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Vasisth P, Singh N, Limbalkar OM, Sharma M, Dhanasekaran G, Meena ML, Jain P, Jaiswal S, Iquebal MA, Watts A, Gaikwad KB, Singh R. Introgression of Heterotic Genomic Segments from Brassica carinata into Brassica juncea for Enhancing Productivity. PLANTS (BASEL, SWITZERLAND) 2023; 12:1677. [PMID: 37111905 PMCID: PMC10146992 DOI: 10.3390/plants12081677] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Revised: 03/18/2023] [Accepted: 04/11/2023] [Indexed: 06/19/2023]
Abstract
Interspecific hybridization resulted in the creation of B. juncea introgression lines (ILs) generated from B. carinata with increased productivity and adaptability. Forty ILs were crossed with their respective B. juncea recipient parents to generate introgression line hybrids (ILHs) and the common tester (SEJ 8) was used to generate test hybrids (THs). Mid-parent heterosis in ILHs and standard heterosis in THs were calculated for eight yield and yield-related traits. Heterotic genomic regions were dissected using ten ILs with significant mid-parent heterosis in ILHs and standard heterosis in THs for seed yield. A high level of heterosis for seed yield was contributed by 1000 seed weight (13.48%) in D31_ILHs and by total siliquae/plant (14.01%) and siliqua length (10.56%) in PM30_ILHs. The heterotic ILs of DRMRIJ 31 and Pusa Mustard 30 were examined using polymorphic SNPs between the parents, and a total of 254 and 335 introgressed heterotic segments were identified, respectively. This investigation discovered potential genes, viz., PUB10, glutathione S transferase, TT4, SGT, FLA3, AP2/ERF, SANT4, MYB, and UDP-glucosyl transferase 73B3 that were previously reported to regulate yield-related traits. The heterozygosity of the FLA3 gene significantly improved siliqua length and seeds per siliqua in ILHs of Pusa Mustard 30. This research proved that interspecific hybridization is an effective means of increasing the diversity of cultivated species by introducing new genetic variants and improving the level of heterosis.
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Affiliation(s)
- Prashant Vasisth
- Division of Genetics, Indian Council of Agricultural Research-Indian Agricultural Research Institute, New Delhi 110012, India
| | - Naveen Singh
- Division of Genetics, Indian Council of Agricultural Research-Indian Agricultural Research Institute, New Delhi 110012, India
| | - Omkar Maharudra Limbalkar
- Division of Genetics, Indian Council of Agricultural Research-Indian Agricultural Research Institute, New Delhi 110012, India
| | - Mohit Sharma
- Division of Genetics, Indian Council of Agricultural Research-Indian Agricultural Research Institute, New Delhi 110012, India
| | - Gokulan Dhanasekaran
- Division of Genetics, Indian Council of Agricultural Research-Indian Agricultural Research Institute, New Delhi 110012, India
| | - Mohan Lal Meena
- Division of Genetics, Indian Council of Agricultural Research-Indian Agricultural Research Institute, New Delhi 110012, India
| | - Priyanka Jain
- Division of Agricultural Bioinformatics, Indian Council of Agricultural Research-Indian Agricultural Statistics Research Institute, New Delhi 110012, India
| | - Sarika Jaiswal
- Division of Agricultural Bioinformatics, Indian Council of Agricultural Research-Indian Agricultural Statistics Research Institute, New Delhi 110012, India
| | - Mir Asif Iquebal
- Division of Agricultural Bioinformatics, Indian Council of Agricultural Research-Indian Agricultural Statistics Research Institute, New Delhi 110012, India
| | - Anshul Watts
- Indian Council of Agricultural Research-National Institute of Plant Biotechnology, New Delhi 110012, India
| | - Kiran B. Gaikwad
- Division of Genetics, Indian Council of Agricultural Research-Indian Agricultural Research Institute, New Delhi 110012, India
| | - Rajendra Singh
- Division of Genetics, Indian Council of Agricultural Research-Indian Agricultural Research Institute, New Delhi 110012, India
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Mathur S, Singh P, Yadava SK, Gupta V, Pradhan AK, Pental D. Genetic mapping of some key plant architecture traits in Brassica juncea using a doubled haploid population derived from a cross between two distinct lines: vegetable type Tumida and oleiferous Varuna. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:96. [PMID: 37017803 DOI: 10.1007/s00122-023-04321-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 02/09/2023] [Indexed: 06/19/2023]
Abstract
Genetic mapping of some key plant architectural traits in a vegetable type and an oleiferous B. juncea cross revealed QTL and candidate genes for breeding more productive ideotypes. Brassica juncea (AABB, 2n = 36), commonly called mustard, is an allopolyploid crop of recent origin but contains considerable morphological and genetic variation. An F1-derived doubled haploid population developed from a cross between an Indian oleiferous line, Varuna, and a Chinese stem type vegetable mustard, Tumida showed significant variability for some key plant architectural traits-four stem strength-related traits, stem diameter (Dia), plant height (Plht), branch initiation height (Bih), number of primary branches (Pbr), and days to flowering (Df). Multi-environment QTL analysis identified twenty Stable QTL for the above-mentioned nine plant architectural traits. Though Tumida is ill-adapted to the Indian growing conditions, it was found to contribute favorable alleles in Stable QTL for five architectural traits-press force, Dia, Plht, Bih, and Pbr; these QTL could be used to breed superior ideotypes in the oleiferous mustard lines. A QTL cluster on LG A10 contained Stable QTL for seven architectural traits that included major QTL (phenotypic variance ≥ 10%) for Df and Pbr, with Tumida contributing the trait-enhancing alleles for both. Since early flowering is critical for the cultivation of mustard in the Indian subcontinent, this QTL cannot be used for the improvement of Pbr in the Indian gene pool lines. Conditional QTL analysis for Pbr, however, identified other QTL which could be used for the improvement of Pbr without affecting Df. The Stable QTL intervals were mapped on the genome assemblies of Tumida and Varuna for the identification of candidate genes.
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Affiliation(s)
- Shikha Mathur
- Department of Genetics, University of Delhi South Campus, New Delhi, 110021, India
| | - Priyansha Singh
- Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, New Delhi, 110021, India
| | - Satish Kumar Yadava
- Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, New Delhi, 110021, India
| | - Vibha Gupta
- Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, New Delhi, 110021, India
| | - Akshay Kumar Pradhan
- Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, New Delhi, 110021, India
| | - Deepak Pental
- Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, New Delhi, 110021, India.
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Dhaka N, Jain R, Yadav A, Yadav P, Kumar N, Sharma MK, Sharma R. Transcriptome analysis reveals cell cycle-related transcripts as key determinants of varietal differences in seed size of Brassica juncea. Sci Rep 2022; 12:11713. [PMID: 35810218 PMCID: PMC9271088 DOI: 10.1038/s41598-022-15938-5] [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: 04/05/2022] [Accepted: 07/01/2022] [Indexed: 11/22/2022] Open
Abstract
Brassica juncea is an important oilseed crop, widely grown as a source of edible oil. Seed size is a pivotal agricultural trait in oilseed Brassicas. However, the regulatory mechanisms underlying seed size determination are poorly understood. To elucidate the transcriptional dynamics involved in the determination of seed size in B. juncea, we performed a comparative transcriptomic analysis using developing seeds of two varieties, small-seeded Early Heera2 (EH2) and bold-seeded Pusajaikisan (PJK), at three distinct stages (15, 30 and 45 days after pollination). We detected 112,550 transcripts, of which 27,186 and 19,522 were differentially expressed in the intra-variety comparisons and inter-variety comparisons, respectively. Functional analysis using pathway, gene ontology, and transcription factor enrichment revealed that cell cycle- and cell division-related transcripts stay upregulated during later stages of seed development in the bold-seeded variety but are downregulated at the same stage in the small-seeded variety, indicating that an extended period of cell proliferation in the later stages increased seed weight in PJK as compared to EH2. Further, k-means clustering and candidate genes-based analyses unravelled candidates for employing in seed size improvement of B. juncea. In addition, candidates involved in determining seed coat color, oil content, and other seed traits were also identified.
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Affiliation(s)
- Namrata Dhaka
- Department of Biotechnology, School of Interdisciplinary and Applied Sciences, Central University of Haryana, Mahendergarh, Haryana, India.
| | - Rubi Jain
- School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India
| | - Abhinandan Yadav
- Department of Biotechnology, School of Interdisciplinary and Applied Sciences, Central University of Haryana, Mahendergarh, Haryana, India
| | - Pinky Yadav
- Department of Biotechnology, School of Interdisciplinary and Applied Sciences, Central University of Haryana, Mahendergarh, Haryana, India
| | - Neeraj Kumar
- School of Biotechnology, Jawaharlal Nehru University, New Delhi, India
| | | | - Rita Sharma
- Department of Biological Sciences, Birla Institute of Technology and Science (BITS) Pilani, Pilani Campus, Pilani, Rajasthan, India
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Mathur S, Paritosh K, Tandon R, Pental D, Pradhan AK. Comparative Analysis of Seed Transcriptome and Coexpression Analysis Reveal Candidate Genes for Enhancing Seed Size/Weight in Brassica juncea. Front Genet 2022; 13:814486. [PMID: 35281836 PMCID: PMC8907137 DOI: 10.3389/fgene.2022.814486] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Accepted: 01/12/2022] [Indexed: 11/13/2022] Open
Abstract
Seed size/weight is a multigenic trait that is governed by complex transcriptional regulatory pathways. An understanding of the genetic basis of seed size is of great interest in the improvement of seed yield and quality in oilseed crops. A global transcriptome analysis was performed at the initial stages of seed development in two lines of Brassica juncea, small-seeded EH-2 and large-seeded PJ. The anatomical analyses revealed significant differences in cell number and cell size in the outer layer of the seed coat between EH-2 and PJ. Pairwise comparisons at each developmental stage identified 5,974 differentially expressed genes (DEGs) between the two lines, of which 954 genes belong to different families of transcription factors. Two modules were found to be significantly correlated with an increased seed size using weighted gene coexpression network analysis. The DEG and coexpression datasets were integrated with the thousand seed weight (Tsw) quantitative trait loci (QTL) mapped earlier in the EPJ (EH-2 × PJ) doubled haploid (DH) population, which identified forty potential key components controlling seed size. The candidate genes included genes regulating the cell cycle, cell wall biogenesis/modification, solute/sugar transport, and hormone signaling. The results provide a valuable resource to widen the current understanding of regulatory mechanisms underlying seed size in B. juncea.
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Affiliation(s)
- Shikha Mathur
- Department of Genetics, University of Delhi South Campus, New Delhi, India
| | - Kumar Paritosh
- Centre of Genetic Manipulation of Crop Plants, University of Delhi South Campus, New Delhi, India
| | - Rajesh Tandon
- Department of Botany, University of Delhi, New Delhi, India
| | - Deepak Pental
- Centre of Genetic Manipulation of Crop Plants, University of Delhi South Campus, New Delhi, India
| | - Akshay K. Pradhan
- Centre of Genetic Manipulation of Crop Plants, University of Delhi South Campus, New Delhi, India
- *Correspondence: Akshay K. Pradhan,
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Dhaka N, Sharma R. MicroRNA-mediated regulation of agronomically important seed traits: a treasure trove with shades of grey! Crit Rev Biotechnol 2021; 41:594-608. [PMID: 33682533 DOI: 10.1080/07388551.2021.1873238] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Seed development is an intricate process with multiple levels of regulation. MicroRNAs (miRNAs) have emerged as one of the crucial components of molecular networks underlying agronomically important seed traits in diverse plant species. In fact, loss of function of the genes regulating miRNA biogenesis also exhibits defects in seed development. A total of 21 different miRNAs have experimentally been shown to regulate seed size, nutritional content, vigor, and shattering, and have been reviewed here. The mechanism details of the associated regulatory cascades mediated through transcriptional regulators, phytohormones, basic metabolic machinery, and secondary siRNAs are elaborated. Co-localization of miRNAs and their target regions with seed-related QTLs provides new avenues for engineering these traits using conventional breeding programs or biotechnological interventions. While global analysis of miRNAs using small RNA sequencing studies are expanding the repertoire of candidate miRNAs, recent revelations on their inheritance, transport, and mechanism of action would be instrumental in designing better strategies for optimizing agronomically relevant seed traits.
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Affiliation(s)
- Namrata Dhaka
- Department of Biotechnology, School of Interdisciplinary and Applied Sciences, Central University of Haryana, Haryana, India.,Crop Genetics and Informatics Group, School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India
| | - Rita Sharma
- Crop Genetics and Informatics Group, School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India
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Paritosh K, Yadava SK, Singh P, Bhayana L, Mukhopadhyay A, Gupta V, Bisht NC, Zhang J, Kudrna DA, Copetti D, Wing RA, Reddy Lachagari VB, Pradhan AK, Pental D. A chromosome-scale assembly of allotetraploid Brassica juncea (AABB) elucidates comparative architecture of the A and B genomes. PLANT BIOTECHNOLOGY JOURNAL 2021; 19:602-614. [PMID: 33073461 PMCID: PMC7955877 DOI: 10.1111/pbi.13492] [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: 07/22/2020] [Revised: 09/14/2020] [Accepted: 09/27/2020] [Indexed: 05/19/2023]
Abstract
Brassica juncea (AABB), commonly referred to as mustard, is a natural allopolyploid of two diploid species-B. rapa (AA) and B. nigra (BB). We report a highly contiguous genome assembly of an oleiferous type of B. juncea variety Varuna, an archetypical Indian gene pool line of mustard, with ~100× PacBio single-molecule real-time (SMRT) long reads providing contigs with an N50 value of >5 Mb. Contigs were corrected for the misassemblies and scaffolded with BioNano optical mapping. We also assembled a draft genome of B. nigra (BB) variety Sangam using Illumina short-read sequencing and Oxford Nanopore long reads and used it to validate the assembly of the B genome of B. juncea. Two different linkage maps of B. juncea, containing a large number of genotyping-by-sequencing markers, were developed and used to anchor scaffolds/contigs to the 18 linkage groups of the species. The resulting chromosome-scale assembly of B. juncea Varuna is a significant improvement over the previous draft assembly of B. juncea Tumida, a vegetable type of mustard. The assembled genome was characterized for transposons, centromeric repeats, gene content and gene block associations. In comparison to the A genome, the B genome contains a significantly higher content of LTR/Gypsy retrotransposons, distinct centromeric repeats and a large number of B. nigra specific gene clusters that break the gene collinearity between the A and the B genomes. The B. juncea Varuna assembly will be of major value to the breeding work on oleiferous types of mustard that are grown extensively in south Asia and elsewhere.
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Affiliation(s)
- Kumar Paritosh
- Centre for Genetic Manipulation of Crop PlantsUniversity of Delhi South CampusNew DelhiIndia
| | - Satish Kumar Yadava
- Centre for Genetic Manipulation of Crop PlantsUniversity of Delhi South CampusNew DelhiIndia
| | - Priyansha Singh
- Department of GeneticsUniversity of Delhi South CampusNew DelhiIndia
| | - Latika Bhayana
- Department of GeneticsUniversity of Delhi South CampusNew DelhiIndia
| | - Arundhati Mukhopadhyay
- Centre for Genetic Manipulation of Crop PlantsUniversity of Delhi South CampusNew DelhiIndia
| | - Vibha Gupta
- Centre for Genetic Manipulation of Crop PlantsUniversity of Delhi South CampusNew DelhiIndia
| | | | - Jianwei Zhang
- Arizona Genomics InstituteSchool of Plant SciencesThe University of ArizonaTucsonAZUSA
| | - David A. Kudrna
- Arizona Genomics InstituteSchool of Plant SciencesThe University of ArizonaTucsonAZUSA
| | - Dario Copetti
- Arizona Genomics InstituteSchool of Plant SciencesThe University of ArizonaTucsonAZUSA
| | - Rod A. Wing
- Arizona Genomics InstituteSchool of Plant SciencesThe University of ArizonaTucsonAZUSA
| | | | - Akshay Kumar Pradhan
- Centre for Genetic Manipulation of Crop PlantsUniversity of Delhi South CampusNew DelhiIndia
- Department of GeneticsUniversity of Delhi South CampusNew DelhiIndia
| | - Deepak Pental
- Centre for Genetic Manipulation of Crop PlantsUniversity of Delhi South CampusNew DelhiIndia
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7
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Paritosh K, Yadava SK, Singh P, Bhayana L, Mukhopadhyay A, Gupta V, Bisht NC, Zhang J, Kudrna DA, Copetti D, Wing RA, Reddy Lachagari VB, Pradhan AK, Pental D. A chromosome-scale assembly of allotetraploid Brassica juncea (AABB) elucidates comparative architecture of the A and B genomes. PLANT BIOTECHNOLOGY JOURNAL 2021; 19:602-614. [PMID: 33073461 DOI: 10.1101/681080] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Revised: 09/14/2020] [Accepted: 09/27/2020] [Indexed: 05/23/2023]
Abstract
Brassica juncea (AABB), commonly referred to as mustard, is a natural allopolyploid of two diploid species-B. rapa (AA) and B. nigra (BB). We report a highly contiguous genome assembly of an oleiferous type of B. juncea variety Varuna, an archetypical Indian gene pool line of mustard, with ~100× PacBio single-molecule real-time (SMRT) long reads providing contigs with an N50 value of >5 Mb. Contigs were corrected for the misassemblies and scaffolded with BioNano optical mapping. We also assembled a draft genome of B. nigra (BB) variety Sangam using Illumina short-read sequencing and Oxford Nanopore long reads and used it to validate the assembly of the B genome of B. juncea. Two different linkage maps of B. juncea, containing a large number of genotyping-by-sequencing markers, were developed and used to anchor scaffolds/contigs to the 18 linkage groups of the species. The resulting chromosome-scale assembly of B. juncea Varuna is a significant improvement over the previous draft assembly of B. juncea Tumida, a vegetable type of mustard. The assembled genome was characterized for transposons, centromeric repeats, gene content and gene block associations. In comparison to the A genome, the B genome contains a significantly higher content of LTR/Gypsy retrotransposons, distinct centromeric repeats and a large number of B. nigra specific gene clusters that break the gene collinearity between the A and the B genomes. The B. juncea Varuna assembly will be of major value to the breeding work on oleiferous types of mustard that are grown extensively in south Asia and elsewhere.
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Affiliation(s)
- Kumar Paritosh
- Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, New Delhi, India
| | - Satish Kumar Yadava
- Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, New Delhi, India
| | - Priyansha Singh
- Department of Genetics, University of Delhi South Campus, New Delhi, India
| | - Latika Bhayana
- Department of Genetics, University of Delhi South Campus, New Delhi, India
| | - Arundhati Mukhopadhyay
- Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, New Delhi, India
| | - Vibha Gupta
- Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, New Delhi, India
| | | | - Jianwei Zhang
- Arizona Genomics Institute, School of Plant Sciences, The University of Arizona, Tucson, AZ, USA
| | - David A Kudrna
- Arizona Genomics Institute, School of Plant Sciences, The University of Arizona, Tucson, AZ, USA
| | - Dario Copetti
- Arizona Genomics Institute, School of Plant Sciences, The University of Arizona, Tucson, AZ, USA
| | - Rod A Wing
- Arizona Genomics Institute, School of Plant Sciences, The University of Arizona, Tucson, AZ, USA
| | | | - Akshay Kumar Pradhan
- Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, New Delhi, India
- Department of Genetics, University of Delhi South Campus, New Delhi, India
| | - Deepak Pental
- Centre for Genetic Manipulation of Crop Plants, University of Delhi South Campus, New Delhi, India
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Wang H, Yan M, Xiong M, Wang P, Liu Y, Xin Q, Wan L, Yang G, Hong D. Genetic dissection of thousand-seed weight and fine mapping of cqSW.A03-2 via linkage and association analysis in rapeseed (Brassica napus L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:1321-1335. [PMID: 32002584 DOI: 10.1007/s00122-020-03553-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Accepted: 01/23/2020] [Indexed: 06/10/2023]
Abstract
KEY MESSAGE: cqSW.A03-2, one of the six identified quantitative trait loci associated with thousand-seed weight in rapeseed, is mapped to a 61.6-kb region on chromosome A03 and corresponds to the candidate gene BnaA03G37960D. Seed weight is an important factor that determines the seed yield of oilseed rape (Brassica napus L.). To elucidate the genetic mechanism of thousand-seed weight (TSW), quantitative trait locus (QTL) mapping was conducted using a double haploid population derived from the cross between an elite line ZY50 and a pol cytoplasmic male sterility restorer line 7-5. The genetic basis of TSW was dissected into six major QTLs. One major QTL denoted as cqSW.A03-2, which explained 8.46-13.70% of the phenotypic variation, was detected across multiple environments. To uncover the genetic basis of cqSW.A03-2, a set of near-isogenic lines were developed. Based on the test of self-pollinated progenies, cqSW.A03-2 was identified as a single Mendelian factor and the ZY50 allele at cqSW.A03-2 showed a positive effect on TSW. Fine mapping delimited the cqSW.A03-2 locus into a 61.6-kb region, and 18 genes within this region were predicted. Candidate gene association analysis and expression analysis indicated that a histidine kinase gene (BnaA03G37960D) is likely to be the candidate gene for the cqSW.A03-2 locus. Our results may contribute to a better understanding of the molecular mechanism of seed weight regulation and promote the breeding program for yield improvement in rapeseed.
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Affiliation(s)
- Hao Wang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Min Yan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Mei Xiong
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Pengfei Wang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Ying Liu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
- Institute of Crops, Wuhan Academy of Agricultural Sciences, Wuhan, 430065, Hubei, China
| | - Qiang Xin
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Lili Wan
- Institute of Crops, Wuhan Academy of Agricultural Sciences, Wuhan, 430065, Hubei, China
| | - Guangsheng Yang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - Dengfeng Hong
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
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Sudan J, Singh R, Sharma S, Salgotra RK, Sharma V, Singh G, Sharma I, Sharma S, Gupta SK, Zargar SM. ddRAD sequencing-based identification of inter-genepool SNPs and association analysis in Brassica juncea. BMC PLANT BIOLOGY 2019; 19:594. [PMID: 31888485 PMCID: PMC6937933 DOI: 10.1186/s12870-019-2188-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Accepted: 12/05/2019] [Indexed: 05/12/2023]
Abstract
BACKGROUND Narrow genetic base, complex allo-tetraploid genome and presence of repetitive elements have led the discovery of single nucleotide polymorphisms (SNPs) in Brassica juncea (AABB; 2n = 4x = 36) at a slower pace. Double digest RAD (ddRAD) - a genome complexity reduction technique followed by NGS was used to generate a total of 23 million paired-end reads from three genotypes each of Indian (Pusa Tarak, RSPR-01 and Urvashi) and Exotic (Donskaja IV, Zem 1 and EC287711) genepools. RESULTS Sequence data analysis led to the identification of 10,399 SNPs in six genotypes at a read depth of 10x coverage among the genotypes of two genepools. A total of 44 hyper-variable regions (nucleotide variation hotspots) were also found in the genome, of which 93% were found to be a part of coding genes/regions. The functionality of the identified SNPs was estimated by genotyping a subset of SNPs on MassARRAY® platform among a diverse set of B. juncea genotypes. SNP genotyping-based genetic diversity and population studies placed the genotypes into two distinct clusters based mostly on the place of origin. The genotypes were also characterized for six morphological traits, analysis of which revealed a significant difference in the mean values between Indian and Exotic genepools for six traits. The association analysis for six traits identified a total of 45 significant marker-trait associations on 11 chromosomes of A- and B- group of progenitor genomes. CONCLUSIONS Despite narrow diversity, the ddRAD sequencing was able to identify large number of nucleotide polymorphisms between the two genepools. Association analysis led to the identification of common SNPs/genomic regions associated between flowering and maturity traits, thereby underscoring the possible role of common chromosomal regions-harboring genes controlling flowering and maturity in Brassica juncea.
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Affiliation(s)
- Jebi Sudan
- School of Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Jammu, J&K, India
- JECRC University- Jaipur, Jaipur, Rajasthan, India
| | - Ravinder Singh
- School of Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Jammu, J&K, India.
| | - Susheel Sharma
- School of Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Jammu, J&K, India
| | - Romesh K Salgotra
- School of Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Jammu, J&K, India
| | - Varun Sharma
- Human Genetics Research Group, School of Biotechnology, Shri Mata Vaishno Devi University, Katra, J&K, India
| | - Gurvinder Singh
- Human Genetics Research Group, School of Biotechnology, Shri Mata Vaishno Devi University, Katra, J&K, India
| | - Indu Sharma
- Human Genetics Research Group, School of Biotechnology, Shri Mata Vaishno Devi University, Katra, J&K, India
| | - Swarkar Sharma
- Human Genetics Research Group, School of Biotechnology, Shri Mata Vaishno Devi University, Katra, J&K, India
| | - Surinder K Gupta
- Division of Plant Breeding and Genetics, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Jaipur, J&K, India
| | - Sajad Majeed Zargar
- Division of Plant Biotechnology, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Jammu, J&K, India
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Yu M, Liu Z, Jiang S, Xu N, Chen Q, Qi Z, Lv W. QTL mapping and candidate gene mining for soybean seed weight per plant. BIOTECHNOL BIOTEC EQ 2018. [DOI: 10.1080/13102818.2018.1438851] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
Affiliation(s)
- Meng Yu
- College of Agriculture Department, Northeast Agricultural University, Harbin, Heilongjiang, PR China
| | - Zhangxiong Liu
- Institute of Crop Sciences Department, Chinese Academy of Agricultural Sciences, Beijing, PR China
| | - Shanshan Jiang
- College of Agriculture Department, Northeast Agricultural University, Harbin, Heilongjiang, PR China
| | - Ning Xu
- Heilongjiang Academy of Land Reclamation Sciences, Harbin, Heilongjiang, PR China
| | - Qingshan Chen
- College of Agriculture Department, Northeast Agricultural University, Harbin, Heilongjiang, PR China
| | - Zhaoming Qi
- College of Agriculture Department, Northeast Agricultural University, Harbin, Heilongjiang, PR China
| | - Wenhe Lv
- College of Agriculture Department, Northeast Agricultural University, Harbin, Heilongjiang, PR China
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Zhang W, Hu D, Raman R, Guo S, Wei Z, Shen X, Meng J, Raman H, Zou J. Investigation of the Genetic Diversity and Quantitative Trait Loci Accounting for Important Agronomic and Seed Quality Traits in Brassica carinata. FRONTIERS IN PLANT SCIENCE 2017; 8:615. [PMID: 28484482 PMCID: PMC5401912 DOI: 10.3389/fpls.2017.00615] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2017] [Accepted: 04/04/2017] [Indexed: 05/21/2023]
Abstract
Brassica carinata (BBCC) is an allotetraploid in Brassicas with unique alleles for agronomic traits and has huge potential as source for biodiesel production. To investigate the genome-wide molecular diversity, population structure and linkage disequilibrium (LD) pattern in this species, we genotyped a panel of 81 accessions of B. carinata with genotyping by sequencing approach DArTseq, generating a total of 54,510 polymorphic markers. Two subpopulations were exhibited in the B. carinata accessions. The average distance of LD decay (r2 = 0.1) in B subgenome (0.25 Mb) was shorter than that of C subgenome (0.40 Mb). Genome-wide association analysis (GWAS) identified a total of seven markers significantly associated with five seed quality traits in two experiments. To further identify the quantitative trait loci (QTL) for important agronomic and seed quality traits, we phenotyped a doubled haploid (DH) mapping population derived from the "YW" cross between two parents (Y-BcDH64 and W-BcDH76) representing from the two subpopulations. The YW DH population and its parents were grown in three contrasting environments; spring (Hezheng and Xining, China), semi-winter (Wuhan, China), and spring (Wagga Wagga, Australia) across 5 years for QTL mapping. Genetic bases of phenotypic variation in seed yield and its seven related traits, and six seed quality traits were determined. A total of 282 consensus QTL accounting for these traits were identified including nine major QTL for flowering time, oleic acid, linolenic acid, pod number of main inflorescence, and seed weight. Of these, 109 and 134 QTL were specific to spring and semi-winter environment, respectively, while 39 consensus QTL were identified in both contrasting environments. Two QTL identified for linolenic acid (B3) and erucic acid (C7) were validated in the diverse lines used for GWAS. A total of 25 QTL accounting for flowering time, erucic acid, and oleic acid were aligned to the homologous QTL or candidate gene regions in the C genome of B. napus. These results would not only provide insights for genetic improvement of this species, but will also identify useful genetic variation hidden in the Cc subgenome of B. carinata to improve canola cultivars.
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Affiliation(s)
- Wenshan Zhang
- National Key Laboratory of Crop Genetic Improvement, Key Laboratory of Rapeseed Genetic Improvement, Ministry of Agriculture China, Huazhong Agricultural UniversityWuhan, China
| | - Dandan Hu
- National Key Laboratory of Crop Genetic Improvement, Key Laboratory of Rapeseed Genetic Improvement, Ministry of Agriculture China, Huazhong Agricultural UniversityWuhan, China
| | - Rosy Raman
- Graham Centre for Agricultural Innovation (an Alliance between the Charles Sturt University and NSW Department of Primary Industries), Wagga Wagga Agricultural InstituteWagga Wagga, NSW, Australia
| | - Shaomin Guo
- National Key Laboratory of Crop Genetic Improvement, Key Laboratory of Rapeseed Genetic Improvement, Ministry of Agriculture China, Huazhong Agricultural UniversityWuhan, China
| | - Zili Wei
- National Key Laboratory of Crop Genetic Improvement, Key Laboratory of Rapeseed Genetic Improvement, Ministry of Agriculture China, Huazhong Agricultural UniversityWuhan, China
| | - Xueqi Shen
- National Key Laboratory of Crop Genetic Improvement, Key Laboratory of Rapeseed Genetic Improvement, Ministry of Agriculture China, Huazhong Agricultural UniversityWuhan, China
| | - Jinling Meng
- National Key Laboratory of Crop Genetic Improvement, Key Laboratory of Rapeseed Genetic Improvement, Ministry of Agriculture China, Huazhong Agricultural UniversityWuhan, China
| | - Harsh Raman
- Graham Centre for Agricultural Innovation (an Alliance between the Charles Sturt University and NSW Department of Primary Industries), Wagga Wagga Agricultural InstituteWagga Wagga, NSW, Australia
| | - Jun Zou
- National Key Laboratory of Crop Genetic Improvement, Key Laboratory of Rapeseed Genetic Improvement, Ministry of Agriculture China, Huazhong Agricultural UniversityWuhan, China
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