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A data‐driven genome annotation approach for cassava.

Authors :
Chenna, Swetha
Ivanov, Maxim
Nielsen, Tue Kjærgaard
Chalenko, Karina
Olsen, Evy
Jørgensen, Kirsten
Sandelin, Albin
Marquardt, Sebastian
Source :
Plant Journal; Aug2024, Vol. 119 Issue 3, p1596-1612, 17p
Publication Year :
2024

Abstract

SUMMARY: Genome annotation files play a critical role in dictating the quality of downstream analyses by providing essential predictions for gene positions and structures. These files are pivotal in decoding the complex information encoded within DNA sequences. Here, we generated experimental data resolving RNA 5′‐ and 3′‐ends as well as full‐length RNAs for cassava TME12 sticklings in ambient temperature and cold. We used these data to generate genome annotation files using the TranscriptomeReconstructoR (TR) tool. A careful comparison to high‐quality genome annotations suggests that our new TR genome annotations identified additional genes, resolved the transcript boundaries more accurately and identified additional RNA isoforms. We enhanced existing cassava genome annotation files with the information from TR that maintained the different transcript models as RNA isoforms. The resultant merged annotation was subsequently utilized for comprehensive analysis. To examine the effects of genome annotation files on gene expression studies, we compared the detection of differentially expressed genes during cold using the same RNA‐seq data but alternative genome annotation files. We found that our merged genome annotation that included cold‐specific TR gene models identified about twice as many cold‐induced genes. These data indicate that environmentally induced genes may be missing in off‐the‐shelf genome annotation files. In conclusion, TR offers the opportunity to enhance crop genome annotations with implications for the discovery of differentially expressed candidate genes during plant–environment interactions. Significance Statement: Our work has broad implications for transcriptome analyses of plant–environment interactions: differentially expressed genes may be absent in commonly used annotations and would thus be missed. As solution, we suggest merging TR‐based annotations for specific conditions with existing genome annotation files. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09607412
Volume :
119
Issue :
3
Database :
Complementary Index
Journal :
Plant Journal
Publication Type :
Academic Journal
Accession number :
178737964
Full Text :
https://doi.org/10.1111/tpj.16856