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Kobrlová L, Čížková J, Zoulová V, Vejvodová K, Hřibová E. First insight into the genomes of the Pulmonaria officinalis group (Boraginaceae) provided by repeatome analysis and comparative karyotyping. BMC PLANT BIOLOGY 2024; 24:859. [PMID: 39266954 DOI: 10.1186/s12870-024-05497-4] [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: 03/22/2024] [Accepted: 08/07/2024] [Indexed: 09/14/2024]
Abstract
BACKGROUND The genus Pulmonaria (Boraginaceae) represents a taxonomically complex group of species in which morphological similarity contrasts with striking karyological variation. The presence of different numbers of chromosomes in the diploid state suggests multiple hybridization/polyploidization events followed by chromosome rearrangements (dysploidy). Unfortunately, the phylogenetic relationships and evolution of the genome, have not yet been elucidated. Our study focused on the P. officinalis group, the most widespread species complex, which includes two morphologically similar species that differ in chromosome number, i.e. P. obscura (2n = 14) and P. officinalis (2n = 16). Ornamental cultivars, morphologically similar to P. officinalis (garden escapes), whose origin is unclear, were also studied. Here, we present a pilot study on genome size and repeatome dynamics of these closely related species in order to gain new information on their genome and chromosome structure. RESULTS Flow cytometry confirmed a significant difference in genome size between P. obscura and P. officinalis, corresponding to the number of chromosomes. Genome-wide repeatome analysis performed on genome skimming data showed that retrotransposons were the most abundant repeat type, with a higher proportion of Ty3/Gypsy elements, mainly represented by the Tekay lineage. Comparative analysis revealed no species-specific retrotransposons or striking differences in their copy number between the species. A new set of chromosome-specific cytogenetic markers, represented by satellite DNAs, showed that the chromosome structure in P. officinalis was more variable compared to that of P. obscura. Comparative karyotyping supported the hybrid origin of putative hybrids with 2n = 15 collected from a mixed population of both species and outlined the origin of ornamental garden escapes, presumably derived from the P. officinalis complex. CONCLUSIONS Large-scale genome size analysis and repeatome characterization of the two morphologically similar species of the P. officinalis group improved our knowledge of the genome dynamics and differences in the karyotype structure. A new set of chromosome-specific cytogenetic landmarks was identified and used to reveal the origin of putative hybrids and ornamental cultivars morphologically similar to P. officinalis.
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Affiliation(s)
- Lucie Kobrlová
- Department of Botany, Faculty of Science, Palacký University, Olomouc, Czech Republic
| | - Jana Čížková
- Institute of Experimental Botany of the Czech Academy of Sciences, Centre of Plant Structural and Functional Genomics, Olomouc, Czech Republic
| | - Veronika Zoulová
- Institute of Experimental Botany of the Czech Academy of Sciences, Centre of Plant Structural and Functional Genomics, Olomouc, Czech Republic
- Department of Cell Biology and Genetics, Faculty of Science, Palacký University, Olomouc, Czech Republic
| | - Kateřina Vejvodová
- Department of Botany, Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic
| | - Eva Hřibová
- Institute of Experimental Botany of the Czech Academy of Sciences, Centre of Plant Structural and Functional Genomics, Olomouc, Czech Republic.
- Department of Cell Biology and Genetics, Faculty of Science, Palacký University, Olomouc, Czech Republic.
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Fiesel PD, Kerwin RE, Daniel Jones A, Last RL. Trading acyls and swapping sugars: metabolic innovations in Solanum trichomes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.06.05.542877. [PMID: 37333341 PMCID: PMC10274652 DOI: 10.1101/2023.06.05.542877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Solanaceae (nightshade family) species synthesize a remarkable array of clade- and tissue-specific specialized metabolites. Protective acylsugars, one such class of structurally diverse metabolites, are produced by AcylSugar AcylTransferases from sugars and acyl-coenzyme A esters. Published research revealed trichome acylsugars composed of glucose and sucrose cores in species across the family. In addition, acylsugars were analyzed across a small fraction of the >1200 species in the phenotypically megadiverse Solanum genus, with a handful containing inositol and glycosylated inositol cores. The current study sampled several dozen species across subclades of the Solanum to get a more detailed view of acylsugar chemodiversity. In depth characterization of acylsugars from the Clade II species Solanum melongena (brinjal eggplant) led to the identification of eight unusual structures with inositol or inositol glycoside cores, and hydroxyacyl chains. Liquid chromatography-mass spectrometry analysis of 31 additional species in the Solanum genus revealed striking acylsugar diversity with some traits restricted to specific clades and species. Acylinositols and inositol-based acyldisaccharides were detected throughout much of the genus. In contrast, acylglucoses and acylsucroses were more restricted in distribution. Analysis of tissue-specific transcriptomes and interspecific acylsugar acetylation differences led to the identification of the S. melongena AcylSugar AcylTransferase 3-Like 1 (SmASAT3-L1; SMEL4.1_12g015780) enzyme. This enzyme is distinct from previously characterized acylsugar acetyltransferases, which are in the ASAT4 clade, and appears to be a functionally divergent ASAT3. This study provides a foundation for investigating the evolution and function of diverse Solanum acylsugar structures and harnessing this diversity in breeding and synthetic biology.
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Affiliation(s)
- Paul D. Fiesel
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48823 USA
| | - Rachel E. Kerwin
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48823 USA
| | - A. Daniel Jones
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48823 USA
| | - Robert L. Last
- Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48823 USA
- Department of Plant Biology, Michigan State University, East Lansing, MI 48823 USA
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Opoku VA, Adu MO, Asare PA, Asante J, Hygienus G, Andersen MN. Rapid and low-cost screening for single and combined effects of drought and heat stress on the morpho-physiological traits of African eggplant (Solanum aethiopicum) germplasm. PLoS One 2024; 19:e0295512. [PMID: 38289974 PMCID: PMC10826938 DOI: 10.1371/journal.pone.0295512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 11/24/2023] [Indexed: 02/01/2024] Open
Abstract
Drought and heat are two stresses that often occur together and may pose significant risks to crops in future climates. However, the combined effects of these two stressors have received less attention than single-stressor investigations. This study used a rapid and straightforward phenotyping method to quantify the variation in 128 African eggplant genotype responses to drought, heat, and the combined effects of heat and drought at the seedling stage. The study found that the morphophysiological traits varied significantly among the 128 eggplants, highlighting variation in response to abiotic stresses. Broad-sense heritability was high (> 0.60) for chlorophyll content, plant biomass and performance index, electrolyte leakage, and total leaf area. Positive and significant relationships existed between biomass and photosynthetic parameters, but a negative association existed between electrolyte leakage and morpho-physiological traits. The plants underwent more significant stress when drought and heat stress were imposed concurrently than under single stresses, with the impact of drought on the plants being more detrimental than heat. There were antagonistic effects on the morphophysiology of the eggplants when heat and drought stress were applied together. Resilient genotypes such as RV100503, RV100501, JAMBA, LOC3, RV100164, RV100169, LOC 3, RV100483, GH5155, RV100430, GH1087, GH1087*, RV100388, RV100387, RV100391 maintained high relative water content, low electrolyte leakage, high Fv/Fm ratio and performance index, and increased biomass production under abiotic stress conditions. The antagonistic interactions between heat and drought observed here may be retained or enhanced during several stress combinations typical of plants' environments and must be factored into efforts to develop climate change-resilient crops. This paper demonstrates improvised climate chambers for high throughput, reliable, rapid, and cost-effective screening for heat and drought and combined stress tolerance in plants.
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Affiliation(s)
- Vincent A. Opoku
- Department of Crop Science, School of Agriculture, College of Agriculture and Natural Sciences, University of Cape Coast, Cape Coast, Ghana
| | - Michael O. Adu
- Department of Crop Science, School of Agriculture, College of Agriculture and Natural Sciences, University of Cape Coast, Cape Coast, Ghana
| | - Paul A. Asare
- Department of Crop Science, School of Agriculture, College of Agriculture and Natural Sciences, University of Cape Coast, Cape Coast, Ghana
| | - Justice Asante
- Department of Crop Science, School of Agriculture, College of Agriculture and Natural Sciences, University of Cape Coast, Cape Coast, Ghana
| | - Godswill Hygienus
- Department of Crop Science, School of Agriculture, College of Agriculture and Natural Sciences, University of Cape Coast, Cape Coast, Ghana
| | - Mathias N. Andersen
- Department of Agroecology, Faculty of Technical Sciences, Aarhus University, Tjele, Denmark
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4
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Wu Y, Li D, Hu Y, Li H, Ramstein GP, Zhou S, Zhang X, Bao Z, Zhang Y, Song B, Zhou Y, Zhou Y, Gagnon E, Särkinen T, Knapp S, Zhang C, Städler T, Buckler ES, Huang S. Phylogenomic discovery of deleterious mutations facilitates hybrid potato breeding. Cell 2023; 186:2313-2328.e15. [PMID: 37146612 DOI: 10.1016/j.cell.2023.04.008] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 02/20/2023] [Accepted: 04/05/2023] [Indexed: 05/07/2023]
Abstract
Hybrid potato breeding will transform the crop from a clonally propagated tetraploid to a seed-reproducing diploid. Historical accumulation of deleterious mutations in potato genomes has hindered the development of elite inbred lines and hybrids. Utilizing a whole-genome phylogeny of 92 Solanaceae and its sister clade species, we employ an evolutionary strategy to identify deleterious mutations. The deep phylogeny reveals the genome-wide landscape of highly constrained sites, comprising ∼2.4% of the genome. Based on a diploid potato diversity panel, we infer 367,499 deleterious variants, of which 50% occur at non-coding and 15% at synonymous sites. Counterintuitively, diploid lines with relatively high homozygous deleterious burden can be better starting material for inbred-line development, despite showing less vigorous growth. Inclusion of inferred deleterious mutations increases genomic-prediction accuracy for yield by 24.7%. Our study generates insights into the genome-wide incidence and properties of deleterious mutations and their far-reaching consequences for breeding.
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Affiliation(s)
- Yaoyao Wu
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China; Institute for Genomic Diversity, Cornell University, Ithaca, NY 14853, USA
| | - Dawei Li
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China; State Key Laboratory of Tropical Crop Breeding, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan 571101, China
| | - Yong Hu
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China; The AGISCAAS-YNNU Joint Academy of Potato Sciences, Yunnan Normal University, Kunming, Yunnan 650500, China
| | - Hongbo Li
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China
| | - Guillaume P Ramstein
- Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus 8000, Denmark
| | - Shaoqun Zhou
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China
| | - Xinyan Zhang
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China
| | - Zhigui Bao
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China; Department of Molecular Biology, Max Planck Institute for Biology Tübingen, 72076 Tübingen, Germany
| | - Yu Zhang
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China; School of Agriculture, Sun Yat-sen University, Shenzhen, Guangdong 518107, China
| | - Baoxing Song
- Peking University Institute of Advanced Agricultural Sciences, Weifang, Shandong 261000, China
| | - Yao Zhou
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China; Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100094, China
| | - Yongfeng Zhou
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China
| | - Edeline Gagnon
- Technische Universität München, TUM School of Life Sciences, Emil-Ramann-Strasse 2, 85354 Freising, Germany
| | - Tiina Särkinen
- Royal Botanic Garden Edinburgh, 20A Inverleith Row, Edinburgh EH3 5LR, UK
| | - Sandra Knapp
- Natural History Museum, Cromwell Road, London SW7 5BD, UK
| | - Chunzhi Zhang
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China
| | - Thomas Städler
- Institute of Integrative Biology and Zurich-Basel Plant Science Center, ETH Zurich, 8092 Zurich, Switzerland
| | - Edward S Buckler
- Institute for Genomic Diversity, Cornell University, Ithaca, NY 14853, USA; USDA-ARS, Ithaca, NY 14853, USA
| | - Sanwen Huang
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China; State Key Laboratory of Tropical Crop Breeding, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan 571101, China.
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5
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Kumar B, Singh AK, Bahuguna RN, Pareek A, Singla‐Pareek SL. Orphan crops: A genetic treasure trove for hunting stress tolerance genes. Food Energy Secur 2022. [DOI: 10.1002/fes3.436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Affiliation(s)
- Brijesh Kumar
- Plant Stress Biology Group International Centre for Genetic Engineering and Biotechnology New Delhi India
| | - Anil Kumar Singh
- ICAR‐National Institute for Plant Biotechnology LBS Centre New Delhi India
| | - Rajeev Nayan Bahuguna
- Center for Advanced Studies on Climate Change Dr. Rajendra Prasad Central Agricultural University Bihar Pusa, Samastipur India
| | - Ashwani Pareek
- Stress Physiology and Molecular Biology Laboratory, School of Life Sciences Jawaharlal Nehru University New Delhi India
| | - Sneh L. Singla‐Pareek
- Plant Stress Biology Group International Centre for Genetic Engineering and Biotechnology New Delhi India
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6
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Tassone MR, Bagnaresi P, Desiderio F, Bassolino L, Barchi L, Florio FE, Sunseri F, Sirangelo TM, Rotino GL, Toppino L. A Genomic BSAseq Approach for the Characterization of QTLs Underlying Resistance to Fusarium oxysporum in Eggplant. Cells 2022; 11:2548. [PMID: 36010625 PMCID: PMC9406753 DOI: 10.3390/cells11162548] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 08/12/2022] [Accepted: 08/12/2022] [Indexed: 11/17/2022] Open
Abstract
Eggplant (Solanum melongena L.), similar to many other crops, suffers from soil-borne diseases, including Fusarium oxysporum f. sp. melongenae (Fom), causing wilting and heavy yield loss. To date, the genetic factors underlying plant responses to Fom are not well known. We previously developed a Recombinant Inbred Lines (RILs) population using as a female parent the fully resistant line '305E40' and as a male parent the partially resistant line '67/3'. The fully resistant trait to Fom was introgressed from the allied species S. aethiopicum. In this work, the RIL population was assessed for the responses to Fom and by using a genomic mapping approach, two major QTLs on chromosomes CH02 and CH11 were identified, associated with the full and partial resistance trait to Fom, respectively. A targeted BSAseq procedure in which Illumina reads bulks of RILs grouped according to their resistance score was aligned to the appropriate reference genomes highlighted differentially enriched regions between resistant/susceptible progeny in the genomic regions underlying both QTLs. The characterization of such regions allowed us to identify the most reliable candidate genes for the two resistance traits. With the aim of revealing exclusive species-specific contigs and scaffolds inherited from the allied species and thus associated with the full resistance trait, a draft de-novo assembly of available Illumina sequences of the '305E40' parent was developed to better resolve the non-recombining genomic region on its CH02 carrying the introgressed Fom resistance locus from S. aethiopicum.
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Affiliation(s)
- Maria Rosaria Tassone
- Council for Agricultural Research and Economics, Genomics and Bioinformatics Research Center, 26836 Montanaso Lombardo, Italy
- Department of Agricultural Science, University Mediterranea of Reggio Calabria, 89124 Reggio Calabria, Italy
| | - Paolo Bagnaresi
- Council for Agricultural Research and Economics, Genomics and Bioinformatics Research Center, 29017 Fiorenzuola d’Arda, Italy
| | - Francesca Desiderio
- Council for Agricultural Research and Economics, Genomics and Bioinformatics Research Center, 29017 Fiorenzuola d’Arda, Italy
| | - Laura Bassolino
- Council for Agricultural Research and Economics, Genomics and Bioinformatics Research Center, 26836 Montanaso Lombardo, Italy
- Council for Agricultural Research and Economics, Cereal and Industrial Crops Research Center, 40128 Bologna, Italy
| | - Lorenzo Barchi
- DISAFA, Plant Genetics and Breeding, University of Turin, 10095 Grugliasco, Italy
| | - Francesco Elia Florio
- Council for Agricultural Research and Economics, Genomics and Bioinformatics Research Center, 26836 Montanaso Lombardo, Italy
| | - Francesco Sunseri
- Department of Agricultural Science, University Mediterranea of Reggio Calabria, 89124 Reggio Calabria, Italy
| | - Tiziana Maria Sirangelo
- Council for Agricultural Research and Economics, Genomics and Bioinformatics Research Center, 26836 Montanaso Lombardo, Italy
| | - Giuseppe Leonardo Rotino
- Council for Agricultural Research and Economics, Genomics and Bioinformatics Research Center, 26836 Montanaso Lombardo, Italy
| | - Laura Toppino
- Council for Agricultural Research and Economics, Genomics and Bioinformatics Research Center, 26836 Montanaso Lombardo, Italy
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7
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Favero BT, Tan Y, Chen X, Müller R, Lütken H. Kalanchoë blossfeldiana naturally transformed with Rhizobium rhizogenes exhibits superior root phenotype. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2022; 321:111323. [PMID: 35696923 DOI: 10.1016/j.plantsci.2022.111323] [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: 09/26/2021] [Revised: 03/04/2022] [Accepted: 05/11/2022] [Indexed: 06/15/2023]
Abstract
Plant transformation with root oncogenic loci (rol) genes and open reading frames (ORFs) from Rhizobium rhizogenes have not yet targeted the underground root phenotype of these transformants. Hence, there is a need to develop plants with more efficient root system architecture (RSA). Here, RSA was assessed in naturally transformed (NT) and single rol/ORF Kalanchoë blossfeldiana 'Molly' lines in an aeroponic growth system combined with gene expression analysis. Three NT lines; 306, 324 and 331; exhibited better-developed RSA with longer roots and increased root biomass. In line 306, longest root was 6.3 ± 0.3 cm while WT had 4.8 ± 0.1 cm. However, root length of all overexpressing lines was ca. 30% shorter than WT. Root fresh weight of NT lines was 4.5-fold higher than WT. The expression of rolB, ∆ORF13a and ORF14 in the leaves of overexpressing lines was many folds higher than in NT lines. Increased expression of ∆ORF13a and ORF14 in leaves and roots may contribute more to a stronger compact phenotype than previously assumed. The moderate compact phenotype of NT lines combined with improved RSA compared to the overexpressing lines and WT strongly indicate that the use of R. rhizogenes has great potential to produce Kalanchoë phenotypes with enhanced RSA.
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Affiliation(s)
- Bruno Trevenzoli Favero
- Section for Crop Sciences, Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, Højbakkegård Allé 13, 2630 Tåstrup, Denmark.
| | - Yi Tan
- Section for Crop Sciences, Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, Højbakkegård Allé 13, 2630 Tåstrup, Denmark
| | - Xuefei Chen
- Section for Crop Sciences, Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, Højbakkegård Allé 13, 2630 Tåstrup, Denmark
| | - Renate Müller
- Section for Crop Sciences, Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, Højbakkegård Allé 13, 2630 Tåstrup, Denmark
| | - Henrik Lütken
- Section for Crop Sciences, Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, Højbakkegård Allé 13, 2630 Tåstrup, Denmark
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8
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Fiesel PD, Parks HM, Last RL, Barry CS. Fruity, sticky, stinky, spicy, bitter, addictive, and deadly: evolutionary signatures of metabolic complexity in the Solanaceae. Nat Prod Rep 2022; 39:1438-1464. [PMID: 35332352 PMCID: PMC9308699 DOI: 10.1039/d2np00003b] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Covering: 2000-2022Plants collectively synthesize a huge repertoire of metabolites. General metabolites, also referred to as primary metabolites, are conserved across the plant kingdom and are required for processes essential to growth and development. These include amino acids, sugars, lipids, and organic acids. In contrast, specialized metabolites, historically termed secondary metabolites, are structurally diverse, exhibit lineage-specific distribution and provide selective advantage to host species to facilitate reproduction and environmental adaptation. Due to their potent bioactivities, plant specialized metabolites attract considerable attention for use as flavorings, fragrances, pharmaceuticals, and bio-pesticides. The Solanaceae (Nightshade family) consists of approximately 2700 species and includes crops of significant economic, cultural, and scientific importance: these include potato, tomato, pepper, eggplant, tobacco, and petunia. The Solanaceae has emerged as a model family for studying the biochemical evolution of plant specialized metabolism and multiple examples exist of lineage-specific metabolites that influence the senses and physiology of commensal and harmful organisms, including humans. These include, alcohols, phenylpropanoids, and carotenoids that contribute to fruit aroma and color in tomato (fruity), glandular trichome-derived terpenoids and acylsugars that contribute to plant defense (stinky & sticky, respectively), capsaicinoids in chilli-peppers that influence seed dispersal (spicy), and steroidal glycoalkaloids (bitter) from Solanum, nicotine (addictive) from tobacco, as well as tropane alkaloids (deadly) from Deadly Nightshade that deter herbivory. Advances in genomics and metabolomics, coupled with the adoption of comparative phylogenetic approaches, resulted in deeper knowledge of the biosynthesis and evolution of these metabolites. This review highlights recent progress in this area and outlines opportunities for - and challenges of-developing a more comprehensive understanding of Solanaceae metabolism.
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Affiliation(s)
- Paul D Fiesel
- Department of Biochemistry & Molecular Biology, Michigan State University, East Lansing, MI 48824, USA
| | - Hannah M Parks
- Department of Biochemistry & Molecular Biology, Michigan State University, East Lansing, MI 48824, USA
| | - Robert L Last
- Department of Biochemistry & Molecular Biology, Michigan State University, East Lansing, MI 48824, USA
- Department of Plant Biology, Michigan State University, East Lansing, MI 48824, USA
| | - Cornelius S Barry
- Department of Horticulture, Michigan State University, East Lansing, MI 48824, USA.
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9
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Jiang M, Ning W, Wu S, Wang X, Zhu K, Li A, Li Y, Cheng S, Song B. Three-nucleotide periodicity of nucleotide diversity in a population enables the identification of open reading frames. Brief Bioinform 2022; 23:6607611. [PMID: 35698834 PMCID: PMC9294425 DOI: 10.1093/bib/bbac210] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 04/25/2022] [Accepted: 05/06/2022] [Indexed: 11/14/2022] Open
Abstract
Accurate prediction of open reading frames (ORFs) is important for studying and using genome sequences. Ribosomes move along mRNA strands with a step of three nucleotides and datasets carrying this information can be used to predict ORFs. The ribosome-protected footprints (RPFs) feature a significant 3-nt periodicity on mRNAs and are powerful in predicting translating ORFs, including small ORFs (sORFs), but the application of RPFs is limited because they are too short to be accurately mapped in complex genomes. In this study, we found a significant 3-nt periodicity in the datasets of populational genomic variants in coding sequences, in which the nucleotide diversity increases every three nucleotides. We suggest that this feature can be used to predict ORFs and develop the Python package ‘OrfPP’, which recovers ~83% of the annotated ORFs in the tested genomes on average, independent of the population sizes and the complexity of the genomes. The novel ORFs, including sORFs, identified from single-nucleotide polymorphisms are supported by protein mass spectrometry evidence comparable to that of the annotated ORFs. The application of OrfPP to tetraploid cotton and hexaploid wheat genomes successfully identified 76.17% and 87.43% of the annotated ORFs in the genomes, respectively, as well as 4704 sORFs, including 1182 upstream and 2110 downstream ORFs in cotton and 5025 sORFs, including 232 upstream and 234 downstream ORFs in wheat. Overall, we propose an alternative and supplementary approach for ORF prediction that can extend the studies of sORFs to more complex genomes.
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Affiliation(s)
- Mengyun Jiang
- Chinese Academy of Agricultural Sciences and Henan University, China
| | - Weidong Ning
- Chinese Academy of Agricultural Sciences and Huazhong Agricultural University, China
| | - Shishi Wu
- Chinese Academy of Agricultural Sciences and Henan University, China
| | - Xingwei Wang
- Chinese Academy of Agricultural Sciences and Henan University, China
| | - Kun Zhu
- Chinese Academy of Agricultural Sciences and Henan University, China
| | - Aomei Li
- Chinese Academy of Agricultural Sciences, China
| | - Yongyao Li
- Chinese Academy of Agricultural Sciences, China
| | | | - Bo Song
- Chinese Academy of Agricultural Sciences, China
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10
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Li L, Chen X, Fang D, Dong S, Guo X, Li N, Campos‐Dominguez L, Wang W, Liu Y, Lang X, Peng Y, Tian D, Thomas DC, Mu W, Liu M, Wu C, Yang T, Zhang S, Yang L, Yang J, Liu Z, Zhang L, Zhang X, Chen F, Jiao Y, Guo Y, Hughes M, Wang W, Liu X, Zhong C, Li A, Sahu SK, Yang H, Wu E, Sharbrough J, Lisby M, Liu X, Xu X, Soltis DE, Van de Peer Y, Kidner C, Zhang S, Liu H. Genomes shed light on the evolution of Begonia, a mega-diverse genus. THE NEW PHYTOLOGIST 2022; 234:295-310. [PMID: 34997964 PMCID: PMC7612470 DOI: 10.1111/nph.17949] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Accepted: 12/20/2021] [Indexed: 05/02/2023]
Abstract
Clarifying the evolutionary processes underlying species diversification and adaptation is a key focus of evolutionary biology. Begonia (Begoniaceae) is one of the most species-rich angiosperm genera with c. 2000 species, most of which are shade-adapted. Here, we present chromosome-scale genome assemblies for four species of Begonia (B. loranthoides, B. masoniana, B. darthvaderiana and B. peltatifolia), and whole genome shotgun data for an additional 74 Begonia representatives to investigate lineage evolution and shade adaptation of the genus. The four genome assemblies range in size from 331.75 Mb (B. peltatifolia) to 799.83 Mb (B. masoniana), and harbor 22 059-23 444 protein-coding genes. Synteny analysis revealed a lineage-specific whole-genome duplication (WGD) that occurred just before the diversification of Begonia. Functional enrichment of gene families retained after WGD highlights the significance of modified carbohydrate metabolism and photosynthesis possibly linked to shade adaptation in the genus, which is further supported by expansions of gene families involved in light perception and harvesting. Phylogenomic reconstructions and genomics studies indicate that genomic introgression has also played a role in the evolution of Begonia. Overall, this study provides valuable genomic resources for Begonia and suggests potential drivers underlying the diversity and adaptive evolution of this mega-diverse clade.
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11
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Sabadin F, Carvalho HF, Galli G, Fritsche-Neto R. Population-tailored mock genome enables genomic studies in species without a reference genome. Mol Genet Genomics 2021; 297:33-46. [PMID: 34755217 DOI: 10.1007/s00438-021-01831-9] [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: 02/15/2021] [Accepted: 10/28/2021] [Indexed: 11/26/2022]
Abstract
Based on molecular markers, genomic prediction enables us to speed up breeding schemes and increase the response to selection. There are several high-throughput genotyping platforms able to deliver thousands of molecular markers for genomic study purposes. However, even though its widely applied in plant breeding, species without a reference genome cannot fully benefit from genomic tools and modern breeding schemes. We used a method to assemble a population-tailored mock genome to call single-nucleotide polymorphism (SNP) markers without an available reference genome, and for the first time, we compared the results with standard genotyping platforms (array and genotyping-by-sequencing (GBS) using a reference genome) for performance in genomic prediction models. Our results indicate that using a population-tailored mock genome to call SNP delivers reliable estimates for the genomic relationship between genotypes. Furthermore, genomic prediction estimates were comparable to standard approaches, especially when considering only additive effects. However, mock genomes were slightly worse than arrays at predicting traits influenced by dominance effects, but still performed as well as standard GBS methods that use a reference genome. Nevertheless, the array-based SNP markers methods achieved the best predictive ability and reliability to estimate variance components. Overall, the mock genomes can be a worthy alternative for genomic selection studies, especially for those species where the reference genome is not available.
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Affiliation(s)
- Felipe Sabadin
- Department of Genetics, "Luiz de Queiroz" College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil.
| | - Humberto Fanelli Carvalho
- Department of Genetics, "Luiz de Queiroz" College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil
| | - Giovanni Galli
- Department of Genetics, "Luiz de Queiroz" College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil
| | - Roberto Fritsche-Neto
- Department of Genetics, "Luiz de Queiroz" College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil
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12
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Razzaq A, Wani SH, Saleem F, Yu M, Zhou M, Shabala S. Rewilding crops for climate resilience: economic analysis and de novo domestication strategies. JOURNAL OF EXPERIMENTAL BOTANY 2021; 72:6123-6139. [PMID: 34114599 DOI: 10.1093/jxb/erab276] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Accepted: 06/09/2021] [Indexed: 05/08/2023]
Abstract
To match predicted population growth, annual food production should be doubled by 2050. This is not achievable by current agronomical and breeding practices, due to the impact of climate changes and associated abiotic stresses on agricultural production systems. Here, we analyze the impact of global climate trends on crop productivity and show that the overall loss in crop production from climate-driven abiotic stresses may exceed US$170 billion year-1 and represents a major threat to global food security. We also show that abiotic stress tolerance had been present in wild progenitors of modern crops but was lost during their domestication. We argue for a major shift in our paradigm of crop breeding, focusing on climate resilience, and call for a broader use of wild relatives as a major tool in this process. We argue that, while molecular tools are currently in place to harness the potential of climate-resilient genes present in wild relatives, the complex polygenic nature of tolerance traits remains a major bottleneck in this process. Future research efforts should be focused not only on finding appropriate wild relatives but also on development of efficient cell-based high-throughput phenotyping platforms allowing assessment of the in planta operation of key genes.
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Affiliation(s)
- Ali Razzaq
- Centre of Agricultural Biochemistry and Biotechnology (CABB), University of Agriculture, Faisald 38040,Pakistan
| | - Shabir Hussain Wani
- Mountain Research Center for Field Crops, Khudwani, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, J&K,India
| | - Fozia Saleem
- Centre of Agricultural Biochemistry and Biotechnology (CABB), University of Agriculture, Faisald 38040,Pakistan
| | - Min Yu
- International Research Centre for Environmental Membrane Biology, Foshan University, Foshan 528000,China
| | - Meixue Zhou
- Tasmanian Institute of Agriculture, University of Tasmania, Hobart, Tas 7001,Australia
| | - Sergey Shabala
- International Research Centre for Environmental Membrane Biology, Foshan University, Foshan 528000,China
- Tasmanian Institute of Agriculture, University of Tasmania, Hobart, Tas 7001,Australia
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13
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Venezia M, Creasey Krainer KM. Current Advancements and Limitations of Gene Editing in Orphan Crops. FRONTIERS IN PLANT SCIENCE 2021; 12:742932. [PMID: 34630494 PMCID: PMC8493294 DOI: 10.3389/fpls.2021.742932] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Accepted: 08/20/2021] [Indexed: 05/23/2023]
Abstract
Gene editing provides precise, heritable genome mutagenesis without permanent transgenesis, and has been widely demonstrated and applied in planta. In the past decade, clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated proteins (Cas) has revolutionized the application of gene editing in crops, with mechanistic advances expanding its potential, including prime editing and base editing. To date, CRISPR/Cas has been utilized in over a dozen orphan crops with diverse genetic backgrounds, leading to novel alleles and beneficial phenotypes for breeders, growers, and consumers. In conjunction with the adoption of science-based regulatory practices, there is potential for CRISPR/Cas-mediated gene editing in orphan crop improvement programs to solve a plethora of agricultural problems, especially impacting developing countries. Genome sequencing has progressed, becoming more affordable and applicable to orphan crops. Open-access resources allow for target gene identification and guide RNA (gRNA) design and evaluation, with modular cloning systems and enzyme screening methods providing experimental feasibility. While the genomic and mechanistic limitations are being overcome, crop transformation and regeneration continue to be the bottleneck for gene editing applications. International collaboration between all stakeholders involved in crop improvement is vital to provide equitable access and bridge the scientific gap between the world's most economically important crops and the most under-researched crops. This review describes the mechanisms and workflow of CRISPR/Cas in planta and addresses the challenges, current applications, and future prospects in orphan crops.
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14
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Shimira F, Boyaci HF, Çilesiz Y, Nadeem MA, Baloch FS, Taşkin H. Exploring the genetic diversity and population structure of scarlet eggplant germplasm from Rwanda through iPBS-retrotransposon markers. Mol Biol Rep 2021; 48:6323-6333. [PMID: 34383245 DOI: 10.1007/s11033-021-06626-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 08/03/2021] [Indexed: 11/24/2022]
Abstract
BACKGROUND Scarlet eggplant (Solanum aethiopicum gr. gilo) is a part of African indigenous vegetables and acknowledged as a source of variations in the breeding of Brinjal. Since its genetic diversity is still largely unexplored, therefore genetic diversity and population structure of this plant were investigated in this study. METHODS AND RESULTS Scarlet eggplant germplasm made of fifty-two accessions originated from two districts of Rwanda was assessed by employing the iPBS-retrotransposon markers system. Twelve most polymorphic primers were employed for molecular characterization and they yielded 329 total bands whereupon 85.03% were polymorphic. The recorded mean polymorphism information content was 0.363 and other diversity indices such as; mean the effective number of alleles, mean Shannon's information index and gene diversity with the following values; 1.298, 0.300 and 0.187 respectively. A superior level of diversity was noticed among accessions from Musanze district. The model-based structure, neighbor-joining, and principal coordinate analysis (PCoA) gathered scarlet germplasm in a divergence manner to their collection district. Analysis of molecular variance (AMOVA) displayed that the utmost variations (81%) in scarlet eggplant germplasm are resulting in differences within populations. CONCLUSIONS The extensive diversity of scarlet eggplant in Rwanda might be used to form the base and genetic resource of an exhaustive breeding program of this economically important African indigenous vegetable. For instance, accessions MZE53 and GKE11 might be proposed as parent candidates due to their high relative genetic distance (0.6781).
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Affiliation(s)
- Flavien Shimira
- Department of Horticulture, Faculty of Agriculture, Cukurova University, Adana, Turkey
| | - Hatice Filiz Boyaci
- Department of Vegetable Crops and Ornamentals, Bati Akdeniz Agricultural Research Institute, Antalya, Turkey
| | - Yeter Çilesiz
- Faculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, Sivas, Turkey
| | - Muhammad Azhar Nadeem
- Faculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, Sivas, Turkey
| | - Faheem Shehzad Baloch
- Faculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, Sivas, Turkey.
| | - Hatıra Taşkin
- Department of Horticulture, Faculty of Agriculture, Cukurova University, Adana, Turkey
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15
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Barchi L, Rabanus‐Wallace MT, Prohens J, Toppino L, Padmarasu S, Portis E, Rotino GL, Stein N, Lanteri S, Giuliano G. Improved genome assembly and pan-genome provide key insights into eggplant domestication and breeding. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2021; 107:579-596. [PMID: 33964091 PMCID: PMC8453987 DOI: 10.1111/tpj.15313] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 04/30/2021] [Accepted: 05/04/2021] [Indexed: 05/20/2023]
Abstract
Eggplant (Solanum melongena L.) is an important horticultural crop and one of the most widely grown vegetables from the Solanaceae family. It was domesticated from a wild, prickly progenitor carrying small, round, non-anthocyanic fruits. We obtained a novel, highly contiguous genome assembly of the eggplant '67/3' reference line, by Hi-C retrofitting of a previously released short read- and optical mapping-based assembly. The sizes of the 12 chromosomes and the fraction of anchored genes in the improved assembly were comparable to those of a chromosome-level assembly. We resequenced 23 accessions of S. melongena representative of the worldwide phenotypic, geographic, and genetic diversity of the species, and one each from the closely related species Solanum insanum and Solanum incanum. The eggplant pan-genome contained approximately 51.5 additional megabases and 816 additional genes compared with the reference genome, while the pan-plastome showed little genetic variation. We identified 53 selective sweeps related to fruit color, prickliness, and fruit shape in the nuclear genome, highlighting selection leading to the emergence of present-day S. melongena cultivars from its wild ancestors. Candidate genes underlying the selective sweeps included a MYBL1 repressor and CHALCONE ISOMERASE (for fruit color), homologs of Arabidopsis GLABRA1 and GLABROUS INFLORESCENCE STEMS2 (for prickliness), and orthologs of tomato FW2.2, OVATE, LOCULE NUMBER/WUSCHEL, SUPPRESSOR OF OVATE, and CELL SIZE REGULATOR (for fruit size/shape), further suggesting that selection for the latter trait relied on a common set of orthologous genes in tomato and eggplant.
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Affiliation(s)
- Lorenzo Barchi
- DISAFA – Plant geneticsUniversity of TurinGrugliasco (TO)10095Italy
| | | | - Jaime Prohens
- COMAVUniversitat Politècnica de ValènciaCamino de Vera 14Valencia46022Spain
| | - Laura Toppino
- CREA Research Centre for Genomics and BioinformaticsVia Paullese 28Montanaso LombardoLO26836Italy
| | - Sudharsan Padmarasu
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK)Corrensstr. 3Seeland06466Germany
| | - Ezio Portis
- DISAFA – Plant geneticsUniversity of TurinGrugliasco (TO)10095Italy
| | - Giuseppe Leonardo Rotino
- CREA Research Centre for Genomics and BioinformaticsVia Paullese 28Montanaso LombardoLO26836Italy
| | - Nils Stein
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK)Corrensstr. 3Seeland06466Germany
- Department of Crop SciencesCenter for Integrated Breeding Research (CiBreed)Georg‐August‐UniversityVon Siebold Str. 8Göttingen37075Germany
| | - Sergio Lanteri
- DISAFA – Plant geneticsUniversity of TurinGrugliasco (TO)10095Italy
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16
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Ghazal H, Adam Y, Idrissi Azami A, Sehli S, Nyarko HN, Chaouni B, Olasehinde G, Isewon I, Adebiyi M, Ajani O, Matovu E, Obembe O, Ajamma Y, Kuzamunu G, Pandam Salifu S, Kayondo J, Benkahla A, Adebiyi E. Plant genomics in Africa: present and prospects. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2021; 107:21-36. [PMID: 33837593 DOI: 10.1111/tpj.15272] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/01/2021] [Revised: 03/29/2021] [Accepted: 04/01/2021] [Indexed: 06/12/2023]
Abstract
Plants are the world's most consumed goods. They are of high economic value and bring many health benefits. In most countries in Africa, the supply and quality of food will rise to meet the growing population's increasing demand. Genomics and other biotechnology tools offer the opportunity to improve subsistence crops and medicinal herbs in the continent. Significant advances have been made in plant genomics, which have enhanced our knowledge of the molecular processes underlying both plant quality and yield. The sequencing of complex genomes of African plant species, facilitated by the continuously evolving next-generation sequencing technologies and advanced bioinformatics approaches, has provided new opportunities for crop improvement. This review summarizes the achievements of genome sequencing projects of endemic African plants in the last two decades. We also present perspectives and challenges for future plant genomic studies that will accelerate important plant breeding programs for African communities. These challenges include a lack of basic facilities, a lack of sequencing and bioinformatics facilities, and a lack of skills to design genomics studies. However, it is imperative to state that African countries have become key players in the plant genome revolution and genome derived-biotechnology. Therefore, African governments should invest in public plant genomics research and applications, establish bioinformatics platforms and training programs, and stimulate university and industry partnerships to fully deploy plant genomics, particularly in the fields of agriculture and medicine.
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Affiliation(s)
- Hassan Ghazal
- National Center for Scientific and Technical Research, Rabat, Morocco
- Mohammed VI University of Health Sciences, Casablanca, Morocco
| | - Yagoub Adam
- Covenant University Bioinformatics Research (CUBRe), Covenant University, Ogun State, Km 10 Idiroko Road, P.M.B. 1023, Nigeria
| | | | - Sofia Sehli
- Mohammed VI University of Health Sciences, Casablanca, Morocco
| | - Hannah N Nyarko
- Department of Biochemistry and Biotechnology, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana
| | - Bouchra Chaouni
- Laboratory of Plant and Microbial Biotechnology, Biodiversity and Environment, Faculty of Sciences, University Mohammed V, Rabat, Morocco
| | - Grace Olasehinde
- Covenant University Bioinformatics Research (CUBRe), Covenant University, Ogun State, Km 10 Idiroko Road, P.M.B. 1023, Nigeria
- Department of Biological Sciences, Covenant University, Ogun State, Km 10 Idiroko Road, P.M.B. 1023, Ota, Nigeria
| | - Itunuoluwa Isewon
- Covenant University Bioinformatics Research (CUBRe), Covenant University, Ogun State, Km 10 Idiroko Road, P.M.B. 1023, Nigeria
- Department of Computer and Information Sciences, Covenant University, Ogun State, Km 10 Idiroko Road, P.M.B. 1023, Ota, Nigeria
| | - Marion Adebiyi
- Covenant University Bioinformatics Research (CUBRe), Covenant University, Ogun State, Km 10 Idiroko Road, P.M.B. 1023, Nigeria
- Department of Computer Science, Landmark University, Kwara-State, Omu-Aran, Nigeria
| | - Olayinka Ajani
- Covenant University Bioinformatics Research (CUBRe), Covenant University, Ogun State, Km 10 Idiroko Road, P.M.B. 1023, Nigeria
- Department of Chemistry, Covenant University, Ogun State, Km 10 Idiroko Road, P.M.B. 1023, Ota, Nigeria
| | - Enock Matovu
- College of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, P. O. Box 7062, Kampala, Uganda
| | - Olawole Obembe
- Covenant University Bioinformatics Research (CUBRe), Covenant University, Ogun State, Km 10 Idiroko Road, P.M.B. 1023, Nigeria
- Department of Biological Sciences, Covenant University, Ogun State, Km 10 Idiroko Road, P.M.B. 1023, Ota, Nigeria
| | - Yvonne Ajamma
- Covenant University Bioinformatics Research (CUBRe), Covenant University, Ogun State, Km 10 Idiroko Road, P.M.B. 1023, Nigeria
| | - Gaston Kuzamunu
- African Institute for Mathematical Sciences, Cape Town, 7945, South Africa
- Department of Pathology, Division of Human Genetics, University of Cape Town, IDM, Cape Town, South Africa
- Department of Integrative Biomedical Sciences, Computational Biology Division, University of Cape Town, Observatory, 7925, South Africa
| | - Samson Pandam Salifu
- Department of Biochemistry and Biotechnology, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana
| | - Jonathan Kayondo
- Uganda Virus Research Institute (UVRI), Uganda Research Unit on AIDS, Entebbe, Uganda
| | - Alia Benkahla
- Bioinformatics and Biostatistics Laboratory (LR16IPT09), Pasteur Institute of Tunis, Tunis, Tunisia
| | - Ezekiel Adebiyi
- Covenant University Bioinformatics Research (CUBRe), Covenant University, Ogun State, Km 10 Idiroko Road, P.M.B. 1023, Nigeria
- Department of Computer and Information Sciences, Covenant University, Ogun State, Km 10 Idiroko Road, P.M.B. 1023, Ota, Nigeria
- Division of Applied Bioinformatics, German Cancer Research Center (DKFZ), G200, Im Neuenheimer Feld 280, Heidelberg, 69120, Germany
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17
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Kamenya SN, Mikwa EO, Song B, Odeny DA. Genetics and breeding for climate change in Orphan crops. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:1787-1815. [PMID: 33486565 PMCID: PMC8205878 DOI: 10.1007/s00122-020-03755-1] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 12/16/2020] [Indexed: 05/17/2023]
Abstract
Climate change is rapidly changing how we live, what we eat and produce, the crops we breed and the target traits. Previously underutilized orphan crops that are climate resilient are receiving much attention from the crops research community, as they are often the only crops left in the field after periods of extreme weather conditions. There are several orphan crops with incredible resilience to biotic and abiotic stresses. Some are nutritious, while others provide good sources of biofuel, medicine and other industrial raw materials. Despite these benefits, orphan crops are still lacking in important genetic and genomic resources that could be used to fast track their improvement and make their production profitable. Progress has been made in generating draft genomes of at least 28 orphan crops over the last decade, thanks to the reducing cost of sequencing. The implementation of a structured breeding program that takes advantage of additional modern crop improvement tools such as genomic selection, speed breeding, genome editing, high throughput phenotyping and breeding digitization would make rapid improvement of these orphan crops possible, but would require coordinated research investment. Other production challenges such as lack of adequate germplasm conservation, poor/non-existent seed systems and agricultural extension services, as well as poor marketing channels will also need to be improved if orphan crops were to be profitable. We review the importance of breeding orphan crops under the increasing effects of climate change, highlight existing gaps that need to be addressed and share some lessons to be learned from major crops.
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Affiliation(s)
- Sandra Ndagire Kamenya
- African Center of Excellence in Agroecology and Livelihood Systems, Uganda Martyrs University, Kampala, Uganda
| | - Erick Owuor Mikwa
- The International Crops Research Institute for the Semi-Arid Tropics - Eastern and Southern Africa, Nairobi, Kenya
| | - Bo Song
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute At Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518060, People's Republic of China.
| | - Damaris Achieng Odeny
- The International Crops Research Institute for the Semi-Arid Tropics - Eastern and Southern Africa, Nairobi, Kenya.
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18
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Solanum aethiopicum: The Nutrient-Rich Vegetable Crop with Great Economic, Genetic Biodiversity and Pharmaceutical Potential. HORTICULTURAE 2021. [DOI: 10.3390/horticulturae7060126] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Solanum aethiopicum is a very important vegetable for both rural and urban communities in Africa. The crop is rich in both macro- and micronutrients compared with other vegetables and is suitable for ensuring food and nutritional security. It also possesses several medicinal properties and is currently employed in the treatment of high blood pressure, diabetes, cholera, uterine complaints as well as skin infections in humans. The crop is predominantly cultivated by traditional farmers and plays an important role in the subsistence and economy of poor farmers and consumers throughout the developing world. It also holds potential for dietary diversification, greater genetic biodiversity and sustainable production in Africa. Despite the numerous benefits the crop presents, it remains neglected and underutilized due to the world’s over-dependence on a few plant species, as well as the little attention in research and development it has received over the years. This review highlights the importance of S. aethiopicum, its role in crop diversification, reducing hidden hunger, the potential for nutritive and medicinal benefits, agricultural sustainability and future thrusts for breeding and genetic improvement of the plant species.
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19
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Serfraz S, Sharma V, Maumus F, Aubriot X, Geering ADW, Teycheney PY. Insertion of Badnaviral DNA in the Late Blight Resistance Gene (R1a) of Brinjal Eggplant ( Solanum melongena). FRONTIERS IN PLANT SCIENCE 2021; 12:683681. [PMID: 34367211 PMCID: PMC8346255 DOI: 10.3389/fpls.2021.683681] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 06/30/2021] [Indexed: 05/20/2023]
Abstract
Endogenous viral elements (EVEs) are widespread in plant genomes. They result from the random integration of viral sequences into host plant genomes by horizontal DNA transfer and have the potential to alter host gene expression. We performed a large-scale search for co-transcripts including caulimovirid and plant sequences in 1,678 plant and 230 algal species and characterized 50 co-transcripts in 45 distinct plant species belonging to lycophytes, ferns, gymnosperms and angiosperms. We found that insertion of badnavirus EVEs along with Ty-1 copia mobile elements occurred into a late blight resistance gene (R1) of brinjal eggplant (Solanum melongena) and wild relatives in genus Solanum and disrupted R1 orthologs. EVEs of two previously unreported badnaviruses were identified in the genome of S. melongena, whereas EVEs from an additional novel badnavirus were identified in the genome of S. aethiopicum, the cultivated scarlet eggplant. Insertion of these viruses in the ancestral lineages of the direct wild relatives of the eggplant would have occurred during the last 3 Myr, further supporting the distinctiveness of the group of the eggplant within the giant genus Solanum.
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Affiliation(s)
- Saad Serfraz
- CIRAD, UMR AGAP Institut, F-97130, Capesterre-Belle-Eau, France
- UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Capesterre-Belle-Eau, France
- Centre of Agricultural Biochemistry and Biotechnology, University of Agriculture, Faisalabad, Pakistan
| | - Vikas Sharma
- URGI, INRAE, Université Paris-Saclay, Versailles, France
| | - Florian Maumus
- URGI, INRAE, Université Paris-Saclay, Versailles, France
| | - Xavier Aubriot
- Université Paris-Saclay, CNRS, AgroParisTech, Ecologie Systématique Evolution, Orsay, France
| | - Andrew D. W. Geering
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia
| | - Pierre-Yves Teycheney
- CIRAD, UMR AGAP Institut, F-97130, Capesterre-Belle-Eau, France
- UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Capesterre-Belle-Eau, France
- *Correspondence: Pierre-Yves Teycheney,
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20
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Wei Q, Wang J, Wang W, Hu T, Hu H, Bao C. A high-quality chromosome-level genome assembly reveals genetics for important traits in eggplant. HORTICULTURE RESEARCH 2020; 7:153. [PMID: 33024567 PMCID: PMC7506008 DOI: 10.1038/s41438-020-00391-0] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 08/19/2020] [Accepted: 08/23/2020] [Indexed: 05/04/2023]
Abstract
Eggplant (Solanum melongena L.) is an economically important vegetable crop in the Solanaceae family, with extensive diversity among landraces and close relatives. Here, we report a high-quality reference genome for the eggplant inbred line HQ-1315 (S. melongena-HQ) using a combination of Illumina, Nanopore and 10X genomics sequencing technologies and Hi-C technology for genome assembly. The assembled genome has a total size of ~1.17 Gb and 12 chromosomes, with a contig N50 of 5.26 Mb, consisting of 36,582 protein-coding genes. Repetitive sequences comprise 70.09% (811.14 Mb) of the eggplant genome, most of which are long terminal repeat (LTR) retrotransposons (65.80%), followed by long interspersed nuclear elements (LINEs, 1.54%) and DNA transposons (0.85%). The S. melongena-HQ eggplant genome carries a total of 563 accession-specific gene families containing 1009 genes. In total, 73 expanded gene families (892 genes) and 34 contraction gene families (114 genes) were functionally annotated. Comparative analysis of different eggplant genomes identified three types of variations, including single-nucleotide polymorphisms (SNPs), insertions/deletions (indels) and structural variants (SVs). Asymmetric SV accumulation was found in potential regulatory regions of protein-coding genes among the different eggplant genomes. Furthermore, we performed QTL-seq for eggplant fruit length using the S. melongena-HQ reference genome and detected a QTL interval of 71.29-78.26 Mb on chromosome E03. The gene Smechr0301963, which belongs to the SUN gene family, is predicted to be a key candidate gene for eggplant fruit length regulation. Moreover, we anchored a total of 210 linkage markers associated with 71 traits to the eggplant chromosomes and finally obtained 26 QTL hotspots. The eggplant HQ-1315 genome assembly can be accessed at http://eggplant-hq.cn. In conclusion, the eggplant genome presented herein provides a global view of genomic divergence at the whole-genome level and powerful tools for the identification of candidate genes for important traits in eggplant.
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Affiliation(s)
- Qingzhen Wei
- Institute of Vegetable Research, Zhejiang Academy of Agricultural Sciences, Hangzhou, 30021 China
| | - Jinglei Wang
- Institute of Vegetable Research, Zhejiang Academy of Agricultural Sciences, Hangzhou, 30021 China
| | - Wuhong Wang
- Institute of Vegetable Research, Zhejiang Academy of Agricultural Sciences, Hangzhou, 30021 China
| | - Tianhua Hu
- Institute of Vegetable Research, Zhejiang Academy of Agricultural Sciences, Hangzhou, 30021 China
| | - Haijiao Hu
- Institute of Vegetable Research, Zhejiang Academy of Agricultural Sciences, Hangzhou, 30021 China
| | - Chonglai Bao
- Institute of Vegetable Research, Zhejiang Academy of Agricultural Sciences, Hangzhou, 30021 China
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Calleja-Cabrera J, Boter M, Oñate-Sánchez L, Pernas M. Root Growth Adaptation to Climate Change in Crops. FRONTIERS IN PLANT SCIENCE 2020; 11:544. [PMID: 32457782 PMCID: PMC7227386 DOI: 10.3389/fpls.2020.00544] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Accepted: 04/09/2020] [Indexed: 05/05/2023]
Abstract
Climate change is threatening crop productivity worldwide and new solutions to adapt crops to these environmental changes are urgently needed. Elevated temperatures driven by climate change affect developmental and physiological plant processes that, ultimately, impact on crop yield and quality. Plant roots are responsible for water and nutrients uptake, but changes in soil temperatures alters this process limiting crop growth. With the predicted variable climatic forecast, the development of an efficient root system better adapted to changing soil and environmental conditions is crucial for enhancing crop productivity. Root traits associated with improved adaptation to rising temperatures are increasingly being analyzed to obtain more suitable crop varieties. In this review, we will summarize the current knowledge about the effect of increasing temperatures on root growth and their impact on crop yield. First, we will describe the main alterations in root architecture that different crops undergo in response to warmer soils. Then, we will outline the main coordinated physiological and metabolic changes taking place in roots and aerial parts that modulate the global response of the plant to increased temperatures. We will discuss on some of the main regulatory mechanisms controlling root adaptation to warmer soils, including the activation of heat and oxidative pathways to prevent damage of root cells and disruption of root growth; the interplay between hormonal regulatory pathways and the global changes on gene expression and protein homeostasis. We will also consider that in the field, increasing temperatures are usually associated with other abiotic and biotic stresses such as drought, salinity, nutrient deficiencies, and pathogen infections. We will present recent advances on how the root system is able to integrate and respond to complex and different stimuli in order to adapt to an increasingly changing environment. Finally, we will discuss the new prospects and challenges in this field as well as the more promising pathways for future research.
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Affiliation(s)
| | | | | | - M. Pernas
- Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid – Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, Madrid, Spain
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Song B, Song Y, Fu Y, Kizito EB, Kamenya SN, Kabod PN, Liu H, Muthemba S, Kariba R, Njuguna J, Maina S, Stomeo F, Djikeng A, Hendre PS, Chen X, Chen W, Li X, Sun W, Wang S, Cheng S, Muchugi A, Jamnadass R, Shapiro HY, Van Deynze A, Yang H, Wang J, Xu X, Odeny DA, Liu X. Draft genome sequence of Solanum aethiopicum provides insights into disease resistance, drought tolerance, and the evolution of the genome. Gigascience 2019; 8:giz115. [PMID: 31574156 PMCID: PMC6771550 DOI: 10.1093/gigascience/giz115] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2019] [Revised: 07/14/2019] [Accepted: 08/24/2019] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND The African eggplant (Solanum aethiopicum) is a nutritious traditional vegetable used in many African countries, including Uganda and Nigeria. It is thought to have been domesticated in Africa from its wild relative, Solanum anguivi. S. aethiopicum has been routinely used as a source of disease resistance genes for several Solanaceae crops, including Solanum melongena. A lack of genomic resources has meant that breeding of S. aethiopicum has lagged behind other vegetable crops. RESULTS We assembled a 1.02-Gb draft genome of S. aethiopicum, which contained predominantly repetitive sequences (78.9%). We annotated 37,681 gene models, including 34,906 protein-coding genes. Expansion of disease resistance genes was observed via 2 rounds of amplification of long terminal repeat retrotransposons, which may have occurred ∼1.25 and 3.5 million years ago, respectively. By resequencing 65 S. aethiopicum and S. anguivi genotypes, 18,614,838 single-nucleotide polymorphisms were identified, of which 34,171 were located within disease resistance genes. Analysis of domestication and demographic history revealed active selection for genes involved in drought tolerance in both "Gilo" and "Shum" groups. A pan-genome of S. aethiopicum was assembled, containing 51,351 protein-coding genes; 7,069 of these genes were missing from the reference genome. CONCLUSIONS The genome sequence of S. aethiopicum enhances our understanding of its biotic and abiotic resistance. The single-nucleotide polymorphisms identified are immediately available for use by breeders. The information provided here will accelerate selection and breeding of the African eggplant, as well as other crops within the Solanaceae family.
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Affiliation(s)
- Bo Song
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Yue Song
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
- BGI-Qingdao, BGI-Shenzhen, Qingdao 266555, China
| | - Yuan Fu
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
| | | | - Sandra Ndagire Kamenya
- Uganda Christian University, Bishop Tucker Road, Box 4, Mukono, Uganda
- Biosciences Eastern and Central Africa (BecA) – International Livestock Research Institute (ILRI) Hub, P.O. Box 30709, Nairobi 00100, Kenya
| | | | - Huan Liu
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Samuel Muthemba
- African Orphan Crops Consortium, World Agroforestry Centre (ICRAF), United Nations Avenue, Nairobi 00100, Kenya
| | - Robert Kariba
- African Orphan Crops Consortium, World Agroforestry Centre (ICRAF), United Nations Avenue, Nairobi 00100, Kenya
| | - Joyce Njuguna
- Biosciences Eastern and Central Africa (BecA) – International Livestock Research Institute (ILRI) Hub, P.O. Box 30709, Nairobi 00100, Kenya
| | - Solomon Maina
- Biosciences Eastern and Central Africa (BecA) – International Livestock Research Institute (ILRI) Hub, P.O. Box 30709, Nairobi 00100, Kenya
| | - Francesca Stomeo
- Biosciences Eastern and Central Africa (BecA) – International Livestock Research Institute (ILRI) Hub, P.O. Box 30709, Nairobi 00100, Kenya
| | - Appolinaire Djikeng
- Biosciences Eastern and Central Africa (BecA) – International Livestock Research Institute (ILRI) Hub, P.O. Box 30709, Nairobi 00100, Kenya
| | - Prasad S Hendre
- African Orphan Crops Consortium, World Agroforestry Centre (ICRAF), United Nations Avenue, Nairobi 00100, Kenya
| | - Xiaoli Chen
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
| | - Wenbin Chen
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
| | - Xiuli Li
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
| | - Wenjing Sun
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
| | - Sibo Wang
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Shifeng Cheng
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
| | - Alice Muchugi
- African Orphan Crops Consortium, World Agroforestry Centre (ICRAF), United Nations Avenue, Nairobi 00100, Kenya
| | - Ramni Jamnadass
- African Orphan Crops Consortium, World Agroforestry Centre (ICRAF), United Nations Avenue, Nairobi 00100, Kenya
| | - Howard-Yana Shapiro
- African Orphan Crops Consortium, World Agroforestry Centre (ICRAF), United Nations Avenue, Nairobi 00100, Kenya
- University of California, 1 Shields Ave, Davis, CA, USA
- Mars, Incorporated, 6885 Elm Street, McLean, VA 22101, USA
| | | | - Huanming Yang
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
| | - Jian Wang
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
| | - Xun Xu
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
| | - Damaris Achieng Odeny
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) – Eastern and Southern Africa, P.O. Box 39063, Nairobi 00623, Kenya
| | - Xin Liu
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen 518083, China
- China National GeneBank, BGI-Shenzhen, Jinsha Road, Shenzhen 518120, China
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen 518083, China
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