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Kovincic A, Markovic K, Ristic D, Babic V, Petrovic T, Zivanovic T, Kravic N. Efficiency of Biological Typing Methods in Maize Hybrid Genetic Purity Estimation. Genes (Basel) 2023; 14:1195. [PMID: 37372375 DOI: 10.3390/genes14061195] [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: 04/19/2023] [Revised: 05/22/2023] [Accepted: 05/23/2023] [Indexed: 06/29/2023] Open
Abstract
A high level of genetic purity in crop varieties must be achieved and maintained for agronomic performance, encouraging investment and innovation in plant breeding and ensuring that the improvements in productivity and quality imparted by breeders are delivered to the consumer. Since the success of hybrid seed production is dependent upon the genetic purity of the parental lines, in this study, the experimental F1exp maize hybrid and its parental inbreeds were used as a model system to examine the discriminative power of morphological, biochemical and SSR markers for seed purity assay. The highest number of off-type plants was estimated by morphological markers. According to the comparison of prolamins and albumins banding patterns of parental and derived F1exp seeds, genetic impurities could not be detected. Molecular analysis detected two types of genetic profile irregularity. Beside its use for verifying varieties of maize, report on umc1545 primer pair ability to detect non-specific bands (i.e., off-types), in both the maternal component and F1exp, which is the first report on this issue yet, strongly supports the recommendation of this SSR marker use for more accurate and time-efficient maize hybrids and parental lines genetic pyrity testing.
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Affiliation(s)
- Anika Kovincic
- Maize Research Institute Zemun Polje, Slobodana Bajica 1, 11185 Belgrade, Serbia
| | - Ksenija Markovic
- Maize Research Institute Zemun Polje, Slobodana Bajica 1, 11185 Belgrade, Serbia
| | - Danijela Ristic
- Maize Research Institute Zemun Polje, Slobodana Bajica 1, 11185 Belgrade, Serbia
| | - Vojka Babic
- Maize Research Institute Zemun Polje, Slobodana Bajica 1, 11185 Belgrade, Serbia
| | - Tanja Petrovic
- Maize Research Institute Zemun Polje, Slobodana Bajica 1, 11185 Belgrade, Serbia
| | - Tomislav Zivanovic
- Faculty of Agriculture, University of Belgrade, Nemanjina 6, 11080 Belgrade, Serbia
| | - Natalija Kravic
- Maize Research Institute Zemun Polje, Slobodana Bajica 1, 11185 Belgrade, Serbia
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Yu H, Shahid MQ, Li Q, Li Y, Li C, Lu Z, Wu J, Zhang Z, Liu X. Production Assessment and Genome Comparison Revealed High Yield Potential and Novel Specific Alleles Associated with Fertility and Yield in Neo-Tetraploid Rice. RICE (NEW YORK, N.Y.) 2020; 13:32. [PMID: 32494867 PMCID: PMC7271338 DOI: 10.1186/s12284-020-00387-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Accepted: 04/28/2020] [Indexed: 05/07/2023]
Abstract
BACKGROUND Neo-tetraploid rice (NTR) is a new tetraploid rice germplasm that developed from the crossing and directional selection of different autotetraploid rice lines, which showed high fertility and promising yield potential. However, systematic yield assessment, genome composition and functional variations associated with fertility and yield remain elusive. RESULTS Two season's field trials of 15 NTRs and 27 autotetraploid rice (ATR) lines revealed that the improvement of YPP (yield per plant, 4.45 g increase) were significantly associated with the increase of SS (seed setting, 29.44% increase), and yield and seed setting of NTRs improved significantly compared to parental lines. Whole genome resequencing of 13 NTR sister lines and their parents at about 48.63 depth were conducted and genome compositions were illustrated using inherited chromosomal blocks. Interestingly, 222 non-parental genes were detected between NTRs and their low fertility parental lines, which were conserved in 13 NTRs. These genes were overlapped with yield and fertility QTLs, and RNA-Seq analysis revealed that 81 of them were enriched in reproductive tissues. CRISPR/Cas9 gene knockout was conducted for 9 non-parental genes to validate their function. Knockout mutants showed on an average 25.63% and 4.88 g decrease in SS and YPP, respectively. Notably, some mutants showed interesting phenotypes, e.g., kin7l (kinesin motor gene) and kin14m (kinesin motor gene), bzr3 (BES1/BZR1 homolog) and nrfg4 (neo-tetraploid rice fertility related gene) exhibited 44.65%, 24.30%, 24.42% and 28.33% decrease in SS and 8.81 g, 4.71 g, 5.90 g, 6.22 g reduction in YPP, respectively. CONCLUSION Comparative genomics provides insights into genome composition of neo-tetraploid rice and the genes associated with fertility and yield will play important role to reveal molecular mechanisms for the improvement of tetraploid rice.
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Affiliation(s)
- Hang Yu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642 China
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, South China Agricultural University, Guangzhou, 510642 China
- College of Agriculture, South China Agricultural University, Guangzhou, 510642 China
| | - Muhammad Qasim Shahid
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642 China
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, South China Agricultural University, Guangzhou, 510642 China
- College of Agriculture, South China Agricultural University, Guangzhou, 510642 China
| | - Qihang Li
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642 China
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, South China Agricultural University, Guangzhou, 510642 China
- College of Agriculture, South China Agricultural University, Guangzhou, 510642 China
| | - Yudi Li
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642 China
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, South China Agricultural University, Guangzhou, 510642 China
- College of Agriculture, South China Agricultural University, Guangzhou, 510642 China
| | - Cong Li
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642 China
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, South China Agricultural University, Guangzhou, 510642 China
- College of Agriculture, South China Agricultural University, Guangzhou, 510642 China
| | - Zijun Lu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642 China
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, South China Agricultural University, Guangzhou, 510642 China
- College of Agriculture, South China Agricultural University, Guangzhou, 510642 China
| | - Jinwen Wu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642 China
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, South China Agricultural University, Guangzhou, 510642 China
- College of Agriculture, South China Agricultural University, Guangzhou, 510642 China
| | - Zemin Zhang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642 China
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, South China Agricultural University, Guangzhou, 510642 China
- College of Agriculture, South China Agricultural University, Guangzhou, 510642 China
| | - Xiangdong Liu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642 China
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, South China Agricultural University, Guangzhou, 510642 China
- College of Agriculture, South China Agricultural University, Guangzhou, 510642 China
- Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, 510642 China
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Ramekar RV, Sa KJ, Park KC, Roy N, Kim NS, Lee JK. Construction of genetic linkage map and identification of QTLs related to agronomic traits in maize using DNA transposon-based markers. BREEDING SCIENCE 2018; 68:465-473. [PMID: 30369821 PMCID: PMC6198908 DOI: 10.1270/jsbbs.18017] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Accepted: 06/14/2018] [Indexed: 06/08/2023]
Abstract
Transposable elements (TEs), are a rich source for molecular marker development as they constitute a significant fraction of the eukaryotic genome and impact the overall genome structure. Here, we utilize Mutator-based transposon display (Mu-TD), and CACTA-derived sequence-characterized amplified regions (SCAR) anchored by simple sequence repeats and single nucleotide polymorphisms to locate quantitative trait loci (QTLs) linked to agriculturally important traits on a genetic map. Specifically, we studied recombinant inbred line populations derived from a cross between dent corn and waxy corn. The resulting linkage map included 259 Mu-anchored fragments, 34 SCARs, and 614 SSR markers distributed throughout the ten maize chromosomes. Linkage analysis revealed three SNP loci associated with kernel starch synthesis genes (sh2, su1, wx1) linked to either Mu-TD loci or SSR markers, which may be useful for maize breeding programs. In addition, we used QTL analysis to determine the chromosomal location of traits related to grain yield and kernel quality. We identified 24 QTLs associated with nine traits located on nine out of ten maize chromosomes. Among these, 13 QTLs involved Mu loci and two involved SCARs. This study demonstrates the potential use of DNA transposon-based markers to construct linkage maps and identify QTLs linked to agronomic traits.
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Affiliation(s)
- Rahul Vasudeo Ramekar
- Department of Applied Plant Sciences, College of Agriculture and Life Sciences, Kangwon National University,
Chuncheon, 24341,
Korea
| | - Kyu Jin Sa
- Department of Applied Plant Sciences, College of Agriculture and Life Sciences, Kangwon National University,
Chuncheon, 24341,
Korea
| | - Kyong-Cheul Park
- Department of Agriculture and Life Industry, Kangwon National University,
Chuncheon, 24341,
Korea
| | - Neha Roy
- Department of Molecular Bioscience, Institute of Bioscience and Biotechnology, Kangwon National University,
Chuncheon, 24341,
Korea
| | - Nam-Soo Kim
- Department of Molecular Bioscience, Institute of Bioscience and Biotechnology, Kangwon National University,
Chuncheon, 24341,
Korea
| | - Ju Kyong Lee
- Department of Applied Plant Sciences, College of Agriculture and Life Sciences, Kangwon National University,
Chuncheon, 24341,
Korea
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