Author
ZHANG, TIANZHEN - Nanjing Agricultural University | |
HU, YAN - Nanjing Agricultural University | |
JIANG, WENKAI - Novogene Bioinformatics Institue | |
FANG, LEI - Nanjing Agricultural University | |
GUAN, XUEYING - University Of Texas | |
CHEN, JIEDAN - Nanjing Agricultural University | |
ZHANG, JINBO - Novogene Bioinformatics Institue | |
SASKI, CHRISTOPHER - Clemson University | |
Scheffler, Brian | |
STELLY, DAVID - Texas A&M University | |
HULSE-KEMP, AMANDA - Texas A&M University | |
WAN, QUN - Nanjing Agricultural University | |
LIU, BINGLIANG - Nanjing Agricultural University | |
LIU, CHUNXIAO - Nanjing Agricultural University | |
WANG, SEN - Nanjing Agricultural University | |
PAN, MENGQIAO - Nanjing Agricultural University | |
WANG, YANGKUN - Nanjing Agricultural University | |
WANG, DAWEI - Novogene Bioinformatics Institue | |
YE, WENXUE - Nanjing Agricultural University | |
CHANG, LIJING - Nanjing Agricultural University | |
ZHANG, WENPAN - Nanjing Agricultural University | |
SONG, QINGXIN - University Of Texas | |
KIRKBRIDE, RYAN - University Of Texas | |
CHEN, XIAOYA - Chinese Academy Of Sciences | |
DENNIS, ELIZABETH - Commonwealth Scientific And Industrial Research Organisation (CSIRO) | |
LLEWELLYN, DANNY - Commonwealth Scientific And Industrial Research Organisation (CSIRO) | |
PETERSON, DANIEL - Mississippi State University | |
THAXTON, PEGGY - Delta Research & Extension Center | |
JONES, DON - Cotton, Inc | |
WANG, QIONG - Nanjing Agricultural University | |
XU, XIAOYANG - Nanjing Agricultural University | |
ZHANG, HUA - Nanjing Agricultural University | |
WU, HUAITONG - Nanjing Agricultural University | |
ZHOU, LEI - Nanjing Agricultural University | |
MEI, GAOFU - Nanjing Agricultural University | |
CHEN, SHUQI - Nanjing Agricultural University | |
TIAN, YUE - Nanjing Agricultural University | |
XIANG, DAN - Nanjing Agricultural University | |
LI, XINGHE - Nanjing Agricultural University | |
DING, JIAN - Nanjing Agricultural University | |
ZUO, QIYANG - Novogene Bioinformatics Institue | |
TAO, LINNA - Novogene Bioinformatics Institue | |
LIU, YUNCHAO - Novogene Bioinformatics Institue | |
LI, JI - Novogene Bioinformatics Institue | |
LIN, YU - Novogene Bioinformatics Institue | |
HUI, YUANYUAN - Novogene Bioinformatics Institue | |
CAO, ZHISHENG - Novogene Bioinformatics Institue | |
CAI, CAIPING - Nanjing Agricultural University | |
ZHU, XIEFEI - Nanjing Agricultural University | |
JIANG, ZHI - Novogene Bioinformatics Institue | |
ZHOU, BAOLIANG - Nanjing Agricultural University | |
GUO, WANGZHEN - Nanjing Agricultural University | |
LI, RUIQIANG - Novogene Bioinformatics Institue | |
CHEN, Z. JEFFREY - Nanjing Agricultural University |
Submitted to: Nature Biotechnology
Publication Type: Peer Reviewed Journal Publication Acceptance Date: 3/15/2015 Publication Date: 4/20/2015 Citation: Zhang, T., Hu, Y., Jiang, W., Fang, L., Guan, X., Chen, J., Zhang, J., Saski, C., Scheffler, B.E., Stelly, D.M., Hulse-Kemp, A.M., Wan, Q., Liu, B., Liu, C., Wang, S., Pan, M., Wang, Y., Wang, D., Ye, W., Chang, L., Zhang, W., Song, Q., Kirkbride, R.C., Chen, X., Dennis, E., Llewellyn, D.J., Peterson, D.G., Thaxton, P., Jones, D.C., Wang, Q., Xu, X., Zhang, H., Wu, H., Zhou, L., Mei, G., Chen, S., Tian, Y., Xiang, D., Li, X., Ding, J., Zuo, Q., Tao, L., Liu, Y., Li, J., Lin, Y., Hui, Y., Cao, Z., Cai, C., Zhu, X., Jiang, Z., Zhou, B., Guo, W., Li, R., Chen, Z. 2015. Sequencing of allotetraploid cotton (Gossypium hirsutum L. acc. TM-1) provides a resource for fiber improvement. Nature Biotechnology. 33(5):531-537. doi:10.1038/nbt.3207. Interpretive Summary: Cotton is the most important natural textile fiber and in some parts of the world is a valuable source of oil and protein. In worldwide production systems, cotton is produced by three different Gossypium species with upland cotton (Gossypium hirsutum) accounting the vast majority of cotton production. Upland cotton is a tetraploid species meaning it has chromosomes from two different diploid cotton species. The exact ancestors of upland cotton are not known but one is closely related to a cotton species that produces low quality fibers and the other ancestor does not produce any significant amount of fiber. However the combined genomes plus evolution and selection overtime has resulted in upland cotton which is produces high quality fiber with significant yields. How upland cotton was achieved and thus can be further improved for fiber traits and yield is an important agricultural question. Working towards this goal, this paper deals with determining the DNA sequence of the upland cotton, which is extremely difficult because it contains the DNA of the two ancestral species. A cost effective method was used to determine the sequence of upland cotton so the final genome assembly while not perfect is a useful tool for exploring important agricultural studies. As such, this paper has determined that in upland cotton certain genes for biotic stress from one ancestral species are more expressed than the other ancestor and the reverse is true for genes associated with fiber production. Technical Abstract: Cotton is the world’s most important natural textile fibre and a significant oilseed crop. Upland cotton (Gossypium hirsutum L.), an allotetraploid derived from A- and D-genome progenitors, accounts for >95% of world production. Here, we sequenced and assembled 88% of the 2.5-gigabase genome of the genetic standard Upland cotton TM-1 using Illumina whole-genome shotgun and Sanger BAC-end sequencing platforms. Homoeologous chromosome assemblies were assigned using an ultra-dense linkage map containing 5 millions of single nucleotide polymorphisms. The allotetraploid genome consists of 70,478 predicted protein-coding genes, including 32,032 (45%) and 34,402(49%) in the A and D subgenomes, respectively. We showed that the A subgenome expressed more positively selected genes related to fibre development and the D subgenome expressed more stress induced genes, leading to fibre domestication and its wide adaptation. This high-quality genomic resource provides tools for the genetic improvement of cotton and for sequencing other allopolyploid crop genomes. |