Breeding response of transcript profiling in developing seeds of Brassica napus

Hu, Yaping; Wu, Gang; Cao, Yanwei; Wu, Yuhua; Xiao, Langtao; Li, Xiaodan; Lu, Changming

doi:10.1186/1471-2199-10-49

Cited by 44 publications

(50 citation statements)

References 63 publications

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“…Moreover, in previous studies, there exist inconsistent observations regarding the temporal changes in expression levels of genes related to oil biosynthesis in B. napus . Troncoso-Ponce et al (2011) reported a decline in relative abundance of expressed sequence tags for many oil biosynthesis enzymes during seed development in B. napus , while other studies indicated a bell-shaped temporal expression pattern (Hu et al, 2009; Deng et al, 2015). More investigations are required to resolve the dispute.…”

Section: Introductionmentioning

confidence: 96%

“…High-throughput gene expression profiling technologies, especially RNA sequencing, have been increasingly utilized to identify the key genes involved in lipid metabolism or seed development for various plants, such as soybean (Chen et al, 2012; Goettel et al, 2014), peanut (Yin et al, 2013), castor (Brown et al, 2012; Zhang et al, 2016), maize (Lu et al, 2013), Arabidopsis (Le et al, 2010; Belmonte et al, 2013), and rapeseed (Hu et al, 2009; Troncoso-Ponce et al, 2011; Chen et al, 2015; Deng et al, 2015; Xu et al, 2015). Although, considerable research has been devoted to study the molecular mechanism underlying lipid metabolism in various plants, little effort has been made to investigate, at the whole-genome level, dynamic changes of oil biosynthesis genes during seed development in B. napus , which is different from other oil plants in terms of oil content and oil composition.…”

Section: Introductionmentioning

confidence: 99%

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Time-Series Analyses of Transcriptomes and Proteomes Reveal Molecular Networks Underlying Oil Accumulation in Canola

et al. 2017

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Understanding the regulation of lipid metabolism is vital for genetic engineering of canola (Brassica napus L.) to increase oil yield or modify oil composition. We conducted time-series analyses of transcriptomes and proteomes to uncover the molecular networks associated with oil accumulation and dynamic changes in these networks in canola. The expression levels of genes and proteins were measured at 2, 4, 6, and 8 weeks after pollination (WAP). Our results show that the biosynthesis of fatty acids is a dominant cellular process from 2 to 6 WAP, while the degradation mainly happens after 6 WAP. We found that genes in almost every node of fatty acid synthesis pathway were significantly up-regulated during oil accumulation. Moreover, significant expression changes of two genes, acetyl-CoA carboxylase and acyl-ACP desaturase, were detected on both transcriptomic and proteomic levels. We confirmed the temporal expression patterns revealed by the transcriptomic analyses using quantitative real-time PCR experiments. The gene set association analysis show that the biosynthesis of fatty acids and unsaturated fatty acids are the most significant biological processes from 2-4 WAP and 4-6 WAP, respectively, which is consistent with the results of time-series analyses. These results not only provide insight into the mechanisms underlying lipid metabolism, but also reveal novel candidate genes that are worth further investigation for their values in the genetic engineering of canola.

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Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Time-Series Analyses of Transcriptomes and Proteomes Reveal Molecular Networks Underlying Oil Accumulation in Canola

et al. 2017

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“…The production of malonyl-CoA catalyzed by ACCase is the rate-limiting step in the process of fatty acid biosynthesis (Thelen et al, 2000;Fukuda et al, 2013). Previous studies have confirmed that heteromeric ACCase plays an important regulatory function during oil synthesis and accumulation in plant seeds (Thelen et al, 2000;Dong et al, 2004;Hu et al, 2009;Liu et al, 2009;Li et al, 2011). Homomeric ACCase is composed of a large multifunctional polypeptide (Sasaki and Nagano, 2004) and heteromeric ACCase is composed of a biotin carboxyl carrier protein (BCCP), biotin carboxylase (BC), and carboxyltransferase (CT), which consists of α-and β-subunits.…”

Section: Introductionmentioning

confidence: 98%

Molecular cloning and expression analysis of a novel BCCP subunit gene from Aleurites moluccana

Xuan¹,

Zhang²,

Liu³

et al. 2015

Genet. Mol. Res.

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ABSTRACT. Aleurites moluccana L. is grown as a roadside tree in southern China and the oil content of its seed is higher than other oil plants, such as Jatropha curcas and Camellia oleifera. A. moluccana is considered a promising energy plant because its seed oil could be used to produce biodiesel and bio-jet fuel. In addition, the bark, leaves, and kernels of A. moluccana have various medical and commercial uses. Here, a novel gene coding the biotin carboxyl carrier protein subunit (BCCP) was cloned from A. moluccana L. using the homology cloning method combined with rapid amplification of cDNA end (RACE) technology. The isolated full-length cDNA sequence (designated AMaccB) was 1188 bp, containing a 795-bp open reading frame coding for 265 amino acids. The deduced amino acid sequence of AM-accB contained a biotinylated domain located between amino acids 190 and 263. A. moluccana BCCP shows high identity at the amino acid level to its homologues in other higher plants, such as Vernicia fordii, J. curcas, and Ricinus communis (86, 77, and 70%, respectively), which all contain conserved domains for ACCase activity. The expression of the AM-accB gene during the middle stage of development and maturation in A. moluccana seeds was higher than that in early and later stages. The expression pattern of the AM-accB gene is very similar to that of the oil accumulation rate.

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“…Marker segregation distortion is a common phenomenon in crops [27,46,47], especially in maps derived from DH population regardless of marker types [16,23,24,29]. This distortion probably results from gametic or zygotic selection, or from a specific selection derived from the production of plants in vitro microspore culture.…”

Section: Discussionmentioning

confidence: 99%

An Integrated Genetic Map for Brassica napus Derived from Double Haploid and Recombinant Inbred Populations

Geng

Javed²,

McVetty³

et al. 2012

Hereditary Genetics

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A hybrid developed from a cross between two diverse Brassica napus cultivars ("Polo" and "Topas") was used to produce a microspore derived double haploid (DH) population and a single seed descent derived recombinant inbred (RI) population for genetic mapping. Each of the two populations consisting of 190 DH lines and 94 RI lines was characterized for various types (SSR, SRAP, ISSR, SCAR) of polymorphic molecular markers. The DH population was scored for 620 molecular markers while the RI population was scored for 349 molecular markers to construct two independent genetic maps. In both genetic maps, all of the molecular markers were found to cluster in 19 linkage groups (LGs) covered a total genome length of 2244.1 cM and 1649.1 cM for the DH and RI maps, respectively. The data from the two genetic maps was used to construct a consensus integrated genetic map covering a total genome length of 2464.9 cM. Previously published Brassica reference genetic maps were used to assign each of the nineteenLGs to corresponding Brassica napus chromosomes named N01 to N19. To our knowledge, this is the first integrated genetic map based on DH and RI populations developed from the same cross in Brassica napus.

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Breeding response of transcript profiling in developing seeds of Brassica napus

Cited by 44 publications

References 63 publications

Time-Series Analyses of Transcriptomes and Proteomes Reveal Molecular Networks Underlying Oil Accumulation in Canola

Time-Series Analyses of Transcriptomes and Proteomes Reveal Molecular Networks Underlying Oil Accumulation in Canola

Molecular cloning and expression analysis of a novel BCCP subunit gene from Aleurites moluccana

An Integrated Genetic Map for Brassica napus Derived from Double Haploid and Recombinant Inbred Populations

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