Investigation of Brassica and its relative genomes in the post-genomics era

Jian Wu , Jianli Liang , Runmao Lin , Xu Cai , Lei Zhang , Xinlei Guo , Tianpeng Wang , Haixu Chen , Xiaowu Wang

Horticulture Research ›› 2022, Vol. 9 ›› Issue (1) : uhac182

PDF (784KB)
Horticulture Research ›› 2022, Vol. 9 ›› Issue (1) :uhac182 DOI: 10.1093/hr/uhac182
Review Article
research-article
Investigation of Brassica and its relative genomes in the post-genomics era
Author information +
History +
PDF (784KB)

Abstract

The Brassicaceae family includes many economically important crop species, as well as cosmopolitan agricultural weed species. In addition, Arabidopsis thaliana, a member of this family, is used as a molecular model plant species. The genus Brassica is mesopolyploid, and the genus comprises comparatively recently originated tetrapolyploid species. With these characteristics, Brassicas have achieved the commonly accepted status of model organisms for genomic studies. This paper reviews the rapid research progress in the Brassicaceae family from diverse omics studies, including genomics, transcriptomics, epigenomics, and three-dimensional (3D) genomics, with a focus on cultivated crops. The morphological plasticity of Brassicaceae crops is largely due to their highly variable genomes. The origin of several important Brassicaceae crops has been established. Genes or loci domesticated or contributing to important traits are summarized. Epigenetic alterations and 3D structures have been found to play roles in subgenome dominance, either in tetraploid Brassica species or their diploid ancestors. Based on this progress, we propose future directions and prospects for the genomic investigation of Brassicaceae crops.

Cite this article

Download citation ▾
Jian Wu, Jianli Liang, Runmao Lin, Xu Cai, Lei Zhang, Xinlei Guo, Tianpeng Wang, Haixu Chen, Xiaowu Wang. Investigation of Brassica and its relative genomes in the post-genomics era. Horticulture Research, 2022, 9 (1) : uhac182 DOI:10.1093/hr/uhac182

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Francis A, Lujan-Toro BE, Warwick SI et al. Update on the Brassicaceae species checklist. Biodivers Data J. 2021; 9: e58773.

[2]

Wang X, Wang H, Wang J et al. The genome of the mesopolyploid crop species Brassica rapa . Nat Genet. 2011; 43: 1035-9.

[3]

Chalhoub B, Denoeud F, Liu S et al. Plant genetics. Early allopolyploid evolution in the post-Neolithic Brassica napus oilseed genome. Science. 2014; 345: 950-3.

[4]

Liu S, Liu Y, Yang X et al. The Brassica oleracea genome reveals the asymmetrical evolution of polyploid genomes. Nat Commun. 2014; 5: 3930.

[5]

Yang J, Liu D, Wang X et al. The genome sequence of allopolyploid Brassica juncea and analysis of differential homoeolog gene expression influencing selection. Nat Genet. 2016; 48: 1225-32.

[6]

Song X, Wei Y, Xiao D et al. Brassica carinata genome characterization clarifies U’s triangle model of evolution and polyploidy in brassica . Plant Physiol. 2021; 186: 388-406.

[7]

Yim WC, Swain ML, Ma D et al. The last missing piece of the Triangle of U: the evolution of the tetraploid Brassica carinata genome . Plant Cell. 2022;koac249.

[8]

Perumal S, Koh CS, Jin L et al. A high-contiguity Brassica nigra genome localizes active centromeres and defines the ancestral brassica genome . Nature Plants. 2020; 6: 929-41.

[9]

Cai X, Wu J, Liang J et al. Improved Brassica oleracea JZS assembly reveals significant changing of LTR-RT dynamics in different morphotypes. Theor Appl Genet. 2020; 133: 3187-99.

[10]

Zhang L, Cai X, Wu J et al. Improved Brassica rapa reference genome by single-molecule sequencing and chromosome conformation capture technologies. Hortic Res. 2018; 5: 50.

[11]

Song JM, Guan Z, Hu J et al. Eight high-quality genomes reveal pan-genome architecture and ecotype differentiation of Brassica napus . Nat Plants. 2020; 6: 34-45.

[12]

Chen X, Tong C, Zhang X et al. A high-quality Brassica napus genome reveals expansion of transposable elements, subgenome evolution and disease resistance. Plant Biotechnol J. 2021; 19: 615-30.

[13]

Lin MY, Koppers N, Denton A et al. Whole genome sequencing and assembly data of Moricandia moricandioides and M. arvensis. Data Brief. 2021;35:106922.

[14]

Alabi N, Wu Y, Bossdorf O et al. Genome report: a draft genome of Alliaria petiolata (garlic mustard) as a model system for invasion genetics. G3 (Bethesda). 2021; 11.

[15]

Huang C, Ying H, Yang X et al. The Cardamine enshiensis genome reveals whole genome duplication and insight into selenium hyperaccumulation and tolerance. Cell Discov. 2021; 7: 62.

[16]

Rellstab C, Zoller S, Sailer C et al. Genomic signatures of convergent adaptation to Alpine environments in three Brassicaceae species. Mol Ecol. 2020; 29: 4350-65.

[17]

Huang L, Ma Y, Jiang J et al. A chromosome-scale reference genome of Lobularia maritima, an ornamental plant with high stress tolerance. Hortic Res. 2020; 7: 197.

[18]

Hu Q, Ma Y, Mandáková T et al. Genome evolution of the psammophyte Pugionium for desert adaptation and further speciation. Proc Natl Acad Sci USA. 2021; 118: e2025711118.

[19]

Nowak MD, Birkeland S, Mandáková T et al. The genome of Draba nivalis shows signatures of adaptation to the extreme environmental stresses of the Arctic. Mol Ecol Resour. 2021; 21: 661-76.

[20]

Mishra B, Ploch S, Runge F et al. The genome of Microthlaspi erraticum (Brassicaceae) provides insights into the adaptation to highly calcareous soils. Front Plant Sci. 2020; 11: 943.

[21]

Kang M, Wu H, Yang Q et al. A chromosome-scale genome assembly of Isatis indigotica, an important medicinal plant used in traditional Chinese medicine: An Isatis genome. Hortic Res. 2020; 7: 18.

[22]

Yang W, Zhang L, Mandáková T et al. The chromosome-level genome sequence and karyotypic evolution of Megadenia pygmaea (Brassicaceae). Mol Ecol Resour. 2021; 21: 871-9.

[23]

Yang Q, Bi H, Yang W et al. The genome sequence of Alpine Megacarpaea delavayi identifies species-specific whole-genome duplication. Front Genet. 2020; 11: 812.

[24]

Bell L, Chadwick M, Puranik M et al. The Eruca sativa genome and Transcriptome: a targeted analysis of Sulfur metabolism and Glucosinolate biosynthesis pre and postharvest. Front Plant Sci. 2020; 11: 525102.

[25]

Weigel D, Mott R . The 1001 genomes project for Arabidopsis thaliana . Genome Biol. 2009; 10: 107.

[26]

Alonso-Blanco C, Andrade J, Becker C et al. 1, 135 genomes reveal the global pattern of polymorphism in Arabidopsis thaliana . Cell. 2016; 166: 481-91.

[27]

Cai X, Chang L, Zhang T et al. Impacts of allopolyploidization and structural variation on intraspecific diversification in Brassica rapa . Genome Biol. 2021; 22: 166.

[28]

Cheng F, Sun R, Hou X et al. Subgenome parallel selection is associated with morphotype diversification and convergent crop domestication in Brassica rapa and Brassica oleracea . Nat Genet. 2016; 48: 1218-24.

[29]

Kang L, Qian L, Zheng M et al. Genomic insights into the origin, domestication and diversification of Brassica juncea. Nat Genet. 2021; 53: 1392-402.

[30]

Lu K, Wei L, Li X et al. Whole-genome resequencing reveals Brassica napus origin and genetic loci involved in its improvement. Nat Commun. 2019; 10: 1154.

[31]

Wu D, Liang Z, Yan T et al. Whole-genome Resequencing of a worldwide collection of rapeseed accessions reveals the genetic basis of ecotype divergence. Mol Plant. 2019; 12: 30-43.

[32]

Zhang X, Liu T, Wang J et al. Pan-genome of Raphanus highlights genetic variation and introgression among domesticated, wild, and weedy radishes. Mol Plant. 2021; 14: 2032-55.

[33]

Golicz AA, Bayer PE, Barker GC et al. The pangenome of an agronomically important crop plant Brassica oleracea . Nat Commun. 2016; 7: 13390.

[34]

Cheng F, Wu J, Wang X . Genome triplication drove the diversification of Brassica plants. Hortic Res. 2014; 1: 14024.

[35]

Sun X, Li X, Lu Y et al. Construction of a high-density mutant population of Chinese cabbage facilitates the genetic dissection of agronomic traits. Mol Plant. 2022; 15: 913-24.

[36]

Guo N, Wang S, Gao L et al. Genome sequencing sheds light on the contribution of structural variants to Brassica oleracea diversification. BMC Biol. 2021; 19: 93.

[37]

Helal M, Gill RA, Tang M et al. SNP- and haplotype-based GWAS of flowering-related traits in Brassica napus . Plants (Basel). 2021; 10: 2475.

[38]

Körber N, Bus A, Li J et al. Agronomic and seed quality traits dissected by genome-wide association mapping in Brassica napus . Front Plant Sci. 2016; 7: 386.

[39]

Lu K, Xiao Z, Jian H et al. A combination of genome-wide association and transcriptome analysis reveals candidate genes controlling harvest index-related traits in Brassica napus . Sci Rep. 2016; 6: 36452.

[40]

Sun F, Liu J, Hua W et al. Identification of stable QTLs for seed oil content by combined linkage and association mapping in Brassica napus . Plant Sci. 2016; 252: 388-99.

[41]

Hu J, Chen B, Zhao J et al. Genomic selection and genetic architecture of agronomic traits during modern rapeseed breeding. Nat Genet. 2022; 54: 694-704.

[42]

Tang S, Zhao H, Lu S et al. Genome- and transcriptome-wide association studies provide insights into the genetic basis of natural variation of seed oil content in Brassica napus . Mol Plant. 2021; 14: 470-87.

[43]

Su T, Wang W, Li P et al. A genomic variation map provides insights into the genetic basis of spring Chinese cabbage (Brassica rapa ssp. pekinensis) selection. Mol Plant. 2018; 11: 1360-76.

[44]

Liu J, Cai X, Li Y et al. Selection on BrFLC1 is related to intraspecific diversity of Brassica rapa vegetables . Horticulturae. 2021; 7: 247.

[45]

Yuan YX, Wu J, Sun RF et al. A naturally occurring splicing site mutation in the Brassica rapa FLC1 gene is associated with variation in flowering time. J Exp Bot. 2009; 60: 1299-308.

[46]

Jiao WB, Schneeberger K . Chromosome-level assemblies of multiple Arabidopsis genomes reveal hotspots of rearrangements with altered evolutionary dynamics. Nat Commun. 2020; 11: 989.

[47]

De Coster W, Weissensteiner MH, Sedlazeck FJ . Towards population-scale long-read sequencing. Nat Rev Genet. 2021; 22: 572-87.

[48]

Della Coletta R, Qiu Y, Ou S et al. How the pan-genome is changing crop genomics and improvement. Genome Biol. 2021; 22: 3.

[49]

Cai X, Lin R, Liang J et al. Transposable element insertion: a hidden major source of domesticated phenotypic variation in Brassica rapa . Plant Biotechnol J. 2022; 20: 1298-310.

[50]

He Z, Ji R, Havlickova L et al. Genome structural evolution in brassica crops. Nat Plants. 2021; 7: 757-65.

[51]

Cheng F, Wu J, Fang L et al. Biased gene fractionation and dominant gene expression among the subgenomes of Brassica rapa . PLoS One. 2012; 7: e36442.

[52]

Gaeta RT, Chris Pires J . Homoeologous recombination in allopolyploids: the polyploid ratchet. New Phytol. 2010; 186: 18-28.

[53]

Lloyd A, Blary A, Charif D et al. Homoeologous exchanges cause extensive dosage-dependent gene expression changes in an allopolyploid crop. New Phytol. 2018; 217: 367-77.

[54]

Hurgobin B, Golicz AA, Bayer PE et al. Homoeologous exchange is a major cause of gene presence/absence variation in the amphidiploid Brassica napus . Plant Biotechnol J. 2018; 16: 1265-74.

[55]

Schiessl SV, Katche E, Ihien E et al. The role of genomic structural variation in the genetic improvement of polyploid crops. Crop J. 2019; 7: 127-40.

[56]

Bertioli DJ, Jenkins J, Clevenger J et al. The genome sequence of segmental allotetraploid peanut Arachis hypogaea. Nat Genet. 2019; 51: 877-84.

[57]

Zhang Z, Gou X, Xun H et al. Homoeologous exchanges occur through intragenic recombination generating novel transcripts and proteins in wheat and other polyploids. Proc Natl Acad Sci U S A. 2020; 117: 14561-71.

[58]

Wu Y, Lin F, Zhou Y et al. Genomic mosaicism due to homoeologous exchange generates extensive phenotypic diversity in nascent allopolyploids. Natl Sci Rev. 2021; 8: nwaa277.

[59]

Henry IM, Dilkes BP, Tyagi A et al. The BOY NAMED SUE quantitative trait locus confers increased meiotic stability to an adapted natural allopolyploid of Arabidopsis . Plant Cell. 2014; 26: 181-94.

[60]

Song K, Lu P, Tang K et al. Rapid genome change in synthetic polyploids of Brassica and its implications for polyploid evolution. Proc Natl Acad Sci U S A. 1995; 92: 7719-23.

[61]

Schranz ME, Osborn TC . De novo variation in life-history traits and responses to growth conditions of resynthesized polyploid Brassica napus (Brassicaceae) . Am J Bot. 2004; 91: 174-83.

[62]

PIRES JC, ZHAO J, SCHRANZ ME et al. Flowering time divergence and genomic rearrangements in resynthesized brassica polyploids (Brassicaceae) . Biol J Linn Soc. 2004; 82: 675-88.

[63]

Gaeta RT, Pires JC, Iniguez-Luy F et al. Genomic changes in resynthesized Brassica napus and their effect on gene expression and phenotype. Plant Cell. 2007; 19: 3403-17.

[64]

He Z, Wang L, Harper AL et al. Extensive homoeologous genome exchanges in allopolyploid crops revealed by mRNAseq-based visualization. Plant Biotechnol J. 2017; 15: 594-604.

[65]

Higgins EE, Clarke WE, Howell EC et al. Detecting de novo Homoeologous recombination events in cultivated Brassica napus using a genome-wide SNP Array . G3 (Bethesda). 2018; 8: 2673-83.

[66]

Stein A, Coriton O, Rousseau-Gueutin M et al. Mapping of homoeologous chromosome exchanges influencing quantitative trait variation in Brassica napus . Plant Biotechnol J. 2017; 15: 1478-89.

[67]

Schiessl S, Huettel B, Kuehn D et al. Post-polyploidisation morphotype diversification associates with gene copy number variation. Sci Rep. 2017; 7: 41845.

[68]

Gonzalo A, Lucas MO, Charpentier C et al. Reducing MSH4 copy number prevents meiotic crossovers between non-homologous chromosomes in Brassica napus . Nat Commun. 2019; 10: 2354.

[69]

Higgins EE, Howell EC, Armstrong SJ et al. A major quantitative trait locus on chromosome A9, Bna Ph1, controls homoeologous recombination in Brassica napus . New Phytol. 2021; 229: 3281-93.

[70]

Sourdille P, Jenczewski E . Homoeologous exchanges in allopolyploids: how Brassica napus established self-control. New Phytol. 2021; 229: 3041-3.

[71]

Ferreira de Carvalho J, Stoeckel S, Eber F et al. Untangling structural factors driving genome stabilization in nascent Brassica napus allopolyploids. New Phytol. 2021; 230: 2072-84.

[72]

McAlvay AC, Ragsdale AP, Mabry ME et al. Brassica rapa domestication: untangling wild and feral forms and convergence of crop Morphotypes . Mol Biol Evol. 2021; 38: 3358-72.

[73]

Song K, Osborn TC, Williams PH . Brassica taxonomy based on nuclear restriction fragment length polymorphisms (RFLPs): 3. Genome relationships in brassica and related genera and the origin of B. oleracea and B. rapa (syn. Campestns). Theor Appl Genet. 1990; 79: 497-506.

[74]

Warwick SI . Brassicaceae in Agriculture. In: Schmidt R, Bancroft I, eds. Genetics and Genomics of the Brassicaceae.New York: Springer, 2011, 33-65.

[75]

Mabry ME, Turner-Hissong SD, Gallagher EY et al. The evolutionary history of wild, domesticated, and feral Brassica oleracea (Brassicaceae). Mol Biol Evol. 2021; 38: 4419-34.

[76]

S, G.O.-C.C.P. Origin and domestication. Dev Plant Genet Breed. 1999; 4: 25.

[77]

Heslop-Harrison P. Genetics, genomics and breeding of oilseed brassicas. Ann Bot. 2013; 112: vi-i.

[78]

Qian W, Meng J, Li M et al. Introgression of genomic components from Chinese Brassica rapa contributes to widening the genetic diversity in rapeseed (B. napus L.), with emphasis on the evolution of Chinese rapeseed. Theor Appl Genet. 2006; 113: 49-54.

[79]

Dogan ES, Liu C . Three-dimensional chromatin packing and positioning of plant genomes. Nat Plants. 2018; 4: 521-9.

[80]

Goldberg AD, Allis CD, Bernstein E . Epigenetics: a landscape takes shape. Cell. 2007; 128: 635-8.

[81]

Kawakatsu T, Huang SSC, Jupe F et al. Epigenomic diversity in a global collection of Arabidopsis thaliana accessions. Cell. 2016; 166: 492-505.

[82]

Cokus SJ, Feng S, Zhang X et al. Shotgun bisulphite sequencing of the Arabidopsis genome reveals DNA methylation patterning. Nature. 2008; 452: 215-9.

[83]

Chen X, Ge X, Wang J et al. Genome-wide DNA methylation profiling by modified reduced representation bisulfite sequencing in Brassica rapa suggests that epigenetic modifications play a key role in polyploid genome evolution. Front Plant Sci. 2015; 6: 836.

[84]

Parkin IAP, Koh C, Tang H et al. Transcriptome and methylome profiling reveals relics of genome dominance in the mesopolyploid Brassica oleracea . Genome Biol. 2014; 15: R77.

[85]

Mehraj H, Takahashi S, Miyaji N et al. Characterization of histone H3 lysine 4 and 36 tri-methylation in Brassica rapa L. Front Plant Sci. 2021; 12: 659634.

[86]

Akter A, Takahashi S, Deng W et al. The histone modification H3 lysine 27 tri-methylation has conserved gene regulatory roles in the triplicated genome of Brassica rapa L. DNA Res. 2019; 26: 433-43.

[87]

Paya-Milans M, Poza-Viejo L, Martin-Uriz PS et al. Genome-wide analysis of the H3K27me3 epigenome and transcriptome in Brassica rapa . Gigascience. 2019; 8: giz147.

[88]

Cheng F, Sun C, Wu J et al. Epigenetic regulation of subgenome dominance following whole genome triplication in Brassica rapa . New Phytol. 2016; 211: 288-99.

[89]

Woodhouse MR, Cheng F, Pires JC et al. Origin, inheritance, and gene regulatory consequences of genome dominance in polyploids. Proc Natl Acad Sci USA. 2014; 111: 5283-8.

[90]

Braszewska-Zalewska A, Bernas T, Maluszynska J . Epigenetic chromatin modifications in brassica genomes. Genome. 2010; 53: 203-10.

[91]

Zhang Q, Guan P, Zhao L et al. Asymmetric epigenome maps of subgenomes reveal imbalanced transcription and distinct evolutionary trends in Brassica napus . Mol Plant. 2021; 14: 604-19.

[92]

Lukens LN, Pires JC, Leon E et al. Patterns of sequence loss and cytosine methylation within a population of newly resynthesized Brassica napus allopolyploids. Plant Physiol. 2006; 140: 336-48.

[93]

Yin L, Zhu Z, Huang L et al. DNA repair- and nucleotide metabolism-related genes exhibit differential CHG methylation patterns in natural and synthetic polyploids (Brassica napus L.) . Hortic Res. 2021; 8: 142.

[94]

Grob S, Schmid MW, Grossniklaus U . Hi-C analysis in Arabidopsis identifies the KNOT, a structure with similarities to the flamenco locus of drosophila. Mol Cell. 2014; 55: 678-93.

[95]

Xie T, Zhang FG, Zhang HY et al. Biased gene retention during diploidization in brassica linked to three-dimensional genome organization. Nat Plants. 2019; 5: 822-32.

[96]

Feng S, Cokus SJ, Schubert V et al. Genome-wide hi-C analyses in wild-type and mutants reveal high-resolution chromatin interactions in Arabidopsis . Mol Cell. 2014; 55: 694-707.

[97]

Liu C, Wang C, Wang G et al. Genome-wide analysis of chromatin packing in Arabidopsis thaliana at single-gene resolution. Genome Res. 2016; 26: 1057-68.

[98]

Grob S, Grossniklaus U . Invasive DNA elements modify the nuclear architecture of their insertion site by KNOT-linked silencing in Arabidopsis thaliana . Genome Biol. 2019; 20: 120.

[99]

Crevillen P, Sonmez C, Wu Z et al. A gene loop containing the floral repressor FLC is disrupted in the early phase of vernalization. EMBO J. 2013; 32: 140-8.

[100]

Stark R, Grzelak M, Hadfield J . RNA sequencing: the teenage years. Nat Rev Genet. 2019; 20: 631-56.

[101]

Wang Z, Gerstein M, Snyder M . RNA-Seq: a revolutionary tool for transcriptomics. Nat Rev Genet. 2009; 10: 57-63.

[102]

Ziegler DJ, Khan D, Kalichuk JL et al. Transcriptome landscape of the early Brassica napus seed. J Integr Plant Biol. 2019; 61: 639-50.

[103]

Sun X, Basnet RK, Yan Z et al. Genome-wide transcriptome analysis reveals molecular pathways involved in leafy head formation of Chinese cabbage (Brassica rapa) . Hortic Res. 2019; 6: 130.

[104]

Greenham K, Guadagno CR, Gehan MA et al. Temporal network analysis identifies early physiological and transcriptomic indicators of mild drought in Brassica rapa . elife. 2017; 6: e29655.

[105]

Bhardwaj AR, Joshi G, Kukreja B et al. Global insights into high temperature and drought stress regulated genes by RNA-Seq in economically important oilseed crop Brassica juncea . BMC Plant Biol. 2015; 15: 9.

[106]

Zhang X, Liu Y, Fang Z et al. Comparative transcriptome analysis between broccoli (Brassica oleracea var. italica) and wild cabbage (Brassica macrocarpa Guss.) in response to Plasmodiophora brassicae during different infection stages. Front Plant Sci. 2016; 7: 1929.

[107]

Shah S, Weinholdt C, Jedrusik N et al. Whole-transcriptome analysis reveals genetic factors underlying flowering time regulation in rapeseed (Brassica napus L.). Plant Cell Environ. 2018; 41: 1935-47.

[108]

Du L, Li C, Su R et al. Transcriptome profiling reveals candidate genes involved in stem swelling of tumorous stem mustard. Hortic Plant J. 2020; 6: 158-66.

[109]

Parkin IA, Koh C, Tang H et al. Transcriptome and methylome profiling reveals relics of genome dominance in the mesopolyploid Brassica oleracea . Genome Biol. 2014; 15: R77.

[110]

Bancroft I, Morgan C, Fraser F et al. Dissecting the genome of the polyploid crop oilseed rape by transcriptome sequencing. Nat Biotechnol. 2011; 29: 762-6.

[111]

Harper AL, Trick M, Higgins J et al. Associative transcriptomics of traits in the polyploid crop species Brassica napus . Nat Biotechnol. 2012; 30: 798-802.

[112]

An H, Qi X, Gaynor ML et al. Transcriptome and organellar sequencing highlights the complex origin and diversification of allotetraploid Brassica napus . Nat Commun. 2019; 10: 2878.

[113]

Chen X, Teichmann SA, Meyer KB . From tissues to cell types and Back: single-cell gene expression analysis of tissue architecture. Annu. Rev. Biomed. Data Sci. 2018; 1: 29-51.

[114]

Kerk NM, Ceserani T, Tausta SL et al. Laser capture microdissection of cells from plant tissues. Plant Physiol. 2003; 132: 27-35.

[115]

Osaka M, Matsuda T, Sakazono S et al. Cell type-specific Transcriptome of Brassicaceae stigmatic papilla cells from a combination of laser microdissection and RNA sequencing. Plant Cell Physiol. 2013; 54: 1894-906.

[116]

Chan AC, Khan D, Girard IJ et al. Tissue-specific laser microdissection of the Brassica napus funiculus improves gene discovery and spatial identification of biological processes. J Exp Bot. 2016; 67: 3561-71.

[117]

Hoang NV, Choe G, Zheng Y et al. Identification of conserved gene-regulatory networks that integrate environmental sensing and growth in the root cambium. Curr Biol. 2020; 30: 2887-2900.e7.

[118]

Shaw R, Tian X, Xu J . Single-cell Transcriptome analysis in plants: advances and challenges. Mol Plant. 2021; 14: 115-26.

[119]

Seyfferth C, Renema J, Wendrich JR et al. Advances and opportunities in single-cell transcriptomics for plant research. Annu Rev Plant Biol. 2021; 72: 847-66.

[120]

Ryu KH, Zhu Y, Schiefelbein J . Plant cell identity in the era of single-cell transcriptomics. Annu Rev Genet. 2021; 55: 479-96.

[121]

Rich-Griffin C, Stechemesser A, Finch J et al. Single-cell transcriptomics: a high-resolution avenue for plant functional genomics. Trends Plant Sci. 2020; 25: 186-97.

[122]

Rhee SY, Birnbaum KD, Ehrhardt DW . Towards building a plant cell atlas. Trends Plant Sci. 2019; 24: 303-10.

[123]

Zhang X, Li T, Liu F et al. Comparative analysis of droplet-based ultra-high-throughput single-cell RNA-seq systems. Mol Cell. 2019; 73: 130-142.e5.

[124]

Stegle O, Teichmann SA, Marioni JC . Computational and analytical challenges in single-cell transcriptomics. Nat Rev Genet. 2015; 16: 133-45.

[125]

Denyer T, Ma X, Klesen S et al. Spatiotemporal developmental trajectories in the Arabidopsis root revealed using high-throughput single-cell RNA sequencing. Dev Cell. 2019; 48: 840-852.e5.

[126]

Farmer A, Thibivilliers S, Ryu KH et al. Single-nucleus RNA and ATAC sequencing reveals the impact of chromatin accessibility on gene expression in Arabidopsis roots at the single-cell level. Mol Plant. 2021; 14: 372-83.

[127]

Gala HP, Lanctot A, Jean-Baptiste K et al. A single-cell view of the transcriptome during lateral root initiation in Arabidopsis thaliana . Plant Cell. 2021; 33: 2197-220.

[128]

Jean-Baptiste K, McFaline-Figueroa JL, Alexandre CM et al. Dynamics of gene expression in single root cells of Arabidopsis thaliana . Plant Cell. 2019; 31: 993-1011.

[129]

Long Y, Liu Z, Jia J et al. Flsn RNA-seq: protoplasting-free full-length single-nucleus RNA profiling in plants. Genome Biol. 2021; 22: 66.

[130]

Ryu KH, Huang L, Kang HM et al. Single-cell RNA sequencing resolves molecular relationships among individual plant cells. Plant Physiol. 2019; 179: 1444-56.

[131]

Shahan R, Hsu CW, Nolan TM et al. A single cell Arabidopsis root atlas reveals developmental trajectories in wild type and cell identity mutants. Dev Cell. 2022; 57: 543-60.

[132]

Shulse CN, Cole BJ, Ciobanu D et al. High-throughput single-cell transcriptome profiling of plant cell types. Cell Rep. 2019; 27: 2241-2247.e4.

[133]

Wendrich JR, Yang BJ, Vandamme N et al. Vascular transcription factors guide plant epidermal responses to limiting phosphate conditions. Science. 2020; 370: eaay4970.

[134]

Zhang TQ, Xu ZG, Shang GD et al. A single-cell RNA sequencing profiles the developmental landscape of Arabidopsis root. Mol Plant. 2019; 12: 648-60.

[135]

Coate JE, Farmer AD, Schiefelbein JW et al. Expression partitioning of duplicate genes at single cell resolution in Arabidopsis roots. Front Genet. 2020; 11: 596150.

[136]

Turco GM, Rodriguez-Medina J, Siebert S et al. Molecular mechanisms driving switch behavior in xylem cell differentiation. Cell Rep. 2019; 28: 342-351.e4.

[137]

Roszak P, Heo JO, Blob B et al. Cell-by-cell dissection of phloem development links a maturation gradient to cell specialization. Science. 2021; 374: eaba5531.

[138]

Sunaga-Franze DY, Muino JM, Braeuning C et al. Single-nucleus RNA sequencing of plant tissues using a nanowell-based system. Plant J. 2021; 108: 859-69.

[139]

Zhang TQ, Chen Y, Wang JW . A single-cell analysis of the Arabidopsis vegetative shoot apex. Dev Cell. 2021; 56: 1056-1074.e8.

[140]

Kim JY, Symeonidi E, Pang TY et al. Distinct identities of leaf phloem cells revealed by single cell transcriptomics. Plant Cell. 2021; 33: 511-30.

[141]

Liu Z, Zhou Y, Guo J et al. Global dynamic molecular profiling of stomatal lineage cell development by single-cell RNA sequencing. Mol Plant. 2020; 13: 1178-93.

[142]

Lopez-Anido CB, Vatén A, Smoot NK et al. Single-cell resolution of lineage trajectories in the Arabidopsis stomatal lineage and developing leaf. Dev Cell. 2021; 56: 1043-1055.e4.

[143]

Picard CL, Povilus RA, Williams BP et al. Single nucleus analysis of Arabidopsis seeds reveals new cell types and imprinting dynamics. bioRxiv. 2020.

[144]

Liu Q, Liang Z, Feng D et al. Transcriptional landscape of rice roots at the single-cell resolution. Mol Plant. 2021; 14: 384-94.

[145]

Rao A, Barkley D, Franca GS et al. Exploring tissue architecture using spatial transcriptomics. Nature. 2021; 596: 211-20.

[146]

Xia K, Sun HX, Li J et al. Single-cell stereo-seq enables cell type-specific spatial transcriptome characterization in Arabidopsis leaves. Dev Cell. 2022; 57: 1299-310.

[147]

Huala E, Dickerman AW, Garcia-Hernandez M et al. The Arabidopsis information resource (TAIR): a comprehensive database and web-based information retrieval, analysis, and visualization system for a model plant. Nucleic Acids Res. 2001; 29: 102-5.

[148]

Chen H, Wang T, He X et al. BRAD V3.0: an upgraded Brassicaceae database. Nucleic Acids Res. 2022; 50: D1432-41.

[149]

Song JM, Liu DX, Xie WZ et al. BnPIR: Brassica napus pan-genome information resource for 1689 accessions. Plant Biotechnol J. 2021; 19: 412-4.

[150]

Chao H, Li T, Luo C et al. BrassicaEDB: a gene expression database for Brassica crops. Int J Mol Sci. 2020; 21: 5831.

[151]

Yan T, Yao Y, Wu D et al. BnaGVD: a genomic variation database of rapeseed (Brassica napus) . Plant Cell Physiol. 2021; 62: 378-83.

[152]

Kiefer M, Schmickl R, German DA et al. Brassi Base: introduction to a novel knowledge database on Brassicaceae evolution. Plant Cell Physiol. 2014; 55: e3.

[153]

Van Bel M, Diels T, Vancaester E et al. PLAZA 4.0: an integrative resource for functional, evolutionary and comparative plant genomics. Nucleic Acids Res. 2018; 46: D1190-6.

[154]

Gao Y, Yang Z, Yang W et al. Plant-imputeDB: an integrated multiple plant reference panel database for genotype imputation. Nucleic Acids Res. 2021; 49: D1480-8.

[155]

Tian D, Wang P, Tang B et al. GWAS Atlas: a curated resource of genome-wide variant-trait associations in plants and animals. Nucleic Acids Res. 2020; 48: D927-32.

[156]

Jumper J, Evans R, Pritzel A et al. Highly accurate protein structure prediction with AlphaFold. Nature. 2021; 596: 583-9.

[157]

Baek M, DiMaio F, Anishchenko I et al. Accurate prediction of protein structures and interactions using a three-track neural network. Science. 2021; 373: 871-6.

[158]

Wu J, Wei K, Cheng F et al. A naturally occurring InDel variation in BraA.FLC.b (BrFLC2) associated with flowering time variation in Brassica rapa . BMC Plant Biol. 2012; 12: 151.

[159]

Liu Z, Liang J, Zheng S et al. Enriching Glucoraphanin in Brassica rapa through replacement of BrAOP2.2/BrAOP2.3 with non-functional genes. Front Plant Sci. 2017; 8: 1329.

[160]

Cheng F, Liang J, Cai C et al. Genome sequencing supports a multi-vertex model for Brassiceae species. Curr Opin Plant Biol. 2017; 36: 79-87.

PDF (784KB)

41

Accesses

0

Citation

Detail

Sections
Recommended

/