A novel tomato interspecific (Solanum lycopersicum var. cerasiforme and Solanum pimpinellifolium) MAGIC population facilitates trait association and candidate gene discovery in untapped exotic germplasm

Andrea Arrones , Oussama Antar , Leandro Pereira-Dias , Andrea Solana , Paola Ferrante , Giuseppe Aprea , Mariola Plazas , Jaime Prohens , María José Díez , Giovanni Giuliano , Pietro Gramazio , Santiago Vilanova

Horticulture Research ›› 2024, Vol. 11 ›› Issue (7) : 154

PDF (2052KB)
Horticulture Research ›› 2024, Vol. 11 ›› Issue (7) :154 DOI: 10.1093/hr/uhae154
Article
research-article
A novel tomato interspecific (Solanum lycopersicum var. cerasiforme and Solanum pimpinellifolium) MAGIC population facilitates trait association and candidate gene discovery in untapped exotic germplasm
Author information +
History +
PDF (2052KB)

Abstract

We developed a novel eight-way tomato multiparental advanced generation intercross (MAGIC) population to improve the accessibility of tomato relatives genetic resources to geneticists and breeders. The interspecific tomato MAGIC population (ToMAGIC) was obtained by intercrossing four accessions each of Solanum lycopersicum var. cerasiforme and Solanum pimpinellifolium, which are the weedy relative and the ancestor of cultivated tomato, respectively. The eight exotic ToMAGIC founders were selected based on a representation of the genetic diversity and geographical distribution of the two taxa. The resulting MAGIC population comprises 354 lines, which were genotyped using a new 12k tomato single primer enrichment technology panel and yielded 6488 high-quality single-nucleotide polymorphism (SNPs). The genotyping data revealed a high degree of homozygosity, an absence of genetic structure, and a balanced representation of the founder genomes. To evaluate the potential of the ToMAGIC population, a proof of concept was conducted by phenotyping it for fruit size, plant pigmentation, leaf morphology, and earliness. Genome-wide association studies identified strong associations for the studied traits, pinpointing both previously identified and novel candidate genes near or within the linkage disequilibrium blocks. Domesticated alleles for fruit size were recessive and were found, at low frequencies, in wild/ancestral populations. Our findings demonstrate that the newly developed ToMAGIC population is a valuable resource for genetic research in tomato, offering significant potential for identifying new genes that govern key traits in tomato. ToMAGIC lines displaying a pyramiding of traits of interest could have direct applicability for integration into breeding pipelines providing untapped variation for tomato breeding.

Cite this article

Download citation ▾
Andrea Arrones, Oussama Antar, Leandro Pereira-Dias, Andrea Solana, Paola Ferrante, Giuseppe Aprea, Mariola Plazas, Jaime Prohens, María José Díez, Giovanni Giuliano, Pietro Gramazio, Santiago Vilanova. A novel tomato interspecific (Solanum lycopersicum var. cerasiforme and Solanum pimpinellifolium) MAGIC population facilitates trait association and candidate gene discovery in untapped exotic germplasm. Horticulture Research, 2024, 11 (7) : 154 DOI:10.1093/hr/uhae154

登录浏览全文

4963

注册一个新账户 忘记密码

Acknowledgements

This work was supported by grant PID2020-118627RB-I00 funded by MICIU/AEI/10.13039/501100011033, TED2021-129296B-I00 funded by MCIN/AEI/10.13039/501100011033 and European Union Europea NextGenerationEU/PRTR, CIPROM/2021/020 funded by Conselleria d’Innovació, Universitats, Ciència i Societat Digital of the Generalitat Valenciana, the HARNESSTOM innovation action (grant agreement no. 101000716) funded by the European Commission H2020 Research and Innovation Programme, and the Horizon Europe PRO-GRACE project (grant agreement no. 10194738). Andrea Arrones is grateful to Spanish Ministerio de Ciencia, Innovación y Universidades for a predoctoral (FPU18/01742) contract. Oussama Antar is grateful to Conselleria d'Innovació, Ciència i Societat Digital of the Generalitat Valenciana for a predoctoral grant within the Santiago Grisolía program (CIGRIS/2021/113). Leandro Pereira-Dias is grateful to Universitat Politècnica de Valencia and the Spanish Ministerio de Universidades for a post-doctoral grant under the Margarita Salas funded by the European Union NextGenerationEU/PRTR. Andrea Solana is grateful to Spanish Ministerio de Ciencia e Innovación for a predoctoral grant (PRE2022-102368) funded by MCIN/AEI/10.13039/501100011033 and FSE+. Pietro Gramazio is grateful to Spanish Ministerio de Ciencia e Innovación for a post-doctoral grant (RYC2021-031999-I) funded by MCIN/AEI/10.13039/501100011033 and the European Union through NextGenerationEU/PRTR. Funding for open access: Universitat Politècnica de València.

Author contributions

S.V., P.G., M.J.D., and J.P. conceived the idea and supervised the manuscript; A.A., O.A., L.P.-D., A.S., and M.J.D. performed the field trials. G.A. and G.G. in collaboration with TECAN Genomics designed the 12k SPET panel. All authors analysed the results. A.A. and O.A. prepared a first draft of the manuscript, and the rest of the authors reviewed and edited the manuscript. All authors have read and agreed to the published version of the manuscript.

Data availability

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: https://www.ncbi.nlm.nih.gov/, PRJNA616074 (founders resequencing data), and PRJNA1103671 (ToMAGIC lines genotyping).

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Supplementary Data

Supplementary data is available at Horticulture Research online.

References

[1]

Rothan C, Diouf I, Causse M. Trait discovery and editing in tomato. Plant J. 2019; 97 :73-90

[2]

Bombarely A, Menda N, Tecle IY. et al. The sol genomics network ( solgenomics.net ): growing tomatoes using Perl. Nucleic Acids Res. 2010; 39 :D1149-55

[3]

Fei Z, Joung JG, Tang X. et al. Tomato functional genomics database: a comprehensive resource and analysis package for tomato functional genomics. Nucleic Acids Res. 2010; 39 : D1156-63

[4]

Fei Z, Tang X, Alba R. et al. Tomato expression database (TED): a suite of data presentation and analysis tools. Nucleic Acids Res. 2006; 34 :D766-70

[5]

Kudo T, Kobayashi M, Terashima S. et al. TOMATOMICS: a web database for integrated omics information in tomato. Plant Cell Physiol. 2017; 58 :pcw207

[6]

Suresh BV, Roy R, Sahu K. et al. Tomato genomic resources database: an integrated repository of useful tomato genomic information for basic and applied research. PLoS One. 2014; 9 : e86387

[7]

Eshed Y, Zamir D. An introgression line population of Lycopersicon pennellii in the cultivated tomato enables the identification and fine mapping of yield-associated QTL. Genetics. 1995; 141 :1147-62

[8]

Fulop D, Ranjan A, Ofner I. et al. A new advanced backcross tomato population enables high resolution leaf QTL mapping and gene identification. G3 (Bethesda). 2016; 6 :3169-84

[9]

Lippman Z, Semel Y, Zamir D. An integrated view of quantitative trait variation using tomato interspecific introgression lines. Curr Opin Genet Dev. 2007; 17 :545-52

[10]

Paran I, Goldman I, Tanksley SD. et al. Recombinant inbred lines for genetic mapping in tomato. Theor Appl Genet. 1995; 90 : 542-8

[11]

Salinas M, Capel C, Alba JM. et al. Genetic mapping of two QTL from the wild tomato Solanum pimpinellifolium L. controlling resistance against two-spotted spider mite ( Tetranychus urticae Koch). Theor Appl Genet. 2013; 126 :83-92

[12]

Tanksley SD, Nelson JC. Advanced backcross QTL analysis: a method for the simultaneous discovery and transfer of valuable QTLs from unadapted germplasm into elite breeding lines. Theor Appl Genet. 1996; 92 :191-203

[13]

Scott MF, Ladejobi O, Amer S. et al. Multi-parent populations in crops: a toolbox integrating genomics and genetic mapping with breeding. Heredity. 2020; 125 :396-416

[14]

Arrones A, Vilanova S, Plazas M. et al. The dawn of the age of multi-parent magic populations in plant breeding: novel powerful next-generation resources for genetic analysis and selection of recombinant elite material. Biology. 2020; 9 :229

[15]

Cavanagh C, Morell M, Mackay I. et al. From mutations to MAGIC: resources for gene discovery, validation and delivery in crop plants. Curr Opin Plant Biol. 2008; 11 :215-21

[16]

Mackay I, Powell W. Methods for linkage disequilibrium mapping in crops. Trends Plant Sci. 2007; 12 :57-63

[17]

Pascual L, Desplat N, Huang BE. et al. Potential of a tomato MAGIC population to decipher the genetic control of quantitative traits and detect causal variants in the resequencing era. Plant Biotechnol J. 2015; 13 :565-77

[18]

Campanelli G, Sestili S, Acciarri N. et al. Multi-parental advances generation inter-cross population, to develop organic tomato genotypes by participatory plant breeding. Agronomy. 2019; 9 :119

[19]

Nesbitt TC, Tanksley SD. Comparative sequencing in the genus lycopersicon: implications for the evolution of fruit size in the domestication of cultivated tomatoes. Genetics. 2002; 162 : 365-79

[20]

Peralta IE, Spooner DM, Knapp S. Taxonomy of wild tomatoes and their relatives ( Solanum sect. lycopersicoides, sect. juglandifolia, sect. lycopersicon ; Solanaceae). Syst Bot Monogr. 2008; 84 :1-186

[21]

Blanca J, Montero-Pau J, Sauvage C. et al. Genomic variation in tomato, from wild ancestors to contemporary breeding accessions. BMC Genomics. 2015; 16 :257

[22]

Gramazio P, Pereira-Dias L, Vilanova S. et al. Morphoagronomic characterization and whole-genome resequencing of eight highly diverse wild and weedy S. pimpinellifolium and S. lycopersicum var. cerasiforme accessions used for the first interspecific tomato MAGIC population. Hortic Res. 2020a; 7 :174

[23]

Frary A, Doganlar S. Comparative genetics of crop plant domestication and evolution. Turkish J Agric For. 2003; 27 :59-69

[24]

Martínez-Cuenca MR, Pereira-Dias L, Soler S. et al. Adaptation to water and salt stresses of Solanum pimpinellifolium and Solanum lycopersicum var. cerasiforme. Agronomy. 2020; 10 :1169

[25]

Barrero LS, Cong B, Wu F. et al. Developmental characterization of the fasciated locus and mapping of Arabidopsis candidate genes involved in the control of floral meristem size and carpel number in tomato. Genome. 2006; 49 :991-1006

[26]

Muños S, Ranc N, Botton E. et al. Increase in tomato locule number is controlled by two single-nucleotide polymorphisms located near WUSCHEL. Plant Physiol. 2011; 156 :2244-54

[27]

Frary A, Nesbitt TC, Frary A. et al. fw2.2 : a quantitative trait locus key to the evolution of tomato fruit size. Science. 2000; 289 : 85-8

[28]

Colanero S, Perata P, Gonzali S. The atroviolacea gene encodes an R3-MYB protein repressing anthocyanin synthesis in tomato plants. Front Plant Sci. 2018; 9 :830

[29]

Cingolani P, Platts A, Wang LL. et al. A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3. Fly. 2012; 6 :80-92

[30]

Petroni K, Tonelli C. Recent advances on the regulation of anthocyanin synthesis in reproductive organs. Plant Sci. 2011; 181 :219-29

[31]

Quinet M, Bataillel G, Dobrev PI. et al. Transcriptional and hormonal regulation of petal and stamen development by STAMENLESS, the tomato ( Solanum lycopersicum L.) orthologue to the B-class APETALA3 gene. J Exp Bot. 2014; 65 :2243-56

[32]

Snouffer A, Kraus C, van der Knaap E. The shape of things to come: ovate family proteins regulate plant organ shape. Curr Opin Plant Biol. 2020; 53 :98-105

[33]

Horstman A, Willemsen V, Boutilier K. et al. AINTEGUMENTA-LIKE proteins: hubs in a plethora of networks. Trends Plant Sci. 2014; 19 :146-57

[34]

Shani E, Burko Y, Ben-Yaakov L. et al. Stage-specific regulation of Solanum lycopersicum leaf maturation by class 1 KNOTTED1-LIKE HOMEOBOX proteins. Plant Cell. 2009; 21 :3078-92

[35]

Zhang J, Chen R, Xiao J. et al. A single-base deletion mutation in SlIAA9 gene causes tomato ( Solanum lycopersicum ) entire mutant. J Plant Res. 2007; 120 :671-8

[36]

Pin PA, Nilsson O. The multifaceted roles of FLOWERING LOCUS T in plant development. Plant Cell Environ. 2012; 35 :1742-55

[37]

Pnueli L, Gutfinger T, Hareven D. et al. Tomato SP-interacting proteins define a conserved signaling system that regulates shoot architecture and flowering. Plant Cell. 2001; 13 :2687-702

[38]

Szymkowiak EJ, Irish EE. JOINTLESS suppresses sympodial identity in inflorescence meristems of tomato. Planta. 2006; 223 : 646-58

[39]

Blanca J, Sanchez-Matarredona D, Ziarsolo P. et al. Haplotype analyses reveal novel insights into tomato history and domestication driven by long-distance migrations and latitudinal adaptations. Hortic Res. 2022; 9 :uhac030

[40]

Huynh BL, Ehlers JD, Huang BE. et al. A multi-parent advanced generation inter-cross (MAGIC) population for genetic analysis and improvement of cowpea ( Vigna unguiculata L. Walp.). Plant J. 2018; 93 :1129-42

[41]

Dell’Acqua M, Gatti DM, Pea G. et al. Genetic properties of the MAGIC maize population: a new platform for high definition QTL mapping in Zea mays. Genome Biol. 2015; 16 :1-23

[42]

Barchi L, Acquadro A, Alonso D. et al. Single primer enrichment technology (SPET) for high-throughput genotyping in tomato and eggplant germplasm. Front Plant Sci. 2019; 10 :1005

[43]

Gramazio P, Jaén-Molina R, Vilanova S. et al. Fostering conservation via an integrated use of conventional approaches and high-throughput SPET genotyping: a case study using the endangered Canarian endemics Solanum lidii and S. vespertilio (Solanaceae). Front Plant Sci. 2020b; 11 :757

[44]

Mangino G, Arrones A, Plazas M. et al. Newly developed MAGIC population allows identification of strong associations and candidate genes for anthocyanin pigmentation in eggplant. Front Plant Sci. 2022; 13 :847789

[45]

Sato S, Tabata S, Hirakawa H. et al. The tomato genome sequence provides insights into fleshy fruit evolution. Nature. 2012; 485 :635-41

[46]

Huang M, Liu X, Zhou Y. et al. BLINK: a package for the next level of genome-wide association studies with both individuals and markers in the millions. Gigascience. 2019; 8 :154

[47]

Price AL, Patterson NJ, Plenge RM. et al. Principal components analysis corrects for stratification in genome-wide association studies. Nat Genet. 2006; 38 :904-9

[48]

Yu J, Pressoir G, Briggs WH. et al. A unified mixed-model method for association mapping that accounts for multiple levels of relatedness. Nat Genet. 2006; 38 :203-8

[49]

Semel Y, Nissenbaum J, Menda N. et al. Overdominant quantitative trait loci for yield and fitness in tomato. Proc Natl Acad Sci. 2006; 103 :12981-6

[50]

Pereira L, Zhang L, Sapkota M. et al. Unraveling the genetics of tomato fruit weight during crop domestication and diversification. Theor Appl Genet. 2021; 134 :3363-78

[51]

Lin Z, Li X, Shannon LM. et al. Parallel domestication of the Shattering1 genes in cereals. Nat Genet. 2012; 44 :720-4

[52]

Lin Z, Griffith ME, Li X. et al. Origin of seed shattering in rice ( Oryza sativa L.). Planta. 2007; 226 :11-20

[53]

Alpert KB, Grandillo S, Tanksley SD. fw 2.2 :a major QTL controlling fruit weight is common to both red- and green-fruited tomato species. Theor Appl Genet. 1995; 91 :994-1000

[54]

Lippman Z, Tanksley SD. Dissecting the genetic pathway to extreme fruit size in tomato using a cross between the small-fruited wild species Lycopersicon pimpinellifolium and L. esculentum var. Giant Heirloom. Genetics. 2001; 158 :413-22

[55]

van der Knaap E, Chakrabarti M, Chu YH. et al. What lies beyond the eye: the molecular mechanisms regulating tomato fruit weight and shape. Front Plant Sci. 2014; 5 :227

[56]

Nesbitt TC, Tanksley SD. fw2.2 directly affects the size of developing tomato fruit, with secondary effects on fruit number and photosynthate distribution. Plant Physiol. 2001; 127 :575-83

[57]

Beauchet A, Gévaudant F, Gonzalez N. et al. In search of the still unknown function of FW2.2/CELL NUMBER REGULATOR, a major regulator of fruit size in tomato. J Exp Bot. 2021; 72 : 5300-11

[58]

Barrett DM, Beaulieu JC, Shewfelt R. Color, flavor, texture, and nutritional quality of fresh-cut fruits and vegetables: desirable levels, instrumental and sensory measurement, and the effects of processing. Crit Rev Food Sci Nutr. 2010; 50 :369-89

[59]

Jaakola L. New insights into the regulation of anthocyanin biosynthesis in fruits. Trends Plant Sci. 2013; 18 :477-83

[60]

Gould KS. Nature’s Swiss army knife: the diverse protective roles of anthocyanins in leaves. J Biomed Biotechnol. 2004; 2004 : 314-20

[61]

Olsen KM, Slimestad R, Lea US. et al. Temperature and nitrogen effects on regulators and products of the flavonoid pathway: experimental and kinetic model studies. Plant Cell Environ. 2009; 32 :286-99

[62]

Zhang Y, Butelli E, Martin C. Engineering anthocyanin biosynthesis in plants. Curr Opin Plant Biol. 2014; 19 :81-90

[63]

Cao K, Cui L, Zhou X. et al. Four tomato FLOWERING LOCUS T-like proteins act antagonistically to regulate floral initiation. Front Plant Sci. 2016; 6 :1213

[64]

Kang J, Sinha NR. Leaflet initiation is temporally and spatially separated in simple and complex tomato ( Solanum lycopersicum ) leaf mutants: a developmental analysis. Botany. 2010; 88 :710-24

[65]

Nakayama H, Ichihashi Y, Kimura S. Diversity of tomato leaf form provides novel insights into breeding. Breed Sci. 2023; 73 : 76-85

[66]

Burko Y, Shleizer-Burko S, Yanai O. et al. A role for APETALA1/FRUITFULL transcription factors in tomato leaf development. Plant Cell. 2013; 25 :2070-83

[67]

Wang S, Chang Y, Ellis B. Overview of OVATE FAMILY PROTEINS, a novel class of plant-specific growth regulators. Front Plant Sci. 2016; 7 :417

[68]

Shwartz I, Levy M, Ori N. et al. Hormones in tomato leaf development. Dev Biol. 2016; 419 :132-42

[69]

Abe-Hara C, Yamada K, Wada N. et al. Effects of the sliaa9 mutation on shoot elongation growth of tomato cultivars. Front Plant Sci. 2021; 12 :627832

[70]

Ueta R, Abe C, Watanabe T. et al. Rapid breeding of parthenocarpic tomato plants using CRISPR/Cas9. Sci Rep. 2017; 7 :507

[71]

Jiménez-Gómez JM, Alonso-Blanco C, Borja A. et al. Quantitative genetic analysis of flowering time in tomato. Genome. 2007; 50 : 303-15

[72]

Meir Z, Aviezer I, Chongloi GL. et al. Dissection of floral transition by single-meristem transcriptomes at high temporal resolution. Nat Plants. 2021; 7 :800-13

[73]

Zhang R, Jia G, Diao X. geneHapR: an R package for gene haplotypic statistics and visualization. BMC Bioinformatics. 2023b; 24 :199

[74]

Honma S. Flowering and earliness in the tomato. J Hered. 1963; 54 :212-8

[75]

Nakano H, Kobayashi N, Takahata K. et al. Quantitative trait loci analysis of the time of floral initiation in tomato. Sci Hortic. 2016; 201 :199-210

[76]

Silva GFF, Silva EM, Correa JPO. et al. Tomato floral induction and flower development are orchestrated by the interplay between gibberellin and two unrelated microRNA-controlled modules. New Phytol. 2019; 221 :1328-44

[77]

Turck F, Fornara F, Coupland G. Regulation and identity of florigen: flowering locus T moves center stage. Annu Rev Plant Biol. 2008; 59 :573-94

[78]

Hosmani PS, Flores-Gonzalez M, van de Geest H. et al. An improved de novo assembly and annotation of the tomato reference genome using single-molecule sequencing, Hi-C proximity ligation and optical maps. bioRxiv. 2019; 767764. https://doi.org/10.1101/767764

[79]

Díez MJ, Picó B, Nuez F. Cucurbit Genetic Resources in Europe: Ad Hoc Meeting held in Adana, Turkey, 19 January 2002. Rome: International Plant Genetic Resources Institute; 2002:

[80]

Vilanova S, Alonso D, Gramazio P. et al. SILEX: a fast and inexpensive high-quality DNA extraction method suitable for multiple sequencing platforms and recalcitrant plant species. Plant Methods. 2020; 16 :1-11

[81]

Chen S. Ultrafast one-pass FASTQ data preprocessing, quality control, and deduplication using fastp. iMeta. 2023; 2 :e107

[82]

Li H. (2013). Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM. arXiv [Preprint], 1303.3997 http://arxiv.org/abs/1303.3997

[83]

DePristo M, Banks E, Poplin R. et al. A framework for variation discovery and genotyping using next generation DNA sequencing data. Nat Genet. 2011; 43 :491-8

[84]

Danecek P, Bonfield JK, Liddle J. et al. Twelve years of SAMtools and BCFtools. Gigascience. 2021; 10 :giab008

[85]

Bradbury PJ, Zhang Z, Kroon DE. et al. TASSEL: software for association mapping of complex traits in diverse samples. Bioinformatics. 2007; 23 :2633-5

[86]

Troyanskaya O, Cantor M, Sherlock G. et al. Missing value estimation methods for DNA microarrays. Bioinformatics. 2001; 17 : 520-5

[87]

Cannon EKS, Cannon SB. Chromosome visualization tool: a whole genome viewer. Int J Plant Genomics. 2011; 2011 : 1-4

[88]

Wickham H. ggplot2: elegant graphics for data analysis. Media. 2009; 35 :10-1007

[89]

Wang J, Zhang Z. GAPIT version 3: boosting power and accuracy for genomic association and prediction. Genomics Proteomics Bioinformatics. 2021; 19 :629-40

[90]

Saitou N, Nei M. The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol. 1987; 4 : 406-25

[91]

Letunic I, Bork P. Interactive Tree of Life (iTOL) v4: recent updates and new developments. Nucleic Acids Res. 2019; 47 :W256-9

[92]

Pook T, Schlather M, De Los Campos G. et al. Haploblocker: creation of subgroup-specific haplotype blocks and libraries. Genetics. 2019; 212 :1045-61

[93]

Hochberg Y. A sharper Bonferroni procedure for multiple tests of significance. Biometrika. 1988; 75 :800-2

[94]

Revelle W. Psych: Procedures for Personality and Psychological Research. Evanston, IL, USA: Northwestern University; 2017:

[95]

Wei T, Simko V. R Package “Corrplot”: Visualization of a Correlation Matrix. R Core Team: Vienna, Austria; 2017:

[96]

Benjanmini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc. 1995; 57 :289-300

[97]

Holm S. A simple sequentially rejective multiple test procedure. Scand J Stat. 1979; 6 :65-70

[98]

Thissen D, Steinberg L, Kuang D. Quick and easy implementation of the Benjamini-Hochberg procedure for controlling the false positive rate in multiple comparisons. J Educ Behav Stat. 2002; 27 :77-83

[99]

Zhang D, Ai G, Ji K. et al. EARLY FLOWERING is a dominant gain-of-function allele of FANTASTIC FOUR 1/2c that promotes early flowering in tomato. Plant Biotechnol J. 2023; 22. https://doi.org/10.1111/pbi.14217

[100]

Gramazio P, Yan H, Hasing T. et al. Whole-genome resequencing of seven eggplant ( Solanum melongena ) and one wild relative ( S. incanum ) accessions provides new insights and breeding tools for eggplant enhancement. Front Plant Sci. 2019; 10 :1220

[101]

Robinson J, Thorvaldsdóttir H, Turner D. et al. igv. js: an embeddable JavaScript implementation of the Integrative Genomics Viewer (IGV). Bioinformatics. 2023; 39 :btac830

PDF (2052KB)

109

Accesses

0

Citation

Detail

Sections
Recommended

/