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Quantitative trait loci for starch-corrected chip color after harvest, cold storage and after reconditioning mapped in diploid potato

  • Dorota Sołtys-KalinaEmail author
  • Katarzyna Szajko
  • Iwona Wasilewicz-Flis
  • Dariusz Mańkowski
  • Waldemar Marczewski
  • Jadwiga Śliwka
Open Access
Original Article

Abstract

The objective of this study was to map the quantitative trait loci (QTLs) for chip color after harvest (AH), cold storage (CS) and after reconditioning (RC) in diploid potato and compare them with QTLs for starch-corrected chip color. Chip color traits AH, CS, and RC significantly correlated with tuber starch content (TSC). To limit the effect of starch content, the chip color was corrected for TSC. The QTLs for chip color (AH, CS, and RC) and the starch-corrected chip color determined with the starch content after harvest (SCAH), after cold storage (SCCS) and after reconditioning (SCRC) were compared to assess the extent of the effect of starch and the location of genetic factors underlying this effect on chip color. We detected QTLs for the AH, CS, RC and starch-corrected traits on ten potato chromosomes, confirming the polygenic nature of the traits. The QTLs with the strongest effects were detected on chromosomes I (AH, 0 cM, 11.5% of variance explained), IV (CS, 43.9 cM, 12.7%) and I (RC, 49.7 cM, 14.1%). When starch correction was applied, the QTLs with the strongest effects were revealed on chromosomes VIII (SCAH, 39.3 cM, 10.8% of variance explained), XI (SCCS, 79.5 cM, 10.9%) and IV (SCRC, 43.9 cM, 10.8%). Applying the starch correction changed the landscape of QTLs for chip color, as some QTLs became statistically insignificant, shifted or were refined, and new QTLs were detected for SCAH. The QTLs on chromosomes I and IV were significant for all traits with and without starch correction.

Keywords

Cold sweetening Cold-induced sweetening QTL mapping Reducing sugars Solanum Starch content 

Introduction

Starch is the major storage carbohydrate in plants. It is also a key molecule in mediating plant responses to abiotic stresses (Thalmann and Santelia 2017). Environmental stress can induce changes in the source–sink relationship (Dong and Beckles 2019). Starch plays a double role in carbon allocation: it can act as a sugar source when carbon is needed or as a sugar sink when sugars are in excess (MacNeill et al. 2017). The released sugars can function as osmoprotectants to mitigate the negative effect of the stress (Thalmann and Santelia 2017). In potato, tuber starch content (TSC) varies between 10 and 25% of fresh weight depending on the intended use of different potato cultivars (Ellis et al. 1998; Verma et al. 1975). During tuber cold storage (CS), at approximately 4 °C, starch is reversibly broken down into the reducing sugars glucose and fructose. This phenomenon is referred to as cold-induced sweetening (Isherwood 1973). TSC and reducing sugar content determine the suitability of potato tubers for the market and processing industry. High reducing sugar content is not desirable for thermal treatment because it causes a dark coloration in final potato products, such as fries and chips (Kumar et al. 2004). Pearson’s correlation coefficient between chip color and reducing sugar content r = − 0.94 (Fuller and Huges 1984). The average content of reducing sugars in chipping cultivars should not exceed 0.33% (Duplessis et al. 1996). However, during cold-induced sweetening, sugar content can reach 2% fresh weight (Isherwood 1973). Therefore, chipping quality is typically evaluated as the color of a potato chip following CS. Chipping quality also depends on starch properties (Werij et al. 2012). To improve potato quality after storage, tubers can be subjected to controlled warming, known as a reconditioning (RC) process, during which higher temperatures (approximately 20 °C) initiate the conversion of reducing sugars into the starch (Isherwood 1973).

During maturation, potato tubers accumulate nearly 100% of their carbohydrate as starch and only small amount of starch is broken down to soluble sugars (Schreiber et al. 2014). Starch biosynthesis and degradation in potato tubers are pivotal pathways affecting tuber quality. These two pathways are spatially and temporarily separated from each other. The chipping quality of potato tubers is an outcome of biochemical processes occurring at each stage of tuber formation, from starch biosynthesis, granule formation and degradation pathways to the sucrose release and reducing sugars formation in vacuole. There is evidence of significant correlations between chip color and starch content after harvest (AH) (Pearson’s correlation coefficient: r = 0.57) and after CS (r = 0.68) (Li et al. 2013) and between starch properties such as starch gelatinization temperature of fresh tissues, described as thermal transition peak temperature (r = 0.54, O’Donoghue et al. 1996). The correlation between starch content and chipping quality is a result of the activity of various enzymes that can modify starch structure (crystalline or amorphous) due to the extent to which starch is broken down into reducing sugars (Barichello et al. 1990, 1991). The crystalline regions of starch granules determine their stability and make them less sensitive to enzymatic degradation. High amylose content makes the starch granules of potato tubers less susceptible to cold-induced sweetening (Jansky and Fajardo 2014).

Mapping of quantitative trait loci (QTLs) has been performed in a number of experimental populations of diploid potatoes (Douches and Freyre 1994; Menendez et al. 2002, Werij et al. 2012; Sołtys-Kalina et al. 2015; Śliwka et al. 2016; Braun et al. 2017; Xiao et al. 2018) in addition to a few association studies (Li et al. 2008, 2010; Schreiber et al. 2014). The genes involved in starch synthesis and degradation, the Calvin cycle and photorespiration, the glycolysis, oxidative pentose phosphate pathway, and the Krebs cycle are distributed across all twelve potato chromosomes (Chen et al. 2001). Notably, certain gene alleles play dual roles in starch synthesis and hydrolysis pathways. For example, the α-glucan phosphorylase (StPho) is an enzyme directly involved in the formation and size of starch granules and affects gelling properties (Werij et al. 2012), but the allele of the gene encoding StPho, StPho1a, is also considered a candidate gene for chipping quality (Werij et al. 2012; Van Harsselaar et al. 2017). There is also evidence of the involvement in starch and reducing sugar formation, of genes such as transcription factors (Van Harsselaar et al. 2017) and genes responsible for plant hormone signaling (auxin-regulated protein, AuxRP) or heat-shock proteins (Hsp90) (Sołtys-Kalina et al. 2015).

In our recent paper, we used 12-3 population, an F1 progeny from a cross of high-starch maternal and low-starch paternal components where starch content in potato tubers strongly segregated with normal distribution. We described 12 QTLs for starch content located on seven potato chromosomes in the diploid population 12-3 (Śliwka et al. 2016). The most important QTL spanned a wide region of chromosome I. In the present study, we used the same population 12-3 to explore the genetic basis of starch–sugar interconversion in non-stressed and cold-stressed potato tubers. Reciprocal relationships between starch biosynthesis and degradation pathways at genetic and biochemical levels have significant influence on starch and reducing sugar content. Many of the genes significantly associated with both traits may be located on the map near each other and their allele effects overlap within the same locus (Schönhals et al. 2017). To differentiate between QTL affecting chip color only, from QTL affecting starch content and in consequence chip color also, we used an approach that was applied earlier for other traits: maturity-corrected resistance to late blight (Bormann et al. 2004) and for tuber starch-corrected blackspot bruise susceptibility (Hara-Skrzypiec et al. 2018). To diminish the effect of starch-related genes as well as the influence of starch content and chip color correlation, we introduced starch correction on chip color. The goal of the investigation was to compare the location of the genetic factors underlying chip color and starch-corrected chip color.

QTL analyses for chip color AH, after CS and after RC, and starch-corrected analysis of chip color were performed. For the first time, the QTLs for chip color observed in three conditions (AH, CS, and RC) and starch-corrected chip color (SCAH, SCCS, and SCRC) were compared to assess the extent of the effect of starch on chip color.

Materials and methods

Plant material and phenotype analysis

The plant material consisted of the potato diploid population 12-3 (F1 progeny, N = 183) from a cross of the seed parent DG 00-683 and pollen parent DG 08-28/13 (Śliwka et al. 2016). Population 12-3 was grown in 2012–2014 in pots under plant tents. In 2012, F1 progeny were propagated from true seeds, and in 2013–2014 (first and second tuber generation), each individual was planted in three independent replications. The plants were watered regularly, fertilized, and protected against insects and pathogens.

For chip color analysis, six undamaged tubers from each diploid clone were collected. After harvesting tubers each year, four slices from two tubers were taken and fried (first set AH), and then four tubers were transferred to controlled storage lockers set at 4 °C. The storage temperature was held constant for 70 days, and a second set was fried after CS. Subsequently, two tubers were removed for RC at 20 °C for an additional 40 days, and a third frying set was evaluated. Chip color was visually assessed using a nine-point color chart (score 1 = black chip color).

TSC was estimated using the underwater weight method according to Lunden (1956), as described by Śliwka et al. (2016).

Statistical analysis

The phenotypic data were tested for fitness to normal distribution with the Shapiro–Wilk test. The reproducibility of the analyzed traits between years was estimated by calculating linear Pearson’s correlation coefficients. The coefficients of determination (R2) for chip color and TSC were estimated using analysis of variance (two-way ANOVA). The broad-sense heritability (H2) was estimated as in Guo et al. (2015), according to the following formula:
$$H^{2} = \frac{{\sigma_{\text{G}}^{2} }}{{\sigma_{\text{G}}^{2} + \sigma_{\text{GE }}^{2} /2 + \sigma_{\text{e }}^{2} /2r}}.$$

Using previously calculated variation components by fitting a linear mixed-effects model to the phenotyping data via a restricted maximum likelihood (REML) approach, the correction of the chip color results by starch content after harvest (SCAH), starch content after cold storage (SCCS) and starch content after reconditioning (SCRC) was carried out in a proportional method based on regression analysis. After determination of the regression function describing the relationship between the starch content and chip color, corrective values were calculated based on the determined regression coefficients. The corrective values calculated in this way (individual for each case/observation) were used to adjust the observed chip color values.

All statistical analyses were performed using STATISTICA for Windows (Stat Soft, Inc. and StatSoft Polska Ltd., Kraków, Polska). Because tuber starch and chip color evaluation was performed in 2012 in only one replication, the analysis of variance and broad-sense heritability were calculated on data sets from 2013 to 2014.

QTL analysis

A previously published genetic map of the diploid potato population 12-3 was used (Śliwka et al. 2016). The map consisted of 1597 markers, including 1584 diversity array technology (DArT) markers, 11 cleaved amplified polymorphic sequence (CAPS) markers, one sequence characterized amplified region (SCAR) marker, and one phenotypic (purple flower color) marker. QTL analysis was performed using interval mapping with the MapQTL 6 software (Van Ooijen 2009). QTLs were detected using a logarithm of odds (LOD) ≥ 3.0 as the threshold of significance.

Results

Phenotyping

The mean values of the 3-year evaluation of chip color and starch-corrected chip color of mapping population 12-3 are presented in Table 1. The data distribution of the traits was evaluated for fitness to a normal curve by the Shapiro–Wilk test. A normal distribution of chip color was observed AH, and in the case of other traits, distributions approached normal (Table 1). The distribution of TSC was normal (Śliwka et al. 2016). The widest range of variation was identified for chip color after RC (2.4–9.0), and the range was narrowest for chip color AH (3.3–8.2). Analysis of variance in the mapping population demonstrated a significant effect of genotype and year on chip color and starch-corrected chip color (Table 2). Genotype explained 41.4 (SCAH) to 56.8% of the variance (RC) observed in particular datasets. The variance explained by years of experiments ranged from 0.2% (RC) to 5.9% (SCAH). Interaction genotype × year was significant only for RC and explained 10.8% of the variance.
Table 1

Phenotypic distributions of chip color and starch-corrected chip color in population 12-3, phenotypic distribution of TSC was normal and described by Śliwka et al. (2016)

Trait

N

Population mean

Range of variation

W valuea

AH

180

5.1

3.3–8.2

0.986

CS

183

4.2

2.0–8.7

0.924*

RC

181

5.1

2.4–9.0

0.958*

SCAH

180

5.0

2.9–7.5

0.981*

SCCS

180

4.1

2.0–7.5

0.951*

SCRC

181

5.0

3.0–8.5

0.962*

*Deviated from normality at P < 0.05

aShapiro–Wilk test

Table 2

Analysis of variance, coefficients of determination and broad-sense heritability for chip color and TSC (2013–2014) in mapping population 12-3

Factor/interaction

Df effecta

Mean sum of squares effect

Df error

Mean sum of squares effect error

F

P

R2 (%)b

H2 (%)c

AH

       

77.2

 Genotype {1}

175

1412.8

  

5.3

0.000

49.8

 

 Year {2}

1

137.6

  

90.2

0.000

4.9

 

 1 × 2

175

305.2

643

980.4

1.1

0.125

10.8

 

CS

       

81.9

 Genotype {1}

174

1686.1

  

6.3

0.000

55.5

 

 Year {2}

1

55.5

  

36.3

0.000

1.8

 

 1 × 2

174

317.8

640

978.6

1.2

0.064

10.5

 

RC

       

81.9

 Genotype {1}

174

1748.3

  

6.5

0.000

56.8

 

 Year {2}

1

6.2

  

3.9

0.046

0.2

 

 1 × 2

174

332.1

641

993.6

1.2

0.037

10.8

 

TSC

       

66.7

 Genotype {1}

177

3979.6

  

7.5

0.000

58.2

 

 Year {2}

1

5.4

  

1.8

0.178

0.1

 

 1 × 2

177

866.4

664

1987.8

1.6

0.000

12.7

 

SCAH

       

72.8

 Genotype {1}

174

1039.6

  

3.7

0.000

41.4

 

 Year {2}

1

148.5

  

92.8

0.000

5.9

 

 1 × 2

174

299.7

639

1022.6

1.1

0.262

11.9

 

SCCS

       

72.9

 Genotype {1}

173

1128.7

  

4.1

0.000

45.1

 

 Year {2}

1

47.1

  

29.6

0.000

1.9

 

 1 × 2

173

315.6

636

1013.6

1.1

0.125

12.6

 

SCRC

       

72.4

 Genotype {1}

173

1136.8

  

3.9

0.000

44.9

 

 Year {2}

1

9.4

  

5.7

0.017

0.4

 

 1 × 2

173

326.8

637

1059.1

1.1

0.138

12.9

 

*Data are statistically significant at P < 0.05

aNumber of degrees of freedom

bPercent of variance explained

cBroad-sense heritability

The genotype and interaction genotype × year significantly influenced the TSC phenotype and explained 58.2% and 12.7% of the variance, respectively (Table 2).

Chip color and TSC were significantly correlated for all tested combinations, and Pearson’s correlation coefficients ranged from 0.596 (TSC × AH) to 0.630 (TSC × RC) (Table 3). Pearson’s correlation coefficients between the results of assessments from particular years of all tested traits are presented in Supplementary Table 1.
Table 3

Pearson’s correlation coefficients between mean (2012–2014) chips color and TSC

Trait

AH

CS

RC

AH

   

CS

0.710*

  

RC

0.753*

0.848*

 

TSC

0.596*

0.604*

0.630*

*Pearson’s correlation coefficients significant at P < 0.05

The H2 value for chip color ranged from 72.4% (SCRC) to 81.9% (CS and RC) and was 66.7% for TSC (Table 2).

QTL analysis

The QTLs for AH, CS and RC were localized on nine potato chromosomes: I, II, III, IV, VI, VIII, IX, X and XI (Fig. 1, Table 4).
Fig. 1

Overview of QTL for chip color detected in the diploid potato mapping population 12-3. Interval QTL mapping was performed using MapQTL® 6 (Van Ooijen 2009) and 3-year datasets (mean chip colour 2012–2014) obtained in different conditions and starch-corrected as listed in the figure. Black bars symbolize chromosomes, only the chromosomes harboring QTL are shown. Color-coded bars represent QTL on the right while the locations of candidate gene markers are shown on the left of chromosomes (ADP/ATPtr ADP, ATP carrier protein; AGPaseS-a1334 ADP-glucose pyrophosphorylase S; AOX1a, AOXb alternative oxidases; β-amyl β-amylase; NL-AAM α-amylase; PPCK1a phosphoenolpyruvate carboxylase kinase 1a; pk1 pyruvate kinase; SnRK1 sucrose non-fermenting-1-related protein kinase; Sus4 sucrose synthase 4). For details and single-year QTL analyses, see Supplementary Table 2

Table 4

QTL detected for chip color (means 2012–2014) after harvest (AH), cold storage (CS), reconditioning (RC) and starch-corrected chip color (means 2012–2014) (SCAH, SCCS, SCRC) of plants of the diploid potato population 12-3

Trait

Chromosome

Marker at peak or markers flanking map interval

Marker origina

Peak position (cM)

LOD

R2 (%)

Interval (cM)

AH

I

pPt-536705

P2

0.0

4.79

11.5

0.0–14.3

pPt-657261

P2

19.0

3.15

7.7

18.8–27.4

pPt-534735

P1

49.7

4.21

10.2

45.5–54.4

II

pPt-470784

P1

51.4

3.56

8.7

50.8–54.5

pPt-533877

P2

71.5

3.19

7.8

70.2–71.5

III

pPt-472955

H

98.1

4.72

11.4

91.2–116.7

IV

pPt-539980

P1

56.6

4.32

10.5

43.8–67.2

VIII

pPt-539949

H

39.3

4.27

10.3

39.3–39.6

CS

I

pPt-538127

H

8.3

4.55

11.0

0.0–14.3

pPt-655243

P2

23.4

3.47

8.5

23.4–25.6

pPt-534735

P1

49.7

4.33

10.5

46.5–52.4

IV

pPt-459396-

P1

17.6

4.22

10.2

10.8–24.4

pPt-472965

P2

    

pPt-536644

H

43.9

5.32

12.7

35.5–61.1

VI

pPt-457811

H

48.2

3.80

9.3

40.2–50.4

VIII

pPt-471749

H

42.6

4.89

11.8

27.5–43.0

pPt-538409

P1

65.2

3.93

9.6

63.4–69.3

IX

pPt-656192

H

43.6

3.64

8.9

41.0–46.7

X

pPt-470671

H

41.0

5.09

12.2

27.4–48.6

XI

pPt-653517

P1

51.6

3.22

7.9

51.6–54.1

toPt-440860

H

79.5

4.33

10.5

72.8–79.5

RC

I

pPt-536705

P2

0.0

4.38

10.5

0.0–15.3

pPt-655243

P2

23.4

4.57

11

23.0–28.7

pPt-534735

P1

49.7

5.96

14.1

40.3–56.4

II

pPt-470784

P1

51.4

3.53

8.6

24.9–65.4

IV

pPt-459396-

P1

17.6

3.83

9.3

13.7–22.6

pPt-472965

P2

    

pPt-536644

H

43.9

5.19

12.4

33.5–60.2

VIII

pPt-539949

H

39.3

4.73

11.3

22.8–39.6

pPt-535994

H

39.4

4.73

11.3

 

IX

pPt-540274-

H

43.0

4.61

11.1

35.7–51.9

pPt-656192

H

    

X

pPt-470671

H

41.0

4.57

11

29.8–47.6

XI

pPt-474023

H

77.8

3.2

7.8

77.8–77.8

SCAH

I

pPt-538127-

H

12.3

4.05

9.8

0.0–14.3

pPt-656788

H

    

pPt-472452

P1

25.6

3.81

9.3

25.3–25.6

III

pPt-456631-

P1

10.3

3.23

7.9

10.3–11.5

pPt-457941

P2

    

pPt-651073

H

111.6

4.11

10.0

97.4–116.7

IV

pPt-534450

P1

56.6

3.80

9.3

54.2–60.9

VIII

pPt-539949

H

39.3

4.48

10.8

39.3–39.6

IX

pPt-657409

P1

51.9

3.34

8.2

43.6–60.4

XII

pPt-537513

P2

76.4

3.16

7.8

74.8–77.4

SCCS

I

pPt-538127-

H

11.3

3.23

7.9

9.3–13.3

pPt-656788

H

    

IV

pPt-459396-

P1

17.6

4.03

9.8

9.8–24.4

pPt-472965

P2

    

pPt-536644

H

43.9

3.64

8.9

43.8–56.9

VI

pPt-457811

H

48.2

4.33

10.5

40.2–51.2

VIII

pPt-471749

H

42.6

3.18

7.8

42.6–43.0

IX

pPt-656192

H

43.6

3.21

7.9

43.6–45.0

X

pPt-470671

H

41.0

3.38

8.3

40.0–43.1

XI

toPt-440860

H

79.5

4.51

10.9

77.8–79.5

SCRC

I

pPt-538127-

H

13.3

3.14

7.7

12.3–14.3

pPt-656788

H

    

IV

pPt-459396

P1

16.6

3.98

9.7

12.7–22.6

pPt-472965

P2

    

pPt-536644

H

43.9

4.48

10.8

34.5–60.2

IX

pPt-655931

H

50.8

4.32

10.5

41.0–67.7

aP1—inherited from DG 00-683, P2—inherited from DG 08-28/13, H—descended from both parents

For AH, the most important QTLs were found on chromosomes I and III, explaining 11.5% (LOD = 4.79, 0.0 cM) and 11.4% (LOD = 4.72, 98.1 cM) of the variance, respectively (Table 4). The QTLs for AH were also detected on chromosomes II, IV and VIII.

The most prominent QTLs for CS were detected on chromosome IV, and they were significant in mean trait value and datasets from particular testing years (2012–2014) (Supplementary Table 2). Two QTLs for CS between 10.8 and 24.4 cM (peak at 17.6 cM, LOD = 4.22) and between 35.5 and 61.1 cM (peak at 43.9 cM, LOD = 5.32) on chromosome IV (Table 4) explained 10.2% and 12.7% of the variance, respectively. For CS, the QTLs were detected also on chromosomes I, VI, VIII, IX, X, and XI (Table 4, Fig. 1).

The most significant QTL for RC, which had a peak at 49.7 cM and explained 14.1% (LOD = 5.96) of the variance, was detected on chromosome I (Table 4). Partially overlapping QTL regions on chromosome IV between 13.7 and 22.6 cM (significant in mean trait value) and 33.5 and 60.2 cM (significant in mean trait value and datasets from particular years 2012–2014) were also detected for RC (Supplementary Table 2). Notably, analogous QTL peaks for RC and CS were detected, and the peak for RC at 17.6 cM explained 9.3% (LOD = 3.83) of the variance, while the peak at 43.9 cM explained 12.4% (LOD = 5.19) of the variance (Table 4). The QTLs for RC were also detected on chromosomes I, II, VIII, and X (Table 4, Fig. 1).

The QTLs for SCAH, SCCS and SCRC were detected on nine chromosomes: I, III, IV, VI, VIII, IX, X, XI and XII (Fig. 1, Table 4).

The most significant QTLs for SCAH were localized on chromosomes III and VIII explaining 10.0% (LOD = 4.11) and 10.8% (LOD = 4.48) of the variance, respectively (Table 4). The QTLs for SCAH were also detected on chromosomes IX and XII. For SCCS, the most prominent QTLs were localized on chromosomes VI and XI at 48.2 cM and 79.5 cM, explaining 10.5% (LOD = 4.33) and 10.9% (LOD = XI) of the variance, respectively. The QTLs for SCCS were also detected on chromosomes VIII, IX, and X (Table 4, Supplementary Table 2).

Location of QTLs for starch-corrected chip color on chromosomes I and IV were similar but shifted in comparison to those for AH, CS and RC (Fig. 1, Table 4). The position of the QTL peak at 56.6 cM for SCAH on chromosome IV, explaining 9.3% of the variance (LOD = 3.80), overlapped with the peak for AH. For SCAH, the QTL on chromosome I was similar to this AH at 0.0–14.3 cM; however, QTL peak was shifted to 12.3 cM and explained 9.8% of the variance (LOD = 4.05).

Two QTL peaks for SCCS were localized at 17.6 and 43.9 cM on chromosome IV and explained 9.8% (LOD = 4.03) and 8.9% (LOD = 3.64) of the variance, respectively (Table 4).

For this trait SCCS, the QTL peak on chromosome I was localized at 11.3 cM and explained 7.9% (LOD = 3.23) of the variance.

For SCRC, the most prominent QTL (34.5–60.2 cM) was localized on chromosome IV, the QTL peak at 43.9 cM explained 10.8% (LOD = 4.48) of the variance and overlapped with the peak for RC. The second QTL (12.7–22.6 cM) on chromosome IV was similar to this localized for RC; however, QTL peak was shifted and detected at 16.6 cM, explaining 9.7% (LOD = 3.98) of the variance. On chromosome I, the most significant QTL for SCRC was detected at 13.3 cM, explaining 7.7% (LOD = 3.14) of the variance. The QTLs for SCRC were also detected on chromosome IX.

Of 11 CAPS markers, six were associated with chip color: α-amylase (NL-AAM), phosphoenolpyruvate carboxylase kinase 1a (PPCK1a), pyruvate kinase (pk1), alternative oxidase (AOX1a, AOXb) and β-amylase (β-amyl) (Table 5, Supplementary Table 3). Most significant linkage between chip color and the candidate gene marker was found for CS and AOXb; this marker explained 11.4% of variance (LOD = 7.77). After starch correction, only one marker PPCK1a was significant, for SCAH and SCRC explaining 7.9% of variance (LOD = 3.20) and 7.6% of variance (LOD = 3.08), respectively (Table 5, Supplementary Table 3).
Table 5

The CAPS and SCAR markers mapped in population 12-3

Marker

Function assignment

Chromosome

References

GeneBank accession

Map position (cM)

AH

COS

RC

SCAH

SCCOS

SCRC

LOD

R2 (%)

LOD

R2 (%)

LOD

R2 (%)

LOD

R2 (%)

LOD

R2 (%)

LOD

R2 (%)

NL-AAM

α-Amylase

I

Ren et al. (2007)

M79328.1

24.8

3.13

7.7

ns

ns

ns

ns

ns

ns

ns

ns

ns

ns

PPCK1a*

PPC kinase 1a

IV

Śliwka et al. (2016)

AF531415.1

60.2

3.61

8.8

3.32

8.1

3.05

7.5

3.20

7.9

ns

ns

3.08

7.6

pk1

Pyruvate kinase

IV

Śliwka et al. (2016)

S53332.1

61.3

3.03

7.5

ns

ns

ns

ns

ns

ns

ns

ns

ns

ns

AOX1a

Alternative oxidase

VIII

Krusiewicz et al. (2011)

DQ270421

27.9

ns

ns

3.44

8.4

3.36

8.2

ns

ns

ns

ns

ns

ns

AOXb

Alternative oxidase

VIII

Śliwka et al. (2016)

DQ270421

37.5

ns

ns

7.77

11.5

4.32

10.4

ns

ns

ns

ns

ns

ns

β-amyl

β-Amylase

VIII

Krusiewicz et al. (2011)

AF393847

39.0

ns

ns

4.44

10.7

4.13

10.0

ns

ns

ns

ns

ns

ns

Bold numbers indicate statistical significance

ns not significant

*Marked as PEPC in Śliwka et al. (2016)

Discussion

TSC and reducing sugar content in potato tubers are quantitative traits. Genes contributing to the phenotypic effects are located on all twelve potato chromosomes (Menendez et al. 2002). In the mapping population 12-3, the QTLs for TSC mapped to similar positions as QTLs for reducing sugar content (this study and Śliwka et al. 2016). The effects on both traits can be controlled either by the same genes with pleiotropic effects or by genes located within physical proximity of each other (genetically linked) (Gebhardt 2005). To determine the QTLs directly associated with chip color and diminish the influence of starch, starch correction was applied to chip color data, calculated from the regression of the chip color traits on TSC.

We recognized that the QTLs on chromosomes I and IV were significant and reproducible for all chip color traits (AH, CS, and RC). Chromosome I was previously described as important for AH and RC in another chipping population 11–40; the main QTLs spanned 44.7–50.7 cM and 66.0–72.9 cM, respectively, and corresponded with the regions of the QTLs for AH and RC in population 12-3 (Sołtys-Kalina et al. 2015). The significance of the QTLs on chromosome IV for reducing sugar content and tuber fry color after CS was previously detected in diploid and tetraploid potatoes (Menendez et al. 2002; Massa et al. 2018). Chromosomes I and IV harbor genes encoding enzymes influencing starch content and involved in direct carbohydrate metabolism, e.g., β-galactosidase and β-amylase (chromosome I) and maltose content as phosphoglucoisomerase (chromosome IV); carbohydrate transport, e.g., triose-phosphate/phosphate translocator (chromosome I) or genes regulating cell wall biosynthesis, such as glycosyltransferase (chromosome I); transcription regulation, e.g., transcriptional factor B3 (Schönhals et al. 2017; Van Harsselaar et al. 2017). Despite most QTLs on genetic map 12-3 sharing similar locations for at least two chip color traits, we identified chromosomes with QTL for only one trait. We detected QTLs on chromosome III significant for AH and SCAH and on chromosome VI significant only for CS and SCCS (Fig. 1). This finding is in agreement with the results of other studies, where measuring the expression of the genes involved in starch and sugar metabolism in tubers provided markers for AH but not for CS (Neilson et al. 2017). Other studies have suggested that tendencies for the accumulation of reducing sugars after CS and RC are genetically independent, and reliable mapping of the QTLs allows dissection of the biological function of each QTL (Xiao et al. 2018).

We demonstrated that all analyzed chip color (AH, CS, and RC) traits and TSC were genotype dependent and correlated with each other with significant Pearson’s correlation coefficients (Tables 2, 3). Such interconnections within the examined traits indirectly inform us about the genetic linkage or multidirectional functions of genes involved in carbohydrate metabolism, which determine chip color. However, genotype dependency indicates high heritability of a trait. Among clones derived from the diploid potato hybrid S. phurejaS. stenotomum, broad-sense heritability for chip color after storage was estimated at 68% (Haynes 2008). According to Haynes (2008), such heritability makes clones a valuable source of an acceptable chip color in crosses 4 × –2 × . In our study, broad-sense heritability coefficients for CS and SCCS were 81.9% and 72.9%, respectively, and were even higher than the heritability of TSC (66.7%).

Higher starch content can cause an increased accumulation of reducing sugars during CS. This phenomenon is due mainly to the activation of starch-degrading enzymes (Zhang et al. 2017). This outcome is expected because the starch biosynthesis pathway and the starch degradation pathway remain in reciprocal relationships. Additionally, starch metabolism genes are organized into gene families, and their similar genomic location does not necessarily correspond to identical functions in starch metabolism (Van Harsselaar et al. 2017). It was proven that isoenzymes encoded by the genes at the same genomic location play distinct roles in the formation of transitory and storage starch in potatoes (Van Harsselaar et al. 2017). To minimize starch effect on chip color, we applied starch correction to chip color data. After correcting chip color values, the QTLs common for all traits were still detectable. Most chromosome segments harboring QTLs for chip color were also significant for starch-corrected traits. The QTLs for all starch-corrected traits were detected on chromosomes I and IV (as well as for all chip color traits). Nevertheless, the QTLs on nine chromosomes differed in length of QTL region, particularly at chromosome I (all starch-corrected traits), chromosome III (SCAH), chromosome IV (all starch-corrected traits), chromosome VI (SCCS), chromosome VIII (SCAH and SCCS), chromosome IX (SCAH and SCRC) chromosome X (SCCS) and chromosome XI (SCCS). Starch correction revealed new QTLs for SCAH on chromosome III at 10.3–11.5 cM, on chromosome IX at 43.6–60.4 cM and on chromosome XII at 74.8–77.4 cM (Fig. 1, Table 4).

In previous studies, QTLs for starch and reducing sugar contents were mapped to the same region of potato chromosomes (Gebhardt 2005). This finding is in agreement with our results (see the comparison of the QTLs for all chip color and TSC traits on chromosome I) (Fig. 2). The effect of starch content on chip color is also evident after comparing the significance of the candidate gene markers developed in population 12-3. Three markers, β-amyl, AOX1a and AOXb, that localized on chromosome VIII are significant both for TSC (Śliwka et al. 2016) and chip color after CS and RC (this study). After starch correction, the linkage between trait loci and these markers became irrelevant. We observed only one locus, PPCK1a (chromosome IV), that is associated with chip color after starch correction (SCAH and SCRC) (Table 5, Supplementary Table 3). Interestingly, the AGPaseS-a1334 marker of the main rotary enzyme involved in starch turnover that mapped in population 12-3 to chromosome I was associated with TSC (Śliwka et al. 2016) but none of the chip color traits (Supplementary Table 3). In contrast, in other study, the pleiotropic effects of the alleles of the same gene had an antagonistic or a synergistic influence on the potato tuber traits (Schönhals et al. 2017). The AGPaseS alleles AGPsS-9a and AGPsS-10a were positively and negatively correlated with both total starch content and chip color AH and after CS, respectively (Li et al. 2013).
Fig. 2

Overview of QTL for chip color and TSC (Śliwka et al. 2016) detected on chromosome I in the diploid potato mapping population 12-3

QTL mapping allows for the identification of genomic regions which are highly statistically correlated with the quantitative trait, but does not identify their molecular basis (Chen et al. 2001). Functional complementation analysis in conjunction with sequence and expression studies of candidate genes can provide information on their function as quantitative trait loci.

Conclusions

Results from this study confirm polygenic character of chip color traits, genotype dependency and high broad-sense heritability value of these traits. Starch correction of chip color data allows separation of genetic factors responsible for chip color and starch content. Our analysis confirms influence of starch content on chip color that can modify the landscape of obtained QTLs for chip color.

Notes

Acknowledgements

The research was supported by The National Science Centre in Poland (No. UMO-2015/19/B/NZ9/00776).

Compliance with ethical standards

Conflict of interest

All authors declare that they have no conflict of interest.

Ethical standards

This article does not contain any studies with human participants or animals performed by any of the authors.

Supplementary material

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Supplementary material 1 (DOCX 15 kb)
438_2019_1616_MOESM2_ESM.xlsx (71 kb)
Supplementary material 2 (XLSX 70 kb)
438_2019_1616_MOESM3_ESM.xlsx (13 kb)
Supplementary material 3 (XLSX 13 kb)

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Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  1. 1.Plant Breeding and Acclimatization Institute, National Research InstituteMłochów Research CentreMłochówPoland
  2. 2.Laboratory of Seed Production and Plant Breeding EconomicsPlant Breeding and Acclimatization Institute, National Research InstituteBłoniePoland

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