|
1
|
Pushkova EN, Borkhert EV, Novakovskiy RO, Dvorianinova EM, Rozhmina TA, Zhuchenko AA, Zhernova DA, Turba AA, Yablokov AG, Sigova EA, Krasnov GS, Bolsheva NL, Melnikova NV, Dmitriev AA. Selection of Flax Genotypes for Pan-Genomic Studies by Sequencing Tagmentation-Based Transcriptome Libraries. PLANTS (BASEL, SWITZERLAND) 2023; 12:3725. [PMID: 37960081 PMCID: PMC10650069 DOI: 10.3390/plants12213725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 10/25/2023] [Accepted: 10/27/2023] [Indexed: 11/15/2023]
Abstract
Flax (Linum usitatissimum L.) products are used in the food, pharmaceutical, textile, polymer, medical, and other industries. The creation of a pan-genome will be an important advance in flax research and breeding. The selection of flax genotypes that sufficiently cover the species diversity is a crucial step for the pan-genomic study. For this purpose, we have adapted a method based on Illumina sequencing of transcriptome libraries prepared using the Tn5 transposase (tagmentase). This approach reduces the cost of sample preparation compared to commercial kits and allows the generation of a large number of cDNA libraries in a short time. RNA-seq data were obtained for 192 flax plants (3-6 individual plants from 44 flax accessions of different morphology and geographical origin). Evaluation of the genetic relationship between flax plants based on the sequencing data revealed incorrect species identification for five accessions. Therefore, these accessions were excluded from the sample set for the pan-genomic study. For the remaining samples, typical genotypes were selected to provide the most comprehensive genetic diversity of flax for pan-genome construction. Thus, high-throughput sequencing of tagmentation-based transcriptome libraries showed high efficiency in assessing the genetic relationship of flax samples and allowed us to select genotypes for the flax pan-genomic analysis.
Collapse
Affiliation(s)
- Elena N. Pushkova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (E.N.P.); (E.V.B.); (R.O.N.); (E.M.D.); (D.A.Z.); (A.A.T.); (A.G.Y.); (E.A.S.); (G.S.K.); (N.L.B.)
| | - Elena V. Borkhert
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (E.N.P.); (E.V.B.); (R.O.N.); (E.M.D.); (D.A.Z.); (A.A.T.); (A.G.Y.); (E.A.S.); (G.S.K.); (N.L.B.)
| | - Roman O. Novakovskiy
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (E.N.P.); (E.V.B.); (R.O.N.); (E.M.D.); (D.A.Z.); (A.A.T.); (A.G.Y.); (E.A.S.); (G.S.K.); (N.L.B.)
| | - Ekaterina M. Dvorianinova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (E.N.P.); (E.V.B.); (R.O.N.); (E.M.D.); (D.A.Z.); (A.A.T.); (A.G.Y.); (E.A.S.); (G.S.K.); (N.L.B.)
- Moscow Institute of Physics and Technology, 141701 Moscow, Russia
| | - Tatiana A. Rozhmina
- Federal Research Center for Bast Fiber Crops, 172002 Torzhok, Russia; (T.A.R.); (A.A.Z.)
| | - Alexander A. Zhuchenko
- Federal Research Center for Bast Fiber Crops, 172002 Torzhok, Russia; (T.A.R.); (A.A.Z.)
- All-Russian Horticultural Institute for Breeding, Agrotechnology and Nursery, 115598 Moscow, Russia
| | - Daiana A. Zhernova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (E.N.P.); (E.V.B.); (R.O.N.); (E.M.D.); (D.A.Z.); (A.A.T.); (A.G.Y.); (E.A.S.); (G.S.K.); (N.L.B.)
- Faculty of Biology, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - Anastasia A. Turba
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (E.N.P.); (E.V.B.); (R.O.N.); (E.M.D.); (D.A.Z.); (A.A.T.); (A.G.Y.); (E.A.S.); (G.S.K.); (N.L.B.)
| | - Arthur G. Yablokov
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (E.N.P.); (E.V.B.); (R.O.N.); (E.M.D.); (D.A.Z.); (A.A.T.); (A.G.Y.); (E.A.S.); (G.S.K.); (N.L.B.)
| | - Elizaveta A. Sigova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (E.N.P.); (E.V.B.); (R.O.N.); (E.M.D.); (D.A.Z.); (A.A.T.); (A.G.Y.); (E.A.S.); (G.S.K.); (N.L.B.)
- Moscow Institute of Physics and Technology, 141701 Moscow, Russia
| | - George S. Krasnov
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (E.N.P.); (E.V.B.); (R.O.N.); (E.M.D.); (D.A.Z.); (A.A.T.); (A.G.Y.); (E.A.S.); (G.S.K.); (N.L.B.)
| | - Nadezhda L. Bolsheva
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (E.N.P.); (E.V.B.); (R.O.N.); (E.M.D.); (D.A.Z.); (A.A.T.); (A.G.Y.); (E.A.S.); (G.S.K.); (N.L.B.)
| | - Nataliya V. Melnikova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (E.N.P.); (E.V.B.); (R.O.N.); (E.M.D.); (D.A.Z.); (A.A.T.); (A.G.Y.); (E.A.S.); (G.S.K.); (N.L.B.)
| | - Alexey A. Dmitriev
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (E.N.P.); (E.V.B.); (R.O.N.); (E.M.D.); (D.A.Z.); (A.A.T.); (A.G.Y.); (E.A.S.); (G.S.K.); (N.L.B.)
| |
Collapse
|
|
2
|
Lee DJ, Choi JW, Kang JN, Lee SM, Park GH, Kim CK. Chromosome-Scale Genome Assembly and Triterpenoid Saponin Biosynthesis in Korean Bellflower (Platycodon grandiflorum). Int J Mol Sci 2023; 24:ijms24076534. [PMID: 37047506 PMCID: PMC10095269 DOI: 10.3390/ijms24076534] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 03/24/2023] [Accepted: 03/29/2023] [Indexed: 04/03/2023] Open
Abstract
Platycodon grandiflorum belongs to the Campanulaceae family and is an important medicinal and food plant in East Asia. However, on the whole, the genome evolution of P. grandiflorum and the molecular basis of its major biochemical pathways are poorly understood. We reported a chromosome-scale genome assembly of P. grandiflorum based on a hybrid method using Oxford Nanopore Technologies, Illumina sequences, and high-throughput chromosome conformation capture (Hi-C) analysis. The assembled genome was finalized as 574 Mb, containing 41,355 protein-coding genes, and the genome completeness was assessed as 97.6% using a Benchmarking Universal Single-Copy Orthologs analysis. The P. grandiflorum genome comprises nine pseudo-chromosomes with 56.9% repeat sequences, and the transcriptome analysis revealed an expansion of the 14 beta-amylin genes related to triterpenoid saponin biosynthesis. Our findings provide an understanding of P. grandiflorum genome evolution and enable genomic-assisted breeding for the mass production of important components such as triterpenoid saponins.
Collapse
|
|
3
|
Song Z, Li X. Recent Advances in Molecular Marker-Assisted Breeding for Quality Improvement of Traditional Chinese Medicine. Curr Pharm Biotechnol 2021; 22:867-875. [PMID: 32351179 DOI: 10.2174/1389201021666200430121013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 04/01/2020] [Accepted: 04/02/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND The quality of Traditional Chinese Medicine (TCM), reflected by its bioactive compounds and associated contents, is directly linked to its clinical efficacy. Therefore, it is of great importance to improve the quality of TCM by increasing the bioactive compound content. METHODS Mapping the active component content-associated QTLs in TCM and further markerassisted breeding has enabled us to rapidly and effectively cultivate new varieties with high bioactive compound contents, which has opened the door for genetic breeding studies on medicinal plants. RESULTS In this paper, a strategy and technical molecular breeding method for TCM are discussed. The development of four methods and progress in functional marker development, as well as the applications of such markers in TCM, are reviewed. CONCLUSION The progress in, challenges of, and future of marker-assisted breeding for quality improvement of TCM are discussed, which provide valuable scientific references for future molecular breeding.
Collapse
Affiliation(s)
- Zhenqiao Song
- State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an 271018, China
| | - Xingfeng Li
- State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an 271018, China
| |
Collapse
|
|
4
|
Yu GE, Shin Y, Subramaniyam S, Kang SH, Lee SM, Cho C, Lee SS, Kim CK. Machine learning, transcriptome, and genotyping chip analyses provide insights into SNP markers identifying flower color in Platycodon grandiflorus. Sci Rep 2021; 11:8019. [PMID: 33850210 PMCID: PMC8044237 DOI: 10.1038/s41598-021-87281-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 03/24/2021] [Indexed: 11/27/2022] Open
Abstract
Bellflower is an edible ornamental gardening plant in Asia. For predicting the flower color in bellflower plants, a transcriptome-wide approach based on machine learning, transcriptome, and genotyping chip analyses was used to identify SNP markers. Six machine learning methods were deployed to explore the classification potential of the selected SNPs as features in two datasets, namely training (60 RNA-Seq samples) and validation (480 Fluidigm chip samples). SNP selection was performed in sequential order. Firstly, 96 SNPs were selected from the transcriptome-wide SNPs using the principal compound analysis (PCA). Then, 9 among 96 SNPs were later identified using the Random forest based feature selection method from the Fluidigm chip dataset. Among six machines, the random forest (RF) model produced higher classification performance than the other models. The 9 SNP marker candidates selected for classifying the flower color classification were verified using the genomic DNA PCR with Sanger sequencing. Our results suggest that this methodology could be used for future selection of breeding traits even though the plant accessions are highly heterogeneous.
Collapse
Affiliation(s)
- Go-Eun Yu
- Genomics Division, National Institute of Agricultural Sciences, Jeonju, 54874, Korea
| | - Younhee Shin
- Research and Development Center, Insilicogen Inc., Yongin-si 16954, Gyeonggi-do, Republic of Korea
| | | | - Sang-Ho Kang
- Genomics Division, National Institute of Agricultural Sciences, Jeonju, 54874, Korea
| | - Si-Myung Lee
- Genomics Division, National Institute of Agricultural Sciences, Jeonju, 54874, Korea
| | - Chuloh Cho
- Crop Foundation Research Division, National Institute of Crop Science, RDA, Wanju, 55365, Korea
| | - Seung-Sik Lee
- Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute, 29 Geumgu-gil, Jeongeup, 56212, Korea
- Department of Radiation Science and Technology, University of Science and Technology, Daejeon, 34113, Korea
| | - Chang-Kug Kim
- Genomics Division, National Institute of Agricultural Sciences, Jeonju, 54874, Korea.
| |
Collapse
|
|
5
|
Singh RS, Kesari R, Kumar U, Jha VK, Kumar A, Kumar T, Pal AK, Singh PK. Candidate genes of flavonoid biosynthesis in Selaginella bryopteris (L.) Baker identified by RNA-Seq. Funct Integr Genomics 2018; 18:505-517. [PMID: 29666977 DOI: 10.1007/s10142-018-0603-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2017] [Revised: 02/16/2018] [Accepted: 03/18/2018] [Indexed: 12/13/2022]
Abstract
In the present study, de novo transcriptome analysis of Selaginella bryopteris in frond and root was performed to understand the regulation of flavonoid (FL) biosynthesis. High-quality data of 5.84 and 5.86 Gb was generated for frond and root, respectively, that assembled into 94,713 and 81,567 transcripts. A total of 87,471 and 73,395 unigenes were obtained from frond and root, respectively. A total of 41,267 and 31,048 CDS of frond and root, respectively, were annotated by BLASTX, which showed maximum hits against S. moellendorffii. Out of 11,285 differentially expressed genes, a total of 5639 genes were found to be down-regulated and 5628 genes up-regulated in frond as compared to those in root. In silico analysis of expression of genes in frond as compared to that in root was done for those related to phenylpropanoid (PP)/FL biosynthesis along with transcription factors (TFs) after DESeq and MapMan-based information. Results showed that genes of PP/FL biosynthesis pathway namely SbCHS, SbCHI, SbF3H, SbF3'H, SbDFR, SbUF3GT, SbCCOAMT, and SbCATOMT and TFs (SbMYB1, SbMYB2, SbMYB3, SbBHLH1, and SbWD40-5) were up-regulated in frond in comparison to those in root. Further, this in silico expression data was validated by RT-PCR analysis which showed predominant expression of most of these genes in frond and indicated their importance in the biosynthesis of flavonoids in S. bryopteris. A total of 9074 simple sequence repeats (SSRs) were also identified for frond and 3811 SSRs for root; these can be used for experimental validation.
Collapse
Affiliation(s)
- Ravi S Singh
- Department of Plant Breeding and Genetics, Bihar Agricultural College, Bihar Agricultural University, Sabour, Bhagalpur, Bihar, 813210, India.
| | - Ravi Kesari
- Department of Plant Breeding and Genetics, Bihar Agricultural College, Bihar Agricultural University, Sabour, Bhagalpur, Bihar, 813210, India
| | - Ujjwal Kumar
- Department of Plant Breeding and Genetics, Bihar Agricultural College, Bihar Agricultural University, Sabour, Bhagalpur, Bihar, 813210, India
| | - Vikash Kumar Jha
- Department of Plant Breeding and Genetics, Bihar Agricultural College, Bihar Agricultural University, Sabour, Bhagalpur, Bihar, 813210, India
| | - Anjani Kumar
- Department of Plant Breeding and Genetics, Bihar Agricultural College, Bihar Agricultural University, Sabour, Bhagalpur, Bihar, 813210, India
| | - Tribhuwan Kumar
- Department of Plant Breeding and Genetics, Bihar Agricultural College, Bihar Agricultural University, Sabour, Bhagalpur, Bihar, 813210, India
| | - Awadhesh K Pal
- Department of Plant Breeding and Genetics, Bihar Agricultural College, Bihar Agricultural University, Sabour, Bhagalpur, Bihar, 813210, India
| | - Prabhash K Singh
- Department of Plant Breeding and Genetics, Bihar Agricultural College, Bihar Agricultural University, Sabour, Bhagalpur, Bihar, 813210, India
| |
Collapse
|
|
6
|
Dai Y, Su W, Yang C, Song B, Li Y, Fu Y. Development of Novel Polymorphic EST-SSR Markers in Bailinggu (Pleurotus tuoliensis) for Crossbreeding. Genes (Basel) 2017; 8:genes8110325. [PMID: 29149037 PMCID: PMC5704238 DOI: 10.3390/genes8110325] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Revised: 10/16/2017] [Accepted: 11/08/2017] [Indexed: 01/02/2023] Open
Abstract
Identification of monokaryons and their mating types and discrimination of hybrid offspring are key steps for the crossbreeding of Pleurotus tuoliensis (Bailinggu). However, conventional crossbreeding methods are troublesome and time consuming. Using RNA-seq technology, we developed new expressed sequence tag-simple sequence repeat (EST-SSR) markers for Bailinggu to easily and rapidly identify monokaryons and their mating types, genetic diversity and hybrid offspring. We identified 1110 potential EST-based SSR loci from a newly-sequenced Bailinggu transcriptome and then randomly selected 100 EST-SSRs for further validation. Results showed that 39, 43 and 34 novel EST-SSR markers successfully identified monokaryons from their parent dikaryons, differentiated two different mating types and discriminated F1 and F2 hybrid offspring, respectively. Furthermore, a total of 86 alleles were detected in 37 monokaryons using 18 highly informative EST-SSRs. The observed number of alleles per locus ranged from three to seven. Cluster analysis revealed that these monokaryons have a relatively high level of genetic diversity. Transfer rates of the EST-SSRs in the monokaryons of closely-related species Pleurotuseryngii var. ferulae and Pleurotus ostreatus were 72% and 64%, respectively. Therefore, our study provides new SSR markers and an efficient method to enhance the crossbreeding of Bailinggu and closely-related species.
Collapse
Affiliation(s)
- Yueting Dai
- Engineering Research Center of Chinese Ministry of Education for Edible and Medicinal Fungi, Jilin Agricultural University, Changchun 130118, China.
| | - Wenying Su
- Engineering Research Center of Chinese Ministry of Education for Edible and Medicinal Fungi, Jilin Agricultural University, Changchun 130118, China.
| | - Chentao Yang
- China National GeneBank, Environmental Genomics, Beijing Genomics Institute, Shenzhen 518083, China.
| | - Bing Song
- Engineering Research Center of Chinese Ministry of Education for Edible and Medicinal Fungi, Jilin Agricultural University, Changchun 130118, China.
| | - Yu Li
- Engineering Research Center of Chinese Ministry of Education for Edible and Medicinal Fungi, Jilin Agricultural University, Changchun 130118, China.
| | - Yongping Fu
- Engineering Research Center of Chinese Ministry of Education for Edible and Medicinal Fungi, Jilin Agricultural University, Changchun 130118, China.
| |
Collapse
|
|
7
|
Xavier C, Molina J. Phylogeny of medicinal plants depicts cultural convergence among immigrant groups in New York City. J Herb Med 2016. [DOI: 10.1016/j.hermed.2015.12.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
|