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Zhao R, Huang N, Zhang Z, Luo W, Xiang J, Xu Y, Wang Y. Genetic Diversity Analysis and Prediction of Potential Suitable Areas for the Rare and Endangered Wild Plant Henckelia longisepala. PLANTS (BASEL, SWITZERLAND) 2024; 13:2093. [PMID: 39124211 PMCID: PMC11314309 DOI: 10.3390/plants13152093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Revised: 07/27/2024] [Accepted: 07/27/2024] [Indexed: 08/12/2024]
Abstract
Henckelia longisepala (H. W. Li) D. J. Middleton & Mich. Möller is a rare and endangered plant species found only in Southeastern Yunnan, China, and Northern Vietnam. It is listed as a threatened species in China and recognized as a plant species with extremely small populations (PSESP), while also having high ornamental value and utilization potential. This study used ddRAD-seq technology to quantify genetic diversity and structure for 32 samples from three extant populations of H. longisepala. The H. longisepala populations were found to have low levels of genetic diversity (Ho = 0.1216, He = 0.1302, Pi = 0.1731, FIS = 0.1456), with greater genetic differentiation observed among populations (FST = 0.3225). As indicated by genetic structure and phylogenetic analyses, samples clustered into three distinct genetic groups that corresponded to geographically separate populations. MaxEnt modeling was used to identify suitable areas for H. longisepala across three time periods and two climate scenarios (SSP1-2.6, SSP5-8.5). High-suitability areas were identified in Southeastern Yunnan Province, Northern Vietnam, and Eastern Laos. Future H. longisepala distribution was predicted to remain centered in these areas, but with a decrease in the total amount of suitable habitat. The present study provides key data on H. longisepala genetic diversity, as well as a theoretical basis for the conservation, development, and utilization of its germplasm resources.
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Affiliation(s)
- Renfen Zhao
- College of Forestry, Southwest Forestry University, Kunming 650224, China; (R.Z.); (N.H.); (Z.Z.); (W.L.); (J.X.)
| | - Nian Huang
- College of Forestry, Southwest Forestry University, Kunming 650224, China; (R.Z.); (N.H.); (Z.Z.); (W.L.); (J.X.)
| | - Zhiyan Zhang
- College of Forestry, Southwest Forestry University, Kunming 650224, China; (R.Z.); (N.H.); (Z.Z.); (W.L.); (J.X.)
| | - Wei Luo
- College of Forestry, Southwest Forestry University, Kunming 650224, China; (R.Z.); (N.H.); (Z.Z.); (W.L.); (J.X.)
| | - Jianying Xiang
- College of Forestry, Southwest Forestry University, Kunming 650224, China; (R.Z.); (N.H.); (Z.Z.); (W.L.); (J.X.)
- Yunnan Academy of Biodiversity, Southwest Forestry University, Kunming 650224, China
| | - Yuanjie Xu
- College of Soil and Water Conservation, Southwest Forestry University, Kunming 650224, China
| | - Yizhi Wang
- College of Forestry, Southwest Forestry University, Kunming 650224, China; (R.Z.); (N.H.); (Z.Z.); (W.L.); (J.X.)
- Yunnan Academy of Biodiversity, Southwest Forestry University, Kunming 650224, China
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Doublet M, Degalez F, Lagarrigue S, Lagoutte L, Gueret E, Allais S, Lecerf F. Variant calling and genotyping accuracy of ddRAD-seq: Comparison with 20X WGS in layers. PLoS One 2024; 19:e0298565. [PMID: 39058708 PMCID: PMC11280156 DOI: 10.1371/journal.pone.0298565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 05/23/2024] [Indexed: 07/28/2024] Open
Abstract
Whole Genome Sequencing (WGS) remains a costly or unsuitable method for routine genotyping of laying hens. Until now, breeding companies have been using or developing SNP chips. Nevertheless, alternatives methods based on sequencing have been developed. Among these, reduced representation sequencing approaches can offer sequencing quality and cost-effectiveness by reducing the genomic regions covered by sequencing. The aim of this study was to evaluate the ability of double digested Restriction site Associated DNA sequencing (ddRAD-seq) to identify and genotype SNPs in laying hens, by comparison with a presumed reliable WGS approach. Firstly, the sensitivity and precision of variant calling and the genotyping reliability of ddRADseq were determined. Next, the SNP Call Rate (CRSNP) and mean depth of sequencing per SNP (DPSNP) were compared between both methods. Finally, the effect of multiple combinations of thresholds for these parameters on genotyping reliability and amount of remaining SNPs in ddRAD-seq was studied. In raw form, the ddRAD-seq identified 349,497 SNPs evenly distributed on the genome with a CRSNP of 0.55, a DPSNP of 11X and a mean genotyping reliability rate per SNP of 80%. Considering genomic regions covered by expected enzymatic fragments (EFs), the sensitivity of the ddRAD-seq was estimated at 32.4% and its precision at 96.4%. The low CRSNP and DPSNP values were explained by the detection of SNPs outside the EFs theoretically generated by the ddRAD-seq protocol. Indeed, SNPs outside the EFs had significantly lower CRSNP (0.25) and DPSNP (1X) values than SNPs within the EFs (0.7 and 17X, resp.). The study demonstrated the relationship between CRSNP, DPSNP, genotyping reliability and the number of SNPs retained, to provide a decision-support tool for defining filtration thresholds. Severe quality control over ddRAD-seq data allowed to retain a minimum of 40% of the SNPs with a CcR of 98%. Then, ddRAD-seq was defined as a suitable method for variant calling and genotyping in layers.
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Affiliation(s)
| | | | | | | | - Elise Gueret
- MGX-Montpellier GenomiX, Univ. Montpellier, CNRS, INSERM, Montpellier, France
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Vega A, Brainard SH, Goldman IL. Linkage mapping of root shape traits in two carrot populations. G3 (BETHESDA, MD.) 2024; 14:jkae041. [PMID: 38412554 PMCID: PMC10989876 DOI: 10.1093/g3journal/jkae041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 02/07/2024] [Accepted: 02/10/2024] [Indexed: 02/29/2024]
Abstract
This study investigated the genetic basis of carrot root shape traits using composite interval mapping in two biparental populations (n = 119 and n = 128). The roots of carrot F2:3 progenies were grown over 2 years and analyzed using a digital imaging pipeline to extract root phenotypes that compose market class. Broad-sense heritability on an entry-mean basis ranged from 0.46 to 0.80 for root traits. Reproducible quantitative trait loci (QTL) were identified on chromosomes 2 and 6 on both populations. Colocalization of QTLs for phenotypically correlated root traits was also observed and coincided with previously identified QTLs in published association and linkage mapping studies. Individual QTLs explained between 14 and 27% of total phenotypic variance across traits, while four QTLs for length-to-width ratio collectively accounted for up to 73% of variation. Predicted genes associated with the OFP-TRM (OVATE Family Proteins-TONNEAU1 Recruiting Motif) and IQD (IQ67 domain) pathway were identified within QTL support intervals. This observation raises the possibility of extending the current regulon model of fruit shape to include carrot storage roots. Nevertheless, the precise molecular mechanisms through which this pathway operates in roots characterized by secondary growth originating from cambium layers remain unknown.
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Affiliation(s)
- Andrey Vega
- Department of Plant and Agroecosystem Sciences, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Scott H Brainard
- Department of Plant and Agroecosystem Sciences, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Irwin L Goldman
- Department of Plant and Agroecosystem Sciences, University of Wisconsin-Madison, Madison, WI 53706, USA
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Aguirre NC, Villalba PV, García MN, Filippi CV, Rivas JG, Martínez MC, Acuña CV, López AJ, López JA, Pathauer P, Palazzini D, Harrand L, Oberschelp J, Marcó MA, Cisneros EF, Carreras R, Martins Alves AM, Rodrigues JC, Hopp HE, Grattapaglia D, Cappa EP, Paniego NB, Marcucci Poltri SN. Comparison of ddRADseq and EUChip60K SNP genotyping systems for population genetics and genomic selection in Eucalyptus dunnii (Maiden). Front Genet 2024; 15:1361418. [PMID: 38606359 PMCID: PMC11008695 DOI: 10.3389/fgene.2024.1361418] [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: 12/26/2023] [Accepted: 02/19/2024] [Indexed: 04/13/2024] Open
Abstract
Eucalyptus dunnii is one of the most important Eucalyptus species for short-fiber pulp production in regions where other species of the genus are affected by poor soil and climatic conditions. In this context, E. dunnii holds promise as a resource to address and adapt to the challenges of climate change. Despite its rapid growth and favorable wood properties for solid wood products, the advancement of its improvement remains in its early stages. In this work, we evaluated the performance of two single nucleotide polymorphism, (SNP), genotyping methods for population genetics analysis and Genomic Selection in E. dunnii. Double digest restriction-site associated DNA sequencing (ddRADseq) was compared with the EUChip60K array in 308 individuals from a provenance-progeny trial. The compared SNP set included 8,011 and 19,008 informative SNPs distributed along the 11 chromosomes, respectively. Although the two datasets differed in the percentage of missing data, genome coverage, minor allele frequency and estimated genetic diversity parameters, they revealed a similar genetic structure, showing two subpopulations with little differentiation between them, and low linkage disequilibrium. GS analyses were performed for eleven traits using Genomic Best Linear Unbiased Prediction (GBLUP) and a conventional pedigree-based model (ABLUP). Regardless of the SNP dataset, the predictive ability (PA) of GBLUP was better than that of ABLUP for six traits (Cellulose content, Total and Ethanolic extractives, Total and Klason lignin content and Syringyl and Guaiacyl lignin monomer ratio). When contrasting the SNP datasets used to estimate PAs, the GBLUP-EUChip60K model gave higher and significant PA values for six traits, meanwhile, the values estimated using ddRADseq gave higher values for three other traits. The PAs correlated positively with narrow sense heritabilities, with the highest correlations shown by the ABLUP and GBLUP-EUChip60K. The two genotyping methods, ddRADseq and EUChip60K, are generally comparable for population genetics and genomic prediction, demonstrating the utility of the former when subjected to rigorous SNP filtering. The results of this study provide a basis for future whole-genome studies using ddRADseq in non-model forest species for which SNP arrays have not yet been developed.
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Affiliation(s)
| | | | - Martín Nahuel García
- Instituto de Agrobiotecnología y Biología Molecular, UEDD INTA-CONICET, Hurlingham, Argentina
| | - Carla Valeria Filippi
- Instituto de Agrobiotecnología y Biología Molecular, UEDD INTA-CONICET, Hurlingham, Argentina
- Laboratorio de Bioquímica, Departamento de Biología Vegetal, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay
| | - Juan Gabriel Rivas
- Instituto de Agrobiotecnología y Biología Molecular, UEDD INTA-CONICET, Hurlingham, Argentina
| | - María Carolina Martínez
- Instituto de Agrobiotecnología y Biología Molecular, UEDD INTA-CONICET, Hurlingham, Argentina
| | - Cintia Vanesa Acuña
- Instituto de Agrobiotecnología y Biología Molecular, UEDD INTA-CONICET, Hurlingham, Argentina
| | - Augusto J. López
- Estación Experimental Agropecuaria de Bella Vista, Instituto Nacional de Tecnología Agropecuaria, Bella Vista, Argentina
| | - Juan Adolfo López
- Estación Experimental Agropecuaria de Bella Vista, Instituto Nacional de Tecnología Agropecuaria, Bella Vista, Argentina
| | - Pablo Pathauer
- Instituto de Recursos Biológicos, Instituto Nacional de Tecnología Agropecuaria, Hurlingham, Argentina
| | - Dino Palazzini
- Instituto de Recursos Biológicos, Instituto Nacional de Tecnología Agropecuaria, Hurlingham, Argentina
| | - Leonel Harrand
- Estación Experimental Agropecuaria de Concordia, Instituto Nacional de Tecnología Agropecuaria, Concordia, Argentina
| | - Javier Oberschelp
- Estación Experimental Agropecuaria de Concordia, Instituto Nacional de Tecnología Agropecuaria, Concordia, Argentina
| | - Martín Alberto Marcó
- Estación Experimental Agropecuaria de Concordia, Instituto Nacional de Tecnología Agropecuaria, Concordia, Argentina
| | - Esteban Felipe Cisneros
- Facultad de Ciencias Forestales, Universidad Nacional de Santiago del Estero (UNSE), Santiago del Estero, Argentina
| | - Rocío Carreras
- Facultad de Ciencias Forestales, Universidad Nacional de Santiago del Estero (UNSE), Santiago del Estero, Argentina
| | - Ana Maria Martins Alves
- Centro de Estudos Florestais e Laboratório Associado TERRA, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, Lisboa, Portugal
| | - José Carlos Rodrigues
- Centro de Estudos Florestais e Laboratório Associado TERRA, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, Lisboa, Portugal
| | - H. Esteban Hopp
- Instituto de Agrobiotecnología y Biología Molecular, UEDD INTA-CONICET, Hurlingham, Argentina
| | - Dario Grattapaglia
- Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA), Recursos Genéticos e Biotecnologia, Brasilia, Brazil
| | - Eduardo Pablo Cappa
- Instituto de Recursos Biológicos, Instituto Nacional de Tecnología Agropecuaria, Hurlingham, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina
| | - Norma Beatriz Paniego
- Instituto de Agrobiotecnología y Biología Molecular, UEDD INTA-CONICET, Hurlingham, Argentina
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Aguirre NC, Filippi CV, Vera PA, Puebla AF, Zaina G, Lia VV, Marcucci Poltri SN, Paniego NB. Double Digest Restriction-Site Associated DNA Sequencing (ddRADseq) Technology. Methods Mol Biol 2023; 2638:37-57. [PMID: 36781634 DOI: 10.1007/978-1-0716-3024-2_4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Abstract
Double digest restriction-site associated DNA sequencing (ddRADseq) technology combines genome reduced representation by digestion with two restriction enzymes and next generation sequencing (NGS) to obtain thousands of markers (SNP, SSR, and InDels) and genotype tens to hundreds of samples simultaneously. In this chapter, we describe a 96-plex derived ddRADseq protocol that can be set up to obtain different depth of coverage per locus and can be exploited to model and non-model plant species.
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Affiliation(s)
- Natalia Cristina Aguirre
- Instituto de Agrobiotecnología y Biología Molecular (IABiMo), Unidad Ejecutora de Doble Dependencia Instituto Nacional de Tecnología Agropecuaria (INTA) - Consejo Nacional de Ciencia y Técnica (CONICET), Hurlingham, Argentina.
| | - Carla Valeria Filippi
- Instituto de Agrobiotecnología y Biología Molecular (IABiMo), Unidad Ejecutora de Doble Dependencia Instituto Nacional de Tecnología Agropecuaria (INTA) - Consejo Nacional de Ciencia y Técnica (CONICET), Hurlingham, Argentina.,Laboratorio de Bioquímica, Departamento de Biología Vegetal, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay
| | - Pablo Alfredo Vera
- Instituto de Agrobiotecnología y Biología Molecular (IABiMo), Unidad Ejecutora de Doble Dependencia Instituto Nacional de Tecnología Agropecuaria (INTA) - Consejo Nacional de Ciencia y Técnica (CONICET), Hurlingham, Argentina
| | - Andrea Fabiana Puebla
- Instituto de Agrobiotecnología y Biología Molecular (IABiMo), Unidad Ejecutora de Doble Dependencia Instituto Nacional de Tecnología Agropecuaria (INTA) - Consejo Nacional de Ciencia y Técnica (CONICET), Hurlingham, Argentina
| | - Giusi Zaina
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, Udine, Italy
| | - Verónica Viviana Lia
- Instituto de Agrobiotecnología y Biología Molecular (IABiMo), Unidad Ejecutora de Doble Dependencia Instituto Nacional de Tecnología Agropecuaria (INTA) - Consejo Nacional de Ciencia y Técnica (CONICET), Hurlingham, Argentina
| | - Susana Noemí Marcucci Poltri
- Instituto de Agrobiotecnología y Biología Molecular (IABiMo), Unidad Ejecutora de Doble Dependencia Instituto Nacional de Tecnología Agropecuaria (INTA) - Consejo Nacional de Ciencia y Técnica (CONICET), Hurlingham, Argentina
| | - Norma Beatriz Paniego
- Instituto de Agrobiotecnología y Biología Molecular (IABiMo), Unidad Ejecutora de Doble Dependencia Instituto Nacional de Tecnología Agropecuaria (INTA) - Consejo Nacional de Ciencia y Técnica (CONICET), Hurlingham, Argentina
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Molina C, Aguirre NC, Vera PA, Filippi CV, Puebla AF, Poltri SNM, Paniego NB, Acevedo A. ddRADseq-mediated detection of genetic variants in sugarcane. PLANT MOLECULAR BIOLOGY 2023; 111:205-219. [PMID: 36367622 DOI: 10.1007/s11103-022-01322-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 10/17/2022] [Indexed: 06/16/2023]
Abstract
KEY MESSAGE The article presents an optimization of the key parameters for the identification of SNPs in sugarcane using a GBS protocol based on two Illumina NextSeq and NovaSeq platforms. Sugarcane (Saccharum sp.), a world-wide known feedstock for sugar production, bioethanol, and energy, has an extremely complex genome, being highly polyploid and aneuploid. A double-digestion restriction site-associated DNA sequencing protocol (ddRADseq) was tested in four commercial sugarcane hybrids and one high-fibre biotype for the detection of single nucleotide polymorphisms (SNPs). In this work we tested two Illumina sequencing platforms, read size (70 vs. 150 bp), different sequencing coverage per individual (medium and high coverage), and single-reads versus paired-end reads. We also explored different variant calling strategies (with and without reference genome) and filtering schemes [combining two minor allele frequencies (MAFs) with three depth of coverage thresholds]. For the discovery of a large number of novel SNPs in sugarcane, we recommend longer size and paired-end reads, medium sequencing coverage per individual and Illumina platform NovaSeq6000 for a cost-effective approach, and filter parameters of lower MAF and higher depth coverages thresholds. Although the de novo analysis retrieved more SNPs, the reference-based method allows downstream characterization of variants. For the two best performing matrices, the number of SNPs per chromosome correlated positively with chromosome length, demonstrating the presence of variants throughout the genome. Multivariate comparisons, with both matrices, showed closer relationships among commercial hybrids than with the high-fibre biotype. Functional analysis of the SNPs demonstrated that more than half of them landed within regulatory regions, whereas the other half affected coding, intergenic and intronic regions. Allelic distances values were lower than 0.07 when analysing two replicated genotypes, confirming the protocol robustness.
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Affiliation(s)
- Catalina Molina
- Instituto de Suelos, Centro de Investigación de Recursos Naturales, Instituto Nacional de Tecnología Agropecuaria (INTA), Hurlingham, Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| | - Natalia Cristina Aguirre
- Instituto de Agrobiotecnología y Biología Molecular (INTA-CONICET), formerly Instituto de Biotecnología, CICVyA, INTA, Hurlingham, Buenos Aires, Argentina
| | - Pablo Alfredo Vera
- Instituto de Agrobiotecnología y Biología Molecular (INTA-CONICET), formerly Instituto de Biotecnología, CICVyA, INTA, Hurlingham, Buenos Aires, Argentina
| | - Carla Valeria Filippi
- Instituto de Agrobiotecnología y Biología Molecular (INTA-CONICET), formerly Instituto de Biotecnología, CICVyA, INTA, Hurlingham, Buenos Aires, Argentina
- Laboratorio de Bioquímica, Departamento de Biología Vegetal, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay
| | - Andrea Fabiana Puebla
- Instituto de Agrobiotecnología y Biología Molecular (INTA-CONICET), formerly Instituto de Biotecnología, CICVyA, INTA, Hurlingham, Buenos Aires, Argentina
| | - Susana Noemí Marcucci Poltri
- Instituto de Agrobiotecnología y Biología Molecular (INTA-CONICET), formerly Instituto de Biotecnología, CICVyA, INTA, Hurlingham, Buenos Aires, Argentina
| | - Norma Beatriz Paniego
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
- Instituto de Agrobiotecnología y Biología Molecular (INTA-CONICET), formerly Instituto de Biotecnología, CICVyA, INTA, Hurlingham, Buenos Aires, Argentina
| | - Alberto Acevedo
- Instituto de Suelos, Centro de Investigación de Recursos Naturales, Instituto Nacional de Tecnología Agropecuaria (INTA), Hurlingham, Buenos Aires, Argentina.
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Negi A, Singh K, Jaiswal S, Kokkat JG, Angadi UB, Iquebal MA, Umadevi P, Rai A, Kumar D. Rapid Genome-Wide Location-Specific Polymorphic SSR Marker Discovery in Black Pepper by GBS Approach. FRONTIERS IN PLANT SCIENCE 2022; 13:846937. [PMID: 35712605 PMCID: PMC9197322 DOI: 10.3389/fpls.2022.846937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 04/19/2022] [Indexed: 06/15/2023]
Abstract
Black pepper (Piper nigrum), the "King of Spices," is an economically important spice in India and is known for its medicinal and cultural values. SSRs, the tandem repeats of small DNA sequences, are often polymorphic in nature with diverse applications. For population structure, QTL/gene discovery, MAS, and diversity analysis, it is imperative to have their location specificity. The existing PinigSSRdb catalogs ~70K putative SSR markers but these are anonymous (unknown chromosomal location), based on 916 scaffolds rather than 26 chromosomes. Under this study, we generated ddRAD sequence data of 29 black pepper genotypes from all over India, being low-cost and most efficient technique for the identification of polymorphic markers. The major limitation of ddRAD with compromised/non-uniform coverage has been successfully overcome by taking advantage of chromosome-wise data availability. The latest black pepper genome assembly was used to extract genome-wide SSRs. A total of 276,230 genomic SSRs were mined distributed over 26 chromosomes, with relative density of 362.88 SSRs/Mb and average distance of 2.76 Kb between two SSRs. This assembly was also used to find the polymorphic SSRs in the generated GBS data of 29 black pepper genotypes utilizing rapid and cost-effective method giving 3,176 polymorphic SSRs, out of which 2015 were found to be hypervariable. The developed web-genomic resource, BlackP2MSATdb (http://webtom.cabgrid.res.in/blackp2msatdb/), is the largest and first reported web resource for genomic and polymorphic SSRs of black pepper, which is useful to develop varietal signature, coreset, physical map, QTL/gene identification, and MAS in endeavor of black pepper production.
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Affiliation(s)
- Ankita Negi
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research-Indian Agricultural Statistical Research Institute, PUSA, New Delhi, India
| | - Kalpana Singh
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research-Indian Agricultural Statistical Research Institute, PUSA, New Delhi, India
| | - Sarika Jaiswal
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research-Indian Agricultural Statistical Research Institute, PUSA, New Delhi, India
| | - Johnson George Kokkat
- Indian Council of Agricultural Research-Indian Institute of Spices Research, Kozhikode, India
| | - Ulavappa B. Angadi
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research-Indian Agricultural Statistical Research Institute, PUSA, New Delhi, India
| | - Mir Asif Iquebal
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research-Indian Agricultural Statistical Research Institute, PUSA, New Delhi, India
| | - P. Umadevi
- Indian Council of Agricultural Research-Indian Institute of Spices Research, Kozhikode, India
| | - Anil Rai
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research-Indian Agricultural Statistical Research Institute, PUSA, New Delhi, India
| | - Dinesh Kumar
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research-Indian Agricultural Statistical Research Institute, PUSA, New Delhi, India
- Department of Biotechnology, School of Interdisciplinary and Applied Sciences, Central University of Haryana, Mahendragarh, India
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