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Genetic diversity and relationships of broomcorn millet based on trnT-trnL and GBSSI sequences

  • Xiaohan Yu ,

    Contributed equally to this work with: Xiaohan Yu, Funa Tan, Xiaoxing Wang

    Roles Conceptualization, Data curation, Methodology, Writing – original draft

    Affiliation Institute of Crop Sciences, State Key Laboratory of Crop Gene Resources and Breeding, Chinese Academy of Agricultural Sciences, Beijing, China

  • Funa Tan ,

    Contributed equally to this work with: Xiaohan Yu, Funa Tan, Xiaoxing Wang

    Roles Conceptualization, Data curation, Methodology, Writing – review & editing

    Affiliation Institute of Crop Sciences, State Key Laboratory of Crop Gene Resources and Breeding, Chinese Academy of Agricultural Sciences, Beijing, China

  • Xiaoxing Wang ,

    Contributed equally to this work with: Xiaohan Yu, Funa Tan, Xiaoxing Wang

    Roles Writing – review & editing

    Affiliation College of Biological Sciences and Technology, YiLi Normal University, Yili, China

  • Jiandong Ren,

    Roles Data curation, Formal analysis, Methodology

    Affiliation College of Biological Sciences and Technology, YiLi Normal University, Yili, China

  • Shaoxiong Liu,

    Roles Data curation, Investigation, Validation, Visualization

    Affiliation Institute of Crop Sciences, State Key Laboratory of Crop Gene Resources and Breeding, Chinese Academy of Agricultural Sciences, Beijing, China

  • Yue Wang,

    Roles Data curation, Formal analysis, Methodology

    Affiliation Institute of Crop Sciences, State Key Laboratory of Crop Gene Resources and Breeding, Chinese Academy of Agricultural Sciences, Beijing, China

  • Xuxia Xin,

    Roles Data curation, Investigation, Validation

    Affiliation Institute of Crop Sciences, State Key Laboratory of Crop Gene Resources and Breeding, Chinese Academy of Agricultural Sciences, Beijing, China

  • Ruonan Wang,

    Roles Data curation, Investigation, Validation

    Affiliation Institute of Crop Sciences, State Key Laboratory of Crop Gene Resources and Breeding, Chinese Academy of Agricultural Sciences, Beijing, China

  • Yingxing Zhang,

    Roles Data curation, Investigation, Validation

    Affiliation Institute of Crop Sciences, State Key Laboratory of Crop Gene Resources and Breeding, Chinese Academy of Agricultural Sciences, Beijing, China

  • Zhaoyan Chen ,

    Roles Project administration, Resources

    liuminxuan@caas.cn (ML); xiangjsh@126.com (JX); chenzhaoyan@caas.cn (ZC)

    Affiliation Institute of Crop Sciences, State Key Laboratory of Crop Gene Resources and Breeding, Chinese Academy of Agricultural Sciences, Beijing, China

  • Jishan Xiang ,

    Roles Conceptualization, Funding acquisition, Project administration, Resources, Supervision

    liuminxuan@caas.cn (ML); xiangjsh@126.com (JX); chenzhaoyan@caas.cn (ZC)

    Affiliations College of Biological Sciences and Technology, YiLi Normal University, Yili, China, Chifeng University, Chifeng, China

  • Minxuan Liu

    Roles Conceptualization, Funding acquisition, Project administration, Resources, Supervision

    liuminxuan@caas.cn (ML); xiangjsh@126.com (JX); chenzhaoyan@caas.cn (ZC)

    Affiliation Institute of Crop Sciences, State Key Laboratory of Crop Gene Resources and Breeding, Chinese Academy of Agricultural Sciences, Beijing, China

Abstract

Broomcorn millet (Panicum miliaceum L.) is the oldest crop originating in China. The routes of transmission have been the focus of broomcorn millet research. This study evaluated genetic diversity and relationship of 430 broomcorn millet accessions (369 domestic accessions from nine regions and 61 foreign accessions from twenty-four counties) based on the chloroplast DNA trnT-trnL spacer sequence and nuclear DNA GBSSI sequence to explore the domestication of broomcorn millet. The trnT-trnL sequence was highly conserved, while the diversity of GBSSI sequence was significantly higher. Results of this study suggest that broomcorn millet may have originated from the core area (including Shanxi, Shaanxi, Inner Mongolia, Ningxia and Gansu) and then spread westward to Xinjiang and into Eurasia, or eastward from Shanxi to Hebei, Inner Mongolia and northeast China. Xinjiang is crucial for broomcorn millet to spread westward. This study revealed the genetic diversity of broomcorn millet accessions from different geographical sources, laying a theoretical foundation for further analysis of the evolutionary origin of this taxon.

1 Introduction

Broomcorn millet (Panicum miliaceum L.) was originated from China and domesticated approximately 10,000 years ago [1,2], mainly cultivated in semi-arid regions in Asia and Europe [3]. It has short growth cycles and low water and nutrient requirements, as well as high salt and alkali resistance, making it an excellent crop for overcoming abiotic stresses [4,5]. In addition, broomcorn millet is rich in protein, vitamins, calcium, iron, zinc, and other mineral elements. Therefore, it is also a crop with high commercial value. The total cultivation area of broomcorn millet has been maintained at about 1.5 million ha in recent decades.

To develop new germplasm resources, the genetic diversity and relationships of broomcorn millet populations need to be compared and evaluated. At present, research on that mainly involves morphological and molecular markers, such as SSRs, AFLPs, and RAPD markers [68]. Although DNA sequencing technology is commonly used to explain the diversity and reveal the evolutionary processes in many crops due to its advantages of high accuracy, the application of DNA sequences to study broomcorn millet is relatively rare. Common nuclear genome sequences used in analysis include ITS, GBSSI, and FLO/LFY [4,9]. Li et al.[10] used ITS and ETS sequences to conduct molecular identification of broomcorn millet remains dug from Xiaohe cemetery, which provided key information about the domestication and spread of broomcorn millet. The chloroplast genome is single-parent, with small molecular weight, simple structure and relatively conservative sequence, making it a good choice for studying the relationship between crop species. At present, commonly used chloroplast genome sequences include rbcL, ndhF, matK and trnT-trnL spacer sequences [10]. Hollingsworth et al. [11] and Aliscioni et al. [12] used rbcL, matK, and ndhF to study broomcorn millet species and found that the rbcL and matK markers could identify broomcorn millet species, but they couldn’t effectively distinguish phylogeny; the ndhF gene failed to differentiate species. Meng [13] analyzed the genetic diversity of broomcorn millet, explored its relationship with some wild relatives based on the non-coding region sequence of chloroplast DNA, he found that the cpDNA non-coding region sequence was conserved within broomcorn species, but there was polymorphism among species. In the phylogenetic tree based on the trnH-psbA sequence, broomcorn millet and Pamicum capillare were clustered together, and Meng [13] speculated that Pamicum capillare might be the ancestor of broomcorn millet.

In this study, a large number of broomcorn millet accessions from thirty-three countries or regions were used. By analyzing the sequence polymorphisms and phylogenetic trees of 430 broomcorn millet accessions based on the cpDNA trnT-trnL and nrDNA GBSSI sequences, we obtained more genetic information of broomcorn millet accessions, and the results supported the origination of broomcorn millet in China. The resulting data will lay the foundation for the origin and evolution of broomcorn millet.

2 Materials and methods

2.1 Plant materials

A set of 430 broomcorn millet accessions from the Institute of Crop Sciences of the Chinese Academy of Agricultural Sciences were used (Table 1). The samples included 369 domestic accessions and 61 foreign accessions. These accessions were divided into 15 populations according to their source, including Ningxia, Shanxi, Inner Mongolia, Hebei, Liaoning, Heilongjiang, Shaanxi, Xinjiang, and Gansu population of China and Asia, Europe, South America, North America, Oceania, and Africa population respectively. Additional information about broomcorn millet accessions was given in S1 Table.

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Table 1. Region and number of materials from each country of broomcorn millet.

https://doi.org/10.1371/journal.pone.0325433.t001

2.2 DNA extraction

Genomic DNA was isolated by the DNA extraction kit provided by Beijing Dingguo Changsheng Biological Co. Ltd using 50 mg young leaf tissue. The quality of the DNA was checked on 1% agarose gel electrophoresis, and the DNA concentration was checked on an ultra-micro spectrophotometer (P360). The final concentration of each DNA sample was adjusted to 30 ng·μL −1 and stored at −20°C.

2.3 Primer design and synthesis

The cpDNA trnT-trnL sequence with ID JQ972982.1 and nrDNA GBSSI sequence with ID FJ430153.1 of broomcorn millet were retrieved from GenBank. Primers were designed using Primer 5.0 software. The primers used for trnT-trnL were forward 5’-ATGCGATGCTCTAACCTCTG-3’ and reverse 5’-CAATCAAGTCCGTAGCGTCT-3’. The primers for GBSSI were forward 5’-CACCGTGAGCCCCTACTACGCCGAG-3’ and reverse 5’- TACCGTGCCGTATCGCATCCCCT-3’. All primers were synthesized by Shanghai Yingjie Jieji Trading Co. Ltd.

2.4 PCR amplification and sequencing

PCR amplification reactions were carried out in a MY-CYCLER PCR. Polymerase chain reaction (PCR) of trnT-trnL sequence was conducted with a reaction volume of 50 μL, containing 5 μL 10 × PCR buffer, 4 μL 2.5 mmol·L-1 dNTP, 0.5 μLTaq polymerase (5.0 U·μL −1), 1 μL primers, 2 μL DNA, and 36.5 μL ddH2O. The following PCR program was used: initial denaturation of 5 min at 95oC, followed by 35 cycles of denaturation at 30 s at 95oC, annealing for 30 s at 57oC, extension for 1 min at 72oC, and a final extension for 10 min at 72oC.

Polymerase chain reaction (PCR) amplifications of GBSSI were performed in a total volume of 50 μL, containing 2 μL DNA, 2 μL primers, 44 μL 1 × T3 Super PCR Mix. The following PCR program was used: initial denaturation of 2 min at 98oC, followed by 30 cycles of denaturation at 10 s at 98oC, annealing 10 s at 57oC, extension for 1 min at 72oC, and a final extension for 5 min at 72oC. The amplified products were visualized on 1% agarose gel electrophoresis and sequenced by Shanghai Bioengineering Co. Ltd.

2.5 Data analysis

The sequences were spliced using DNAMAN software. MEGA7.0.26 was used for multiple sequence alignment and calculating the following measures of the sequence: sequence length, conserved sites, variable sites, and parsimony informative sites. Genetic distance between populations and within populations was evaluated by MEGA7.0. A phylogenetic tree was estimated using Jukes-Cantor distances with the Neighbor-Joining method (N-J). DnaSP5.0 software was used to analyze sequence diversity including nucleotide diversity (π) and segregating site polymorphisms (θw). Gene flow (Nm), the coefficient of genetic differentiation (Fst), Tajima’s D value, Fu and Li’s D*, and Fu and Li’s F* were calculated using DnaSP5.0.

3 Results

3.1 Analysis of trnT-trnL and GBSSI sequence features

The aligned trnT-trnL sequence yielded a total of 761 sites, including 733 conserved sites, 10 variable sites, two parsimony informative sites, eight singleton variable sites, 18 indel sites, and the G + C content was 25.4%. The accession from Gansu, China had the most abundant variation sites (10 variable sites including 1 parsimony informative site). There were no variable sites and indels in accessions from Shaanxi, Europe, South America, North America, Oceania, and Africa. Length variation and base composition of aligned GBSSI sequences from the studied accessions were 690 bp long, including 194 conserved sites, 420 variable sites, 376 parsimony informative sites, 44 singleton variable sites, 76 indel sites, and a G + C content of 59.5%. The analysis of the GBSSI sequences showed that the accessions from Gansu, China had the most abundant variable sites, with a total of 700 sites, including 351 variable sites and 62 indels. The G + C content and the number of variable sites in GBSSI sequence were significantly higher than those in trnT-trnL sequence, indicating that more variation is contained in GBSSI sequence. In analysis of both trnT-trnL and GBSSI sequences, the most abundant variable sites were found in Gansu accession.

3.2 Analysis of genetic diversity of trnT-trnL and GBSSI sequences of broomcorn millet

The total number of segregating sites (S) of 430 accessions was 10, the haplotype diversity (Hd) was 0.0640, the nucleotide diversity (π) was 0.00014, and the average number of segregating site polymorphisms (θw) was 0.00203 for the trnT-trnL sequence. Fig 1 shows the trend of variations of nucleotide diversity (π) and segregating site polymorphisms in trnT-trnL, and the highly variable sites were concentrated in the 450–600 bp region. The GBSSI sequence is rich in polymorphisms. It had 420 segregating sites (S) and the haplotype diversity (Hd) was 0.9976. The nucleotide diversity (π) was 0.11025, and the average number of segregating site polymorphisms (θw) was 0.13221. There were some differences in the changes of π and θw in different regions (Fig 2), indicating that the distribution of the sequence polymorphisms in broomcorn millet GBSSI is uneven in each region.

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Fig 1. The variations of nucleotide diversity (π) and segregating site polymorphisms (θw) in trnT-trnL.

https://doi.org/10.1371/journal.pone.0325433.g001

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Fig 2. The variations of nucleotide diversity (π) and segregating site polymorphisms (θw) in GBSSI.

https://doi.org/10.1371/journal.pone.0325433.g002

As evidenced by the estimates of wild accessions and local varieties polymorphisms of the trnT-trnL sequence listed in Table 2, the Hd value of local varieties (0.068) was higher than that of wild resources (0.046), which might be due to the abundant source of local varieties. The Hd value of Inner Mongolian wild population in China was the highest at 0.182; the wild accession from Ningxia, China was second at 0.133. The π and θw values of the accessions from Inner Mongolia were 0.00024 and 0.00045, respectively. There was a high nucleotide diversity. The polymorphism analysis of the GBSSI sequence showed (Table 3) that the Hd values of all populations were very high. The population nucleotide diversity of the wild accessions from Shanxi (0.10143) and Heilongjiang (0.12624) in China was significantly higher than that of other wild accessions; Ningxia (0.002200) population had the lowest nucleotide diversity.

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Table 2. Estimates of genetic diversity between wild accessions and local varieties of broomcorn millet based on trnT-trnL sequences.

https://doi.org/10.1371/journal.pone.0325433.t002

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Table 3. Estimates of genetic diversity between wild accessions and local varieties of broomcorn millet based on GBSSI sequences.

https://doi.org/10.1371/journal.pone.0325433.t003

Overall, the diversity of each population was various in different sequence analysis, indicating that the diversity of sequences varied with different gene types. The Hd values of of GBSSI sequences of wild accessions and local varieties were much greater than 0.5, and the π values were much larger than 0.005, indicating that the genetic diversity of the GBSSI sequence of broomcorn millet was very high. In comparison, the genetic diversity of trnT-trnL was lower. In the wild populations, the genetic diversity of resources in Shanxi, Inner Mongolia and Heilongjiang were higher and their genetic resources were abundant.

3.3 Neutrality tests

Tajima’s D, Fu and Li’s D*, and Fu and Li’s F* tests can be used to measure the evolution of trnT-trnL and GBSSI in broomcorn millet. At the species level, the Tajima’s D of the trnT-trnL sequence was significantly negative; Fu and Li’s D* and Fu and Li’s F* values were extremely significantly negative (Table 4), indicating that the diversity of the broomcorn millet trnT-trnL sequence was a deviation from the neutral evolution pattern. Among them, the Tajima’s D value of the samples from Gansu, China was significant, indicating that negative selection in the long-term evolution of this population. In addition, the population from Gansu was rich in diversity. This is consistent with the results of the sequence polymorphism analysis. Tajima’s D neutrality test of the GBSSI sequence at the species level was negative but not significant. At the population level, Tajima’s D of the Shanxi, Inner Mongolia, Liaoning, Heilongjiang, European, and North American populations were all positive, indicating that the broomcorn millet GBSSI sequences from these populations underwent positive selection during evolution.

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Table 4. Neutrality test of 14 broomcorn millet populations.

https://doi.org/10.1371/journal.pone.0325433.t004

3.4 Population genetic similarity and genetic structure analysis

The sequence similarity of trnT-trnL was high. The intra-species and inter-species genetic distances were 0.000. For the nrDNA GBSSI sequences, the genetic distance within the population from Shaanxi, China was the largest (Table 5), indicating Shaanxi population may contain varied originations. This is followed by Heilongjiang population. The genetic distance between wild and local populations ranged from 0.082 to 0.131 (Table 6). The genetic distance between Heilongjiang and the other populations was the largest, all greater than 0.100, indicating that Heilongjiang was genetically distant from the other populations. The genetic distance between local varieties and Hebei wild population was small, indicating that they were genetically closely related.

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Table 5. Genetic distances within 15 populations based on GBSSI sequences.

https://doi.org/10.1371/journal.pone.0325433.t005

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Table 6. Genetic distances between wild populations and local varieties based on GBSSI sequences.

https://doi.org/10.1371/journal.pone.0325433.t006

The genetic differentiation coefficient (Fst) can be used to assess the distribution of genetic variation within and between populations. Gene flow (Nm) is an important factor affecting genetic variation. The Fst of trnT-trnL was 0.05041 and the Nm value was 4.71, suggesting that 5.04% of the genetic variation occurred between the populations, and 94.96% of the genetic variation occurred within a population. The genetic differentiation between the populations was weak, indicating intra-population variation is the main source of variation. The Fst value of GBSSI was 0.12681, and the Nm value was 1.72, that means, 12.68% of the genetic variation occurred between the populations, and 87.32% of the genetic variation occurred within a population. The intra-population variation is also the main source of variation.

3.5 Phylogenetic analysis

Phylogenetic tree was created using the Neighbor-Joining method. Fig 3 shows that the trnT-trnL sequence of 430 broomcorn millet accessions had little difference, and the region is highly conserved. A majority of accessions were clustered into the same branch, except for individual accessions. The most divergent broomcorn millet accession was Xinghoutoumi from Chongxin, Gansu, indicating that the genetic sequence of this accession is different from other accessions and this assesstion shows high potential as genetic resource as it may contain rare genetic variations. The rest of the resources were grouped into one big branch which could be divided into three groups. The group I consisted of ten resources, including one Ningxia resource, one Hebei resource, one Inner Mongolia resource, five Liaoning resources, one Heilongjiang resource and one Gansu resource. Group II included two resources, both are Gansu resources. Group III consisted of 417 remaining resources. The phylogenetic tree showed that the broomcorn millet has regional characteristics.

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Fig 3. Phylogenetic tree derived from trnT-trnL using maximum likelihood from broomcorn millet.

https://doi.org/10.1371/journal.pone.0325433.g003

Phylogenetic analysis based on the GBSSI sequence divided 430 broomcorn millet accessions into six groups (Fig 4), and each group contained accessions from multiple regions. As seen in the dendrogram, most of Ningxia, Shanxi, Inner Mongolia, Hebei, Heilongjiang, Xinjiang, Gansu, Asia (except for China), Europe, North America and Africa accessions were concentrated in group I; half of Shanxi, Hebei, Liaoning, Heilongjiang, Xinjiang, Gansu and Asia, Europe accessions were spread in group II; group III mainly included resources in Ningxia, and a little of Xinjiang and Gansu accessions; group IV mainly included Ningxia and Inner Mongolia accessions; group V contained China’s Heilongjiang accessions and a few Liaoning accessions; some of Hebei, Shaanxi and Gansu accessions were mainly divided into group VI. There was no obvious genetic differentiation between domestic and foreign populations. Foreign and domestic populations may have the same origin. Group IV, group V and group VI were special genotype for domestic resources. Most of the accessions from Ningxia, Shanxi, Inner Mongolia, Hebei, Xinjiang, Gansu, Europe, North America and Africa were distributed into group I. Numerous resources from Liaoning, Heilongjiang, Xinjiang, Gansu, Asia (except for China) and Europe were distributed in group II, indicating that the genetic relationship is close. Ningxia, Shanxi, Inner Mongolia, Liaoning and Gansu accessions were distributed in five groups, indicating that these regions are rich in genetic diversity. As shown in Fig 5, the genetic relationship between the Shaanxi population and the rest of the populations was relatively remote. The genetic relationship of populations in Shanxi, Inner Mongolia, Heilongjiang and Liaoning was close. Hebei, Ningxia, Xinjiang and Gansu had close genetic relationship with foreign populations.

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Fig 4. Phylogenetic tree derived from GBSSI using maximum likelihood from broomcorn millet.

https://doi.org/10.1371/journal.pone.0325433.g004

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Fig 5. Cluster diagram of broomcorn millet based on GBSSI sequence.

https://doi.org/10.1371/journal.pone.0325433.g005

4 Discussion

4.1 The trnT-trnL and GBSSI sequence diversity and application

Nucleic acid sequence analysis is beneficial to the study of genetic diversity and the origin of a species. The trnT-trnL and GBSSI sequences are favored by an increasing number of researchers due to their length stability and sequence variability in many fields. In 1991, Taberlet [14] first studied the evolutionary relationship of plants using chloroplast DNA, and introduced the trnT-trnL sequence into plant phylogeny. Baumelet al.[15] used trnT-trnL, GBSSI and ITS sequences to analyze the phylogenetics of the Spartina Schreb, finding that the degree of variation of nuclear sequences was significantly higher than that of trnT-trnL, and GBSSI had more informative sites and richer genetic diversity. Yang’s research [16] found the genetic diversity of trnT-trnL was middling, its haplotype diversity index ranged from 0 to 0.900; the nucleotide diversity index ranged from 0 to 0.0544. Hunt et al. [17] analyzed phylogeographic structure and the geographic and phylogenetic distribution of the GBSSI alleles of 178 broomcorn millet individuals from Eurasia, found that GBSSI gene sequence had obvious relationship with spatial distribution. Park et al. [18] investigated the genetic diversity of GBSSI, 99.7% of the sequences showed very high conservation and low genetic diversity. Based on eight chloroplast non-coding sequence, Meng [13] explored the genetic diversity and phylogenetic relationships of broomcorn millet and its weed forms, he found that the cpDNA non-coding sequences were all relatively conserved. As reported, the genetic diversity of GBSSI is a more efficient parameter than that of trnT-trnL in exploring evolutionary relationship of plants.

Similarly, in this study, 96.3% sites of trnT-trnL sequence were conserved. Its genetic diversity was very low. The GBSSI sequence diversity of broomcorn millet was significantly more abundant than that of trnT-trnL, as its diversity parameter was higher than the standard level, which is consistent with the results of Meng and Baumel et al.[13,15]. The Fst value showed the main source of variation was within the populations. The nucleotide polymorphisms and haplotype diversity of different populations are also discrepant, indicating sequence diversity varies with species and gene type, it’s coincident with that of Li et al [19].

4.2 Genetic diversity and relationships of broomcorn millet

There are reports on the genetic diversity and genetic relationship of broomcorn millet at the molecular level. Dong et al. [20] used 19 pairs of SSR markers to analyze the genetic diversity of 96 broomcorn millet individuals from Heilongjiang, Inner Mongolia, Ningxia, Shanxi, Shaanxi, and Russia. The results showed that the phylogenetic relationships among the provinces were close and the genetic diversity of accessions from Shanxi was the most abundant. According to the study of Hu et al. [21], Shanxi was also reported as the initial center of origin of broomcorn millet, which then expanded to other regions. In this study, the polymorphism analysis of the two sequences and the Tajima’s D tests all indicated that the genetic diversity of the Gansu population in China was the highest, and the genetic diversity of Shanxi, Inner Mongolia, and Shaanxi populations were also abundant. The core area of broomcorn millet origination may include: Shanxi, Shaanxi, Inner Mongolia, Ningxia and Gansu. After origination and evolution in core area, the broomcorn millet resource may spread westward from Gansu to Xinjiang and enter Eurasia, or eastward from Shanxi to Hebei, Inner Mongolia and northeast China. The phylogenetic analysis based on the GBSSI sequence in this study also supported this potential route, as most of Shanxi, Inner Mongolia, Ningxia, Gansu, Xinjiang, Asia (except for China), Europe, North America and Africa accessions were concentrated in the same cluster group. The Asia (except China), European, Oceania populations showed a close genetic relationship with accessions in northwest China (Ningxia, Xinjiang, Gansu) and north China (Hebei). The results were similar to reports of Wang et al. [22] and Xue et al [23]. Dong et al. [24] also reported close phylogenetic relationships among broomcorn millet individuals from Inner Mongolia, Ningxia, Shanxi, Shaanxi, and Russia. Similarly, Zhao [25] and Wang et al.[22] evaluated the genetic diversity and population genetic structure of Chinese broomcorn millet accessions, respectively, indicating that the accessions among Shanxi, Ningxia, Gansu, and Inner Mongolia were relatively close, and that of Heilongjiang, Jilin, and Liaoning were related.

4.3 Research progress on the origin and spread of broomcorn millet

Broomcorn millet was one of the earliest domesticated crops in the world, and China was widely recognized as the center of origin of the broomcorn millet [2627]. Previous archaeological data indicated that northwestern China, northern China, and Inner Mongolia were the likely areas of domestication of broomcorn millet [2830]. In the site of Cishan, the ash layer of broomcorn millet was discovered, which was identified to be about 10,000 years ago, indicating that the middle and lower reaches of the Yellow River might be the origin of broomcorn millet [31]. The Xinglonggou Site in Chifeng, Inner Mongolia, dating from about 8000–7500 years ago, is the earliest found of the broomcorn millet grain remains [21]. Hunt et al. [17] supported the argument that northern China was the origin of domestication and early cultivation center by analyzing the geographic origin and phylogenetic of the broomcorn millet GBSSI gene in Eurasia. Li et al. [10] analyzed the ITS and ETS sequences of rDNA from the ancient broomcorn millet and the modern local cultivar, he found that the exact sequence matching the broomcorn millet remains dug from Xiaohe cemetery was not the modern local cultivar; the most similar sequence existed in India and Europe. In combination with archaeological records, the authors speculated that the P. miliaceum from Xiaohe cemetery began from the Hexi Corridor and passed through northern Xinjiang, Russia, and finally to Eastern Europe and India. Xinjiang is the key corridor for the spread of broomcorn millet. This is similar to the potential route in this study, in which Xinjiang is crucial for broomcorn millet to spread westward. In this study, the genetic diversity within local varieties, northern and northeast China wild populations was close. Northern regions of China may be the origin of broomcorn millet. The genetic relationship among the Eurasian population and the Ningxia, Xinjiang and Gansu populations is close, indicating that the broomcorn millet might have spread westward through the northwestern region of China and entered Eurasia, confirming the research results of Li et al. [10]. The available sites for the study of origin evolution are limited, the actual transmission pathway of broomcorn millet needs to be determined by analyses of additional genetic regions.

5 Conclusions

In conclusion, our study showed that broomcorn millet may originated from the core area (including Shanxi, Shaanxi, Inner Mongolia, Ningxia and Gansu) and then spread westward to Xinjiang and entered Eurasia, or eastward from Shanxi to Hebei, Inner Mongolia and northeast China. Xinjiang is crucial for broomcorn millet to spread westward. In addition, the GBSSI sequence might be an effective molecular marker for the assessment of genetic diversity and exploration of the origin and evolution of broomcorn millet.

Supporting information

S1 Table. The names and sources of broomcorn millet.

https://doi.org/10.1371/journal.pone.0325433.s001

(ZIP)

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