Chromosome-Level Assembly of the Caenorhabditis remanei Genome Reveals Conserved Patterns of Nematode Genome Organization

被引:21
作者
Teterina, Anastasia A. [1 ,2 ]
Willis, John H. [1 ]
Phillips, Patrick C. [1 ]
机构
[1] Univ Oregon, Inst Ecol & Evolut, Eugene, OR 97403 USA
[2] Russian Acad Sci, AN Severtsov Inst Ecol & Evolut, Ctr Parasitol, Moscow 117071, Russia
基金
美国国家卫生研究院;
关键词
Caenorhabditis remanei; Caenorhabditis elegans; chromosome-level assembly; comparative genomics; PHENOTYPIC PLASTICITY; STRESS RESISTANCE; EVOLUTION; SELECTION; ELEGANS; DNA; SEQUENCE; RNA; RECOMBINATION; POPULATION;
D O I
10.1534/genetics.119.303018
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
The nematode Caenorhabditis elegans is one of the key model systems in biology, including possessing the first fully assembled animal genome. Whereas C. elegans is a self-reproducing hermaphrodite with fairly limited within-population variation, its relative C. remanei is an outcrossing species with much more extensive genetic variation, making it an ideal parallel model system for evolutionary genetic investigations. Here, we greatly improve on previous assemblies by generating a chromosome-level assembly of the entire C. remanei genome (124.8 Mb of total size) using long-read sequencing and chromatin conformation capture data. Like other fully assembled genomes in the genus, we find that the C. remanei genome displays a high degree of synteny with C. elegans despite multiple within-chromosome rearrangements. Both genomes have high gene density in central regions of chromosomes relative to chromosome ends and the opposite pattern for the accumulation of repetitive elements. C. elegans and C. remanei also show similar patterns of interchromosome interactions, with the central regions of chromosomes appearing to interact with one another more than the distal ends. The new C. remanei genome presented here greatly augments the use of the Caenorhabditis as a platform for comparative genomics and serves as a basis for molecular population genetics within this highly diverse species. Caenorhabditis is a group of nematodes that contains the important model organism C. elegans. Several chromosome-level genome assemblies exist for species within this group, but it has been a challenge to fully assemble the genome...
引用
收藏
页码:769 / 780
页数:12
相关论文
共 111 条
[71]   Comparative genomics of nematodes [J].
Mitreva, M ;
Blaxter, ML ;
Bird, DM ;
McCarter, JP .
TRENDS IN GENETICS, 2005, 21 (10) :573-581
[72]   A TEST FOR THE ROLE OF NATURAL-SELECTION IN THE STABILIZATION OF TRANSPOSABLE ELEMENT COPY NUMBER IN A POPULATION OF DROSOPHILA-MELANOGASTER [J].
MONTGOMERY, E ;
CHARLESWORTH, B ;
LANGLEY, CH .
GENETICS RESEARCH, 1987, 49 (01) :31-41
[73]  
Navarro D., 2013, Learning statistics with R: A tutorial for psychology students and other beginners: Version 0.5
[74]   Spatial organization of genes as a component of regulated expression [J].
Pai, Dave A. ;
Engelke, David R. .
CHROMOSOMA, 2010, 119 (01) :13-25
[75]   Evolution of the control of sexual identity in nematodes [J].
Pires-daSilva, Andre .
SEMINARS IN CELL & DEVELOPMENTAL BIOLOGY, 2007, 18 (03) :362-370
[76]   Intron size correlates positively with recombination rate in Caenorhabditis elegans [J].
Prachumwat, A ;
DeVincentis, L ;
Palopoli, MF .
GENETICS, 2004, 166 (03) :1585-1590
[77]   Chromosome-scale shotgun assembly using an in vitro method for long-range linkage [J].
Putnam, Nicholas H. ;
O'Connell, Brendan L. ;
Stites, Jonathan C. ;
Rice, Brandon J. ;
Blanchette, Marco ;
Calef, Robert ;
Troll, Christopher J. ;
Fields, Andrew ;
Hartley, Paul D. ;
Sugnet, Charles W. ;
Haussler, David ;
Rokhsar, Daniel S. ;
Green, Richard E. .
GENOME RESEARCH, 2016, 26 (03) :342-350
[78]   InterProScan: protein domains identifier [J].
Quevillon, E ;
Silventoinen, V ;
Pillai, S ;
Harte, N ;
Mulder, N ;
Apweiler, R ;
Lopez, R .
NUCLEIC ACIDS RESEARCH, 2005, 33 :W116-W120
[79]   BEDTools: a flexible suite of utilities for comparing genomic features [J].
Quinlan, Aaron R. ;
Hall, Ira M. .
BIOINFORMATICS, 2010, 26 (06) :841-842
[80]  
R Core Team, 2019, R: A language and environment for statistical computing