2022
DOI: 10.1007/s00122-022-04051-w
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BSA‑seq and genetic mapping reveals AhRt2 as a candidate gene responsible for red testa of peanut

Abstract: Testa color is an important trait of peanut (Arachis hypogaea L.). Peanuts with red testa are rich in anthocyanin, are very popular with consumers. However, genes responsible for the red testa trait in peanut are rarely reported. In order to ne map red testa gene, two F 4 populations were constructed through the cross of YZ9102 (pink testa) with ZH12 (red testa) and Zhanhong2 (red testa). Genetic analysis indicated that red testa was controlled by a single recessive gene, and named as AhRt2 (Red testa gene 2).… Show more

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Cited by 29 publications
(24 citation statements)
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“…High-throughput sequencing technology has enabled not only the assembly of high-quality reference genomes for most crops but also the rapid detection of sequence variations, such as SNPs and Indels. By combining bulk segregation analysis and sequencing approach, BSA-seq has been successfully applied in many crops ( Lee et al., 2020 ; Chen et al., 2021 ; Wu et al., 2022 ; Zhang et al., 2022 ). However, due to the linkage disequilibrium and the incomplete coverage of the sequencing reads, the QTL regions identified using BSA-seq are usually large and need to be narrowed down further ( Chen et al., 2021 ; Zhang et al., 2022 ).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…High-throughput sequencing technology has enabled not only the assembly of high-quality reference genomes for most crops but also the rapid detection of sequence variations, such as SNPs and Indels. By combining bulk segregation analysis and sequencing approach, BSA-seq has been successfully applied in many crops ( Lee et al., 2020 ; Chen et al., 2021 ; Wu et al., 2022 ; Zhang et al., 2022 ). However, due to the linkage disequilibrium and the incomplete coverage of the sequencing reads, the QTL regions identified using BSA-seq are usually large and need to be narrowed down further ( Chen et al., 2021 ; Zhang et al., 2022 ).…”
Section: Discussionmentioning
confidence: 99%
“…Map-based cloning of genes involving significant agronomical traits and marker-assisted selection (MAS) have been widely applied in crops ( Chen et al., 2021 ; Koppolu et al., 2022 ). Bulked segregant analysis with whole-genome resequencing (BAS-seq) is an effective approach for the identification of candidate genes and has been successfully utilized ( Lee et al., 2020 ; Wu et al., 2022 ; Zhang et al., 2022 ). However, genetic and genomic studies of broomcorn millet were more hysteretic than those of other crops.…”
Section: Introductionmentioning
confidence: 99%
“…The candidate gene controlling peanut purple testa was considered to be one of two MYB transcription factors (Zhao et al, 2019;Huang et al, 2020). Two independently inherited genes might be controlling peanut red testa, One encoded bHLH transcription factor and the other encoded anthocyanin reductase (Chen et al, 2021;Zhang et al, 2022). By analyzing the pink and red testa of peanut by transcriptome and metabolome, some CHS, F3 H, DFR, MYB, bHLH, and WD40 genes may be the key formation and regulatory genes controlling the formation of pink and red testa in peanut (Xue et al, 2021).…”
Section: Enrichment Analysis Of Metabolic Pathways and Flow Direction...mentioning
confidence: 99%
“…The candidate gene AhTc1 that controls the color of peanut purple testa has been mapped on chromosome 10 and encodes for R2R3-MYB transcription factor (Zhao et al, 2019). Two independently inherited genes controlling peanut red testa, AhRt1 and AhRt2, were identified on chromosomes 3 and 12, respectively (Chen et al, 2021;Zhang et al, 2022). Some other candidate genes and critical pathway were also predicted by combining transcriptome and metabolome methods between testa of two different colors, which enriched the study of gene function and the relationship between genes and metabolites in peanut testa (Wan et al, 2020;Xue et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…To identify candidate regions, a SNP-index association analysis and a Euclidean distance (ED) association analysis were conducted (Abe et al 2012;Zhang et al, 2022). The LOESS method was used for tting the ED and delta SNP-index values.…”
Section: Whole Genome Sequencing and Bsa-seq Analysismentioning
confidence: 99%