Transcriptome dynamics along with expression analysis of key genes involved in fiber development between Gossypium barbadense and Gossypium darwinii

The transcriptome profiling for underpinning the role of key genes controlling formation of fiber in cultivated Gossypium barbadense compared to wild allotetraploid cotton Gossypium darwinii which remained less investigated. Owing to excellent fiber quality of both Gossypium barbadense and Gossypium darwinii and information obtained via Simple Sequence Repeat (SSR) markers, two lines: Xh-18 and darwinii 5-7 were selected for transcriptome sequencing during developmental stages i.e., fiber initiation, elongation, and secondary cell wall (SCW) biosynthesis followed by 0 day after anthesis (DPA), 5DPA, 10DPA, 15DPA and 25DPA, respectively. Twelve libraries of RNA-seq were generated and sequenced individually generating approximately 818 million clean reads of Gossypium darwinii. However, for Gossypium barbadense more than 844 million clean reads were recorded. The Pearson Correlation Coefficient (PCC) analysis results indicated that gene expressions for both Gossypium barbadense and Gossypium darwinii indicated more than 90% of the commonalities at the same stage of fiber growth. However, genes found among Gossypium darwinii at 5, 6 and 7 DPA and XH-18 at 10 and 25 DPA were found disimilar. The expression quantity of RNA sequencing data, 31 genes were found common throughout all stages of DPAs in Gossypium darwinii 5-7 whereas, 377 genes were common in Gossypium barbadense XH-18 at 0, 5, 10, 15, 20, and 25 DPA stages of fiber development. Three genes XLOC_080616 (LTPG2_ARATH/ NLTL2_ARATH; GPI-anchored 2 non-specific lipid transfer protein, similar to At2 g13820), XLOC_065471 (LPAT2_ARATH/LPAT2_BRAOL 1-acyl-sn-glycerol-3-phosphate acyltransferase2), and XLOC_077416 (uncharacterized protein) shown up-regulated expression during 15 and 20 DPA for both Gossypium barbadense and Gossypium darwinii. It will also explore the possible role Gossypium barbadense DNA segment associated with development of fiber quality. Furthermore, this research will decipher the underlying process of fiber development and the possible role of genes for fiber formation in both Sea Island and wild cotton species.

Authors

Institutions

Publication Details

Journal
BMC Plant Biology
Published
2025-05-23
DOI
https://doi.org/10.1186/s12870-025-06697-2
Citations
1
Primary Topic
Research in Cotton Cultivation
Type
article
Field-Weighted Citation Impact
1.75

Funders

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

Transcriptome dynamics along with expression analysis of key genes involved in fiber development between Gossypium barbadense and Gossypium darwinii

Baohong Zhang, Yuqing Hou, Aqsa Ijaz, Yanchao Xu et al.
1 citations
BMC Plant Biology
Research in Cotton Cultivation
1.75
article

Transcriptome dynamics along with expression analysis of key genes involved in fiber development between Gossypium barbadense and Gossypium darwinii

Baohong Zhang, Yuqing Hou, Aqsa Ijaz, Yanchao Xu, Ahmed M. Ramadan, Zunaira Anwar, Allah Ditta, Sajid Fiaz, Muhammad Kashif Riaz Khan, Najla Bint Saud Al-Saud, Fang Liu, Baohua Wang, Muhammad Shehzad, Xiaoyan Cai, Kunbo Wang, Zhongli Zhou
article en
1 citations

Abstract

The transcriptome profiling for underpinning the role of key genes controlling formation of fiber in cultivated Gossypium barbadense compared to wild allotetraploid cotton Gossypium darwinii which remained less investigated. Owing to excellent fiber quality of both Gossypium barbadense and Gossypium darwinii and information obtained via Simple Sequence Repeat (SSR) markers, two lines: Xh-18 and darwinii 5-7 were selected for transcriptome sequencing during developmental stages i.e., fiber initiation, elongation, and secondary cell wall (SCW) biosynthesis followed by 0 day after anthesis (DPA), 5DPA, 10DPA, 15DPA and 25DPA, respectively. Twelve libraries of RNA-seq were generated and sequenced individually generating approximately 818 million clean reads of Gossypium darwinii. However, for Gossypium barbadense more than 844 million clean reads were recorded. The Pearson Correlation Coefficient (PCC) analysis results indicated that gene expressions for both Gossypium barbadense and Gossypium darwinii indicated more than 90% of the commonalities at the same stage of fiber growth. However, genes found among Gossypium darwinii at 5, 6 and 7 DPA and XH-18 at 10 and 25 DPA were found disimilar. The expression quantity of RNA sequencing data, 31 genes were found common throughout all stages of DPAs in Gossypium darwinii 5-7 whereas, 377 genes were common in Gossypium barbadense XH-18 at 0, 5, 10, 15, 20, and 25 DPA stages of fiber development. Three genes XLOC_080616 (LTPG2_ARATH/ NLTL2_ARATH; GPI-anchored 2 non-specific lipid transfer protein, similar to At2 g13820), XLOC_065471 (LPAT2_ARATH/LPAT2_BRAOL 1-acyl-sn-glycerol-3-phosphate acyltransferase2), and XLOC_077416 (uncharacterized protein) shown up-regulated expression during 15 and 20 DPA for both Gossypium barbadense and Gossypium darwinii. It will also explore the possible role Gossypium barbadense DNA segment associated with development of fiber quality. Furthermore, this research will decipher the underlying process of fiber development and the possible role of genes for fiber formation in both Sea Island and wild cotton species.

BMC Plant BiologyVol. 25(1)
Pakistan Institute of Engineering and Applied Sciences (PK), Nuclear Institute for Agriculture and Biology (PK), King Abdulaziz University (SA), King Saud bin Abdulaziz University for Health Sciences (SA), East Carolina University (US), Nantong University (CN), Cotton Research Institute (CN), Chinese Academy of Agricultural Sciences (CN)
Pakistan Science Foundation, National Natural Science Foundation of China, Chinese Academy of Agricultural Sciences
Zero hunger
Openalex Percentile: Top 15%
Research in Cotton Cultivation
1.75
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.