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Khassanova G, Oshergina I, Ten E, Jatayev S, Zhanbyrshina N, Gabdola A, Gupta NK, Schramm C, Pupulin A, Philp-Dutton L, Anderson P, Sweetman C, Jenkins CL, Soole KL, Shavrukov Y. Zinc finger knuckle genes are associated with tolerance to drought and dehydration in chickpea ( Cicer arietinum L.). FRONTIERS IN PLANT SCIENCE 2024; 15:1354413. [PMID: 38766473 PMCID: PMC11099236 DOI: 10.3389/fpls.2024.1354413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 04/17/2024] [Indexed: 05/22/2024]
Abstract
Chickpea (Cicer arietinum L.) is a very important food legume and needs improved drought tolerance for higher seed production in dry environments. The aim of this study was to determine diversity and genetic polymorphism in zinc finger knuckle genes with CCHC domains and their functional analysis for practical improvement of chickpea breeding. Two CaZF-CCHC genes, Ca04468 and Ca07571, were identified as potentially important candidates associated with plant responses to drought and dehydration. To study these genes, various methods were used including Sanger sequencing, DArT (Diversity array technology) and molecular markers for plant genotyping, gene expression analysis using RT-qPCR, and associations with seed-related traits in chickpea plants grown in field trials. These genes were studied for genetic polymorphism among a set of chickpea accessions, and one SNP was selected for further study from four identified SNPs between the promoter regions of each of the two genes. Molecular markers were developed for the SNP and verified using the ASQ and CAPS methods. Genotyping of parents and selected breeding lines from two hybrid populations, and SNP positions on chromosomes with haplotype identification, were confirmed using DArT microarray analysis. Differential expression profiles were identified in the parents and the hybrid populations under gradual drought and rapid dehydration. The SNP-based genotypes were differentially associated with seed weight per plant but not with 100 seed weight. The two developed and verified SNP molecular markers for both genes, Ca04468 and Ca07571, respectively, could be used for marker-assisted selection in novel chickpea cultivars with improved tolerance to drought and dehydration.
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Affiliation(s)
- Gulmira Khassanova
- Faculty of Agronomy, S.Seifullin Kazakh AgroTechnical Research University, Astana, Kazakhstan
- Department of Crop Breeding, A.I.Barayev Research and Production Centre of Grain Farming, Shortandy, Kazakhstan
| | - Irina Oshergina
- Department of Crop Breeding, A.I.Barayev Research and Production Centre of Grain Farming, Shortandy, Kazakhstan
| | - Evgeniy Ten
- Department of Crop Breeding, A.I.Barayev Research and Production Centre of Grain Farming, Shortandy, Kazakhstan
| | - Satyvaldy Jatayev
- Faculty of Agronomy, S.Seifullin Kazakh AgroTechnical Research University, Astana, Kazakhstan
| | - Nursaule Zhanbyrshina
- Faculty of Agronomy, S.Seifullin Kazakh AgroTechnical Research University, Astana, Kazakhstan
| | - Ademi Gabdola
- Faculty of Agronomy, S.Seifullin Kazakh AgroTechnical Research University, Astana, Kazakhstan
| | - Narendra K. Gupta
- Department of Plant Physiology, Sri Karan Narendra (SNK) Agricultural University, Jobster, Rajastan, India
| | - Carly Schramm
- College of Science and Engineering (Biological Sciences), Flinders University, Adelaide, SA, Australia
| | - Antonio Pupulin
- College of Science and Engineering (Biological Sciences), Flinders University, Adelaide, SA, Australia
| | - Lauren Philp-Dutton
- College of Science and Engineering (Biological Sciences), Flinders University, Adelaide, SA, Australia
| | - Peter Anderson
- College of Science and Engineering (Biological Sciences), Flinders University, Adelaide, SA, Australia
| | - Crystal Sweetman
- College of Science and Engineering (Biological Sciences), Flinders University, Adelaide, SA, Australia
| | - Colin L.D. Jenkins
- College of Science and Engineering (Biological Sciences), Flinders University, Adelaide, SA, Australia
| | - Kathleen L. Soole
- College of Science and Engineering (Biological Sciences), Flinders University, Adelaide, SA, Australia
| | - Yuri Shavrukov
- College of Science and Engineering (Biological Sciences), Flinders University, Adelaide, SA, Australia
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Zhou Z, Liu F, Xu Y, Hu W. Genetic Diversity Analysis and Core Germplasm Construction of Rubus chingii Hu. PLANTS (BASEL, SWITZERLAND) 2024; 13:618. [PMID: 38475465 DOI: 10.3390/plants13050618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 02/14/2024] [Accepted: 02/17/2024] [Indexed: 03/14/2024]
Abstract
Rubus chingii Hu is the only species that is used for both edible and medicinal purposes among the 194 species of the genus Rubus in China. It is well known for its sweet and sour fresh fruits that are rich in vitamins and for its dried immature fruits that are used to treat kidney-related ailments. This study aims to evaluate genetic diversity and population structure and build a core germplasm repository of 132 R. chingii accessions from the provinces of Jiangxi and Fujian, using Hyper-seq-derived single-nucleotide polymorphism (SNP) markers. This is the first genetic study of R. chingii based on SNP molecular markers, and a total of 1,303,850 SNPs and 433,159 insertions/deletions (InDels) were identified. Low values for observed heterozygosity, nucleotide diversity (Pi) and fixation indexes (Fis) indicated low genetic diversity within populations, and an analysis of molecular variance (AMOVA) showed that 37.4% and 62.6% of the variations were found between populations and within samples, respectively. Four main clusters were identified by means of neighbor-joining (NJ) trees, the ADMIXTURE program and principal component analysis (PCA). Based on the genetic diversity, we finally constructed 38 representative core collections, representing 50% of the total core germplasm samples and 95.3% of the genotypes. In summary, the results of our study can provide valuable information on the genetic structure of R. chingii germplasm resources, which is helpful for further explorations of potential high-quality genes and for formulating future breeding and conservation strategies.
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Affiliation(s)
- Ziwei Zhou
- College of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang 330004, China
- Lushan Botanical Garden, Jiangxi Province and Chinese Academy of Sciences, Jiujiang 332900, China
| | - Fen Liu
- Lushan Botanical Garden, Jiangxi Province and Chinese Academy of Sciences, Jiujiang 332900, China
| | - Yanqin Xu
- College of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang 330004, China
| | - Weiming Hu
- College of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang 330004, China
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Choudhary A, Shekhawat D, Pathania J, Sita K, Sharma S, Chawla A, Jaiswal V. Exploring DNA barcode for accurate identification of threatened Aconitum L. species from Western Himalaya. Mol Biol Rep 2024; 51:75. [PMID: 38175298 DOI: 10.1007/s11033-023-08927-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 11/27/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND Aconitum species, belonging to Ranunculaceae, have high medicinal importance but due to their overexploitation come under IUCN (International Union for Conservation of Nature) red list. The precise identification of the Aconitum species is equally important because they are used in herbal formulations. The present study aimed to develop an efficient DNA barcode system for the authentic identification of Aconitum species. METHODS AND RESULTS A set of 92 barcode gene sequences (including 12 developed during the present study and 80 retrieved from NCBI) of 5 Aconitum species (A. heterophyllum, A. vialoceum, A. japonicum, A. napellus, and A. stapfianum) were analyzed using three methods (tree-based, distance-based, and similarity-based) for species discrimination. The PWG-distance method was found most effective for species discrimination. The discrimination rate of PWG- distance ranged from 33.3% (rbcL + trnH-psbA) to 100% (ITS, rbcL + ITS, ITS + trnH-psbA and rbcL + ITS + trnH-psbA). Among DNA barcodes and their combinations, the ITS marker had the highest degree of species discrimination (NJ-40%, PWG-100% and BLAST-40%), followed by trnH-psbA (NJ-20%, PWG-60% and BLAST-20%). ITS also had higher barcoding gap as compared to other individual barcodes and their combinations. Further, we also analyzed six Aconitum species (A. balfourii, A. ferox, A. heterophyllum, A. rotundifolium, A. soongaricum and A. violaceum) existing in Western Himalaya. These species were distinguished clearly through tree-based method using the ITS barcode gene with 100% species resolution. CONCLUSION ITS showed the best species discrimination power and was used to develop species-specific barcodes for Aconitum species. DNA barcodes developed during the present study can be used to identify Aconitum species.
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Affiliation(s)
- Anita Choudhary
- Biotechnology, Division, CSIR-Institute of Himalayan Bioresource Technology, Palampur, Himachal Pradesh, 176061, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Deepika Shekhawat
- Biotechnology, Division, CSIR-Institute of Himalayan Bioresource Technology, Palampur, Himachal Pradesh, 176061, India
| | - Jyotsna Pathania
- Biotechnology, Division, CSIR-Institute of Himalayan Bioresource Technology, Palampur, Himachal Pradesh, 176061, India
| | - Kumari Sita
- Environmental Technology Division, CSIR-Institute of Himalayan Bioresource Technology, Palampur, Himachal Pradesh, 176061, India
| | - Shailika Sharma
- Environmental Technology Division, CSIR-Institute of Himalayan Bioresource Technology, Palampur, Himachal Pradesh, 176061, India
| | - Amit Chawla
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
- Environmental Technology Division, CSIR-Institute of Himalayan Bioresource Technology, Palampur, Himachal Pradesh, 176061, India
| | - Vandana Jaiswal
- Biotechnology, Division, CSIR-Institute of Himalayan Bioresource Technology, Palampur, Himachal Pradesh, 176061, India.
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
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Raja TV, Alex R, Singh U, Kumar S, Das AK, Sengar G, Singh AK. Genome wide mining of SNPs and INDELs through ddRAD sequencing in Sahiwal cattle. Anim Biotechnol 2023; 34:4885-4899. [PMID: 37093232 DOI: 10.1080/10495398.2023.2200517] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
The study was conducted in Sahiwal cattle for genome wide identification and annotation of single nucleotide polymorphisms (SNPs) and insertions and deletions (INDELs) in Sahiwal cattle. The double digest restriction-site associated DNA (ddRAD) sequencing, a reduced representation method was used for the identification of variants at nucleotide level. A total of 1,615,211 variants were identified at RD10 and Q30 consisting of 1,480,930 SNPs and 134,281 INDELs with respect to the Bos taurus reference genome. The SNPs were annotated for their location, impact and functional class. The SNPs identified in Sahiwal cattle were found to be associated with a total of 26,229 genes. A total of 1819 SNPs were annotated for 209 candidate genes associated with different production and reproduction traits. The variants identified in the present study may be useful to strengthen the existing bovine SNP chips for reducing the biasness over the taurine cattle breeds. The diversity analysis provides the insight of the genetic architecture of the Sahiwal population Studied. The large genetic variations identified at the nucleotide level provide ample scope for implementing an effective and efficient breed improvement programme for increasing the productivity of Sahiwal cattle.
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Affiliation(s)
- Thiruvothur Venkatesan Raja
- Molecular Genetics Laboratory, Cattle Genetics and Breeding Division, ICAR-Central Institute for Research on Cattle, Meerut Cantt, Uttar Pradesh, India
| | - Rani Alex
- ICAR-National Dairy Research Institute, Karnal, Haryana, India
| | - Umesh Singh
- Molecular Genetics Laboratory, Cattle Genetics and Breeding Division, ICAR-Central Institute for Research on Cattle, Meerut Cantt, Uttar Pradesh, India
| | - Sushil Kumar
- Molecular Genetics Laboratory, Cattle Genetics and Breeding Division, ICAR-Central Institute for Research on Cattle, Meerut Cantt, Uttar Pradesh, India
| | - Achintya Kumar Das
- Molecular Genetics Laboratory, Cattle Genetics and Breeding Division, ICAR-Central Institute for Research on Cattle, Meerut Cantt, Uttar Pradesh, India
| | - Gyanendra Sengar
- National Research Centre on Pigs, Rani (Near Airport), Guwahati, Assam, India
| | - Amit Kumar Singh
- Molecular Genetics Laboratory, Cattle Genetics and Breeding Division, ICAR-Central Institute for Research on Cattle, Meerut Cantt, Uttar Pradesh, India
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Yirgu M, Kebede M, Feyissa T, Lakew B, Woldeyohannes AB, Fikere M. Single nucleotide polymorphism (SNP) markers for genetic diversity and population structure study in Ethiopian barley (Hordeum vulgare L.) germplasm. BMC Genom Data 2023; 24:7. [PMID: 36788500 PMCID: PMC9930229 DOI: 10.1186/s12863-023-01109-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Accepted: 01/31/2023] [Indexed: 02/16/2023] Open
Abstract
BACKGROUND High-density single nucleotide polymorphisms (SNPs) are the most abundant and robust form of genetic variants and hence make highly favorable markers to determine the genetic diversity and relationship, enhancing the selection of breeding materials and the discovery of novel genes associated with economically important traits. In this study, a total of 105 barley genotypes were sampled from various agro-ecologies of Ethiopia and genotyped using 10 K single nucleotide polymorphism (SNP) markers. The refined dataset was used to assess genetic diversity and population structure. RESULTS The average gene diversity was 0.253, polymorphism information content (PIC) of 0.216, and minor allelic frequency (MAF) of 0.118 this revealed a high genetic variation in barley genotypes. The genetic differentiation also showed the existence of variations, ranging from 0.019 to 0.117, indicating moderate genetic differentiation between barley populations. Analysis of molecular variance (AMOVA) revealed that 46.43% and 52.85% of the total genetic variation occurred within the accessions and populations, respectively. The heat map, principal components and population structure analysis further confirm the presence of four distinct clusters. CONCLUSIONS This study confirmed that there is substantial genetic variation among the different barley genotypes. This information is useful in genomics, genetics and barley breeding.
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Affiliation(s)
- Mihret Yirgu
- Department of Applied Biology, School of Applied Natural Science, Adama Science and Technology University, P.O.Box 1888, Adama, Ethiopia. .,Department of Plant Science, College of Agriculture and Natural Resource, Madda Walabu University, P.O.Box 247, Robe, Oromia, Ethiopia.
| | - Mulugeta Kebede
- grid.7123.70000 0001 1250 5688Department of Plant Biology and Biodiversity Management, College of Natural and Computational Sciences, Addis Ababa University, P.O.Box 3434, Addis Ababa, Ethiopia
| | - Tileye Feyissa
- grid.7123.70000 0001 1250 5688Institute of Biotechnology, Addis Ababa University, P.O.Box 1176, Addis Ababa, Ethiopia
| | - Berhane Lakew
- grid.463251.70000 0001 2195 6683Holetta Agricultural Research Center, Ethiopian Institute of Agricultural Research, Holetta, Ethiopia
| | | | - Mulusew Fikere
- grid.1003.20000 0000 9320 7537Institute of Molecular Bioscience, University of Queensland, Brisbane, Australia
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Islam T, Afroz N, Koh C, Hoque MN, Rahman MJ, Gupta DR, Mahmud NU, Nahid AA, Islam R, Bhowmik PK, Sharpe AG. Whole-genome sequencing of a year-round fruiting jackfruit ( Artocarpus heterophyllus Lam.) reveals high levels of single nucleotide variation. FRONTIERS IN PLANT SCIENCE 2022; 13:1044420. [PMID: 36605965 PMCID: PMC9809283 DOI: 10.3389/fpls.2022.1044420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 11/28/2022] [Indexed: 06/17/2023]
Abstract
Jackfruit (Artocarpus heterophyllus Lam.) is the national fruit of Bangladesh and produces fruit in the summer season only. However, jackfruit is not commercially grown in Bangladesh because of an extremely high variation in fruit quality, short seasonal fruiting (June-August) and susceptibility to abiotic stresses. Conversely, a year-round high yielding (ca. 4-fold higher than the seasonal variety) jackfruit variety, BARI Kanthal-3 developed by the Bangladesh Agricultural Research Institute (BARI) derived from a wild accession found in Ramgarh of Chattogram Hiltracts of Bangladesh, provides fruits from September to June. This study aimed to generate a draft whole-genome sequence (WGS) of BARI Kanthal-3 to obtain molecular insights including genes associated with year-round fruiting trait of this important unique variety. The estimated genome size of BARI Kanthal-3 was 1.04-gigabase-pair (Gbp) with a heterozygosity rate of 1.62%. De novo assembly yielded a scaffolded 817.7 Mb genome while a reference-guided approach, yielded 843 Mb of genome sequence. The estimated GC content was 34.10%. Variant analysis revealed that BARI Kanthal-3 included 5.7 M (35%) and 10.4 M (65%) simple and heterozygous single nucleotide polymorphisms (SNPs), and about 90% of all these polymorphisms are in inter-genic regions. Through BUSCO assessment, 97.2% of the core genes were represented in the assembly with 1.3% and 1.5% either fragmented or missing, respectively. By comparing identified orthologous gene groups in BARI Kanthal-3 with five closely and one distantly related species of 10,092 common orthogroups were found across the genomes of the six species. The phylogenetic analysis of the shared orthogroups showed that A. heterophyllus was the closest species to BARI Kanthal-3 and orthogroups related to flowering time were found to be more highly prevalent in BARI Kanthal-3 compared to the other Arctocarpus spp. The findings of this study will help better understanding the evolution, domestication, phylogenetic relationships, year-round fruiting of this highly nutritious fruit crop as well as providing a resource for molecular breeding.
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Affiliation(s)
- Tofazzal Islam
- Institute of Biotechnology and Genetic Engineering (IBGE), Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur, Bangladesh
| | - Nadia Afroz
- Institute of Biotechnology and Genetic Engineering (IBGE), Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur, Bangladesh
| | - ChuShin Koh
- Global Institute for Food Security (GIFS), University of Saskatchewan, Saskatoon, SK, Canada
| | - M. Nazmul Hoque
- Department of Gynecology, Obstetrics and Reproductive Health, Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur, Bangladesh
| | - Md. Jillur Rahman
- Pomology Division, Horticultural Research Center, Bangladesh Agricultural Research Institute, Gazipur, Bangladesh
| | - Dipali Rani Gupta
- Institute of Biotechnology and Genetic Engineering (IBGE), Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur, Bangladesh
| | - Nur Uddin Mahmud
- Institute of Biotechnology and Genetic Engineering (IBGE), Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur, Bangladesh
| | - Abdullah Al Nahid
- Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, Bangladesh
| | - Rashedul Islam
- Bioinformatics Graduate Program, University of British Columbia, Vancouver, BC, Canada
| | - Pankaj K. Bhowmik
- Cell Technologies and Trait Development, National Research Council of Canada, Saskatoon, SK, Canada
| | - Andrew G. Sharpe
- Global Institute for Food Security (GIFS), University of Saskatchewan, Saskatoon, SK, Canada
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Genome-wide analysis-based single nucleotide polymorphism marker sets to identify diverse genotypes in cabbage cultivars (Brassica oleracea var. capitata). Sci Rep 2022; 12:20030. [PMID: 36414667 PMCID: PMC9681867 DOI: 10.1038/s41598-022-24477-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 11/16/2022] [Indexed: 11/23/2022] Open
Abstract
Plant variety protection is essential for breeders' rights granted by the International Union for the Protection of New Varieties of Plants. Distinctness, uniformity, and stability (DUS) are necessary for new variety registration; to this end, currently, morphological traits are examined, which is time-consuming and laborious. Molecular markers are more effective, accurate, and stable descriptors of DUS. Advancements in next-generation sequencing technology have facilitated genome-wide identification of single nucleotide polymorphisms. Here, we developed a core set of single nucleotide polymorphism markers to identify cabbage varieties and traits of test guidance through clustering using the Fluidigm assay, a high-throughput genotyping system. Core sets of 87, 24, and 10 markers are selected based on a genome-wide association-based approach. All core markers could identify 94 cabbage varieties and determine 17 DUS traits. A genotypes database was validated using the Fluidigm platform for variety identification, population structure analysis, cabbage breeding, and DUS testing for plant cultivar protection.
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Sun X, Li X, Lu Y, Wang S, Zhang X, Zhang K, Su X, Liu M, Feng D, Luo S, Gu A, Fu Y, Chen X, Xuan S, Wang Y, Xu D, Chen S, Ma W, Shen S, Cheng F, Zhao J. Construction of a high-density mutant population of Chinese cabbage facilitates the genetic dissection of agronomic traits. MOLECULAR PLANT 2022; 15:913-924. [PMID: 35150930 DOI: 10.1016/j.molp.2022.02.006] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 01/31/2022] [Accepted: 02/06/2022] [Indexed: 06/14/2023]
Abstract
Chinese cabbage (Brassica rapa ssp. pekinensis) is an economically important vegetable crop throughout the world, especially in Asia. High-quality genome sequences are available for Chinese cabbage, but gene functional studies remain challenging. To promote functional genomic studies of Chinese cabbage, we generated an ethyl methane sulfonate (EMS) mutant population of ∼8000 M2 plants using the double haploid inbred line A03 as the parent. The genome of A03 was sequenced and used as a reference for high-throughput functional characterization of gene mutations at the whole-genome level. A total of 300 M2 to M5 EMS mutants were phenotypically screened and then sequenced, revealing 750 629 SNPs and 46 272 InDel mutations that cover 98.27% of all predicted genes in the A03 genome. A forward-genetics approach was successfully used to identify two genes with chloroplast-related functions that are responsible for the yellow leaf mutant trait. A reverse-genetics approach was also used to identify associations between mutations in five genes of the glucosinolate biosynthetic pathway and variations in glucosinolate content of the mutant plants. In addition, we built the Chinese cabbage EMS mutation database (CCEMD, www.bioinformaticslab.cn/EMSmutation/home) to increase the usability of this mutant population resource. In summary, we performed large-scale screening of a heading Chinese cabbage EMS mutant collection at the phenotypic and genotypic levels, which will facilitate gene mining of Chinese cabbage and might also be useful for the study of other Brassica crops.
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Affiliation(s)
- Xiaoxue Sun
- State Key Laboratory of North China Crop Improvement and Regulation, Key Laboratory of Vegetable Germplasm Innovation and Utilization of Hebei, Collaborative Innovation Center of Vegetable Industry in Hebei, College of Horticulture, Hebei Agricultural University, Baoding 071000, China
| | - Xing Li
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 271000, China
| | - Yin Lu
- State Key Laboratory of North China Crop Improvement and Regulation, Key Laboratory of Vegetable Germplasm Innovation and Utilization of Hebei, Collaborative Innovation Center of Vegetable Industry in Hebei, College of Horticulture, Hebei Agricultural University, Baoding 071000, China
| | - Shan Wang
- State Key Laboratory of North China Crop Improvement and Regulation, Key Laboratory of Vegetable Germplasm Innovation and Utilization of Hebei, Collaborative Innovation Center of Vegetable Industry in Hebei, College of Horticulture, Hebei Agricultural University, Baoding 071000, China
| | - Xiaomeng Zhang
- State Key Laboratory of North China Crop Improvement and Regulation, Key Laboratory of Vegetable Germplasm Innovation and Utilization of Hebei, Collaborative Innovation Center of Vegetable Industry in Hebei, College of Horticulture, Hebei Agricultural University, Baoding 071000, China
| | - Kang Zhang
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 271000, China
| | - Xiangjie Su
- State Key Laboratory of North China Crop Improvement and Regulation, Key Laboratory of Vegetable Germplasm Innovation and Utilization of Hebei, Collaborative Innovation Center of Vegetable Industry in Hebei, College of Horticulture, Hebei Agricultural University, Baoding 071000, China
| | - Mengyang Liu
- State Key Laboratory of North China Crop Improvement and Regulation, Key Laboratory of Vegetable Germplasm Innovation and Utilization of Hebei, Collaborative Innovation Center of Vegetable Industry in Hebei, College of Horticulture, Hebei Agricultural University, Baoding 071000, China
| | - Daling Feng
- State Key Laboratory of North China Crop Improvement and Regulation, Key Laboratory of Vegetable Germplasm Innovation and Utilization of Hebei, Collaborative Innovation Center of Vegetable Industry in Hebei, College of Horticulture, Hebei Agricultural University, Baoding 071000, China
| | - Shuangxia Luo
- State Key Laboratory of North China Crop Improvement and Regulation, Key Laboratory of Vegetable Germplasm Innovation and Utilization of Hebei, Collaborative Innovation Center of Vegetable Industry in Hebei, College of Horticulture, Hebei Agricultural University, Baoding 071000, China
| | - Aixia Gu
- State Key Laboratory of North China Crop Improvement and Regulation, Key Laboratory of Vegetable Germplasm Innovation and Utilization of Hebei, Collaborative Innovation Center of Vegetable Industry in Hebei, College of Horticulture, Hebei Agricultural University, Baoding 071000, China
| | - Yu Fu
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 271000, China
| | - Xueping Chen
- State Key Laboratory of North China Crop Improvement and Regulation, Key Laboratory of Vegetable Germplasm Innovation and Utilization of Hebei, Collaborative Innovation Center of Vegetable Industry in Hebei, College of Horticulture, Hebei Agricultural University, Baoding 071000, China
| | - Shuxin Xuan
- State Key Laboratory of North China Crop Improvement and Regulation, Key Laboratory of Vegetable Germplasm Innovation and Utilization of Hebei, Collaborative Innovation Center of Vegetable Industry in Hebei, College of Horticulture, Hebei Agricultural University, Baoding 071000, China
| | - Yanhua Wang
- State Key Laboratory of North China Crop Improvement and Regulation, Key Laboratory of Vegetable Germplasm Innovation and Utilization of Hebei, Collaborative Innovation Center of Vegetable Industry in Hebei, College of Horticulture, Hebei Agricultural University, Baoding 071000, China
| | - Donghui Xu
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 271000, China
| | - Shumin Chen
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 271000, China
| | - Wei Ma
- State Key Laboratory of North China Crop Improvement and Regulation, Key Laboratory of Vegetable Germplasm Innovation and Utilization of Hebei, Collaborative Innovation Center of Vegetable Industry in Hebei, College of Horticulture, Hebei Agricultural University, Baoding 071000, China.
| | - Shuxing Shen
- State Key Laboratory of North China Crop Improvement and Regulation, Key Laboratory of Vegetable Germplasm Innovation and Utilization of Hebei, Collaborative Innovation Center of Vegetable Industry in Hebei, College of Horticulture, Hebei Agricultural University, Baoding 071000, China.
| | - Feng Cheng
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Beijing 271000, China.
| | - Jianjun Zhao
- State Key Laboratory of North China Crop Improvement and Regulation, Key Laboratory of Vegetable Germplasm Innovation and Utilization of Hebei, Collaborative Innovation Center of Vegetable Industry in Hebei, College of Horticulture, Hebei Agricultural University, Baoding 071000, China.
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Mekbib Y, Tesfaye K, Dong X, Saina JK, Hu GW, Wang QF. Whole-genome resequencing of Coffea arabica L. (Rubiaceae) genotypes identify SNP and unravels distinct groups showing a strong geographical pattern. BMC PLANT BIOLOGY 2022; 22:69. [PMID: 35164709 PMCID: PMC8842891 DOI: 10.1186/s12870-022-03449-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 01/27/2022] [Indexed: 06/04/2023]
Abstract
BACKGROUND Coffea arabica L. is an economically important agricultural crop and the most popular beverage worldwide. As a perennial crop with recalcitrant seed, conservation of the genetic resources of coffee can be achieved through the complementary approach of in-situ and ex-situ field genebank. In Ethiopia, a large collection of C. arabica L. germplasm is preserved in field gene banks. Here, we report the whole-genome resequencing of 90 accessions from Choche germplasm bank representing garden and forest-based coffee production systems using Illumina sequencing technology. RESULTS The genome sequencing generated 6.41 billion paired-end reads, with a mean of 71.19 million reads per sample. More than 93% of the clean reads were mapped onto the C. arabica L. reference genome. A total of 11.08 million variants were identified, among which 9.74 million (87.9%) were SNPs (Single nucleotide polymorphisms) and 1.34 million (12.1%) were InDels. In all accessions, genomic variants were unevenly distributed across the coffee genome. The phylogenetic analysis using the SNP markers displayed distinct groups. CONCLUSIONS Resequencing of the coffee accessions has allowed identification of genetic markers, such as SNPs and InDels. The SNPs discovered in this study might contribute to the variation in important pathways of genes for important agronomic traits such as caffeine content, yield, disease, and pest in coffee. Moreover, the genome resequencing data and the genetic markers identified from 90 accessions provide insight into the genetic variation of the coffee germplasm and facilitate a broad range of genetic studies.
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Affiliation(s)
- Yeshitila Mekbib
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, China
- Ethiopian Biodiversity Institute, P.O. Box 30726, Addis Ababa, Ethiopia
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan, 430074, China
| | - Kassahun Tesfaye
- Department of Microbial, Cellular and Molecular Biology, Addis Ababa University, Addis Ababa, Ethiopia
- Ethiopian Biotechnology Institute, Ministry of Innovation and Technology, Addis Ababa, Ethiopia
| | - Xiang Dong
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan, 430074, China
| | - Josphat K Saina
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan, 430074, China
- Centre for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, 666303, China
| | - Guang-Wan Hu
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan, 430074, China.
| | - Qing-Feng Wang
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan, 430074, China
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10
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Yang H, Mohd Saad NS, Ibrahim MI, Bayer PE, Neik TX, Severn-Ellis AA, Pradhan A, Tirnaz S, Edwards D, Batley J. Candidate Rlm6 resistance genes against Leptosphaeria. maculans identified through a genome-wide association study in Brassica juncea (L.) Czern. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:2035-2050. [PMID: 33768283 DOI: 10.1007/s00122-021-03803-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 02/23/2021] [Indexed: 06/12/2023]
Abstract
One hundred and sixty-seven B. juncea varieties were genotyped on the 90K Brassica assay (42,914 SNPs), which led to the identification of sixteen candidate genes for Rlm6. Brassica species are at high risk of severe crop loss due to pathogens, especially Leptosphaeria maculans (the causal agent of blackleg). Brassica juncea (L.) Czern is an important germplasm resource for canola improvement, due to its good agronomic traits, such as heat and drought tolerance and high blackleg resistance. The present study is the first using genome-wide association studies to identify candidate genes for blackleg resistance in B. juncea based on genome-wide SNPs obtained from the Illumina Infinium 90 K Brassica SNP array. The verification of Rlm6 in B. juncea was performed through a cotyledon infection test. Genotyping 42,914 single nucleotide polymorphisms (SNPs) in a panel of 167 B. juncea lines revealed a total of seven SNPs significantly associated with Rlm6 on chromosomes A07 and B04 in B. juncea. Furthermore, 16 candidate Rlm6 genes were found in these regions, defined as nucleotide binding site leucine-rich-repeat (NLR), leucine-rich repeat RLK (LRR-RLK) and LRR-RLP genes. This study will give insights into the blackleg resistance in B. juncea and facilitate identification of functional blackleg resistance genes which can be used in Brassica breeding.
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Affiliation(s)
- Hua Yang
- School of Agriculture and Food Sciences, University of Queensland, Brisbane, QLD, Australia
- School of Biological Sciences, University of Western Australia, Perth, WA, Australia
| | | | | | - Philipp E Bayer
- School of Biological Sciences, University of Western Australia, Perth, WA, Australia
| | - Ting Xiang Neik
- School of Biological Sciences, University of Western Australia, Perth, WA, Australia
| | - Anita A Severn-Ellis
- School of Biological Sciences, University of Western Australia, Perth, WA, Australia
| | - Aneeta Pradhan
- School of Biological Sciences, University of Western Australia, Perth, WA, Australia
| | - Soodeh Tirnaz
- School of Biological Sciences, University of Western Australia, Perth, WA, Australia
| | - David Edwards
- School of Biological Sciences, University of Western Australia, Perth, WA, Australia
| | - Jacqueline Batley
- School of Biological Sciences, University of Western Australia, Perth, WA, Australia.
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11
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Bangar P, Tyagi N, Tiwari B, Kumar S, Barman P, Kumari R, Gaikwad A, Bhat KV, Chaudhury A. Identification and characterization of SNPs in released, landrace and wild accessions of mungbean (Vigna radiata (L.) Wilczek) using whole genome re-sequencing. JOURNAL OF CROP SCIENCE AND BIOTECHNOLOGY 2021; 24:153-165. [DOI: 10.1007/s12892-020-00067-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 08/26/2020] [Indexed: 07/19/2023]
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12
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Cuervo-Alarcon L, Arend M, Müller M, Sperisen C, Finkeldey R, Krutovsky KV. A candidate gene association analysis identifies SNPs potentially involved in drought tolerance in European beech (Fagus sylvatica L.). Sci Rep 2021; 11:2386. [PMID: 33504857 PMCID: PMC7840767 DOI: 10.1038/s41598-021-81594-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 01/06/2021] [Indexed: 01/30/2023] Open
Abstract
Studies of genetic variation underlying traits related to drought tolerance in forest trees are of great importance for understanding their adaptive potential under a climate change scenario. In this study, using a candidate gene approach, associations between SNPs and drought related traits were assessed in saplings of European beech (Fagus sylvatica L.) representing trees growing along steep precipitation gradients. The saplings were subjected to experimentally controlled drought treatments. Response of the saplings was assessed by the evaluation of stem diameter growth (SDG) and the chlorophyll fluorescence parameters FV/FM, PIabs, and PItot. The evaluation showed that saplings from xeric sites were less affected by the drought treatment. Five SNPs (7.14%) in three candidate genes were significantly associated with the evaluated traits; saplings with particular genotypes at these SNPs showed better performance under the drought treatment. The SNPs were located in the cytosolic class I small heat-shock protein, CTR/DRE binding transcription factor, and isocitrate dehydrogenase genes and explained 5.8-13.4% of the phenotypic variance. These findings provide insight into the genetic basis of traits related to drought tolerance in European beech and could support the development of forest conservation management strategies under future climatic conditions.
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Affiliation(s)
- Laura Cuervo-Alarcon
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, Büsgenweg 2, 37077, Göttingen, Germany
| | - Matthias Arend
- Physiological Plant Ecology, University of Basel, Schönbeinstrasse 6, 4056, Basel, Switzerland
| | - Markus Müller
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, Büsgenweg 2, 37077, Göttingen, Germany
| | - Christoph Sperisen
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903, Birmensdorf, Switzerland
| | - Reiner Finkeldey
- University of Kassel, Mönchebergstrasse 19, 34109, Kassel, Germany
| | - Konstantin V Krutovsky
- Department of Forest Genetics and Forest Tree Breeding, Georg-August University of Göttingen, Büsgenweg 2, 37077, Göttingen, Germany.
- Vavilov Institute of General Genetics, Russian Academy of Sciences, 3 Gubkina Str., Moscow, Russia, 119333.
- Laboratory of Foresty Genomics, Genome Research and Education Center, Siberian Federal University, 50a/2 Akademgorodok, Krasnoyarsk, Russia, 660036.
- Department of Ecosystem Science and Management, Texas A&M University, 2138 TAMU, College Station, TX, 77843-2138, USA.
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Discovery of SNPs and InDels in papaya genotypes and its potential for marker assisted selection of fruit quality traits. Sci Rep 2021; 11:292. [PMID: 33431939 PMCID: PMC7801719 DOI: 10.1038/s41598-020-79401-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Accepted: 12/08/2020] [Indexed: 01/29/2023] Open
Abstract
Papaya is a tropical and climacteric fruit that is recognized for its nutritional benefits and medicinal applications. Its fruits ripen quickly and show a drastic fruit softening, leading to great post-harvest losses. To overcome this scenario, breeding programs of papaya must invest in exploring the available genetic variation to continue developing superior cultivars with improved fruit quality traits. The objective of this study was to perform a whole-genome genotyping (WGG) of papaya, predict the effects of the identified variants, and develop a list of ripening-related genes (RRGs) with linked variants. The Formosa elite lines of papaya Sekati and JS-12 were submitted to WGG with an Illumina Miseq platform. The effects of variants were predicted using the snpEff program. A total of 28,451 SNPs having Ts/Tv (Transition/Transversion) ratio of 2.45 and 1,982 small insertions/deletions (InDels) were identified. Most variant effects were predicted in non-coding regions, with only 2,104 and 138 effects placed in exons and splice site regions, respectively. A total of 106 RRGs were found to be associated with 460 variants, which may be converted into PCR markers to facilitate genetic mapping and diversity studies and to apply marker-assisted selection (MAS) for specific traits in papaya breeding programs.
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Hazra A, Kumar R, Sengupta C, Das S. Genome-wide SNP discovery from Darjeeling tea cultivars - their functional impacts and application toward population structure and trait associations. Genomics 2020; 113:66-78. [PMID: 33276009 DOI: 10.1016/j.ygeno.2020.11.028] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 11/20/2020] [Accepted: 11/29/2020] [Indexed: 01/07/2023]
Abstract
Genotyping by sequencing and identification of functionally relevant nucleotide variations in crop accessions are the key steps to unravel genetic control of desirable traits. Elite cultivars of Darjeeling tea were undergone SNP genotyping by double-digest restriction-site associated DNA sequencing method. This study reports a set of 54,206 high-quality SNP markers discovered from ~10.4 GB sequence data, encompassing 15 chromosomes of the reference tea genome. Genetic relatedness among the accessions conforms to the analyses of Bayesian clustering, UPGMA, and PCoA methods. Genomic positions of the discovered SNPs and their putative effect on annotated genes designated a thoughtful understanding of their functional aspects in tea system biology. A group of 95 genes was identified to be affected by high impact variants. Genome-wide association analyses of 21 agronomic and biochemical phenotypes resulted in trait-linked polymorphic loci with strong confidence (p < 0.05 and 0.001).
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Affiliation(s)
- Anjan Hazra
- Agricultural and Ecological Research Unit, Indian Statistical Institute, 203, B. T. Road, Kolkata 700108, India
| | - Rakesh Kumar
- Darjeeling Tea Research and Development center, Kurseong, West Bengal 734203, India
| | - Chandan Sengupta
- Department of Botany, University of Kalyani, Nadia 742325, India
| | - Sauren Das
- Agricultural and Ecological Research Unit, Indian Statistical Institute, 203, B. T. Road, Kolkata 700108, India.
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15
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Khadka K, Torkamaneh D, Kaviani M, Belzile F, Raizada MN, Navabi A. Population structure of Nepali spring wheat (Triticum aestivum L.) germplasm. BMC PLANT BIOLOGY 2020; 20:530. [PMID: 33225886 PMCID: PMC7682013 DOI: 10.1186/s12870-020-02722-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 10/26/2020] [Indexed: 05/04/2023]
Abstract
BACKGROUND Appropriate information about genetic diversity and population structure of germplasm improves the efficiency of plant breeding. The low productivity of Nepali bread wheat (Triticum aestivum L.) is a major concern particularly since Nepal is ranked the 4th most vulnerable nation globally to climate change. The genetic diversity and population structure of Nepali spring wheat have not been reported. This study aims to improve the exploitation of more diverse and under-utilized genetic resources to contribute to current and future breeding efforts for global food security. RESULTS We used genotyping-by-sequencing (GBS) to characterize a panel of 318 spring wheat accessions from Nepal including 166 landraces, 115 CIMMYT advanced lines, and 34 Nepali released varieties. We identified 95 K high-quality SNPs. The greatest genetic diversity was observed among the landraces, followed by CIMMYT lines, and released varieties. Though we expected only 3 groupings corresponding to these 3 seed origins, the population structure revealed two large, distinct subpopulations along with two smaller and scattered subpopulations in between, with significant admixture. This result was confirmed by principal component analysis (PCA) and UPGMA distance-based clustering. The pattern of LD decay differed between subpopulations, ranging from 60 to 150 Kb. We discuss the possibility that germplasm explorations during the 1970s-1990s may have mistakenly collected exotic germplasm instead of local landraces and/or collected materials that had already cross-hybridized since exotic germplasm was introduced starting in the 1950s. CONCLUSION We suggest that only a subset of wheat "landraces" in Nepal are authentic which this study has identified. Targeting these authentic landraces may accelerate local breeding programs to improve the food security of this climate-vulnerable nation. Overall, this study provides a novel understanding of the genetic diversity of wheat in Nepal and this may contribute to global wheat breeding initiatives.
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Affiliation(s)
- Kamal Khadka
- Department of Plant Agriculture, University of Guelph, Guelph, Ontario, N1G 2W1, Canada.
| | - Davoud Torkamaneh
- Department of Plant Agriculture, University of Guelph, Guelph, Ontario, N1G 2W1, Canada
- Département de Phytologie, Université Laval, Québec City, QC, G1V 0A6, Canada
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec City, QC, Canada
| | - Mina Kaviani
- Department of Plant Agriculture, University of Guelph, Guelph, Ontario, N1G 2W1, Canada
| | - Francois Belzile
- Département de Phytologie, Université Laval, Québec City, QC, G1V 0A6, Canada
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec City, QC, Canada
| | - Manish N Raizada
- Department of Plant Agriculture, University of Guelph, Guelph, Ontario, N1G 2W1, Canada
| | - Alireza Navabi
- Department of Plant Agriculture, University of Guelph, Guelph, Ontario, N1G 2W1, Canada
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16
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Li Q, Sapkota M, van der Knaap E. Perspectives of CRISPR/Cas-mediated cis-engineering in horticulture: unlocking the neglected potential for crop improvement. HORTICULTURE RESEARCH 2020; 7:36. [PMID: 32194972 PMCID: PMC7072075 DOI: 10.1038/s41438-020-0258-8] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 01/09/2020] [Accepted: 02/11/2020] [Indexed: 05/14/2023]
Abstract
Directed breeding of horticultural crops is essential for increasing yield, nutritional content, and consumer-valued characteristics such as shape and color of the produce. However, limited genetic diversity restricts the amount of crop improvement that can be achieved through conventional breeding approaches. Natural genetic changes in cis-regulatory regions of genes play important roles in shaping phenotypic diversity by altering their expression. Utilization of CRISPR/Cas editing in crop species can accelerate crop improvement through the introduction of genetic variation in a targeted manner. The advent of CRISPR/Cas-mediated cis-regulatory region engineering (cis-engineering) provides a more refined method for modulating gene expression and creating phenotypic diversity to benefit crop improvement. Here, we focus on the current applications of CRISPR/Cas-mediated cis-engineering in horticultural crops. We describe strategies and limitations for its use in crop improvement, including de novo cis-regulatory element (CRE) discovery, precise genome editing, and transgene-free genome editing. In addition, we discuss the challenges and prospects regarding current technologies and achievements. CRISPR/Cas-mediated cis-engineering is a critical tool for generating horticultural crops that are better able to adapt to climate change and providing food for an increasing world population.
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Affiliation(s)
- Qiang Li
- College of Horticultural Science and Engineering, Shandong Agricultural University, Tai’an, China
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA USA
| | - Manoj Sapkota
- Institute for Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA USA
| | - Esther van der Knaap
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA USA
- Institute for Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA USA
- Department of Horticulture, University of Georgia, Athens, GA USA
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17
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Guajardo V, Solís S, Almada R, Saski C, Gasic K, Moreno MÁ. Genome-wide SNP identification in Prunus rootstocks germplasm collections using Genotyping-by-Sequencing: phylogenetic analysis, distribution of SNPs and prediction of their effect on gene function. Sci Rep 2020; 10:1467. [PMID: 32001784 PMCID: PMC6992769 DOI: 10.1038/s41598-020-58271-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Accepted: 12/15/2019] [Indexed: 01/09/2023] Open
Abstract
Genotyping-by-Sequencing (GBS) was applied in a set of 53 diploid Prunus rootstocks and five scion cultivars from three subgenera (Amygdalus, Prunus and Cerasus) for genome-wide SNP identification and to assess genetic diversity of both Chilean and Spanish germplasm collections. A group of 45,382 high quality SNPs (MAF >0.05; missing data <5%) were selected for analysis of this group of 58 accessions. These SNPs were distributed in genic and intergenic regions in the eight pseudomolecules of the peach genome (Peach v2.0), with an average of 53% located in exonic regions. The genetic diversity detected among the studied accessions divided them in three groups, which are in agreement with their current taxonomic classification. SNPs were classified based on their putative effect on annotated genes and KOG analysis was carried out to provide a deeper understanding of the function of 119 genes affected by high-impact SNPs. Results demonstrate the high utility for Prunus rootstocks identification and studies of diversity in Prunus species. Also, given the high number of SNPs identified in exonic regions, this strategy represents an important tool for finding candidate genes underlying traits of interest and potential functional markers for use in marker-assisted selection.
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Affiliation(s)
| | - Simón Solís
- Centro de Estudios Avanzados en Fruticultura (CEAF), Rengo, Chile
| | - Rubén Almada
- Centro de Estudios Avanzados en Fruticultura (CEAF), Rengo, Chile
| | - Christopher Saski
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC, 29634, USA
| | - Ksenija Gasic
- Department of Plant and Environmental Sciences, Clemson University, Clemson, SC, 29634, USA
| | - María Ángeles Moreno
- Department of Pomology, Estación Experimental de Aula Dei-CSIC, 50059, Zaragoza, Spain.
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Discovery of Functional SNPs via Genome-Wide Exploration of Malaysian Pigmented Rice Varieties. Int J Genomics 2019; 2019:4168045. [PMID: 31687375 PMCID: PMC6811786 DOI: 10.1155/2019/4168045] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 08/01/2019] [Accepted: 08/19/2019] [Indexed: 01/30/2023] Open
Abstract
Recently, rice breeding program has shown increased interests on the pigmented rice varieties due to their benefits to human health. However, the genetic variation of pigmented rice varieties is still scarce and remains unexplored. Hence, we performed genome-wide SNP analysis from the genome resequencing of four Malaysian pigmented rice varieties, representing two black and two red rice varieties. The genome of four pigmented varieties was mapped against Nipponbare reference genome sequences, and 1.9 million SNPs were discovered. Of these, 622 SNPs with polymorphic sites were identified in 258 protein-coding genes related to metabolism, stress response, and transporter. Comparative analysis of 622 SNPs with polymorphic sites against six rice SNP datasets from the Ensembl Plants variation database was performed, and 70 SNPs were identified as novel SNPs. Analysis of SNPs in the flavonoid biosynthetic genes revealed 40 nonsynonymous SNPs, which has potential as molecular markers for rice seed colour identification. The highlighted SNPs in this study show effort in producing valuable genomic resources for application in the rice breeding program, towards the genetic improvement of new and improved pigmented rice varieties.
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Development of model web-server for crop variety identification using throughput SNP genotyping data. Sci Rep 2019; 9:5122. [PMID: 30914659 PMCID: PMC6435650 DOI: 10.1038/s41598-019-41204-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Accepted: 02/28/2019] [Indexed: 11/23/2022] Open
Abstract
Crop varieties or genotypes of a given species are pivotal for agricultural production and ownership, management and improvement of their germplasm is a great challenge. Its morphological identification requires time, cost and descriptors are often compromised statistically due to phenotypic plasticity. Development of DNA based signature of varieties can overcome these limitations. There is a global need to implement world trade organization (WTO) and intellectual property rights (IPR) guidelines of Plant Breeders Rights (PBR) where DUS (distinctness, uniformity and stability) testing can be supplemented by DNA profile. Universalization and minimization of SNP number without compromising identification accuracy is the major challenge in development of varietal profile by rapid genotype assay. Besides this, there is no server-based approach reducing computational skill with global accessibility of referral phenotypic and genotypic data. We report world’s first model web server for crop variety identification using >350 Indian wheat varieties and Axiom 35 K SNP chip data. Standard filtering and linkage disequilibrium approach were used to develop varietal signature in Linux using HTML, Java, PHP and MySQL with provision of QR code generator to facilitate bar-coding. Phylogenetic tree constructed by selected SNPs confirms six major trait based clusters of varieties and their pedigree. Our user friendly server based tool, VISTa (Variety Identification System of Triticum aestivum) (http://webtom.cabgrid.res.in/vista) can be used in DUS testing having dispute resolution of sovereignty and access benefit sharing (ABS) issues. This model approach can be used in other crops with pan-global level management of crop germplasm in endeavour of crop productivity.
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Uthup TK, Rajamani A, Ravindran M, Saha T. Distinguishing CPT gene family members and vetting the sequence structure of a putative rubber synthesizing variant in Hevea brasiliensis. Gene 2019; 689:183-193. [PMID: 30528269 DOI: 10.1016/j.gene.2018.12.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Revised: 11/21/2018] [Accepted: 12/01/2018] [Indexed: 11/19/2022]
Abstract
cis-Prenyltransferases (cis-PTs) constitute a large family of enzymes conserved during evolution and present in all domains of life. cis-PTs catalyze the cis-1,4-polymerization of isoprene units to generate isoprenoids with carbon skeletons varying from C10 (neryl pyrophosphate) to C > 10,000 (natural rubber). Though the previously reported CPTs in Hevea are designated based on sequence variations, their classification was done mostly by phylogenetic analysis using a mixture of partial as well as full length sequences often excluding the UTRs. In this context an attempt was made to reclassify the CPTs strictly based on their sequence similarity and distinguish the members putatively associated with rubber biosynthesis from the others. Extensive computational analysis was carried out on CPT sequences obtained from public resources and whole genome assemblies of Hevea. Based on the results from BLAST analysis, multiple sequence alignments of protein, nucleotide and untranslated regions, open reading frame analysis, gene prediction analysis and sequence length variations, we conclude that there exists mainly three CPTs namely RubCPT1, RubCPT2 and RubCPT3 putatively associated with rubber biosynthesis in Hevea brasiliensis. The rest were categorised as variants of dehydrodolichyl diphosphate synthase (DHDDS) involved in the synthesis of dolichols having short chain isoprenoids. Analysis of the sequence structure of the most highly expressed RubCPT1 in latex revealed the allele richness and diversity of this important variant prevailing in the popular rubber clones. Haplotypes consisting of SNPs with high degree of heterozygosity were also identified. Segregation and linkage disequilibrium analysis confirmed that recombination is the major contributor towards the generation of allelic diversity rather than point mutations. Alternatively, gene expression analysis indicated the possibility of association between specific haplotypes and RubCPT1 expression in Hevea clones which may have downstream impact up to the level of rubber production. The conclusions from this study may pave way for the identification and better understanding of CPTs directly involved with natural rubber biosynthesis in Hevea and the SNP data generated may aid in the development of molecular markers putatively associated with yield in rubber.
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Affiliation(s)
- Thomas Kadampanattu Uthup
- Genome Analysis Laboratory, Rubber Research Institute of India, Rubber Board P O, Kottayam, Kerala PIN-686009, India.
| | - Anantharamanan Rajamani
- Genome Analysis Laboratory, Rubber Research Institute of India, Rubber Board P O, Kottayam, Kerala PIN-686009, India
| | - Minimol Ravindran
- Genome Analysis Laboratory, Rubber Research Institute of India, Rubber Board P O, Kottayam, Kerala PIN-686009, India
| | - Thakurdas Saha
- Genome Analysis Laboratory, Rubber Research Institute of India, Rubber Board P O, Kottayam, Kerala PIN-686009, India
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Dwivedi SL, Scheben A, Edwards D, Spillane C, Ortiz R. Assessing and Exploiting Functional Diversity in Germplasm Pools to Enhance Abiotic Stress Adaptation and Yield in Cereals and Food Legumes. FRONTIERS IN PLANT SCIENCE 2017; 8:1461. [PMID: 28900432 PMCID: PMC5581882 DOI: 10.3389/fpls.2017.01461] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2017] [Accepted: 08/07/2017] [Indexed: 05/03/2023]
Abstract
There is a need to accelerate crop improvement by introducing alleles conferring host plant resistance, abiotic stress adaptation, and high yield potential. Elite cultivars, landraces and wild relatives harbor useful genetic variation that needs to be more easily utilized in plant breeding. We review genome-wide approaches for assessing and identifying alleles associated with desirable agronomic traits in diverse germplasm pools of cereals and legumes. Major quantitative trait loci and single nucleotide polymorphisms (SNPs) associated with desirable agronomic traits have been deployed to enhance crop productivity and resilience. These include alleles associated with variation conferring enhanced photoperiod and flowering traits. Genetic variants in the florigen pathway can provide both environmental flexibility and improved yields. SNPs associated with length of growing season and tolerance to abiotic stresses (precipitation, high temperature) are valuable resources for accelerating breeding for drought-prone environments. Both genomic selection and genome editing can also harness allelic diversity and increase productivity by improving multiple traits, including phenology, plant architecture, yield potential and adaptation to abiotic stresses. Discovering rare alleles and useful haplotypes also provides opportunities to enhance abiotic stress adaptation, while epigenetic variation has potential to enhance abiotic stress adaptation and productivity in crops. By reviewing current knowledge on specific traits and their genetic basis, we highlight recent developments in the understanding of crop functional diversity and identify potential candidate genes for future use. The storage and integration of genetic, genomic and phenotypic information will play an important role in ensuring broad and rapid application of novel genetic discoveries by the plant breeding community. Exploiting alleles for yield-related traits would allow improvement of selection efficiency and overall genetic gain of multigenic traits. An integrated approach involving multiple stakeholders specializing in management and utilization of genetic resources, crop breeding, molecular biology and genomics, agronomy, stress tolerance, and reproductive/seed biology will help to address the global challenge of ensuring food security in the face of growing resource demands and climate change induced stresses.
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Affiliation(s)
| | - Armin Scheben
- School of Biological Sciences, Institute of Agriculture, University of Western Australia, PerthWA, Australia
| | - David Edwards
- School of Biological Sciences, Institute of Agriculture, University of Western Australia, PerthWA, Australia
| | - Charles Spillane
- Plant and AgriBiosciences Research Centre, Ryan Institute, National University of Ireland GalwayGalway, Ireland
| | - Rodomiro Ortiz
- Department of Plant Breeding, Swedish University of Agricultural SciencesAlnarp, Sweden
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Valdisser PAMR, Pereira WJ, Almeida Filho JE, Müller BSF, Coelho GRC, de Menezes IPP, Vianna JPG, Zucchi MI, Lanna AC, Coelho ASG, de Oliveira JP, Moraes ADC, Brondani C, Vianello RP. In-depth genome characterization of a Brazilian common bean core collection using DArTseq high-density SNP genotyping. BMC Genomics 2017; 18:423. [PMID: 28558696 PMCID: PMC5450071 DOI: 10.1186/s12864-017-3805-4] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2017] [Accepted: 05/17/2017] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Common bean is a legume of social and nutritional importance as a food crop, cultivated worldwide especially in developing countries, accounting for an important source of income for small farmers. The availability of the complete sequences of the two common bean genomes has dramatically accelerated and has enabled new experimental strategies to be applied for genetic research. DArTseq has been widely used as a method of SNP genotyping allowing comprehensive genome coverage with genetic applications in common bean breeding programs. RESULTS Using this technology, 6286 SNPs (1 SNP/86.5 Kbp) were genotyped in genic (43.3%) and non-genic regions (56.7%). Genetic subdivision associated to the common bean gene pools (K = 2) and related to grain types (K = 3 and K = 5) were reported. A total of 83% and 91% of all SNPs were polymorphic within the Andean and Mesoamerican gene pools, respectively, and 26% were able to differentiate the gene pools. Genetic diversity analysis revealed an average H E of 0.442 for the whole collection, 0.102 for Andean and 0.168 for Mesoamerican gene pools (F ST = 0.747 between gene pools), 0.440 for the group of cultivars and lines, and 0.448 for the group of landrace accessions (F ST = 0.002 between cultivar/line and landrace groups). The SNP effects were predicted with predominance of impact on non-coding regions (77.8%). SNPs under selection were identified within gene pools comparing landrace and cultivar/line germplasm groups (Andean: 18; Mesoamerican: 69) and between the gene pools (59 SNPs), predominantly on chromosomes 1 and 9. The LD extension estimate corrected for population structure and relatedness (r2SV) was ~ 88 kbp, while for the Andean gene pool was ~ 395 kbp, and for the Mesoamerican was ~ 130 kbp. CONCLUSIONS For common bean, DArTseq provides an efficient and cost-effective strategy of generating SNPs for large-scale genome-wide studies. The DArTseq resulted in an operational panel of 560 polymorphic SNPs in linkage equilibrium, providing high genome coverage. This SNP set could be used in genotyping platforms with many applications, such as population genetics, phylogeny relation between common bean varieties and support to molecular breeding approaches.
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Affiliation(s)
- Paula A. M. R. Valdisser
- Embrapa Arroz e Feijão (CNPAF), Santo Antônio de Goiás, Goiânia, GO Brazil
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Estadual de Campinas (UNICAMP), Campinas, SP Brazil
| | - Wendell J. Pereira
- Programa de Pós-Graduação em Biologia Molecular, Universidade de Brasília (UnB), Brasília, DF Brazil
| | - Jâneo E. Almeida Filho
- Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), Campos dos Goytacazes, Rio de Janeiro, RJ Brazil
| | - Bárbara S. F. Müller
- Programa de Pós-Graduação em Biologia Molecular, Universidade de Brasília (UnB), Brasília, DF Brazil
| | | | - Ivandilson P. P. de Menezes
- Laboratório de Genética e Biologia Molecular, Departamento de Biologia, Instituto Federal Goiano (IF Goiano), Urutaí, GO Brazil
| | - João P. G. Vianna
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Estadual de Campinas (UNICAMP), Campinas, SP Brazil
| | - Maria I. Zucchi
- Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Estadual de Campinas (UNICAMP), Campinas, SP Brazil
| | - Anna C. Lanna
- Embrapa Arroz e Feijão (CNPAF), Santo Antônio de Goiás, Goiânia, GO Brazil
| | | | | | | | - Claudio Brondani
- Embrapa Arroz e Feijão (CNPAF), Santo Antônio de Goiás, Goiânia, GO Brazil
| | - Rosana P. Vianello
- Embrapa Arroz e Feijão (CNPAF), Santo Antônio de Goiás, Goiânia, GO Brazil
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