Combined BSA-Seq and RNA-Seq Analysis to Identify Candidate Genes Associated with Aluminum Toxicity in Rapeseed (Brassica napus L.)

Exchangeable aluminum (Al) ions released from acidic soils with pH < 5.5 inhibit root elongation of crops, ultimately leading to yield reduced. It is necessary to identify the quantitative trait locus (QTLs) and candidate genes that confer toxicity resistance to understand the mechanism and improve tolerance of rapeseed. In this study, an F<sub>2</sub> segregating population was derived from a cross between Al-tolerance inbred line FDH188 (R178) and -sensitive inbred line FDH152 (S169), and the F<sub>2:3</sub> were used as materials to map QTLs associated with the relative elongation of taproot (RET) under Al toxicity stress. Based on bulked segregant analysis sequencing (BSA-seq), three QTLs (<i>qAT-A07-1</i>, <i>qAT-A07-2</i>, and <i>qAT-A09-1</i>) were detected as significantly associated with RET, and 656 candidate genes were screened. By combined BSA and RNA-seq analysis, 55 candidate genes showed differentially expressed, including genes encoding ABC transporter G (ABCG), zinc finger protein, NAC, ethylene-responsive transcription factor (ERF), etc. These genes were probably positive factors in coping with Al toxicity stress in rapeseed. This study provides new insight into exploring the QTLs and candidate genes' response to Al toxicity stress by combined BSA-seq and RNA-seq and is helpful to further research on the mechanism of Al resistance in rapeseed.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2024-10-17
DOI
https://doi.org/10.3390/ijms252011190
Citations
6
Primary Topic
Aluminum toxicity and tolerance in plants and animals
Type
article
Field-Weighted Citation Impact
3.60

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article

Combined BSA-Seq and RNA-Seq Analysis to Identify Candidate Genes Associated with Aluminum Toxicity in Rapeseed (Brassica napus L.)

Wei Zheng, Xiaojun Xiao, Paolan Yu, Qinghong Zhou et al.
6 citations
International Journal of Molecular Sciences
Aluminum toxicity and tolerance in plants and animals
3.60
article

Combined BSA-Seq and RNA-Seq Analysis to Identify Candidate Genes Associated with Aluminum Toxicity in Rapeseed (Brassica napus L.)

Wei Zheng, Xiaojun Xiao, Paolan Yu, Qinghong Zhou, Huiwen Zhou, Yang Wu, Depeng Han, Lanhua Wu
article en
6 citations

Abstract

Exchangeable aluminum (Al) ions released from acidic soils with pH < 5.5 inhibit root elongation of crops, ultimately leading to yield reduced. It is necessary to identify the quantitative trait locus (QTLs) and candidate genes that confer toxicity resistance to understand the mechanism and improve tolerance of rapeseed. In this study, an F<sub>2</sub> segregating population was derived from a cross between Al-tolerance inbred line FDH188 (R178) and -sensitive inbred line FDH152 (S169), and the F<sub>2:3</sub> were used as materials to map QTLs associated with the relative elongation of taproot (RET) under Al toxicity stress. Based on bulked segregant analysis sequencing (BSA-seq), three QTLs (<i>qAT-A07-1</i>, <i>qAT-A07-2</i>, and <i>qAT-A09-1</i>) were detected as significantly associated with RET, and 656 candidate genes were screened. By combined BSA and RNA-seq analysis, 55 candidate genes showed differentially expressed, including genes encoding ABC transporter G (ABCG), zinc finger protein, NAC, ethylene-responsive transcription factor (ERF), etc. These genes were probably positive factors in coping with Al toxicity stress in rapeseed. This study provides new insight into exploring the QTLs and candidate genes' response to Al toxicity stress by combined BSA-seq and RNA-seq and is helpful to further research on the mechanism of Al resistance in rapeseed.

International Journal of Molecular SciencesVol. 25(20)
Jiujiang University (CN), Jiangxi Institute of Red Soil (CN), Jiangxi Agricultural University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangxi Province
Life in Land
Openalex Percentile: Top 7%
Aluminum toxicity and tolerance in plants and animals
3.60
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