2019
DOI: 10.1186/s12864-019-5675-4
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Identification of genomic regions associated with multi-silique trait in Brassica napus

Abstract: Background Although rapeseed ( Brassica napus L.) mutant forming multiple siliques was morphologically described and considered to increase the silique number per plant, an important agronomic trait in this crop, the molecular mechanism underlying this beneficial trait remains unclear. Here, we combined bulked-segregant analysis (BSA) and whole genome re-sequencing (WGR) to map the genomic regions responsible for the multi-silique trait using two pools of DNA from the ne… Show more

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Cited by 14 publications
(42 citation statements)
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“…napus (Jiang et al, 1998), investigating the associated regions of chromosomes at the genomic level and transcriptomically exploring the DEGs in multi-silique and single-silique plants (Chai et al, 2019). The multi-silique trait was found to be controlled by three recessive alleles and was significantly affected by environment; however, the mechanisms by which environmental factors affect this trait remained unknown, even if we knew that temperature could switch on/off the multi-silique trait (Chai et al, 2019). As mentioned above, AS is a pathway by which the environment could regulate plant physiology, therefore in this study, we analyzed AS events in order to investigate the mechanism by which plants perceive temperature fluctuations.…”
Section: Discussionmentioning
confidence: 99%
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“…napus (Jiang et al, 1998), investigating the associated regions of chromosomes at the genomic level and transcriptomically exploring the DEGs in multi-silique and single-silique plants (Chai et al, 2019). The multi-silique trait was found to be controlled by three recessive alleles and was significantly affected by environment; however, the mechanisms by which environmental factors affect this trait remained unknown, even if we knew that temperature could switch on/off the multi-silique trait (Chai et al, 2019). As mentioned above, AS is a pathway by which the environment could regulate plant physiology, therefore in this study, we analyzed AS events in order to investigate the mechanism by which plants perceive temperature fluctuations.…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, real-time quantitative PCR (qPCR) was performed to validate the transcriptome sequencing. Since the validation for transcriptome sequencing data from plants in Xindu had been confirmed previously (Chai et al, 2019), we only validated the data from plants in colder Ma'erkang herein. Amplification reactions were performed on iQ™5 Real-Time PCR System (Biorad) as follows: an initial denaturation step at 95 °C for 3 min, 39 cycles at 95 153°C for 10 s, 60 °C for 30 s, and 72 °C for 30 s. After each run, a melt curve was acquired to check for amplification specificity by heating the samples from 60 °C to 95 °C.…”
Section: Sequencing and Expression Analysismentioning
confidence: 95%
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