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Mbo Nkoulou LF, Nkouandou YF, Ngalle HB, Cros D, Martin G, Molo T, Eya'a C, Essome C, Zandjanakou-Tachin M, Degbey H, Bell J, Achigan-Dako EG. Screening of Triploid Banana Population Under Natural and Controlled Black Sigatoka Disease for Genomic Selection. PLANT DISEASE 2024:PDIS04230741RE. [PMID: 38243182 DOI: 10.1094/pdis-04-23-0741-re] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2024]
Abstract
Black sigatoka disease (BSD) is the most important foliar threat in banana production, and breeding efforts against it should take advantage of genomic selection (GS), which has become one of the most explored tools to increase genetic gain, save time, and reduce selection costs. To evaluate the potential of GS in banana for BSD, 210 triploid accessions were obtained from the African Banana and Plantain Research Center to constitute a training population. The variability in the population was assessed at the phenotypic level using BSD- and agronomic-related traits and at the molecular level using single-nucleotide polymorphisms (SNPs). The analysis of variance showed a significant difference between accessions for almost all traits measured, although at the genomic group level, there was no significant difference for BSD-related traits. The index of non-spotted leaves among accessions ranged from 0.11 to 0.8. The accessions screening in controlled conditions confirmed the susceptibility of all genomic groups to BSD. The principal components analysis with phenotypic data revealed no clear diversity partition of the population. However, the structure analysis and the hierarchical clustering analysis with SNPs grouped the population into four clusters and two subpopulations, respectively. The field and laboratory screening of the banana GS training population confirmed that all genomic groups are susceptible to BSD but did not reveal any genetic structure, whereas SNP markers exhibited clear genetic structure and provided useful information in the perspective of applying GS.
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Affiliation(s)
- Luther Fort Mbo Nkoulou
- Genetics, Biotechnology, and Seed Science Unit (GBioS), Laboratory of Crop Production, Physiology, Genetics and Plant Breeding (PAGEV), University of Abomey-Calavi, Abomey-Calavi, School of Plant Sciences, Cotonou, Republic of Benin
- Unit of genetics and plant Breeding (UGAP), Department of Plant Biology, Faculty of Science, University of Yaoundé 1, Yaoundé, Cameroon
- Institute of Agricultural Research for Development, Mbalmayo Agricultural Research Centre (CRA-MB) Mbalmayo, Mbalmayo, Cameroon
- Centre de Recherche et d'Accompagnement des Producteurs Agro-pastoraux du Cameroun, Boumyebel, Cameroun
| | - Yacouba Fifen Nkouandou
- Unit of genetics and plant Breeding (UGAP), Department of Plant Biology, Faculty of Science, University of Yaoundé 1, Yaoundé, Cameroon
| | - Hermine Bille Ngalle
- Unit of genetics and plant Breeding (UGAP), Department of Plant Biology, Faculty of Science, University of Yaoundé 1, Yaoundé, Cameroon
| | - David Cros
- Unité Mixte de Recherche (UMR), Amélioration Génétique et Adaptation des Plantes méditerranéennes et tropicales (AGAP) Institut, Centre de coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAE), Montpellier, France
- Centre de coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), Unité Mixte de Recherche (UMR), Amélioration Génétique et Adaptation des Plantes méditerranéennes et tropicales (AGAP) Institut, F-34398 Montpellier, France
| | - Guillaume Martin
- Unité Mixte de Recherche (UMR), Amélioration Génétique et Adaptation des Plantes méditerranéennes et tropicales (AGAP) Institut, Centre de coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAE), Montpellier, France
- Centre de coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), Unité Mixte de Recherche (UMR), Amélioration Génétique et Adaptation des Plantes méditerranéennes et tropicales (AGAP) Institut, F-34398 Montpellier, France
| | - Thierry Molo
- Unit of genetics and plant Breeding (UGAP), Department of Plant Biology, Faculty of Science, University of Yaoundé 1, Yaoundé, Cameroon
- Centre de Recherche et d'Accompagnement des Producteurs Agro-pastoraux du Cameroun, Boumyebel, Cameroun
| | - Clement Eya'a
- Unit of genetics and plant Breeding (UGAP), Department of Plant Biology, Faculty of Science, University of Yaoundé 1, Yaoundé, Cameroon
- Lipids analysis Laboratory, Institute of Agricultural Research for Development, Specialized Station for Oil Palm of La Dibamba, Douala, Cameroon
| | - Charles Essome
- Laboratory of Phytopathology and Crop Protection, Department of Plant Biology, University of Yaoundé I, 812, Yaoundé, Cameroon
| | - Martine Zandjanakou-Tachin
- School of Horticulture and Landscape Management (UNA), National University of Agriculture, Ketou, Republic of Benin
| | - Hervé Degbey
- Genetics, Biotechnology, and Seed Science Unit (GBioS), Laboratory of Crop Production, Physiology, Genetics and Plant Breeding (PAGEV), University of Abomey-Calavi, Abomey-Calavi, School of Plant Sciences, Cotonou, Republic of Benin
| | - Joseph Bell
- Unit of genetics and plant Breeding (UGAP), Department of Plant Biology, Faculty of Science, University of Yaoundé 1, Yaoundé, Cameroon
| | - Enoch G Achigan-Dako
- Genetics, Biotechnology, and Seed Science Unit (GBioS), Laboratory of Crop Production, Physiology, Genetics and Plant Breeding (PAGEV), University of Abomey-Calavi, Abomey-Calavi, School of Plant Sciences, Cotonou, Republic of Benin
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Dikane GMH, Sedibe MM. Genetic Heterogeneity in Cowpea Genotypes ( Vigna unguiculata L. Walp) Using DArTseq (GBS)-Derived Single Nucleotide Polymorphisms. Genes (Basel) 2024; 15:764. [PMID: 38927700 PMCID: PMC11202451 DOI: 10.3390/genes15060764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 05/31/2024] [Accepted: 06/07/2024] [Indexed: 06/28/2024] Open
Abstract
Cowpeas (Vigna unguiculata L. Walp) have been credible constituents of nutritious food and forage in human and animal diets since the Neolithic era. The modern technique of Diversity Array Technology (DArTseq) is both cost-effective and rapid in producing thousands of high-throughputs, genotyped, single nucleotide polymorphisms (SNPs) in wide-genomic analyses of genetic diversity. The aim of this study was to assess the heterogeneity in cowpea genotypes using DArTseq-derived SNPs. A total of 92 cowpea genotypes were selected, and their fourteen-day-old leaves were freeze-dried for five days. DNA was extracted using the CTAB protocol, genotyped using DArTseq, and analysed using DArTsoft14. A total of 33,920 DArTseq-derived SNPs were recalled for filtering analysis, with a final total of 16,960 SNPs. The analyses were computed using vcfR, poppr, and ape in R Studio v1.2.5001-3 software. The heatmap revealed that the TVU 9596 (SB26), Orelu (SB72), 90K-284-2 (SB55), RV 403 (SB17), and RV 498 (SB16) genotypes were heterogenous. The mean values for polymorphic information content, observed heterozygosity, expected heterozygosity, major allele frequency, and the inbreeding coefficient were 0.345, 0.386, 0.345, 0.729, and 0.113, respectively. Moreover, they validated the diversity of the evaluated cowpea genotypes, which could be used for potential breeding programmes and management of cowpea germplasm.
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Affiliation(s)
| | - Moosa Mahmood Sedibe
- Department of Agriculture, Faculty of Health and Environmental Sciences, Central University of Technology, Private Bag x20529, Bloemfontein 9301, South Africa;
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Mwale SE, Shimelis H, Abincha W, Nkhata W, Sefasi A, Mashilo J. Genetic differentiation of a southern Africa tepary bean (Phaseolus acutifolius A Gray) germplasm collection using high-density DArTseq SNP markers. PLoS One 2023; 18:e0295773. [PMID: 38096255 PMCID: PMC10721083 DOI: 10.1371/journal.pone.0295773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 11/29/2023] [Indexed: 12/17/2023] Open
Abstract
Genetic resources of tepary bean (Phaseolus acutifolius A. Gray) germplasm collections are not well characterized due to a lack of dedicated genomic resources. There is a need to assemble genomic resources specific to tepary bean for germplasm characterization, heterotic grouping, and breeding. Therefore, the objectives of this study were to deduce the genetic groups in tepary bean germplasm collection using high-density Diversity Array Technology (DArT) based single nucleotide polymorphism (SNP) markers and select contrasting genotypes for breeding. Seventy-eight tepary bean accessions were genotyped using 10527 SNPs markers, and genetic parameters were estimated. Population structure was delineated using principal component and admixture analyses. A mean polymorphic information content (PIC) of 0.27 was recorded, indicating a relatively low genetic resolution of the developed SNPs markers. Low genetic variation (with a genetic distance [GD] = 0.32) existed in the assessed tepary bean germplasm collection. Population structure analysis identified five sub-populations through sparse non-negative matrix factorization (snmf) with high admixtures. Analysis of molecular variance indicated high genetic differentiation within populations (61.88%) and low between populations (38.12%), indicating high gene exchange. The five sub-populations exhibited variable fixation index (FST). The following genetically distant accessions were selected: Cluster 1:Tars-Tep 112, Tars-Tep 10, Tars-Tep 23, Tars-Tep-86, Tars-Tep-83, and Tars-Tep 85; Cluster 3: G40022, Tars-Tep-93, and Tars-Tep-100; Cluster 5: Zimbabwe landrace, G40017, G40143, and G40150. The distantly related and contrasting accessions are useful to initiate crosses to enhance genetic variation and for the selection of economic traits in tepary bean.
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Affiliation(s)
- Saul Eric Mwale
- School of Agricultural, Earth and Environmental Sciences, African Centre for Crop Improvement (ACCI), University of KwaZulu-Natal, Pietermaritzburg, South Africa
- Biological Sciences Department, The African Centre of Excellence in Neglected and Underutilized Biodiversity (ACENUB), Mzuzu University, Luwinga, Mzuzu, Malawi
| | - Hussein Shimelis
- School of Agricultural, Earth and Environmental Sciences, African Centre for Crop Improvement (ACCI), University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - Wilfred Abincha
- Kenya Agricultural and Livestock Research Organization (KALRO), Non-Ruminant Research Institute, Kakamega, Kenya
| | - Wilson Nkhata
- School of Agricultural, Earth and Environmental Sciences, African Centre for Crop Improvement (ACCI), University of KwaZulu-Natal, Pietermaritzburg, South Africa
- Alliance of Bioversity International Institute of Tropical Agriculture (CIAT), Chitedze Agricultural Station, Lilongwe, Malawi
| | - Abel Sefasi
- Lilongwe University of Agriculture and Natural Resources, Lilongwe, Malawi
| | - Jacob Mashilo
- School of Agricultural, Earth and Environmental Sciences, African Centre for Crop Improvement (ACCI), University of KwaZulu-Natal, Pietermaritzburg, South Africa
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Fritsche-Neto R, Ali J, De Asis EJ, Allahgholipour M, Labroo MR. Improving hybrid rice breeding programs via stochastic simulations: number of parents, number of hybrids, tester update, and genomic prediction of hybrid performance. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 137:3. [PMID: 38085288 PMCID: PMC10716074 DOI: 10.1007/s00122-023-04508-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 11/18/2023] [Indexed: 12/18/2023]
Abstract
KEY MESSAGE Schemes that use genomic prediction outperform others, updating testers increases hybrid genetic gain, and larger population sizes tend to have higher genetic gain and less depletion of genetic variance One of the most common methods to improve hybrid performance is reciprocal recurrent selection (RRS). Genomic prediction (GP) can be used to increase genetic gain in RRS by reducing cycle length, but it is also possible to use GP to predict single-cross hybrid performance. The impact of the latter method on genetic gain has yet to be previously reported. Therefore, we compared via stochastic simulations various phenotypic and genomics-assisted RRS breeding schemes which used GP to predict hybrid performance rather than reducing cycle length, which allows minimal changes to traditional breeding schemes. We also compared three breeding sizes scenarios that varied the number of genotypes crossed within heterotic pools, the number of genotypes crossed between heterotic pools, the number of hybrids evaluated, and the number of genomic predicted hybrids. Our results demonstrated that schemes that used genomic prediction of hybrid performance outperformed the others for the average interpopulation hybrid population and the best hybrid performance. Furthermore, updating the testers increased hybrid genetic gain with phenotypic RRS. As expected, the largest breeding size tested had the highest rates of genetic improvement and the lowest decrease in additive genetic variance due to the drift. Therefore, this study demonstrates the usefulness of single-cross prediction, which may be easier to implement than rapid-cycling RRS and cyclical updating of testers. We also reiterate that larger population sizes tend to have higher genetic gain and less depletion of genetic variance.
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Affiliation(s)
- Roberto Fritsche-Neto
- International Rice Research Institute (IRRI), Los Banos, Philippines.
- H. Rouse Caffey Rice Research Station, LSU AgCenter, Rayne, USA.
| | - Jauhar Ali
- International Rice Research Institute (IRRI), Los Banos, Philippines.
| | - Erik Jon De Asis
- International Rice Research Institute (IRRI), Los Banos, Philippines
| | | | - Marlee Rose Labroo
- Excellence in Breeding Platform, Consultative Group of International Agricultural Research, Lisbon, Mexico
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, Mexico
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Chaudhary R, Higgins EE, Eynck C, Sharpe AG, Parkin IAP. Mapping QTL for vernalization requirement identified adaptive divergence of the candidate gene Flowering Locus C in polyploid Camelina sativa. THE PLANT GENOME 2023; 16:e20397. [PMID: 37885362 DOI: 10.1002/tpg2.20397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 09/11/2023] [Accepted: 09/21/2023] [Indexed: 10/28/2023]
Abstract
Vernalization requirement is an integral component of flowering in winter-type plants. The availability of winter ecotypes among Camelina species facilitated the mapping of quantitative trait loci (QTL) for vernalization requirement in Camelina sativa. An inter and intraspecific crossing scheme between related Camelina species, where one spring and two different sources of winter-type habit were used, resulted in the development of two segregating populations. Linkage maps generated with sequence-based markers identified three QTLs associated with vernalization requirement in C. sativa; two from the interspecific (chromosomes 13 and 20) and one from the intraspecific cross (chromosome 8). Notably, the three loci were mapped to different homologous regions of the hexaploid C. sativa genome. All three QTLs were found in proximity to Flowering Locus C (FLC), variants of which have been reported to affect the vernalization requirement in plants. Temporal transcriptome analysis for winter-type Camelina alyssum demonstrated reduction in expression of FLC on chromosomes 13 and 20 during cold treatment, which would trigger flowering, since FLC would be expected to suppress floral initiation. FLC on chromosome 8 also showed reduced expression in the C. sativa ssp. pilosa winter parent upon cold treatment, but was expressed at very high levels across all time points in the spring-type C. sativa. The chromosome 8 copy carried a deletion in the spring-type line, which could impact its functionality. Contrary to previous reports, all three FLC loci can contribute to controlling the vernalization response in C. sativa and provide opportunities for manipulating this requirement in the crop.
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Affiliation(s)
- Raju Chaudhary
- Agriculture and Agri-Food Canada, Saskatoon, Saskatchewan, Canada
- Global Institute for Food Security, Saskatoon, Saskatchewan, Canada
| | - Erin E Higgins
- Agriculture and Agri-Food Canada, Saskatoon, Saskatchewan, Canada
| | - Christina Eynck
- Agriculture and Agri-Food Canada, Saskatoon, Saskatchewan, Canada
| | - Andrew G Sharpe
- Global Institute for Food Security, Saskatoon, Saskatchewan, Canada
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Abstract
AbstractEvolutionary biologists have thought about the role of genetic variation during adaptation for a very long time-before we understood the organization of the genetic code, the provenance of genetic variation, and how such variation influenced the phenotypes on which natural selection acts. Half a century after the discovery of the structure of DNA and the unraveling of the genetic code, we have a rich understanding of these problems and the means to both delve deeper and widen our perspective across organisms and natural populations. The 2022 Vice Presidential Symposium of the American Society of Naturalists highlighted examples of recent insights into the role of genetic variation in adaptive processes, which are compiled in this special section. The work was conducted in different parts of the world, included theoretical and empirical studies with diverse organisms, and addressed distinct aspects of how genetic variation influences adaptation. In our introductory article to the special section, we discuss some important recent insights about the generation and maintenance of genetic variation, its impacts on phenotype and fitness, its fate in natural populations, and its role in driving adaptation. By placing the special section articles in the broader context of recent developments, we hope that this overview will also serve as a useful introduction to the field.
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Blume RY, Kalendar R, Guo L, Cahoon EB, Blume YB. Overcoming genetic paucity of Camelina sativa: possibilities for interspecific hybridization conditioned by the genus evolution pathway. FRONTIERS IN PLANT SCIENCE 2023; 14:1259431. [PMID: 37818316 PMCID: PMC10561096 DOI: 10.3389/fpls.2023.1259431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Accepted: 09/06/2023] [Indexed: 10/12/2023]
Abstract
Camelina or false flax (Camelina sativa) is an emerging oilseed crop and a feedstock for biofuel production. This species is believed to originate from Western Asian and Eastern European regions, where the center of diversity of the Camelina genus is located. Cultivated Camelina species arose via a series of polyploidization events, serving as bottlenecks narrowing genetic diversity of the species. The genetic paucity of C. sativa is foreseen as the most crucial limitation for successful breeding and improvement of this crop. A potential solution to this challenge could be gene introgression from Camelina wild species or from resynthesized allohexaploid C. sativa. However, both approaches would require a complete comprehension of the evolutionary trajectories that led to the C. sativa origin. Although there are some studies discussing the origin and evolution of Camelina hexaploid species, final conclusions have not been made yet. Here, we propose the most complete integrated evolutionary model for the Camelina genus based on the most recently described findings, which enables efficient improvement of C. sativa via the interspecific hybridization with its wild relatives. We also discuss issues of interspecific and intergeneric hybridization, aimed on improving C. sativa and overcoming the genetic paucity of this crop. The proposed comprehensive evolutionary model of Camelina species indicates that a newly described species Camelina neglecta has a key role in origin of tetra- and hexaploids, all of which have two C. neglecta-based subgenomes. Understanding of species evolution within the Camelina genus provides insights into further research on C. sativa improvements via gene introgression from wild species, and a potential resynthesis of this emerging oilseed crop.
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Affiliation(s)
- Rostyslav Y. Blume
- Institute of Food Biotechnology and Genomics of National Academy of Science of Ukraine, Kyiv, Ukraine
| | - Ruslan Kalendar
- Institute of Biotechnology HiLIFE, University of Helsinki, Helsinki, Finland
| | - Liang Guo
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
- Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Edgar B. Cahoon
- Center for Plant Science Innovation & Department of Biochemistry, University of Nebraska-Lincoln, Lincoln, NE, United States
| | - Yaroslav B. Blume
- Institute of Food Biotechnology and Genomics of National Academy of Science of Ukraine, Kyiv, Ukraine
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Choudhary M, Singh A, Das MM, Kumar P, Naliath R, Singh V, Kumar B, Rakshit S. Morpho-physiological traits and SSR markers-based analysis of relationships and genetic diversity among fodder maize landraces in India. Mol Biol Rep 2023; 50:6829-6841. [PMID: 37392281 DOI: 10.1007/s11033-023-08602-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 06/15/2023] [Indexed: 07/03/2023]
Abstract
BACKGROUND Maize is an excellent fodder crop due to its high biomass, better palatability, succulency, and nutrition. Studies on morpho-physiological and biochemical characterization of fodder maize are limited. The present study aimed to explore the genetic variation in fodder maize landraces for various morpho-physiological traits and estimation of genetic relationship and population structure. METHODS AND RESULTS The study on 47 fodder maize landraces revealed significant variation for all morpho-physiological traits except leaf-stem ratio. Plant height, stem girth, leaf-width and number of leaves showed positive correlation with green fodder yield. Morpho-physiological traits-based clustering grouped the landraces into three major clusters, whereas neighbour joining cluster and population structure analysis using 40 SSR markers revealed four and five major groups, respectively. Most landraces of Northern Himalaya-Kashmir and Ludhiana fall into a single group, whereas rest groups mainly had landraces from North-Eastern Himalaya. A total of 101 alleles were generated with mean polymorphic information content value of 0.36 and major allele frequency of 0.68. The pair wise genetic dissimilarity between genotypes ranged from 0.21 to 0.67. Mantel test revealed weak but significant correlation between morphological and molecular distance. Biochemical characterisation of superior landraces revealed significant variation for neutral detergent fibre, acid detergent fibre, cellulose and lignin content. CONCLUSION Interestingly, significant, and positive correlation of SPAD with lignin content can be explored to bypass the costly affair of invitro quality assessment for digestibility parameters. The study identified superior landraces and demonstrated the use of molecular markers in genetic diversity assessment and grouping of genotypes for fodder maize improvement.
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Affiliation(s)
- Mukesh Choudhary
- ICAR-Indian Institute of Maize Research, Ludhiana, 141001, Punjab, India
- School of Agriculture and Environment, Institute of Agriculture, The University of Western Australia, Perth, WA, 6009, Australia
| | - Alla Singh
- ICAR-Indian Institute of Maize Research, Ludhiana, 141001, Punjab, India
| | - M M Das
- ICAR-Indian Grassland and Forage Research Institute, Jhansi, 284003, Uttar Pradesh, India
| | - Pardeep Kumar
- ICAR-Indian Institute of Maize Research, Ludhiana, 141001, Punjab, India.
- Department of Plants, Soils, and Climate, College of Agriculture and Applied Sciences, Utah State University, Logan, UT, 84322, USA.
| | - Ritu Naliath
- ICAR-Indian Institute of Maize Research, Ludhiana, 141001, Punjab, India
| | - Vishal Singh
- ICAR-Indian Institute of Maize Research, Ludhiana, 141001, Punjab, India
- ICAR-Indian Institute of Agricultural Biotechnology, Ranchi, 834010, Jharkhand, India
| | - Bhupender Kumar
- ICAR-Indian Institute of Maize Research, Ludhiana, 141001, Punjab, India
| | - Sujay Rakshit
- ICAR-Indian Institute of Maize Research, Ludhiana, 141001, Punjab, India
- ICAR-Indian Institute of Agricultural Biotechnology, Ranchi, 834010, Jharkhand, India
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Gelaw YM, Eleblu JSY, Ofori K, Fenta BA, Mukankusi C, Emam EA, Offei S. High-density DArTSeq SNP markers revealed wide genetic diversity and structured population in common bean (Phaseolus vulgaris L.) germplasm in Ethiopia. Mol Biol Rep 2023; 50:6739-6751. [PMID: 37389701 PMCID: PMC10374692 DOI: 10.1007/s11033-023-08498-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 04/28/2023] [Indexed: 07/01/2023]
Abstract
INTRODUCTION Common bean is one of the widely consumed food security crop in Africa, Asia, and South America. Understanding genetic diversity and population structure is crucial for designing breeding strategies. MATERIALS Two hundred and eighty-nine germplasm were recently collected from different regions of Ethiopia and introduced from CIAT to estimate genetic diversity and population structure using 11,480 DArTSeq SNP markers. RESULTS The overall mean genetic diversity and polymorphic information content (PIC) were 0.38 and 0.30, respectively, suggested the presence of adequate genetic diversity among the genotypes. Among the geographical regions, landraces collected from Oromia showed the highest diversity (0.39) and PIC (0.30). The highest genetic distance was observed between genotypes collected from SNNPR and CIAT (0.49). In addition, genotypes from CIAT were genetically more related to improved varieties than the landraces which could be due to sharing of parents in the improvement process. The analysis of molecular variance revealed that the largest proportion of variation was due to within the population both in geographical region (63.67%) and breeding status (61.3%) based classification. Model-based structure analysis delineated the 289 common bean genotypes into six hypothetical ancestoral populations. CONCLUSIONS The genotypes were not clustered based on geographical regions and they were not the main drivers for the differentiation. This indicated that selection of the parental lines should be based on systematic assessment of the diversity rather than geographical distance. This article provides new insights into the genetic diversity and population structure of common bean for association studies, designing effective collection and conservation for efficient utilization for the improvement of the crop.
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Affiliation(s)
- Yonas Moges Gelaw
- Haramaya University, Dire Dawa, Ethiopia.
- West Africa Centre for Crop Improvement, University of Ghana, Legon, Accra, Ghana.
| | - John S Y Eleblu
- West Africa Centre for Crop Improvement, University of Ghana, Legon, Accra, Ghana
| | - Kwadwo Ofori
- West Africa Centre for Crop Improvement, University of Ghana, Legon, Accra, Ghana
| | - Berhanu Amsalu Fenta
- Melkassa Agricultural Research Center, Ethiopian Institute of Agricultural Research (EIAR), Adama, Ethiopia
| | - Clare Mukankusi
- International Centre for Tropical Agriculture (CIAT), Kawanda, Kampala, Uganda
| | | | - Samuel Offei
- West Africa Centre for Crop Improvement, University of Ghana, Legon, Accra, Ghana
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Mbo Nkoulou LF, Tchinda Ninla LA, Cros D, Martin G, Ndiang Z, Houegban J, Ngalle HB, Bell JM, Achigan-Dako EG. Analysis of genetic diversity and agronomic variation in banana sub-populations for genomic selection under drought stress in southern Benin. Gene 2023; 859:147210. [PMID: 36681099 DOI: 10.1016/j.gene.2023.147210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 01/12/2023] [Accepted: 01/13/2023] [Indexed: 01/19/2023]
Abstract
In the perspective of investigating genomic selection (GS) among Musa genotypes in West and Central Africa, banana accessions were phenotyped under natural drought stress in Benin and genotyped using genotyping by sequencing. Sixty-one (61) accessions grouped into three major genomic groups AAA, AAB and ABB and those without genomic affiliation information were used. Variation within the population was determined by phenotypic variables while population structure and clustering analysis were carried out to understand the genetic diversity at the molecular level. Among the genomic groups evaluated, the group AAB showed the best performance for fruit weight at maturity, (3.41 ± 1.99 kg) and for plant height (198.46 ± 12.66 cm). At the accession level, HD 117 S1 and NIA 27 showed the best plant height (263.16 ± 20.98 cm) and the best fruit weight at maturity (9.43 ± 0.0 kg) respectively. Phenotypic data did not reveal clear genetic diversity among accessions; however, the genetic diversity was conspicuous at the molecular level using 5000 markers. The affiliations of local accessions in genomic groups were determined for the first time based on the phenotypic and molecular data obtained in this study. The knowledge generated allows the possibility to apply GS in banana.
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Affiliation(s)
- Luther Fort Mbo Nkoulou
- Unit of Genetics, Biotechnology, and Seed Science (GBioS), Laboratory of Phytotechnics, Physiology, Genetics and Plant Breeding (PAGEV), University of Abomey-Calavi, Abomey-Calavi, School of Plant Sciences, Cotonou, Republic of Benin; Unit of Genetics and Plant Breeding (UGAP), Department of Plant Biology, Faculty of Science, University of Yaoundé 1, Po. Box 812, Yaoundé, Cameroon; Institute of Agricultural Research for Development, Mbalmayo Agricultural Research Centre (CRAM) Mbalmayo, Cameroon.
| | | | - David Cros
- Centre de coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), Unité Mixte de Recherche (UMR), Amélioration Génétique et Adaptation des Plantes méditerranéennes et tropicales (AGAP) Institut, F-34398 Montpellier, France; Unité Mixte de Recherche (UMR), Amélioration Génétique et Adaptation des Plantes méditerranéennes et tropicales (AGAP) Institut, Univ. Montpellier, Centre de coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAE), Institut Agro, F-34398 Montpellier, France
| | - Guillaume Martin
- Centre de coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), Unité Mixte de Recherche (UMR), Amélioration Génétique et Adaptation des Plantes méditerranéennes et tropicales (AGAP) Institut, F-34398 Montpellier, France; Unité Mixte de Recherche (UMR), Amélioration Génétique et Adaptation des Plantes méditerranéennes et tropicales (AGAP) Institut, Univ. Montpellier, Centre de coopération Internationale en Recherche Agronomique pour le Développement (CIRAD), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAE), Institut Agro, F-34398 Montpellier, France
| | - Zenabou Ndiang
- Department of Plant Biology and Physiology, Faculty of Science, University of Douala, Po. Box 24157, Douala, Cameroon
| | - Jordan Houegban
- Unit of Genetics, Biotechnology, and Seed Science (GBioS), Laboratory of Phytotechnics, Physiology, Genetics and Plant Breeding (PAGEV), University of Abomey-Calavi, Abomey-Calavi, School of Plant Sciences, Cotonou, Republic of Benin
| | - Hermine Bille Ngalle
- Unit of Genetics and Plant Breeding (UGAP), Department of Plant Biology, Faculty of Science, University of Yaoundé 1, Po. Box 812, Yaoundé, Cameroon
| | - Joseph Martin Bell
- Unit of Genetics and Plant Breeding (UGAP), Department of Plant Biology, Faculty of Science, University of Yaoundé 1, Po. Box 812, Yaoundé, Cameroon
| | - Enoch G Achigan-Dako
- Unit of Genetics, Biotechnology, and Seed Science (GBioS), Laboratory of Phytotechnics, Physiology, Genetics and Plant Breeding (PAGEV), University of Abomey-Calavi, Abomey-Calavi, School of Plant Sciences, Cotonou, Republic of Benin.
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Indexing Resilience to Heat and Drought Stress in the Wild Relatives of Rapeseed-Mustard. Life (Basel) 2023; 13:life13030738. [PMID: 36983893 PMCID: PMC10055847 DOI: 10.3390/life13030738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 02/14/2023] [Accepted: 02/17/2023] [Indexed: 03/11/2023] Open
Abstract
Wild species are weedy relatives and progenitors of cultivated crops, usually maintained in their centres of origin. They are rich sources of diversity as they possess many agriculturally important traits. In this study, we analysed 25 wild species and 5 U triangle species of Brassica for their potential tolerance against heat and drought stress during germination and in order to examine the early seedling stage. We identified the germplasms based on the mean membership function value (MFV), which was calculated from the tolerance index of shoot length, root length, and biochemical analysis. The study revealed that B. napus (GSC-6) could withstand high temperatures and drought. Other genotypes that were tolerant to the impact of heat stress were B. tournefortii (RBT 2002), D. gomez-campoi, B. tournefortii (Rawa), L. sativum, and B. carinata (PC-6). C. sativa resisted drought but did not perform well when subjected to high temperatures. Tolerance to drought was observed in B. fruticulosa (Spain), B. tournefortii (RBT 2003), C. bursa-pastoris (late), D. muralis, C. abyssinica (EC694145), C. abyssinica (EC400058) and B. juncea (Pusa Jaikisan). This investigation contributes to germplasm characterization and the identification of the potential source of abiotic stress tolerance in the Brassica breeding programme. These identified genotypes can be potential sources for transferring the gene(s)/genomic regions that determine tolerance to the elite cultivars.
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Chaudhary R, Koh CS, Perumal S, Jin L, Higgins EE, Kagale S, Smith MA, Sharpe AG, Parkin IAP. Sequencing of Camelina neglecta, a diploid progenitor of the hexaploid oilseed Camelina sativa. PLANT BIOTECHNOLOGY JOURNAL 2023; 21:521-535. [PMID: 36398722 PMCID: PMC9946149 DOI: 10.1111/pbi.13968] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 10/26/2022] [Accepted: 11/09/2022] [Indexed: 06/16/2023]
Abstract
Camelina neglecta is a diploid species from the genus Camelina, which includes the versatile oilseed Camelina sativa. These species are closely related to Arabidopsis thaliana and the economically important Brassica crop species, making this genus a useful platform to dissect traits of agronomic importance while providing a tool to study the evolution of polyploids. A highly contiguous chromosome-level genome sequence of C. neglecta with an N50 size of 29.1 Mb was generated utilizing Pacific Biosciences (PacBio, Menlo Park, CA) long-read sequencing followed by chromosome conformation phasing. Comparison of the genome with that of C. sativa shows remarkable coincidence with subgenome 1 of the hexaploid, with only one major chromosomal rearrangement separating the two. Synonymous substitution rate analysis of the predicted 34 061 genes suggested subgenome 1 of C. sativa directly descended from C. neglecta around 1.2 mya. Higher functional divergence of genes in the hexaploid as evidenced by the greater number of unique orthogroups, and differential composition of resistant gene analogs, might suggest an immediate adaptation strategy after genome merger. The absence of genome bias in gene fractionation among the subgenomes of C. sativa in comparison with C. neglecta, and the complete lack of fractionation of meiosis-specific genes attests to the neopolyploid status of C. sativa. The assembled genome will provide a tool to further study genome evolution processes in the Camelina genus and potentially allow for the identification and exploitation of novel variation for Camelina crop improvement.
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Affiliation(s)
- Raju Chaudhary
- Agriculture and Agri‐Food CanadaSaskatoonSKCanada
- Global Institute for Food SecuritySaskatoonSKCanada
| | - Chu Shin Koh
- Global Institute for Food SecuritySaskatoonSKCanada
| | | | - Lingling Jin
- Department of Computer ScienceUniversity of SaskatchewanSaskatoonSKCanada
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13
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Zhang Z, Li J, Suddee S, Bouamanivong S, Averyanov LV, Gale SW. Exploring island syndromes: Variable matrix permeability in Phalaenopsis pulcherrima (Orchidaceae), a specialist lithophyte of tropical Asian inselbergs. FRONTIERS IN PLANT SCIENCE 2023; 14:1097113. [PMID: 36890904 PMCID: PMC9986494 DOI: 10.3389/fpls.2023.1097113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 01/19/2023] [Indexed: 06/18/2023]
Abstract
INTRODUCTION Plants confined to island-like habitats are hypothesised to possess a suite of functional traits that promote on-spot persistence and recruitment, but this may come at the cost of broad-based colonising potential. Ecological functions that define this island syndrome are expected to generate a characteristic genetic signature. Here we examine genetic structuring in the orchid Phalaenopsis pulcherrima, a specialist lithophyte of tropical Asian inselbergs, both at the scale of individual outcrops and across much of its range in Indochina and on Hainan Island, to infer patterns of gene flow in the context of an exploration of island syndrome traits. METHODS We sampled 323 individuals occurring in 20 populations on 15 widely scattered inselbergs, and quantified genetic diversity, isolation-by-distance and genetic structuring using 14 microsatellite markers. To incorporate a temporal dimension, we inferred historical demography and estimated direction of gene flow using Bayesian approaches. RESULTS We uncovered high genotypic diversity, high heterozygosity and low rates of inbreeding, as well as strong evidence for the occurrence of two genetic clusters, one comprising the populations of Hainan Island and the other those of mainland Indochina. Connectivity was greater within, rather than between the two clusters, with the former unequivocally supported as ancestral. DISCUSSION Despite a strong capacity for on-spot persistence conferred by clonality, incomplete self-sterility and an ability to utilize multiple magnet species for pollination, our data reveal that P. pulcherrima also possesses traits that promote landscape-scale gene flow, including deceptive pollination and wind-borne seed dispersal, generating an ecological profile that neither fully conforms to, nor fully contradicts, a putative island syndrome. A terrestrial matrix is shown to be significantly more permeable than open water, with the direction of historic gene flow indicating that island populations can serve as refugia for postglacial colonisation of continental landmasses by effective dispersers.
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Affiliation(s)
- Zhe Zhang
- Key Laboratory of Genetics and Germplasm Innovation of Tropical Special Forest Trees and Ornamental Plants (Hainan University), Ministry of Education, College of Forestry, Hainan University, Haikou, China
- Key Laboratory of Germplasm Resources of Tropical Special Ornamental Plants of Hainan Province, College of Forestry, Hainan University, Haikou, China
| | - Jihong Li
- Flora Conservation Department, Kadoorie Farm & Botanic Garden, Tai Po, Hong Kong, China
| | - Somran Suddee
- Forest Herbarium, Department of National Parks, Wildlife and Plant Conservation, Chatuchak, Bangkok, Thailand
| | - Somsanith Bouamanivong
- Biotechnology and Ecology Institute, Ministry of Science and Technology, Vientiane, Laos
| | - Leonid V. Averyanov
- Komarov Botanical Institute, Russian Academy of Sciences, St. Petersburg, Russia
| | - Stephan W. Gale
- Flora Conservation Department, Kadoorie Farm & Botanic Garden, Tai Po, Hong Kong, China
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14
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Ghidoli M, Ponzoni E, Araniti F, Miglio D, Pilu R. Genetic Improvement of Camelina sativa (L.) Crantz: Opportunities and Challenges. PLANTS (BASEL, SWITZERLAND) 2023; 12:570. [PMID: 36771654 PMCID: PMC9920110 DOI: 10.3390/plants12030570] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 01/21/2023] [Accepted: 01/24/2023] [Indexed: 06/18/2023]
Abstract
In recent years, a renewed interest in novel crops has been developing due to the environmental issues associated with the sustainability of agricultural practices. In particular, a cover crop, Camelina sativa (L.) Crantz, belonging to the Brassicaceae family, is attracting the scientific community's interest for several desirable features. It is related to the model species Arabidopsis thaliana, and its oil extracted from the seeds can be used either for food and feed, or for industrial uses such as biofuel production. From an agronomic point of view, it can grow in marginal lands with little or no inputs, and is practically resistant to the most important pathogens of Brassicaceae. Although cultivated in the past, particularly in northern Europe and Italy, in the last century, it was abandoned. For this reason, little breeding work has been conducted to improve this plant, also because of the low genetic variability present in this hexaploid species. In this review, we summarize the main works on this crop, focused on genetic improvement with three main objectives: yield, seed oil content and quality, and reduction in glucosinolates content in the seed, which are the main anti-nutritional substances present in camelina. We also report the latest advances in utilising classical plant breeding, transgenic approaches, and CRISPR-Cas9 genome-editing.
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Affiliation(s)
- Martina Ghidoli
- Department of Agricultural and Environmental Sciences—Production, Landscape, Agroenergy, Università degli Studi di Milano, Via G. Celoria 2, 20133 Milan, Italy
| | - Elena Ponzoni
- Institute of Agricultural Biology and Biotechnology, Consiglio Nazionale delle Ricerche, Via E. Bassini 15, 20133 Milan, Italy
| | - Fabrizio Araniti
- Department of Agricultural and Environmental Sciences—Production, Landscape, Agroenergy, Università degli Studi di Milano, Via G. Celoria 2, 20133 Milan, Italy
| | - Daniela Miglio
- Laboratory for Mother and Child Health, Department of Public Health, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20133 Milan, Italy
| | - Roberto Pilu
- Department of Agricultural and Environmental Sciences—Production, Landscape, Agroenergy, Università degli Studi di Milano, Via G. Celoria 2, 20133 Milan, Italy
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T. V. N, S. RP, R. L. R. Population structure and genetic diversity characterization of soybean for seed longevity. PLoS One 2022; 17:e0278631. [PMID: 36472991 PMCID: PMC9725150 DOI: 10.1371/journal.pone.0278631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 11/19/2022] [Indexed: 12/12/2022] Open
Abstract
Seed longevity is an important trait in the context of germplasm conservation and economics of seed production. The identification of populations with high level of genetic variability for seed longevity and associated traits will become a valuable resource for superior alleles for seed longevity. In this study, Genotyping-by-sequencing (GBS)-single nucleotide polymorphism (SNP) approach, simple sequence repeats (SSR) markers and agro-morphological traits have been explored to investigate the diversity and population structure of assembled 96 genotypes. The GBS technique performed on 96 genotypes of soybean (Glycine max (L.) Merrill) resulted in 37,897 SNPs on sequences aligned to the reference genome sequence. The average genome coverage was 6.81X with a mapping rate of 99.56% covering the entire genome. Totally, 29,955 high quality SNPs were identified after stringent filtering and most of them were detected in non-coding regions. The 96 genotypes were phenotyped for eight quantitative and ten qualitative traits by growing in field by following augmented design. The STRUCTURE (Bayesian-model based algorithm), UPGMA (Un-weighed Pair Group Method with Arithmetic mean) and principal component analysis (PCA) approaches using SSR, SNP as well as quantitative and qualitative traits revealed population structure and diversity in assembled population. The Bayesian-model based STRUCTURE using SNP markers could effectively identify clusters with higher seed longevity associated with seed coat colour and size which were subsequently validated by UPGMA and PCA based on SSR and agro-morphological traits. The results of STRUCTURE, PCA and UPGMA cluster analysis showed high degree of similarity and provided complementary data that helped to identify genotypes with higher longevity. Six black colour genotypes, viz., Local black soybean, Kalitur, ACC Nos. 39, 109, 101 and 37 showed higher seed longevity during accelerated ageing. Higher coefficient of variability observed for plant height, number of pods per plant, seed yield per plant, 100 seed weight and seed longevity confirms the diversity in assembled population and its suitability for quantitative trait loci (QTL) mapping.
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Affiliation(s)
- Naflath T. V.
- Department of Seed Science and Technology, College of Agriculture, UAS, GKVK, Bangalore, Karnataka, India
| | - Rajendra Prasad S.
- Department of Seed Science and Technology, College of Agriculture, UAS, GKVK, Bangalore, Karnataka, India
| | - Ravikumar R. L.
- Department of Plant Biotechnology, College of Agriculture, UAS, GKVK, Bangalore, Karnataka, India
- * E-mail:
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Spring JF, Revolinski SR, Young FL, Lyon DJ, Burke IC. Weak population differentiation and high diversity in Salsola tragus in the inland Pacific Northwest, USA. PEST MANAGEMENT SCIENCE 2022; 78:4728-4740. [PMID: 35872633 DOI: 10.1002/ps.7093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 07/13/2022] [Accepted: 07/25/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Salsola tragus is a widespread and problematic weed of semi-arid wheat production globally, and in the inland Pacific Northwest region of the USA. The species exhibits high levels of phenotypic diversity across its range and, at least in California USA, previous work has described cryptic diversity comprising a multi-species complex. Such cryptic diversity could suggest the potential for a differential response to management inputs between groups, and have important implications for the spread of herbicide resistance or other adaptive traits within populations. We used a genotyping-by-sequencing approach to characterize the population structure of S. tragus in the inland Pacific Northwest. RESULTS Our results indicated that the population in this region is comprised of a single, tetraploid species (S. tragus sensu latu) with weak population structure on a regional scale. Isolation-by-distance appears to be the primary pattern of structure, but an independent set of weakly differentiated clusters of unknown origin were also apparent, along with a mixed mating system and high levels of largely unstructured genetic diversity. CONCLUSIONS Despite considerable phenotypic variability within S. tragus in the region, agronomic weed managers can likely consider it as a single entity across the region, rather than a collection of cryptic subgroups with possible differential responses to management inputs or agroecosystem conditions. A lack of strong barriers to migration and gene flow mean that adaptive traits, such as herbicide resistance, can be expected to spread rapidly through populations across the region. © 2022 Society of Chemical Industry.
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Affiliation(s)
- John F Spring
- Oregon State University Central Oregon Agricultural Research and Extension Center, Madras, OR, USA
| | - Samuel R Revolinski
- Washington State University Department of Crop and Soil Sciences, Pullman, WA, USA
| | - Frank L Young
- USDA-ARS Northwest Sustainable Agroecosystems Research Unit, Pullman, WA, USA
| | - Drew J Lyon
- Washington State University Department of Crop and Soil Sciences, Pullman, WA, USA
| | - Ian C Burke
- Washington State University Department of Crop and Soil Sciences, Pullman, WA, USA
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17
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Mandáková T, Lysak MA. The identification of the missing maternal genome of the allohexaploid camelina (Camelina sativa). THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2022; 112:622-629. [PMID: 35916590 DOI: 10.1111/tpj.15931] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 07/20/2022] [Accepted: 07/29/2022] [Indexed: 06/15/2023]
Abstract
Hexaploid camelina (Camelina sativa; 2n = 6x = 40) is an important oilseed crop closely related to Arabidopsis. Compared to other polyploid crops, the origin of the three camelina subgenomes has begun to be unveiled only recently. While phylogenomic studies identified the diploid C. hispida (2n = 2x = 14) as the paternal genome of C. sativa, the maternal donor genome remained unknown. Because the chromosomes assigned to a putative maternal genome resembled those of diploid C. neglecta (2n = 12), a tetraploid C. neglecta-like genome (2n = 4x = 26) was hypothesized to be the likely maternal ancestor of the hexaploid crop. Here we report the chromosome-level structure of the predicted tetraploid Camelina genome identified among genotypes previously classified together as C. microcarpa and referred to here as C. intermedia. Detailed cytogenomic analysis of the tetraploid genome revealed high collinearity with two maternally inherited subgenomes of the hexaploid C. sativa. The identification of the missing donor tetraploid genome provides new insights into the reticulate evolutionary history of the Camelina polyploid complex and allows us to postulate a comprehensive evolutionary model for the genus. The herein elucidated origin of the C. sativa genome opens the door for subsequent genome modifications and resynthesis of the allohexaploid camelina genome.
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Affiliation(s)
- Terezie Mandáková
- CEITEC - Central European Institute of Technology, Masaryk University, Kamenice 5, CZ - 625 00, Brno, Czech Republic
| | - Martin A Lysak
- CEITEC - Central European Institute of Technology, Masaryk University, Kamenice 5, CZ - 625 00, Brno, Czech Republic
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18
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Pham T, Nguyen QT, Tran DM, Nguyen H, Le HT, Hoang QTH, Van YT, Tran TN. Phylogenetic Analysis Based on DNA Barcoding and Genetic Diversity Assessment of Morinda officinalis How in Vietnam Inferred by Microsatellites. Genes (Basel) 2022; 13:1938. [PMID: 36360175 PMCID: PMC9689669 DOI: 10.3390/genes13111938] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 10/20/2022] [Accepted: 10/21/2022] [Indexed: 09/19/2023] Open
Abstract
Morinda officinalis How is well-known as a valuable medicinal plant found in some regions of Vietnam. This species is mainly used for treating male impotence, irregular menstruation, and rheumatoid arthritis. This study aimed to identify the species of and genetic diversity in three M. officinalis populations: one each in Quang Binh (QB), Thua Thien Hue (TTH), and Quang Nam (QN). In this study, four DNA barcoding markers (ITS1, ITS2, matK, and rbcL) were used to identify the species and 22 microsatellite markers were applied for population structure and diversity analyses. The results showed that the sequences of gene regions studied in M. officinalis had a high similarity (>95%) to the ITS1, ITS2, matK, and rbcL sequences of M. officinalis on BLAST. Of the four DNA barcoding markers used, ITS1 and ITS2 showed higher efficiency in DNA amplification of M. officinalis. From this study, 27 GenBank codes were published on BLAST. The results also revealed high levels of genetic diversity in populations. The average observed and expected heterozygosity values were HO = 0.513 and HE = 0.612, respectively. The average FST value was 0.206. Analysis of molecular variance (AMOVA) showed 70% variation within populations and 30% among populations. The population structure of M. officinalis inferred in STRUCTURE revealed that the optimum number of genetic groups for the admixture model was K = 2. These findings provided vital background information for future studies in the conservation of M. officinalis in both ex situ and in situ plans.
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Affiliation(s)
- Thanh Pham
- Department of Biology, University of Education, Hue University, 34 Le Loi, Hue 530000, Vietnam
| | - Quynh Thi Nguyen
- Department of Biology, University of Education, Hue University, 34 Le Loi, Hue 530000, Vietnam
| | - Duc Minh Tran
- Faculty of Forestry, University of Agriculture and Forestry, Hue University, 102 Phung Hung, Hue 530000, Vietnam
| | - Hoi Nguyen
- Faculty of Forestry, University of Agriculture and Forestry, Hue University, 102 Phung Hung, Hue 530000, Vietnam
| | - Hung Thai Le
- Faculty of Forestry, University of Agriculture and Forestry, Hue University, 102 Phung Hung, Hue 530000, Vietnam
| | - Que Thi Hong Hoang
- Faculty of Forestry, University of Agriculture and Forestry, Hue University, 102 Phung Hung, Hue 530000, Vietnam
| | - Yen Thi Van
- Faculty of Forestry, University of Agriculture and Forestry, Hue University, 102 Phung Hung, Hue 530000, Vietnam
| | - Thang Nam Tran
- Faculty of Forestry, University of Agriculture and Forestry, Hue University, 102 Phung Hung, Hue 530000, Vietnam
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Mathiang EA, Sa KJ, Park H, Kim YJ, Lee JK. Genetic Diversity and Population Structure of Normal Maize Germplasm Collected in South Sudan Revealed by SSR Markers. PLANTS (BASEL, SWITZERLAND) 2022; 11:2787. [PMID: 36297809 PMCID: PMC9611378 DOI: 10.3390/plants11202787] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 10/16/2022] [Accepted: 10/17/2022] [Indexed: 06/16/2023]
Abstract
Maize is one of the leading global cereals, and in South Sudan maize cultivation occurs in nearly all of the country's agro-ecological zones. Despite its widespread cultivation, farmers in South Sudan depend on undeveloped varieties, which results in very low yields in the field. In the current study, 27 simple sequence repeat (SSR) markers were used to investigate genetic diversity and population structures among 37 landrace maize accessions collected from farmers' fields in South Sudan. In total, 200 alleles were revealed with an average of 7.4 alleles per locus and a range from 3.0 to 13.0 alleles per locus. The observed heterozygosity values ranged from 0.06 to 0.91 with an average of 0.35. High polymorphic information content (PIC) values were identified with a mean of 0.69, which indicates the informativeness of the chosen SSR loci. Genetic structure analysis revealed a moderate genetic differentiation among the maize populations with a fixation index of 0.16, while there was very high genetic differentiation within the groups of populations of three regions with a mean fixation index (F) of 0.37. An unweighted pair group method with an arithmetic mean (UPGMA) dendrogram clustered the 37 maize accessions into three groups with 43% genetic similarity. The clustering pattern of the maize accessions was moderately consistent with their collection area. The findings of this study will provide maize breeders with a better understanding of maize diversification as well as a reserve of genetic resources for use in the selection of advantageous and useful resources for the development of maize varieties in South Sudan.
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Affiliation(s)
- Emmanuel Andrea Mathiang
- Department of Applied Plant Sciences, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon 24341, Korea
| | - Kyu Jin Sa
- Department of Applied Plant Sciences, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon 24341, Korea
| | - Hyeon Park
- Department of Applied Plant Sciences, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon 24341, Korea
- Interdisciplinary Program in Smart Agriculture, Kangwon National University, Chuncheon 24341, Korea
| | - Yeon Joon Kim
- Department of Applied Plant Sciences, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon 24341, Korea
| | - Ju Kyong Lee
- Department of Applied Plant Sciences, College of Agriculture and Life Sciences, Kangwon National University, Chuncheon 24341, Korea
- Interdisciplinary Program in Smart Agriculture, Kangwon National University, Chuncheon 24341, Korea
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20
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Hegedus D, Coutu C, Gjetvaj B, Hannoufa A, Harrington M, Martin S, Parkin IAP, Perera S, Wanasundara J. Genetic variation and structural diversity in major seed proteins among and within Camelina species. PLANTA 2022; 256:93. [PMID: 36201059 PMCID: PMC9537204 DOI: 10.1007/s00425-022-03998-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 09/12/2022] [Indexed: 06/16/2023]
Abstract
Genetic variation in seed protein composition, seed protein gene expression and predictions of seed protein physiochemical properties were documented in C. sativa and other Camelina species. Seed protein diversity was examined in six Camelina species (C. hispida, C. laxa, C. microcarpa, C. neglecta, C. rumelica and C. sativa). Differences were observed in seed protein electrophoretic profiles, total seed protein content and amino acid composition between the species. Genes encoding major seed proteins (cruciferins, napins, oleosins and vicilins) were catalogued for C. sativa and RNA-Seq analysis established the expression patterns of these and other genes in developing seed from anthesis through to maturation. Examination of 187 C. sativa accessions revealed limited variation in seed protein electrophoretic profiles, though sufficient to group the majority into classes based on high MW protein profiles corresponding to the cruciferin region. C. sativa possessed four distinct types of cruciferins, named CsCRA, CsCRB, CsCRC and CsCRD, which corresponded to orthologues in Arabidopsis thaliana with members of each type encoded by homeologous genes on the three C. sativa sub-genomes. Total protein content and amino acid composition varied only slightly; however, RNA-Seq analysis revealed that CsCRA and CsCRB genes contributed > 95% of the cruciferin transcripts in most lines, whereas CsCRC genes were the most highly expressed cruciferin genes in others, including the type cultivar DH55. This was confirmed by proteomics analyses. Cruciferin is the most abundant seed protein and contributes the most to functionality. Modelling of the C. sativa cruciferins indicated that each type possesses different physiochemical attributes that were predicted to impart unique functional properties. As such, opportunities exist to create C. sativa cultivars with seed protein profiles tailored to specific technical applications.
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Affiliation(s)
- Dwayne Hegedus
- Agriculture and Agri-Food Canada, 107 Science Place, Saskatoon, SK, S7N 0X2, Canada.
- Department of Food and Bioproduct Sciences, University of Saskatchewan, Saskatoon, SK, Canada.
| | - Cathy Coutu
- Agriculture and Agri-Food Canada, 107 Science Place, Saskatoon, SK, S7N 0X2, Canada
| | - Branimir Gjetvaj
- Agriculture and Agri-Food Canada, 107 Science Place, Saskatoon, SK, S7N 0X2, Canada
| | | | - Myrtle Harrington
- Agriculture and Agri-Food Canada, 107 Science Place, Saskatoon, SK, S7N 0X2, Canada
| | - Sara Martin
- Agriculture and Agri-Food Canada, London, ON, Canada
| | - Isobel A P Parkin
- Agriculture and Agri-Food Canada, 107 Science Place, Saskatoon, SK, S7N 0X2, Canada
| | - Suneru Perera
- Agriculture and Agri-Food Canada, 107 Science Place, Saskatoon, SK, S7N 0X2, Canada
- Department of Food and Bioproduct Sciences, University of Saskatchewan, Saskatoon, SK, Canada
| | - Janitha Wanasundara
- Agriculture and Agri-Food Canada, 107 Science Place, Saskatoon, SK, S7N 0X2, Canada
- Department of Food and Bioproduct Sciences, University of Saskatchewan, Saskatoon, SK, Canada
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21
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Luo Z, Chen Z, Liu M, Yang L, Zhao Z, Yang D, Ding P. Phenotypic, chemical component and molecular assessment of genetic diversity and population structure of Morinda officinalis germplasm. BMC Genomics 2022; 23:605. [PMID: 35986256 PMCID: PMC9392303 DOI: 10.1186/s12864-022-08817-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 08/02/2022] [Indexed: 11/30/2022] Open
Abstract
Background Morinda officinalis How (MO) is a perennial herb distributed in tropical and subtropical regions, which known as one of the “Four Southern Herbal Medicines”. The extent of genetic variability and the population structure of MO are presently little understood. Here, nine morphological traits, six chemical components and Single nucleotide polymorphism (SNP) markers were used in integrative research of MO germplasm variation among 88 individuals collected from ten populations across four geographical provinces of China. Results Both phenotype and chemical composition have significant genetic variation, and there is a certain correlation between them such as root diameter and the nystose content, as well as geographical distribution. The principal component analysis (PCA) showed the leaf length, leaf width, nystose, 1F-furanosaccharide nystose, and the section color were the major contributors to diversity. The cluster analysis based on phenotypic and oligosaccharide data distinguished three significant groups, which was consistent with the result of a corresponding analysis with 228,615 SNP markers, and importantly, they all showed a significant correlation with geographical origin. However, there was little similarity between two cluster results. The Shannon’s information index (I) varied from 0.17 to 0.53 with a mean of 0.37, suggesting a high level of genetic diversity in MO populations, which mainly existed among individuals within populations, accounting for 99.66% of the total according to the analysis of molecular variance (AMOVA) results. Each population also maintains the connection because of certain gene communication, so that the genetic differentiation between populations was not very significant. The STRUCTURE software was used to analyse the population structure and the result showed that 88 accessions were clustered into three groups, and 67% of them were pure type, which was also confirmed through PCA. Conclusions The comprehensive study of phenotypic, chemical and molecular markers will provide valuable information for future breeding plans and understanding the phylogenetic relationship of MO population. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-022-08817-w.
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Kinhoégbè G, Djèdatin G, Saxena RK, Chitikineni A, Bajaj P, Molla J, Agbangla C, Dansi A, Varshney RK. Genetic diversity and population structure of pigeonpea (Cajanus cajan [L.] Millspaugh) landraces grown in Benin revealed by Genotyping-By-Sequencing. PLoS One 2022; 17:e0271565. [PMID: 35857738 PMCID: PMC9299330 DOI: 10.1371/journal.pone.0271565] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 07/04/2022] [Indexed: 11/18/2022] Open
Abstract
Genetic diversity studies provide important details on target trait availability and its variability, for the success of breeding programs. In this study, GBS approach was used to reveal a new structuration of genetic diversity and population structure of pigeonpea in Benin. We used a total of 688 high-quality Single Nucleotide Polymorphism markers for a total of 44 pigeonpea genotypes. The distribution of SNP markers on the 11 chromosomes ranged from 14 on chromosome 5 to 133 on chromosome 2. The Polymorphism Information Content and gene diversity values were 0.30 and 0.34 respectively. The analysis of population structure revealed four clear subpopulations. The Weighted Neighbor Joining tree agreed with structure analyses by grouping the 44 genotypes into four clusters. The PCoA revealed that genotypes from subpopulations 1, 2 and 3 intermixed among themselves. The Analysis of Molecular Variance showed 7% of the total variation among genotypes while the rest of variation (93%) was within genotypes from subpopulations indicating a high gene exchange (Nm = 7.13) and low genetic differentiation (PhiPT = 0.07) between subpopulations. Subpopulation 2 presented the highest mean values of number of different alleles (Na = 1.57), number of loci with private alleles (Pa = 0.11) and the percentage of polymorphic loci (P = 57.12%). We discuss our findings and demonstrate how the genetic diversity and the population structure of this specie can be used through the Genome Wide Association Studies and Marker-Assisted Selection to enhance genetic gain in pigeonpea breeding programs in Benin.
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Affiliation(s)
- Géofroy Kinhoégbè
- Laboratory of Molecular Biology and Bioinformatics Applied to Genomics, National University of Sciences, Technologies Engineering and Mathematics of Abomey, Dassa-Zoumé, Benin
- Centre of Excellence in Genomics and Systems Biology, International Crop Research Institute for the Semi-Arid Tropics, Hyderabad, India
- * E-mail:
| | - Gustave Djèdatin
- Laboratory of Molecular Biology and Bioinformatics Applied to Genomics, National University of Sciences, Technologies Engineering and Mathematics of Abomey, Dassa-Zoumé, Benin
| | - Rachit Kumar Saxena
- Centre of Excellence in Genomics and Systems Biology, International Crop Research Institute for the Semi-Arid Tropics, Hyderabad, India
| | - Anu Chitikineni
- Centre of Excellence in Genomics and Systems Biology, International Crop Research Institute for the Semi-Arid Tropics, Hyderabad, India
| | - Prasad Bajaj
- Centre of Excellence in Genomics and Systems Biology, International Crop Research Institute for the Semi-Arid Tropics, Hyderabad, India
| | - Johiruddin Molla
- Centre of Excellence in Genomics and Systems Biology, International Crop Research Institute for the Semi-Arid Tropics, Hyderabad, India
| | - Clément Agbangla
- Laboratory of Molecular Genetic and Genomes Analysis, University of Abomey-Calavi, Abomey-Calavi, Benin
| | - Alexandre Dansi
- Laboratory of Biotechnology, Genetic Resources and Plant and Animal Breeding, National University of Sciences Technologies Engineering and Mathematics of Abomey, Dassa-Zoumé, Benin
| | - Rajeev Kumar Varshney
- Centre of Excellence in Genomics and Systems Biology, International Crop Research Institute for the Semi-Arid Tropics, Hyderabad, India
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Brock JR, Ritchey MM, Olsen KM. Molecular and archaeological evidence on the geographical origin of domestication for Camelina sativa. AMERICAN JOURNAL OF BOTANY 2022; 109:1177-1190. [PMID: 35716121 PMCID: PMC9542853 DOI: 10.1002/ajb2.16027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 06/02/2022] [Accepted: 06/02/2022] [Indexed: 06/15/2023]
Abstract
PREMISE Camelina (gold-of-pleasure or false flax) is an ancient oilseed crop with emerging applications in the production of sustainable, low-input biofuels. Previous domestication hypotheses suggested a European or western Asian origin, yet little genetic evidence has existed to assess the geographical origin for this crop, and archaeological data have not been systematically surveyed. METHODS We utilized genotyping-by-sequencing of 185 accessions of C. sativa and its wild relatives to examine population structure within the crop species and its relationship to populations of its wild progenitor, C. microcarpa; cytotype variation was also assessed in both species. In a complementary analysis, we surveyed the archaeological literature to identify sites with archaeobotanical camelina remains and assess the timing and prevalence of usage across Europe and western Asia. RESULTS The majority of C. microcarpa sampled in Europe and the United States belongs to a variant cytotype (2n = 38) with a distinct evolutionary origin from that of the crop lineage (2n = 40). Populations of C. microcarpa from Transcaucasia (South Caucasus) are most closely related to C. sativa based on cytotype and population structure; in combination with archaeological insights, these data refute prior hypotheses of a European domestication origin. CONCLUSIONS Our findings support a Caucasus, potentially Armenian, origin of C. sativa domestication. We cannot definitively determine whether C. sativa was intentionally targeted for domestication in its own right or instead arose secondarily through selection for agricultural traits in weedy C. sativa, as originally proposed by Vavilov for this species.
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Affiliation(s)
- Jordan R. Brock
- Department of BiologyWashington University in St. LouisSt. LouisMissouri63130USA
- Department of HorticultureMichigan State UniversityEast LansingMichigan48824USA
| | - Melissa M. Ritchey
- Department of AnthropologyWashington University in St. LouisSt. LouisMissouri63130USA
| | - Kenneth M. Olsen
- Department of BiologyWashington University in St. LouisSt. LouisMissouri63130USA
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Bai Q, He B, Cai Y, Lian H, Zhang Q, Liang D, Wang Y. Genetic Diversity and Population Structure of Schima superba From Southern China. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.879512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The tree Schima superba is important for afforestation and fire prevention in southern China. The wood of this tree can also be used for furniture and buildings. However, the lack of genetic background and genomic information for this species has lowered wood yield speed and quality improvement. Here, we aimed to discover genome-wide single nucleotide polymorphisms (SNPs) in 302 S. superba germplasms collected from southern China and to use these SNPs to investigate the population structure. Using genotyping by sequencing, a total of 785 high-quality SNP markers (minor allele frequency [MAF] ≥ 0.05) were identified from 302 accessions collected from seven geographical locations. Population structure analyses and principal coordinate analyses (PCoAs) indicated that these germplasm resources can be clearly separated into different populations. The S. superba accessions originating from Yunnan (YN) and Guangxi (GX) fell into the same population, separate from the accessions originating from Guangdong (GD), which indicated that these two regions should be regarded as major provenances of this species. In addition, two independent core germplasm sets with abundant genetic polymorphisms were constructed to support the breeding work. The identification of SNP markers, analyses of population genetics, and construction of core germplasm sets will greatly promote the molecular breeding work of S. superba.
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A Neural Network-Based Spectral Approach for the Assignment of Individual Trees to Genetically Differentiated Subpopulations. REMOTE SENSING 2022. [DOI: 10.3390/rs14122898] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Studying population structure has made an essential contribution to understanding evolutionary processes and demographic history in forest ecology research. This inference process basically involves the identification of common genetic variants among individuals, then grouping the similar individuals into subpopulations. In this study, a spectral-based classification of genetically differentiated groups was carried out using a provenance–progeny trial of Eucalyptus cladocalyx. First, the genetic structure was inferred through a Bayesian analysis using single-nucleotide polymorphisms (SNPs). Then, different machine learning models were trained with foliar spectral information to assign individual trees to subpopulations. The results revealed that spectral-based classification using the multilayer perceptron method was very successful at classifying individuals into their respective subpopulations (with an average of 87% of correct individual assignments), whereas 85% and 81% of individuals were assigned to their respective classes correctly by convolutional neural network and partial least squares discriminant analysis, respectively. Notably, 93% of individual trees were assigned correctly to the class with the smallest size using the spectral data-based multi-layer perceptron classification method. In conclusion, spectral data, along with neural network models, are able to discriminate and assign individuals to a given subpopulation, which could facilitate the implementation and application of population structure studies on a large scale.
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Human Leukocyte Antigen (HLA) System: Genetics and Association with Bacterial and Viral Infections. J Immunol Res 2022; 2022:9710376. [PMID: 35664353 PMCID: PMC9162874 DOI: 10.1155/2022/9710376] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 05/08/2022] [Indexed: 12/19/2022] Open
Abstract
The human leukocyte antigen (HLA) system is one of the most crucial host factors influencing disease progression in bacterial and viral infections. This review provides the basic concepts of the structure and function of HLA molecules in humans. Here, we highlight the main findings on the associations between HLA class I and class II alleles and susceptibility to important infectious diseases such as tuberculosis, leprosy, melioidosis, Staphylococcus aureus infection, human immunodeficiency virus infection, coronavirus disease 2019, hepatitis B, and hepatitis C in populations worldwide. Finally, we discuss challenges in HLA typing to predict disease outcomes in clinical implementation. Evaluation of the impact of HLA variants on the outcome of bacterial and viral infections would improve the understanding of pathogenesis and identify those at risk from infectious diseases in distinct populations and may improve the individual treatment.
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Mu XY, Wu YM, Shen XL, Tong L, Lei FW, Xia XF, Ning Y. Genomic Data Reveals Profound Genetic Structure and Multiple Glacial Refugia in Lonicera oblata (Caprifoliaceae), a Threatened Montane Shrub Endemic to North China. FRONTIERS IN PLANT SCIENCE 2022; 13:832559. [PMID: 35615142 PMCID: PMC9125190 DOI: 10.3389/fpls.2022.832559] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 03/21/2022] [Indexed: 05/28/2023]
Abstract
Characterizing genetic diversity and structure and identifying conservation units are both crucial for the conservation and management of threatened species. The development of high-throughput sequencing technology provides exciting opportunities for conservation genetics. Here, we employed the powerful SuperGBS method to identify 33, 758 high-quality single-nucleotide polymorphisms (SNP) from 134 individuals of a critically endangered montane shrub endemic to North China, Lonicera oblata. A low level of genetic diversity and a high degree of genetic differentiation among populations were observed based on the SNP data. Both principal component and phylogenetic analyses detected seven clusters, which correspond exactly to the seven geographic populations. Under the optimal K = 7, Admixture suggested the combination of the two small and geographically neighboring populations in the Taihang Mountains, Dongling Mountains, and Lijiazhuang, while the division of the big population of Jiankou Great Wall in the Yan Mountains into two clusters. High population genetic diversity and a large number of private alleles were detected in the four large populations, while low diversity and non-private alleles were observed for the remaining three small populations, implying the importance of these large populations as conservation units in priority. Demographic history inference suggested two drastic contractions of population size events that occurred after the Middle Pleistocene Transition and the Last Glacial Maximum, respectively. Combining our previous ecological niche modeling results with the present genomic data, there was a possible presence of glacial refugia in the Taihang and Yan Mountains, North China. This study provides valuable data for the conservation and management of L. oblata and broadens the understanding of the high biodiversity in the Taihang and Yan Mountains.
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Affiliation(s)
- Xian-Yun Mu
- Laboratory of Systematic Evolution and Biogeography of Woody Plants, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China
| | - Yuan-Mi Wu
- Laboratory of Systematic Evolution and Biogeography of Woody Plants, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China
| | - Xue-Li Shen
- Laboratory of Systematic Evolution and Biogeography of Woody Plants, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China
| | - Ling Tong
- Laboratory of Systematic Evolution and Biogeography of Woody Plants, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China
| | - Feng-Wei Lei
- Laboratory of Systematic Evolution and Biogeography of Woody Plants, School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China
| | - Xiao-Fei Xia
- Beijing Museum of Natural History, Beijing, China
| | - Yu Ning
- Institute of Wetland Research, Chinese Academy of Forestry, Beijing, China
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28
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Shitta NS, Unachukwu N, Edemodu AC, Abebe AT, Oselebe HO, Abtew WG. Genetic diversity and population structure of an African yam bean (Sphenostylis stenocarpa) collection from IITA GenBank. Sci Rep 2022; 12:4437. [PMID: 35292678 PMCID: PMC8924269 DOI: 10.1038/s41598-022-08271-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 03/04/2022] [Indexed: 11/30/2022] Open
Abstract
African yam bean, AYB (Sphenostylisstenocarpa), is an underutilized legume of tropical Africa. AYB can boost food and nutritional security in sub-Saharan Africa through its nutrient-rich seeds and tubers. However, inadequate information on germplasm with desirable agro-morphological traits, including insufficient data at the genomic level, has prevented the full exploitation of its food and breeding potentials. Notably, assessing the genetic diversity and population structure in a species is a prerequisite for improvement and eventual successful exploitation. The present study evaluated the population structure and genetic diversity of 169 accessions from the International Institute of Tropical Agriculture (IITA) collection using 26 phenotypic characters and 1789 single nucleotide polymorphism (SNP) markers. The phenotypic traits and SNP markers revealed their usefulness in uniquely distinguishing each AYB accession. The hierarchical cluster of phenotypes grouped accessions into three sub-populations; SNPs analysis also clustered the accessions into three sub-populations. The genetic differentiation (FST) among the three sub-populations was sufficiently high (0.14–0.39) and significant at P = 0.001. The combined analysis revealed three sub-populations; accessions in sub-population 1 were high yielding, members in sub-population 2 showed high polymorphic loci and heterozygosity. This study provides essential information for the breeding and genetic improvement of AYB.
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Affiliation(s)
| | - Nnanna Unachukwu
- International Institute of Tropical Agriculture, Ibadan, Nigeria
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Neupane D, Lohaus RH, Solomon JKQ, Cushman JC. Realizing the Potential of Camelina sativa as a Bioenergy Crop for a Changing Global Climate. PLANTS (BASEL, SWITZERLAND) 2022; 11:plants11060772. [PMID: 35336654 PMCID: PMC8951600 DOI: 10.3390/plants11060772] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 02/28/2022] [Accepted: 03/04/2022] [Indexed: 05/09/2023]
Abstract
Camelina sativa (L.) Crantz. is an annual oilseed crop within the Brassicaceae family. C. sativa has been grown since as early as 4000 BCE. In recent years, C. sativa received increased attention as a climate-resilient oilseed, seed meal, and biofuel (biodiesel and renewable or green diesel) crop. This renewed interest is reflected in the rapid rise in the number of peer-reviewed publications (>2300) containing “camelina” from 1997 to 2021. An overview of the origins of this ancient crop and its genetic diversity and its yield potential under hot and dry growing conditions is provided. The major biotic barriers that limit C. sativa production are summarized, including weed control, insect pests, and fungal, bacterial, and viral pathogens. Ecosystem services provided by C. sativa are also discussed. The profiles of seed oil and fatty acid composition and the many uses of seed meal and oil are discussed, including food, fodder, fuel, industrial, and medical benefits. Lastly, we outline strategies for improving this important and versatile crop to enhance its production globally in the face of a rapidly changing climate using molecular breeding, rhizosphere microbiota, genetic engineering, and genome editing approaches.
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Affiliation(s)
- Dhurba Neupane
- MS330/Department of Biochemistry & Molecular Biology, University of Nevada, Reno, NV 89557, USA; (D.N.); (R.H.L.)
| | - Richard H. Lohaus
- MS330/Department of Biochemistry & Molecular Biology, University of Nevada, Reno, NV 89557, USA; (D.N.); (R.H.L.)
| | - Juan K. Q. Solomon
- Department of Agriculture, Veterinary & Rangeland Sciences, University of Nevada, Reno, NV 89557, USA;
| | - John C. Cushman
- MS330/Department of Biochemistry & Molecular Biology, University of Nevada, Reno, NV 89557, USA; (D.N.); (R.H.L.)
- Correspondence: ; Tel.: +1-775-784-1918
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Rahman M, Hoque A, Roy J. Linkage disequilibrium and population structure in a core collection of Brassica napus (L.). PLoS One 2022; 17:e0250310. [PMID: 35231054 PMCID: PMC8887726 DOI: 10.1371/journal.pone.0250310] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 02/14/2022] [Indexed: 11/19/2022] Open
Abstract
Estimation of genetic diversity in rapeseed is important for sustainable breeding program to provide an option for the development of new breeding lines. The objective of this study was to elucidate the patterns of genetic diversity within and among different structural groups, and measure the extent of linkage disequilibrium (LD) of 383 globally distributed rapeseed germplasm using 8,502 single nucleotide polymorphism (SNP) markers. We divided the germplasm collection into five subpopulations (P1 to P5) according to geographic and growth habit-related patterns. All subpopulations showed moderate genetic diversity (average H = 0.22 and I = 0.34). The pairwise Fst comparison revealed a great degree of divergence (Fst > 0.24) between most of the combinations. The rutabaga type showed highest divergence with spring and winter types. Higher divergence was also found between winter and spring types. Admixture model based structure analysis, principal component and neighbor-joining tree analysis placed all subpopulations into three distinct clusters. Admixed genotype constituted 29.24% of total genotypes, while remaining 70.76% belongs to identified clusters. Overall, mean linkage disequilibrium was 0.03 and it decayed to its half maximum within < 45 kb distance for whole genome. The LD decay was slower in C genome (< 93 kb); relative to the A genome (< 21 kb) which was confirmed by availability of larger haplotype blocks in C genome than A genome. The findings regarding LD pattern and population structure will help to utilize the collection as an important resource for association mapping efforts to identify genes useful in crop improvement as well as for selection of parents for hybrid breeding.
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Affiliation(s)
- Mukhlesur Rahman
- Department of Pant Sciences, North Dakota State University, Fargo, North Dakota, United States of America
| | - Ahasanul Hoque
- Department of Pant Sciences, North Dakota State University, Fargo, North Dakota, United States of America
- Department of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh, Bangladesh
| | - Jayanta Roy
- Department of Pant Sciences, North Dakota State University, Fargo, North Dakota, United States of America
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Omire A, Neondo J, Budambula NLM, Wangai L, Ogada S, Mweu C. Genetic Diversity and Population Structure of Doum Palm (Hyphaene compressa) Using Genotyping by Sequencing. Front Genet 2022; 13:762202. [PMID: 35186022 PMCID: PMC8854861 DOI: 10.3389/fgene.2022.762202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Accepted: 01/03/2022] [Indexed: 11/19/2022] Open
Abstract
Doum palm (Hyphaene compressa) is a perennial economic plant primarily growing in Kenya’s Arid and Semi-Arid Lands (ASALs). It is heavily relied upon for food, animal feed, construction materials and medicine, making it an ideal plant for resource sustainability. However, the limited information on its genetic resources has hindered its breeding and conservation studies. This study used the genotyping by sequencing approach to identify Single Nucleotide Polymorphisms. These SNPs were further used to assess the genetic diversity and population structure of 96 H. compressa accessions from Coastal, Northern and Eastern ASAL regions of Kenya using two approaches; reference-based and de novo-based assemblies. STRUCTURE analysis grouped the sampled accessions into two genetic clusters (Cluster 1 and Cluster 2). Cluster 1 included accessions from the Northern region, whereas Cluster 2 included all accessions from Eastern and Coastal regions. Accessions from Kwale (Coastal) had mixed ancestry from both Cluster 1 and Cluster 2. These STRUCTURE findings were further supported by principal components analysis, discriminant analysis of principal components and phylogenetic analysis. Analysis of molecular variance indicated greater genetic variation within populations (92.7%) than among populations (7.3%). An overall FST of 0.074 was observed, signifying moderate genetic differentiation among populations. The results of this study will provide information useful in breeding, marker-assisted selection and conservation management of H. compressa.
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Affiliation(s)
- Agnes Omire
- Department of Botany, School of Biological Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
| | - Johnstone Neondo
- Institute for Biotechnology Research (IBR), Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
| | - Nancy L. M. Budambula
- Department of Biological Sciences, School of Pure and Applied Sciences, University of Embu, Embu, Kenya
| | - Laura Wangai
- Department of Biomedical Sciences, School of Health Sciences, Kirinyaga University, Kerugoya, Kenya
| | - Stephen Ogada
- Institute for Biotechnology Research (IBR), Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
| | - Cecilia Mweu
- Institute for Biotechnology Research (IBR), Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
- *Correspondence: Cecilia Mweu,
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Peringottillam M, Kunhiraman Vasumathy S, Selvakumar HKK, Alagu M. Genetic diversity and population structure of rice (Oryza sativa L.) landraces from Kerala, India analyzed through genotyping-by-sequencing. Mol Genet Genomics 2022; 297:169-182. [PMID: 35039933 DOI: 10.1007/s00438-021-01844-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 11/28/2021] [Indexed: 11/24/2022]
Abstract
Researchers stand at the vanguard of advancement and application of next-generation sequencing technology for developing dominant strategies for the sustainable management of genetically diverse crops. We attempt to fill the existing research lacuna in the molecular characterization of potent rice landraces in Kerala. Genotyping-by-sequencing (GBS) was performed on 96 Kerala rice accessions to identify single-nucleotide polymorphisms (SNPs), to examine the genetic diversity, population structure, and to delineate linkage disequilibrium (LD) pattern. GBS identified 5856 high-quality SNPs. The structure analysis indicated three subpopulations with the highest probability for population clustering with significant genetic differentiation, confirmed by principal component analysis. The genome-wide LD decay distance was 772 kb, at which the r2 dropped to half its maximum value. The analysis of genetic properties of the identified SNP panel with an average polymorphism information content (PIC) value of 0.22 and a minor allele frequency (MAF) > 0.1 unveiled their efficacy in genome-wide association studies (GWAS). High FST (0.266) and low Nm (0.692) portray a strong genetic differentiation among the rice landraces, complementing the genetic structuring observed in the studied population. Slow LD decay in the rice landraces reflects their self-pollinating behavior and the indirect selection of desired traits by domestication. Moreover, the high LD entails only a minimum number of SNP markers for detecting marker-trait association. The diverse germplasm utilized in this study can be further utilized to disclose genetic variants associated with phenotypic traits and define signatures of selection via GWAS and selective sweep, respectively.
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Affiliation(s)
- Maya Peringottillam
- Department of Genomic Science, Central University of Kerala, Tejaswini Hills, Periye (PO), Kasaragod, Kerala, 671316, India
| | - Smitha Kunhiraman Vasumathy
- Department of Genomic Science, Central University of Kerala, Tejaswini Hills, Periye (PO), Kasaragod, Kerala, 671316, India
| | - Hari Krishna Kumar Selvakumar
- Department of Genomic Science, Central University of Kerala, Tejaswini Hills, Periye (PO), Kasaragod, Kerala, 671316, India
| | - Manickavelu Alagu
- Department of Genomic Science, Central University of Kerala, Tejaswini Hills, Periye (PO), Kasaragod, Kerala, 671316, India.
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Brock JR, Mandáková T, McKain M, Lysak MA, Olsen KM. Chloroplast phylogenomics in Camelina (Brassicaceae) reveals multiple origins of polyploid species and the maternal lineage of C. sativa. HORTICULTURE RESEARCH 2022; 9:6497793. [PMID: 35031794 PMCID: PMC8788360 DOI: 10.1093/hr/uhab050] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 08/09/2021] [Accepted: 08/25/2021] [Indexed: 05/24/2023]
Abstract
The genus Camelina (Brassicaceae) comprises 7-8 diploid, tetraploid, and hexaploid species. Of particular agricultural interest is the biofuel crop, C. sativa (gold-of-pleasure or false flax), an allohexaploid domesticated from the widespread weed, C. microcarpa. Recent cytogenetics and genomics work has uncovered the identity of the parental diploid species involved in ancient polyploidization events in Camelina. However, little is known about the maternal subgenome ancestry of contemporary polyploid species. To determine the diploid maternal contributors of polyploid Camelina lineages, we sequenced and assembled 84 Camelina chloroplast genomes for phylogenetic analysis. Divergence time estimation was used to infer the timing of polyploidization events. Chromosome counts were also determined for 82 individuals to assess ploidy and cytotypic variation. Chloroplast genomes showed minimal divergence across the genus, with no observed gene-loss or structural variation. Phylogenetic analyses revealed C. hispida as a maternal diploid parent to the allotetraploid Camelina rumelica, and C. neglecta as the closest extant diploid contributor to the allohexaploids C. microcarpa and C. sativa. The tetraploid C. rumelica appears to have evolved through multiple independent hybridization events. Divergence times for polyploid lineages closely related to C. sativa were all inferred to be very recent, at only ~65 thousand years ago. Chromosome counts confirm that there are two distinct cytotypes within C. microcarpa (2n = 38 and 2n = 40). Based on these findings and other recent research, we propose a model of Camelina subgenome relationships representing our current understanding of the hybridization and polyploidization history of this recently-diverged genus.
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Affiliation(s)
- Jordan R Brock
- Department of Biology, Washington University in St. Louis, St. Louis, Missouri, 63130 USA
| | - Terezie Mandáková
- CEITEC – Central European Institute of Technology, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic
| | - Michael McKain
- Department of Biological Sciences, The University of Alabama, 411 Mary Harmon Bryant Hall, Tuscaloosa, Alabama, 35487 USA
| | - Martin A Lysak
- CEITEC – Central European Institute of Technology, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic
| | - Kenneth M Olsen
- Department of Biology, Washington University in St. Louis, St. Louis, Missouri, 63130 USA
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Shaibu AS, Ibrahim H, Miko ZL, Mohammed IB, Mohammed SG, Yusuf HL, Kamara AY, Omoigui LO, Karikari B. Assessment of the Genetic Structure and Diversity of Soybean ( Glycine max L.) Germplasm Using Diversity Array Technology and Single Nucleotide Polymorphism Markers. PLANTS (BASEL, SWITZERLAND) 2021; 11:68. [PMID: 35009071 PMCID: PMC8747349 DOI: 10.3390/plants11010068] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 12/11/2021] [Accepted: 12/14/2021] [Indexed: 11/20/2022]
Abstract
Knowledge of the genetic structure and diversity of germplasm collections is crucial for sustainable genetic improvement through hybridization programs and rapid adaptation to changing breeding objectives. The objective of this study was to determine the genetic diversity and population structure of 281 International Institute of Tropical Agriculture (IITA) soybean accessions using diversity array technology (DArT) and single nucleotide polymorphism (SNP) markers for the efficient utilization of these accessions. From the results, the SNP and DArT markers were well distributed across the 20 soybean chromosomes. The cluster and principal component analyses revealed the genetic diversity among the 281 accessions by grouping them into two stratifications, a grouping that was also evident from the population structure analysis, which divided the 281 accessions into two distinct groups. The analysis of molecular variance revealed that 97% and 98% of the genetic variances using SNP and DArT markers, respectively, were within the population. Genetic diversity indices such as Shannon's diversity index, diversity and unbiased diversity revealed the diversity among the different populations of the soybean accessions. The SNP and DArT markers used provided similar information on the structure, diversity and polymorphism of the accessions, which indicates the applicability of the DArT marker in genetic diversity studies. Our study provides information about the genetic structure and diversity of the IITA soybean accessions that will allow for the efficient utilization of these accessions in soybean improvement programs, especially in Africa.
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Affiliation(s)
- Abdulwahab S. Shaibu
- Department of Agronomy, Bayero University Kano, Kano 700001, Nigeria; (H.I.); (Z.L.M.); (I.B.M.)
| | - Hassan Ibrahim
- Department of Agronomy, Bayero University Kano, Kano 700001, Nigeria; (H.I.); (Z.L.M.); (I.B.M.)
| | - Zainab L. Miko
- Department of Agronomy, Bayero University Kano, Kano 700001, Nigeria; (H.I.); (Z.L.M.); (I.B.M.)
| | - Ibrahim B. Mohammed
- Department of Agronomy, Bayero University Kano, Kano 700001, Nigeria; (H.I.); (Z.L.M.); (I.B.M.)
| | - Sanusi G. Mohammed
- Centre for Dryland Agriculture, Bayero University Kano, Kano 700001, Nigeria;
| | - Hauwa L. Yusuf
- Department of Food Science and Technology, Bayero University Kano, Kano 700001, Nigeria;
| | - Alpha Y. Kamara
- International Institute of Tropical Agriculture, Ibadan 200211, Nigeria; (A.Y.K.); (L.O.O.)
| | - Lucky O. Omoigui
- International Institute of Tropical Agriculture, Ibadan 200211, Nigeria; (A.Y.K.); (L.O.O.)
| | - Benjamin Karikari
- Department of Crop Science, Faculty of Agriculture, Food and Consumer Sciences, University for Development Studies, P.O. Box TL 1882, Tamale 00233, Ghana;
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Genetic Diversity and Population Structure Analysis of the USDA Olive Germplasm Using Genotyping-By-Sequencing (GBS). Genes (Basel) 2021; 12:genes12122007. [PMID: 34946959 PMCID: PMC8701156 DOI: 10.3390/genes12122007] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Revised: 12/10/2021] [Accepted: 12/14/2021] [Indexed: 12/20/2022] Open
Abstract
Olives are one of the most important fruit and woody oil trees cultivated in many parts of the world. Olive oil is a critical component of the Mediterranean diet due to its importance in heart health. Olives are believed to have been brought to the United States from the Mediterranean countries in the 18th century. Despite the increase in demand and production areas, only a few selected olive varieties are grown in most traditional or new growing regions in the US. By understanding the genetic background, new sources of genetic diversity can be incorporated into the olive breeding programs to develop regionally adapted varieties for the US market. This study aimed to explore the genetic diversity and population structure of 90 olive accessions from the USDA repository along with six popular varieties using genotyping-by-sequencing (GBS)-generated SNP markers. After quality filtering, 54,075 SNP markers were retained for the genetic diversity analysis. The average gene diversity (GD) and polymorphic information content (PIC) values of the SNPs were 0.244 and 0.206, respectively, indicating a moderate genetic diversity for the US olive germplasm evaluated in this study. The structure analysis showed that the USDA collection was distributed across seven subpopulations; 63% of the accessions were grouped into an identifiable subpopulation. The phylogenetic and principal coordinate analysis (PCoA) showed that the subpopulations did not align with the geographical origins or climatic zones. An analysis of the molecular variance revealed that the major genetic variation sources were within populations. These findings provide critical information for future olive breeding programs to select genetically distant parents and facilitate future gene identification using genome-wide association studies (GWAS) or a marker-assisted selection (MAS) to develop varieties suited to production in the US.
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Choudhury DR, Kumar R, S VD, Singh K, Singh NK, Singh R. Identification of a Diverse Core Set Panel of Rice From the East Coast Region of India Using SNP Markers. Front Genet 2021; 12:726152. [PMID: 34899828 PMCID: PMC8655924 DOI: 10.3389/fgene.2021.726152] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 10/26/2021] [Indexed: 11/16/2022] Open
Abstract
In India, rice (Oryza sativa L.) is cultivated under a variety of climatic conditions. Due to the fragility of the coastal ecosystem, rice farming in these areas has lagged behind. Salinity coupled with floods has added to this trend. Hence, to prevent genetic erosion, conserving and characterizing the coastal rice, is the need of the hour. This work accessed the genetic variation and population structure among 2,242 rice accessions originating from India’s east coast comprising Andhra Pradesh, Orissa, and Tamil Nadu, using 36 SNP markers, and have generated a core set (247 accessions) as well as a mini-core set (30 accessions) of rice germplasm. All the 36 SNP loci were biallelic and 72 alleles found with average two alleles per locus. The genetic relatedness of the total collection was inferred using the un-rooted neighbor-joining tree, which grouped all the genotypes (2,242) into three major clusters. Two groups were obtained with a core set and three groups obtained with a mini core set. The mean PIC value of total collection was 0.24, and those of the core collection and mini core collection were 0.27 and 0.32, respectively. The mean heterozygosity and gene diversity of the overall collection were 0.07 and 0.29, respectively, and the core set and mini core set revealed 0.12 and 0.34, 0.20 and 0.40 values, respectively, representing 99% of distinctiveness in the core and mini core sets. Population structure analysis showed maximum population at K = 4 for total collection and core collection. Accessions were distributed according to their population structure confirmed by PCoA and AMOVA analysis. The identified small and diverse core set panel will be useful in allele mining for biotic and abiotic traits and managing the genetic diversity of the coastal rice collection. Validation of the 36-plex SNP assay was done by comparing the genetic diversity parameters across two different rice core collections, i.e., east coast and northeast rice collection. The same set of SNP markers was found very effective in deciphering diversity at different genetic parameters in both the collections; hence, these marker sets can be utilized for core development and diversity analysis studies.
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Affiliation(s)
| | - Ramesh Kumar
- Division of Genomic Resources, NBPGR, New Delhi, India
| | - Vimala Devi S
- Division of Germplasm Conservation, NBPGR, New Delhi, India
| | | | | | - Rakesh Singh
- Division of Genomic Resources, NBPGR, New Delhi, India
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Thant AA, Zaw H, Kalousova M, Singh RK, Lojka B. Genetic Diversity and Population Structure of Myanmar Rice (Oryza sativa L.) Varieties Using DArTseq-Based SNP and SilicoDArT Markers. PLANTS 2021; 10:plants10122564. [PMID: 34961035 PMCID: PMC8707408 DOI: 10.3390/plants10122564] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Revised: 11/18/2021] [Accepted: 11/20/2021] [Indexed: 11/25/2022]
Abstract
Myanmar is well known as a primary center of plant genetic resources for rice. A considerable number of genetic diversity studies have been conducted in Myanmar using various DNA markers. However, this is the first report using DArTseq technology for exploring the genetic diversity of Myanmar rice. In our study, two ultra-high-throughput diversity array technology markers were employed to investigate the genetic diversity and population structure of local rice varieties in the Ayeyarwady delta, the major region of rice cultivation. The study was performed using 117 rice genotypes with 7643 SNP and 4064 silicoDArT markers derived from the DArT platform. Genetic variance among the genotypes ranged from 0 to 0.753 in SNPs, and from 0.001 to 0.954 in silicoDArT. Two distinct population groups were identified from SNP data analysis. Cluster analysis with both markers clearly separated traditional Pawsan varieties and modern high-yielding varieties. A significant divergence was found between populations according to the Fst values (0.737) obtained from the analysis of molecular variance, which revealed 74% genetic variation at the population level. These findings support rice researchers in identifying useful DNA polymorphisms in genes and pinpointing specific genes conferring desirable phenotypic traits for further genome-wide association studies and parental selection for recombination breeding to enhance rice varietal development and release.
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Affiliation(s)
- Aye Aye Thant
- Department of Crop Sciences and Agroforestry, Faculty of Tropical AgriSciences, Czech University of Life Sciences Prague, Kamýcká 129, Praha 6 Suchdol, 165 00 Prague, Czech Republic;
- Correspondence: (A.A.T.); (B.L.); Tel.: +420-773495976 (A.A.T.); +420-224382171 or +420-734170763 (B.L.)
| | - Hein Zaw
- Plant Biotechnology Center, Pale Myothit, Shwe Nanthar, Mingaladon, Yangon 110 23, Myanmar;
| | - Marie Kalousova
- Department of Crop Sciences and Agroforestry, Faculty of Tropical AgriSciences, Czech University of Life Sciences Prague, Kamýcká 129, Praha 6 Suchdol, 165 00 Prague, Czech Republic;
| | - Rakesh Kumar Singh
- International Center for Biosaline Agriculture, Crop Diversification and Genetics, Al Rwayyah 2, Academic City, Dubai P.O. Box 14660, United Arab Emirates;
| | - Bohdan Lojka
- Department of Crop Sciences and Agroforestry, Faculty of Tropical AgriSciences, Czech University of Life Sciences Prague, Kamýcká 129, Praha 6 Suchdol, 165 00 Prague, Czech Republic;
- Correspondence: (A.A.T.); (B.L.); Tel.: +420-773495976 (A.A.T.); +420-224382171 or +420-734170763 (B.L.)
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Rajesh MK, Gangurde SS, Pandey MK, Niral V, Sudha R, Jerard BA, Kadke GN, Sabana AA, Muralikrishna KS, Samsudeen K, Karun A, Prasad TSK. Insights on Genetic Diversity, Population Structure, and Linkage Disequilibrium in Globally Diverse Coconut Accessions Using Genotyping-by-Sequencing. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2021; 25:796-809. [PMID: 34757849 DOI: 10.1089/omi.2021.0159] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Genotyping-by-sequencing (GBS) has emerged as a cost-effective approach for genome-wide discovery of single-nucleotide polymorphism (SNP) markers and high-throughput genotyping. In this study, 96 coconut palms, representing 16 accessions from globally diverse origins, were genotyped using the GBS strategy. A total of 10,835 high-quality SNPs, which were identified after stringent filtering, were utilized to assess genetic diversity, population structure, and linkage disequilibrium (LD) analyses. The polymorphism information content (PIC) values of SNPs ranged from 0.1 to 0.4, with a large proportion of SNPs (8633 nos.; 79.7%) having a higher PIC in the range of 0.3-0.4. The genetic diversity analysis revealed the existence of a high level of variation in coconut accessions, with an average expected heterozygosity (He) value of 0.43. Unweighted neighbor-joining phylogenetic tree and Bayesian-based model population structure grouped coconut genotypes into four main clusters. The accessions are generally clustered based on their height (tall or dwarf), with a few accession clusterings based on geographical origins. Investigation of LD pattern in coconut indicated a relatively rapid LD decay with a short range (9 kb). The results obtained in this study will contribute to enhancing the capacity of coconut researchers to utilize genetic diversity for further genetic improvement. In addition, it would open up possibilities for performing genomic studies such as genome-wide association studies and genomic selection to accelerate the efficiency and speed of coconut genetic improvement.
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Affiliation(s)
- Muliyar Krishna Rajesh
- Division of Crop Improvement, ICAR-Central Plantation Crops Research Institute (ICAR-CPCRI), Kasaragod, Kerala, India
| | - Sunil Shivaji Gangurde
- Centre of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana, India
| | - Manish Kumar Pandey
- Centre of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana, India
| | - Vittal Niral
- Division of Crop Improvement, ICAR-Central Plantation Crops Research Institute (ICAR-CPCRI), Kasaragod, Kerala, India
| | - Raju Sudha
- Division of Crop Improvement, ICAR-Central Plantation Crops Research Institute (ICAR-CPCRI), Kasaragod, Kerala, India
| | - Bosco Augustine Jerard
- ICAR-Central Island Agricultural Research Institute (ICAR-CIARI), Port Blair, Andaman and Nicobar Islands, India
| | | | - Abdulla Abdulla Sabana
- Division of Crop Improvement, ICAR-Central Plantation Crops Research Institute (ICAR-CPCRI), Kasaragod, Kerala, India
| | | | - Kukkamgai Samsudeen
- Division of Crop Improvement, ICAR-Central Plantation Crops Research Institute (ICAR-CPCRI), Kasaragod, Kerala, India
| | - Anitha Karun
- Division of Crop Improvement, ICAR-Central Plantation Crops Research Institute (ICAR-CPCRI), Kasaragod, Kerala, India
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Mathavaraj S, Sabu KK. Genetic diversity and structure revealed by genomic microsatellite markers in Centella asiatica (L.) Urb., a plant with medicinal potential. Mol Biol Rep 2021; 48:7387-7396. [PMID: 34716865 DOI: 10.1007/s11033-021-06748-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 09/15/2021] [Indexed: 10/19/2022]
Abstract
BACKGROUND Around the world, medicinal plants are utilised for various purposes. Centella asiatica is one of the important medicinal plants widely used in many medicinal systems. Nevertheless, analysis of the genetic diversity would pave the way for its most suitable utilisation. METHODS AND RESULTS The present study analyses the genetic diversity and structure of eighty C. asiatica accessions collected from the southern states of India, using ten genomic microsatellite markers. The mean Nei's gene diversity (0.46) indicates considerable genetic diversity. Analysis of molecular variance (82.48%) exhibited significant genetic variance between samples within the population. The cluster analysis brought out the structure of the analysed populations as three subpopulations based on the genetic differentiation. CONCLUSIONS The study showed significant intra-population variation, predominant inbreeding and population differentiation in C. asiatica. The findings will help better understanding of the genetic structure and gene pool of the plant.
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Affiliation(s)
- Sakthipriya Mathavaraj
- Jawaharlal Nehru Tropical Botanic Garden and Research Institute (JNTBGRI), Palode, Thiruvananthapuram, 695562, India
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Thakur S, Yadav IS, Jindal M, Sharma PK, Dhillon GS, Boora RS, Arora NK, Gill MIS, Chhuneja P, Mittal A. Development of Genome-Wide Functional Markers Using Draft Genome Assembly of Guava ( Psidium guajava L.) cv. Allahabad Safeda to Expedite Molecular Breeding. FRONTIERS IN PLANT SCIENCE 2021; 12:708332. [PMID: 34630458 PMCID: PMC8494772 DOI: 10.3389/fpls.2021.708332] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 08/24/2021] [Indexed: 06/13/2023]
Abstract
Guava (Psidium guajava L.), a rich source of nutrients, is an important tropical and subtropical fruit of the Myrtaceae family and exhibits magnificent diversity. Genetic diversity analysis is the first step toward the identification of parents for hybridization, genetic mapping, and molecular breeding in any crop species. A diversity analysis based on whole-genome functional markers increases the chances of identifying genetic associations with agronomically important traits. Therefore, here, we sequenced the genome of guava cv. Allahabad Safeda on an Illumina platform and generated a draft assembly of ~304 MB. The assembly of the Allahabad Safeda genome constituted >37.95% repeat sequences, gene prediction with RNA-seq data as evidence identified 14,115 genes, and BLAST n/r, Interproscan, PfamScan, BLAST2GO, and KEGG annotated 13,957 genes. A comparative protein transcript analysis of tree species revealed the close relatedness of guava with Eucalyptus. Comparative transcriptomics-based SSR/InDel/SNP-PCR ready genome-wide markers in greenish-yellow skinned and white fleshed-Allahabad Safeda to four contrasting cultivars viz apple-color-skinned and white-fleshed-Lalima, greenish-yellow-skinned and pink-fleshed-Punjab Pink, purple-black-skinned and purple-fleshed-Purple Local and widely used rootstock-Lucknow-49 were developed. The molecular markers developed here revealed a high level of individual heterozygosity within genotypes in 22 phenotypically diverse guava cultivars. Principal coordinate, STRUCTURE clustering, and neighbor-joining-based genetic diversity analysis identified distinct clusters associated with fruit skin and flesh color. The genome sequencing of guava, functional annotation, comparative transcriptomics-based genome-wide markers, and genetic diversity analysis will expand the knowledge of genomes of climacteric fruits, facilitating trait-based molecular breeding and diversifying the nutritional basket.
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Affiliation(s)
- Sujata Thakur
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
| | - Inderjit Singh Yadav
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
| | - Manish Jindal
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
| | - Parva Kumar Sharma
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
| | | | - Rajbir Singh Boora
- Fruit Research Sub-Station, Punjab Agricultural University, Bahadurgarh, India
| | - Naresh Kumar Arora
- Department of Fruit Science, Punjab Agricultural University, Ludhiana, India
| | | | - Parveen Chhuneja
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
| | - Amandeep Mittal
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
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Adu BG, Akromah R, Amoah S, Nyadanu D, Yeboah A, Aboagye LM, Amoah RA, Owusu EG. High-density DArT-based SilicoDArT and SNP markers for genetic diversity and population structure studies in cassava (Manihot esculenta Crantz). PLoS One 2021; 16:e0255290. [PMID: 34314448 PMCID: PMC8315537 DOI: 10.1371/journal.pone.0255290] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 07/14/2021] [Indexed: 11/23/2022] Open
Abstract
Cassava (Manihot esculenta Crantz) is an important industrial and staple crop due to its high starch content, low input requirement, and resilience which makes it an ideal crop for sustainable agricultural systems and marginal lands in the tropics. However, the lack of genomic information on local genetic resources has impeded efficient conservation and improvement of the crop and the exploration of its full agronomic and breeding potential. This work was carried out to obtain information on population structure and extent of genetic variability among some local landraces conserved at the Plant Genetic Resources Research Institute, Ghana and exotic cassava accessions with Diversity Array Technology based SilicoDArT and SNP markers to infer how the relatedness in the genetic materials can be used to enhance germplasm curation and future breeding efforts. A total of 10521 SilicoDArT and 10808 SNP markers were used with varying polymorphic information content (PIC) values. The average PIC was 0.36 and 0.28 for the SilicoDArT and SNPs respectively. Population structure and average linkage hierarchical clustering based on SNPs revealed two distinct subpopulations and a large number of admixtures. Both DArT platforms identified 22 landraces as potential duplicates based on Gower's genetic dissimilarity. The expected heterozygosity which defines the genetic variation within each subpopulation was 0.008 for subpop1 which were mainly landraces and 0.391 for subpop2 indicating the homogeneous and admixture nature of the two subpopulations. Further analysis upon removal of the duplicates increased the expected heterozygosity of subpop1 from 0.008 to 0.357. A mantel test indicated strong interdependence (r = 0.970; P < 0.001) between SilicoDArT and DArTSeq SNP genotypic data suggesting both marker platforms as a robust system for genomic studies in cassava. These findings provide important information for efficient ex-situ conservation of cassava, future heterosis breeding, and marker-assisted selection (MAS) to enhance cassava improvement.
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Affiliation(s)
- Bright Gyamfi Adu
- Council for Scientific and Industrial Research-Plant Genetics Resources Research Institute, Bunso, Ghana
| | - Richard Akromah
- Department of Crop and Soil Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Stephen Amoah
- Department of Crop and Soil Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | | | - Alex Yeboah
- Council for Scientific and Industrial Research -Savanna Agricultural Research Institute, Tamale, Ghana
| | - Lawrence Missah Aboagye
- Council for Scientific and Industrial Research-Plant Genetics Resources Research Institute, Bunso, Ghana
| | - Richard Adu Amoah
- Council for Scientific and Industrial Research-Plant Genetics Resources Research Institute, Bunso, Ghana
| | - Eva Gyamfuaa Owusu
- Department of Statistics and Actuarial Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
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Li H, Hu X, Lovell JT, Grabowski PP, Mamidi S, Chen C, Amirebrahimi M, Kahanda I, Mumey B, Barry K, Kudrna D, Schmutz J, Lachowiec J, Lu C. Genetic dissection of natural variation in oilseed traits of camelina by whole-genome resequencing and QTL mapping. THE PLANT GENOME 2021; 14:e20110. [PMID: 34106529 DOI: 10.1002/tpg2.20110] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 04/29/2021] [Indexed: 06/12/2023]
Abstract
Camelina [Camelina sativa (L.) Crantz] is an oilseed crop in the Brassicaceae family that is currently being developed as a source of bioenergy and healthy fatty acids. To facilitate modern breeding efforts through marker-assisted selection and biotechnology, we evaluated genetic variation among a worldwide collection of 222 camelina accessions. We performed whole-genome resequencing to obtain single nucleotide polymorphism (SNP) markers and to analyze genomic diversity. We also conducted phenotypic field evaluations in two consecutive seasons for variations in key agronomic traits related to oilseed production such as seed size, oil content (OC), fatty acid composition, and flowering time. We determined the population structure of the camelina accessions using 161,301 SNPs. Further, we identified quantitative trait loci (QTL) and candidate genes controlling the above field-evaluated traits by genome-wide association studies (GWAS) complemented with linkage mapping using a recombinant inbred line (RIL) population. Characterization of the natural variation at the genome and phenotypic levels provides valuable resources to camelina genetic studies and crop improvement. The QTL and candidate genes should assist in breeding of advanced camelina varieties that can be integrated into the cropping systems for the production of high yield of oils of desired fatty acid composition.
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Affiliation(s)
- Huang Li
- Department of Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT, 59717, USA
| | - Xiao Hu
- School of Computing, Montana State University, Bozeman, MT, 59717, USA
| | - John T Lovell
- Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL, 38508, USA
| | - Paul P Grabowski
- Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL, 38508, USA
| | - Sujan Mamidi
- Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL, 38508, USA
| | - Cindy Chen
- United States Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Mojgan Amirebrahimi
- United States Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Indika Kahanda
- School of Computing, Montana State University, Bozeman, MT, 59717, USA
| | - Brendan Mumey
- School of Computing, Montana State University, Bozeman, MT, 59717, USA
| | - Kerrie Barry
- United States Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - David Kudrna
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ, 85721, USA
| | - Jeremy Schmutz
- Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL, 38508, USA
- United States Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Jennifer Lachowiec
- Department of Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT, 59717, USA
| | - Chaofu Lu
- Department of Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT, 59717, USA
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Abstract
Pinus koraiensis is a well-known precious tree species in East Asia with high economic, ornamental and ecological value. More than fifty percent of the P. koraiensis forests in the world are distributed in northeast China, a region with abundant germplasm resources. However, these natural P. koraiensis sources are in danger of genetic erosion caused by continuous climate changes, natural disturbances such as wildfire and frequent human activity. Little work has been conducted on the population genetic structure and genetic differentiation of P. koraiensis in China because of the lack of genetic information. In this study, 480 P. koraiensis individuals from 16 natural populations were sampled and genotyped. Fifteen polymorphic expressed sequence tag-simple sequence repeat (EST-SSR) markers were used to evaluate genetic diversity, population structure and differentiation in P. koraiensis. Analysis of molecular variance (AMOVA) of the EST-SSR marker data showed that 33% of the total genetic variation was among populations and 67% was within populations. A high level of genetic diversity was found across the P. koraiensis populations, and the highest levels of genetic diversity were found in HH, ZH, LS and TL populations. Moreover, pairwise Fst values revealed significant genetic differentiation among populations (mean Fst = 0.177). According to the results of the STRUCTURE and Neighbor-joining (NJ) tree analyses and principal component analysis (PCA), the studied geographical populations cluster into two genetic clusters: cluster 1 from Xiaoxinganling Mountains and cluster 2 from Changbaishan Mountains. These results are consistent with the geographical distributions of the populations. The results provide new genetic information for future genome-wide association studies (GWAS), marker-assisted selection (MAS) and genomic selection (GS) in natural P. koraiensis breeding programs and can aid the development of conservation and management strategies for this valuable conifer species.
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Ogbonna AC, Braatz de Andrade LR, Mueller LA, de Oliveira EJ, Bauchet GJ. Comprehensive genotyping of a Brazilian cassava (Manihot esculenta Crantz) germplasm bank: insights into diversification and domestication. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:1343-1362. [PMID: 33575821 PMCID: PMC8081687 DOI: 10.1007/s00122-021-03775-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 01/11/2021] [Indexed: 05/03/2023]
Abstract
KEY MESSAGE Brazilian cassava diversity was characterized through population genetics and clustering approaches, highlighting contrasted genetic groups and spatial genetic differentiation. Cassava (Manihot esculenta Crantz) is a major staple root crop of the tropics, originating from the Amazonian region. In this study, 3354 cassava landraces and modern breeding lines from the Embrapa Cassava Germplasm Bank (CGB) were characterized. All individuals were subjected to genotyping-by-sequencing (GBS), identifying 27,045 single-nucleotide polymorphisms (SNPs). Identity-by-state and population structure analyses revealed a unique set of 1536 individuals and 10 distinct genetic groups with heterogeneous linkage disequilibrium (LD). On this basis, a density of 1300-4700 SNP markers were selected for large-effect quantitative trait loci (QTL) detection. Identified genetic groups were further characterized for population genetics parameters including minor allele frequency (MAF), observed heterozygosity [Formula: see text], effective population size estimate [Formula: see text]) and polymorphism information content (PIC). Selection footprints and introgressions of M. glaziovii were detected. Spatial population structure analysis revealed five ancestral populations related to distinct Brazilian ecoregions. Estimation of historical relationships among identified populations suggests an early population split from Amazonian to Atlantic forest and Caatinga ecoregions and active gene flows. This study provides a thorough genetic characterization of ex situ germplasm resources from cassava's center of origin, South America, with results shedding light on Brazilian cassava characteristics and its biogeographical landscape. These findings support and facilitate the use of genetic resources in modern breeding programs including implementation of association mapping and genomic selection strategies.
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Affiliation(s)
- Alex C Ogbonna
- Cornell University, Ithaca, NY, USA
- Boyce Thompson Institute for Plant Research, Ithaca, NY, USA
| | | | - Lukas A Mueller
- Cornell University, Ithaca, NY, USA
- Boyce Thompson Institute for Plant Research, Ithaca, NY, USA
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Ogbonna AC, Braatz de Andrade LR, Mueller LA, de Oliveira EJ, Bauchet GJ. Comprehensive genotyping of a Brazilian cassava (Manihot esculenta Crantz) germplasm bank: insights into diversification and domestication. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:1343-1362. [PMID: 33575821 DOI: 10.1101/2020.07.13.200816] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 01/11/2021] [Indexed: 05/25/2023]
Abstract
Brazilian cassava diversity was characterized through population genetics and clustering approaches, highlighting contrasted genetic groups and spatial genetic differentiation. Cassava (Manihot esculenta Crantz) is a major staple root crop of the tropics, originating from the Amazonian region. In this study, 3354 cassava landraces and modern breeding lines from the Embrapa Cassava Germplasm Bank (CGB) were characterized. All individuals were subjected to genotyping-by-sequencing (GBS), identifying 27,045 single-nucleotide polymorphisms (SNPs). Identity-by-state and population structure analyses revealed a unique set of 1536 individuals and 10 distinct genetic groups with heterogeneous linkage disequilibrium (LD). On this basis, a density of 1300-4700 SNP markers were selected for large-effect quantitative trait loci (QTL) detection. Identified genetic groups were further characterized for population genetics parameters including minor allele frequency (MAF), observed heterozygosity [Formula: see text], effective population size estimate [Formula: see text]) and polymorphism information content (PIC). Selection footprints and introgressions of M. glaziovii were detected. Spatial population structure analysis revealed five ancestral populations related to distinct Brazilian ecoregions. Estimation of historical relationships among identified populations suggests an early population split from Amazonian to Atlantic forest and Caatinga ecoregions and active gene flows. This study provides a thorough genetic characterization of ex situ germplasm resources from cassava's center of origin, South America, with results shedding light on Brazilian cassava characteristics and its biogeographical landscape. These findings support and facilitate the use of genetic resources in modern breeding programs including implementation of association mapping and genomic selection strategies.
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Affiliation(s)
- Alex C Ogbonna
- Cornell University, Ithaca, NY, USA
- Boyce Thompson Institute for Plant Research, Ithaca, NY, USA
| | | | - Lukas A Mueller
- Cornell University, Ithaca, NY, USA
- Boyce Thompson Institute for Plant Research, Ithaca, NY, USA
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Nkhata W, Shimelis H, Melis R, Chirwa R, Mzengeza T, Mathew I, Shayanowako A. Genome-wide association analysis of bean fly resistance and agro-morphological traits in common bean. PLoS One 2021; 16:e0250729. [PMID: 33914796 PMCID: PMC8084209 DOI: 10.1371/journal.pone.0250729] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Accepted: 04/12/2021] [Indexed: 11/19/2022] Open
Abstract
The bean fly (Ophiomyia spp) is a key insect pest causing significant crop damage and yield loss in common bean (Phaseolus vulgaris L., 2n = 2x = 22). Development and deployment of agronomic superior and bean fly resistant common bean varieties aredependent on genetic variation and the identification of genes and genomic regions controlling economic traits. This study's objective was to determine the population structure of a diverse panel of common bean genotypes and deduce associations between bean fly resistance and agronomic traits based on single nucleotide polymorphism (SNP) markers. Ninety-nine common bean genotypes were phenotyped in two seasons at two locations and genotyped with 16 565 SNP markers. The genotypes exhibited significant variation for bean fly damage severity (BDS), plant mortality rate (PMR), and pupa count (PC). Likewise, the genotypes showed significant variation for agro-morphological traits such as days to flowering (DTF), days to maturity (DTM), number of pods per plant (NPP), number of seeds per pod (NSP), and grain yield (GYD). The genotypes were delineated into two populations, which were based on the Andean and Mesoamerican gene pools. The genotypes exhibited a minimum membership coefficient of 0.60 to their respective populations. Eighty-three significant (P<0.01) markers were identified with an average linkage disequilibrium of 0.20 at 12Mb across the 11 chromosomes. Three markers were identified, each having pleiotropic effects on two traits: M100049197 (BDS and NPP), M3379537 (DTF and PC), and M13122571 (NPP and GYD). The identified markers are useful for marker-assisted selection in the breeding program to develop common bean genotypes with resistance to bean fly damage.
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Affiliation(s)
- Wilson Nkhata
- African Centre for Crop Improvement, School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Scottsville, Pietermaritzburg, South Africa
- * E-mail:
| | - Hussein Shimelis
- African Centre for Crop Improvement, School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Scottsville, Pietermaritzburg, South Africa
| | - Rob Melis
- African Centre for Crop Improvement, School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Scottsville, Pietermaritzburg, South Africa
| | - Rowland Chirwa
- Alliance of Biodiversity International and CIAT, Chitedze Agricultural Station, Lilongwe, Malawi
| | - Tenyson Mzengeza
- Department of Agricultural Research Service, Chitedze Agricultural Research Station, Lilongwe, Malawi
| | - Isack Mathew
- African Centre for Crop Improvement, School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Scottsville, Pietermaritzburg, South Africa
| | - Admire Shayanowako
- African Centre for Crop Improvement, School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Scottsville, Pietermaritzburg, South Africa
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Lee KJ, Sebastin R, Cho GT, Yoon M, Lee GA, Hyun DY. Genetic Diversity and Population Structure of Potato Germplasm in RDA-Genebank: Utilization for Breeding and Conservation. PLANTS (BASEL, SWITZERLAND) 2021; 10:752. [PMID: 33921437 PMCID: PMC8068792 DOI: 10.3390/plants10040752] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 04/08/2021] [Accepted: 04/08/2021] [Indexed: 11/17/2022]
Abstract
Potato (Solanum tuberosum L.) is an important staple food and economic crop in many countries. It is of critical importance to understand the genetic diversity and population structure for effective collection, conservation, and utilization of potato germplasm. Thus, the objective of the present study was to investigate the genetic diversity and population structure of potato germplasm conserved in the National Agrobiodiversity Center (NAC) of South Korea to provide basic data for future preservation and breeding of potato genetic resources. A total of 24 simple sequence repeat (SSR) markers were used to assess the genetic diversity and population structure of 482 potato accessions. A total of 257 alleles were detected, with an average of 10.71 alleles per locus. Analysis of molecular variance showed that 97% of allelic diversity was attributed to individual accessions within the population, while only 3% was distributed among populations. Results of genetic structure analysis based on STRUCTURE and discriminant analysis of principal components revealed that 482 potato accessions could be divided into two main subpopulations. Accessions of subpopulation 1 mainly belonged to cultivars and breeding lines. Accessions of subpopulations 2 basically corresponded to wild relatives of potatoes. Results of this study provide useful information for potato improvement and conservation programs, although further studies are needed for a more accurate evaluation of genetic diversity and phenotypic traits of potatoes.
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Affiliation(s)
- Kyung-Jun Lee
- National Agrobiodiversity Center, National Institute of Agricultural Sciences (NAS), RDA, Jeonju 54874, Jeol-labuk-do, Korea; (K.-J.L.); (R.S.); (G.-T.C.); (M.Y.); (G.-A.L.)
- Honam National Institute of Biological Resources, 99, Gohadoan-gil, Mokpo-si 58762, Jeollanam-do, Korea
| | - Raveendar Sebastin
- National Agrobiodiversity Center, National Institute of Agricultural Sciences (NAS), RDA, Jeonju 54874, Jeol-labuk-do, Korea; (K.-J.L.); (R.S.); (G.-T.C.); (M.Y.); (G.-A.L.)
| | - Gyu-Taek Cho
- National Agrobiodiversity Center, National Institute of Agricultural Sciences (NAS), RDA, Jeonju 54874, Jeol-labuk-do, Korea; (K.-J.L.); (R.S.); (G.-T.C.); (M.Y.); (G.-A.L.)
| | - Munsup Yoon
- National Agrobiodiversity Center, National Institute of Agricultural Sciences (NAS), RDA, Jeonju 54874, Jeol-labuk-do, Korea; (K.-J.L.); (R.S.); (G.-T.C.); (M.Y.); (G.-A.L.)
| | - Gi-An Lee
- National Agrobiodiversity Center, National Institute of Agricultural Sciences (NAS), RDA, Jeonju 54874, Jeol-labuk-do, Korea; (K.-J.L.); (R.S.); (G.-T.C.); (M.Y.); (G.-A.L.)
| | - Do-Yoon Hyun
- National Agrobiodiversity Center, National Institute of Agricultural Sciences (NAS), RDA, Jeonju 54874, Jeol-labuk-do, Korea; (K.-J.L.); (R.S.); (G.-T.C.); (M.Y.); (G.-A.L.)
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Tehseen MM, Istipliler D, Kehel Z, Sansaloni CP, da Silva Lopes M, Kurtulus E, Muazzam S, Nazari K. Genetic Diversity and Population Structure Analysis of Triticum aestivum L. Landrace Panel from Afghanistan. Genes (Basel) 2021; 12:genes12030340. [PMID: 33668962 PMCID: PMC7996569 DOI: 10.3390/genes12030340] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 02/18/2021] [Accepted: 02/20/2021] [Indexed: 11/27/2022] Open
Abstract
Landraces are a potential source of genetic diversity and provide useful genetic resources to cope with the current and future challenges in crop breeding. Afghanistan is located close to the centre of origin of hexaploid wheat. Therefore, understanding the population structure and genetic diversity of Afghan wheat landraces is of enormous importance in breeding programmes for the development of high-yielding cultivars as well as broadening the genetic base of bread wheat. Here, a panel of 363 bread wheat landraces collected from seven north and north-eastern provinces of Afghanistan were evaluated for population structure and genetic diversity using single nucleotide polymorphic markers (SNPs). The genotyping-by-sequencing of studied landraces after quality control provided 4897 high-quality SNPs distributed across the genomes A (33.75%), B (38.73%), and D (27.50%). The population structure analysis was carried out by two methods using model-based STRUCTURE analysis and cluster-based discriminant analysis of principal components (DAPC). The analysis of molecular variance showed a higher proportion of variation within the sub-populations compared with the variation observed as a whole between sub-populations. STRUCTURE and DAPC analysis grouped the majority of the landraces from Badakhshan and Takhar together in one cluster and the landraces from Baghlan and Kunduz in a second cluster, which is in accordance with the micro-climatic conditions prevalent within the north-eastern agro-ecological zone. Genetic distance analysis was also studied to identify differences among the Afghan regions; the strongest correlation was observed for the Badakhshan and Takhar (0.003), whereas Samangan and Konarha (0.399) showed the highest genetic distance. The population structure and genetic diversity analysis highlighted the complex genetic variation present in the landraces which were highly correlated to the geographic origin and micro-climatic conditions within the agro-climatic zones of the landraces. The higher proportions of admixture could be attributed to historical unsupervised exchanges of seeds between the farmers of the central and north-eastern provinces of Afghanistan. The results of this study will provide useful information for genetic improvement in wheat and is essential for association mapping and genomic prediction studies to identify novel sources for resistance to abiotic and biotic stresses.
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Affiliation(s)
| | - Deniz Istipliler
- Department of Field Crops, Ege University, Bornova, Izmir 35100, Turkey; (M.M.T.); (D.I.)
| | - Zakaria Kehel
- International Center for Agricultural Research in the Dry Areas (ICARDA), ICARDA-PreBreeding & Genebank Operations, Rabat 10000, Morocco;
| | - Carolina P. Sansaloni
- International Maize and Wheat Improvement Center (CIMMYT), Carretera México-Veracruz Km. 45, El Batán, Texcoco C.P. 56237, Mexico;
| | - Marta da Silva Lopes
- IRTA (Institute for Food and Agricultural Research and Technology), 25198 Lleida, Spain;
| | - Ezgi Kurtulus
- International Center for Agricultural Research in the Dry Areas (ICARDA), Turkey-ICARDA Regional Cereal Rust Research Center (RCRRC), Menemen, Izmir 35661, Turkey;
| | - Sana Muazzam
- Department of Plant Breeding and Genetics, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan;
| | - Kumarse Nazari
- International Center for Agricultural Research in the Dry Areas (ICARDA), Turkey-ICARDA Regional Cereal Rust Research Center (RCRRC), Menemen, Izmir 35661, Turkey;
- Correspondence:
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Negisho K, Shibru S, Pillen K, Ordon F, Wehner G. Genetic diversity of Ethiopian durum wheat landraces. PLoS One 2021; 16:e0247016. [PMID: 33596260 PMCID: PMC7888639 DOI: 10.1371/journal.pone.0247016] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 01/30/2021] [Indexed: 01/27/2023] Open
Abstract
Genetic diversity and population structure assessment in crops is essential for marker trait association, marker assisted breeding and crop germplasm conservation. We analyzed a set of 285 durum wheat accessions comprising 215 Ethiopian durum wheat landraces, 10 released durum wheat varieties, 10 advanced durum wheat lines from Ethiopia, and 50 durum wheat lines from CIMMYT. We investigated the genetic diversity and population structure for the complete panel as well as for the 215 landraces, separately based on 11,919 SNP markers with known physical positions. The whole panel was clustered into two populations representing on the one hand mainly the landraces, and on the other hand mainly released, advanced and CIMMYT lines. Further population structure analysis of the landraces uncovered 4 subgroups emphasizing the high degree of genetic diversity within Ethiopian durum landraces. Population structure based AMOVA for both sets unveiled significant (P < 0.001) variation between populations and within populations. Total variation within population accessions (81%, 76%) was higher than total variation between populations (19%, 24%) for both sets. Population structure analysis based genetic differentiation (FST) and gene flow (Nm) for the whole set and the Ethiopian landraces were 0.19 and 0.24, 1.04, and 0.81, respectively indicating high genetic differentiation and limited gene flow. Diversity indices verify that the landrace panel was more diverse with (I = 0.7, He = 0.46, uHe = 0.46) than the advanced lines (I = 0.6, He = 0.42, uHe = 0.42). Similarly, differences within the landrace clusters were observed. In summary a high genetic diversity within Ethiopian durum wheat landraces was detected, which may be a target for national and international wheat improvement programs to exploit valuable traits for biotic and abiotic stresses.
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Affiliation(s)
- Kefyalew Negisho
- Ethiopian Institute of Agricultural Research (EIAR), National Agricultural Biotechnology Research Center, Holeta, Ethiopia
| | - Surafel Shibru
- Ethiopian Institute of Agricultural Research (EIAR), Melkassa Research Center, Melkassa, Ethiopia
| | - Klaus Pillen
- Martin-Luther-University, Institute of Agricultural and Nutritional Sciences, Halle (Saale), Germany
| | - Frank Ordon
- Julius Kühn Institute (JKI), Institute for Resistance Research and Stress Tolerance, Quedlinburg, Germany
| | - Gwendolin Wehner
- Julius Kühn Institute (JKI), Institute for Resistance Research and Stress Tolerance, Quedlinburg, Germany
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Delfini J, Moda-Cirino V, dos Santos Neto J, Ruas PM, Sant’Ana GC, Gepts P, Gonçalves LSA. Population structure, genetic diversity and genomic selection signatures among a Brazilian common bean germplasm. Sci Rep 2021; 11:2964. [PMID: 33536468 PMCID: PMC7859210 DOI: 10.1038/s41598-021-82437-4] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 01/07/2021] [Indexed: 01/30/2023] Open
Abstract
Brazil is the world's largest producer of common bean. Knowledge of the genetic diversity and relatedness of accessions adapted to Brazilian conditions is of great importance for the conservation of germplasm and for directing breeding programs aimed at the development of new cultivars. In this context, the objective of this study was to analyze the genetic diversity, population structure, and linkage disequilibrium (LD) of a diversity panel consisting of 219 common bean accessions, most of which belonging to the Mesoamerican gene pool. Genotyping by sequencing (GBS) of these accessions allowed the identification of 49,817 SNPs with minor allele frequency > 0.05. Of these, 17,149 and 12,876 were exclusive to the Mesoamerican and Andean pools, respectively, and 11,805 SNPs could differentiate the two gene pools. Further the separation according to the gene pool, bayesian analysis of the population structure showed a subdivision of the Mesoamerican accessions based on the origin and color of the seed tegument. LD analysis revealed the occurrence of long linkage blocks and low LD decay with physical distance between SNPs (LD half decay in 249 kb, corrected for population structure and relatedness). The GBS technique could effectively characterize the Brazilian common bean germplasms, and the diversity panel used in this study may be of great use in future genome-wide association studies.
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Affiliation(s)
- Jessica Delfini
- grid.411400.00000 0001 2193 3537Agronomy Department, Universidade Estadual de Londrina (UEL), Londrina, 86051-900 Brazil ,Plant Breeding, Instituto de Desenvolvimento Rural do Paraná-Iapar-Emater (IDR-Paraná), Londrina, 86047-902 Brazil
| | - Vânia Moda-Cirino
- Plant Breeding, Instituto de Desenvolvimento Rural do Paraná-Iapar-Emater (IDR-Paraná), Londrina, 86047-902 Brazil
| | - José dos Santos Neto
- grid.411400.00000 0001 2193 3537Agronomy Department, Universidade Estadual de Londrina (UEL), Londrina, 86051-900 Brazil ,Plant Breeding, Instituto de Desenvolvimento Rural do Paraná-Iapar-Emater (IDR-Paraná), Londrina, 86047-902 Brazil
| | - Paulo Maurício Ruas
- grid.411400.00000 0001 2193 3537Biology Department, Universidade Estadual de Londrina (UEL), Londrina, 86051-900 Brazil
| | | | - Paul Gepts
- grid.27860.3b0000 0004 1936 9684Section of Crop and Ecosystem Sciences, Department of Plant Sciences, University of California, Davis, 95616-8780 USA
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