Reconstruction of avian ancestral karyotypes reveals differences in the evolutionary history of macro- and microchromosomes.
Reconstruction of avian ancestral karyotypes reveals differences in the evolutionary history of macro- and microchromosomes.
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DOI:
10.1186/s13059-018-1544-8
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发表时间:
2018-10-05
期刊:
影响因子:
12.3
通讯作者:
Larkin DM
中科院分区:
文献类型:
--
作者:
Damas J;Kim J;Farré M;Griffin DK;Larkin DM
Reconstruction of ancestral karyotypes is critical for our understanding of genome evolution, allowing for the identification of the gross changes that shaped extant genomes. The identification of such changes and their time of occurrence can shed light on the biology of each species, clade and their evolutionary history. However, this is impeded by both the fragmented nature of the majority of genome assemblies and the limitations of the available software to work with them. These limitations are particularly apparent in birds, with only 10 chromosome-level assemblies reported thus far. Algorithmic approaches applied to fragmented genome assemblies can nonetheless help define patterns of chromosomal change in defined taxonomic groups. Here, we make use of the DESCHRAMBLER algorithm to perform the first large-scale study of ancestral chromosome structure and evolution in birds. This algorithm allows us to reconstruct the overall genome structure of 14 key nodes of avian evolution from the Avian ancestor to the ancestor of the Estrildidae, Thraupidae and Fringillidae families. Analysis of these reconstructions provides important insights into the variability of rearrangement rates during avian evolution and allows the detection of patterns related to the chromosome distribution of evolutionary breakpoint regions. Moreover, the inclusion of microchromosomes in our reconstructions allows us to provide novel insights into the evolution of these avian chromosomes, specifically. The online version of this article (10.1186/s13059-018-1544-8) contains supplementary material, which is available to authorized users.
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DOI:
10.1126/science.1253451
发表时间:
2014-12-12
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Jarvis ED;Mirarab S;Aberer AJ;Li B;Houde P;Li C;Ho SY;Faircloth BC;Nabholz B;Howard JT;Suh A;Weber CC;da Fonseca RR;Li J;Zhang F;Li H;Zhou L;Narula N;Liu L;Ganapathy G;Boussau B;Bayzid MS;Zavidovych V;Subramanian S;Gabaldón T;Capella-Gutiérrez S;Huerta-Cepas J;Rekepalli B;Munch K;Schierup M;Lindow B;Warren WC;Ray D;Green RE;Bruford MW;Zhan X;Dixon A;Li S;Li N;Huang Y;Derryberry EP;Bertelsen MF;Sheldon FH;Brumfield RT;Mello CV;Lovell PV;Wirthlin M;Schneider MP;Prosdocimi F;Samaniego JA;Vargas Velazquez AM;Alfaro-Núñez A;Campos PF;Petersen B;Sicheritz-Ponten T;Pas A;Bailey T;Scofield P;Bunce M;Lambert DM;Zhou Q;Perelman P;Driskell AC;Shapiro B;Xiong Z;Zeng Y;Liu S;Li Z;Liu B;Wu K;Xiao J;Yinqi X;Zheng Q;Zhang Y;Yang H;Wang J;Smeds L;Rheindt FE;Braun M;Fjeldsa J;Orlando L;Barker FK;Jønsson KA;Johnson W;Koepfli KP;O'Brien S;Haussler D;Ryder OA;Rahbek C;Willerslev E;Graves GR;Glenn TC;McCormack J;Burt D;Ellegren H;Alström P;Edwards SV;Stamatakis A;Mindell DP;Cracraft J;Braun EL;Warnow T;Jun W;Gilbert MT;Zhang G
通讯作者:
Zhang G
影响因子:
12.3
作者:
Cai Q;Qian X;Lang Y;Luo Y;Xu J;Pan S;Hui Y;Gou C;Cai Y;Hao M;Zhao J;Wang S;Wang Z;Zhang X;He R;Liu J;Luo L;Li Y;Wang J
通讯作者:
Wang J
影响因子:
64.8
作者:
通讯作者:
--
影响因子:
4.4
作者:
Gallardo, M. H.;Gonzalez, C. A.;Cebrian, I.
通讯作者:
Cebrian, I.
影响因子:
1.7
作者:
Griffin, D. K.;Robertson, L. B. W.;Skinner, B. M.
通讯作者:
Skinner, B. M.