A Primer for Single-Cell Sequencing in Non-Model Organisms

被引:13
作者
Alfieri, James M. [1 ,2 ,3 ]
Wang, Guosong [4 ]
Jonika, Michelle M. [1 ,5 ]
Gill, Clare A. [4 ,5 ]
Blackmon, Heath [1 ,2 ,5 ]
Athrey, Giridhar N. [2 ,3 ]
机构
[1] Texas A&M Univ, Dept Biol, College Stn, TX 77843 USA
[2] Texas A&M Univ, Interdisciplinary Program Ecol & Evolutionary Bio, College Stn, TX 77843 USA
[3] Texas A&M Univ, Dept Poultry Sci, College Stn, TX 77843 USA
[4] Texas A&M Univ, Dept Anim Sci, College Stn, TX 77843 USA
[5] Texas A&M Univ, Interdisciplinary Program Genet & Genom, College Stn, TX 77843 USA
关键词
single-cell sequencing; non-model organism; ecology; evolution; animal science; RNA-SEQ; GENE-EXPRESSION; RECONSTRUCTION; AMPLIFICATION; WELL;
D O I
10.3390/genes13020380
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Single-cell sequencing technologies have led to a revolution in our knowledge of the diversity of cell types, connections between biological levels of organization, and relationships between genotype and phenotype. These advances have mainly come from using model organisms; however, using single-cell sequencing in non-model organisms could enable investigations of questions inaccessible with typical model organisms. This primer describes a general workflow for single-cell sequencing studies and considerations for using non-model organisms (limited to multicellular animals). Importantly, single-cell sequencing, when further applied in non-model organisms, will allow for a deeper understanding of the mechanisms between genotype and phenotype and the basis for biological variation.
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页数:11
相关论文
共 69 条
[11]  
Ding J, 2020, NAT BIOTECHNOL, V38, P737, DOI 10.1038/s41587-020-0465-8
[12]  
Dong X, 2017, NAT METHODS, V14, P491, DOI [10.1038/NMETH.4227, 10.1038/nmeth.4227]
[13]  
Duo Angelo, 2018, F1000Res, V7, P1141, DOI 10.12688/f1000research.15666.3
[14]   SPOTlight: seeded NMF regression to deconvolute spatial transcriptomics spots with single-cell transcriptomes [J].
Elosua-Bayes, Marc ;
Nieto, Paula ;
Mereu, Elisabetta ;
Gut, Ivo ;
Heyn, Holger .
NUCLEIC ACIDS RESEARCH, 2021, 49 (09) :E50
[15]   Applications of Single-Cell DNA Sequencing [J].
Evrony, Gilad D. ;
Hinch, Anjali Gupta ;
Luo, Chongyuan .
ANNUAL REVIEW OF GENOMICS AND HUMAN GENETICS, VOL 22, 2021, 2021, 22 :171-197
[16]   Cell type transcriptome atlas for the planarian Schmidtea mediterranea [J].
Fincher, Christopher T. ;
Wurtzel, Omri ;
de Hoog, Thom ;
Kravarik, Kellie M. ;
Reddien, Peter W. .
SCIENCE, 2018, 360 (6391)
[17]   Single-cell genome sequencing: current state of the science [J].
Gawad, Charles ;
Koh, Winston ;
Quake, Stephen R. .
NATURE REVIEWS GENETICS, 2016, 17 (03) :175-188
[18]   Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program [J].
Geirsdottir, Laufey ;
David, Eyal ;
Keren-Shaul, Hadas ;
Weiner, Assaf ;
Bohlen, Stefan Cornelius ;
Neuber, Jana ;
Balic, Adam ;
Giladi, Amir ;
Sheban, Fadi ;
Dutertre, Charles-Antoine ;
Pfeifle, Christine ;
Peri, Francesca ;
Raffo-Romero, Antonella ;
Vizioli, Jacopo ;
Matiasek, Kaspar ;
Scheiwe, Christian ;
Meckel, Stephan ;
Maetz-Rensing, Kerstin ;
van der Meer, Franziska ;
Thormodsson, Finnbogi Rutur ;
Stadelmann, Christine ;
Zilkha, Noga ;
Kimchi, Tali ;
Ginhoux, Florent ;
Ulitsky, Igor ;
Erny, Daniel ;
Amit, Ido ;
Prinz, Marco .
CELL, 2019, 179 (07) :1609-+
[19]   Seq-Well: portable, low-cost RNA sequencing of single cells at high throughput [J].
Gierahn, Todd M. ;
Wadsworth, Marc H., II ;
Hughes, Travis K. ;
Bryson, Bryan D. ;
Butler, Andrew ;
Satija, Rahul ;
Fortune, Sarah ;
Love, J. Christopher ;
Shalek, Alex K. .
NATURE METHODS, 2017, 14 (04) :395-+
[20]   Evolution of Sex Chromosome Dosage Compensation in Animals: A Beautiful Theory, Undermined by Facts and Bedeviled by Details [J].
Gu, Luiqi ;
Walters, James R. .
GENOME BIOLOGY AND EVOLUTION, 2017, 9 (09) :2461-2476