Genetic Analysis of Heterosis for Yield Influencing Traits in Brassica juncea Using a Doubled Haploid Population and Its Backcross Progenies

Aakanksha,; Yadava, Satish Kumar; Yadav, Bal Govind; Gupta, Vibha; Mukhopadhyay, Arnab; Pental, Deepak; Pradhan, Akshay K.

doi:10.3389/fpls.2021.721631

Cited by 22 publications

(7 citation statements)

References 103 publications

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“…EH2 and PJK belong to distinct Indian and East European gene pools, respectively 2 . These gene pools are heterotic, and therefore have significant application in hybrid breeding in B. juncea 72 . The QTLs for seed size, coat color, oil content, and other seed traits have been previously reported in B. juncea 2 , 11 , 28 , 73 .…”

Section: Discussionmentioning

confidence: 99%

Transcriptome analysis reveals cell cycle-related transcripts as key determinants of varietal differences in seed size of Brassica juncea

Dhaka

Jain

Yadav

et al. 2022

Sci Rep

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Brassica juncea is an important oilseed crop, widely grown as a source of edible oil. Seed size is a pivotal agricultural trait in oilseed Brassicas. However, the regulatory mechanisms underlying seed size determination are poorly understood. To elucidate the transcriptional dynamics involved in the determination of seed size in B. juncea, we performed a comparative transcriptomic analysis using developing seeds of two varieties, small-seeded Early Heera2 (EH2) and bold-seeded Pusajaikisan (PJK), at three distinct stages (15, 30 and 45 days after pollination). We detected 112,550 transcripts, of which 27,186 and 19,522 were differentially expressed in the intra-variety comparisons and inter-variety comparisons, respectively. Functional analysis using pathway, gene ontology, and transcription factor enrichment revealed that cell cycle- and cell division-related transcripts stay upregulated during later stages of seed development in the bold-seeded variety but are downregulated at the same stage in the small-seeded variety, indicating that an extended period of cell proliferation in the later stages increased seed weight in PJK as compared to EH2. Further, k-means clustering and candidate genes-based analyses unravelled candidates for employing in seed size improvement of B. juncea. In addition, candidates involved in determining seed coat color, oil content, and other seed traits were also identified.

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Section: Discussionmentioning

confidence: 99%

Transcriptome analysis reveals cell cycle-related transcripts as key determinants of varietal differences in seed size of Brassica juncea

Dhaka

Jain

Yadav

et al. 2022

Sci Rep

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“…Immortalized BC population with one parental line has only two genotypes at each locus, and therefore cannot provide the full information to estimate the dominant effect. However, when used together, immortalized BC populations at both directions to the original two parental lines can also be used in investigating the genetic basis of heterosis (Li et al, 2008b;Aakanksha et al, 2021). GAHP is freely available from https://isbreeding.caas.cn.…”

Section: Applications Of the Gahp Software Package In Genetic Studiesmentioning

confidence: 99%

“… Li et al (2008b) reported two immortalized BC populations in rice and used them to identify the main-effect QTLs and digenic epistatic loci underlying the heterosis of agronomic and economic traits. Aakanksha et al (2021) investigated the heterosis on yield in Brassica juncea by using a DH and two-directional immortalized BC populations. Li et al (2018) developed two-directional immortalized BC populations and one immortalized F 2 population, and used them to detect QTLs affecting fiber quality traits in upland cotton.…”

Section: Introductionmentioning

confidence: 99%

GAHP: An integrated software package on genetic analysis with bi-parental immortalized heterozygous populations

Zhang

Wang²,

Wang³

et al. 2022

Front. Genet.

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GAHP is a freely available software package for genetic analysis with bi-parental immortalized heterozygous and pure-line populations. The package is project-based and integrated with multiple functions. All operations and running results are properly saved in a project, which can be recovered when the project is re-open by the package. Four functionalities have been implemented in the current version of GAHP, i.e., 1) MHP: visualization of genetic linkage maps; 2) VHP: analysis of variance (ANOVA) and estimation of heritability on phenotypic data; 3) QHP: quantitative trait locus (QTL) mapping on both genotypic and phenotypic data; 4) SHP: simulation of bi-parental immortalized heterozygous and pure-line populations, and power analysis of QTL mapping. VHP and QHP can be conducted in individual populations, as well as in multiple populations by the combined analysis. Input files are arranged either in the plain text format with an extension name same as the functionality or in the MS Excel formats. Output files have the same prefix name as the input file, but with different extensions to indicate their contents. Three characters before the extension names stand for the types of populations used in analysis. In the interface of the software package, input files are grouped by functionality, and output files are grouped by individual or combined mapping populations. In addition to the text-format outputs, the constructed linkage map can be visualized per chromosome or for a number of selected chromosomes; line plots and bi-plots can be drawn from QTL mapping results and phenotypic data. Functionalities and analysis methods available in GAHP help the investigation of genetic architectures of complex traits and the mechanism of heterosis in plants.

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“…A SNP array-based genetic map was used to identify 695 QTL for 14 traits, including PA, flowering, silique and other seed-related traits, in B. juncea . It also showed that epistasis among loci plays an important role in controlling heterosis in yield of B. juncea [ 98 ].…”

Section: Underlying Genetics Dictate Plant Yieldmentioning

confidence: 99%

The Global Assessment of Oilseed Brassica Crop Species Yield, Yield Stability and the Underlying Genetics

Zandberg

Fernandez

Danilevicz

et al. 2022

Plants

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The global demand for oilseeds is increasing along with the human population. The family of Brassicaceae crops are no exception, typically harvested as a valuable source of oil, rich in beneficial molecules important for human health. The global capacity for improving Brassica yield has steadily risen over the last 50 years, with the major crop Brassica napus (rapeseed, canola) production increasing to ~72 Gt in 2020. In contrast, the production of Brassica mustard crops has fluctuated, rarely improving in farming efficiency. The drastic increase in global yield of B. napus is largely due to the demand for a stable source of cooking oil. Furthermore, with the adoption of highly efficient farming techniques, yield enhancement programs, breeding programs, the integration of high-throughput phenotyping technology and establishing the underlying genetics, B. napus yields have increased by >450 fold since 1978. Yield stability has been improved with new management strategies targeting diseases and pests, as well as by understanding the complex interaction of environment, phenotype and genotype. This review assesses the global yield and yield stability of agriculturally important oilseed Brassica species and discusses how contemporary farming and genetic techniques have driven improvements.

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Genetic Analysis of Heterosis for Yield Influencing Traits in Brassica juncea Using a Doubled Haploid Population and Its Backcross Progenies

Cited by 22 publications

References 103 publications

Transcriptome analysis reveals cell cycle-related transcripts as key determinants of varietal differences in seed size of Brassica juncea

Transcriptome analysis reveals cell cycle-related transcripts as key determinants of varietal differences in seed size of Brassica juncea

GAHP: An integrated software package on genetic analysis with bi-parental immortalized heterozygous populations

The Global Assessment of Oilseed Brassica Crop Species Yield, Yield Stability and the Underlying Genetics

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