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ORIGINAL RESEARCH article

Front. Plant Sci., 03 October 2022
Sec. Plant Breeding
This article is part of the Research Topic Genetics and Molecular Breeding in Cereal Crops View all 29 articles

Genetic characterization of hull color using BSR-Seq and genome re-sequencing approaches in foxtail millet

Bohong Tian*Bohong Tian1*Lixin ZhangLixin Zhang1Jinghuang HuJinghuang Hu2Yanli LiuYanli Liu1Lulu ZhouLulu Zhou1Wenchao PingWenchao Ping1Jingwei ZouJingwei Zou1Hongjie Li*Hongjie Li2*
  • 1Cangzhou Academy of Agricultural and Forestry Sciences, Cangzhou, China
  • 2The National Engineering Laboratory of Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China

Hull color of foxtail millet is an important indicator of certain nutritional quality parameters. An F2:6 recombinant inbred line (RIL) population developed by crossing a yellow-hulled cultivar Yugu 5 and a brown-hulled cultivar Jigu 31 was used to determine the genetic control of the hull color trait. This population segregated for yellow and brown hull colors in a ratio of 2:1, indicating that hull color is regulated by multiple genetic loci. A bulk segregant analysis-RNA sequencing (BSR-Seq) approach performed using the RNA bulks from 30 lines with brown and yellow hull colors each identified three genomic regions on chromosomes 1 (4,570,517-10,698,955 bp), 2 (40,301,380-46,168,003 bp), and 3 (44,469,860-50,532,757 bp). A new QTL for brown hull color of Jigu 31, QHC.czas1, was detected between bin markers Block43 and Block697 on chromosome 1 with the genetic linkage map constructed by re-sequencing a subset of the 147 RILs. This QTL explained a high level of phenotypic variation ranging from 28.0% to 47.0%. The corresponding genomic region of this QTL in the foxtail millet reference genome overlapped with that detected on chromosome 1 by the BSR-Seq analysis. Nineteen genes associated with biosynthesis of anthocyanin were annotated in this genomic region. Gene Si1g06530 encoding a SANT/Myb domain protein was highly expressed in developing panicles and seeds, which warrants further verification as the candidate gene for the brown color hull of Jigu 31. Moreover, several annotated genes for biosynthesis of anthocyanin were identified in the genomic regions of chromosomes 2 and 3.

Introduction

Foxtail millet [Setaria italica (L.) P. Beauv.] has been grown as a staple food crop for several thousands of years in China. It is also planted in other parts of the world such as eastern Asia, north and south Americas, Africa, and Europe (Yang et al., 2012; Hermuth et al., 2016; Singh et al., 2017). This cereal crop is considered a new model species for functional genomics studies of C4 plants (Peng and Zhang, 2021). The unique characteristics of foxtail millet, for instance, small genome (~515 Mb), short stature and growth duration, self-pollination, and abiotic stress tolerance, have attracted extensive attentions, despite remarkable decline in its production due to the limitation of market demand (Panchal et al., 2022). Foxtail millet is known for its human-friendly nutritional properties, such as dietary fiber, antioxidants, phytochemicals and polyphenols (Muthamilarasan et al., 2016; Sharma and Niranjan, 2018; Yousaf et al., 2021).

Foxtail millet comprises a layer of husk or hull out of seeds (Sharma and Niranjan, 2018). Pigmentation occurs in this layer, making colorful appearance in hulls of millet seeds. Hull colors of foxtail millet were associated with certain nutritional qualities, such as contents of protein, lysine, and fat (He et al., 2002). The correlation between hull color and selenium content was reported (Liu et al., 2009). Hull color also was believed to have a relationship with the magnitude of bird-damage on this millet crop at the maturity stage (Xia et al., 2014). Therefore, hull color is regarded as a useful phenotypic indicator for indirect selection of quality and other agronomic traits in foxtail millet breeding.

Foxtail millet has evolved different hull colors. The majority of the 878 (77.46%) accessions of the Chinese core collections are yellow hull-colored genotype, in addition to small proportions of genotypes with red (8.27%), white (5.64%, and orange (4.20%) hull colors (Wang et al., 2016). Multiple loci regulating different hull colors have been studied using various methods. An early study localized genes for red and green hull colors on chromosomes 1 and 2, respectively, using a series of trisomic lines of foxtail millet (Gao et al., 2003). The foxtail millet anuploids are able to assign target genes on particular chromosomes. Molecular markers are promising tags of genes conferring traits of interest when linkage relationships are established. Genes governing agronomic traits can be localized on specific chromosomal regions as most gene-linked molecular markers possess unique locations on chromosomes (Diao, 2005).

The release of the genomic sequences of foxtail millet greatly facilitates dissection of genes conferring agronomic traits (Bennetzen et al., 2012; Zhang et al., 2012). The popularly used types of molecular markers shifts from sporadically distributed markers such as simple sequence repeat (SSR) to enormous single nucleotide polymorphism (SNP)-based markers throughout the genome. High-density genetic maps can be constructed with SNP markers, which increase the precision of gene localization. A quantitative trait locus (QTL), Sihc1, for green hull color was located in a 354.84 kb physical region using the SNP markers generated by a restriction site-associated DNA sequencing (RAD-seq) analysis (Wang et al., 2017). That study predicted the candidate genes for the green hull color. A genome-wide association study (GWAS) project identified several hull color-associated SNP variants on four chromosomes (Jia et al., 2013).

Cultivars Jigu 31 and Yugu 5 differ in their hull colors. This study was carried out to identify loci conferring hull color using a recombinant inbred line (RIL) population of cross Jigu 31 × Yugu 5 with the aid of SNP markers generated by bulked segregant analysis-RNA-sequencing (BSR-Seq) and genome-re-sequencing methods.

Materials and methods

Plant materials and phenotyping

An F2:6 RIL population consisting of 283 lines was developed from consecutively self-crossing progenies of the cross between Yugu 5, a yellow hull colored cultivar, and Jigu 31 with a brown hull color. This RIL population and their parents were grown in Cangzhou, Hebei province (33°13’N, 116°47’E) in summer and Sanya, Hainan province (18°35’N, 109°19’E) in winter in 2016 and 2017. All plant materials were planted in a randomized complete block design with two replicates. Each plot consisted of single row 5 m long, 74 cm spacing between rows, and about 7 cm between plants. Three panicles were randomly harvested from each line, hand-threshed, and visually observed for their hull colors. A Chi-squared (χ2) was performed with SAS version 9.3 (SAS Institute Inc., Cary, NC, USA) to examine the goodness of fit for the observed separation of yellow and brown hulled RILs from the expected separation ratio for single gene inheritance (1:1) or for multiple gene inheritance (2:1 or others) (Sandler, 2000).

BSR-seq analysis

Thirty lines with consistent brown or yellow hull colors across different experimental locations were separately selected to form the bulked samples (Bulk-Y and Bulk-B) for BSR-Seq analysis. Total RNA was extracted from leaf segments using the RNAsimple Total RNA Kit (Tiangen, Beijing, China) for constructing the RNA libraries. Raw sequencing read generated by RNA-Seq in a platform of Illumina HiSeq4000 were quality controlled using Trimmomatic v0.36 software (Bolger et al., 2014). Clean reads were aligned to the Setaria italica reference genome (http://plants.ensembl.org/Setaria_italica/Info/Annotation/#assembly) (Dobin et al., 2013). The alignment of uniquely mapped reads was masked for PCR duplications prior to SNP and InDel calling with small variant caller Strelka v2 (Kim et al., 2018). The high quality SNPs and InDels with sequencing depth >6 were used to detect the trait-associated variants through BSA with the criteria of allele frequency difference (AFD) >0.8 and P-value of the Fisher’s exact test on read count data <1e-10 (Xie et al., 2020).

Construction of genetic linkage map

A genetic linkage map was constructed by re-sequencing 147 RILs randomly selected from the population of the cross Yugu 5 × Jigu 31 (Tian et al., 2021). Briefly, genomic DNA libraries prepared from leaves of each line and their parents were sequenced on the Illumina Hi Seq2500 (Illumina, Inc., San Diego, CA, USA). The high quality reads were aligned to the S. italica reference genome via the Burrows-Wheeler aligner (Li et al., 2009). After the realignment and base recalibration with the Genome Analysis Toolkit (GATK) v3.6 (McKenna et al., 2010), the data set was subjected to SNP calling using GATK and SAMtools (Li and Durbin, 2009). SNP loci polymorphic between the parents were subjected to bin calling. A linkage map was constructed based on the recombination bins using HighMap software (Liu et al., 2014). The composite interval mapping (CIM) method in Windows QTL Cartographer 2.5 was used for QTL calling with the logarithm of odds (LOD) threshold of 3.0 (Wang et al., 2010). The percentage of the phenotypic variance explained by a QTL was indicated by the determination coefficient (R2%).

Analysis of candidate genes in the target mapping intervals

The QTL for hull color were physically mapped by aligning the sequences of the QTL-flanking markers against the reference genome of foxtail millet with Phytozome Setaria italica v2.2 (https://phytozome.jgi.doe.gov/pz/portal.html#!info?alias=Org_Sitalica). Genes in the target genomic intervals were annotated and those related to anthocyanin synthesis were further analyzed for their expression by MDSi: Multi-omics Database for Setaria italica (http://foxtail-millet.biocloud.net/home) (Zhang et al., 2021).

Results

Phenotypes of hull color

Yugu 5 and Jigu 31 displayed yellow and brown hull colors, respectively, in all environments either in the higher-latitude site (Cangzhou, Hebei province) in summer seasons, or in the lower-latitude site (Sanya, Hainan province) in winter seasons in 2016 and 2017 (Figures 1A, F). It was able to categorize unambiguously hull colors of the RILs as yellow and brown regardless of environments, but there was slight difference in the color intensity among lines in each category (Figures 1C–E, H–J). Hull colors of all the progeny lines were generally consistent with slight variation in color intensity in different locations or years examined, demonstrating that environment has little effect on the hull color performance. The color of hulls was not associated with colors of hulless grains, as the later was always yellow for both Yugu 5 and Jigu 31 (Figures 1B, G). The RIL population segregated for 182 yellow and 101 brown hull colored lines, which agrees with a ratio of 2 (yellow): 1 (brown) (χ2 = 0.6047, P=0.4368) for segregation of multiple loci, rather than in a 1:1 segregation ratio for single locus.

FIGURE 1
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Figure 1 Phenotypic performances of hull and grain colors of foxtail millet cultivars Yugu 5 and Jigu 31 and the selected lines from the cross Yugu 5 × Jigu 31. (A, B), brown hull color and yellow grain color of Jigu 31; (C–E), brown hull color of selected lines; (F, G), yellow hull and grain colors of Yugu 5; (H–J), yellow hull color of selected lines.

BSR-seq-based identification of hull color-associated genomic regions

The statistical parameters generated by RNA sequencing for the yellow- and brown-hulled lines, Bulk-Y and Bulk-B, are shown in Table 1. Most reads for both samples, 93.0% for Bulk-Y and 95.5% for Bulk-B, were mapped to the foxtail millet reference genome. A total of 117,260 SNP variants were identified from the mapped reads by the Strelka software with default parameters, which were scattered on the nine foxtail millet chromosomes (Figure 2A). Among them, 956 variants between Bulk-Y and Bulk-B were potentially trait-associated (P-value <1e-10 and AFD >0.8), which were anchored on all foxtail millet chromosomes (Figure 2B). Chromosomes 1, 2, and 3 harbored the most abundant number of candidate trait-associated SNP variants of 153, 145, and 430, respectively, which appear to be the critical chromosomes associated with hull color performance. Chromosomes 4 to 9 had a smaller number of SNP variants from 18 to 65 and are unlikely associated with the hull color trait. The SNP clusters on chromosomes 1, 2, and 3 were located in 6.13 Mb (4,570,517-10,698,955 bp, 146 SNP loci) (Figure 2C), 5.87 Mb (40,301,380-46,168,003 bp, 122 SNP loci) (Figure 2D), and 6.06 Mb (44,469,860-50,532,757 bp, 362 SNP loci) (Figure 2E) genomic intervals, respectively, indicating their potential association with the hull color trait. P = 0.036

TABLE 1
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Table 1 Statistical parameters of the BSR-Seq analysis for the yellow hulled lines (Bulk-Y) and brown-hulled lines (Bulk-B).

FIGURE 2
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Figure 2 SNPs identified by the BSR-Seq analysis based on the RILs of Yugu 5 × Jigu 31 cross with yellow and brown hull colors. (A) distribution of all SNPs generated by RNA sequencing of the two bulks for the RNA samples of the RILs yellow and brown hull colors (Bulk-Y and Bulk-B, respectively) on different foxtail millet chromosomes. (B) distribution of SNP variants between Bulk-Y and Bulk-B potentially associated with hull color produced by BSR-Seq analysis on different foxtail millet chromosomes. (C–E), SNP variants on chromosomes 1, 2, and 3. The significantly enriched genomic intervals of the candidate SNPs for hull color are marked with red boxes.

Linkage map-based identification of QTL for hull color

A genetic linkage map was previously constructed by means of re-sequencing 147 RILs from cross Yugu × Jigu 31, which spanned a map distance of 1806.77 cM (Tian et al., 2021). A QTL designated QHC-czas1.1, was detected between bin markers Block43 and Block697 in all environments (Table 2 and Figure 3). The LOD values of this QTL ranged from 10.5 to 20.3, and the phenotypic variations explained were in the range of 28.0% to 47.0%. This genetic interval corresponded a genomic region of 18.14 Mb (2,236,038-20,380,190 bp) and overlapped with the genomic region on chromosome 1 (4,570,517-10,698,955 bp) for hull color identified by the BSR-Seq analysis. Because Jigu 31 contributed to this QTL, it controls brown hull color.

TABLE 2
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Table 2 QTL conferring brown hull color identified with the recombinant inbred line population of Yugu 5 × Jigu 31 in four field trials.

FIGURE 3
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Figure 3 Genetic linkage of QHC-czas1 on chromosome 1 conferring brown hull color of Jigu 31. CZ, Cangzhou site; SY, Sanya site.

Annotation and expression of candidate genes

Base on the results of BSR-Seq analysis, three candidate genomic regions on chromosomes 1, 2, and 3 were associated with the hull color. These genomic regions contained various number of genes related to anthocyanin synthesis, including Myc-type basic helix-loop-helix (bHLH) domain genes, SANT/Myb domain genes, WD40 repeat, helix-loop-helix DNA-binding domain superfamily and WD40/YVTN repeat-like-containing domain superfamily (Table 3). The candidate genomic region on chromosome 1 (6.13 Mb, 4,570,517-10,698,955 bp) overlapped with the physical interval (5,486,321-5,495,814 bp) of QHC-czas1.1 detected by re-sequencing of the RIL population (Table 1). This genomic region included 18 genes associated with anthocyanin synthesis out of 574 annotated genes. Gene Si1g06530 was commonly detected in the genomic regions identified by BSR-Seq and the map-based analyses.

TABLE 3
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Table 3 Annotated genes in the genomic regions associated with hull color identified by the BSR-Seq analysis.

The SNPs that were associated with hull color on chromosome 2 were clustered in a 5.87 Mb (40,301,380-46,168,003 bp) genomic interval, which composes 886 annotated genes including 10 genes for anthocyanin synthesis. A 6.06 Mb (44,469,860-50,532,757 bp) genomic interval consisted of the SNP cluster on chromosome 3. It consisted of 651 annotated genes, including 18 genes for anthocyanin synthesis (Table 3). The genes associated with anthocyanin synthesis on these chromosomes include Myc-type basic helix-loop-helix (bHLH) domain genes (13 genes), SANT/Myb domain genes (6 genes), WD40 repeat (8 genes), and WD40/YVTN repeat-like-containing domain superfamily (one gene).

The transcriptional patterns of the genes related to anthocyanin synthesis were analyzed with a web-based database containing 29 sets of expressions for different growth stages of foxtail millet (http://foxtail-millet.biocloud.net/page/tools/expressionVisualization). Genes Si1g06530 (SANT/Myb domain) and Si1g12170 (bHLH) on chromosome 1, Si2g32330 (SANT/Myb domain), Si2g32790 (WD40 repeat), Si2g34400 (bHLH), Si2g35120 (bHLH), and Si2g36170 (WD40 repeat) on chromosome 2, and Si3g34550 (SANT/Myb domain), Si3g36330 (SANT/Myb domain), Si3g37620 (WD40 repeat), and Si3g38390 (WD40 repeat) on chromosome 3 were expressed in developing panicles and seeds at different developmental stages (Figure 4).

FIGURE 4
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Figure 4 Heatmap for the expression of the annotated genes related to anthocyanin biosynthesis in the candidate genomic regions in 29 datasets of expression in foxtail millet. The datasets were extracted from MDSi: Multi-omics Database for Setaria italica (http://foxtail-millet.biocloud.net/). Genes expressed in developing seeds and panicles are indicated by red fonts. 1, JG21_Germinated-seeds_3-days; 2, JG21_Plant_one-tip-two-leaf; 3, JG21_Leaf-top-2-3_2-days-after-heading; 4, JG21_Neck-panicle-internodes_Filling-stage; 5, JG21_Flag-leaf_filling-stage; 6, JG21_Flag-leaf-sheath_filling-stage; 7, JG21_Stem-top-second_Filling-stage; 8, JG21_Leaf-top-foruth_filling-stage; 9, JG21_Leaf-sheath-top-foruth_filling-stage; 10, JG21_Root_Filling-stage; 11, JG21_Panicle_Primary-panicle-branch-differentiation-stage; 12, JG21_Panicle_Third-panicle-branch-differentiation-stage; 13, JG21_Immature-spikelet_S2; 14, JG21_Immature-spikelet_S4; 15, JG21_Immature-seed_S1; 16, JG21_Immature-seed_S2; 17, JG21_Immature-seed_S3; 18, JG21_Immature-seed_S4; 19, JG21_Immature-seed_S5; 20, JG21_Seed_30-days-after-maturation; 21, JG21_Seed_60-days-after-maturation; 22, JG21_Leaf-veins_S3; 23, JG21_Mesophyll_S3; 24, Xiaomi_Leaf_3-weeks-plant; 25, Xiaomi_Leaf-top-second_Boot-stage; 26, Xiaomi_Panicle_2-days-after-heading; 27, Xiaomi_Panicle_Pollination-stage; 28, Xiaomi_Panicle_Filling-stage; and 29, Xiaomi_Stem_Filling-stage.

Discussion

Hull color is an obvious phenotypic trait that can be visualized easily. Segregation of yellow and brown hull colors with different color intensities in the RIL population derived from Yugu 5 × Jigu 31 indicates that multiple genetic loci are involved in controlling hull color. We identified three genomic regions on chromosomes 1, 2, and 3 for brown hull color of Jigu 31 by means of the BSR-Seq analysis. We further identified a QTL, QHC-czas1.1, on chromosome 1 in Jigu 31 using a genetic map constructed with re-sequencing of the RIL population. This QTL plays a major role in governing hull color as the phenotypic variations explained was as high as 28.0%-47.0%.

Foxtail millet accumulates pigments on husks, making seeds appear different colors (Wang et al., 2016). Jia et al. (2013) carried out a GWAS project and identified 11 SNP variants that are associated with hull color on chromosomes 1, 6, 7, and 9 of foxtail millet. Three of them were detected in genomic loci at 5,480,719, 5,467,847, and 5,476,983 bp on chromosome 1. A QTL, Sihc1, on chromosome 6 was reported to confer green hull color (Wang et al., 2017). Li et al. (2015) identified a single locus SeC-1 conferring hull color on chromosome 7 using a residue heterozygous line differing in red and black hull colors. These results also provide evidence that hull color of foxtail millet is controlled by different genetic loci.

Pigmentation in plant tissues results from anthocyanin biosynthesis, which involves structural and regulatory genes. Several classes of transcription factors, such as MYB, bHLH, and WD40, are known to regulate anthocyanin synthesis in various plant species, such as Arabidopsis thaliana L., maize (Zea mays L.), and tomato (Solanum lycopersicum L.) (Broun, 2005; Koes et al., 2005; Petroni and Tonelli, 2011). In this study, we identified a number of genes for the classes of transcription factor genes containing bHLH, SANT/Myb, and WD40 domains in the genomic regions on chromosomes 1, 2, and 3 that are associated with hull color. Some of them are highly expressed in developing panicles or seeds. In particular, Si1g06530 encoding a SANT/Myb domain protein was commonly detected by the analyses of BSR-Seq and the genetic linkage map. It is preferentially expressed in several data sets in the developmental stages of panicle differentiation, immature-spikelets and immature-seeds. This gene warrants further verification as a candidate gene regulating hull color by genomic editing and transgenic approaches.

Pigmentation also occurs in other millet tissues, such as leaf blade and sheath, pulvinus, anther, pericarp, aleurone, and grain, which involves different genetic mechanisms for regulating the accumulation of anthocyanin. The accumulation of pigmentations in different tissues may not be necessarily related. For example, the grain color of Yugu 5 and Jigu 31 is yellow despite that these cultivars differ in their hull color. Pigmentation in millet tissues is beyond as an apparent trait, it may be associated with functional properties that benefit humans. Therefore, many studies have been carried out to understand the genetic controls of pigmentation in foxtail millet. Although the genetic mechanisms underpinning biosynthesis of anthocyanin in other plant species are well characterized (Koes et al., 2005; Petroni and Tonelli, 2011), the regulatory mechanism of pigmentation in foxtail millet tissues is rarely studied until a recent report by Bai et al. (2020). That study mapped a locus PPLS1 on chromosome 7 conferring the color in pulvinus and leaf sheath in foxtail millet. PPLS1 proved to interact with a MYB transcription factor for regulating the expression of anthocyanin.

A rice gene BBH/Lsi1 on chromosome 2 regulates black-brown hull of rice by reducing silicon deposition and accumulating flavonoid (Yang et al., 2018). Sun et al. (2018) proposed a C-S-A gene model for pigmentation of rice hull. C1, a color-producing gene encoding a R2R3-MYB transcription factor, interacts with S1, encoding a bHLH protein, and activates expression of A1, encoding a dihydroflavonol reductase. As the reference genome sequence of foxtail millet is available, it may not be difficult to develop more molecular markers to finely map and cloning of the candidate genes and disclose the regulatory mechanism underlying hull color trait. The availability of genome sequences for a large number of foxtail millet cultivars and breeding lines with clear hull color performances and multi-omics approaches will facilitate this process (Jia et al., 2013; Li et al., 2022). The identification of genomic regions associated with anthocyanin biosynthesis, in particular highly expressed gene Si1g06530 in panicle, can serve as a good start for studying regulatory mechanism of hull color in foxtail millet.

In summary, we identified a major QTL for brown hull color of foxtail millet cultivar Jigu 31 on chromosome 1 using a genetic link map constructed with re-sequencing a RIL population of cross Yugu 5 × Jigu 31. Three genomic regions associated with hull color were identified on chromosome 1, 2, and 3 by BSR-Seq analysis. Forty-seven genes related for anthocyanin biosynthesis were observed in these genomic regions. Some of them were highly expressed in developing panicles and seeds of foxtail millet. Gene Si1g06530 encoding a SANT/Myb domain protein on chromosome 1 was present in the overlapped genomic region commonly detected by the genetic linkage map and BSR-Seq analyses, which can be a candidate gene for the brown hull color of Jigu 31.

Data availability statement

The data presented in the study are deposited in the National Genomics Data Center (https://ngdc.cncb.ac.cn/;NGDC) repository, accession number CRA008186.

Authors contributions

HL and BT conceived and designed the study. BT developed the population. BT, LXZ, YL, WP, and LLZ conducted the field experiments. JH performed sequencing data analysis. HL wrote the manuscript. All authors contributed to the article and approved the submitted version.

Funding

The financial support provided by the Ministry of Agriculture of P.R. China (CARS-06-13.5-B1) is gratefully acknowledged.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

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References

Bai, H., Song, Z. J., Zhang, Y., Li, Z. Y., Wang, Y. F., Liu, X., et al. (2020). The bHLH transcription factor PPLS1 regulates the color of pulvinus and leaf sheath in foxtail millet (Setaria italica). Theor. Appl. Genet. 133, 1911–1926. doi: 10.1007/s00122-020-03566-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Bennetzen, J. L., Schmutz, J., Wang, H., Percifield, R., Hawkins, J., Pontaroli, A. C., et al. (2012). Reference genome sequence of the model plant. Setaria. Nat. Biotechnol. 30, 555–561. doi: 10.1038/nbt.2196

CrossRef Full Text | Google Scholar

Bolger, A. M., Lohse, M., Usadel, B. (2014). Trimmomatic: a flexible trimmer for illumina sequence data. Bioinformatics 30, 2114–2120. doi: 10.1093/bioinformatics/btu170

PubMed Abstract | CrossRef Full Text | Google Scholar

Broun, P. (2005). Transcriptional control of flavonoid biosynthesis: a complex network of conserved regulators involved in multiple aspects of differentiation in Arabidopsis. Curr. Opin. Plant Biol. 8, 272–279. doi: 10.1016/j.pbi.2005.03.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Diao, X. M. (2005). Adance in foxtial millet biotechnology and its future directions. J. Hebei Agric. Sci. 9, 61–68. doi: 10.16318/j.cnki.hbnykx.2005.04.018

CrossRef Full Text | Google Scholar

Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., et al. (2013). STAR: ultrafast universal RNA-seq aligner. Bioinformatics 29, 15–21. doi: 10.1093/bioinformatics/bts635

PubMed Abstract | CrossRef Full Text | Google Scholar

Gao, J. H., Wang, R. Q., Mao, L. P., Diao, X. M. (2003). Chromosome locating of dwarf gene in foxtail millet An’ai3. Acta Agron. Sin. 29, 152–154.

Google Scholar

Hermuth, J., Janovská, D., Čepková, P. H., Ustak, S., Strašil, Z., Dvoráková, Z. (2016). “Sorghum and foxtail millet - promising crops for the changing climate in central Europe,” in Alternative crops and cropping systems. Ed. Konvalina, P. (Rijeka: In Tech), 3–28.

Google Scholar

He, J. H., Yang, T. Y., Wu, G. Z. (2002). Evaluation on nutritive quality of local varieties for foxtail millet in gansu province. J. Plant Genet. Resour. 3, 41–44. doi: 10.13430/j.cnki.jpgr.2002.01.009

CrossRef Full Text | Google Scholar

Jia, G. Q., Huang, X. H., Zhi, H., Zhao, Y., Zhao, Q., Li, W. J., et al. (2013). A haplotype map of genomic variations and genome-wide association studies of agronomic traits in foxtail millet (Setaria italica). Nat. Genet. 45, 957. doi: 10.1038/ng.2673

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, S., Scheffler, K., Halpern, A. L., Bekritsky, M. A., Noh, E., Källberg, M., et al. (2018). Strelka2: fast and accurate calling of germline and somatic variants. Nat. Methods 15, 591–594. doi: 10.1038/s41592-018-0051-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Koes, R., Verweij, W., Quattrocchio, F. (2005). Flavonoids: a colorful model for the regulation and evolution of biochemical pathways. Trends Plant Sci. 10, 236–242. doi: 10.1016/j.tplants.2005.03.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, H., Durbin, R. (2009). Fast and accurate short read alignment with burrows wheeler transform. Bioinformatics 25, 1754–1760. doi: 10.1093/bioinformatics/btp324

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, X. K., Gao, J. H., Song, J. Y., Guo, K., Hou, S. Y., Wang, X. C., et al. (2022). Multi-omics analyses of 398 foxtail millet accessions reveal genomic regions associated with domestication, metabolite traits and anti-inflammatory effects. Mol. Plant. doi: 10.1016/j.molp.2022.07.003

CrossRef Full Text | Google Scholar

Li, H. Q., Geng, L. L., Zhi, H., Wang, Y. F., Li, Z. X., Xiang, J. Y., et al. (2015). Fine mapping of millet hull color gene SeC-1 based on residual heterozygote line in foxtail millet. Proceedings of the Crop Science Society of China, Harbin, Heilongjiang Province, China, Vol. 46.

Google Scholar

Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., et al. (2009). The sequence alignment/map (SAM) format and SAMtools. Bioinformatics 25, 2078–2079. doi: 10.1093/bioinformatics/btp352

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, D. Y., Ma, C. X., Hong, W. G., Huang, L., Liu, M., Liu, H., et al. (2014). Construction and analysis of high density linkage map using high-throughput sequencing data. PloS One 9, e98855. doi: 10.1371/journal.pone.0098855

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, S. C., Zhu, Z. H., Li, W. X., Liu, F., Li, Y. (2009). Evaluation of selenium and protein content of foxtail millet landraces originated from different ecogical regions of China. Sci. Agric. Sin. 42, 3812–3818. doi: 10.3864/j.issn.0578-1752.2009.11.007

CrossRef Full Text | Google Scholar

McKenna, A., Hanna, M., Banks, E., Sivachenko, A., Cibulskis, K., Kernytsky, A., et al. (2010). The genome analysis toolkit: a MapReduce framework for analyzing next generation DNA sequencing data. Genome Res. 20, 1297–1303. doi: 10.1101/gr.107524.110

PubMed Abstract | CrossRef Full Text | Google Scholar

Muthamilarasan, M., Dhaka, A., Yadav, R., Prasad, M. (2016). Exploration of millet models for developing nutrient rich graminaceous crops. Plant Sci. 242, 89–97. doi: 10.1016/j.plantsci.2015.08.023

PubMed Abstract | CrossRef Full Text | Google Scholar

Panchal, A., Singh, R. K., Prasa, M. (2022). Recent advancements and future perspectives of foxtail millet. Plant Growth Regul. doi: 10.1007/s10725-022-00858-1

CrossRef Full Text | Google Scholar

Peng, R. H., Zhang, B. H. (2021). Foxtail millet: A new model for C4 plants. Trends Plant Sci. 26, 199–201. doi: 10.1016/j.tplants.2020.12.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Petroni, K., Tonelli, C. (2011). Recent advances on the regulation of anthocyanin synthesis in reproductive organs. Plant Sci. 181, 219–229. doi: 10.1016/j.plantsci.2011.05.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Sandler, I. (2000). Development: Mendel's legacy to genetics. Genetics 154, 7–11. doi: 10.1093/genetics/154.1.7

PubMed Abstract | CrossRef Full Text | Google Scholar

Sharma, N., Niranjan, K. (2018). Foxtail millet: Properties, processing, health benefits, and uses. Food Rev. Int. 34, 329–363. doi: 10.1080/87559129.2017.1290103

CrossRef Full Text | Google Scholar

Singh, R. K., Muthamilarasan, M., Prasad, M. (2017). “Foxtail millet: an introduction,” in The foxtail millet genome, compendium of plant genomes. Ed. Prasad, M. (Cham, Switzerland: Springer International Publishing), 1–9.

Google Scholar

Sun, X. M., Zhang, Z. Y., Chen, C., Wu, W., Ren, N. N., Jiang, C. H., et al. (2018). The C-S-A gene system regulates hull pigmentation and reveals evolution of anthocyanin biosynthesis pathway in rice. J. Exp. Bot. 69, 1485–1498. doi: 10.1093/jxb/ery001

PubMed Abstract | CrossRef Full Text | Google Scholar

Tian, B. H., Zhang, L. X., Liu, Y. L., Wu, P. P., Wang, W., Zhang, Y., et al. (2021). Identification of QTL for resistance to leaf blast in foxtail millet by genome re-sequencing analysis. Theor. Appl. Genet. 134, 743–754. doi: 10.1007/s00122-020-03730-w

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, S., Basten, J. C., Zeng, Z. B. (2010). Windows QTL cartographer 2.5. department of statistics (Raleigh: North Carolina State University).

Google Scholar

Wang, H. G., Jia, G. Q., Zhi, H., Wen, Q. F., Diao, X. M. (2016). Phenotypic diversity evaluations of foxtail millet core collections. Acta Agron. Sin. 42, 19–30. doi: 10.3724/SP.J.1006.2016.00019

CrossRef Full Text | Google Scholar

Wang, J., Yang, H. Q., Du, G. H., Wang, Z. L., Zou, H. F., Du, X. F., et al. (2017). Mapping of Sihc1, which controls hull color, using a high-density genetic map based on restriction site-associated DNA sequencing in foxtail millet [Setaria italica (L.) p. beauv.]. Mol. Breed. 37, 128. doi: 10.1007/s11032-017-0727-4

CrossRef Full Text | Google Scholar

Xia, X. Y., Shi, Z. G., Zhang, T., Chen, Y., Xiang, J. Y., Ji, X. M., et al. (2014). The research on bird-disaster degree in different grain colors of foxtail millet lines. J. Hebei Agric. Sci. 18, 4–6. doi: 10.16318/j.cnki.hbnykx.2014.02.006

CrossRef Full Text | Google Scholar

Xie, J. Z., Guo, G. H., Wang, Y., Hu, T. Z., Wang, L. L., Li, J. T., et al. (2020). A rare single nucleotide variant in Pm5e confers powdery mildew resistance in common wheat. New Phytol. 228, 1011–1026. doi: 10.1111/nph.16762

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, X. Y., Wan, Z. W., Perry, L., Lu, H. Y., Wang, Q., Zhao, C. H., et al. (2012). Early millet use in northern China. Proc. Natl. Acad. Sci. U.S.A. 109, 3726–3730. doi: 10.1073/pnas.1115430109

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, C. Y., Zeng, D. D., Qin, R., Alamin, MD., Jin, X. L., Shi, C. H. (2018). Rice gene, BBH/Lsi1, regulates the color of rice hull by reducing the absorption and deposition of silicon and accumulating excess flavonoid. Plant Growth Regul. 85, 133–142. doi: 10.1007/s10725-018-0379-3

CrossRef Full Text | Google Scholar

Yousaf, L., Hou, D. Z., Liaqat, H., Shen, Q. (2021). Millet: a review of its nutritional and functional changes during processing. Food Res. Int. 142, 110197. doi: 10.1016/j.foodres.2021.110197

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, G. Y., Liu, X., Quan, Z. W., Cheng, S. F., Xu, X., Pan, S. K., et al. (2012). Genome sequence of foxtail millet (Setaria italica) provides insights into grass evolution and biofuel potential. Nat. Biotechnol. 30, 549–554. doi: 10.1038/nbt.2195

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, L. L., Zhi, H., Tang, S., Zhang, R. L., Zhang, W., Jia, G. Q., et al. (2021). Characterizations of transcriptional and haplotypic variations of SiTOC1 in foxtail millet. Sci. Agric. Sin. 54, 2273–2286. doi: 10.3864/j.issn.0578-1752.2021.11.003

CrossRef Full Text | Google Scholar

Keywords: Setaria italica, hull color, BSR-Seq, genome re-sequencing, molecular mapping

Citation: Tian B, Zhang L, Hu J, Liu Y, Zhou L, Ping W, Zou J and Li H (2022) Genetic characterization of hull color using BSR-Seq and genome re-sequencing approaches in foxtail millet. Front. Plant Sci. 13:1019496. doi: 10.3389/fpls.2022.1019496

Received: 15 August 2022; Accepted: 09 September 2022;
Published: 03 October 2022.

Edited by:

Hongwei Wang, Shandong Agricultural University, China

Reviewed by:

Yanan Guan, Shandong Academy of Agricultural Sciences, China
Guiping Yan, North Dakota State University, United States

Copyright © 2022 Tian, Zhang, Hu, Liu, Zhou, Ping, Zou and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Bohong Tian, dGlhbmJvaG9uZ0AxMjYuY29t; Hongjie Li, bGlob25namllQGNhYXMuY24=

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