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Page 1: Department of Physics, Chemistry and Biology1218982/FULLTEXT01.pdf · As global meat consumption is rising, the negative impact the animal husbandry sector has on the environment

Linköping University | Department of Physics, Chemistry and Biology Bachelor thesis, 15 hp | Biology programme: Physics, Chemistry and

Biology Spring or Autumn term 2018 | LITH-IFM-G-EX--18/3526--SE

Identifying variation in the OMT gene in Pisum sativum and its relevance regarding protein content

Louise Carlsson

Examinator, Urban Fridberg, IFM Biologi, Linköpings universitet Tutor, Jenny Hagenblad, IFM Biologi, Linköpings universitet

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Datum

Date

2018-05-30

Avdelning, institution

Division, Department

Department of Physics, Chemistry and Biology

Linköping University

URL för elektronisk version

ISBN

ISRN: LITH-IFM-x-EX--18/3526--SE

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Serietitel och serienummer ISSN

Title of series, numbering

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Språk

Language

Svenska/Swedish

Engelska/English

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Rapporttyp

Report category

Licentiatavhandling

Examensarbete

C-uppsats D-uppsats

Övrig rapport

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Titel

Title Identifying variation in the OMT gene in Pisum sativum and its relevance regarding protein content

Författare

Author Louise Carlsson

Nyckelord

Keywords

Meat consumption, environment, alternative protein sources, Pisum sativum, OMT gene, QTL

Sammanfattning

Abstract

As global meat consumption is rising, the negative impact the animal husbandry sector has on the

environment will increase. Greenhouse gas emissions have increased by 40 % during the last 200

years, and the animal husbandry sector is today responsible for 18 % of the total greenhouse gas

emissions from food production. More environmentally friendly protein sources, such as soy and

pea, must therefore be developed. Pisum sativum can (unlike the most popular meat alternative –

soy) be grown all over Europe and might thus be a good alternative that allows for locally sourced

alternatives to meat protein. Identifying genes with important agricultural properties might aid the

development of pea cultivars with a more reliable protein content. One such gene was

hypothesised to be the OMT gene, which is strongly expressed during the embryonic development

of P. sativum and seems involved in functions such as seed storage and protein synthesis. Thirty-

one accessions of P. sativum were tested to see if different improvement types differed from each

other regarding protein content and seed weight, but no such differences were found. DNA was

extracted from all accessions, sequenced, and successful sequences were tested to determine if

variation in the gene correlated with protein content. Two haplotypes were identified, but there

was no correlation between them and protein content found. Based on the results of this study,

there is little evidence that the OMT gene correlates with protein content in the studied accessions.

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Contents

1 Abstract ............................................................................................... 4

2 Introduction ......................................................................................... 4

3 Material and methods .......................................................................... 6

3.1 Preparation of test sample and DNA extraction .......................... 6

3.2 PCR .............................................................................................. 7

3.3 Sequencing and processing of sequences .................................... 7

3.4 Statistical analysis ........................................................................ 7

4 Results ................................................................................................. 8

5 Discussion ........................................................................................... 9

5.1 Social and ethical aspects ........................................................... 11

5.2 Conclusion.................................................................................. 12

6 Acknowledgements ........................................................................... 12

7 References ......................................................................................... 13

8 Appendix ........................................................................................... 15

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1 Abstract

As global meat consumption is rising, the negative impact the animal

husbandry sector has on the environment will increase. Greenhouse gas

emissions have increased by 40 % during the last 200 years, and the

animal husbandry sector is today responsible for 18 % of the total

greenhouse gas emissions from food production. More environmentally

friendly protein sources, such as soy and pea, must therefore be

developed. Pisum sativum can (unlike the most popular meat alternative –

soy) be grown all over Europe and might thus be a good alternative that

allows for locally sourced alternatives to meat protein. Identifying genes

with important agricultural properties might aid the development of pea

cultivars with a more reliable protein content. One such gene was

hypothesised to be the OMT gene, which is strongly expressed during the

embryonic development of P. sativum and seems involved in functions

such as seed storage and protein synthesis. Thirty-one accessions of P.

sativum were tested to see if different improvement types differed from

each other regarding protein content and seed weight, but no such

differences were found. DNA was extracted from all accessions,

sequenced, and successful sequences were tested to determine if variation

in the gene correlated with protein content. Two haplotypes were

identified, but there was no correlation between them and protein content

found. Based on the results of this study, there is little evidence that the

OMT gene correlates with protein content in the studied accessions.

Key words: Meat consumption, environment, alternative protein sources,

Pisum sativum, OMT gene, QTL

2 Introduction

Global meat consumption is predicted to rise due to urbanization and

rising incomes (Tillman and Clark, 2014). Global greenhouse gas

emissions from all sectors, such as the transport and food production

sectors, have increased by over 40 % over the last 200 years (Steinfeld et

al., 2006), and it is estimated that the increase in meat consumption will

contribute to an 80 % increase in greenhouse gas emissions from food

production alone by the year of 2050 (Tillman and Clark, 2014). Today,

the animal husbandry sector produces 18 % of the global greenhouse gas

emissions, and meat production from ruminant animals emit 250 times

more greenhouse gas emissions per kilo protein than legumes do

(Steinfeld et al., 2006; Tillman and Clark, 2014). The production and

consumption of meat substitutes based on plant protein, such as soy and

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pea, is thus an environmentally more sustainable alternative (Elzerman et

al., 2013; Davis et al., 2010).

Soy-based products are the oldest and most well-known meat

substitutes, and soy has an average protein content of about 400 g

protein/kg dry seed matter (Vollman et al., 2000). Soy provides roughly

60 % of the world’s current supply of vegetable protein (Vollman et al.,

2000), where the majority of the soy grown today is used as a protein

source for animals in the animal husbandry sector (Davis et al., 2010).

However, soy grown in northern climates suffers from a reduced protein

content and large seasonal variations due to low temperatures and high

amounts of precipitation (Vollman et al., 2000). Thus, soy can be grown

in many parts of Europe, such as Italy, France and Croatia (Vollman et

al., 2000), but the South America climate is more suitable for it, so soy is

primarily grown there (Vollman et al., 2000). This is however not

without environmental problems (Davis et al., 2010). The large-scale

production of soy in South America causes soil erosion, deforestation and

elevated pressure on the remaining rainforests (Davis et al., 2010). The

increased global transport of soy also causes a rise in transport-linked

emissions (Davis et al., 2010). Due to these issues, locally produced

sources of plant protein, that are adapted to the northern climate, would

be a more environmentally sustainable alternative.

Pisum sativum, also called pea, is one of the most important

cultivated pea plants in Europe, and it is known to have a high protein

content (Krajewski et al., 2012). The pea is an important human food

source containing fibre, protein, vitamins and important minerals, and it

contains less anti-nutritive molecules, such as protease inhibitors, than

soy does (Olle et al., 2015; Barac et al., 2015). According to Nemecek et

al. (2008), peas can easily be grown in many parts of Europe, reducing

the need for long transports and thus making them a more suitable and

sustainable alternative to meat than soy.

The mean protein content in Pisum sativum is generally 230 gram

protein/kg, but this is strongly influenced by genetic and environmental

factors (Olle et al., 2015; Barac et al., 2015). This means that cultivated

varieties of Pisum sativum can exhibit very different protein contents

from year to year, making it more difficult to predict the protein content

of the finished product (Krajewski et al., 2012). Research focused on

identifying genes which determine protein content is thus needed

(Krajewski et al., 2012). The gene 2-oxyglutarate/malate translocator

(OMT) is strongly expressed during Pisum sativum’s embryonal

development and it plays an important role during seed storage

(Riebeseel et al., 2010). OMT-knockouts have delayed expressions of

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storage proteins and mature OMT-knockout seeds have lower protein

contents compared to mature seeds with OMT, suggesting that OMT

regulates seed maturation, seed weight and the conversion of

carbohydrates to protein and amino acids (Riebeseel et al., 2010). The

OMT gene thus seems to have important protein content properties.

Agriculture itself accounts for 2,5 times more emissions than

global transport does (Smetana et al., 2015), so to reach the goal of the

Paris agreement (to not increase the global temperature by more than 1,5

degrees Celsius and a maximum of 2 degrees Celsius above the pre-

industrialised temperature), all measures to decrease global greenhouse

gas emissions must be taken. In the light of this an increased

understanding of how OMT influences the nutritional content in peas

could be beneficial, so that new varieties of pea that are adapted to the

Nordic climate (thus reducing the need for long transports from South

America to Europe) can be developed. This study intends to determine if

variation in the OMT gene correlates with protein content and to

determine if the OMT gene affects protein content, compare the OMT

gene between different accessions of pea that are in different

improvement stages.

3 Material and methods

DNA and nutritional data regarding protein content, and data

regarding seed weight, was available from thirty-one pure line accessions

of pea plants that had been grown in a common garden. An accession is a

specific plant material collected from a particular area. All accessions

were natively from different locations around Europe and in different

improvement stages – namely wild, cultivar, European landrace and

Swedish landrace (Appendix 1). An improvement stage refers to how

much the plant has been improved, where for example the improvement

stage “wild” has not been improved at all. The seeds grown and used for

DNA extraction and sequencing came from the gene banks Nordgen and

John Innes center. The accession NGB-103517 was grown and used as a

test sample to optimize the PCR protocol used for the remaining plant

material.

3.1 Preparation of test sample and DNA extraction

NGB-103517 seeds were planted and grown for two weeks. When

the leaves were about 1x1 cm large, two leaves were dried with silica gel

in Eppendorf-tubes to prepare them for DNA extraction. The DNA was

extracted with the Qiagens DNeasy plant miniprep kit. Already extracted

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DNA was available from the remaining accessions. Partial sequence data

for 25 of the accessions was likewise available.

3.2 PCR

PCR was run using a Bio-Rad S1000 Thermal cycler. The primers

used in the PCR-reactions were omt-2 Forward

(AATCTGGTTTCTTCCCACTCC) and omt-2 Reverse

(CCCAAGTCCAAGCCAGATTAT). For the PCR reactions, the primer

concentration was 0.3 mM and the dNTP concentration was 10 mM.

Long-range Taq-polymerase (5 U/µl) from Fermenta was used with its

accompanying 10X long-PCR buffer with MgCl2. The PCR protocol used

was 94 degrees Celsius for 2.30 minutes, 94 degrees Celsius for 15

seconds, 58 degrees Celsius for 40 seconds, 72 degrees Celsius for 3

minutes, then 94 degrees Celsius for 15 seconds to 72 degrees Celsius for

3 minutes was repeated for 34 cycles, and lastly 72 degrees for 10

minutes.

3.3 Sequencing and processing of sequences

PCR-products from successful PCR-reactions were purified from

unincorporated primers and nucleotides by adding exonuclease (20 U µl),

Fast AP (1 U/ µl) and ddH2O to each PCR-reaction. This mixture was

then run for 30 minutes in 37 degrees Celsius in the PCR-machine,

followed by 5 minutes in 95 degrees. The sequencing primers used were

omt-2 Forward (sequence AATCTGGTTTCTTCCCACTCC), omt-2

Reverse (sequence CCCAAGTCCAAGCCAGATTAT), omtF-inter

(CCCTCCTACCATGAAATCTAGTC) omtR-inter

(GGGTGCATCAGGACTAGATTTC), omtseqF2

(TTTACCAGGTGGGACTTTGG) and omtseqR2

(CATGTGTCCAGTGGTTGATTTG).

The software Geneious, version 11.1.4 from Biomatters Ltd. was used for

visual examination of the resulting sequences.

3.4 Statistical analysis

The mean values and standard deviations of protein content and seed

weight for all accessions were calculated, using Excel version 1803, for

the different pea accessions in various improvement stages, and a one-

way ANOVA was performed using SPSS statistics version 24 to

determine if there was any difference in protein content between the

different improvement stages. An independent samples t-test was

performed using SPSS Statistics in order to determine whether the protein

content differed between groups of accessions. In order to find out if

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there has been selection on the gene, a Tajima’s D test was performed

using the software DnaSP on all landrace accessions.

4 Results

The minimum seed weight of all accessions was 2.91 g, the

maximum was 12.62 g, and the mean seed weight of all thirty-one

accessions was 8.51 g. No significant difference regarding seed weight

between the different breeding types was found (ANOVA, F (3) = 1.466; P

= 0.246). The minimum protein content of all accessions was 191 g/kg

dry substance, the maximum was 338 g/kg dry substance and the mean

was 264 g/kg dry substance (Figure 1). There was no significant

difference in the mean protein content between the four breeding types

(ANOVA, F (3) = 1.161; P = 0.343).

Figure 1. Protein content in g/kg dry substance and standard deviations for each accession. All accessions are organised after breeding type. From left to right: European landrace (EL), Swedish landrace (SL), Cultivar (C) and Wild (W)

Sequencing generated twelve partial sequences: JIC1031,

NGB13138, NGB13469, NGB17871, NGB20117, NGB101997,

NGB103517, NGB103567, NGB13487, NGB10660, NGB102123 and

NGB14639. For unknown reasons, sequencing of the remaining

accessions failed. Appendix 2 shows all the sequenced accessions. Visual

examination of an alignment of all twelve accessions showed that

NGB10660, NGB102123 and NGB14639 shared a number of indels in

the same region. No other variation that separated groups of accessions

from each other was found, so, based on the indels, accessions were

-

50

100

150

200

250

300

350

400

450

JIC

10

31

(EL

) J

IC1

52

5 (

EL)

JIC

17

78

(EL

) N

GB

10

28

14

(EL

) N

GB

17

87

1 (

EL)

NG

B1

78

83

(EL

) N

GB

17

88

4 (

EL)

NG

B2

01

17

(EL

) N

GB

20

12

3 (

EL)

NG

B1

01

81

9…

NG

B1

03

51

7 (

SL)

NG

B1

03

51

8 (

SL)

NG

B1

03

59

0 (

SL)

NG

B1

34

69

(SL

) N

GB

13

48

7 (

SL)

NG

B1

41

53

(SL

) N

GB

14

15

4 (

SL)

NG

B1

41

55

(SL

) N

GB

14

63

9 (

SL)

NG

B1

46

42

(SL

) N

GB

17

86

8 (

SL)

NG

B1

78

73

(SL

) N

GB

17

88

1 (

SL)

NG

B1

01

99

7 (

C)

NG

B1

03

07

1 (

C)

NG

B1

06

60

(C

) N

GB

13

13

8 (

C)

NG

B4

01

8 (

C)

NG

B1

02

02

7 (

W)

NG

B1

02

12

3 (

W)

NG

B1

03

56

7 (

W)

Pro

tein

co

nte

nt

(g/k

g d

ry s

ub

stan

ce)

Accessions

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grouped into two haplotypes. The mean value of the haplotype with

indels was 249 g/kg dry substance, and the mean for the haplotype

without indels was 259 g/kg dry substance. There was no significant

difference in protein content between the two haplotypes (t-test, F (10) =

0.595; p = 0.458). Sequences from the entire OMT gene was obtained

from 7 accessions: JIC1778, NGB10660, NGB13487, NGB14639,

NGB20117, NGB103517 and NGB103567. The minimum protein

content in this group of 7 accessions was 267 g/kg dry substance, the

maximum was 338 g/kg dry substance and the mean was 292 g/kg dry

substance. Visual examination of an alignment of these 7 sequences

showed that the accession NGB14639 was genetically deviant from the

other accessions. NGB14639 exhibited the lowest protein content in that

group, suggesting a relationship between the OMT gene and a lower

protein content.

All of the partial sequences from the accessions with breeding

types European landrace and Swedish landrace, namely NGB103517,

NGB13469, NGB13487, NGB14639, JIC1031, NGB17871 and

NGB20117, were grouped together and a Tajima’s D value was

calculated (D = -1,531; p > 0.05). The non-significant p-value shows that

no selection could be detected for the sequenced parts of the OMT gene

for these accessions. No selection was found on the gene in the fully-

sequenced landraces NGB103517, NGB13487, NGB14639, NGB20117

and JIC1778 either (D = -1.227; p > 0.05).

5 Discussion

In Sweden, Pisum sativum has been improved since the late 19th

century, but focus was not on protein content but on perfecting properties,

such as taste and how it boiled, that would make a good pea soup

(Lyhagen, 2016). During the second World War, cultivation and

improvement of peas increased, since peas were an important native

protein source (Sjödin, 1997). Again, though, focus was not on protein

content but rather on how to increase homogeneity in all pea cultivars and

on properties that allow for a good soup (Sjödin, 1997). Thus, in Sweden,

protein content has not been a primary goal during the improvement of

Pisum sativum, and the results of this study supports just that.

Based on the results from the material used in this study, no selection

on protein content during the improvement stages of Pisum sativum could

be detected. This is indicated by the lack of a significant difference when

comparing the protein content between the four different breeding types.

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If protein content had been selected for, one would have expected that the

cultivated accessions would have had a significantly higher (or lower)

protein content than for example the wild accessions.

In general, negative Tajima’s D values might depend on selection or

population growth, and in Pisum sativum, population growth is expected

since the plant spread from the Mediterranean to the rest of Europe (Olle

et al., 2015). However, the results from this study cannot detect this, and

no selection on the OMT gene can be detected either, since the p-values

were non-significant. These results agree with the fact that there doesn’t

seem to have been any selection on protein content between the different

breeding types.

Strong evidence presented by Riebeesel et al. (2010) indicate that the

OMT gene is involved in several biochemical pathways related to protein

synthesis. In spite of this, the two haplotypes from the 12 partially

sequenced accessions did not differ in protein content, meaning that the

OMT gene probably has limited effect on protein content in these 12

accessions. During examination of the entire OMT gene, as was possible

for 7 fully-sequenced accessions, it was found that NGB14639 deviates

the most genetically from the remaining 6 accessions. The protein content

in NGB14639 is lower than in the other fully-sequenced accessions, and

one explanation could be that the genetic deviance shown in the OMT

gene of NGB14639 is responsible. The small sample size would however

have made a statistical test unreliable, so a larger sample size for a fully-

sequenced OMT gene is needed to determine if the variance shown in

NGB14639 actually does correlate with a low protein content.

Results from Riebeesel et al. (2010) suggests that the OMT gene

regulates the conversion of carbohydrates to protein and amino acids,

thus indicating that the OMT gene might in part play a role regarding

protein content in pea. In the future, it would be interesting to see if

similar results as these would be attained with all accessions fully

sequenced. Also, if evidence shows that an allele in the OMT gene does

affect the protein content in P. sativum, does the allele affect it in a

negative (i.e. provides a lower protein content) or in a positive (i.e.

provides a higher protein content) way?

This study did not find a connection between genetic variation in the

OMT gene and protein content, but this does not mean that the accessions

used do not have other genes that can have important agricultural

properties. Also, the accessions used in this study generally had a high

protein content, with the mean protein content in all accessions being 264

g/kg dry substance, which can be compared to the general mean protein

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content in Pisum sativum, which is 230 g/kg dry substance (Olle et al.,

2015). This implies that, despite the fact that the OMT gene does not

seem to provide this raised protein content, the material used in this study

is appropriate for further improvement.

As previously mentioned, a more consistent nutritional content is

needed in the pea. If the results of this study are correct, that the OMT

gene does not affect protein content, even when data from all accessions

is available, one way to move forward could be the localisation of

quantitative trait loci (QTLs). QTL can be localised to specific regions of

the genome, meaning that their effects can be estimated individually

(Tar’an et al.,2004). Molecular markers may also allow for early

selection of breeding lines, quickening the development rate of pea

cultivars with desirable traits (Tar’an et al.,2004). By mapping and

refining QTLs, genetic areas that affect nutritional content might be

found, which might help with identifying more nutritional genes. More

focus on QTL localisation might thus be valuable in the search for genes

that provide important agricultural properties, such as a raised protein

content, in Pisum sativum.

Identifying so called “nutrition genes”, as attempted in this study, is

important, but given the sensitivity to environmental conditions found in

the already identified genes (Tar’an et al.,2004), it is possible that

nutrition genes found in the future will share the same environmental

sensitivity. Since our climate is changing and becoming less predictable,

mainly due to global warming, more focus is needed not only on finding

nutrition genes but also on refining them, so that pea cultivars that are

consistent despite unpredictable weather can be engineered.

5.1 Social and ethical aspects

Evidence that a plant-based diet is more beneficial to human health

than a meat-based diet is piling up. According to Satija et al. (2016), a

plant-based diet reduces the risk of type 2 diabetes and coronary heart

disease. A plant-based diet is also associated with a healthier weight and

lower cholesterol- and blood sugar levels compared to a meat-based diet,

as well as a reduced risk of premature death from cancer (Dinu et al.,

2017; Tillman and Clark, 2014). If the human consumption of meat

products is not reduced, this will eventually have serious negative

impacts on human health.

Meat production has another backside. The animals, seen as

products rather than sentient beings, suffer tremendously in the growing

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industrialisation of meat production (Pluhar, 2010). To support the global

demand for meat today, many animals are kept in factory farms where

they are stressed and unable to carry out natural behaviours (Pluhar,

2010).

This study, and studies like it, could aid in the development of new

and improved varieties of meat substitutes. In a way, this can be

considered as the development of a genetically modified organism –

something many people take issue with. However, studies like this one

are important, because reducing the human climate footprint is a must if

the goals of the Paris agreement are to be met (which is needed to reduce

global warming). Since finding nutritional genes in plants can lead to the

development of more nutritional plants, and these improved plants (with

for example a raised protein content) can possibly outcompete certain

animal products, this will hopefully lead to the reduction of greenhouse

gases in our atmosphere and thus reduce global warming.

To sum up: Studies like this one can eventually help improve

human health, reduce suffering for many animals and reduce global

warming – simply by aiding in the development of a better source of

plant protein.

5.2 Conclusion

This study did not suggest that there has been any selection for

protein content or seed weight between the four breeding types European

landrace, Swedish landrace, wild and cultivar. In addition, no correlation

between variation in the OMT gene and protein content was found, and

no significant selection on the OMT gene was detected. Since genes

might have the same effect in all material, this study shows how

important it is to study properties, such as nutritional content, in different

materials with various genetic backgrounds and in many different genes.

This will increase the understanding of the functional properties of

nutrition genes and thus aid in the development of alternative protein

sources to animal protein.

6 Acknowledgements

I am grateful to Erika Andersson, who is carrying out a very similar

project but with a different gene, for her guidance and for many hours of

useful discussions. I am also thankful to Maria Lundqvist for giving me

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inspirational talks when needed and for guiding me when examining

DNA-sequences. I am especially grateful to my tutor, Jenny Hagenblad,

who has spent many hours answering emails, finding reagents/templates,

analyzing results from the gel electrophoresis and for giving excellent

encouragement and motivation when the PCR-reactions did not go my

way. I am also thankful to my examinator, Urban Friberg, and to my

classmates who have reviewed this article.

7 References

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Krajewski, P., Bocianowski, J., Gawlowska, M., Kaczmarek, Z.,

Pniewski, T., Święcicki, W., Wolko, B. (2012). QTL for yield

components and protein content: a multienvironment study of two pea

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Ma, Y., Coyne, C.J., Grusak, M.A., Mazourek, M., Cheng, P., Main, D.

and McGee, R.J. (2017). Genome-wide SNP identification, linkage map

construction and QTL mapping for seed mineral concentrations and

contents in pea (Pisum sativum L.). BMC Plant Biology. 17: DOI

10.1186/s12870-016-0956-4

Nemecek, T., von Richthofen, J.S., Dubois, G., Casta, P., Charles, R.,

Pahl, H. (2008). Environmental impacts of introducing grain legumes into

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Olle, M., Narits, L. and Williams, I.H. (2015). The influence of variety on

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8 Appendix

Appendix 1. All accessions used in this study, their native countries and their breeding types, seed weight and protein content. Accessions were available from the gene banks Nordgen and John Innes center.

Accession Native country Breeding type Seed weight (g) Protein content g/kg DS

JIC1031 Germany European landrace 9,3 235,3

JIC1525 Greece European landrace 6,9 294,8

JIC1778 France European landrace 10,8 291,8

NGB102814 Poland European landrace 9,7 307,8

NGB17871 Latvia European landrace 4,2 191,3

NGB17883 Latvia European landrace 9,6 246,2

NGB17884 Latvia European landrace 5,2 232,3

NGB20117 Denmark European landrace 5,1 268,7

NGB20123 Denmark European landrace 9,0 200,0

NGB101819 Sweden Swedish landrace 8,0 214,4

NGB103517 Sweden Swedish landrace 9,2 273,0

NGB103518 Sweden Swedish landrace 8,7 224,0

NGB103590 Sweden Swedish landrace 2,9 277,2

NGB13469 Sweden Swedish landrace 8,2 260,0

NGB13487 Sweden Swedish landrace 11,3 299,0

NGB14153 Sweden Swedish landrace 9,9 276,8

NGB14154 Sweden Swedish landrace 10,6 300,5

NGB14155 Sweden Swedish landrace 11,8 298,3

NGB14639 Sweden Swedish landrace 10,8 266,8

NGB14642 Sweden Swedish landrace 8,1 268,2

NGB17868 Sweden Swedish landrace 6,7 253,0

NGB17873 Sweden Swedish landrace 12,6 272,2

NGB17881 Sweden Swedish landrace 12,4 298,4

NGB101997 Sweden Cultivar 9,9 253,6

NGB103071 Germany Cultivar 12,5 227,2

NGB10660 Sweden Cultivar 4,0 307,3

NGB13138 Sweden Cultivar 6,9 212,0

NGB4018 Sweden Cultivar 10,4 247,6

NGB102027 Turkey Wild 8,5 287,0

NGB102123 Israel Wild 5,9 261,7

NGB103567 Bulgaria Wild 4,6 338,3

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Appendix 2. All partially- and fully-sequenced accessions.

Partially sequenced accessions Fully-sequenced accessions

JIC1031 NGB103567

NGB13138 NGB10660

NGB13469 NGB14639

NGB17871 NGB13487

NGB20117 NGB103517

NGB101997 NGB20117

NGB103517 JIC1778

NGB103567 NGB13487 NGB10660 NGB102123 NGB14639


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