Author
LIU, ZHANJIANG - Auburn University | |
LIU, SHIKAI - Auburn University | |
YAO, JUN - Auburn University | |
BAO, LISUI - Auburn University | |
JIANG, CHEN - Auburn University | |
WANT, RUIJIA - Auburn University | |
SUN, LUYANG - Auburn University | |
LI, YUN - Auburn University | |
ZHANG, YU - Auburn University | |
ZHANG, JIAREN - Auburn University | |
ZHOU, TAO - Auburn University | |
ZENG, QIFAN - Auburn University | |
FU, QIANG - Auburn University | |
GAO, SEN - Auburn University | |
LI, NING - Auburn University | |
KOREN, SERGEY - Us Deparment Of Homeland Security | |
JIANG, YANLIANG - Auburn University | |
ZIMIM, ALEKSEY - University Of Maryland | |
XU, PENG - Auburn University | |
PHILLIPPY, ADAM - Us Deparment Of Homeland Security | |
GENG, XIN - Auburn University | |
SONG, LIN - Auburn University | |
SUN, FANYUE - Auburn University | |
LI, CHAO - Auburn University | |
WANT, XIAOZHU - Auburn University | |
CHEN, AILU - Auburn University | |
JIN, YULIN - Auburn University | |
YUAN, ZIHAO - Auburn University | |
YANG, YUJIA - Auburn University | |
TAN, SUXU - Auburn University | |
PEATMAN, ERIC - Auburn University | |
LU, JIANGUO - Auburn University | |
QIN, ZHENKUI - Auburn University | |
DUNHAM, REX - Auburn University | |
LI, ZHAOXIA - Auburn University | |
Sonstegard, Tad | |
FENG, JIANBIN - Auburn University | |
DANZMANN, ROY - University Of Guelph | |
Schroeder, Steven - Steve | |
Scheffler, Brian | |
Duke, Mary | |
Ballard, Linda | |
KUCUKTAS, HUSEYIN - Auburn University | |
KALTENBOECK, LUDMILLA - Auburn University | |
LIU, HAIXIA - Auburn University | |
ARMBRUSTER, JON - Auburn University | |
XIE, YANGJIE - Auburn University | |
Kirby, Mona | |
TIAN, YI - Auburn University | |
Moore Flanagan, Mary | |
MU, WEIJIE - Auburn University | |
Waldbieser, Geoffrey - Geoff |
Submitted to: Nature Communications
Publication Type: Peer Reviewed Journal Publication Acceptance Date: 4/27/2016 Publication Date: 6/2/2016 Citation: Liu, Z., Liu, S., Yao, J., Bao, L., Jiang, C., Want, R., Sun, L., Li, Y., Zhang, Y., Zhang, J., Zhou, T., Zeng, Q., Fu, Q., Gao, S., Li, N., Koren, S., Jiang, Y., Zimim, A., Xu, P., Phillippy, A., Geng, X., Song, L., Sun, F., Li, C., Want, X., Chen, A., Jin, Y., Yuan, Z., Yang, Y., Tan, S., Peatman, E., Lu, J., Qin, Z., Dunham, R., Li, Z., Sonstegard, T.S., Feng, J., Danzmann, R.G., Schroeder, S.G., Scheffler, B.E., Duke, M.V., Ballard, L.L., Kucuktas, H., Kaltenboeck, L., Liu, H., Armbruster, J., Xie, Y., Kirby, M.A., Tian, Y., Moore Flanagan, M.E., Mu, W., Waldbieser, G.C. 2016. The channel catfish genome sequence provides insights into the evolution of scale formation in teleosts. Nature Communications. 7:11757. Interpretive Summary: Efficient whole genome analysis and selective breeding requires a reference genome assembly. ARS scientists at the Warmwater Aquaculture Research Unit and Genomics and Bioinformatics Research Unit in Stoneville, MS, the Animal Genomics and Improvement Laboratory in Beltsville, MD, collaborated with scientists at Auburn University, the Department of Homeland Security, and the University of Maryland to produce a whole genome sequence assembly for the channel catfish. Genomic DNA was utilized from “Coco”, a doubled haploid (homozygous) catfish to produce 1.3 billion DNA sequences with next-generation DNA sequencing technologies. The sequences were filtered and assembled using the MaSuRCA assembly software, and a novel method was used to fill gaps within scaffolded sequences. The team produced the most complete and continuous fish genome sequence to be assembled from next-generation technology to date. Assembly accuracy was validated using a variety of genomic resources such as sequences from DNA libraries and alignment to the catfish genetic map. The team demonstrated that the vast majority of DNA sequences from other channel catfish can be aligned to this assembly, and the catfish genome assembly contained more predicted genes than any fish genome assembly. Our analysis showed that 26,381 gene predictions could be validated from experimental gene expression data. The genome assembly will be key to the identification of sequence variation that is linked to improved performance for traits such as growth rate and carcass yield, and will permit selection of broodstock based on high resolution relationships with fish that exhibit superior performance. Technical Abstract: Channel catfish (Ictalurus punctatus), characteristic of its scaleless skin and prominent barbels, is an ideal species to study osteogenesis, development of appendages, olfactory sensing, and immunological adaptation. It is the leading aquaculture species in the United States. A high quality reference genome sequence is essential for understanding evolution and important biological characteristics of catfishes, as well as for genetic improvement programs. Here we report the channel catfish reference genome sequence with the highest quality among genomes sequenced with next generation sequencing. A total of 26,661 protein-coding genes were annotated, the largest gene content of any diploid fish. The catfish barbels serve as olfactory and gustatory centers, providing evolutionary advantages to catfish. Interspecific comparative transcriptome analysis, coupled to regeneration experiments, provided insights into scalelessness. The lack of secretory calcium-binding phosphoprotein genes or of their expression may account for the lack of scales in channel catfish, an evolutionary characteristic shared by thousands of catfish species. |