Lv
- Key Laboratory of Cotton Breeding and Cultivation in Huang-Huai-Hai Plain, Ministry of Agriculture and Rural Affairs, Cotton Research Center, Shandong Academy of Agricultural Sciences, Jinan, China
- College of Life Sciences, Shandong Normal University, Jinan, China
| | - Han Zhao
- Key Laboratory of Cotton Breeding and Cultivation in Huang-Huai-Hai Plain, Ministry of Agriculture and Rural Affairs, Cotton Research Center, Shandong Academy of Agricultural Sciences, Jinan, China
- College of Life Sciences, Shandong Normal University, Jinan, China
| | - Xuehan Huo
- Key Laboratory of Cotton Breeding and Cultivation in Huang-Huai-Hai Plain, Ministry of Agriculture and Rural Affairs, Cotton Research Center, Shandong Academy of Agricultural Sciences, Jinan, China
- College of Life Sciences, Shandong Normal University, Jinan, China
| | - Ling Zheng
- College of Life Sciences, Shandong Normal University, Jinan, China
| | - Furong Wang
- Key Laboratory of Cotton Breeding and Cultivation in Huang-Huai-Hai Plain, Ministry of Agriculture and Rural Affairs, Cotton Research Center, Shandong Academy of Agricultural Sciences, Jinan, China
- College of Life Sciences, Shandong Normal University, Jinan, China
| | - Jun Zhang
- Key Laboratory of Cotton Breeding and Cultivation in Huang-Huai-Hai Plain, Ministry of Agriculture and Rural Affairs, Cotton Research Center, Shandong Academy of Agricultural Sciences, Jinan, China
- College of Life Sciences, Shandong Normal University, Jinan, China
| | - Tianzhen Zhang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, Institute of Crop Science, College of Agriculture and Biotechnology, Plant Precision Breeding Academy, Zhejiang University, Hangzhou, China
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14
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Jiang X, Fan L, Li P, Zou X, Zhang Z, Fan S, Gong J, Yuan Y, Shang H. Co-expression network and comparative transcriptome analysis for fiber initiation and elongation reveal genetic differences in two lines from upland cotton CCRI70 RIL population. PeerJ 2021; 9:e11812. [PMID: 34327061 PMCID: PMC8308610 DOI: 10.7717/peerj.11812] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 06/28/2021] [Indexed: 01/23/2023] Open
Abstract
Upland cotton is the most widely planted for natural fiber around the world, and either lint percentage (LP) or fiber length (FL) is the crucial component tremendously affecting cotton yield and fiber quality, respectively. In this study, two lines MBZ70-053 and MBZ70-236 derived from G. hirsutum CCRI70 recombinant inbred line (RIL) population presenting different phenotypes in LP and FL traits were chosen to conduct RNA sequencing on ovule and fiber samples, aiming at exploring the differences of molecular and genetic mechanisms during cotton fiber initiation and elongation stages. As a result, 249/128, 369/206, 4296/1198 and 3547/2129 up-/down- regulated differentially expressed genes (DGEs) in L2 were obtained at -3, 0, 5 and 10 days post-anthesis (DPA), respectively. Seven gene expression profiles were discriminated using Short Time-series Expression Miner (STEM) analysis; seven modules and hub genes were identified using weighted gene co-expression network analysis. The DEGs were mainly enriched into energetic metabolism and accumulating as well as auxin signaling pathway in initiation and elongation stages, respectively. Meanwhile, 29 hub genes were identified as 14-3-3ω , TBL35, GhACS, PME3, GAMMA-TIP, PUM-7, etc., where the DEGs and hub genes revealed the genetic and molecular mechanisms and differences during cotton fiber development.
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Affiliation(s)
- Xiao Jiang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China
| | - Liqiang Fan
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China.,School of Agricultural Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Pengtao Li
- School of Biotechnology and Food Engineering, Anyang Institute of Technology, Anyang, Henan, China
| | - Xianyan Zou
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China
| | - Zhen Zhang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China
| | - Senmiao Fan
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China
| | - Juwu Gong
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China
| | - Youlu Yuan
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China.,School of Agricultural Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Haihong Shang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China.,School of Agricultural Sciences, Zhengzhou University, Zhengzhou, Henan, China
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15
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Naoumkina M, Thyssen GN, Fang DD, Bechere E, Li P, Florane CB. Mapping-by-sequencing the locus of EMS-induced mutation responsible for tufted-fuzzless seed phenotype in cotton. Mol Genet Genomics 2021; 296:1041-1049. [PMID: 34110475 DOI: 10.1007/s00438-021-01802-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 06/02/2021] [Indexed: 11/28/2022]
Abstract
Cotton fiber mutants are valuable resources for studying functions of altered genes and their roles in fiber development. The n4t is a recessive tufted-fuzzless seed mutant created through chemical mutagenesis with ethyl methanesulfonate. Genetic analysis indicated that the tufted-fuzzless phenotype is controlled by a single recessive locus. In this study, we developed an F2 population of 602 progeny plants and sequenced the genomes of the parents and two DNA bulks from F2 progenies showing the mutant phenotype. We identified DNA sequence variants between the tufted-fuzzless mutant and wild type by aligning the sequence reads to the reference TM-1 genome and designed subgenome-specific SNP markers. We mapped the n4t locus on chromosome D04 within a genomic interval of about 411 kb. In this region, seven genes showed significant differential expression between the tufted-fuzzless mutant and wild type. Possible candidate genes are discussed in this study. The utilization of the n4t mutant along with other fiber mutants will facilitate our understanding of the molecular mechanisms of cotton fiber cell growth and development.
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Affiliation(s)
- Marina Naoumkina
- Cotton Fiber Bioscience Research Unit, USDA-ARS-SRRC, New Orleans, LA, 70124, USA.
| | - Gregory N Thyssen
- Cotton Fiber Bioscience Research Unit, USDA-ARS-SRRC, New Orleans, LA, 70124, USA.,Cotton Chemistry and Utilization Research Unit, USDA-ARS-SRRC, New Orleans, LA, 70124, USA
| | - David D Fang
- Cotton Fiber Bioscience Research Unit, USDA-ARS-SRRC, New Orleans, LA, 70124, USA
| | - Efrem Bechere
- Crop Genetics Research Unit, USDA-ARS, Stoneville, MS, 38776, USA
| | - Ping Li
- Cotton Fiber Bioscience Research Unit, USDA-ARS-SRRC, New Orleans, LA, 70124, USA
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16
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Shi Y, Liu A, Li J, Zhang J, Li S, Zhang J, Ma L, He R, Song W, Guo L, Lu Q, Xiang X, Gong W, Gong J, Ge Q, Shang H, Deng X, Pan J, Yuan Y. Examining two sets of introgression lines across multiple environments reveals background-independent and stably expressed quantitative trait loci of fiber quality in cotton. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:2075-2093. [PMID: 32185421 PMCID: PMC7311500 DOI: 10.1007/s00122-020-03578-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Accepted: 03/07/2020] [Indexed: 05/29/2023]
Abstract
Background-independent (BI) and stably expressed (SE) quantitative trait loci (QTLs) were identified using two sets of introgression lines across multiple environments. Genetic background more greatly affected fiber quality traits than environmental factors. Sixty-one SE-QTLs, including two BI-QTLs, were novel and 48 SE-QTLs, including seven BI-QTLs, were previously reported. Cotton fiber quality traits are controlled by QTLs and are susceptible to environmental influence. Fiber quality improvement is an essential goal in cotton breeding but is hindered by limited knowledge of the genetic basis of fiber quality traits. In this study, two sets of introgression lines of Gossypium hirsutum × G. barbadense were used to dissect the QTL stability of three fiber quality traits (fiber length, strength and micronaire) across environments using 551 simple sequence repeat markers selected from our high-density genetic map. A total of 76 and 120 QTLs were detected in the CCRI36 and CCRI45 backgrounds, respectively. Nine BI-QTLs were found, and 78 (41.71%) of the detected QTLs were reported previously. Thirty-nine and 79 QTLs were SE-QTLs in at least two environments in the CCRI36 and CCRI45 backgrounds, respectively. Forty-eight SE-QTLs, including seven BI-QTLs, were confirmed in previous reports, and 61 SE-QTLs, including two BI-QTLs, were considered novel. These results indicate that genetic background more strongly impacts on fiber quality traits than environmental factors. Twenty-three clusters with BI- and/or SE-QTLs were identified, 19 of which harbored favorable alleles from G. barbadense for two or three fiber quality traits. This study is the first report using two sets of introgression lines to identify fiber quality QTLs across environments in cotton, providing insights into the effect of genetic backgrounds and environments on the QTL expression of fiber quality and important information for the genetic basis underlying fiber quality traits toward QTL cloning and molecular breeding.
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Affiliation(s)
- Yuzhen Shi
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Aiying Liu
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Junwen Li
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Jinfa Zhang
- Department of Plant and Environmental Sciences, New Mexico State University, Las Cruces, NM, 88003, USA
| | - Shaoqi Li
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Jinfeng Zhang
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Liujun Ma
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Rui He
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Weiwu Song
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Lixue Guo
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Quanwei Lu
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Xianghui Xiang
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Wankui Gong
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Juwu Gong
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Qun Ge
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Haihong Shang
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Xiaoying Deng
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Jingtao Pan
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Youlu Yuan
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China.
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Ali M, Cheng H, Soomro M, Shuyan L, Bilal Tufail M, Nazir MF, Feng X, Zhang Y, Dongyun Z, Limin L, Wang Q, Song G. Comparative Transcriptomic Analysis to Identify the Genes Related to Delayed Gland Morphogenesis in Gossypium bickii. Genes (Basel) 2020; 11:genes11050472. [PMID: 32357512 PMCID: PMC7290383 DOI: 10.3390/genes11050472] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Revised: 04/15/2020] [Accepted: 04/19/2020] [Indexed: 12/17/2022] Open
Abstract
Cotton is one of the major industrial crops that supply natural fibers and oil for industries. This study was conducted to understand the mechanism of delayed gland morphogenesis in seeds of Gossypium bickii. In this study, we compared glandless seeds of G. bickii with glanded seeds of Gossypium arboreum. High-throughput sequencing technology was used to explore and classify the expression patterns of gland-related genes in seeds and seedlings of cotton plants. Approximately 131.33 Gigabases of raw data from 12 RNA sequencing samples with three biological replicates were generated. A total of 7196 differentially-expressed genes (DEGs) were identified in all transcriptome data. Among them, 3396 genes were found up-regulated and 3480 genes were down-regulated. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) annotations were performed to identify different functions between genes unique to glandless imbibed seeds and glanded seedlings. Co-expression network analysis revealed four modules that were identified as highly associated with the development of glandless seeds. Here the hub genes in each module were identified by weighted gene co-expression network analysis (WGCNA). In total, we have selected 13 genes involved in transcription factors, protein and MYB-related functions, that were differentially expressed in transcriptomic data and validated by quantitative reverse-transcription polymerase chain reaction (qRT-PCR). These selected genes may play an important role for delayed gland morphogenesis. Our study provides comprehensive insight into the key genes related to glandless traits of seeds and plants, and can be further exploited by functional and molecular studies.
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Affiliation(s)
- Mushtaque Ali
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China; (M.A.); (H.C.); (M.S.); (L.S.); (M.B.T.); (M.F.N.); (X.F.); (Y.Z.); (Z.D.); (L.L.); (Q.W.)
| | - Hailiang Cheng
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China; (M.A.); (H.C.); (M.S.); (L.S.); (M.B.T.); (M.F.N.); (X.F.); (Y.Z.); (Z.D.); (L.L.); (Q.W.)
| | - Mahtab Soomro
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China; (M.A.); (H.C.); (M.S.); (L.S.); (M.B.T.); (M.F.N.); (X.F.); (Y.Z.); (Z.D.); (L.L.); (Q.W.)
| | - Li Shuyan
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China; (M.A.); (H.C.); (M.S.); (L.S.); (M.B.T.); (M.F.N.); (X.F.); (Y.Z.); (Z.D.); (L.L.); (Q.W.)
| | - Muhammad Bilal Tufail
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China; (M.A.); (H.C.); (M.S.); (L.S.); (M.B.T.); (M.F.N.); (X.F.); (Y.Z.); (Z.D.); (L.L.); (Q.W.)
| | - Mian Faisal Nazir
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China; (M.A.); (H.C.); (M.S.); (L.S.); (M.B.T.); (M.F.N.); (X.F.); (Y.Z.); (Z.D.); (L.L.); (Q.W.)
| | - Xiaoxu Feng
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China; (M.A.); (H.C.); (M.S.); (L.S.); (M.B.T.); (M.F.N.); (X.F.); (Y.Z.); (Z.D.); (L.L.); (Q.W.)
- Plant Genetics, Gambloux Agro Bio Tech, University of Liege, 5030 Gambloux, Belgium
| | - Youping Zhang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China; (M.A.); (H.C.); (M.S.); (L.S.); (M.B.T.); (M.F.N.); (X.F.); (Y.Z.); (Z.D.); (L.L.); (Q.W.)
| | - Zuo Dongyun
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China; (M.A.); (H.C.); (M.S.); (L.S.); (M.B.T.); (M.F.N.); (X.F.); (Y.Z.); (Z.D.); (L.L.); (Q.W.)
| | - Lv Limin
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China; (M.A.); (H.C.); (M.S.); (L.S.); (M.B.T.); (M.F.N.); (X.F.); (Y.Z.); (Z.D.); (L.L.); (Q.W.)
| | - Qiaolian Wang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China; (M.A.); (H.C.); (M.S.); (L.S.); (M.B.T.); (M.F.N.); (X.F.); (Y.Z.); (Z.D.); (L.L.); (Q.W.)
| | - Guoli Song
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China; (M.A.); (H.C.); (M.S.); (L.S.); (M.B.T.); (M.F.N.); (X.F.); (Y.Z.); (Z.D.); (L.L.); (Q.W.)
- Correspondence: ; Tel.: +86-3722562377
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18
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Guo X, Hansen BØ, Moeller SR, Harholt J, Mravec J, Willats W, Petersen BL, Ulvskov P. Extensin arabinoside chain length is modulated in elongating cotton fibre. Cell Surf 2019; 5:100033. [PMID: 32743148 PMCID: PMC7388976 DOI: 10.1016/j.tcsw.2019.100033] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 09/18/2019] [Accepted: 10/23/2019] [Indexed: 01/02/2023] Open
Abstract
Cotton fibre provides a unicellular model system for studying cell expansion and secondary cell wall deposition. Mature cotton fibres are mainly composed of cellulose while the walls of developing fibre cells contain a variety of polysaccharides and proteoglycans required for cell expansion. This includes hydroxyproline-rich glycoproteins (HRGPs) comprising the subgroup, extensins. In this study, extensin occurrence in cotton fibres was assessed using carbohydrate immunomicroarrays, mass spectrometry and monosaccharide profiling. Extensin amounts in three species appeared to correlate with fibre quality. Fibre cell expression profiling of the four cotton cultivars, combined with extensin arabinoside chain length measurements during fibre development, demonstrated that arabinoside side-chain length is modulated during development. Implications and mechanisms of extensin side-chain length dynamics during development are discussed.
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Key Words
- AGPs, arabinogalactan proteins
- CoMPP
- CoMPP, comprehensive microarray polymer profiling
- Cotton fibre
- Cotton fibre quality
- CrRLK1L, Catharanthus roseus receptor-like1-like kinase
- DPA, days post anthesis
- EXTs, extensins
- ExAD, arabinosyltransferase named after the mutant Extensin Arabinose Deficient
- Extensin arabinoside metabolism
- GH, glycoside hydrolase
- HPAT, hydroxyproline arabinosyltransferase
- HRGP
- HRGPs, hydroxyproline-rich glycoproteins
- Hyp-Aran, extensin side-chain of length n
- LRX, leucine-rich repeat extensins
- PCW, primary cell wall
- RRA, arabinosyltransferase named after the mutant Reduced Residual Arabinose
- SCW, secondary cell wall
- SGT, serine galactosyltransferase
- Transcriptomics
- XEG113, arabinosyltransferase named after the mutant Xyloglucan Endo-Glucanase resistant mutant 113
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Affiliation(s)
- Xiaoyuan Guo
- Department of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871 Frederiksberg C, Denmark
| | - Bjørn Øst Hansen
- Max Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, Potsdam 14476, Germany
| | - Svenning Rune Moeller
- Department of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871 Frederiksberg C, Denmark
| | - Jesper Harholt
- Department of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871 Frederiksberg C, Denmark
| | - Jozef Mravec
- Department of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871 Frederiksberg C, Denmark
| | - William Willats
- Department of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871 Frederiksberg C, Denmark
| | - Bent Larsen Petersen
- Department of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871 Frederiksberg C, Denmark
| | - Peter Ulvskov
- Department of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871 Frederiksberg C, Denmark
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19
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Liu Y, Kim HJ. Comparative Investigation of Secondary Cell Wall Development in Cotton Fiber Near Isogenic Lines Using Attenuated Total Reflection Fourier Transform Infrared Spectroscopy (ATR FT-IR). APPLIED SPECTROSCOPY 2019; 73:329-336. [PMID: 30457346 DOI: 10.1177/0003702818818171] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
In this investigation, we applied previously proposed simple algorithms to analyze the attenuated total reflection Fourier transform infrared (ATR FT-IR) spectra of cotton fibers during secondary cell wall (SCW) biosynthesis. The infrared crystallinity ( CIIR) and maturity ( MIR) indices were compared from developmental fibers representing two pairs of upland cotton near isogenic lines (NILs). One pair of NILs consisted of Texas Marker-1 (TM-1) and an immature fiber ( im) mutant that differ in fiber maturity. The other pair of NILs included MD52ne and MD90ne that show variations in fiber strength. The observations revealed significant difference in the MIR values between developmental TM-1 and im NILs grown at a field in crop year 2015, and also a significant difference in the CIIR values between these NILs grown at the same field in crop year 2011. These different patterns of CIIR and MIR values during fiber development for the two different crop years indicated the impact of genetics and crop year on the development of fiber maturity and crystallinity of the TM-1 and im fibers. Furthermore, the tendency of linking CIIR with MIR values suggested that the im fibers have more CIIR development than the TM-1 fibers when the fibers have the similar MIR values. In contrast, the NIL pair having variations in fiber strength showed insignificant differences in the patterns of CIIR and MIR as well as the relationship between CIIR and MIR values. The results suggested that CIIR and MIR indices from ATR FT-IR measurement could be used to facilitate the understanding of how fiber genetics and crop year affect fiber maturity and crystallinity during SCW biosynthesis.
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Affiliation(s)
- Yongliang Liu
- 1 USDA, ARS, Southern Regional Research Center (SRRC), Cotton Structure & Quality Research Unit, New Orleans, LA, USA
| | - Hee-Jin Kim
- 2 USDA, ARS, Southern Regional Research Center (SRRC), Cotton Fiber Bioscience Research Unit, New Orleans, LA, USA
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Co-Expression Network Analysis and Hub Gene Selection for High-Quality Fiber in Upland Cotton (Gossypium hirsutum) Using RNA Sequencing Analysis. Genes (Basel) 2019; 10:genes10020119. [PMID: 30736327 PMCID: PMC6410125 DOI: 10.3390/genes10020119] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Revised: 01/27/2019] [Accepted: 01/30/2019] [Indexed: 01/28/2023] Open
Abstract
Upland cotton (Gossypium hirsutum) is grown for its elite fiber. Understanding differential gene expression patterns during fiber development will help to identify genes associated with fiber quality. In this study, we used two recombinant inbred lines (RILs) differing in fiber quality derived from an intra-hirsutum population to explore expression profiling differences and identify genes associated with high-quality fiber or specific fiber-development stages using RNA sequencing. Overall, 72/27, 1137/1584, 437/393, 1019/184, and 2555/1479 differentially expressed genes were up-/down-regulated in an elite fiber line (L1) relative to a poor-quality fiber line (L2) at 10, 15, 20, 25, and 30 days post-anthesis, respectively. Three-hundred sixty-three differentially expressed genes (DEGs) between two lines were colocalized in fiber strength (FS) quantitative trait loci (QTL). Short Time-series Expression Miner (STEM) analysis discriminated seven expression profiles; gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) annotation were performed to identify difference in function between genes unique to L1 and L2. Co-expression network analysis detected five modules highly associated with specific fiber-development stages, especially for high-quality fiber tissues. The hub genes in each module were identified by weighted gene co-expression network analysis. Hub genes encoding actin 1, Rho GTPase-activating protein with PAK-box, TPX2 protein, bHLH transcription factor, and leucine-rich repeat receptor-like protein kinase were identified. Correlation networks revealed considerable interaction among the hub genes, transcription factors, and other genes.
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21
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Genome-wide comparative and evolutionary analysis of Calmodulin-binding Transcription Activator (CAMTA) family in Gossypium species. Sci Rep 2018; 8:5573. [PMID: 29615731 PMCID: PMC5882909 DOI: 10.1038/s41598-018-23846-w] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Accepted: 03/19/2018] [Indexed: 11/08/2022] Open
Abstract
The CAMTA gene family is crucial in managing both biotic and abiotic stresses in plants. Our comprehensive analysis of this gene family in cotton resulted in the identification of 6, 7 and 9 CAMTAs in three sequenced cotton species, i.e., Gossypium arboreum, Gossypium raimondii, and Gossypium hirsutum, respectively. All cotton CAMTAs were localized in the nucleus and possessed calmodulin-binding domain (CaMBD) as identified computationally. Phylogenetically four significant groups of cotton CAMTAs were identified out of which, Group II CAMTAs experienced higher evolutionary pressure, leading to a faster evolution in diploid cotton. The expansion of cotton CAMTAs in the genome was mainly due to segmental duplication. Purifying selection played a significant role in the evolution of cotton CAMTAs. Expression profiles of GhCAMTAs revealed that GhCAMTA2A.2 and GhCAMTA7A express profoundly in different stages of cotton fiber development. Positive correlation between expression of these two CAMTAs and fiber strength confirmed their functional relevance in fiber development. The promoter region of co-expressing genes network of GhCAMTA2A.2 and GhCAMTA7A showed a higher frequency of occurrence of CAMTA binding motifs. Our present study thus contributes to broad probing into the structure and probable function of CAMTA genes in Gossypium species.
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Ashraf J, Zuo D, Wang Q, Malik W, Zhang Y, Abid MA, Cheng H, Yang Q, Song G. Recent insights into cotton functional genomics: progress and future perspectives. PLANT BIOTECHNOLOGY JOURNAL 2018; 16:699-713. [PMID: 29087016 PMCID: PMC5814580 DOI: 10.1111/pbi.12856] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2017] [Revised: 10/03/2017] [Accepted: 10/18/2017] [Indexed: 05/11/2023]
Abstract
Functional genomics has transformed from futuristic concept to well-established scientific discipline during the last decade. Cotton functional genomics promise to enhance the understanding of fundamental plant biology to systematically exploit genetic resources for the improvement of cotton fibre quality and yield, as well as utilization of genetic information for germplasm improvement. However, determining the cotton gene functions is a much more challenging task, which has not progressed at a rapid pace. This article presents a comprehensive overview of the recent tools and resources available with the major advances in cotton functional genomics to develop elite cotton genotypes. This effort ultimately helps to filter a subset of genes that can be used to assemble a final list of candidate genes that could be employed in future novel cotton breeding programme. We argue that next stage of cotton functional genomics requires the draft genomes refinement, re-sequencing broad diversity panels with the development of high-throughput functional genomics tools and integrating multidisciplinary approaches in upcoming cotton improvement programmes.
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Affiliation(s)
- Javaria Ashraf
- State Key Laboratory of Cotton BiologyInstitute of Cotton ResearchChinese Academy of Agricultural SciencesAnyangHenanChina
| | - Dongyun Zuo
- State Key Laboratory of Cotton BiologyInstitute of Cotton ResearchChinese Academy of Agricultural SciencesAnyangHenanChina
| | - Qiaolian Wang
- State Key Laboratory of Cotton BiologyInstitute of Cotton ResearchChinese Academy of Agricultural SciencesAnyangHenanChina
| | - Waqas Malik
- Genomics LabDepartment of Plant Breeding and GeneticsFaculty of Agricultural Sciences and TechnologyBahauddin Zakariya UniversityMultanPunjabPakistan
| | - Youping Zhang
- State Key Laboratory of Cotton BiologyInstitute of Cotton ResearchChinese Academy of Agricultural SciencesAnyangHenanChina
| | - Muhammad Ali Abid
- Genomics LabDepartment of Plant Breeding and GeneticsFaculty of Agricultural Sciences and TechnologyBahauddin Zakariya UniversityMultanPunjabPakistan
| | - Hailiang Cheng
- State Key Laboratory of Cotton BiologyInstitute of Cotton ResearchChinese Academy of Agricultural SciencesAnyangHenanChina
| | - Qiuhong Yang
- State Key Laboratory of Cotton BiologyInstitute of Cotton ResearchChinese Academy of Agricultural SciencesAnyangHenanChina
| | - Guoli Song
- State Key Laboratory of Cotton BiologyInstitute of Cotton ResearchChinese Academy of Agricultural SciencesAnyangHenanChina
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23
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Transcriptome Analysis Suggests That Chromosome Introgression Fragments from Sea Island Cotton ( Gossypium barbadense) Increase Fiber Strength in Upland Cotton ( Gossypium hirsutum). G3-GENES GENOMES GENETICS 2017; 7:3469-3479. [PMID: 28874383 PMCID: PMC5633395 DOI: 10.1534/g3.117.300108] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
As high-strength cotton fibers are critical components of high quality cotton, developing cotton cultivars with high-strength fibers as well as high yield is a top priority for cotton development. Recently, chromosome segment substitution lines (CSSLs) have been developed from high-yield Upland cotton (Gossypium hirsutum) crossed with high-quality Sea Island cotton (G. barbadense). Here, we constructed a CSSL population by crossing CCRI45, a high-yield Upland cotton cultivar, with Hai1, a Sea Island cotton cultivar with superior fiber quality. We then selected two CSSLs with significantly higher fiber strength than CCRI45 (MBI7747 and MBI7561), and one CSSL with lower fiber strength than CCRI45 (MBI7285), for further analysis. We sequenced all four transcriptomes at four different time points postanthesis, and clustered the 44,678 identified genes by function. We identified 2200 common differentially-expressed genes (DEGs): those that were found in both high quality CSSLs (MBI7747 and MBI7561), but not in the low quality CSSL (MBI7285). Many of these genes were associated with various metabolic pathways that affect fiber strength. Upregulated DEGs were associated with polysaccharide metabolic regulation, single-organism localization, cell wall organization, and biogenesis, while the downregulated DEGs were associated with microtubule regulation, the cellular response to stress, and the cell cycle. Further analyses indicated that three genes, XLOC_036333 [mannosyl-oligosaccharide-α-mannosidase (MNS1)], XLOC_029945 (FLA8), and XLOC_075372 (snakin-1), were potentially important for the regulation of cotton fiber strength. Our results suggest that these genes may be good candidates for future investigation of the molecular mechanisms of fiber strength formation and for the improvement of cotton fiber quality through molecular breeding.
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24
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Wu J, Zhang M, Zhang B, Zhang X, Guo L, Qi T, Wang H, Zhang J, Xing C. Genome-wide comparative transcriptome analysis of CMS-D2 and its maintainer and restorer lines in upland cotton. BMC Genomics 2017; 18:454. [PMID: 28595569 PMCID: PMC5465541 DOI: 10.1186/s12864-017-3841-0] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2017] [Accepted: 06/02/2017] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Cytoplasmic male sterility (CMS) conferred by the cytoplasm from Gossypium harknessii (D2) is an important system for hybrid seed production in Upland cotton (G. hirsutum). The male sterility of CMS-D2 (i.e., A line) can be restored to fertility by a restorer (i.e., R line) carrying the restorer gene Rf1 transferred from the D2 nuclear genome. However, the molecular mechanisms of CMS-D2 and its restoration are poorly understood. RESULTS In this study, a genome-wide comparative transcriptome analysis was performed to identify differentially expressed genes (DEGs) in flower buds among the isogenic fertile R line and sterile A line derived from a backcross population (BC8F1) and the recurrent parent, i.e., the maintainer (B line). A total of 1464 DEGs were identified among the three isogenic lines, and the Rf1-carrying Chr_D05 and its homeologous Chr_A05 had more DEGs than other chromosomes. The results of GO and KEGG enrichment analysis showed differences in circadian rhythm between the fertile and sterile lines. Eleven DEGs were selected for validation using qRT-PCR, confirming the accuracy of the RNA-seq results. CONCLUSIONS Through genome-wide comparative transcriptome analysis, the differential expression profiles of CMS-D2 and its maintainer and restorer lines in Upland cotton were identified. Our results provide an important foundation for further studies into the molecular mechanisms of the interactions between the restorer gene Rf1 and the CMS-D2 cytoplasm.
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Affiliation(s)
- Jianyong Wu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Key Laboratory for Cotton Genetic Improvement, Ministry of Agriculture, 38 Huanghe Dadao, Anyang, 455000 China
| | - Meng Zhang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Key Laboratory for Cotton Genetic Improvement, Ministry of Agriculture, 38 Huanghe Dadao, Anyang, 455000 China
| | - Bingbing Zhang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Key Laboratory for Cotton Genetic Improvement, Ministry of Agriculture, 38 Huanghe Dadao, Anyang, 455000 China
| | - Xuexian Zhang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Key Laboratory for Cotton Genetic Improvement, Ministry of Agriculture, 38 Huanghe Dadao, Anyang, 455000 China
| | - Liping Guo
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Key Laboratory for Cotton Genetic Improvement, Ministry of Agriculture, 38 Huanghe Dadao, Anyang, 455000 China
| | - Tingxiang Qi
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Key Laboratory for Cotton Genetic Improvement, Ministry of Agriculture, 38 Huanghe Dadao, Anyang, 455000 China
| | - Hailin Wang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Key Laboratory for Cotton Genetic Improvement, Ministry of Agriculture, 38 Huanghe Dadao, Anyang, 455000 China
| | - Jinfa Zhang
- Department of Plant and Environmental Sciences, New Mexico State University, Las Cruces, NM 88003 USA
| | - Chaozhu Xing
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Key Laboratory for Cotton Genetic Improvement, Ministry of Agriculture, 38 Huanghe Dadao, Anyang, 455000 China
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Identification of candidate genes for fiber length quantitative trait loci through RNA-Seq and linkage and physical mapping in cotton. BMC Genomics 2017; 18:427. [PMID: 28569138 PMCID: PMC5452627 DOI: 10.1186/s12864-017-3812-5] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2016] [Accepted: 05/23/2017] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Cotton (Gossypium spp.) fibers are single-celled elongated trichomes, the molecular aspects of genetic variation in fiber length (FL) among genotypes are currently unknown. In this study, two backcross inbred lines (BILs), i.e., NMGA-062 ("Long") and NMGA-105 ("Short") with 32.1 vs. 27.2 mm in FL, respectively, were chosen to perform RNA-Seq on developing fibers at 10 days post anthesis (DPA). The two BILs differed in 4 quantitative trait loci (QTL) for FL and were developed from backcrosses between G. hirsutum as the recurrent parent and G. barbadense. RESULTS In total, 51.7 and 54.3 million reads were obtained and assembled to 49,508 and 49,448 transcripts in the two genotypes, respectively. Of 1551 differentially expressed genes (DEGs) between the two BILs, 678 were up-regulated and 873 down-regulated in "Long"; and 703 SNPs were identified in 339 DEGs. Further physical mapping showed that 8 DEGs were co-localized with the 4 FL QTL identified in the BIL population containing the two BILs. Four SNP markers in 3 DEGs that showed significant correlations with FL were developed. Among the three candidate genes encoding for proline-rich protein, D-cysteine desulfhydrase, and thaumatin-like protein, a SNP of thaumatin-like protein gene showed consistent correlations with FL across all testing environments. CONCLUSIONS This study represents one of the first investigations of positional candidate gene approach of QTL in cotton in integrating transcriptome and SNP identification based on RNA-Seq with linkage and physical mapping of QTL and genes, which will facilitate eventual cloning and identification of genes responsible for FL QTL. The candidate genes may serve as the foundation for further in-depth studies of the molecular mechanism of natural variation in fiber elongation.
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Balsalobre TWA, da Silva Pereira G, Margarido GRA, Gazaffi R, Barreto FZ, Anoni CO, Cardoso-Silva CB, Costa EA, Mancini MC, Hoffmann HP, de Souza AP, Garcia AAF, Carneiro MS. GBS-based single dosage markers for linkage and QTL mapping allow gene mining for yield-related traits in sugarcane. BMC Genomics 2017; 18:72. [PMID: 28077090 PMCID: PMC5225503 DOI: 10.1186/s12864-016-3383-x] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Accepted: 12/07/2016] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Sugarcane (Saccharum spp.) is predominantly an autopolyploid plant with a variable ploidy level, frequent aneuploidy and a large genome that hampers investigation of its organization. Genetic architecture studies are important for identifying genomic regions associated with traits of interest. However, due to the genetic complexity of sugarcane, the practical applications of genomic tools have been notably delayed in this crop, in contrast to other crops that have already advanced to marker-assisted selection (MAS) and genomic selection. High-throughput next-generation sequencing (NGS) technologies have opened new opportunities for discovering molecular markers, especially single nucleotide polymorphisms (SNPs) and insertion-deletion (indels), at the genome-wide level. The objectives of this study were to (i) establish a pipeline for identifying variants from genotyping-by-sequencing (GBS) data in sugarcane, (ii) construct an integrated genetic map with GBS-based markers plus target region amplification polymorphisms and microsatellites, (iii) detect QTLs related to yield component traits, and (iv) perform annotation of the sequences that originated the associated markers with mapped QTLs to search putative candidate genes. RESULTS We used four pseudo-references to align the GBS reads. Depending on the reference, from 3,433 to 15,906 high-quality markers were discovered, and half of them segregated as single-dose markers (SDMs) on average. In addition to 7,049 non-redundant SDMs from GBS, 629 gel-based markers were used in a subsequent linkage analysis. Of 7,678 SDMs, 993 were mapped. These markers were distributed throughout 223 linkage groups, which were clustered in 18 homo(eo)logous groups (HGs), with a cumulative map length of 3,682.04 cM and an average marker density of 3.70 cM. We performed QTL mapping of four traits and found seven QTLs. Our results suggest the presence of a stable QTL across locations. Furthermore, QTLs to soluble solid content (BRIX) and fiber content (FIB) traits had markers linked to putative candidate genes. CONCLUSIONS This study is the first to report the use of GBS for large-scale variant discovery and genotyping of a mapping population in sugarcane, providing several insights regarding the use of NGS data in a polyploid, non-model species. The use of GBS generated a large number of markers and still enabled ploidy and allelic dosage estimation. Moreover, we were able to identify seven QTLs, two of which had great potential for validation and future use for molecular breeding in sugarcane.
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Affiliation(s)
- Thiago Willian Almeida Balsalobre
- Departamento de Biotecnologia e Produção Vegetal e Animal, Centro de Ciências Agrárias, Universidade Federal de São Carlos, Rodovia Anhanguera, Km 174, Araras, CEP 13600-970 São Paulo Brazil
- Departamento de Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas, Avenida Monteiro Lobato 255, Campinas, CEP 13083-862 São Paulo Brazil
- Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas, Avenida Candido Rondon 400, Campinas, CEP 13083-875 São Paulo Brazil
| | - Guilherme da Silva Pereira
- Departamento de Genética, Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo, Avenida Pádua Dias 11, Piracicaba, CEP 13418-900 São Paulo Brazil
| | - Gabriel Rodrigues Alves Margarido
- Departamento de Genética, Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo, Avenida Pádua Dias 11, Piracicaba, CEP 13418-900 São Paulo Brazil
| | - Rodrigo Gazaffi
- Departamento de Biotecnologia e Produção Vegetal e Animal, Centro de Ciências Agrárias, Universidade Federal de São Carlos, Rodovia Anhanguera, Km 174, Araras, CEP 13600-970 São Paulo Brazil
| | - Fernanda Zatti Barreto
- Departamento de Biotecnologia e Produção Vegetal e Animal, Centro de Ciências Agrárias, Universidade Federal de São Carlos, Rodovia Anhanguera, Km 174, Araras, CEP 13600-970 São Paulo Brazil
| | - Carina Oliveira Anoni
- Departamento de Genética, Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo, Avenida Pádua Dias 11, Piracicaba, CEP 13418-900 São Paulo Brazil
| | - Cláudio Benício Cardoso-Silva
- Departamento de Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas, Avenida Monteiro Lobato 255, Campinas, CEP 13083-862 São Paulo Brazil
- Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas, Avenida Candido Rondon 400, Campinas, CEP 13083-875 São Paulo Brazil
| | - Estela Araújo Costa
- Departamento de Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas, Avenida Monteiro Lobato 255, Campinas, CEP 13083-862 São Paulo Brazil
- Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas, Avenida Candido Rondon 400, Campinas, CEP 13083-875 São Paulo Brazil
| | - Melina Cristina Mancini
- Departamento de Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas, Avenida Monteiro Lobato 255, Campinas, CEP 13083-862 São Paulo Brazil
- Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas, Avenida Candido Rondon 400, Campinas, CEP 13083-875 São Paulo Brazil
| | - Hermann Paulo Hoffmann
- Departamento de Biotecnologia e Produção Vegetal e Animal, Centro de Ciências Agrárias, Universidade Federal de São Carlos, Rodovia Anhanguera, Km 174, Araras, CEP 13600-970 São Paulo Brazil
| | - Anete Pereira de Souza
- Departamento de Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas, Avenida Monteiro Lobato 255, Campinas, CEP 13083-862 São Paulo Brazil
- Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas, Avenida Candido Rondon 400, Campinas, CEP 13083-875 São Paulo Brazil
| | - Antonio Augusto Franco Garcia
- Departamento de Genética, Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo, Avenida Pádua Dias 11, Piracicaba, CEP 13418-900 São Paulo Brazil
| | - Monalisa Sampaio Carneiro
- Departamento de Biotecnologia e Produção Vegetal e Animal, Centro de Ciências Agrárias, Universidade Federal de São Carlos, Rodovia Anhanguera, Km 174, Araras, CEP 13600-970 São Paulo Brazil
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Tang K, Liu JY. Molecular characterization of GhPLDα1 and its relationship with secondary cell wall thickening in cotton fibers. Acta Biochim Biophys Sin (Shanghai) 2017; 49:33-43. [PMID: 27864277 DOI: 10.1093/abbs/gmw113] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2016] [Revised: 10/18/2016] [Indexed: 02/07/2023] Open
Abstract
Phospholipase D (PLD) hydrolyzes phospholipids to generate a free polar head group (e.g., choline) and a second messenger phosphatidic acid and plays diverse roles in plant growth and development, including seed germination, leaf senescence, root hair growth, and hypocotyl elongation. However, the function of PLD in cotton remains largely unexplored. Here, the comprehensive molecular characterization of GhPLDα1 was explored with its role in upland cotton (Gossypium hirsutum) fiber development. The GhPLDα1 gene was cloned successfully, and a sequence alignment showed that GhPLDα1 contains one C2 domain and two HKD (HxKxxxxD) domains. Quantitative reverse transcriptase-polymerase chain reaction measured the expression of GhPLDα1 in various cotton tissues with the highest level in fibers at 20 days post anthesis (d.p.a.). Fluorescent microscopy and immunoblotting in tobacco epidermis showed the GhPLDα1 distribution in both cell membranes and the cytoplasm. An activity assay indicated changes in PLDα enzyme activity in developing fiber cells with a peak level at 20 d.p.a., coinciding with the onset of cellulose accumulation and the increased H2O2 content during fiber development. Furthermore, the inhibition of PLDα activity obviously decreased the cellulose and H2O2 contents of in vitro-cultured cotton fibers. These results provide important evidence explaining the relationship of GhPLDα1 with secondary cell wall thickening in cotton fibers in that GhPLDα1 may correlate with the increased H2O2 content at the onset of secondary cell wall thickening, ultimately promoting cellulose biosynthesis.
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Affiliation(s)
- Kai Tang
- Laboratory of Plant Molecular Biology, Center for Plant Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Jin-Yuan Liu
- Laboratory of Plant Molecular Biology, Center for Plant Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China
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Islam MS, Thyssen GN, Jenkins JN, Zeng L, Delhom CD, McCarty JC, Deng DD, Hinchliffe DJ, Jones DC, Fang DD. A MAGIC population-based genome-wide association study reveals functional association of GhRBB1_A07 gene with superior fiber quality in cotton. BMC Genomics 2016; 17:903. [PMID: 27829353 PMCID: PMC5103610 DOI: 10.1186/s12864-016-3249-2] [Citation(s) in RCA: 75] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2016] [Accepted: 11/02/2016] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Cotton supplies a great majority of natural fiber for the global textile industry. The negative correlation between yield and fiber quality has hindered breeders' ability to improve these traits simultaneously. A multi-parent advanced generation inter-cross (MAGIC) population developed through random-mating of multiple diverse parents has the ability to break this negative correlation. Genotyping-by-sequencing (GBS) is a method that can rapidly identify and genotype a large number of single nucleotide polymorphisms (SNP). Genotyping a MAGIC population using GBS technologies will enable us to identify marker-trait associations with high resolution. RESULTS An Upland cotton MAGIC population was developed through random-mating of 11 diverse cultivars for five generations. In this study, fiber quality data obtained from four environments and 6071 SNP markers generated via GBS and 223 microsatellite markers of 547 recombinant inbred lines (RILs) of the MAGIC population were used to conduct a genome wide association study (GWAS). By employing a mixed linear model, GWAS enabled us to identify markers significantly associated with fiber quantitative trait loci (QTL). We identified and validated one QTL cluster associated with four fiber quality traits [short fiber content (SFC), strength (STR), length (UHM) and uniformity (UI)] on chromosome A07. We further identified candidate genes related to fiber quality attributes in this region. Gene expression and amino acid substitution analysis suggested that a regeneration of bulb biogenesis 1 (GhRBB1_A07) gene is a candidate for superior fiber quality in Upland cotton. The DNA marker CFBid0004 designed from an 18 bp deletion in the coding sequence of GhRBB1_A07 in Acala Ultima is associated with the improved fiber quality in the MAGIC RILs and 105 additional commercial Upland cotton cultivars. CONCLUSION Using GBS and a MAGIC population enabled more precise fiber QTL mapping in Upland cotton. The fiber QTL and associated markers identified in this study can be used to improve fiber quality through marker assisted selection or genomic selection in a cotton breeding program. Target manipulation of the GhRBB1_A07 gene through biotechnology or gene editing may potentially improve cotton fiber quality.
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Affiliation(s)
- Md Sariful Islam
- Cotton Fiber Bioscience Research Unit, USDA-ARS, Southern Regional Research Center, New Orleans, LA 70124 USA
| | - Gregory N. Thyssen
- Cotton Chemistry and Utilization Research Unit, USDA-ARS, Southern Regional Research Center, New Orleans, LA 70124 USA
| | - Johnie N. Jenkins
- Genetics & Sustainable Agriculture Research Unit, USDA-ARS, Mississippi State, MS 39762 USA
| | - Linghe Zeng
- Crop Genetics Research Unit, USDA-ARS, Stoneville, MS 38772 USA
| | - Christopher D. Delhom
- Cotton Structure and Quality Research Unit, USDA-ARS, Southern Regional Research Center, New Orleans, LA 70124 USA
| | - Jack C. McCarty
- Genetics & Sustainable Agriculture Research Unit, USDA-ARS, Mississippi State, MS 39762 USA
| | - Dewayne D. Deng
- Genetics & Sustainable Agriculture Research Unit, USDA-ARS, Mississippi State, MS 39762 USA
| | - Doug J. Hinchliffe
- Cotton Chemistry and Utilization Research Unit, USDA-ARS, Southern Regional Research Center, New Orleans, LA 70124 USA
| | | | - David D. Fang
- Cotton Fiber Bioscience Research Unit, USDA-ARS, Southern Regional Research Center, New Orleans, LA 70124 USA
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Liu Y, Zhang X, Zhu S, Zhang H, Li Y, Zhang T, Sun J. Overexpression of GhSARP1 encoding a E3 ligase from cotton reduce the tolerance to salt in transgenic Arabidopsis. Biochem Biophys Res Commun 2016; 478:1491-6. [PMID: 27402266 DOI: 10.1016/j.bbrc.2016.07.033] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2016] [Accepted: 07/06/2016] [Indexed: 12/17/2022]
Abstract
Ubiquitination plays a very important role in the response to abiotic stresses of plant. To identify key regulators of salt stress, a gene GhSARP1(Salt-Associated Ring finger Protein)encoding C3H2C3-type E3 ligase, was cloned from cotton. Transcription level of GhSARP1 was high in leaf, flower and fiber of 24,27 and 27DPA (Days Post-Anthesis), but low in root and stem. Except PEG6000 treatment, the expression of GhSARP1 was down-regulated by NaCl, cold and ABA after being treated for 1 h. GhSARP1-GFP fusion protein located on the plasma membrane, which was dependent on trans-membrane motif. In vitro ubiquitination assay showed that GhSARP1 had E3 ligase activity. Heterogeneous overexpression of GhSARP1reduced salt tolerance of transgenic Arabidopsis in germination and post-germination stage. Our results suggested that the GhSARP1 might negatively regulate the response to salt stress mediated by the ubiquitination in cotton.
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Affiliation(s)
- Yongchang Liu
- College of Agriculture, The Key Laboratory of Oasis Eco-Agriculture, Shihezi University, Shihezi 832000, Xinjiang Province, China
| | - Xinyu Zhang
- College of Agriculture, The Key Laboratory of Oasis Eco-Agriculture, Shihezi University, Shihezi 832000, Xinjiang Province, China
| | - Shouhong Zhu
- College of Agriculture, The Key Laboratory of Oasis Eco-Agriculture, Shihezi University, Shihezi 832000, Xinjiang Province, China
| | - Hao Zhang
- College of Agriculture, The Key Laboratory of Oasis Eco-Agriculture, Shihezi University, Shihezi 832000, Xinjiang Province, China
| | - Yanjun Li
- College of Agriculture, The Key Laboratory of Oasis Eco-Agriculture, Shihezi University, Shihezi 832000, Xinjiang Province, China
| | - Tao Zhang
- College of Agriculture, The Key Laboratory of Oasis Eco-Agriculture, Shihezi University, Shihezi 832000, Xinjiang Province, China
| | - Jie Sun
- College of Agriculture, The Key Laboratory of Oasis Eco-Agriculture, Shihezi University, Shihezi 832000, Xinjiang Province, China.
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Islam MS, Zeng L, Thyssen GN, Delhom CD, Kim HJ, Li P, Fang DD. Mapping by sequencing in cotton (Gossypium hirsutum) line MD52ne identified candidate genes for fiber strength and its related quality attributes. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2016; 129:1071-86. [PMID: 26883043 DOI: 10.1007/s00122-016-2684-4] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2015] [Accepted: 01/23/2016] [Indexed: 05/22/2023]
Abstract
Three QTL regions controlling three fiber quality traits were validated and further fine-mapped with 27 new single nucleotide polymorphism (SNP) markers. Transcriptome analysis suggests that receptor-like kinases found within the validated QTLs are potential candidate genes responsible for superior fiber strength in cotton line MD52ne. Fiber strength, length, maturity and fineness determine the market value of cotton fibers and the quality of spun yarn. Cotton fiber strength has been recognized as a critical quality attribute in the modern textile industry. Fine mapping along with quantitative trait loci (QTL) validation and candidate gene prediction can uncover the genetic and molecular basis of fiber quality traits. Four previously-identified QTLs (qFBS-c3, qSFI-c14, qUHML-c14 and qUHML-c24) related to fiber bundle strength, short fiber index and fiber length, respectively, were validated using an F3 population that originated from a cross of MD90ne × MD52ne. A group of 27 new SNP markers generated from mapping-by-sequencing (MBS) were placed in QTL regions to improve and validate earlier maps. Our refined QTL regions spanned 4.4, 1.8 and 3.7 Mb of physical distance in the Gossypium raimondii reference genome. We performed RNA sequencing (RNA-seq) of 15 and 20 days post-anthesis fiber cells from MD52ne and MD90ne and aligned reads to the G. raimondii genome. The QTL regions contained 21 significantly differentially expressed genes (DEGs) between the two near-isogenic parental lines. SNPs that result in non-synonymous substitutions to amino acid sequences of annotated genes were identified within these DEGs, and mapped. Taken together, transcriptome and amino acid mutation analysis indicate that receptor-like kinase pathway genes are likely candidates for superior fiber strength and length in MD52ne. MBS along with RNA-seq demonstrated a powerful strategy to elucidate candidate genes for the QTLs that control complex traits in a complex genome like tetraploid upland cotton.
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Affiliation(s)
- Md S Islam
- Cotton Fiber Bioscience Research Unit, USDA-ARS, Southern Regional Research Center, New Orleans, LA, 70124, USA
| | - Linghe Zeng
- Crop Genetics Research Unit, USDA-ARS, 141 Experiment Station Road, Stoneville, MS, 38772, USA
| | - Gregory N Thyssen
- Cotton Chemistry and Utilization Research Unit, USDA-ARS, Southern Regional Research Center, New Orleans, LA, 70124, USA
| | - Christopher D Delhom
- Cotton Structure and Quality Research Unit, USDA-ARS, Southern Regional Research Center, New Orleans, LA, 70124, USA
| | - Hee Jin Kim
- Cotton Fiber Bioscience Research Unit, USDA-ARS, Southern Regional Research Center, New Orleans, LA, 70124, USA
| | - Ping Li
- Cotton Fiber Bioscience Research Unit, USDA-ARS, Southern Regional Research Center, New Orleans, LA, 70124, USA
| | - David D Fang
- Cotton Fiber Bioscience Research Unit, USDA-ARS, Southern Regional Research Center, New Orleans, LA, 70124, USA.
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