1
|
Nishimura K, Kokaji H, Motoki K, Yamazaki A, Nagasaka K, Mori T, Takisawa R, Yasui Y, Kawai T, Ushijima K, Yamasaki M, Saito H, Nakano R, Nakazaki T. Degenerate oligonucleotide primer MIG-seq: an effective PCR-based method for high-throughput genotyping. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2024; 118:2296-2317. [PMID: 38459738 DOI: 10.1111/tpj.16708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 01/14/2024] [Accepted: 02/14/2024] [Indexed: 03/10/2024]
Abstract
Next-generation sequencing (NGS) library construction often involves using restriction enzymes to decrease genome complexity, enabling versatile polymorphism detection in plants. However, plant leaves frequently contain impurities, such as polyphenols, necessitating DNA purification before enzymatic reactions. To overcome this problem, we developed a PCR-based method for expeditious NGS library preparation, offering flexibility in number of detected polymorphisms. By substituting a segment of the simple sequence repeat sequence in the MIG-seq primer set (MIG-seq being a PCR method enabling library construction with low-quality DNA) with degenerate oligonucleotides, we introduced variability in detectable polymorphisms across various crops. This innovation, named degenerate oligonucleotide primer MIG-seq (dpMIG-seq), enabled a streamlined protocol for constructing dpMIG-seq libraries from unpurified DNA, which was implemented stably in several crop species, including fruit trees. Furthermore, dpMIG-seq facilitated efficient lineage selection in wheat and enabled linkage map construction and quantitative trait loci analysis in tomato, rice, and soybean without necessitating DNA concentration adjustments. These findings underscore the potential of the dpMIG-seq protocol for advancing genetic analyses across diverse plant species.
Collapse
Affiliation(s)
- Kazusa Nishimura
- Graduate School of Agriculture, Kyoto University, 4-2-1, Shiroyamadai, Kizugawa City, Kyoto, 619-0218, Japan
- Graduate School of Environmental, Life, Natural Science and Technology, Okayama University, 1-1-1 Tsushima-naka, Kita-ku, Okayama City, 700-8530, Okayama, Japan
| | - Hiroyuki Kokaji
- Graduate School of Agriculture, Kyoto University, 4-2-1, Shiroyamadai, Kizugawa City, Kyoto, 619-0218, Japan
| | - Ko Motoki
- Graduate School of Agriculture, Kyoto University, 4-2-1, Shiroyamadai, Kizugawa City, Kyoto, 619-0218, Japan
- Graduate School of Environmental, Life, Natural Science and Technology, Okayama University, 1-1-1 Tsushima-naka, Kita-ku, Okayama City, 700-8530, Okayama, Japan
| | - Akira Yamazaki
- Faculty of Agriculture, Kindai University, 3327-204, Nakamachi, Nara City, Nara, 631-8505, Japan
| | - Kyoka Nagasaka
- Graduate School of Agriculture, Kyoto University, 4-2-1, Shiroyamadai, Kizugawa City, Kyoto, 619-0218, Japan
| | - Takashi Mori
- Graduate School of Agriculture, Kyoto University, 4-2-1, Shiroyamadai, Kizugawa City, Kyoto, 619-0218, Japan
| | - Rihito Takisawa
- Faculty of Agriculture, Ryukoku University, 1-5 Yokotani, Seta Oe-cho, Otsu City, Shiga, 520-2194, Japan
| | - Yasuo Yasui
- Graduate School of Agriculture, Kyoto University, 4-2-1, Shiroyamadai, Kizugawa City, Kyoto, 619-0218, Japan
| | - Takashi Kawai
- Graduate School of Environmental, Life, Natural Science and Technology, Okayama University, 1-1-1 Tsushima-naka, Kita-ku, Okayama City, 700-8530, Okayama, Japan
| | - Koichiro Ushijima
- Graduate School of Environmental, Life, Natural Science and Technology, Okayama University, 1-1-1 Tsushima-naka, Kita-ku, Okayama City, 700-8530, Okayama, Japan
| | - Masanori Yamasaki
- Graduate School of Science and Technology, Niigata University, 8050 Ikarashi 2 no-cho, Nishi-ku, Niigata City, Niigata, 950-2181, Japan
| | - Hiroki Saito
- Tropical Agriculture Research Front, Japan International Research Center for Agricultural Sciences, 1091-1 Maezato-Kawarabaru, Ishigaki, Okinawa, 907-0002, Japan
| | - Ryohei Nakano
- Graduate School of Agriculture, Kyoto University, 4-2-1, Shiroyamadai, Kizugawa City, Kyoto, 619-0218, Japan
| | - Tetsuya Nakazaki
- Graduate School of Agriculture, Kyoto University, 4-2-1, Shiroyamadai, Kizugawa City, Kyoto, 619-0218, Japan
| |
Collapse
|
2
|
Afshari-Behbahanizadeh S, Puglisi D, Esposito S, De Vita P. Allelic Variations in Vernalization ( Vrn) Genes in Triticum spp. Genes (Basel) 2024; 15:251. [PMID: 38397240 PMCID: PMC10887697 DOI: 10.3390/genes15020251] [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: 01/20/2024] [Revised: 02/12/2024] [Accepted: 02/14/2024] [Indexed: 02/25/2024] Open
Abstract
Rapid climate changes, with higher warming rates during winter and spring seasons, dramatically affect the vernalization requirements, one of the most critical processes for the induction of wheat reproductive growth, with severe consequences on flowering time, grain filling, and grain yield. Specifically, the Vrn genes play a major role in the transition from vegetative to reproductive growth in wheat. Recent advances in wheat genomics have significantly improved the understanding of the molecular mechanisms of Vrn genes (Vrn-1, Vrn-2, Vrn-3, and Vrn-4), unveiling a diverse array of natural allelic variations. In this review, we have examined the current knowledge of Vrn genes from a functional and structural point of view, considering the studies conducted on Vrn alleles at different ploidy levels (diploid, tetraploid, and hexaploid). The molecular characterization of Vrn-1 alleles has been a focal point, revealing a diverse array of allelic forms with implications for flowering time. We have highlighted the structural complexity of the different allelic forms and the problems linked to the different nomenclature of some Vrn alleles. Addressing these issues will be crucial for harmonizing research efforts and enhancing our understanding of Vrn gene function and evolution. The increasing availability of genome and transcriptome sequences, along with the improvements in bioinformatics and computational biology, offers a versatile range of possibilities for enriching genomic regions surrounding the target sites of Vrn genes, paving the way for innovative approaches to manipulate flowering time and improve wheat productivity.
Collapse
Affiliation(s)
- Sanaz Afshari-Behbahanizadeh
- Research Centre for Cereal and Industrial Crops (CREA-CI), CREA—Council for Agricultural Research and Economics, SS 673 Meters 25 200, 71122 Foggia, Italy; (S.A.-B.); (D.P.)
- Department of Agriculture, Food, Natural Science, Engineering, University of Foggia, Via Napoli 25, 71122 Foggia, Italy
| | - Damiano Puglisi
- Research Centre for Cereal and Industrial Crops (CREA-CI), CREA—Council for Agricultural Research and Economics, SS 673 Meters 25 200, 71122 Foggia, Italy; (S.A.-B.); (D.P.)
| | - Salvatore Esposito
- Research Centre for Cereal and Industrial Crops (CREA-CI), CREA—Council for Agricultural Research and Economics, SS 673 Meters 25 200, 71122 Foggia, Italy; (S.A.-B.); (D.P.)
- National Research Council of Italy, Institute of Biosciences and BioResources, Research Division Portici (CNR-IBBR), 80055 Portici, Italy
| | - Pasquale De Vita
- Research Centre for Cereal and Industrial Crops (CREA-CI), CREA—Council for Agricultural Research and Economics, SS 673 Meters 25 200, 71122 Foggia, Italy; (S.A.-B.); (D.P.)
| |
Collapse
|
3
|
Farhad M, Tripathi SB, Singh RP, Joshi AK, Bhati PK, Vishwakarma MK, Kumar U. GWAS for Early-Establishment QTLs and Their Linkage to Major Phenology-Affecting Genes ( Vrn, Ppd, and Eps) in Bread Wheat. Genes (Basel) 2023; 14:1507. [PMID: 37510411 PMCID: PMC10378780 DOI: 10.3390/genes14071507] [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: 05/08/2023] [Revised: 06/13/2023] [Accepted: 07/05/2023] [Indexed: 07/30/2023] Open
Abstract
Farmers in northern and central Indian regions prefer to plant wheat early in the season to take advantage of the remaining soil moisture. By planting crops before the start of the season, it is possible to extend the time frame for spring wheat. The early-wheat-establishment experiment began in the 2017 growing season at the Borlaug Institute for South Asia (BISA) in Ludhiana, India, and, after three years of intensive study, numerous agronomic, physiological, and yield data points were gathered. This study aimed to identify wheat lines suitable for early establishment through an analysis of the agro-morphological traits and the genetic mapping of associated genes or quantitative trait loci (QTLs). Advancing the planting schedule by two-three weeks proved to be advantageous in terms of providing a longer duration for crop growth and reducing the need for irrigation. This is attributed to the presence of residual soil moisture resulting from the monsoon season. Early sowing facilitated the selection of genotypes able to withstand early elevated temperatures and a prolonged phenological period. The ideotype, which includes increased photo-growing degree days for booting and heading, as well as a longer grain-filling period, is better suited to early planting than timely planting. Senescence was delayed in combination with a slower rate of canopy temperature rise, which was an excellent trait for early-adapted ideotypes. Thus, a novel approach to wheat breeding would include a screening of genotypes for early planting and an ideotype design with consistent and appropriate features. A genome-wide association study (GWAS) revealed multiple QTLs linked to early adaptation in terms of the yield and its contributing traits. Among them, 44 novel QTLs were also found along with known loci. Furthermore, the study discovered that the phenology regulatory genes, such as Vrn and Ppd, are in the same genomic region, thereby contributing to early adaptation.
Collapse
Affiliation(s)
- Md Farhad
- Bangladesh Wheat and Maize Research Institute (BWMRI), Dinajpur 5200, Bangladesh
| | - Shashi B Tripathi
- TERI School of Advanced Studies, Vasant Kunj, New Delhi 110070, India
| | - Ravi P Singh
- International Maize and Wheat Improvement Centre (CIMMYT), Carretera México-Veracruz Km. 45, El Batán, Texcoco C.P. 56237, Mexico
| | - Arun K Joshi
- Borlaug Institute for South Asia (BISA), New Delhi 110012, India
| | - Pradeep K Bhati
- Borlaug Institute for South Asia (BISA), New Delhi 110012, India
| | | | - Uttam Kumar
- Borlaug Institute for South Asia (BISA), New Delhi 110012, India
| |
Collapse
|
4
|
Milec Z, Strejčková B, Šafář J. Contemplation on wheat vernalization. FRONTIERS IN PLANT SCIENCE 2023; 13:1093792. [PMID: 36684728 PMCID: PMC9853533 DOI: 10.3389/fpls.2022.1093792] [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: 11/10/2022] [Accepted: 12/08/2022] [Indexed: 06/17/2023]
Abstract
Vernalization is a period of low non-freezing temperatures, which provides the competence to flower. This mechanism ensures that plants sown before winter develop reproductive organs in more favourable conditions during spring. Such an evolutionary mechanism has evolved in both monocot and eudicot plants. Studies in monocots, represented by temperate cereals like wheat and barley, have identified and proposed the VERNALIZATION1 (VRN1) gene as a key player in the vernalization response. VRN1 belongs to MADS-box transcription factors and is expressed in the leaves and the apical meristem, where it subsequently promotes flowering. Despite substantial research advancement in the last two decades, there are still gaps in our understanding of the vernalization mechanism. Here we summarise the present knowledge of wheat vernalization. We discuss VRN1 allelic variation, review vernalization models, talk VRN1 copy number variation and devernalization phenomenon. Finally, we suggest possible future directions of the vernalization research in wheat.
Collapse
|
5
|
Nishimura K, Motoki K, Yamazaki A, Takisawa R, Yasui Y, Kawai T, Ushijima K, Nakano R, Nakazaki T. MIG-seq is an effective method for high-throughput genotyping in wheat ( Triticum spp.). DNA Res 2022; 29:6567359. [PMID: 35412600 PMCID: PMC9035812 DOI: 10.1093/dnares/dsac011] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 04/08/2022] [Indexed: 12/04/2022] Open
Abstract
MIG-seq (Multiplexed inter-simple sequence repeats genotyping by sequencing) has been developed as a low cost genotyping technology, although the number of polymorphisms obtained is assumed to be minimal, resulting in the low application of this technique to analyses of agricultural plants. We applied MIG-seq to 12 plant species that include various crops and investigated the relationship between genome size and the number of bases that can be stably sequenced. The genome size and the number of loci, which can be sequenced by MIG-seq, are positively correlated. This is due to the linkage between genome size and the number of simple sequence repeats (SSRs) through the genome. The applicability of MIG-seq to population structure analysis, linkage mapping, and quantitative trait loci (QTL) analysis in wheat, which has a relatively large genome, was further evaluated. The results of population structure analysis for tetraploid wheat showed the differences among collection sites and subspecies, which agreed with previous findings. Additionally, in wheat biparental mapping populations, over 3,000 SNPs/indels with low deficiency were detected using MIG-seq, and the QTL analysis was able to detect recognized flowering-related genes. These results revealed the effectiveness of MIG-seq for genomic analysis of agricultural plants with large genomes, including wheat.
Collapse
Affiliation(s)
- Kazusa Nishimura
- Graduate School of Agriculture, Kyoto University, Kizugawa City, Kyoto Prefecture 619-0218, Japan
| | - Ko Motoki
- Graduate School of Agriculture, Kyoto University, Kizugawa City, Kyoto Prefecture 619-0218, Japan
| | - Akira Yamazaki
- Graduate School of Agriculture, Kyoto University, Kizugawa City, Kyoto Prefecture 619-0218, Japan
- Faculty of Agriculture, Kindai University, Nara City, Nara Prefecture 631-8505, Japan
| | - Rihito Takisawa
- Faculty of Agriculture, Ryukoku University, Otsu City, Shiga Prefecture 520-2194, Japan
| | - Yasuo Yasui
- Graduate School of Agriculture, Kyoto University, Kizugawa City, Kyoto Prefecture 619-0218, Japan
| | - Takashi Kawai
- Graduate School of Environmental and Life Science, Okayama University, Okayama City, Okayama Prefecture 700-8530, Japan
| | - Koichiro Ushijima
- Graduate School of Environmental and Life Science, Okayama University, Okayama City, Okayama Prefecture 700-8530, Japan
| | - Ryohei Nakano
- Graduate School of Agriculture, Kyoto University, Kizugawa City, Kyoto Prefecture 619-0218, Japan
| | - Tetsuya Nakazaki
- Graduate School of Agriculture, Kyoto University, Kizugawa City, Kyoto Prefecture 619-0218, Japan
| |
Collapse
|