{'fraction_non_alphanumeric': 0.0381872852233677, 'fraction_numerical': 0.030627147766323023, 'mean_word_length': 4.692176039119804, 'pattern_counts': {'":': 0, '<': 2, '<?xml version=': 0, '>': 0, 'https://': 3, 'lorem ipsum': 0, 'www.': 6, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Linkage mapping identifies a non‑synonymous mutation in FLOWERING LOCUS T ( FT‑B1 ) increasing spikelet number per spike

Total spikelet number per spike (TSN) is a major component of spike architecture in wheat ( Triticum aestivum L.). A major and consistent quantitative trait locus (QTL) was discovered for TSN in a doubled haploid spring wheat population grown in the field over 4 years. The QTL on chromosome 7B explained up to 20.5% of phenotypic variance. In its physical interval (7B: 6.37–21.67 Mb), the gene FLOWERING LOCUS T ( FT‑B1 ) emerged as candidate for the observed effect. In one of the parental lines, FT‑B1 carried a non‑synonymous substitution on position 19 of the coding sequence. This mutation modifying an aspartic acid (D) into a histidine (H) occurred in a highly conserved position. The mutation was observed with a frequency of ca. 68% in a set of 135 hexaploid wheat varieties and landraces, while it was not found in other plant species. FT‑B1 only showed a minor effect on heading and flowering time (FT) which were dominated by a major QTL on chromosome 5A caused by segregation of the vernalization gene VRN‑A1 . Individuals carrying the FT‑B1 allele with amino acid histidine had, on average, a higher number of spikelets (15.1) than individuals with the aspartic acid allele (14.3) independent of their VRN‑A1 allele. We show that the effect of TSN is not mainly related to flowering time; however, the duration of pre‑anthesis phases may play a major role. In light of a growing world population, the increase of wheat yield and the genetic mechanisms behind are of immediate interest. position the coding sequence, the parental genotype TRI-5310 (parent-B) and the reference Chinese Spring a G, TRI-10703 (parent-A) has a C. This mutation modifying an aspartic acid (D) into a histidine (H), located outside of predicted domains, occurred in a highly conserved position. The 1.5 kb upstream region of FT-B1 was also searched for transcription factors using the bread wheat epigenomic map (http://bioin nome) 36 . The region harbored potential binding sites for RAP211, ERF2 and RAMOSA1, however, none were polymorphic between both parents.

In light of a growing world population, the increase of wheat yield and the genetic mechanisms behind are of immediate interest. It was shown that grain yield in German winter wheat cultivars was highly correlated with grain number per spike 1 and, therefore, the genes and mechanisms determining inflorescence and spike architecture in cereals have been in the focus of research (reviewed in Gauley and Boden 2 ; Koppolu and Schnurbusch 3 ). The unbranched spike of wheat contains one spikelet per node and is terminated with a single terminal spikelet at the apical end of the inflorescence. Each spikelet contains 8-12 florets and produces usually 3-5 grains per spikelet 1 . Important determinants of grain number are the floret fertility 4 as well as spike fruiting efficiency (grains per unit spike dry weight at anthesis) 5,6 . Among the complex network of spike-related traits, total spikelet number per spike (TSN) was studied in several reports. In genetic approaches, TSN appears usually as a quantitative trait and several quantitative trait loci (QTL) were described [7][8][9] . A few genes influencing TSN are known; among them are (1) the Q gene involved in wheat domestication 10,11 , (2) a putative ortholog to rice MOC1 12 , and (3) a wheat ortholog (TaAPO-A1 or WAPO-A1) to rice ABERRANT PANICLE ORGANIZATION (APO1) [13][14][15] .
Besides the modulation of spikelet meristem identity genes, the genetic regulation of spikelet initiation through timing and florigenic signals plays a major role in the determination of TSN. Homologs of Arabidopsis FLOWERING LOCUS T (FT) [16][17][18] , such as HEADING DATE 3a (Hd3a) and RICE FLOWERING LOCUS T 1 (RFT1) in rice promote transition to flowering and tillering [19][20][21] . In wheat, the FT-B1 gene on chromosome 7B was originally reported as VRN-B3 that affects the vernalization requirement in wheat and-besides the three VRN-1 genes-that determines the spring or winter growth type of hexaploid wheat 22,23 . In wheat FT-B1 acts downstream of PHOTOPERIOD-1 (PPD-1) gene to influence spikelet number, with loss of FT-B1 resulting in Scientific Reports | (2021) 11:1585 | https://doi.org/10.1038/s41598-020-80473-0 www.nature.com/scientificreports/ increased spikelet number in a thermally responsive manner 2,24,25 . An ortholog of the maize domestication gene TEOSINTE BRANCHED 1 (TB1) was reported to interact with FT-B1 in a dosage-dependent manner to promote the formation of paired spikelets in wheat by activating a cascade of floral meristem identity genes 26 .
FT-B1 is a member of an evolutionarily well-conserved gene family [phosphatidylethanolamine-binding protein (PEBP)] that is present in all taxa including bacteria, animals, and plants 27 . Among angiosperms, three subfamilies are described FT-like, MFT-like (MOTHER OF FT AND TFL), and TFL1-like genes (TERMINAL FLOWER1) 17 . Phylogenetic analyses identified MFT-the only member of the PEBP family in mosses-as the ancestral gene, and its duplication in FT/TFL1-like genes and their divergence coincided with the evolution of vascular plants 28,29 . Although sharing a high homology, the genes have been described to be partially redundant as flowering promoters (FT and MFT) or to act in an antagonist manner (TFL1) 17,30 . Compared to the two other gene families, FT-like genes, evolving via small-and large-scale duplications, are the most numerous among monocots with 13 paralogs identified in rice, five in barley, and nine in wheat based on expressed sequences tags (ESTs) data 31,32 . Due to their impact on the phenology and flowering architecture of crops, FT-like genes have been a target of selection during domestication and subsequent range expansion to adapt to new environments 33,34 .
In this study, we performed linkage mapping to investigate the genetic basis of total spikelet number per spike and its associated traits viz., spike length, heading date, and flowering time in a doubled haploid spring wheat population. Our analyses identified a large-effect locus that harbored FT-B1-a candidate gene for TSN. The origin and frequency of a non-synonymous mutation associated with an increased spikelet number was investigated by analyzing a large diversity of land plants and a panel of hexaploid wheat varieties. Moreover, we also investigated the interaction of FT-B1 with the vernalization gene VRN-A1 that segregated in the studied population.

Results
Description of phenotypic data. The doubled haploid (DH) population-2 described in Muqaddasi et al. 35 was grown on the field and characterized for 4 years (2016-2019) for total spikelet number (TSN) per spike, spike length (SL), heading date (HD), and flowering time (FT). The best linear unbiased estimations (BLUEs) showed a wide variation within and across years for all traits, with TSN and SL being normally distributed (Shapiro-Wilk test: P = 0.82 for TSN, P = 0.06 for SL, P = 0.001 for HD, and P = 0.003 for FT). Although the parental lines did not differ much for their flowering traits (HD and FT), the population presented a bimodal distribution ( Fig. 1) resulting from the segregation of the vernalization genes VRN-A1 and VRN-B1 35 . The parental line TRI-10703 carried the dominant allele Vrn-A1a and the recessive allele vrn-B1, while TRI-5310 harbored the recessive allele vrn-A1 and the dominant allele Vrn-B1. For the spike morphology traits (TSN and SL), the parental genotype TRI-10703 (parent-A) systematically performed better than parental genotype TRI-5310 (parent-B; Fig. 1, Supplementary Figure S1). The ANOVA indicated significant (P < 0.001) genotypic and environmental differences for all traits. High repeatability values (H 2 = 0.89-0.96) were obtained for biological replicates of TSN  Table 1). The Pearson correlation coefficient calculated based on BLUEs indicated a positive and significant (P < 0.001) correlation of TSN with SL, HD and FT, and between HD and FT, while the correlation between SL and the flowering traits was null (Fig. 2).

Mapping of quantitative trait loci (QTL
Scientific Reports | (2021) 11:1585 | https://doi.org/10.1038/s41598-020-80473-0 www.nature.com/scientificreports/ position 19 in the coding sequence, the parental genotype TRI-5310 (parent-B) and the reference Chinese Spring have a G, while TRI-10703 (parent-A) has a C. This mutation modifying an aspartic acid (D) into a histidine (H), although located outside of predicted domains, occurred in a highly conserved position. The 1.5 kb upstream region of FT-B1 was also searched for transcription factors using the bread wheat epigenomic map (http://bioin fo.sibs.ac.cn/cs_epige nome) 36 . The region harbored potential binding sites for RAP211, ERF2 and RAMOSA1, however, none were polymorphic between both parents.

Development of a KASP marker significantly associated with TSN.
To confirm FT-B1 as a candidate gene for TSN, a KASP marker was developed for the described mutation in FT-B1 and genotyping was performed across the whole DH-population. The marker was included in the original matrix for a second round of composite interval mapping for TSN. The KASP marker was the most significant marker for QTsn.ipk-7B in the BLUEs and all years but 2017 and explained 10.6-22.9% of phenotypic variance (Supplementary Figure S2, Supplementary Table S4).

Interaction between VRN-A1 and FT-B1 on phenotypic expression of traits. The genotyping for
VRN-A1 was done according to Zhang et al. 23 and alleles were coded according to the rest of the data with TRI-10703 as parent A and TRI-5310 as parent B. A two-way factorial ANOVA for the effects of VRN-A1 and FT-B1 on all traits revealed a highly significant effect of FT-B1 but not VRN-A1 on TSN, while both genes were found significant for the three other traits (Table 3, Supplementary Table S5). The interaction of both genes was not significant. Indeed, individuals carrying the FT-B1 A allele with amino acid histidine had on average a higher number of spikelets (15.1) than individuals with the B allele (14.3) independent of their VRN-A1 allele (Fig. 4).  Among those 70 PEBP genes, including FT-B1 and its homoeologues on chromosomes 7A and 7D (TraesC-S7A02G115400 and TraesCS7D02G111600), the majority possessed an aspartic acid (D) but none had a histidine (Fig. 5b). The homoeologues in the parental lines were identical to each other and to the reference (Fig. 6). In a set of 377 homologs retrieved by PROVEAN from the NCBI database across a large diversity of flowering plants as well as a few Gymnosperms, 86.4% had a D, 7.1% possessed an asparagine (N), and 5.5% had a glutamic acid (E). Three sequences had another amino acid but none had an H (Fig. 5c). This mutation obtained a PROVEAN score of − 4.267 and is therefore considered deleterious. However, in a set of 135 wheat varieties and landraces genotyped with the high-density array Axiom 37 , ca. 68% carried the mutation (marker AX-94810990; Fig. 5a) while none of the bread wheat progenitors (eight T. turgidum and one Aegilops speltoides accession) included in this genotyping effort had it.   The full table with description of each individual QTL is available as Supplementary Table S1 online.    FT-B1 is usually associated with flowering time or heading date. Higher FT-B1 transcripts levels controlled by the insertion of a retrotransposon in the promoter region ("Hope" allele) accelerated flowering time and transgenic winter wheat transformed with the Hope promoter behaved like spring types. The retrotransposon characteristic of the highly expressed FT-B1 allele from variety "Hope" 22,39 was not present in our parental lines. Changes in the expression of the wild type FT-B1 were shown to coincide with major transition of the inflorescence meristem 2 .

Different effects of FT-B1 and VRN-A1 on flowering time and total spikelet number. Our pop-
ulation is segregating for the vernalization genes VRN-A1 and VRN-B1, as well as for the photoperiodism gene Ppd-D1. The heading and flowering time were in all years governed by a major QTL on chromosome 5A which represented the effect of VRN-A1, while on chromosome 7B representing FT-B1 only minor QTL were observed for HD and FT ( Table 2, Supplementary Table S1). VRN-A1 had highly significant effects on HD, FT and SL but not on TSN. On the other hand, FT-B1 was highly significant for TSN and showed small effects on the other three traits (Fig. 4, Table 3). In the correlations, increased TSN was correlated with increased SL as well as with delayed HD and FT. However, FT-B1 affected spikelet formation without a major effect on the flowering time. It may, therefore, be concluded that the FT-B1 effects on pre-flowering phases play a major role. The effects of sub-phases in plant growth of wheat on yield and yield components were highlighted by Guo et al. 40,41 , where spikelet initiation and spikelet number was associated with double ridge to terminal spikelet stage. Dixon et al. 24 reported that flowering time, in contrast to spikelet number, was not responsive to changes in ambient temperature in a ft-b1 NIL, suggesting that the promotion of inflorescence development between the double ridge and terminal spikelet stages is regulated by FT-independent thermally responsive factors. In contrast to Arabidopsis, where FT induces flowering at elevated growth temperature 42 , the accelerated development pace of domesticated wheat under high temperature is largely independent of FT 24,43 . Li et al. 44 investigated the interactions between the three wheat MADS-box genes VRN1, FUL2 and FUL3 and showed delayed formation of the terminal spikelet and increased number of spikelets per spike in VRN1-null and ful2-null mutants. Flowering delays in VRN1-null  A non-synonymous mutation in exon1 of FT-B1 is widespread in the species T. aestivum. Sequencing of the parental lines of the DH-population allowed us to screen for mutations and indels affecting the genes annotated in the physical interval corresponding to the major QTL. Evaluating all non-  www.nature.com/scientificreports/ synonymous mutations affecting the 121 high-confidence genes present in the QTL interval, only eight were considered as potentially deleterious. Among those, we identified a non-synonymous substitution in exon1 of FT-B1 in our parental lines changing the aspartic acid (D) into a histidine (H). Analyzing a collection of more than 300 sequences of FT-B1 homologs, including homoeologues and paralogs, covering a large diversity of land plants revealed that the mutation was novel in hexaploid wheat. However, it appeared that the mutation, present with the array code AX-94810990 on the high-density genotyping arrays Axiom 820 K and 35 K, is probably widespread (68%) in wheat varieties and landraces but absent in the few tetraploid and Ae. speltoides accessions screened to validate the 820 K array 37 . The mutation from D to H confers a phenotype similar but weaker than the complete loss of FT-B1 (and 400 other genes) described in Dixon et al. 24 and Finnegan et al. 25 . We conclude that this could be a mutation potentially only slightly impairing the protein which remains suitable in breeding. Taken together, our results suggest that this variant is a novelty private to hexaploid wheat where it was favored potentially for its positive impact on the grain yield. It may also have been selected for winter hardiness as the histidine mutation was found to be associated with an increased frost tolerance 47 . Interestingly, analysis of transgenic rice showed that Hd3a-a rice FT homolog-accumulated in axillary meristems and promoted the formation of branches 21 . Analyzing FT-like genes in maize and rice, Zheng et al. 34 have shown that those genes had been under positive selection during domestication allowing the plants to adapt to different environments during the range expansion of by modulating their flowering time.

Conclusion
Linkage mapping revealed the effects of FT-B1 on total spikelet number in the genetic background of a doubled haploid spring wheat population, while the heading and flowering time was dominated by the effects of a segregating VRN-A1 gene. A non-synonymous mutation in FT-B1 causing an amino acid exchange from aspartic acid to histidine was observed in the parental lines of the mapping population. The observed mutation is widespread in hexaploid wheat, but could not be detected in any other orthologs and paralogs within the higher plants. It may be speculated that effects of FT-B1 on subphase duration of wheat affect the final spikelet number rather than the flowering time. This is a first report about a structural variation in FT-B1 influencing TSN, which is also inheritable, while other reports were mainly based on expression analysis or the complete loss described in Dixon et al. 24 and Finnegan et al. 25 consisting of the first 23 Mb of chromosome 7B encompassing more than 400 genes.

Materials and methods
Plant material and field trials. The doubled haploid (DH) spring wheat population-2 consisting of 159 lines was previously described in Muqaddasi et al. 35 . The parental lines, conserved at the IPK Genebank, were TRI-10703 (landrace from Greece) and TRI-5310 (variety Eureke from France). The accessions were originally selected for their contrasting anther extrusion phenotypes but exhibited a large difference for total spikelet number per spike ( Phenotyping and data analysis. The spike traits (TSN and SL) were recorded from ten spikes per plot as the total number of spikelets and spike length in centimeters (cm) from basal spikelet to the top of a spike but excluding the awns. The flowering traits (HD and FT) were recorded for each year as the number of days between the first of January and when approximately half of the spikes in a plot emerged and flowered, respectively. Phenotypic data were analyzed following Muqaddasi et al. 35 . Specifically, best linear unbiased estimations (BLUEs) were calculated per year for the spike traits and across years for all traits by assuming fixed effects for the intercept and the genotype and all others as random. All phenotyping data analyses, including ANOVAs, Pearson's correlation coefficient analyses, repeatability among replicates, broad-sense-heritability across years, and statistical tests, were performed using the software R 48 .
Genotyping and QTL mapping. The 159 lines were genotyped with a custom-designed 15 k Infinium array 49 by the company TraitGenetics GmbH in Gatersleben, Germany, that resulted in 3,457 polymorphic markers. The 15 k Infinium array was created as a cost-effective option based on the 90 k Infinium array described by Wang et al. 50 . Data filtering and linkage map construction were previously described in Muqaddasi et al. 35 .
The quantitative trait loci (QTL) underlying the four traits were analyzed by composite interval mapping (CIM) 51 in Windows QTL Cartographer 2.5 52 . For each trait, single year and across year BLUEs were used to calculate both forward and backward regression. The step size was set at 2 cM. To identify significant QTL at α = 0.05, thresholds for the logarithm of odds (LOD) values were estimated with 1000 permutation 53 . Confidence interval for the significant QTL were defined as a continuous genomic region comprised within a 1.5-LOD from the marker with the highest LOD per chromosome passing the threshold 54 . QTL repeatedly identified in the same interval each year and in their BLUEs were defined as major and consistent.
Analysis of the physical region. All genomic analyses were performed in Geneious Prime 2020.0.5 (https ://www.genei ous.com). First the sequences of the markers corresponding to the consistent QTL's genetic intervals were obtained from Wang et al. 50 and BLASTed on their assigned chromosome of the wheat genome reference sequence 55 to define genomic intervals. The physical interval defined for QTsn.ipk-7B was retrieved from the assemblies of the parental lines sequenced at 10 × coverage with Illumina paired-end sequencing (Hise-qXTEN PE150) and assembled as described in Muqaddasi et al. 35 . The sequences of the genes present in the interval were mapped to the sequences of the parental lines and then extracted. Mapping was performed with the Geneious mapper set to "Custom sensitivity" based on the "Medium-Low Sensitivity" parameters but with a Scientific Reports | (2021) 11:1585 | https://doi.org/10.1038/s41598-020-80473-0 www.nature.com/scientificreports/ maximum gap size of 2000 bp to accommodate for missing data regions. Multiple sequence alignments (MSA) for each gene consisting of the sequences of the reference and of the two parental lines were obtained by running the same mapping procedure using the genic sequences of Chinese Spring as reference. Polymorphisms between both parental lines were annotated in the MSAs. To narrow down to potential candidates, the functional annotations of the genes in the interval were inspected which revealed the presence of two CLAVATA3/ ESR (CLE)-related proteins, six MADS box transcription factors, and the FLOWERING LOCUS T (VRN-B3 or FT-B1, TraesCS7B02G013100). The potential effect of the non-synonymous substitutions affecting FT-B1 and all other high-confidence genes present within the interval were analyzed with PROVEAN (Protein variation effect analyzer) 56 . The bread wheat epigenomic map (http://bioin fo.sibs.ac.cn/cs_epige nome) 36 was used to identify the location of potential transcription factors in the 1.5 kb region upstream from FT-B1. FT-B1 and VRN-A1. To test the potential interaction between the candidate gene FT-B1 and the vernalization gene VRN-A1, the whole population was genotyped with a Kompetitive Allele Specific PCR (KASP) marker based on the FT-B1 SNP (Supplementary Table S6) and VRN-A1 primers 23 . All the traits were analyzed with a two-way factorial ANOVA and allele-wise phenotypic distribution was illustrated by plotting the boxplots. The effect of the different alleles at both loci for all traits were evaluated with a Wilcoxon rank-sum test.

Interaction between
Intragenomic, intra-and interspecific analyses. The EnsemblPlant database (https ://plant s.ensem bl.org) was used to identify and recover the protein sequences of all genes classified as paralogs of the three homoeologues (TraesCS7A02G115400, TraesCS7B02G013100, and TraesCS7D02G111600). The sequences were then aligned with MAFFT v7.450 57,58 in Geneious. The CerealsDB database (www.cerea lsdb.uk.net) 59 and the function "Extract genotype for a specific SNP" were used to obtain the genotyping score of the Axiom 820 K array marker AX-94810990 covering the non-synonymous mutation identified in FT-B1. Samples with the ancestral (G) or the derived allele (C) were scored with BB and AA, respectively. Among the 475 genotypes recovered, only the samples identified as varieties, landraces, tetraploid and Aegilops speltoides, according to Winfield et al. 37 , were kept to evaluate the frequency of the mutation across bread wheat and its progenitors.
Interspecific analyses were performed on the set of 377 homolog sequences retrieved by the PROVEAN analysis.