1
|
Shivaprasad KM, Aski M, Mishra GP, Sinha SK, Gupta S, Mishra DC, Singh AK, Singh A, Tripathi K, Kumar RR, Kumar A, Kumar S, Dikshit HK. Genome-wide discovery of InDels and validation of PCR-Based InDel markers for earliness in a RIL population and genotypes of lentil (Lens culinaris Medik.). PLoS One 2024; 19:e0302870. [PMID: 38776345 PMCID: PMC11111061 DOI: 10.1371/journal.pone.0302870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 04/15/2024] [Indexed: 05/24/2024] Open
Abstract
The systematic identification of insertion/deletion (InDel) length polymorphisms from the entire lentil genome can be used to map the quantitative trait loci (QTL) and also for the marker-assisted selection (MAS) for various linked traits. The InDels were identified by comparing the whole-genome resequencing (WGRS) data of two extreme bulks (early- and late-flowering bulk) and a parental genotype (Globe Mutant) of lentil. The bulks were made by pooling 20 extreme recombinant inbred lines (RILs) each, derived by crossing Globe Mutant (late flowering parent) with L4775 (early flowering parent). Finally, 734,716 novel InDels were identified, which is nearly one InDel per 5,096 bp of lentil genome. Furthermore, 74.94% of InDels were within the intergenic region and 99.45% displayed modifier effects. Of these, 15,732 had insertions or deletions of 20 bp or more, making them amenable to the development of PCR-based markers. An InDel marker I-SP-356.6 (chr. 3; position 356,687,623; positioned 174.5 Kb from the LcFRI gene) was identified as having a phenotypic variance explained (PVE) value of 47.7% for earliness when validated in a RIL population. Thus, I-SP-356.6 marker can be deployed in MAS to facilitate the transfer of the earliness trait to other elite late-maturing cultivars. Two InDel markers viz., I-SP-356.6 and I-SP-383.9 (chr. 3; linked to LcELF3a gene) when tested in 9 lentil genotypes differing for maturity duration, clearly distinguished three early (L4775, ILL7663, Precoz) and four late genotypes (Globe Mutant, MFX, L4602, L830). However, these InDels could not be validated in two genotypes (L4717, L4727), suggesting either absence of polymorphism and/or presence of other loci causing earliness. The identified InDel markers can act as valuable tools for MAS for the development of early maturing lentil varieties.
Collapse
Affiliation(s)
- K. M. Shivaprasad
- Division of Genetics, Indian Agricultural Research Institute, New Delhi, India
- Indian Council of Forestry Research and Education-Institute of Forest Biodiversity, Hyderabad, India
| | - Muraleedhar Aski
- Division of Genetics, Indian Agricultural Research Institute, New Delhi, India
| | - Gyan Prakash Mishra
- Division of Genetics, Indian Agricultural Research Institute, New Delhi, India
| | - Subodh Kumar Sinha
- Indian Council of Agricultural Research-National Institute for Plant Biotechnology, New Delhi, India
| | - Soma Gupta
- Division of Genetics, Indian Agricultural Research Institute, New Delhi, India
| | | | - Amit Kumar Singh
- Division of Genomic Resources, National Bureau of Plant Genetic Resources, New Delhi, India
| | - Akanksha Singh
- South Asia and China Program, International Center for Agricultural Research in the Dry Areas, National Agriculture Science Complex, New Delhi, India
| | - Kuldeep Tripathi
- Germplasm Evaluation Division, National Bureau of Plant Genetic Resources, New Delhi, India
| | - Ranjeet Ranjan Kumar
- Division of Biochemistry, Indian Agricultural Research Institute, New Delhi, India
| | - Atul Kumar
- Division of Seed Science and Technology, Indian Agricultural Research Institute, New Delhi, India
| | - Shiv Kumar
- South Asia and China Program, International Center for Agricultural Research in the Dry Areas, National Agriculture Science Complex, New Delhi, India
| | - Harsh K. Dikshit
- Division of Genetics, Indian Agricultural Research Institute, New Delhi, India
| |
Collapse
|
2
|
Wang J, Wang E, Cheng S, Ma A. Identification of molecular markers and candidate regions associated with grain number per spike in Pubing3228 using SLAF-BSA. FRONTIERS IN PLANT SCIENCE 2024; 15:1361621. [PMID: 38504905 PMCID: PMC10948542 DOI: 10.3389/fpls.2024.1361621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Accepted: 01/30/2024] [Indexed: 03/21/2024]
Abstract
Grain number per spike, a pivotal agronomic trait dictating wheat yield, lacks a comprehensive understanding of its underlying mechanism in Pubing3228, despite the identification of certain pertinent genes. Thus, our investigation sought to ascertain molecular markers and candidate regions associated with grain number per spike through a high-density genetic mapping approach that amalgamates site-specific amplified fragment sequencing (SLAF-seq) and bulked segregation analysis (BSA). To facilitate this, we conducted a comparative analysis of two wheat germplasms, Pubing3228 and Jing4839, known to exhibit marked discrepancies in spike shape. By leveraging this methodology, we successfully procured 2,810,474 SLAF tags, subsequently resulting in the identification of 187,489 single nucleotide polymorphisms (SNPs) between the parental strains. We subsequently employed the SNP-index association algorithm alongside the extended distribution (ED) association algorithm to detect regions associated with the trait. The former algorithm identified 24 trait-associated regions, whereas the latter yielded 70. Remarkably, the intersection of these two algorithms led to the identification of 25 trait-associated regions. Amongst these regions, we identified 399 annotated genes, including three genes harboring non-synonymous mutant SNP loci. Notably, the APETALA2 (AP2) transcription factor families, which exhibited a strong correlation with spike type, were also annotated. Given these findings, it is plausible to hypothesize that these genes play a critical role in determining spike shape. In summation, our study contributes significant insights into the genetic foundation of grain number per spike. The molecular markers and candidate regions we have identified can be readily employed for marker-assisted breeding endeavors, ultimately leading to the development of novel wheat cultivars possessing enhanced yield potential. Furthermore, conducting further functional analyses on the identified genes will undoubtedly facilitate a comprehensive elucidation of the underlying mechanisms governing spike development in wheat.
Collapse
Affiliation(s)
- Jiansheng Wang
- College of Chemistry and Environment Engineering, Pingdingshan University, Pingdingshan, Henan, China
- Henan Key Laboratory of Germplasm Innovation and Utilization of Eco-economic Woody Plant, Pingdingshan, Henan, China
| | - Erwei Wang
- Pingdingshan Academy of Agricultural Science, Pingdingshan, Henan, China
| | - Shiping Cheng
- College of Chemistry and Environment Engineering, Pingdingshan University, Pingdingshan, Henan, China
- Henan Key Laboratory of Germplasm Innovation and Utilization of Eco-economic Woody Plant, Pingdingshan, Henan, China
| | - Aichu Ma
- Pingdingshan Academy of Agricultural Science, Pingdingshan, Henan, China
| |
Collapse
|
3
|
Wang D, Zhou Q, Le L, Fu F, Wang G, Cao F, Yang X. Molecular Characterization and Genetic Diversity of Ginkgo ( Ginkgo biloba L.) Based on Insertions and Deletions (InDel) Markers. PLANTS (BASEL, SWITZERLAND) 2023; 12:2567. [PMID: 37447128 DOI: 10.3390/plants12132567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 06/27/2023] [Accepted: 07/04/2023] [Indexed: 07/15/2023]
Abstract
As a "living fossil", ginkgo (Ginkgo biloba L.) has significant ornamental, medicinal, and timber value. However, the breeding improvement of ginkgo was limited by the lack of enough excellent germplasms and suitable molecular markers. Here, we characterized numerous polymorphic insertion/deletion (InDel) markers using RAD-seq in 12 different ginkgo cultivars. The total of 279,534 InDels identified were unequally distributed across 12 chromosomes in the ginkgo genome. Of these, 52.56% (146,919) and 47.44% (132,615) were attributed to insertions and deletions, respectively. After random selection and validation, 26 pairs of polymorphic primers were used for molecular diversity analysis in 87 ginkgo cultivars and clones. The average values of observed heterozygosity and polymorphism information were 0.625 and 0.517, respectively. The results of population structure analyses were similar to those of neighbor-joining and principal component analyses, which divided all germplasms into two distinct groups. Moreover, 11 ginkgo core collections accounted for approximately 12.64% of the total ginkgo germplasms obtained, representing well the allelic diversity of all original germplasms. Therefore, these InDels can be used for germplasm management and genetic diversity analyses in ginkgo and the core collections will be used effectively for ginkgo genetic improvement.
Collapse
Affiliation(s)
- Dan Wang
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
| | - Qi Zhou
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
| | - Linlin Le
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
| | - Fangfang Fu
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
| | - Guibin Wang
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
| | - Fuliang Cao
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
| | - Xiaoming Yang
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
| |
Collapse
|
4
|
Liu Z, Zhao Y, Zhang Y, Xu L, Zhou L, Yang W, Zhao H, Zhao J, Wang F. Development of Omni InDel and supporting database for maize. FRONTIERS IN PLANT SCIENCE 2023; 14:1216505. [PMID: 37457340 PMCID: PMC10344896 DOI: 10.3389/fpls.2023.1216505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 06/12/2023] [Indexed: 07/18/2023]
Abstract
Insertions-deletions (InDels) are the second most abundant molecular marker in the genome and have been widely used in molecular biology research along with simple sequence repeats (SSR) and single-nucleotide polymorphisms (SNP). However, InDel variant mining and marker development usually focuses on a single type of dimorphic InDel, which does not reflect the overall InDel diversity across the genome. Here, we developed Omni InDels for maize, soybean, and rice based on sequencing data and genome assembly that included InDel variants with base lengths from 1 bp to several Mb, and we conducted a detailed classification of Omni InDels. Moreover, we screened a set of InDels that are easily detected and typed (Perfect InDels) from the Omni InDels, verified the site authenticity using 3,587 germplasm resources from 11 groups, and analyzed the germplasm resources. Furthermore, we developed a Multi-InDel set based on the Omni InDels; each Multi-InDel contains multiple InDels, which greatly increases site polymorphism, they can be detected in multiple platforms such as fluorescent capillary electrophoresis and sequencing. Finally, we developed an online database website to make Omni InDels easy to use and share and developed a visual browsing function called "Variant viewer" for all Omni InDel sites to better display the variant distribution.
Collapse
Affiliation(s)
- Zhihao Liu
- Key Laboratory of Crop DNA Fingerprinting Innovation and Utilization (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Beijing Academy of Agricultural and Forest Sciences (BAAFS), Beijing, China
- College of Agriculture, Jilin Agricultural University, Changchun, China
| | - Yikun Zhao
- Key Laboratory of Crop DNA Fingerprinting Innovation and Utilization (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Beijing Academy of Agricultural and Forest Sciences (BAAFS), Beijing, China
| | - Yunlong Zhang
- Key Laboratory of Crop DNA Fingerprinting Innovation and Utilization (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Beijing Academy of Agricultural and Forest Sciences (BAAFS), Beijing, China
| | - Liwen Xu
- Key Laboratory of Crop DNA Fingerprinting Innovation and Utilization (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Beijing Academy of Agricultural and Forest Sciences (BAAFS), Beijing, China
| | - Ling Zhou
- Provincial Key Laboratory of Agrobiology, Institute of Crop Germplasm and Biotechnology, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China
| | - Weiguang Yang
- College of Agriculture, Jilin Agricultural University, Changchun, China
| | - Han Zhao
- Provincial Key Laboratory of Agrobiology, Institute of Crop Germplasm and Biotechnology, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China
| | - Jiuran Zhao
- Key Laboratory of Crop DNA Fingerprinting Innovation and Utilization (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Beijing Academy of Agricultural and Forest Sciences (BAAFS), Beijing, China
| | - Fengge Wang
- Key Laboratory of Crop DNA Fingerprinting Innovation and Utilization (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Beijing Academy of Agricultural and Forest Sciences (BAAFS), Beijing, China
| |
Collapse
|
5
|
Thakro V, Malik N, Basu U, Srivastava R, Narnoliya L, Daware A, Varshney N, Mohanty JK, Bajaj D, Dwivedi V, Tripathi S, Jha UC, Dixit GP, Singh AK, Tyagi AK, Upadhyaya HD, Parida SK. A superior gene allele involved in abscisic acid signaling enhances drought tolerance and yield in chickpea. PLANT PHYSIOLOGY 2023; 191:1884-1912. [PMID: 36477336 PMCID: PMC10022645 DOI: 10.1093/plphys/kiac550] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 10/15/2022] [Indexed: 06/17/2023]
Abstract
Identifying potential molecular tags for drought tolerance is essential for achieving higher crop productivity under drought stress. We employed an integrated genomics-assisted breeding and functional genomics strategy involving association mapping, fine mapping, map-based cloning, molecular haplotyping and transcript profiling in the introgression lines (ILs)- and near isogenic lines (NILs)-based association panel and mapping population of chickpea (Cicer arietinum). This combinatorial approach delineated a bHLH (basic helix-loop-helix) transcription factor, CabHLH10 (Cicer arietinum bHLH10) underlying a major QTL, along with its derived natural alleles/haplotypes governing yield traits under drought stress in chickpea. CabHLH10 binds to a cis-regulatory G-box promoter element to modulate the expression of RD22 (responsive to desiccation 22), a drought/abscisic acid (ABA)-responsive gene (via a trans-expression QTL), and two strong yield-enhancement photosynthetic efficiency (PE) genes. This, in turn, upregulates other downstream drought-responsive and ABA signaling genes, as well as yield-enhancing PE genes, thus increasing plant adaptation to drought with reduced yield penalty. We showed that a superior allele of CabHLH10 introgressed into the NILs improved root and shoot biomass and PE, thereby enhancing yield and productivity during drought without compromising agronomic performance. Furthermore, overexpression of CabHLH10 in chickpea and Arabidopsis (Arabidopsis thaliana) conferred enhanced drought tolerance by improving root and shoot agro-morphological traits. These findings facilitate translational genomics for crop improvement and the development of genetically tailored, climate-resilient, high-yielding chickpea cultivars.
Collapse
Affiliation(s)
- Virevol Thakro
- Genomics-assisted Breeding and Crop Improvement Laboratory, National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Naveen Malik
- Genomics-assisted Breeding and Crop Improvement Laboratory, National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
- Amity Institute of Biotechnology, Amity University Rajasthan, Jaipur 303002, India
| | - Udita Basu
- Genomics-assisted Breeding and Crop Improvement Laboratory, National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Rishi Srivastava
- Genomics-assisted Breeding and Crop Improvement Laboratory, National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Laxmi Narnoliya
- Genomics-assisted Breeding and Crop Improvement Laboratory, National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Anurag Daware
- Genomics-assisted Breeding and Crop Improvement Laboratory, National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Nidhi Varshney
- Genomics-assisted Breeding and Crop Improvement Laboratory, National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Jitendra K Mohanty
- Genomics-assisted Breeding and Crop Improvement Laboratory, National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Deepak Bajaj
- Genomics-assisted Breeding and Crop Improvement Laboratory, National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Vikas Dwivedi
- Genomics-assisted Breeding and Crop Improvement Laboratory, National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Shailesh Tripathi
- Division of Genetics, Indian Agricultural Research Institute (IARI), New Delhi 110012, India
| | - Uday Chand Jha
- Crop Improvement Division, Indian Institute of Pulses Research (IIPR), Kanpur 208024, India
| | - Girish Prasad Dixit
- Crop Improvement Division, Indian Institute of Pulses Research (IIPR), Kanpur 208024, India
| | - Ashok K Singh
- Division of Genetics, Indian Agricultural Research Institute (IARI), New Delhi 110012, India
| | - Akhilesh K Tyagi
- Genomics-assisted Breeding and Crop Improvement Laboratory, National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
- Department of Plant Molecular Biology, University of Delhi, South Campus, New Delhi 110021, India
| | | | | |
Collapse
|
6
|
Zhang Y, Shi J, Shen C, To VT, Shi Q, Ye L, Shi J, Zhang D, Chen W. Discovery of DNA polymorphisms via genome-resequencing and development of molecular markers between two barley cultivars. PLANT CELL REPORTS 2022; 41:2279-2292. [PMID: 36209436 DOI: 10.1007/s00299-022-02920-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Accepted: 08/11/2022] [Indexed: 06/16/2023]
Abstract
Genome resequencing uncovers genome-wide DNA polymorphisms that are useful for the development of high-density InDel markers between two barley cultivars. Discovering genomic variations and developing genetic markers are crucial for genetics studies and molecular breeding in cereal crops. Although InDels (insertions and deletions) have become popular because of their abundance and ease of detection, discovery of genome-wide DNA polymorphisms and development of InDel markers in barley have lagged behind other cereal crops such as rice, maize and wheat. In this study, we re-sequenced two barley cultivars, Golden Promise (GP, a classic British spring barley variety) and Hua30 (a Chinese spring barley variety), and mapped clean reads to the reference Morex genome, and identified in total 13,933,145 single nucleotide polymorphisms (SNPs) and 1,240,456 InDels for GP with Morex, 11,297,100 SNPs and 781,687 InDels for Hua30 with Morex, and 13,742,399 SNPs and 1,191,597 InDels for GP with Hua30. We further characterized distinct types, chromosomal distribution patterns, genome location, functional effect, and other features of these DNA polymorphisms. Additionally, we revealed the functional relevance of these identified SNPs/InDels regarding different flowering times between Hua30 and GP within 17 flowering time genes. Furthermore, we developed a series of InDel markers and validated them experimentally in 43 barley core accessions, respectively. Finally, we rebuilt population structure and phylogenetic tree of these 43 barley core accessions. Collectively, all of these genetic resources will facilitate not only the basic research but also applied research in barley.
Collapse
Affiliation(s)
- Yueya Zhang
- Joint International Research Laboratory of Metabolic and Developmental Sciences, State Key Laboratory of Hybrid Rice, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Jin Shi
- Joint International Research Laboratory of Metabolic and Developmental Sciences, State Key Laboratory of Hybrid Rice, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Chaoqun Shen
- Joint International Research Laboratory of Metabolic and Developmental Sciences, State Key Laboratory of Hybrid Rice, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Vinh-Trieu To
- Joint International Research Laboratory of Metabolic and Developmental Sciences, State Key Laboratory of Hybrid Rice, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Qi Shi
- Joint International Research Laboratory of Metabolic and Developmental Sciences, State Key Laboratory of Hybrid Rice, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Lingzhen Ye
- Institute of Crop Science, Zhejiang University, Hangzhou, 310058, China
| | - Jianxin Shi
- Joint International Research Laboratory of Metabolic and Developmental Sciences, State Key Laboratory of Hybrid Rice, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Dabing Zhang
- Joint International Research Laboratory of Metabolic and Developmental Sciences, State Key Laboratory of Hybrid Rice, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
- School of Agriculture, Food, and Wine, University of Adelaide, Adelaide, South Australia, 5064, Australia.
| | - Weiwei Chen
- School of Agriculture, Food, and Wine, University of Adelaide, Adelaide, South Australia, 5064, Australia.
| |
Collapse
|
7
|
Pan Z, Zhang J, Bai S, Li Z, Tong C. InDelGT: An integrated pipeline for extracting indel genotypes for genetic mapping in a hybrid population using next-generation sequencing data. APPLICATIONS IN PLANT SCIENCES 2022; 10:e11499. [PMID: 36518944 PMCID: PMC9742820 DOI: 10.1002/aps3.11499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 03/04/2022] [Accepted: 05/25/2022] [Indexed: 06/17/2023]
Abstract
PREMISE Although several software packages are available for genotyping insertion/deletion (indel) polymorphisms in genomes using next-generation sequencing data, simultaneously calling indel genotypes across many individuals for use in genetic mapping remains challenging. METHODS AND RESULTS We present an integrated pipeline, InDelGT, for the extraction of indel genotypes from a segregating population such as backcross or F2 lines, or from an F1 cross between outbred species. The InDelGT algorithm is implemented in three steps: generating an indel catalog, calling indel genotypes, and analyzing indel segregation. We demonstrated the use of the pipeline with an example data set from an F1 hybrid population of Populus and successfully constructed the two parental genetic linkage maps. CONCLUSIONS InDelGT is a practical tool that can quickly genotype a large number of indel markers within a population following Mendelian segregation. The InDelGT pipeline is freely available on GitHub (https://github.com/tongchf/InDelGT).
Collapse
Affiliation(s)
- Zhiliang Pan
- Co‐Innovation Center for Sustainable Forestry in Southern China, College of ForestryNanjing Forestry UniversityNanjing210037China
| | - Jinpeng Zhang
- Co‐Innovation Center for Sustainable Forestry in Southern China, College of ForestryNanjing Forestry UniversityNanjing210037China
| | - Shengjun Bai
- Co‐Innovation Center for Sustainable Forestry in Southern China, College of ForestryNanjing Forestry UniversityNanjing210037China
| | - Zhiting Li
- Co‐Innovation Center for Sustainable Forestry in Southern China, College of ForestryNanjing Forestry UniversityNanjing210037China
| | - Chunfa Tong
- Co‐Innovation Center for Sustainable Forestry in Southern China, College of ForestryNanjing Forestry UniversityNanjing210037China
| |
Collapse
|
8
|
Long W, Li Y, Yuan Z, Luo L, Luo L, Xu W, Cai Y, Xie H. Development of InDel markers for Oryza sativa ssp. javanica based on whole-genome resequencing. PLoS One 2022; 17:e0274418. [PMID: 36215240 PMCID: PMC9550083 DOI: 10.1371/journal.pone.0274418] [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: 12/03/2021] [Accepted: 08/30/2022] [Indexed: 11/07/2022] Open
Abstract
Oryza sativa ssp. javanica rice varieties exhibit a wide variation in the phenotypes of several important agronomic traits, including grain quality, grain shape, plant architecture, disease resistance, and high adaption to an unfavorable environment, indicating a great potential for rice improvement. DNA molecular markers are basic and critical tools in genetic analysis and gene mining. However, only a few whole-genome variation analyses have been performed in Oryza sativa ssp. Javanica (tropical japonica rice), and this has hampered the utilization of such an important resource. In this study, the length of insertions/deletions variation greater larger than 10 bp from 10 Oryza sativa ssp. indica rice and 10 Oryza sativa ssp. tropical japonica rice were extracted by using the Nipponbare genome as a reference. A total of 118 primer pairs which were almost evenly distributed on each chromosome corresponding to the loci of InDels were designed by the Primer 5 program. We confirmed 85 InDel markers from 60 rice varieties, including indica and tropical japonica, by running polyacrylamide gels. The InDel markers function like SSRs in identifying hybrids, calculating genetic distance, constructing the genetic linkage map, and gene mining. The InDel markers developed in this study might help in genetic studies and to investigate the tropical japonica rice varieties.
Collapse
Affiliation(s)
- Weixiong Long
- Jiangxi Super-rice Research and Development Center, Jiangxi Academy of Agricultural Sciences, National Engineering Laboratory for Rice, Nanchang, China
| | - Yonghui Li
- Jiangxi Super-rice Research and Development Center, Jiangxi Academy of Agricultural Sciences, National Engineering Laboratory for Rice, Nanchang, China
| | - Zhengqing Yuan
- State key Laboratory of Hybrid Rice, Wuhan University, Wuhan, China
| | - Lihua Luo
- Jiangxi Super-rice Research and Development Center, Jiangxi Academy of Agricultural Sciences, National Engineering Laboratory for Rice, Nanchang, China
| | - Laiyang Luo
- Jiangxi Super-rice Research and Development Center, Jiangxi Academy of Agricultural Sciences, National Engineering Laboratory for Rice, Nanchang, China
| | - Weibiao Xu
- Jiangxi Super-rice Research and Development Center, Jiangxi Academy of Agricultural Sciences, National Engineering Laboratory for Rice, Nanchang, China
| | - Yaohui Cai
- Jiangxi Super-rice Research and Development Center, Jiangxi Academy of Agricultural Sciences, National Engineering Laboratory for Rice, Nanchang, China
| | - Hongwei Xie
- Jiangxi Super-rice Research and Development Center, Jiangxi Academy of Agricultural Sciences, National Engineering Laboratory for Rice, Nanchang, China,* E-mail:
| |
Collapse
|
9
|
Ye W, Yang Y, Wang P, Zhang Y, Zhang L, Tian D, Zhang L, Zhang L, Zhou B. InDel marker development and QTL analysis of agronomic traits in mung bean [ Vigna radiate (L.) Wilczek]. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2021; 41:66. [PMID: 37309317 PMCID: PMC10236061 DOI: 10.1007/s11032-021-01233-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 05/11/2021] [Indexed: 06/14/2023]
Abstract
The stem color of young mung bean is a very useful tool in germplasm identification. Flowering time and plant height (PH) are known to be strongly correlated with crop adaption and yield. However, few studies have focused on elucidating the genetic mechanisms that regulate these five particular traits: young stem color (YSC), days to first flowering (DFF), days to maturity (DM), PH, and nodes on the main stem (NMS). In this study, a genetic linkage map for the F2 population was constructed using 129 InDel markers that were developed based on the sequence variations between parents. A total of 14 QTLs related to YSC, DFF, DM, PH, and NMS were detected. These QTLs were distributed on six chromosomes (1, 3, 4, 6, 7, and 10), which individually accounted for 1.32 to 90.07% of the total phenotypic variation. Using a short and high-density linkage map for the F3 population, six of the seven QTLs which clustered at two intervals on chromosomes 3 and 10 were detected again. Further analysis found that four QTLs between InDel markers R3-15 and R3-19 controlled DFF, DM, PH, and NMS, and each QTL accounted for a large percent of the total phenotypic variation. Analysis of two separated F2:3 lines also found that the phenotype was highly corresponded to its genotype which was between R3-15 and R3-19. Phenotype and genotype analysis for 30 mung bean accessions showed that the major effect QTL qDFF3 was a key regulator for DFF. Using a map-based cloning method, the major effect QTL qYSC4 for YSC was mapped in a 347 Kb interval on chromosome 4. Candidate gene analysis showed that sequence variations and expression level differences existed in the predicted candidate gene between the parents. These results provide a theoretical basis for cloning these QTLs and marker-assisted selection. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-021-01233-0.
Collapse
Affiliation(s)
- Weijun Ye
- Crop Research Institute, Anhui Academy of Agricultural Sciences, Hefei, 230000 Anhui China
- Anhui Province Key Laboratory of Crop Quality Improvement, Hefei, 230000 Anhui China
| | - Yong Yang
- Crop Research Institute, Anhui Academy of Agricultural Sciences, Hefei, 230000 Anhui China
| | - Peiran Wang
- Crop Research Institute, Anhui Academy of Agricultural Sciences, Hefei, 230000 Anhui China
| | - Yin Zhang
- Crop Research Institute, Anhui Academy of Agricultural Sciences, Hefei, 230000 Anhui China
| | - Liya Zhang
- Crop Research Institute, Anhui Academy of Agricultural Sciences, Hefei, 230000 Anhui China
| | - Dongfeng Tian
- Crop Research Institute, Anhui Academy of Agricultural Sciences, Hefei, 230000 Anhui China
| | - Lei Zhang
- Crop Research Institute, Anhui Academy of Agricultural Sciences, Hefei, 230000 Anhui China
| | - Lingling Zhang
- Crop Research Institute, Anhui Academy of Agricultural Sciences, Hefei, 230000 Anhui China
| | - Bin Zhou
- Crop Research Institute, Anhui Academy of Agricultural Sciences, Hefei, 230000 Anhui China
| |
Collapse
|
10
|
Soil pathogen, Fusarium oxysporum induced wilt disease in chickpea: a review on its dynamicity and possible control strategies. PROCEEDINGS OF THE INDIAN NATIONAL SCIENCE ACADEMY 2021. [DOI: 10.1007/s43538-021-00030-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
|
11
|
Wu CC, Chang SH, Tung CW, Ho CK, Gogorcena Y, Chu FH. Identification of hybridization and introgression between Cinnamomum kanehirae Hayata and C. camphora (L.) Presl using genotyping-by-sequencing. Sci Rep 2020; 10:15995. [PMID: 32994441 PMCID: PMC7525239 DOI: 10.1038/s41598-020-72775-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Accepted: 08/31/2020] [Indexed: 11/13/2022] Open
Abstract
Cinnamomum kanehirae Hayata and C. camphora (L.) Presl are important tree species in eastern Asia. The wood of C. kanehirae is in increasing demand for culturing Antrodia cinnamomea, a medicinal fungus that naturally grows inside the trunk of C. kanehirae. Putative hybrids between C. kanehirae and C. camphora were previously reported but with no scientific evidence, leading to confusion or misplanting. First, to identify the female parent of putative hybrids, the maternal inheritance InDel (insertion/deletion) markers were developed by using low-coverage sequencing. SNPs were developed by using genotyping-by-sequencing (GBS) approach in C. kanehirae, C. camphora and putative hybrids. The results indicated that the female parent of the studied hybrids was C. camphora. Eight hundred and forty of the 529,006 high-density SNPs were selected and used for analysis. Hybrids were classified as F1 (C. kanehirae × C. camphora), F2 and backcrosses. Hybridization has occurred in the human-developed area of eastern and southwestern Taiwan, and the introgression was bidirectional. For producing pure wood, buffering zones should be established around seed orchards to avoid cross-species pollination and to preserve the genetic purity of C. kanehirae. The DNA markers developed in this study will also be valuable for further wood identification, breeding and evolutionary research.
Collapse
Affiliation(s)
- Chia-Chen Wu
- Silviculture Division, Taiwan Forestry Research Institute, Council of Agriculture, Executive Yuan, Taipei, Taiwan.,School of Forestry and Resource Conservation, National Taiwan University, Taipei, Taiwan
| | - Shu-Hwa Chang
- Silviculture Division, Taiwan Forestry Research Institute, Council of Agriculture, Executive Yuan, Taipei, Taiwan
| | - Chih-Wei Tung
- Department of Agronomy, National Taiwan University, Taipei, Taiwan
| | - Cheng-Kuen Ho
- Silviculture Division, Taiwan Forestry Research Institute, Council of Agriculture, Executive Yuan, Taipei, Taiwan
| | - Yolanda Gogorcena
- Laboratory of Genomics, Genetics and Breeding of Fruit Trees and Grapevines, Experimental Station of Aula Dei-CSIC, Zaragoza, Spain
| | - Fang-Hua Chu
- School of Forestry and Resource Conservation, National Taiwan University, Taipei, Taiwan.
| |
Collapse
|
12
|
Liang S, Lin F, Qian Y, Zhang T, Wu Y, Qi Y, Ren S, Ruan L, Zhao H. A cost-effective barcode system for maize genetic discrimination based on bi-allelic InDel markers. PLANT METHODS 2020; 16:101. [PMID: 32742299 PMCID: PMC7391534 DOI: 10.1186/s13007-020-00644-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2020] [Accepted: 07/22/2020] [Indexed: 05/19/2023]
Abstract
BACKGROUND Maize is one of the most important cereal crop all over the world with a complex genome of about 2.3 gigabase, and exhibits tremendous phenotypic and molecular diversity among different germplasms. Along with the phenotype identification, molecular markers have been accepted extensively as an alternative tool to discriminate different genotypes. RESULTS By using previous re-sequencing data of 205 lines, bi-allelic insertions and deletions (InDels) all over maize genome were screened, and a barcode system was constructed consisting of 37 bi-allelic insertion-deletion markers with high polymorphism information content (PIC) values, large discriminative size among varieties. The barcode system was measured and determined, different maize hybrids and inbreds were clearly discriminated efficiently with these markers, and hybrids responding parents were accurately determined. Compared with microarray data of more than 200 maize lines, the barcode system can discriminate maize varieties with 1.57% of different loci as a threshold. The barcode system can be used in standardized easy and quick operation with very low cost and minimum equipment requirements. CONCLUSION A barcode system was constructed for genetic discrimination of maize lines, including 37 InDel markers with high PIC values and user-friendly. The barcode system was measured and determined for efficient identification of maize lines.
Collapse
Affiliation(s)
- Shuaiqiang Liang
- Provincial Key Laboratory of Agrobiology, Institute of Crop Germplasm and Biotechnology, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Feng Lin
- Provincial Key Laboratory of Agrobiology, Institute of Crop Germplasm and Biotechnology, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Yiliang Qian
- Anhui Academy of Agricultural Sciences, Hefei, China
| | - Tifu Zhang
- Provincial Key Laboratory of Agrobiology, Institute of Crop Germplasm and Biotechnology, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Yibo Wu
- Provincial Key Laboratory of Agrobiology, Institute of Crop Germplasm and Biotechnology, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Yaocheng Qi
- Anhui Academy of Agricultural Sciences, Hefei, China
| | - Sihai Ren
- Anhui Academy of Agricultural Sciences, Hefei, China
| | - Long Ruan
- Anhui Academy of Agricultural Sciences, Hefei, China
| | - Han Zhao
- Provincial Key Laboratory of Agrobiology, Institute of Crop Germplasm and Biotechnology, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| |
Collapse
|
13
|
Genomic Analysis of Vavilov's Historic Chickpea Landraces Reveals Footprints of Environmental and Human Selection. Int J Mol Sci 2020; 21:ijms21113952. [PMID: 32486400 PMCID: PMC7313079 DOI: 10.3390/ijms21113952] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2020] [Revised: 05/28/2020] [Accepted: 05/28/2020] [Indexed: 12/17/2022] Open
Abstract
A defining challenge of the 21st century is meeting the nutritional demands of the growing human population, under a scenario of limited land and water resources and under the specter of climate change. The Vavilov seed bank contains numerous landraces collected nearly a hundred years ago, and thus may contain ‘genetic gems’ with the potential to enhance modern breeding efforts. Here, we analyze 407 landraces, sampled from major historic centers of chickpea cultivation and secondary diversification. Genome-Wide Association Studies (GWAS) conducted on both phenotypic traits and bioclimatic variables at landraces sampling sites as extended phenotypes resulted in 84 GWAS hits associated to various regions. The novel haploblock-based test identified haploblocks enriched for single nucleotide polymorphisms (SNPs) associated with phenotypes and bioclimatic variables. Subsequent bi-clustering of traits sharing enriched haploblocks underscored both non-random distribution of SNPs among several haploblocks and their association with multiple traits. We hypothesize that these clusters of pleiotropic SNPs represent co-adapted genetic complexes to a range of environmental conditions that chickpea experienced during domestication and subsequent geographic radiation. Linking genetic variation to phenotypic data and a wealth of historic information preserved in historic seed banks are the keys for genome-based and environment-informed breeding intensification.
Collapse
|
14
|
Chen M, Yan H, Wang K, Cui Y, Chen R, Liu J, Zhu H, Qu L, Pan C. Goat SPEF2: Expression profile, indel variants identification and association analysis with litter size. Theriogenology 2019; 139:147-155. [DOI: 10.1016/j.theriogenology.2019.08.007] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Revised: 08/04/2019] [Accepted: 08/04/2019] [Indexed: 01/04/2023]
|
15
|
IDSSR: An Efficient Pipeline for Identifying Polymorphic Microsatellites from a Single Genome Sequence. Int J Mol Sci 2019; 20:ijms20143497. [PMID: 31315288 PMCID: PMC6678329 DOI: 10.3390/ijms20143497] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Revised: 06/25/2019] [Accepted: 07/15/2019] [Indexed: 12/02/2022] Open
Abstract
Simple sequence repeats (SSRs) are known as microsatellites, and consist of tandem 1–6-base motifs. They have become one of the most popular molecular markers, and are widely used in molecular ecology, conservation biology, molecular breeding, and many other fields. Previously reported methods identify monomorphic and polymorphic SSRs and determine the polymorphic SSRs via experimental validation, which is potentially time-consuming and costly. Herein, we present a new strategy named insertion/deletion (INDEL) SSR (IDSSR) to identify polymorphic SSRs by integrating SSRs with nucleotide insertions/deletions (INDEL) solely based on a single genome sequence and the sequenced pair-end reads. These INDEL indexes and polymorphic SSRs were identified, as well as the number of repeats, repeat motifs, chromosome location, annealing temperature, and primer sequences, enabling future experimental approaches to determine the correctness and polymorphism. Experimental validation with the giant panda demonstrated that our method has high reliability and stability. The efficient SSR pipeline would help researchers obtain high-quality genetic markers for plants and animals of interest, save labor, and reduce costly marker-screening experiments. IDSSR is freely available at https://github.com/Allsummerking/IDSSR.
Collapse
|
16
|
Ortega R, Hecht VFG, Freeman JS, Rubio J, Carrasquilla-Garcia N, Mir RR, Penmetsa RV, Cook DR, Millan T, Weller JL. Altered Expression of an FT Cluster Underlies a Major Locus Controlling Domestication-Related Changes to Chickpea Phenology and Growth Habit. FRONTIERS IN PLANT SCIENCE 2019; 10:824. [PMID: 31333691 PMCID: PMC6616154 DOI: 10.3389/fpls.2019.00824] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Accepted: 06/07/2019] [Indexed: 05/20/2023]
Abstract
Flowering time is a key trait in breeding and crop evolution, due to its importance for adaptation to different environments and for yield. In the particular case of chickpea, selection for early phenology was essential for the successful transition of this species from a winter to a summer crop. Here, we used genetic and expression analyses in two different inbred populations to examine the genetic control of domestication-related differences in flowering time and growth habit between domesticated chickpea and its wild progenitor Cicer reticulatum. A single major quantitative trait locus for flowering time under short-day conditions [Days To Flower (DTF)3A] was mapped to a 59-gene interval on chromosome three containing a cluster of three FT genes, which collectively showed upregulated expression in domesticated relative to wild parent lines. An equally strong association with growth habit suggests a pleiotropic effect of the region on both traits. These results indicate the likely molecular explanation for the characteristic early flowering of domesticated chickpea, and the previously described growth habit locus Hg. More generally, they point to de-repression of this specific gene cluster as a conserved mechanism for achieving adaptive early phenology in temperate legumes.
Collapse
Affiliation(s)
- Raul Ortega
- School of Natural Sciences, University of Tasmania, Hobart, TAS, Australia
| | | | - Jules S. Freeman
- School of Natural Sciences, University of Tasmania, Hobart, TAS, Australia
- Scion, Rotorua, New Zealand
| | - Josefa Rubio
- E. Genomica y Biotecnologia, Instituto Andaluz de Investigación y Formación Agraria y Pesquera (IFAPA), Córdoba, Spain
| | | | - Reyazul Rouf Mir
- Department of Plant Pathology, University of California, Davis, Davis, CA, United States
- Division of Genetics and Plant Breeding, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Srinagar, India
| | - R. Varma Penmetsa
- Department of Plant Pathology, University of California, Davis, Davis, CA, United States
- Department of Plant Sciences, University of California, Davis, Davis, CA, United States
| | - Douglas R. Cook
- Department of Plant Pathology, University of California, Davis, Davis, CA, United States
| | - Teresa Millan
- Department of Genetics ETSIAM, University of Córdoba, Córdoba, Spain
| | - James L. Weller
- School of Natural Sciences, University of Tasmania, Hobart, TAS, Australia
| |
Collapse
|
17
|
Basu U, Upadhyaya HD, Srivastava R, Daware A, Malik N, Sharma A, Bajaj D, Narnoliya L, Thakro V, Kujur A, Tripathi S, Bharadwaj C, Hegde VS, Pandey AK, Singh AK, Tyagi AK, Parida SK. ABC Transporter-Mediated Transport of Glutathione Conjugates Enhances Seed Yield and Quality in Chickpea. PLANT PHYSIOLOGY 2019; 180:253-275. [PMID: 30737266 PMCID: PMC6501113 DOI: 10.1104/pp.18.00934] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Accepted: 12/12/2018] [Indexed: 05/28/2023]
Abstract
The identification of functionally relevant molecular tags is vital for genomics-assisted crop improvement and enhancement of seed yield, quality, and productivity in chickpea (Cicer arietinum). The simultaneous improvement of yield/productivity as well as quality traits often requires pyramiding of multiple genes, which remains a major hurdle given various associated epistatic and pleotropic effects. Unfortunately, no single gene that can improve yield/productivity along with quality and other desirable agromorphological traits is known, hampering the genetic enhancement of chickpea. Using a combinatorial genomics-assisted breeding and functional genomics strategy, this study identified natural alleles and haplotypes of an ABCC3-type transporter gene that regulates seed weight, an important domestication trait, by transcriptional regulation and modulation of the transport of glutathione conjugates in seeds of desi and kabuli chickpea. The superior allele/haplotype of this gene introgressed in desi and kabuli near-isogenic lines enhances the seed weight, yield, productivity, and multiple desirable plant architecture and seed-quality traits without compromising agronomic performance. These salient findings can expedite crop improvement endeavors and the development of nutritionally enriched high-yielding cultivars in chickpea.
Collapse
Affiliation(s)
- Udita Basu
- Genomics-assisted Breeding and Crop Improvement Laboratory, National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Hari D Upadhyaya
- International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502324, Telangana, India
| | - Rishi Srivastava
- Genomics-assisted Breeding and Crop Improvement Laboratory, National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Anurag Daware
- Genomics-assisted Breeding and Crop Improvement Laboratory, National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Naveen Malik
- Genomics-assisted Breeding and Crop Improvement Laboratory, National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Akash Sharma
- Genomics-assisted Breeding and Crop Improvement Laboratory, National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Deepak Bajaj
- Genomics-assisted Breeding and Crop Improvement Laboratory, National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Laxmi Narnoliya
- Genomics-assisted Breeding and Crop Improvement Laboratory, National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Virevol Thakro
- Genomics-assisted Breeding and Crop Improvement Laboratory, National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Alice Kujur
- Genomics-assisted Breeding and Crop Improvement Laboratory, National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Shailesh Tripathi
- Division of Genetics, Indian Agricultural Research Institute, New Delhi 110012, India
| | - Chellapilla Bharadwaj
- Division of Genetics, Indian Agricultural Research Institute, New Delhi 110012, India
| | - V S Hegde
- Division of Genetics, Indian Agricultural Research Institute, New Delhi 110012, India
| | - Ajay K Pandey
- National Agri-Food Biotechnology Institute, Mohali 140306, Punjab, India
| | - Ashok K Singh
- Division of Genetics, Indian Agricultural Research Institute, New Delhi 110012, India
| | - Akhilesh K Tyagi
- Genomics-assisted Breeding and Crop Improvement Laboratory, National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi 110067, India
- Department of Plant Molecular Biology, University of Delhi, South Campus, New Delhi 110021, India
| | - Swarup K Parida
- Genomics-assisted Breeding and Crop Improvement Laboratory, National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi 110067, India
| |
Collapse
|
18
|
Jain A, Roorkiwal M, Kale S, Garg V, Yadala R, Varshney RK. InDel markers: An extended marker resource for molecular breeding in chickpea. PLoS One 2019; 14:e0213999. [PMID: 30883592 PMCID: PMC6422259 DOI: 10.1371/journal.pone.0213999] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Accepted: 03/05/2019] [Indexed: 12/03/2022] Open
Abstract
Chickpea is one of the most important food legumes that holds the key to meet rising global food and nutritional demand. In order to deploy molecular breeding approaches in crop improvement programs, user friendly and cost effective marker resources remain prerequisite. The advent of next generation sequencing (NGS) technology has resulted in the generation of several thousands of markers as part of several large scale genome sequencing and re-sequencing initiatives. Very recently, PCR based Insertion-deletions (InDels) are becoming a popular gel based genotyping solution because of their co-dominant, inexpensive, and highly polymorphic nature. With an objective to expand marker resources for genomics assisted breeding (GAB) in chickpea, whole genome re-sequencing data generated on five parental lines of one interspecific (ICC 4958 × PI 489777) and two intra-specific (ICC 283 × ICC 8261 and ICC 4958 × ICC 1882) mapping populations, were used for identification of InDels. A total of 231,658 InDels were identified using Dindel software with default parameters. Further, a total of 8,307 InDels with ≥20 bp size were selected for development of gel based markers, of which primers could be designed for 7,523 (90.56%) markers. On average, markers appeared at a frequency of 1,038 InDels/LG with a maximum number of markers on CaLG04 (1,952 InDels) and minimum on CaLG08 (360 InDels). In order to validate these InDels, a total of 423 primer pairs were randomly selected and tested on the selected parental lines. A high amplification rate of 80% was observed ranging from 46.06 to 58.01% polymorphism rate across parents on 3% agarose gel. This study clearly reflects the usefulness of available sequence data for the development of genome-wide InDels in chickpea that can further contribute and accelerate a wide range of genetic and molecular breeding activities in chickpea.
Collapse
Affiliation(s)
- Ankit Jain
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Manish Roorkiwal
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
- * E-mail: (RKV); (MR)
| | - Sandip Kale
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
- Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung (IPK), Gatersleben, Germany
| | - Vanika Garg
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Ramakrishna Yadala
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Rajeev K. Varshney
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
- * E-mail: (RKV); (MR)
| |
Collapse
|
19
|
Marques A, Moraes L, Aparecida Dos Santos M, Costa I, Costa L, Nunes T, Melo N, Simon MF, Leitch AR, Almeida C, Souza G. Origin and parental genome characterization of the allotetraploid Stylosanthes scabra Vogel (Papilionoideae, Leguminosae), an important legume pasture crop. ANNALS OF BOTANY 2018; 122:1143-1159. [PMID: 29982475 PMCID: PMC6324754 DOI: 10.1093/aob/mcy113] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2018] [Accepted: 06/28/2018] [Indexed: 05/04/2023]
Abstract
BACKGROUNDS AND AIMS The genus Stylosanthes includes nitrogen-fixing and drought-tolerant species of considerable economic importance for perennial pasture, green manure and land recovery. Stylosanthes scabra is adapted to variable soil conditions, being cultivated to improve pastures and soils worldwide. Previous studies have proposed S. scabra as an allotetraploid species (2n = 40) with a putative diploid A genome progenitor S. hamata or S. seabrana (2n = 20) and the B genome progenitor S. viscosa (2n = 20). We aimed to provide conclusive evidence for the origin of S. scabra. METHODS We performed fluorescence in situ hybridization (FISH) and genomic in situ hybridization (GISH) experiments and Illumina paired-end sequencing of S. scabra, S. hamata and S. viscosa genomic DNA, to assemble and compare complete ribosomal DNA (rDNA) units and chloroplast genomes. Plastome- and genome-wide single nucleotide variation detection was also performed. KEY RESULTS GISH and phylogenetic analyses of plastid DNA and rDNA sequences support that S. scabra is an allotetraploid formed from 0.63 to 0.52 million years ago (Mya), from progenitors with a similar genome structure to the maternal donor S. hamata and the paternal donor S. viscosa. FISH revealed a non-additive number of 35S rDNA sites in S. scabra compared with its progenitors, indicating the loss of one locus from A genome origin. In S. scabra, most 5S rDNA units were similar to S. viscosa, while one 5S rDNA site of reduced size most probably came from an A genome species as revealed by GISH and in silico analysis. CONCLUSIONS Our approach combined whole-plastome and rDNA assembly with additional cytogenetic analysis to shed light successfully on the allotetraploid origin of S. scabra. We propose a Middle Pleistocene origin for S. scabra involving species with maternal A and paternal B genomes. Our data also suggest that variation found in rDNA units in S. scabra and its progenitors reveals differences that can be explained by homogenization, deletion and amplification processes that have occurred since its origin.
Collapse
Affiliation(s)
- André Marques
- Laboratory of Genetic Resources, Federal University of Alagoas, Arapiraca, AL, Brazil
| | - Lívia Moraes
- Laboratory of Plant Cytogenetics and Evolution, Department of Botany, Federal University of Pernambuco, Recife, Brazil
| | | | - Iara Costa
- Laboratory of Genetic Resources, Federal University of Alagoas, Arapiraca, AL, Brazil
| | - Lucas Costa
- Laboratory of Plant Cytogenetics and Evolution, Department of Botany, Federal University of Pernambuco, Recife, Brazil
| | - Tomáz Nunes
- Laboratory of Genetic Resources, Federal University of Alagoas, Arapiraca, AL, Brazil
| | - Natoniel Melo
- Laboratory of Biotechnology, Embrapa Semi-arid, Petrolina, Brazil
| | | | | | - Cicero Almeida
- Laboratory of Genetic Resources, Federal University of Alagoas, Arapiraca, AL, Brazil
| | - Gustavo Souza
- Laboratory of Plant Cytogenetics and Evolution, Department of Botany, Federal University of Pernambuco, Recife, Brazil
| |
Collapse
|
20
|
Basu U, Srivastava R, Bajaj D, Thakro V, Daware A, Malik N, Upadhyaya HD, Parida SK. Genome-wide generation and genotyping of informative SNPs to scan molecular signatures for seed yield in chickpea. Sci Rep 2018; 8:13240. [PMID: 30185866 PMCID: PMC6125345 DOI: 10.1038/s41598-018-29926-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2017] [Accepted: 06/18/2018] [Indexed: 01/21/2023] Open
Abstract
We discovered 2150 desi and 2199 kabuli accessions-derived SNPs by cultivar-wise individual assembling of sequence-reads generated through genotyping-by-sequencing of 92 chickpea accessions. Subsequent large-scale validation and genotyping of these SNPs discovered 619 desi accessions-derived (DAD) SNPs, 531 kabuli accessions-derived (KAD) SNPs, 884 multiple accessions-derived (MAD) SNPs and 1083 two accessions (desi ICC 4958 and kabuli CDC Frontier)-derived (TAD) SNPs that were mapped on eight chromosomes. These informative SNPs were annotated in coding/non-coding regulatory sequence components of genes. The MAD-SNPs were efficient to detect high intra-specific polymorphic potential and wide natural allelic diversity level including high-resolution admixed-population genetic structure and precise phylogenetic relationship among 291 desi and kabuli accessions. This signifies their effectiveness in introgression breeding and varietal improvement studies targeting useful agronomic traits of chickpea. Six trait-associated genes with SNPs including quantitative trait nucleotides (QTNs) in combination explained 27.5% phenotypic variation for seed yield per plant (SYP). A pentatricopeptide repeat (PPR) gene with a synonymous-coding SNP/QTN significantly associated with SYP trait was found most-promising in chickpea. The essential information delineated can be of immense utility in genomics-assisted breeding applications to develop high-yielding chickpea cultivars.
Collapse
Affiliation(s)
- Udita Basu
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Rishi Srivastava
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Deepak Bajaj
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Virevol Thakro
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Anurag Daware
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Naveen Malik
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India
| | - Hari D Upadhyaya
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, 502324, Telangana, India
| | - Swarup K Parida
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi, 110067, India.
| |
Collapse
|
21
|
Ramakrishna G, Kaur P, Nigam D, Chaduvula PK, Yadav S, Talukdar A, Singh NK, Gaikwad K. Genome-wide identification and characterization of InDels and SNPs in Glycine max and Glycine soja for contrasting seed permeability traits. BMC PLANT BIOLOGY 2018; 18:141. [PMID: 29986650 PMCID: PMC6038289 DOI: 10.1186/s12870-018-1341-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2017] [Accepted: 06/05/2018] [Indexed: 05/03/2023]
Abstract
BACKGROUND Water permeability governed by seed coat is a major facet of seed crops, especially soybean, whose seeds lack physiological dormancy and experience rapid deterioration in seed viability under prolonged storage. Moreover, the physiological and chemical characteristics of soybean seeds are known to vary with seed coat color. Thus, to underpin the genes controlling water permeability in soybean seeds, we carried out an in-depth characterization of the associated genomic variation. RESULTS In the present study, we have analyzed genomic variation between cultivated soybean and its wild progenitor with implications on seed permeability, a trait related to seed storability. Whole genome resequencing of G.max and G. soja, identified SNPs and InDels which were further characterized on the basis of their genomic location and impact on gene expression. Chromosomal density distribution of the variation was assessed across the genome and genes carrying SNPs and InDels were characterized into different metabolic pathways. Seed hardiness is a complex trait that is affected by the allelic constitution of a genetic locus as well as by a tricky web of plant hormone interactions. Seven genes that hold a probable role in the determination of seed permeability were selected and their expression differences at different stages of water imbibition were analyzed. Variant interaction network derived 205 downstream interacting partners of 7 genes confirmed their role in seed related traits. Interestingly, genes encoding for Type I- Inositol polyphosphate 5 phosphatase1 and E3 Ubiquitin ligase could differentiate parental genotypes, revealed protein conformational deformations and were found to segregate among RILs in coherence with their permeability scores. The 2 identified genes, thus showed a preliminary association with the desirable permeability characteristics. CONCLUSION In the light of above outcomes, 2 genes were identified that revealed preliminary, but a relevant association with soybean seed permeability trait and hence could serve as a primary material for understanding the molecular pathways controlling seed permeability traits in soybean.
Collapse
Affiliation(s)
- G. Ramakrishna
- ICAR- National Research Centre on Plant Biotechnology, Pusa Campus, New Delhi, 110012 India
| | - Parampreet Kaur
- ICAR- National Research Centre on Plant Biotechnology, Pusa Campus, New Delhi, 110012 India
| | - Deepti Nigam
- ICAR- National Research Centre on Plant Biotechnology, Pusa Campus, New Delhi, 110012 India
| | - Pavan K. Chaduvula
- ICAR- National Research Centre on Plant Biotechnology, Pusa Campus, New Delhi, 110012 India
| | - Sangita Yadav
- ICAR- IARI, Division of Seed Science and Technology, Pusa Campus, New Delhi, 110012 India
| | - Akshay Talukdar
- ICAR- IARI, Division of Genetics, Pusa Campus, New Delhi, India
| | - Nagendra Kumar Singh
- ICAR- National Research Centre on Plant Biotechnology, Pusa Campus, New Delhi, 110012 India
| | - Kishor Gaikwad
- ICAR- National Research Centre on Plant Biotechnology, Pusa Campus, New Delhi, 110012 India
| |
Collapse
|
22
|
A set of 14 DIP-SNP markers to detect unbalanced DNA mixtures. Biochem Biophys Res Commun 2018; 497:591-596. [PMID: 29448110 DOI: 10.1016/j.bbrc.2018.02.109] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2018] [Accepted: 02/11/2018] [Indexed: 11/22/2022]
Abstract
Unbalanced DNA mixture is still a difficult problem for forensic practice. DIP-STRs are useful markers for detection of minor DNA but they are not widespread in the human genome and having long amplicons. In this study, we proposed a novel type of genetic marker, termed DIP-SNP. DIP-SNP refers to the combination of INDEL and SNP in less than 300bp length of human genome. The multiplex PCR and SNaPshot assay were established for 14 DIP-SNP markers in a Chinese Han population from Shanxi, China. This novel compound marker allows detection of the minor DNA contributor with sensitivity from 1:50 to 1:1000 in a DNA mixture of any gender with 1 ng-10 ng DNA template. Most of the DIP-SNP markers had a relatively high probability of informative alleles with an average I value of 0.33. In all, we proposed DIP-SNP as a novel kind of genetic marker for detection of minor contributor from unbalanced DNA mixture and established the detection method by associating the multiplex PCR and SNaPshot assay. DIP-SNP polymorphisms are promising markers for forensic or clinical mixture examination because they are shorter, widespread and higher sensitive.
Collapse
|
23
|
Millán T, Madrid E, Castro P, Gil J, Rubio J. Genetic Mapping and Quantitative Trait Loci. ACTA ACUST UNITED AC 2018. [DOI: 10.1007/978-3-319-66117-9_8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
|
24
|
Sahu PK, Mondal S, Sharma D, Vishwakarma G, Kumar V, Das BK. InDel marker based genetic differentiation and genetic diversity in traditional rice (Oryza sativa L.) landraces of Chhattisgarh, India. PLoS One 2017; 12:e0188864. [PMID: 29190790 PMCID: PMC5708757 DOI: 10.1371/journal.pone.0188864] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2017] [Accepted: 11/14/2017] [Indexed: 11/28/2022] Open
Abstract
Rice has been cultivating and utilizing by humans for thousands of years under diverse environmental conditions. Therefore, tremendous genetic differentiation and diversity has occurred at various agro-ecosystems. The significant indica–japonica differentiation in rice provides great opportunities for its genetic improvement. In the present investigation, a total of 42 polymorphic InDel markers were used for differentiating 188 rice landraces and two local varieties of Chhattisgarh, India into indica and japonica related genotypes based on ‘InDel molecular index’. Frequency of japonica alleles varied from 0.11 to 0.89 among landraces. Results revealed that 104 rice landraces have indica type genetic architecture along with three tested indica cultivars Swarna, Mahamaya and Rajeshwari. Another 60 landraces were placed under ‘close to indica’ type. It was found that three rice landraces i.e. Kalajeera, Kapri, Tulsimala were ‘close to japonica’ type and 21 landraces were ‘intermediate’ type. The result from the calculation of ‘InDel molecular index’ was further verified with STRUCTURE, AMOVA, PCA and cluster analysis. Population structure analysis revealed two genetically distinct populations within the 190 rice landraces/genotypes. Based on AMOVA, ‘intermediate’ type, ‘close to japonica’ type and Dongjinbyeo (a japonica cultivar from Republic of Korea) displayed significant genetic differentiation (ɸPT = 0.642, P = 0.000) from ‘indica’ and ‘close to indica’ groups. The PCA scatter plot and dendrogram demonstrated a clear pattern of two major group differentiations. ‘Close to japonica’ type and ‘intermediate’ type landraces/genotypes were grouped with Dongjinbyeo and formed a separate cluster at 30% Jaccard’s similarity level from rest of the landraces/genotypes which were ‘close to indica’ or ‘indica’ type. Such a significant genetic differentiation among the locally adapted landraces could be exploited for the development of rice varieties introgressing higher yield potential and better plant types of japonica type as per the need of consumers and rice traders.
Collapse
Affiliation(s)
- Parmeshwar Kumar Sahu
- Department of Genetics and Plant Breeding, Indira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh, India
| | - Suvendu Mondal
- Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Trombay, Mumbai, India
- * E-mail: (SM); (DS)
| | - Deepak Sharma
- Department of Genetics and Plant Breeding, Indira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh, India
- * E-mail: (SM); (DS)
| | - Gautam Vishwakarma
- Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Trombay, Mumbai, India
| | - Vikash Kumar
- Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Trombay, Mumbai, India
| | - Bikram Kishore Das
- Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Trombay, Mumbai, India
| |
Collapse
|
25
|
Srivastava R, Upadhyaya HD, Kumar R, Daware A, Basu U, Shimray PW, Tripathi S, Bharadwaj C, Tyagi AK, Parida SK. A Multiple QTL-Seq Strategy Delineates Potential Genomic Loci Governing Flowering Time in Chickpea. FRONTIERS IN PLANT SCIENCE 2017; 8:1105. [PMID: 28751895 PMCID: PMC5508101 DOI: 10.3389/fpls.2017.01105] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Accepted: 06/07/2017] [Indexed: 05/25/2023]
Abstract
Identification of functionally relevant potential genomic loci using an economical, simpler and user-friendly genomics-assisted breeding strategy is vital for rapid genetic dissection of complex flowering time quantitative trait in chickpea. A high-throughput multiple QTL-seq strategy was employed in two inter (Cicer arietinum desi accession ICC 4958 × C reticulatum wild accession ICC 17160)- and intra (ICC 4958 × C. arietinum kabuli accession ICC 8261)-specific RIL mapping populations to identify the major QTL genomic regions governing flowering time in chickpea. The whole genome resequencing discovered 1635117 and 592486 SNPs exhibiting differentiation between early- and late-flowering mapping parents and bulks, constituted by pooling the homozygous individuals of extreme flowering time phenotypic trait from each of two aforesaid RIL populations. The multiple QTL-seq analysis using these mined SNPs in two RIL mapping populations narrowed-down two longer (907.1 kb and 1.99 Mb) major flowering time QTL genomic regions into the high-resolution shorter (757.7 kb and 1.39 Mb) QTL intervals on chickpea chromosome 4. This essentially identified regulatory as well as coding (non-synonymous/synonymous) novel SNP allelic variants from two efl1 (early flowering 1) and GI (GIGANTEA) genes regulating flowering time in chickpea. Interestingly, strong natural allelic diversity reduction (88-91%) of two known flowering genes especially mapped at major QTL intervals as compared to that of background genomic regions (where no flowering time QTLs were mapped; 61.8%) in cultivated vis-à-vis wild Cicer gene pools was evident inferring the significant impact of evolutionary bottlenecks on these loci during chickpea domestication. Higher association potential of coding non-synonymous and regulatory SNP alleles mined from efl1 (36-49%) and GI (33-42%) flowering genes for early and late flowering time differentiation among chickpea accessions was evident. The robustness and validity of two functional allelic variants-containing genes localized at major flowering time QTLs was apparent by their identification from multiple intra-/inter-specific mapping populations of chickpea. The functionally relevant molecular tags delineated can be of immense use for deciphering the natural allelic diversity-based domestication pattern of flowering time and expediting genomics-aided crop improvement to develop early flowering cultivars of chickpea.
Collapse
Affiliation(s)
| | - Hari D. Upadhyaya
- International Crops Research Institute for the Semi-Arid TropicsPatancheru, India
| | | | - Anurag Daware
- National Institute of Plant Genome ResearchNew Delhi, India
| | - Udita Basu
- National Institute of Plant Genome ResearchNew Delhi, India
| | - Philanim W. Shimray
- Division of Genetics, Indian Agricultural Research InstituteNew Delhi, India
| | - Shailesh Tripathi
- Division of Genetics, Indian Agricultural Research InstituteNew Delhi, India
| | | | | | | |
Collapse
|
26
|
Chao H, Wang H, Wang X, Guo L, Gu J, Zhao W, Li B, Chen D, Raboanatahiry N, Li M. Genetic dissection of seed oil and protein content and identification of networks associated with oil content in Brassica napus. Sci Rep 2017; 7:46295. [PMID: 28393910 PMCID: PMC5385559 DOI: 10.1038/srep46295] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2016] [Accepted: 03/15/2017] [Indexed: 02/07/2023] Open
Abstract
High-density linkage maps can improve the precision of QTL localization. A high-density SNP-based linkage map containing 3207 markers covering 3072.7 cM of the Brassica napus genome was constructed in the KenC-8 × N53-2 (KNDH) population. A total of 67 and 38 QTLs for seed oil and protein content were identified with an average confidence interval of 5.26 and 4.38 cM, which could explain up to 22.24% and 27.48% of the phenotypic variation, respectively. Thirty-eight associated genomic regions from BSA overlapped with and/or narrowed the SOC-QTLs, further confirming the QTL mapping results based on the high-density linkage map. Potential candidates related to acyl-lipid and seed storage underlying SOC and SPC, respectively, were identified and analyzed, among which six were checked and showed expression differences between the two parents during different embryonic developmental periods. A large primary carbohydrate pathway based on potential candidates underlying SOC- and SPC-QTLs, and interaction networks based on potential candidates underlying SOC-QTLs, was constructed to dissect the complex mechanism based on metabolic and gene regulatory features, respectively. Accurate QTL mapping and potential candidates identified based on high-density linkage map and BSA analyses provide new insights into the complex genetic mechanism of oil and protein accumulation in the seeds of rapeseed.
Collapse
Affiliation(s)
- Hongbo Chao
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
- Hubei Collaborative Innovation Center for the Characteristic Resources Exploitation of Dabie Mountains, Huanggang Normal University, Huanggang, 438000, China
| | - Hao Wang
- Hybrid Rapeseed Research Center of Shaanxi Province, Shaanxi Rapeseed Branch of National Centre for Oil Crops Genetic Improvement, Yangling, 712100, China
| | - Xiaodong Wang
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
- Key Laboratory of Cotton and Rapeseed, Ministry of Agriculture, Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China
| | - Liangxing Guo
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Jianwei Gu
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Weiguo Zhao
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
- Hybrid Rapeseed Research Center of Shaanxi Province, Shaanxi Rapeseed Branch of National Centre for Oil Crops Genetic Improvement, Yangling, 712100, China
| | - Baojun Li
- Hybrid Rapeseed Research Center of Shaanxi Province, Shaanxi Rapeseed Branch of National Centre for Oil Crops Genetic Improvement, Yangling, 712100, China
| | - Dengyan Chen
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Nadia Raboanatahiry
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Maoteng Li
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
- Hubei Collaborative Innovation Center for the Characteristic Resources Exploitation of Dabie Mountains, Huanggang Normal University, Huanggang, 438000, China
| |
Collapse
|
27
|
Shen C, Jin X, Zhu D, Lin Z. Uncovering SNP and indel variations of tetraploid cottons by SLAF-seq. BMC Genomics 2017; 18:247. [PMID: 28330454 PMCID: PMC5363057 DOI: 10.1186/s12864-017-3643-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2016] [Accepted: 03/18/2017] [Indexed: 11/10/2022] Open
Abstract
Background Cotton (Gossypium spp.), as the world’s most utilized textile fibre source, is an important, economically valuable crop worldwide. Understanding the genomic variation of tetraploid cotton species is important for exploitation of the excellent characteristics of wild cotton and for improving the diversity of cotton in breeding. However, the discovery of DNA polymorphisms in tetraploid cotton genomes has lagged behind other important crops. Results A total of 111,795,823 reads, 467,735 specific length amplified fragment (SLAF) tags and 139,176 high-quality DNA polymorphisms were identified using specific length amplified fragment sequencing (SLAF-seq), including 132,880 SNPs and 6,296 InDels between the reference genome (TM-1) and the five tetraploid cotton species. Intriguingly, gene ontology (GO) enrichment analysis revealed that a number of significant terms were related to reproduction in G. barbadense acc. 3–79. Based on the new data sets, we reconstructed phylogenetic trees that showed a high concordance to the phylogeny of diploid and polyploid cottons. A large amount of interspecific genetic variations were identified, and some of them were validated by the single-strand conformation polymorphism (SSCP) method, which will be applied in introgression genetics and breeding with G. hirsutum cv. Emian22 as the receptor and the other species as donors. Conclusions Using SLAF-seq, a large number of DNA polymorphisms were identified. The comprehensive analysis of DNA polymorphisms provided invaluable insights into the different tetraploid cotton species. More importantly, the identification of numerous interspecific genetic variations provides the basis and is very practical for future introgression breeding. The results presented herein provide a valuable genomic resource for new insights into the genetics and breeding of cotton. Electronic supplementary material The online version of this article (doi:10.1186/s12864-017-3643-4) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Chao Shen
- National Key Laboratory of Crop Genetic Improvement, College of Plant Science & Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Xin Jin
- National Key Laboratory of Crop Genetic Improvement, College of Plant Science & Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - De Zhu
- National Key Laboratory of Crop Genetic Improvement, College of Plant Science & Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China
| | - Zhongxu Lin
- National Key Laboratory of Crop Genetic Improvement, College of Plant Science & Technology, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| |
Collapse
|
28
|
Daba K, Deokar A, Banniza S, Warkentin TD, Tar'an B. QTL mapping of early flowering and resistance to ascochyta blight in chickpea. Genome 2017; 59:413-25. [PMID: 27244453 DOI: 10.1139/gen-2016-0036] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
In western Canada, chickpea (Cicer arietinum L.) production is challenged by short growing seasons and infestations with ascochyta blight. Research was conducted to determine the genetic basis of the association between flowering time and reaction to ascochyta blight in chickpea. Ninety-two chickpea recombinant inbred lines (RILs) developed from a cross between ICCV 96029 and CDC Frontier were evaluated for flowering responses and ascochyta blight reactions in growth chambers and fields at multiple locations and during several years. A wide range of variation was exhibited by the RILs for days to flower, days to maturity, node of first flowering, plant height, and ascochyta blight resistance. Moderate to high broad sense heritability was estimated for ascochyta blight reaction (H(2) = 0.14-0.34) and for days to flowering (H(2) = 0.45-0.87) depending on the environments. Negative correlations were observed among the RILs for days to flowering and ascochyta blight resistance, ranging from r = -0.21 (P < 0.05) to -0.58 (P < 0.0001). A genetic linkage map consisting of eight linkage groups was developed using 349 SNP markers. Seven QTLs for days to flowering were identified that individually explained 9%-44% of the phenotypic variation. Eight QTLs were identified for ascochyta blight resistance that explained phenotypic variation ranging from 10% to 19%. Clusters of QTLs for days to flowering and ascochyta blight resistances were found on chromosome 3 at the interval of 8.6-23.11 cM and on chromosome 8 at the interval of 53.88-62.33 cM.
Collapse
Affiliation(s)
- Ketema Daba
- Crop Development Centre, Department of Plant Sciences, University of Saskatchewan, Saskatoon, SK S7N 5A8, Canada.,Crop Development Centre, Department of Plant Sciences, University of Saskatchewan, Saskatoon, SK S7N 5A8, Canada
| | - Amit Deokar
- Crop Development Centre, Department of Plant Sciences, University of Saskatchewan, Saskatoon, SK S7N 5A8, Canada.,Crop Development Centre, Department of Plant Sciences, University of Saskatchewan, Saskatoon, SK S7N 5A8, Canada
| | - Sabine Banniza
- Crop Development Centre, Department of Plant Sciences, University of Saskatchewan, Saskatoon, SK S7N 5A8, Canada.,Crop Development Centre, Department of Plant Sciences, University of Saskatchewan, Saskatoon, SK S7N 5A8, Canada
| | - Thomas D Warkentin
- Crop Development Centre, Department of Plant Sciences, University of Saskatchewan, Saskatoon, SK S7N 5A8, Canada.,Crop Development Centre, Department of Plant Sciences, University of Saskatchewan, Saskatoon, SK S7N 5A8, Canada
| | - Bunyamin Tar'an
- Crop Development Centre, Department of Plant Sciences, University of Saskatchewan, Saskatoon, SK S7N 5A8, Canada.,Crop Development Centre, Department of Plant Sciences, University of Saskatchewan, Saskatoon, SK S7N 5A8, Canada
| |
Collapse
|
29
|
Srivastava R, Bajaj D, Sayal YK, Meher PK, Upadhyaya HD, Kumar R, Tripathi S, Bharadwaj C, Rao AR, Parida SK. Genome-wide development and deployment of informative intron-spanning and intron-length polymorphism markers for genomics-assisted breeding applications in chickpea. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2016; 252:374-387. [PMID: 27717474 DOI: 10.1016/j.plantsci.2016.08.013] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2016] [Revised: 08/03/2016] [Accepted: 08/24/2016] [Indexed: 06/06/2023]
Abstract
The discovery and large-scale genotyping of informative gene-based markers is essential for rapid delineation of genes/QTLs governing stress tolerance and yield component traits in order to drive genetic enhancement in chickpea. A genome-wide 119169 and 110491 ISM (intron-spanning markers) from 23129 desi and 20386 kabuli protein-coding genes and 7454 in silico InDel (insertion-deletion) (1-45-bp)-based ILP (intron-length polymorphism) markers from 3283 genes were developed that were structurally and functionally annotated on eight chromosomes and unanchored scaffolds of chickpea. A much higher amplification efficiency (83%) and intra-specific polymorphic potential (86%) detected by these markers than that of other sequence-based genetic markers among desi and kabuli chickpea accessions was apparent even by a cost-effective agarose gel-based assay. The genome-wide physically mapped 1718 ILP markers assayed a wider level of functional genetic diversity (19-81%) and well-defined phylogenetics among domesticated chickpea accessions. The gene-derived 1424 ILP markers were anchored on a high-density (inter-marker distance: 0.65cM) desi intra-specific genetic linkage map/functional transcript map (ICC 4958×ICC 2263) of chickpea. This reference genetic map identified six major genomic regions harbouring six robust QTLs mapped on five chromosomes, which explained 11-23% seed weight trait variation (7.6-10.5 LOD) in chickpea. The integration of high-resolution QTL mapping with differential expression profiling detected six including one potential serine carboxypeptidase gene with ILP markers (linked tightly to the major seed weight QTLs) exhibiting seed-specific expression as well as pronounced up-regulation especially in seeds of high (ICC 4958) as compared to low (ICC 2263) seed weight mapping parental accessions. The marker information generated in the present study was made publicly accessible through a user-friendly web-resource, "Chickpea ISM-ILP Marker Database". The designing of multiple ISM and ILP markers (2-5 markers/gene) from an individual gene (transcription factor) with numerous aforementioned desirable genetic attributes can widen the user-preference to select suitable primer combination for simultaneous large-scale assaying of functional allelic variation, natural allelic diversity, molecular mapping and expression profiling of genes among chickpea accessions. This will essentially accelerate the identification of functionally relevant molecular tags regulating vital agronomic traits for genomics-assisted crop improvement by optimal resource expenses in chickpea.
Collapse
Affiliation(s)
- Rishi Srivastava
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Deepak Bajaj
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Yogesh K Sayal
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi 110012, India
| | - Prabina K Meher
- Division of Statistical Genetics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi 110012, India
| | - Hari D Upadhyaya
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502324, Telangana, India
| | - Rajendra Kumar
- U.P. Council of Agricultural Research, Gomati Nagar, Lucknow 226010, Uttar Pradesh, India
| | - Shailesh Tripathi
- Division of Genetics, Indian Agricultural Research Institute (IARI), New Delhi 110012, India
| | - Chellapilla Bharadwaj
- Division of Genetics, Indian Agricultural Research Institute (IARI), New Delhi 110012, India
| | - Atmakuri R Rao
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi 110012, India
| | - Swarup K Parida
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India.
| |
Collapse
|
30
|
Singh VK, Khan AW, Jaganathan D, Thudi M, Roorkiwal M, Takagi H, Garg V, Kumar V, Chitikineni A, Gaur PM, Sutton T, Terauchi R, Varshney RK. QTL-seq for rapid identification of candidate genes for 100-seed weight and root/total plant dry weight ratio under rainfed conditions in chickpea. PLANT BIOTECHNOLOGY JOURNAL 2016; 14:2110-2119. [PMID: 27107184 PMCID: PMC5095801 DOI: 10.1111/pbi.12567] [Citation(s) in RCA: 119] [Impact Index Per Article: 14.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2016] [Revised: 04/15/2016] [Accepted: 04/19/2016] [Indexed: 05/18/2023]
Abstract
Terminal drought is a major constraint to chickpea productivity. Two component traits responsible for reduction in yield under drought stress include reduction in seeds size and root length/root density. QTL-seq approach, therefore, was used to identify candidate genomic regions for 100-seed weight (100SDW) and total dry root weight to total plant dry weight ratio (RTR) under rainfed conditions. Genomewide SNP profiling of extreme phenotypic bulks from the ICC 4958 × ICC 1882 population identified two significant genomic regions, one on CaLG01 (1.08 Mb) and another on CaLG04 (2.7 Mb) linkage groups for 100SDW. Similarly, one significant genomic region on CaLG04 (1.10 Mb) was identified for RTR. Comprehensive analysis revealed four and five putative candidate genes associated with 100SDW and RTR, respectively. Subsequently, two genes (Ca_04364 and Ca_04607) for 100SDW and one gene (Ca_04586) for RTR were validated using CAPS/dCAPS markers. Identified candidate genomic regions and genes may be useful for molecular breeding for chickpea improvement.
Collapse
Affiliation(s)
- Vikas K Singh
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Aamir W Khan
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Deepa Jaganathan
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
- Department of Genetics, Osmania University, Hyderabad, India
| | - Mahendar Thudi
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Manish Roorkiwal
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Hiroki Takagi
- Iwate Biotechnology Research Center, Kitakami, Iwate, Japan
| | - Vanika Garg
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
- Department of Genetics, Osmania University, Hyderabad, India
| | - Vinay Kumar
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Annapurna Chitikineni
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Pooran M Gaur
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Tim Sutton
- South Australian Research and Development Institute, Adelaide, Australia
- School of Agriculture, Food and Wine, The University of Adelaide, Adelaide, Australia
| | | | - Rajeev K Varshney
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
- School of Plant Biology and Institute of Agriculture, The University of Western Australia, Crawley, WA, Australia.
| |
Collapse
|
31
|
Srivastava R, Singh M, Bajaj D, Parida SK. A High-Resolution InDel (Insertion-Deletion) Markers-Anchored Consensus Genetic Map Identifies Major QTLs Governing Pod Number and Seed Yield in Chickpea. FRONTIERS IN PLANT SCIENCE 2016; 7:1362. [PMID: 27695461 PMCID: PMC5025440 DOI: 10.3389/fpls.2016.01362] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2016] [Accepted: 08/29/2016] [Indexed: 05/12/2023]
Abstract
Development and large-scale genotyping of user-friendly informative genome/gene-derived InDel markers in natural and mapping populations is vital for accelerating genomics-assisted breeding applications of chickpea with minimal resource expenses. The present investigation employed a high-throughput whole genome next-generation resequencing strategy in low and high pod number parental accessions and homozygous individuals constituting the bulks from each of two inter-specific mapping populations [(Pusa 1103 × ILWC 46) and (Pusa 256 × ILWC 46)] to develop non-erroneous InDel markers at a genome-wide scale. Comparing these high-quality genomic sequences, 82,360 InDel markers with reference to kabuli genome and 13,891 InDel markers exhibiting differentiation between low and high pod number parental accessions and bulks of aforementioned mapping populations were developed. These informative markers were structurally and functionally annotated in diverse coding and non-coding sequence components of genome/genes of kabuli chickpea. The functional significance of regulatory and coding (frameshift and large-effect mutations) InDel markers for establishing marker-trait linkages through association/genetic mapping was apparent. The markers detected a greater amplification (97%) and intra-specific polymorphic potential (58-87%) among a diverse panel of cultivated desi, kabuli, and wild accessions even by using a simpler cost-efficient agarose gel-based assay implicating their utility in large-scale genetic analysis especially in domesticated chickpea with narrow genetic base. Two high-density inter-specific genetic linkage maps generated using aforesaid mapping populations were integrated to construct a consensus 1479 InDel markers-anchored high-resolution (inter-marker distance: 0.66 cM) genetic map for efficient molecular mapping of major QTLs governing pod number and seed yield per plant in chickpea. Utilizing these high-density genetic maps as anchors, three major genomic regions harboring each of pod number and seed yield robust QTLs (15-28% phenotypic variation explained) were identified on chromosomes 2, 4, and 6. The integration of genetic and physical maps at these QTLs mapped on chromosomes scaled-down the long major QTL intervals into high-resolution short pod number and seed yield robust QTL physical intervals (0.89-2.94 Mb) which were essentially got validated in multiple genetic backgrounds of two chickpea mapping populations. The genome-wide InDel markers including natural allelic variants and genomic loci/genes delineated at major six especially in one colocalized novel congruent robust pod number and seed yield robust QTLs mapped on a high-density consensus genetic map were found most promising in chickpea. These functionally relevant molecular tags can drive marker-assisted genetic enhancement to develop high-yielding cultivars with increased seed/pod number and yield in chickpea.
Collapse
Affiliation(s)
| | - Mohar Singh
- National Bureau of Plant Genetic Resources Regional StationShimla, India
| | - Deepak Bajaj
- National Institute of Plant Genome ResearchNew Delhi, India
| | - Swarup K. Parida
- National Institute of Plant Genome ResearchNew Delhi, India
- *Correspondence: Swarup K. Parida ;
| |
Collapse
|