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Upton RN, Correr FH, Lile J, Reynolds GL, Falaschi K, Cook JP, Lachowiec J. Design, execution, and interpretation of plant RNA-seq analyses. FRONTIERS IN PLANT SCIENCE 2023; 14:1135455. [PMID: 37457354 PMCID: PMC10348879 DOI: 10.3389/fpls.2023.1135455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Accepted: 06/12/2023] [Indexed: 07/18/2023]
Abstract
Genomics has transformed our understanding of the genetic architecture of traits and the genetic variation present in plants. Here, we present a review of how RNA-seq can be performed to tackle research challenges addressed by plant sciences. We discuss the importance of experimental design in RNA-seq, including considerations for sampling and replication, to avoid pitfalls and wasted resources. Approaches for processing RNA-seq data include quality control and counting features, and we describe common approaches and variations. Though differential gene expression analysis is the most common analysis of RNA-seq data, we review multiple methods for assessing gene expression, including detecting allele-specific gene expression and building co-expression networks. With the production of more RNA-seq data, strategies for integrating these data into genetic mapping pipelines is of increased interest. Finally, special considerations for RNA-seq analysis and interpretation in plants are needed, due to the high genome complexity common across plants. By incorporating informed decisions throughout an RNA-seq experiment, we can increase the knowledge gained.
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Correr FH, Furtado A, Franco Garcia AA, Henry RJ, Rodrigues Alves Margarido G. Allele expression biases in mixed-ploid sugarcane accessions. Sci Rep 2022; 12:8778. [PMID: 35610293 PMCID: PMC9130122 DOI: 10.1038/s41598-022-12725-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 04/27/2022] [Indexed: 11/16/2022] Open
Abstract
Allele-specific expression (ASE) represents differences in the magnitude of expression between alleles of the same gene. This is not straightforward for polyploids, especially autopolyploids, as knowledge about the dose of each allele is required for accurate estimation of ASE. This is the case for the genomically complex Saccharum species, characterized by high levels of ploidy and aneuploidy. We used a Beta-Binomial model to test for allelic imbalance in Saccharum, with adaptations for mixed-ploid organisms. The hierarchical Beta-Binomial model was used to test if allele expression followed the expectation based on genomic allele dosage. The highest frequencies of ASE occurred in sugarcane hybrids, suggesting a possible influence of interspecific hybridization in these genotypes. For all accessions, genes showing ASE (ASEGs) were less frequent than those with balanced allelic expression. These genes were related to a broad range of processes, mostly associated with general metabolism, organelles, responses to stress and responses to stimuli. In addition, the frequency of ASEGs in high-level functional terms was similar among the genotypes, with a few genes associated with more specific biological processes. We hypothesize that ASE in Saccharum is largely a genotype-specific phenomenon, as a large number of ASEGs were exclusive to individual accessions.
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Affiliation(s)
- Fernando Henrique Correr
- Department of Genetics, University of São Paulo, "Luiz de Queiroz" College of Agriculture, Av Pádua Dias, 11, Piracicaba, 13418-900, Brazil.,Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, 4072, Australia
| | - Agnelo Furtado
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, 4072, Australia
| | - Antonio Augusto Franco Garcia
- Department of Genetics, University of São Paulo, "Luiz de Queiroz" College of Agriculture, Av Pádua Dias, 11, Piracicaba, 13418-900, Brazil
| | - Robert James Henry
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, 4072, Australia
| | - Gabriel Rodrigues Alves Margarido
- Department of Genetics, University of São Paulo, "Luiz de Queiroz" College of Agriculture, Av Pádua Dias, 11, Piracicaba, 13418-900, Brazil. .,Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, 4072, Australia.
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Hosaka GK, Correr FH, da Silva CC, Sforça DA, Barreto FZ, Balsalobre TWA, Pasha A, de Souza AP, Provart NJ, Carneiro MS, Margarido GRA. Temporal Gene Expression in Apical Culms Shows Early Changes in Cell Wall Biosynthesis Genes in Sugarcane. FRONTIERS IN PLANT SCIENCE 2021; 12:736797. [PMID: 34966397 PMCID: PMC8710541 DOI: 10.3389/fpls.2021.736797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 11/22/2021] [Indexed: 06/14/2023]
Abstract
Multiple genes in sugarcane control sucrose accumulation and the biosynthesis of cell wall components; however, it is unclear how these genes are expressed in its apical culms. To better understand this process, we sequenced mRNA from +1 stem internodes collected from four genotypes with different concentrations of soluble solids. Culms were collected at four different time points, ranging from six to 12-month-old plants. Here we show differentially expressed genes related to sucrose metabolism and cell wall biosynthesis, including genes encoding invertases, sucrose synthase and cellulose synthase. Our results showed increased expression of invertases in IN84-58, the genotype with lower sugar and higher fiber content, as well as delayed expression of secondary cell wall-related cellulose synthase for the other genotypes. Interestingly, genes involved with hormone metabolism were differentially expressed across time points in the three genotypes with higher soluble solids content. A similar result was observed for genes controlling maturation and transition to reproductive stages, possibly a result of selection against flowering in sugarcane breeding programs. These results indicate that carbon partitioning in apical culms of contrasting genotypes is mainly associated with differential cell wall biosynthesis, and may include early modifications for subsequent sucrose accumulation. Co-expression network analysis identified transcription factors related to growth and development, showing a probable time shift for carbon partitioning occurred in 10-month-old plants.
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Affiliation(s)
- Guilherme Kenichi Hosaka
- Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba, Brazil
| | - Fernando Henrique Correr
- Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba, Brazil
| | - Carla Cristina da Silva
- Center for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas (UNICAMP), Campinas, Brazil
| | - Danilo Augusto Sforça
- Center for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas (UNICAMP), Campinas, Brazil
| | - Fernanda Zatti Barreto
- Plant Biotechnology Laboratory, Centre for Agricultural Sciences, Federal University of São Carlos (CCA-UFSCar), Araras, Brazil
| | | | - Asher Pasha
- Department of Cell and Systems Biology, Centre for the Analysis of the Genome Evolution and Function, University of Toronto, Toronto, ON, Canada
| | - Anete Pereira de Souza
- Center for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas (UNICAMP), Campinas, Brazil
| | - Nicholas James Provart
- Department of Cell and Systems Biology, Centre for the Analysis of the Genome Evolution and Function, University of Toronto, Toronto, ON, Canada
| | - Monalisa Sampaio Carneiro
- Plant Biotechnology Laboratory, Centre for Agricultural Sciences, Federal University of São Carlos (CCA-UFSCar), Araras, Brazil
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Li J, Wang Y, Wei H, Kang X. Comparative proteomic analysis provides insight into the molecular mechanism of vegetative growth advantage in allotriploid Populus. Genomics 2021; 113:1180-1192. [PMID: 33677055 DOI: 10.1016/j.ygeno.2021.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 01/04/2021] [Accepted: 03/02/2021] [Indexed: 10/22/2022]
Abstract
Though allotriploid poplar shows a salient vegetative growth advantage that impacts biomass and lumber yield, the proteomic data of Populus allotriploids have not been scrutinized for identifying the underlying molecular mechanisms. We conducted a large-scale label-free proteomics profiling of the 5th, 10th, and 25th leaves of allotriploids and diploids, and identified 4587 protein groups. Among 932 differentially expressed proteins (DEPs), 22 are transcription factors (TFs) that could regulate vegetative growth advantage in allotriploids. The DEPs involved in light reaction, Calvin cycle, and photorespiration, protein synthesis, sucrose synthesis, starch synthesis, and starch decomposition displayed elevated expression in Populus allotriploids. However, the DEPs functioning in sucrose decomposition, tricarboxylic acid (TCA) cycle, and protein degradation exhibited significantly downregulated expression. The alternations of these DEPs augmented efficiency of photosynthesis, carbon fixation, sucrose and starch accumulation, and decreased capacity of carbohydrate consumption, leading to larger volume of biomass and vigorous growth in Populus allotriploids.
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Affiliation(s)
- Jiang Li
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing 100083, PR China
| | - Yi Wang
- Zhongkai University of Agriculture and Engineering, Guangzhou 510225, PR China
| | - Hairong Wei
- College of Forest Resources and Environmental Science, Michigan Technological University, Houghton 49931, USA
| | - Xiangyang Kang
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing 100083, PR China; National Engineering Laboratory for Tree Breeding, Beijing Forestry University, Beijing 100083, PR China; College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, PR China.
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Calderan-Rodrigues MJ, de Barros Dantas LL, Cheavegatti Gianotto A, Caldana C. Applying Molecular Phenotyping Tools to Explore Sugarcane Carbon Potential. FRONTIERS IN PLANT SCIENCE 2021; 12:637166. [PMID: 33679852 PMCID: PMC7935522 DOI: 10.3389/fpls.2021.637166] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 01/27/2021] [Indexed: 05/21/2023]
Abstract
Sugarcane (Saccharum spp.), a C4 grass, has a peculiar feature: it accumulates, gradient-wise, large amounts of carbon (C) as sucrose in its culms through a complex pathway. Apart from being a sustainable crop concerning C efficiency and bioenergetic yield per hectare, sugarcane is used as feedstock for producing ethanol, sugar, high-value compounds, and products (e.g., polymers and succinate), and bioelectricity, earning the title of the world's leading biomass crop. Commercial cultivars, hybrids bearing high levels of polyploidy, and aneuploidy, are selected from a large number of crosses among suitable parental genotypes followed by the cloning of superior individuals among the progeny. Traditionally, these classical breeding strategies have been favoring the selection of cultivars with high sucrose content and resistance to environmental stresses. A current paradigm change in sugarcane breeding programs aims to alter the balance of C partitioning as a means to provide more plasticity in the sustainable use of this biomass for metabolic engineering and green chemistry. The recently available sugarcane genetic assemblies powered by data science provide exciting perspectives to increase biomass, as the current sugarcane yield is roughly 20% of its predicted potential. Nowadays, several molecular phenotyping tools can be applied to meet the predicted sugarcane C potential, mainly targeting two competing pathways: sucrose production/storage and biomass accumulation. Here we discuss how molecular phenotyping can be a powerful tool to assist breeding programs and which strategies could be adopted depending on the desired final products. We also tackle the advances in genetic markers and mapping as well as how functional genomics and genetic transformation might be able to improve yield and saccharification rates. Finally, we review how "omics" advances are promising to speed up plant breeding and reach the unexplored potential of sugarcane in terms of sucrose and biomass production.
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Affiliation(s)
| | | | | | - Camila Caldana
- Max Planck Institute of Molecular Plant Physiology, Potsdam, Germany
- *Correspondence: Camila Caldana,
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Aono AH, Pimenta RJG, Garcia ALB, Correr FH, Hosaka GK, Carrasco MM, Cardoso-Silva CB, Mancini MC, Sforça DA, dos Santos LB, Nagai JS, Pinto LR, Landell MGDA, Carneiro MS, Balsalobre TW, Quiles MG, Pereira WA, Margarido GRA, de Souza AP. The Wild Sugarcane and Sorghum Kinomes: Insights Into Expansion, Diversification, and Expression Patterns. FRONTIERS IN PLANT SCIENCE 2021; 12:668623. [PMID: 34305969 PMCID: PMC8294386 DOI: 10.3389/fpls.2021.668623] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 03/17/2021] [Indexed: 05/11/2023]
Abstract
The protein kinase (PK) superfamily is one of the largest superfamilies in plants and the core regulator of cellular signaling. Despite this substantial importance, the kinomes of sugarcane and sorghum have not been profiled. Here, we identified and profiled the complete kinomes of the polyploid Saccharum spontaneum (Ssp) and Sorghum bicolor (Sbi), a close diploid relative. The Sbi kinome was composed of 1,210 PKs; for Ssp, we identified 2,919 PKs when disregarding duplications and allelic copies, and these were related to 1,345 representative gene models. The Ssp and Sbi PKs were grouped into 20 groups and 120 subfamilies and exhibited high compositional similarities and evolutionary divergences. By utilizing the collinearity between the species, this study offers insights into Sbi and Ssp speciation, PK differentiation and selection. We assessed the PK subfamily expression profiles via RNA-Seq and identified significant similarities between Sbi and Ssp. Moreover, coexpression networks allowed inference of a core structure of kinase interactions with specific key elements. This study provides the first categorization of the allelic specificity of a kinome and offers a wide reservoir of molecular and genetic information, thereby enhancing the understanding of Sbi and Ssp PK evolutionary history.
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Affiliation(s)
- Alexandre Hild Aono
- Center for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas (UNICAMP), Campinas, Brazil
| | - Ricardo José Gonzaga Pimenta
- Center for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas (UNICAMP), Campinas, Brazil
| | - Ana Letycia Basso Garcia
- Department of Genetics, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba, Brazil
| | - Fernando Henrique Correr
- Department of Genetics, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba, Brazil
| | - Guilherme Kenichi Hosaka
- Department of Genetics, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba, Brazil
| | - Marishani Marin Carrasco
- Center for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas (UNICAMP), Campinas, Brazil
| | | | - Melina Cristina Mancini
- Center for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas (UNICAMP), Campinas, Brazil
| | - Danilo Augusto Sforça
- Center for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas (UNICAMP), Campinas, Brazil
| | - Lucas Borges dos Santos
- Center for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas (UNICAMP), Campinas, Brazil
| | - James Shiniti Nagai
- Faculty of Medicine, Institute for Computational Genomics, RWTH Aachen University, Aachen, Germany
| | - Luciana Rossini Pinto
- Advanced Center of Sugarcane Agrobusiness Technological Research, Agronomic Institute of Campinas (IAC), Ribeirão Preto, Brazil
| | | | - Monalisa Sampaio Carneiro
- Departamento de Biotecnologia e Produção Vegetal e Animal, Centro de Ciências Agrárias, Universidade Federal de São Carlos (UFSCar), São Carlos, Brazil
| | - Thiago Willian Balsalobre
- Departamento de Biotecnologia e Produção Vegetal e Animal, Centro de Ciências Agrárias, Universidade Federal de São Carlos (UFSCar), São Carlos, Brazil
| | - Marcos Gonçalves Quiles
- Instituto de Ciência e Tecnologia (ICT), Universidade Federal de São Paulo (Unifesp), São José dos Campos, Brazil
| | | | | | - Anete Pereira de Souza
- Center for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas (UNICAMP), Campinas, Brazil
- Department of Plant Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, Brazil
- *Correspondence: Anete Pereira de Souza,
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