Pangenome analysis reveals yield- and fiber-related diversity and interspecific gene flow in Gossypium barbadense L.

Gossypium barbadense is renowned for its superior fiber quality, particularly its extra-long fibers, although its fiber yield is lower compared to G. hirsutum. Here, to further reveal fiber-related genomic variants of G. barbadense, we de novo assemble 12 genomes of G. barbadense that span the wild-to-domesticated continuum, and construct a graph-based pangenome by integrating these assemblies and 17 publicly available tetraploid cotton genome assemblies. We uncover the divergent evolutionary trajectories and subsequent exchanges between G. barbadense and G. hirsutum through investigation of structural variants (SVs). We perform the SV-based GWAS analysis in G. barbadense and identify four, three, and seven candidate SVs for fiber length, fiber strength, and lint percentage, respectively. Furthermore, we detect the underlying candidate genes and uncover the origin and distribution of favorable alleles, and reveal the tradeoff between lint percentage and fiber quality. These pangenome and trait-associated SVs provide insights into and resources for improving cotton fiber.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-05-29
DOI
https://doi.org/10.1038/s41467-025-60254-x
Citations
17
Primary Topic
Research in Cotton Cultivation
Type
article
Field-Weighted Citation Impact
29.75

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pangenome analysis reveals yield- and fiber-related diversity and interspecific gene flow in Gossypium barbadense L.

Joshua A. Udall, Maojun Wang, Kai Zheng, Shihe Jiang et al.
17 citations
Nature Communications
Research in Cotton Cultivation
29.75
article

Pangenome analysis reveals yield- and fiber-related diversity and interspecific gene flow in Gossypium barbadense L.

Joshua A. Udall, Maojun Wang, Kai Zheng, Shihe Jiang, Daojun Yuan, Corrinne E. Grover, Jiaqi Gu, Jie Kong, Liuyang Hui, Shuangxia Jin, Quanjia Chen, Jonathan F. Wendel, Yuxuan Rong, Peihao Xie, Zhongxu Lin, Zhongping Xu, Jie Zhang, Xinxin Gu, Xianlong Zhang, Qingying Meng, Xinhui Nie, Jiwei Tang
article en
17 citations

Abstract

Gossypium barbadense is renowned for its superior fiber quality, particularly its extra-long fibers, although its fiber yield is lower compared to G. hirsutum. Here, to further reveal fiber-related genomic variants of G. barbadense, we de novo assemble 12 genomes of G. barbadense that span the wild-to-domesticated continuum, and construct a graph-based pangenome by integrating these assemblies and 17 publicly available tetraploid cotton genome assemblies. We uncover the divergent evolutionary trajectories and subsequent exchanges between G. barbadense and G. hirsutum through investigation of structural variants (SVs). We perform the SV-based GWAS analysis in G. barbadense and identify four, three, and seven candidate SVs for fiber length, fiber strength, and lint percentage, respectively. Furthermore, we detect the underlying candidate genes and uncover the origin and distribution of favorable alleles, and reveal the tradeoff between lint percentage and fiber quality. These pangenome and trait-associated SVs provide insights into and resources for improving cotton fiber.

Nature CommunicationsVol. 16(1)
Shihezi University (CN), United States Department of Agriculture (US), Xinjiang Agricultural University (CN), Iowa State University (US), Huazhong Agricultural University (CN), Xinjiang Academy of Agricultural Sciences (CN), Southern Plains Agricultural Research Center (US)
Huazhong Agricultural University, Natural Science Foundation of Xinjiang, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 0%
Research in Cotton Cultivation
29.75
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.