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Hawliczek A, Borzęcka E, Tofil K, Alachiotis N, Bolibok L, Gawroński P, Siekmann D, Hackauf B, Dušinský R, Švec M, Bolibok-Brągoszewska H. Selective sweeps identification in distinct groups of cultivated rye (Secale cereale L.) germplasm provides potential candidate genes for crop improvement. BMC PLANT BIOLOGY 2023; 23:323. [PMID: 37328739 PMCID: PMC10273710 DOI: 10.1186/s12870-023-04337-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Accepted: 06/07/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND During domestication and subsequent improvement plants were subjected to intensive positive selection for desirable traits. Identification of selection targets is important with respect to the future targeted broadening of diversity in breeding programmes. Rye (Secale cereale L.) is a cereal that is closely related to wheat, and it is an important crop in Central, Eastern and Northern Europe. The aim of the study was (i) to identify diverse groups of rye accessions based on high-density, genome-wide analysis of genetic diversity within a set of 478 rye accessions, covering a full spectrum of diversity within the genus, from wild accessions to inbred lines used in hybrid breeding, and (ii) to identify selective sweeps in the established groups of cultivated rye germplasm and putative candidate genes targeted by selection. RESULTS Population structure and genetic diversity analyses based on high-quality SNP (DArTseq) markers revealed the presence of three complexes in the Secale genus: S. sylvestre, S. strictum and S. cereale/vavilovii, a relatively narrow diversity of S. sylvestre, very high diversity of S. strictum, and signatures of strong positive selection in S. vavilovii. Within cultivated ryes we detected the presence of genetic clusters and the influence of improvement status on the clustering. Rye landraces represent a reservoir of variation for breeding, and especially a distinct group of landraces from Turkey should be of special interest as a source of untapped variation. Selective sweep detection in cultivated accessions identified 133 outlier positions within 13 sweep regions and 170 putative candidate genes related, among others, to response to various environmental stimuli (such as pathogens, drought, cold), plant fertility and reproduction (pollen sperm cell differentiation, pollen maturation, pollen tube growth), and plant growth and biomass production. CONCLUSIONS Our study provides valuable information for efficient management of rye germplasm collections, which can help to ensure proper safeguarding of their genetic potential and provides numerous novel candidate genes targeted by selection in cultivated rye for further functional characterisation and allelic diversity studies.
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Affiliation(s)
- Anna Hawliczek
- Department of Plant Genetics, Breeding and Biotechnology, Institute of Biology, Warsaw, University of Life Sciences-SGGW, Warsaw, Poland
| | - Ewa Borzęcka
- Department of Plant Genetics, Breeding and Biotechnology, Institute of Biology, Warsaw, University of Life Sciences-SGGW, Warsaw, Poland
| | - Katarzyna Tofil
- Department of Plant Genetics, Breeding and Biotechnology, Institute of Biology, Warsaw, University of Life Sciences-SGGW, Warsaw, Poland
| | - Nikolaos Alachiotis
- Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands
| | - Leszek Bolibok
- Department of Silviculture, Institute of Forest Sciences, Warsaw University of Life Sciences-SGGW, Warsaw, Poland
| | - Piotr Gawroński
- Department of Plant Genetics, Breeding and Biotechnology, Institute of Biology, Warsaw, University of Life Sciences-SGGW, Warsaw, Poland
| | | | | | - Roman Dušinský
- Department of Botany, Faculty of Natural Sciences, Comenius University in Bratislava, Bratislava, Slovakia
| | - Miroslav Švec
- Department of Botany, Faculty of Natural Sciences, Comenius University in Bratislava, Bratislava, Slovakia
| | - Hanna Bolibok-Brągoszewska
- Department of Plant Genetics, Breeding and Biotechnology, Institute of Biology, Warsaw, University of Life Sciences-SGGW, Warsaw, Poland.
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2
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Regulator of Awn Elongation 3, an E3 ubiquitin ligase, is responsible for loss of awns during African rice domestication. Proc Natl Acad Sci U S A 2023; 120:e2207105120. [PMID: 36649409 PMCID: PMC9942864 DOI: 10.1073/pnas.2207105120] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Two species of rice have been independently domesticated from different ancestral wild species in Asia and Africa. Comparison of mutations that underlie phenotypic and physiological alterations associated with domestication traits in these species gives insights into the domestication history of rice in both regions. Asian cultivated rice, Oryza sativa, and African cultivated rice, Oryza glaberrima, have been modified and improved for common traits beneficial for humans, including erect plant architecture, nonshattering seeds, nonpigmented pericarp, and lack of awns. Independent mutations in orthologous genes associated with these traits have been documented in the two cultivated species. Contrary to this prevailing model, selection for awnlessness targeted different genes in O. sativa and O. glaberrima. We identify Regulator of Awn Elongation 3 (RAE3) a gene that encodes an E3 ubiquitin ligase and is responsible for the awnless phenotype only in O. glaberrima. A 48-bp deletion may disrupt the substrate recognition domain in RAE3 and diminish awn elongation. Sequencing analysis demonstrated low nucleotide diversity in a ~600-kb region around the derived rae3 allele on chromosome 6 in O. glaberrima compared with its wild progenitor. Identification of RAE3 sheds light on the molecular mechanism underlying awn development and provides an example of how selection on different genes can confer the same domestication phenotype in Asian and African rice.
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Ye J, Zhang M, Yuan X, Hu D, Zhang Y, Xu S, Li Z, Li R, Liu J, Sun Y, Wang S, Feng Y, Xu Q, Yang Y, Wei X. Genomic insight into genetic changes and shaping of major inbred rice cultivars in China. THE NEW PHYTOLOGIST 2022; 236:2311-2326. [PMID: 36114658 DOI: 10.1111/nph.18500] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 08/25/2022] [Indexed: 05/28/2023]
Abstract
The annual planting area of major inbred rice (Oryza sativa) cultivars reach more than half of the total annual planting area of inbred rice cultivars in China. However, how the major inbred rice cultivars changed during decades of genetic improvement and why they can be prevalently cultivated in China remains unclear. Here, we investigated the underlying genetic changes of major inbred cultivars and the contributions of landraces and introduced cultivars during the improvement by resequencing a collection of 439 rice accessions including major inbred cultivars, landraces, and introduced cultivars. The results showed that landraces were the main genetic contribution sources of major inbred Xian (Indica) cultivars, while introduced cultivars were that of major inbred Geng (Japonica) cultivars. Selection scans and haplotype frequency analysis shed light on the reflections of some well-known genes in rice improvement, and breeders had different preferences for the Xian's and Geng's breeding. Six candidate regions associated with agronomic traits were identified by genome-wide association mapping, five of which were under positive selection in rice improvement. Our study provides a comprehensive insight into the development of major inbred rice cultivars and lays the foundation for genomics-based breeding in rice.
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Affiliation(s)
- Junhua Ye
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
| | - Mengchen Zhang
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
| | - Xiaoping Yuan
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
| | - Dongxiu Hu
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
| | - Yuanyuan Zhang
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
| | - Siliang Xu
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
| | - Zhen Li
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
| | - Ruosi Li
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
| | - Junrong Liu
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
| | - Yanfei Sun
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
| | - Shan Wang
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
| | - Yue Feng
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
| | - Qun Xu
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
| | - Yaolong Yang
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
| | - Xinghua Wei
- China National Center for Rice Improvement/State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou, 310006, China
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4
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Wambugu PW, Henry R. Supporting in situ conservation of the genetic diversity of crop wild relatives using genomic technologies. Mol Ecol 2022; 31:2207-2222. [PMID: 35170117 PMCID: PMC9303585 DOI: 10.1111/mec.16402] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 02/08/2022] [Accepted: 02/11/2022] [Indexed: 11/27/2022]
Abstract
The last decade has witnessed huge technological advances in genomics, particularly in DNA sequencing. Here, we review the actual and potential application of genomics in supporting in situ conservation of crop wild relatives (CWRs). In addition to helping in prioritization of protection of CWR taxa and in situ conservation sites, genome analysis is allowing the identification of novel alleles that need to be prioritized for conservation. Genomics is enabling the identification of potential sources of important adaptive traits that can guide the establishment or enrichment of in situ genetic reserves. Genomic tools also have the potential for developing a robust framework for monitoring and reporting genome‐based indicators of genetic diversity changes associated with factors such as land use or climate change. These tools have been demonstrated to have an important role in managing the conservation of populations, supporting sustainable access and utilization of CWR diversity, enhancing accelerated domestication of new crops and forensic genomics thus preventing misappropriation of genetic resources. Despite this great potential, many policy makers and conservation managers have failed to recognize and appreciate the need to accelerate the application of genomics to support the conservation and management of biodiversity in CWRs to underpin global food security. Funding and inadequate genomic expertise among conservation practitioners also remain major hindrances to the widespread application of genomics in conservation.
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Affiliation(s)
- Peterson W Wambugu
- Kenya Agricultural and Livestock Research Organization, Genetic Resources Research Institute, P.O. Box 30148, 00100, Nairobi, Kenya
| | - Robert Henry
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, QLD, 4072, Australia.,ARC Centre of Excellence for Plant Success in Nature and Agriculture, University of Queensland, Brisbane, QLD, 4072, Australia
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5
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Semagn K, Iqbal M, Alachiotis N, N'Diaye A, Pozniak C, Spaner D. Genetic diversity and selective sweeps in historical and modern Canadian spring wheat cultivars using the 90K SNP array. Sci Rep 2021; 11:23773. [PMID: 34893626 PMCID: PMC8664822 DOI: 10.1038/s41598-021-02666-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 11/22/2021] [Indexed: 12/14/2022] Open
Abstract
Previous molecular characterization studies conducted in Canadian wheat cultivars shed some light on the impact of plant breeding on genetic diversity, but the number of varieties and markers used was small. Here, we used 28,798 markers of the wheat 90K single nucleotide polymorphisms to (a) assess the extent of genetic diversity, relationship, population structure, and divergence among 174 historical and modern Canadian spring wheat varieties registered from 1905 to 2018 and 22 unregistered lines (hereinafter referred to as cultivars), and (b) identify genomic regions that had undergone selection. About 91% of the pairs of cultivars differed by 20-40% of the scored alleles, but only 7% of the pairs had kinship coefficients of < 0.250, suggesting the presence of a high proportion of redundancy in allelic composition. Although the 196 cultivars represented eight wheat classes, our results from phylogenetic, principal component, and the model-based population structure analyses revealed three groups, with no clear structure among most wheat classes, breeding programs, and breeding periods. FST statistics computed among different categorical variables showed little genetic differentiation (< 0.05) among breeding periods and breeding programs, but a diverse level of genetic differentiation among wheat classes and predicted groups. Diversity indices were the highest and lowest among cultivars registered from 1970 to 1980 and from 2011 to 2018, respectively. Using two outlier detection methods, we identified from 524 to 2314 SNPs and 41 selective sweeps of which some are close to genes with known phenotype, including plant height, photoperiodism, vernalization, gluten strength, and disease resistance.
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Affiliation(s)
- Kassa Semagn
- Department of Agricultural, Food, and Nutritional Science, 4-10 Agriculture-Forestry Centre, University of Alberta, Edmonton, AB, T6G 2P5, Canada.
| | - Muhammad Iqbal
- Department of Agricultural, Food, and Nutritional Science, 4-10 Agriculture-Forestry Centre, University of Alberta, Edmonton, AB, T6G 2P5, Canada
| | - Nikolaos Alachiotis
- Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, 3230, Enschede, OV, The Netherlands
| | - Amidou N'Diaye
- Crop Development Centre and Department of Plant Sciences, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK, S7N 5A8, Canada
| | - Curtis Pozniak
- Crop Development Centre and Department of Plant Sciences, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK, S7N 5A8, Canada
| | - Dean Spaner
- Department of Agricultural, Food, and Nutritional Science, 4-10 Agriculture-Forestry Centre, University of Alberta, Edmonton, AB, T6G 2P5, Canada.
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6
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Wambugu PW, Ndjiondjop MN, Henry R. Genetics and Genomics of African Rice (Oryza glaberrima Steud) Domestication. RICE (NEW YORK, N.Y.) 2021; 14:6. [PMID: 33415579 PMCID: PMC7790969 DOI: 10.1186/s12284-020-00449-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Accepted: 12/17/2020] [Indexed: 06/12/2023]
Abstract
African rice (Oryza glaberrima Steud) is one of the two independently domesticated rice species, the other one being Asian rice (Oryza sativa L.). Despite major progress being made in understanding the evolutionary and domestication history of African rice, key outstanding issues remain controversial. There appears to be an underlying difficulty in identifying the domestication centre and number of times the crop has been domesticated. Advances in genomics have provided unprecedented opportunities for understanding the genetic architecture of domestication related traits. For most of the domestication traits, the underlying genes and mutations have been identified. Comparative analysis of domestication genes between Asian and African rice has revealed that the two species went through an independent but convergent evolution process. The genetic and developmental basis of some of the domestic traits are conserved not only between Asian and African rice but also with other domesticated crop species. Analysis of genome data and its interpretation is emerging as a major challenge facing studies of domestication in African rice as key studies continue giving contradictory findings and conclusions. Insights obtained on the domestication of this species are vital for guiding crop improvement efforts.
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Affiliation(s)
- Peterson W. Wambugu
- Kenya Agricultural and Livestock Research Organization, Genetic Resources Research Institute, P.O. Box 30148, Nairobi, 00100 Kenya
| | - Marie-Noelle Ndjiondjop
- M’bé Research Station, Africa Rice Center (AfricaRice), 01 B.P. 2551 Bouaké 01, Côte d’Ivoire
| | - Robert Henry
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, QLD 4072 Australia
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7
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Saleem A, Muylle H, Aper J, Ruttink T, Wang J, Yu D, Roldán-Ruiz I. A Genome-Wide Genetic Diversity Scan Reveals Multiple Signatures of Selection in a European Soybean Collection Compared to Chinese Collections of Wild and Cultivated Soybean Accessions. FRONTIERS IN PLANT SCIENCE 2021; 12:631767. [PMID: 33732276 PMCID: PMC7959735 DOI: 10.3389/fpls.2021.631767] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 02/01/2021] [Indexed: 05/03/2023]
Abstract
Targeted and untargeted selections including domestication and breeding efforts can reduce genetic diversity in breeding germplasm and create selective sweeps in crop genomes. The genomic regions at which selective sweeps are detected can reveal important information about signatures of selection. We have analyzed the genetic diversity within a soybean germplasm collection relevant for breeding in Europe (the EUCLEG collection), and have identified selective sweeps through a genome-wide scan comparing that collection to Chinese soybean collections. This work involved genotyping of 480 EUCLEG soybean accessions, including 210 improved varieties, 216 breeding lines and 54 landraces using the 355K SoySNP microarray. SNP calling of 477 EUCLEG accessions together with 328 Chinese soybean accessions identified 224,993 high-quality SNP markers. Population structure analysis revealed a clear differentiation between the EUCLEG collection and the Chinese materials. Further, the EUCLEG collection was sub-structured into five subgroups that were differentiated by geographical origin. No clear association between subgroups and maturity group was detected. The genetic diversity was lower in the EUCLEG collection compared to the Chinese collections. Selective sweep analysis revealed 23 selective sweep regions distributed over 12 chromosomes. Co-localization of these selective sweep regions with previously reported QTLs and genes revealed that various signatures of selection in the EUCLEG collection may be related to domestication and improvement traits including seed protein and oil content, phenology, nitrogen fixation, yield components, diseases resistance and quality. No signatures of selection related to stem determinacy were detected. In addition, absence of signatures of selection for a substantial number of QTLs related to yield, protein content, oil content and phenological traits suggests the presence of substantial genetic diversity in the EUCLEG collection. Taken together, the results obtained demonstrate that the available genetic diversity in the EUCLEG collection can be further exploited for research and breeding purposes. However, incorporation of exotic material can be considered to broaden its genetic base.
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Affiliation(s)
- Aamir Saleem
- Plant Sciences Unit, Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Melle, Belgium
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
| | - Hilde Muylle
- Plant Sciences Unit, Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Melle, Belgium
| | - Jonas Aper
- Plant Sciences Unit, Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Melle, Belgium
| | - Tom Ruttink
- Plant Sciences Unit, Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Melle, Belgium
| | - Jiao Wang
- National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Deyue Yu
- National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Isabel Roldán-Ruiz
- Plant Sciences Unit, Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Melle, Belgium
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium
- *Correspondence: Isabel Roldán-Ruiz,
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8
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Comparisons of sampling methods for assessing intra- and inter-accession genetic diversity in three rice species using genotyping by sequencing. Sci Rep 2020; 10:13995. [PMID: 32814806 PMCID: PMC7438528 DOI: 10.1038/s41598-020-70842-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Accepted: 07/27/2020] [Indexed: 11/09/2022] Open
Abstract
To minimize the cost of sample preparation and genotyping, most genebank genomics studies in self-pollinating species are conducted on a single individual to represent an accession, which may be heterogeneous with larger than expected intra-accession genetic variation. Here, we compared various population genetics parameters among six DNA (leaf) sampling methods on 90 accessions representing a wild species (O. barthii), cultivated and landraces (O. glaberrima, O. sativa), and improved varieties derived through interspecific hybridizations. A total of 1,527 DNA samples were genotyped with 46,818 polymorphic single nucleotide polymorphisms (SNPs) using DArTseq. Various statistical analyses were performed on eleven datasets corresponding to 5 plants per accession individually and in a bulk (two sets), 10 plants individually and in a bulk (two sets), all 15 plants individually (one set), and a randomly sampled individual repeated six times (six sets). Overall, we arrived at broadly similar conclusions across 11 datasets in terms of SNP polymorphism, heterozygosity/heterogeneity, diversity indices, concordance among genetic dissimilarity matrices, population structure, and genetic differentiation; there were, however, a few discrepancies between some pairs of datasets. Detailed results of each sampling method, the concordance in their outputs, and the technical and cost implications of each method were discussed.
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9
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Barrera-Redondo J, Piñero D, Eguiarte LE. Genomic, Transcriptomic and Epigenomic Tools to Study the Domestication of Plants and Animals: A Field Guide for Beginners. Front Genet 2020; 11:742. [PMID: 32760427 PMCID: PMC7373799 DOI: 10.3389/fgene.2020.00742] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Accepted: 06/22/2020] [Indexed: 01/07/2023] Open
Abstract
In the last decade, genomics and the related fields of transcriptomics and epigenomics have revolutionized the study of the domestication process in plants and animals, leading to new discoveries and new unresolved questions. Given that some domesticated taxa have been more studied than others, the extent of genomic data can range from vast to nonexistent, depending on the domesticated taxon of interest. This review is meant as a rough guide for students and academics that want to start a domestication research project using modern genomic tools, as well as for researchers already conducting domestication studies that are interested in following a genomic approach and looking for alternate strategies (cheaper or more efficient) and future directions. We summarize the theoretical and technical background needed to carry out domestication genomics, starting from the acquisition of a reference genome and genome assembly, to the sampling design for population genomics, paleogenomics, transcriptomics, epigenomics and experimental validation of domestication-related genes. We also describe some examples of the aforementioned approaches and the relevant discoveries they made to understand the domestication of the studied taxa.
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Affiliation(s)
| | | | - Luis E. Eguiarte
- Departamento de Ecología Evolutiva, Instituto de Ecología, Universidad Nacional Autónoma de México, Mexico City, Mexico
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10
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Guo X, Wang J, Ma C, Wang Z, Chen H, Su H, Wan Y, Jiang R. Genome-wide re-sequencing and transcriptome analysis reveal candidate genes associated with the pendulous comb phenotype in domestic chickens. Anim Sci J 2019; 91:e13308. [PMID: 31808219 DOI: 10.1111/asj.13308] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2019] [Revised: 09/21/2019] [Accepted: 10/17/2019] [Indexed: 12/25/2022]
Abstract
To determine the causative variations associated with two chicken comb phenotypes, pendulous comb (PC) or upright comb (UC), two pooled genomic DNA samples from PC and UC chickens were re-sequenced by Next-Generation Sequencer, and genome-wide Single nucleotide polymorphisms (SNPs) were detected. Using three selective sweep approaches, FST , θπ, and Tajima's D, with top 5% window values serving as the threshold, a total of 84 positively selective genes (PSGs) were identified. There were no SNPs in exons of the PSGs with significant differences in allele frequencies between the two comb phenotype groups. Then, 515 differentially expressed genes (DEGs) between the PC and UC were identified by RNA-seq. Three genes including CD36 (CD36 molecule), ADAMTSL3 (ADAMTS-like 3), and AOX1 (aldehyde oxidases 1) are overlapped between PSGs and DEGs. After genotyping seven candidate SNPs in the regulatory regions of the three overlapping genes in 120 chickens from two other breeds, two variants (rs14607046 and rs731818051) in the regulatory regions of AOX1 and ADAMTSL3 were found to have significant differences in allele frequency between the PC and UC, suggesting that the two variants may be causative mutations for PC. Overall, our study shed light on the genetic basis underlying the PC phenotype in chickens.
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Affiliation(s)
- Xing Guo
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
| | - Jiangxian Wang
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
| | - Chendong Ma
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
| | - Zhicheng Wang
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
| | - Hong Chen
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
| | - Hu Su
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
| | - Yi Wan
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
| | - Runshen Jiang
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, China
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11
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Wegary D, Teklewold A, Prasanna BM, Ertiro BT, Alachiotis N, Negera D, Awas G, Abakemal D, Ogugo V, Gowda M, Semagn K. Molecular diversity and selective sweeps in maize inbred lines adapted to African highlands. Sci Rep 2019; 9:13490. [PMID: 31530852 PMCID: PMC6748982 DOI: 10.1038/s41598-019-49861-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Accepted: 08/28/2019] [Indexed: 11/08/2022] Open
Abstract
Little is known on maize germplasm adapted to the African highland agro-ecologies. In this study, we analyzed high-density genotyping by sequencing (GBS) data of 298 African highland adapted maize inbred lines to (i) assess the extent of genetic purity, genetic relatedness, and population structure, and (ii) identify genomic regions that have undergone selection (selective sweeps) in response to adaptation to highland environments. Nearly 91% of the pairs of inbred lines differed by 30-36% of the scored alleles, but only 32% of the pairs of the inbred lines had relative kinship coefficient <0.050, which suggests the presence of substantial redundancy in allelic composition that may be due to repeated use of fewer genetic backgrounds (source germplasm) during line development. Results from different genetic relatedness and population structure analyses revealed three different groups, which generally agrees with pedigree information and breeding history, but less so by heterotic groups and endosperm modification. We identified 944 single nucleotide polymorphic (SNP) markers that fell within 22 selective sweeps that harbored 265 protein-coding candidate genes of which some of the candidate genes had known functions. Details of the candidate genes with known functions and differences in nucleotide diversity among groups predicted based on multivariate methods have been discussed.
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Affiliation(s)
- Dagne Wegary
- International Maize and Wheat Improvement Center (CIMMYT) - Ethiopia Office, ILRI Campus, CMC Road, Gurd Sholla, P.O. Box 5689, Addis Ababa, Ethiopia
| | - Adefris Teklewold
- International Maize and Wheat Improvement Center (CIMMYT) - Ethiopia Office, ILRI Campus, CMC Road, Gurd Sholla, P.O. Box 5689, Addis Ababa, Ethiopia.
| | - Boddupalli M Prasanna
- International Maize and Wheat Improvement Center (CIMMYT), ICRAF House, United Nations Avenue, Gigiri, P.O. Box 1041-00621, Nairobi, Kenya
| | - Berhanu T Ertiro
- Bako National Maize Research Center, Ethiopian Institute of Agricultural Research (EIAR), Addis Ababa, Ethiopia
| | - Nikolaos Alachiotis
- Institute of Computer Science, Foundation for Research and Technology-Hellas, Nikolaou Plastira 100, 70013, Heraklion, Crete, Greece
| | - Demewez Negera
- International Maize and Wheat Improvement Center (CIMMYT) - Ethiopia Office, ILRI Campus, CMC Road, Gurd Sholla, P.O. Box 5689, Addis Ababa, Ethiopia
| | - Geremew Awas
- International Maize and Wheat Improvement Center (CIMMYT) - Ethiopia Office, ILRI Campus, CMC Road, Gurd Sholla, P.O. Box 5689, Addis Ababa, Ethiopia
| | - Demissew Abakemal
- Ambo Agricultural Research Center, P.O. Box 37, West Shoa, Ambo, Ethiopia
| | - Veronica Ogugo
- International Maize and Wheat Improvement Center (CIMMYT), ICRAF House, United Nations Avenue, Gigiri, P.O. Box 1041-00621, Nairobi, Kenya
| | - Manje Gowda
- International Maize and Wheat Improvement Center (CIMMYT), ICRAF House, United Nations Avenue, Gigiri, P.O. Box 1041-00621, Nairobi, Kenya
| | - Kassa Semagn
- International Maize and Wheat Improvement Center (CIMMYT), ICRAF House, United Nations Avenue, Gigiri, P.O. Box 1041-00621, Nairobi, Kenya.
- Africa Rice Center (AfricaRice), M'bé Research Station, 01 B.P. 2551, Bouaké 01, Côte d'Ivoire.
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