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Rashid Z, Nabi A, Nabi N, Lateef I, Nisa Q, Fayaz T, Gulzar G, Bashir A, Shah MD, Zargar SM, Khan I, Nahvi AI, Itoo H, Shah RA, Padder BA. Selection of stable reference genes for qPCR expression of Colletotrichum lindemuthianum, the bean anthracnose pathogen. Fungal Biol 2024; 128:1771-1779. [PMID: 38796261 DOI: 10.1016/j.funbio.2024.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 02/10/2024] [Accepted: 03/19/2024] [Indexed: 05/28/2024]
Abstract
Phaseolus vulgaris L., commonly known as the common bean, is a highly nutritious crop often called the "poor man's meat". However, it is susceptible to various diseases throughout the cropping season, with anthracnose caused by Colletotrichum lindemuthianum being a significant threat that leads to substantial losses. There is still a lack of understanding about the molecular basis of C. lindemuthianum pathogenicity. The first step in understanding this is to identify pathogenicity genes that express more during infection of common beans. A reverse transcription quantitative real-time PCR (qPCR) method can be used for virulence gene expression. However, this approach requires selecting appropriate reference genes to normalize relative gene expression data. Currently, there is no reference gene available for C. lindemuthianum. In this study, we selected eight candidate reference genes from the available genome of C. lindemuthianum to bridge the gap. These genes were ACT (Actin), β-tub (β-tubulin), EF (Elongation Factor), Cyt C (Cytochrome C), His H3 (Histone H3), CHS1 (Chitin synthetase), GAPDH (Glyceraldehyde-3-phosphate dehydrogenase) and abfA (Alpha-l-Arabinofuranosidase A). The primers for these candidate reference genes were able to amplify cDNA only from the pathogen, demonstrating their specificity. The qPCR efficiency of the primers ranged from 80% to 103%. We analyzed the stability of gene expression in C. lindemuthianum by exposing the mycelium to nine different stress conditions. We employed algorithms, such as GeNorm, NormFinder, BestKeeper, and RefFinder tools, to identify the most stable gene. The analysis using these tools revealed that EF, GAPDH, and β-tub most stable genes, while ACT and CHS1 showed relatively low expression stability. A large number of potential effector genes have been identified through bioinformatics analysis in C. lindemuthianum. The stable genes for qPCR (EF and GAPDH) discovered in this study will aid the scientific community in determining the relative expression of C. lindemuthianum effector genes.
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Affiliation(s)
- Zainab Rashid
- Plant Virology and Molecular Plant Pathology Laboratory, Division of Plant Pathology, SKUAST-Kashmir, Shalimar, Srinagar, 190025, India
| | - Aasiya Nabi
- Plant Virology and Molecular Plant Pathology Laboratory, Division of Plant Pathology, SKUAST-Kashmir, Shalimar, Srinagar, 190025, India
| | - Naziya Nabi
- Plant Virology and Molecular Plant Pathology Laboratory, Division of Plant Pathology, SKUAST-Kashmir, Shalimar, Srinagar, 190025, India
| | - Irtifa Lateef
- Plant Virology and Molecular Plant Pathology Laboratory, Division of Plant Pathology, SKUAST-Kashmir, Shalimar, Srinagar, 190025, India
| | - Qadrul Nisa
- Plant Virology and Molecular Plant Pathology Laboratory, Division of Plant Pathology, SKUAST-Kashmir, Shalimar, Srinagar, 190025, India
| | - Tabia Fayaz
- Plant Virology and Molecular Plant Pathology Laboratory, Division of Plant Pathology, SKUAST-Kashmir, Shalimar, Srinagar, 190025, India
| | - Gazala Gulzar
- Plant Virology and Molecular Plant Pathology Laboratory, Division of Plant Pathology, SKUAST-Kashmir, Shalimar, Srinagar, 190025, India
| | - Adfar Bashir
- Plant Virology and Molecular Plant Pathology Laboratory, Division of Plant Pathology, SKUAST-Kashmir, Shalimar, Srinagar, 190025, India
| | - M D Shah
- Research Center for Residue and Quality Control Analysis, SKUAST-Kashmir, 190025, India
| | - Sajad M Zargar
- Division of Plant Biotechnology, SKUAST-Kashmir, Shalimar, Srinagar, 190025, India
| | - Imran Khan
- Division of Agricultural Statistics, SKUAST-Kashmir, Shalimar, Srinagar, 190025, India
| | - Afsah Iqbal Nahvi
- Extension Training Centre, Malangpora, Pulwama, SKUAST-Kashmir, Shalimar, Srinagar, 190025, India
| | - H Itoo
- Ambri Apple Research Centre, Pahnoo, SKUAST-Kashmir, Shalimar, Srinagar, 190025, India
| | - Rafiq A Shah
- Ambri Apple Research Centre, Pahnoo, SKUAST-Kashmir, Shalimar, Srinagar, 190025, India
| | - Bilal A Padder
- Plant Virology and Molecular Plant Pathology Laboratory, Division of Plant Pathology, SKUAST-Kashmir, Shalimar, Srinagar, 190025, India.
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Cheng SS, Ku YS, Cheung MY, Lam HM. Identification of stably expressed reference genes for expression studies in Arabidopsis thaliana using mass spectrometry-based label-free quantification. FRONTIERS IN PLANT SCIENCE 2022; 13:1001920. [PMID: 36247637 PMCID: PMC9557097 DOI: 10.3389/fpls.2022.1001920] [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: 07/24/2022] [Accepted: 08/29/2022] [Indexed: 06/16/2023]
Abstract
Arabidopsis thaliana has been used regularly as a model plant in gene expression studies on transcriptional reprogramming upon pathogen infection, such as that by Pseudomonas syringae pv. tomato DC3000 (Pst DC3000), or when subjected to stress hormone treatments including jasmonic acid (JA), salicylic acid (SA), and abscisic acid (ABA). Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) has been extensively employed to quantitate these gene expression changes. However, the accuracy of the quantitation is largely dependent on the stability of the expressions of reference genes used for normalization. Recently, RNA sequencing (RNA-seq) has been widely used to mine stably expressed genes for use as references in RT-qPCR. However, the amplification step in RNA-seq creates an intrinsic bias against those genes with relatively low expression levels, and therefore does not provide an accurate quantification of all expressed genes. In this study, we employed mass spectrometry-based label-free quantification (LFQ) in proteomic analyses to identify those proteins with abundances unaffected by Pst DC3000 infection. We verified, using RT-qPCR, that the levels of their corresponding mRNAs were also unaffected by Pst DC3000 infection. Compared to commonly used reference genes for expression studies in A. thaliana upon Pst DC3000 infection, the candidate reference genes reported in this study generally have a higher expression stability. In addition, using RT-qPCR, we verified that the mRNAs of the candidate reference genes were stably expressed upon stress hormone treatments including JA, SA, and ABA. Results indicated that the candidate genes identified here had stable expressions upon these stresses and are suitable to be used as reference genes for RT-qPCR. Among the 18 candidate reference genes reported in this study, many of them had greater expression stability than the commonly used reference genes, such as ACT7, in previous studies. Here, besides proposing more appropriate reference genes for Arabidopsis expression studies, we also demonstrated the capacity of mass spectrometry-based LFQ to quantify protein abundance and the possibility to extend protein expression studies to the transcript level.
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Yang Y, Xu X, Jing Z, Ye J, Li H, Li X, Shi L, Chen M, Wang T, Xie B, Tao Y. Genome-Wide Screening and Stability Verification of the Robust Internal Control Genes for RT-qPCR in Filamentous Fungi. J Fungi (Basel) 2022; 8:jof8090952. [PMID: 36135677 PMCID: PMC9504127 DOI: 10.3390/jof8090952] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 09/06/2022] [Accepted: 09/07/2022] [Indexed: 11/16/2022] Open
Abstract
In real-time quantitative PCR (RT-qPCR), internal control genes (ICGs) are crucial for normalization. This study screened 6 novel ICGs: Pre-mRNA-splicing factor cwc15 (Cwf15); ER associated DnaJ chaperone (DnaJ); E3 ubiquitin-protein ligase NEDD4 (HUL4); ATP-binding cassette, subfamily B (MDR/TAP), member 1 (VAMP); Exosome complex exonuclease DIS3/RRP44 (RNB); V-type H+-transporting ATPase sub-unit A (V-ATP) from the 22-transcriptome data of 8 filamentous fungi. The six novel ICGs are all involved in the basic biological process of cells and share the different transcription levels from high to low. In order to further verify the stability of ICGs candidates, the six novel ICGs as well as three traditional housekeeping genes: β-actin (ACTB); β-tubulin (β-TUB); glyceraldehyde-3-phosphate dehydrogenase gene (GAPDH) and the previously screened reference genes: SPRY-domain-containing protein (SPRYp); Ras-2 protein (Ras); Vacuolar protein sorting protein 26 (Vps26) were evaluated by geNorm and NormFinder statistical algorithms. RT-qPCR of 12 ICGs were performed at different developmental stages in Flammulina filiformis and under different treatment conditions in Neurospora crassa. The consistent results of the two algorithms suggested that the novel genes, RNB, V-ATP, and VAMP, showed the highest stability in F. filiformis and N. crassa. RNB, V-ATP, and VAMP have high expression stability and universal applicability and therefore have great potential as ICGs for standardized calculation in filamentous fungi. The results also provide a novel guidance for the screening stable reference genes in RT-qPCR and a wide application in gene expression analysis of filamentous fungi.
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Affiliation(s)
- Yayong Yang
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Mycological Research Center, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Xinyu Xu
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Mycological Research Center, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Zhuohan Jing
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Mycological Research Center, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Jun Ye
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Mycological Research Center, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Hui Li
- Institute of Cash Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang 050051, China
| | - Xiaoyu Li
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Mycological Research Center, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Lei Shi
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Mycological Research Center, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Mengyu Chen
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Mycological Research Center, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Tengyun Wang
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Mycological Research Center, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Baogui Xie
- Mycological Research Center, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Yongxin Tao
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Mycological Research Center, College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- Correspondence: ; Tel.: +86-0591-83789281
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Barcoto MO, Rodrigues A. Lessons From Insect Fungiculture: From Microbial Ecology to Plastics Degradation. Front Microbiol 2022; 13:812143. [PMID: 35685924 PMCID: PMC9171207 DOI: 10.3389/fmicb.2022.812143] [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: 11/09/2021] [Accepted: 03/15/2022] [Indexed: 11/13/2022] Open
Abstract
Anthropogenic activities have extensively transformed the biosphere by extracting and disposing of resources, crossing boundaries of planetary threat while causing a global crisis of waste overload. Despite fundamental differences regarding structure and recalcitrance, lignocellulose and plastic polymers share physical-chemical properties to some extent, that include carbon skeletons with similar chemical bonds, hydrophobic properties, amorphous and crystalline regions. Microbial strategies for metabolizing recalcitrant polymers have been selected and optimized through evolution, thus understanding natural processes for lignocellulose modification could aid the challenge of dealing with the recalcitrant human-made polymers spread worldwide. We propose to look for inspiration in the charismatic fungal-growing insects to understand multipartite degradation of plant polymers. Independently evolved in diverse insect lineages, fungiculture embraces passive or active fungal cultivation for food, protection, and structural purposes. We consider there is much to learn from these symbioses, in special from the community-level degradation of recalcitrant biomass and defensive metabolites. Microbial plant-degrading systems at the core of insect fungicultures could be promising candidates for degrading synthetic plastics. Here, we first compare the degradation of lignocellulose and plastic polymers, with emphasis in the overlapping microbial players and enzymatic activities between these processes. Second, we review the literature on diverse insect fungiculture systems, focusing on features that, while supporting insects' ecology and evolution, could also be applied in biotechnological processes. Third, taking lessons from these microbial communities, we suggest multidisciplinary strategies to identify microbial degraders, degrading enzymes and pathways, as well as microbial interactions and interdependencies. Spanning from multiomics to spectroscopy, microscopy, stable isotopes probing, enrichment microcosmos, and synthetic communities, these strategies would allow for a systemic understanding of the fungiculture ecology, driving to application possibilities. Detailing how the metabolic landscape is entangled to achieve ecological success could inspire sustainable efforts for mitigating the current environmental crisis.
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Affiliation(s)
- Mariana O. Barcoto
- Center for the Study of Social Insects, São Paulo State University (UNESP), Rio Claro, Brazil
- Department of General and Applied Biology, São Paulo State University (UNESP), Rio Claro, Brazil
| | - Andre Rodrigues
- Center for the Study of Social Insects, São Paulo State University (UNESP), Rio Claro, Brazil
- Department of General and Applied Biology, São Paulo State University (UNESP), Rio Claro, Brazil
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Li J, Fu N, Ren L, Luo Y. Identification and Validation of Reference Genes for Gene Expression Analysis in Monochamus saltuarius Under Bursaphelenchus xylophilus Treatment. Front Physiol 2022; 13:882792. [PMID: 35547586 PMCID: PMC9082747 DOI: 10.3389/fphys.2022.882792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 03/21/2022] [Indexed: 11/13/2022] Open
Abstract
A special mutual relationship exists between the pine wood nematode (PWN) Bursaphelenchus xylophilus and its vector beetles of genus Monochamus, which enables PWN to spread, at the same time provides longhorned beetles with more weak hosts. PWN are attracted to the pupal chambers and then carried inside the trachea of beetle adults, which is a necessary part to complete the B. xylophilus infection cycle. The growth and immune responses of the vector beetle will affect this carrying process, however, they were rarely studied in Monochamus saltuarius. Real-time quantitative polymerase chain reaction (RT-qPCR), one of the most common methods for quantitative gene expression analysis, was performed to explore the key genes and pathways involved in the growth, development and immune responses of M. saltuarius at different developmental stages associated with infection of PWN and PWN treatment conditions. To enhance the accuracy of RT-qPCR data, the expression of target genes needs to be normalized with reference genes, which are stably expressed under varied experimental conditions. In our study, the stability of 14 candidate reference genes in M. saltuarius samples at different developmental stages associated with infection of PWN or PWN treatment conditions was evaluated using delta Ct, geNorm, NormFinder, BestKeeper and RefFinder algorithms. Moreover, KLF gene was used to validate the stability of the selected reference genes. Under experimental conditions of this study, RPL7 and TER were suitable reference genes at different developmental stages associated with infection of PWN. RPL7 and RPS5 were considered the most stable reference genes in the pupae treated with PWN. RPS5 and SNX6 could be used as reference genes in the adults treated with PWN. RPL7, EF1-γ, and RPS5 could be used as stable reference genes in all the samples. This work is the first to evaluate reference genes in M. saltuarius, laying a foundation for further gene expression experimental procedures and understanding the phoretic relationship between M. saltuarius and B. xylophilus.
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Affiliation(s)
- Jiaxing Li
- Beijing Key Laboratory for Forest Pest Control, Beijing Forestry University, Beijing, China
| | - Ningning Fu
- Beijing Key Laboratory for Forest Pest Control, Beijing Forestry University, Beijing, China
| | - Lili Ren
- Beijing Key Laboratory for Forest Pest Control, Beijing Forestry University, Beijing, China
| | - Youqing Luo
- Beijing Key Laboratory for Forest Pest Control, Beijing Forestry University, Beijing, China
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