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High-throughput single-molecule long-read RNA sequencing analysis of tissue-specific genes and isoforms in lettuce (Lactuca sativa L.).
Shi, Zhuo-Xing; Xiang, Lei; Zhao, Hai-Ming; Yang, Lang-Qi; Chen, Zhi-Chao; Pu, Yu-Qing; Li, Yan-Wen; Luo, Bei; Cai, Quan-Ying; Liu, Bai-Lin; Feng, Nai-Xian; Li, Hui; Li, Qing X; Tang, Chong; Mo, Ce-Hui.
Afiliación
  • Shi ZX; Guangdong Provincial Research Center for Environment Pollution Control and Remediation Materials, College of Life Science and Technology, Jinan University, Guangzhou, 510632, China.
  • Xiang L; BGI Genomics, BGI-Shenzhen, Shenzhen, China.
  • Zhao HM; Guangdong Provincial Research Center for Environment Pollution Control and Remediation Materials, College of Life Science and Technology, Jinan University, Guangzhou, 510632, China.
  • Yang LQ; Guangdong Provincial Research Center for Environment Pollution Control and Remediation Materials, College of Life Science and Technology, Jinan University, Guangzhou, 510632, China.
  • Chen ZC; Guangdong Provincial Research Center for Environment Pollution Control and Remediation Materials, College of Life Science and Technology, Jinan University, Guangzhou, 510632, China.
  • Pu YQ; BGI Genomics, BGI-Shenzhen, Shenzhen, China.
  • Li YW; Guangdong Provincial Research Center for Environment Pollution Control and Remediation Materials, College of Life Science and Technology, Jinan University, Guangzhou, 510632, China.
  • Luo B; Guangdong Provincial Research Center for Environment Pollution Control and Remediation Materials, College of Life Science and Technology, Jinan University, Guangzhou, 510632, China.
  • Cai QY; BGI Genomics, BGI-Shenzhen, Shenzhen, China.
  • Liu BL; Guangdong Provincial Research Center for Environment Pollution Control and Remediation Materials, College of Life Science and Technology, Jinan University, Guangzhou, 510632, China.
  • Feng NX; Guangdong Provincial Research Center for Environment Pollution Control and Remediation Materials, College of Life Science and Technology, Jinan University, Guangzhou, 510632, China.
  • Li H; Guangdong Provincial Research Center for Environment Pollution Control and Remediation Materials, College of Life Science and Technology, Jinan University, Guangzhou, 510632, China.
  • Li QX; Guangdong Provincial Research Center for Environment Pollution Control and Remediation Materials, College of Life Science and Technology, Jinan University, Guangzhou, 510632, China.
  • Tang C; Department of Molecular Biosciences and Bioengineering, University of Hawaii at Manoa, Honolulu, HI, 96822, USA.
  • Mo CH; BGI Genomics, BGI-Shenzhen, Shenzhen, China. tangchong@bgi.com.
Commun Biol ; 7(1): 920, 2024 Jul 31.
Article en En | MEDLINE | ID: mdl-39080448
ABSTRACT
Lettuce is one of the most widely cultivated and consumed dicotyledonous vegetables globally. Despite the availability of its reference genome sequence, lettuce gene annotation remains incomplete, impeding comprehensive research and the broad application of genomic resources. Long-read RNA isoform sequencing (Iso-Seq) offers substantial advantages for analyzing RNA alternative splicing and aiding gene annotation, yet it faces throughput limitations. We present the HIT-ISOseq method tailored for bulk sample analysis, significantly enhancing RNA sequencing throughput on the PacBio platform by concatenating cDNA. Here we show, HIT-ISOseq generates 3-4 cDNA molecules per CCS read in lettuce, yielding 15.7 million long reads per PacBio Sequel II SMRT Cell 8 M. We validate its effectiveness in analyzing six lettuce tissue samples, including roots, stems, and leaves, revealing tissue-specific gene expression patterns and RNA isoforms. Leveraging diverse tissue long-read RNA sequencing, we refine the transcript annotation of the lettuce reference genome, expanding its GO and KEGG annotation repertoire. Collectively, this study serves as a foundational reference for genome annotation and the analysis of multi-sample isoform expression, utilizing high-throughput long-read transcriptome sequencing.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Análisis de Secuencia de ARN / Lactuca / Secuenciación de Nucleótidos de Alto Rendimiento Idioma: En Revista: Commun Biol Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Análisis de Secuencia de ARN / Lactuca / Secuenciación de Nucleótidos de Alto Rendimiento Idioma: En Revista: Commun Biol Año: 2024 Tipo del documento: Article País de afiliación: China