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. 2020 Jan 22;8(1):e11313. doi: 10.1002/aps3.11313

Development of chloroplast microsatellite markers for giant ragweed (Ambrosia trifida)

Himanshu Sharma 1,2, Jaakko Hyvönen 2,3, Péter Poczai 2,
PMCID: PMC6976888  PMID: 31993255

Abstract

Premise

Plant invasions are increasing globally, and extensive study of the genetic background of the source and invading populations is needed to understand such biological processes. For this reason, chloroplast microsatellite markers were identified to explore the genetic diversity of the noxious weed Ambrosia trifida (Asteraceae).

Methods and Results

The complete chloroplast genome of A. trifida was mined for microsatellite loci, and 15 novel chloroplast primers were identified to assess the genetic diversity of 49 Ambrosia samples. The number of alleles amplified ranged from two to six, with an average of 3.2 alleles per locus. Shannon's information index varied from 0.305 and 1.467, expected heterozygosity ranged from 0.178 to 0.645, and the polymorphism information content value ranged from 0.211 to 0.675 (average 0.428). The cross‐species transferability of the 15 microsatellite loci was also evaluated in four related Ambrosia species (A. artemisiifolia, A. maritima, A. psilostachya, and A. tenuifolia).

Conclusions

The novel chloroplast microsatellite markers developed in the current study demonstrate substantial cross‐species transferability and will be helpful in future genetic diversity studies of A. trifida and related species.

Keywords: Ambrosia trifida, Asteraceae, microsatellites, molecular markers, noxious weeds, plant invasions, plastid, polymorphism


Giant ragweed (Ambrosia trifida L.) belongs to the Asteraceae family (tribe Heliantheae, subtribe Ambrosiinae) together with 40–50 other ragweed (Ambrosia L.) species (Payne, 1964). The genus Ambrosia is native to North America with a center of diversity located in the Sonoran Desert (Martin et al., 2018). Giant ragweed is known as an invasive plant on the European continent together with common ragweed (A. artemisiifolia L.). Both species are noxious weeds and interfere with the growth development and establishment of various crops (Kong et al., 2007). The primary habitat of A. trifida is flood plains and ditch banks, but in the recent past it has spread to the Corn Belt in the United States, causing great economic losses. In addition to its competition with crops, Ambrosia pollen is responsible for allergic reactions in late summer and autumn (Ghosh et al., 1991) and constitutes a major health problem in North America and several countries in Europe. Urbanization and long‐distance transport capacity have enhanced the spread of ragweed species (Montagnani et al., 2017), while global heating and rising CO2 emissions are increasing the amount of Ambrosia pollen in the air (Wayne et al., 2002).

Ambrosia research is mostly concentrated on common ragweed, and therefore the population structure of other ragweed species is mostly unknown. For A. artemisiifolia, microsatellite markers were developed to determine the origins of invading populations in Europe (Gaudeul et al., 2011), and the history of the invasion was also investigated using herbarium specimens (Martin et al., 2014). Genomic resources are also under development to facilitate further research in ragweed genetics, e.g., the plastid genome of A. trifida (Sablok et al., 2019) and A. artemisiifolia (Amiryousefi et al., 2017; Nagy et al., 2017) have been sequenced. To the best of our knowledge, no reports have been published on chloroplast microsatellite markers for A. trifida, and the cross‐species transferability of microsatellite markers has not been investigated.

In the current study, we identified 15 novel chloroplast microsatellite markers, which will enrich the existing genomic resources for ragweeds, and we have successfully validated these markers in relevant giant ragweed populations and related species of Ambrosia.

METHODS AND RESULTS

We searched the complete chloroplast genome of A. trifida (Sablok et al., 2019; GenBank accession number NC036810) for microsatellite loci. Simple sequence repeats (SSRs) were identified using MISA software (Thiel et al., 2003). Mononucleotide repeats were excluded from our search, and we applied a threshold based on minimum length criteria (unit size/minimum repeat time): six for di‐, four for tri‐, and three for tetra‐, penta‐, and hexanucleotide repeats, respectively. MISA allowed the identification and localization of perfect as well as compound microsatellites. Compound SSRs were considered repeats disrupted by a non‐repetitive length of 100‐bp sequence. Based on the flanking regions of the repeat regions, we designed primers for 15 cpSSR loci using the BatchPrimer3 version 1.0 web program (You et al., 2008). The parameters for designing PCR primers were as follows: (1) primer length ranging from 18 to 23 bp; (2) PCR product size range of 100–300 bp; (3) melting temperature between 50°C and 70°C, with 55°C as the optimum annealing temperature; and (4) a GC content of 40–70%, with an optimum of 50% (Table 1).

Table 1.

The characteristics of 10 polymorphic and five monomorphic chloroplast microsatellite loci developed for Ambrosia trifida.

Locusa Primer sequences (5′–3′) Position Repeat motif Allele size range (bp) Fluorescent label GenBank accession no.
AART_MS2 F: GCAGTCAATTATGTGTCTCCT psbC gene (TTC)3 142–148 HEX MN385584
  R: GTTCAAAATCACGATCAATTC          
AART_MS3 F: TGAAGTATGGAAGGAGATCAA rbcL gene (GGATAA)3 136–148 6‐FAM MN385586
  R: TCGGCTCAATCCTTTTAGTA          
ATRI_MS9 F: GGAGTTCTTTCGTCTCAAAAT ycf4‐cemA IGS (ATT)3 138–144 TAMRA MN385585
  R: TCCCTAATAGTCAAAAGCACA          
AART_MS5 F: CCTTGTACCATATTCCTAGCC petA‐psbJ IGS (TTCT)4 146–154 HEX MN385587
  R: ACATTTCAATCTCACAATAGCA        
AART_MS9 F: CAGAATTCCAGTGTCTAATGG ndhA intron (TATC)4 140–160 6‐FAM MN385588
  R: TGAGATTTTCATCTCATACGG          
ATRI_MS6 F: TACTGTTTAGGCAGAATACCG ycf1 gene (AGA)3 156–162 TAMRA MN385593
  R: CCCATACATATAATCAACCGTA        
ATRI_MS8 F: GTAATGGCAATTGGAATGATA ndhD gene (TATT)3 145–161 HEX MN385592
  R: AGGTAGAAAAATGGAGATGGA        
AART_MS11 F: CCAAAATTTGAGCGAAAATAG trnL‐rpl32 IGS (TTTA)3 159–167 6‐FAM MN385591
  R: TTGGCAGTCCCTATTCTAATC          
AART_MP6 F: TCTTACAAGGAAAGGGAAA rpl33‐rps18 IGS (TATT)4 137–153 TAMRA MN385589
  R: TAGTTTATTTCTTATCCCT          
AART_MP1 F: GCAGGTTAGATTCAAGCACTA trnK‐rps16 IGS (AATT)3 157–163 HEX MN385590
  R: ATGCAGTGCCRATSYAACACA          
ATRI_MZ1 F: GGTAATCATTCAAATTAAGAACGGAAG trnK intron (AATG)3 200
  R: TTCTGAGAATATTTTATTCTTTCCGGC          
ATRI_MZ2 F: AGTGGACCTGACCCATTGAA trnT‐psbD IGS (TTTA)3 130
  R: CGACAAATTCTTGCGGAGTCC          
ATRI_MZ3 F: GATCTCGGGTGTGATGGTCA trnS‐psbZ IGS (ATCT)3 103
  R: CGGGGGAGAATGGAATTGGG          
ATRI_MZ4 F: TCGCTAATTGATCTTTACGGTGC ycf3 intron II (TTTC)3 163
  R: AGGGCTTTCTACATATGCATCGT          
ATRI_MZ5 F: TGGCGAAATTGGTAGACGCT trnL intron (AAAC)3 198
  R: GCTTCCATCGAGTCTCTGCA          

IGS = intergenic spacer.

a

The annealing temperature for all primers is 55°C except for AART_MP6 for which it is 52°C.

After primer design, amplification efficiency and polymorphism were evaluated using 29 A. trifida DNA samples from two different historical populations collected in Europe and North America. Cross‐amplification in the genus Ambrosia was assessed in five individuals each of A. artemisiifolia, A. maritima L., A. psilostachya DC., and A. tenuifolia Spreng. DNA samples were taken from the herbarium collection of the Finnish Museum of Natural History (Appendix 1). Leaf samples were rinsed with deionized water and 70% ethanol, and total genomic DNA was isolated using the E.Z.N.A. Plant Kit (Omega Bio‐tek, Norcross, Georgia, USA). Laboratory work was carried out in a separate DNA laboratory at the University of Helsinki. Blank samples were processed together with herbarium material during DNA extractions. Final concentrations were measured with a Qubit 2.0 Fluorometer (Thermo Fisher Scientific, Waltham, Massachusetts, USA). PCR amplification was carried out in a 20‐μL volume containing 20 ng of genomic DNA, 0.2 mM of dNTPs (Thermo Fisher Scientific), 2 μL 1× PCR buffer, 20 pM of each primer, and 0.25 units DyNAzyme DNA polymerase (Thermo Fisher Scientific). All reactions were performed in a MasterCycler ep96 (Eppendorf, Hamburg, Germany) with the following settings: 2 min of initial denaturation at 94°C; 35 cycles of denaturation for 30 s at 94°C, annealing for 1 min at 55°C, and extension for 2 min at 72°C; followed by a final extension for 5 min at 72°C. Amplification products were separated on 1.5% agarose gels (GE Healthcare, Chicago, Illinois, USA) using a 0.5× TBE buffer (220 V, 0.5 h) and stained with SYBR Safe DNA gel stain (Thermo Fisher Scientific) to validate successful amplifications.

After initial testing with three A. trifida and four Ambrosia species samples (A. artemisiifolia, A. maritima, A. psilostachya, and A. tenuifolia), the amplifications were repeated using fluorescently labeled primers applying the PCR protocol described above using all 49 Ambrosia samples. PCR products were analyzed on an ABI 3730XL DNA sequencer (Applied Biosystems, Foster City, California, USA) using a GeneScan 500 LIZ Size Standard (Applied Biosystems). The scoring of electropherograms was carried out with Geneious Prime (Biomatters Ltd., Auckland, New Zealand). All primers amplified successfully across the test individuals and 10 proved to be polymorphic, whereas five gave monomorphic patterns (Table 1). The polymorphic markers were used to evaluate the genetic diversity of 49 Ambrosia samples.

The number of alleles, effective number of alleles, and Shannon's information index were calculated with GenAlEx 6.5 (Peakall and Smouse, 2012), while expected heterozygosity and the polymorphism information content were calculated using iMEC (Amiryousefi et al., 2018). The number of alleles per locus ranged from two to six, the effective number of alleles ranged from 1.198 to 2.324, Shannon's information index ranged from 0.305 and 1.467, and the expected heterozygosity ranged from 0.178 to 0.645, while the polymorphism information content ranged from 0.211 to 0.675 (Table 2). The 10 polymorphic loci were also successfully amplified in 20 individuals (five individuals each) in the following four related species: A. artemisiifolia, A. maritima, A. psilostachya, and A. tenuifolia (Table 3, Appendix 1).

Table 2.

Characteristics of 10 polymorphic chloroplast microsatellite markers in 29 individuals of giant ragweed (Ambrosia trifida).a

Locus Ambrosia trifida (N = 29)
A A e I H e PIC
AART_MS2 3 1.624 0.675 0.413 0.478
AART_MS3 3 2.324 1.467 0.645 0.675
ATRI_MS9 3 2.112 0.808 0.573 0.597
AART_MS5 2 1.271 0.369 0.203 0.267
AART_MS9 6 1.654 0.911 0.426 0.501
ATRI_MS6 3 1.233 0.334 0.178 0.211
ATRI_MS8 4 1.198 0.305 0.446 0.523
AART_MS11 2 1.424 0.414 0.288 0.312
AART_MP6 4 1.806 0.897 0.446 0.489
AART_MP1 2 1.251 0.329 0.218 0.225
Mean 3.200 1.424 0.651 0.384 0.428

A = number of alleles; A e = effective number of alleles; H e = expected heterozygosity; I = Shannon's information index; N = number of individuals sampled; PIC = polymorphism information content.

a

Locality and voucher information are provided in Appendix 1.

Table 3.

Results of cross‐amplification of 10 polymorphic chloroplast microsatellite markers developed for Ambrosia trifida in four related ragweed species. a , b

Locus A. artemisiifolia (N = 5) A. psilostachya (N = 5) A. tenuifolia (N = 5) A. maritima (N = 5)
AART_MS2 142–148 145–148 148–154 142–148
AART_MS3 142–148 148–154 142–154 142–148
ATRI_MS9 141–144 144–147 147–153 141–144
AART_MS5 146–154 150–158 154–162 150–154
AART_MS9 144–160 152–160 156–164 148–160
ATRI_MS6 159–162 156–162 159–168 159–162
ATRI_MS8 153–165 153–157 153–161 149–161
AART_MS11 159–171 163–175 163–175 159–171
AART_MP6 141–149 153–157 149–157 141–153
AART_MP1 161–163 163–171 159–167 157–163

N = number of individuals sampled.

a

Numbers shown represent the size in base pairs (bp) of the amplified fragments.

b

Locality and voucher information are provided in Appendix 1.

CONCLUSIONS

We used the recently sequenced plastid genome of A. trifida (Sablok et al., 2019) to develop and characterize 15 chloroplast microsatellite markers; these were then used to identify high genetic diversity among the analyzed giant ragweed samples. Overall population genetic variation was similar to that detected in common ragweed (A. artemisiifolia) in North America and in the Rhône‐Alpes region (Genton et al., 2005). Given the high level of polymorphism detected with the developed cpSSR primer set in the A. trifida population, the markers developed here should be suitable for further studies investigating the origin of invasive populations in Europe and studying the dynamics of invasion and modes of dispersal. Due to the high rate of cross‐amplification, the developed polymorphic cpSSR primers will likely be useful in intra‐ or interspecific genetic studies of the genus Ambrosia.

ACKNOWLEDGMENTS

This project was supported by an Academy of Finland Mobility Grant (no. 322635 to H.S.). The authors thank Elina Laiho for laboratory assistance and performance of DNA extractions, Aija Ronkainen for assistance in editing herbarium data, and Julie Marie Uusinarkaus for editing the manuscript.

Appendix 1. Sampling information for ragweed specimens used in this study. a

Species Voucher no. Collection year Collection locality
Ambrosia trifida L. H1651188 1936 Viipuri, Maaskola
  H1651189 1936 Viipuri, Maaskola
  H1645552 1938 Helsinki, botanical garden
  H1645551 ca. 1930–1935 Helsinki, botanical garden
  H1273891 1977 Helsinki, botanical garden
  H1725761 2001 Missouri, Washington State Park
  H1591544 1957 Arlington, Virginia, Anderson Hospital
  H1566112 1984 Cameron, Louisiana
  H1076406 1966 Middleton, Dane County, Wisconsin
  H1076407 1966 Middleton, Dane County, Wisconsin
  H1018948 1970 Towson, Baltimore County, Maryland
  H1139339 1975 Florence, Hampshire County, Massachusetts
  H1137652 1959 The Pas, Manitoba, Canada
  H1141347 1972 Lexington, Davidson County, North Carolina
  H1150975 1976 Saint‐Fulgence, Québec
  H1208063 1976 Saint‐Fulgence, Québec
  H1555799 1980 Saint Albans, Franklin County, Vermont
  H1645543 1939 Arnaud, Manitoba
  H1645544 1968 Saint‐Gédéon, Québec
  H1645548 1935 Rigaud, Québec
  H1645546 1961 Sioux Lookout, Ontario
  H1645545 1867 Middleton, Dane County, Wisconsin
  H1645547 1958 Saint‐Fulgence, Québec
  H1645550 1892 Wisconsin
  H1282191 1979 City of Thunder Bay, Ontario
  H1017127 1967 Mount Horeb, Dane County, Wisconsin
  H1589855 1988 Luhansk (then Voroshilovgrad), Ukraine
  H1581440 1972 Litomerice, Czech Republic
  H1645540 1902 Schleswig‐Holstein, Germany
Ambrosia artemisiifolia L. H1070900 1968 Győr, Hungary
  H1216521 1976 Graz, Austria
  H1224407 1974 Solosnica, Slovakia
  H1679632 1992 Torino, Piemonte, Italy
  H1673036 1990 Anvers (Antwerp), Belgium
Ambrosia maritima L. H1645521 1964 Massa, Tuscany, Italy
  H1645522 1964 Massa, Tuscany, Italy
  H1092472 1973 Berre‐l’Étang, France
  H1477643 1958 Punta Sabbioni, Venice, Italy
  H1475197 1981 Sanlúcar de Barrameda, Cadiz, Spain
Ambrosia psilostachya DC. H1155299 1947 Noordwijk, the Netherlands
  H1247694 1979 Berlin, (West) Germany
  H1116344 1975 Anvers (Antwerp), Belgium
  H1594014 NA NA
  H1467250 NA NA
Ambrosia tenuifolia Spreng. H1645534 1908 Chapelle St. Laurent Beaucaire, France
  H1487927 1967 Buenos Aires, Rio de Plata
  H1491053 1974 Buenos Aires, Florida, Calle General Roca
  H1486933 1967 Buenos Aires, Magdalena, Arroyo Juan Blanco
  H1486934 1967 Buenos Aires, Magdalena, Arroyo Juan Blanco

NA = not available.

a

All vouchered specimens are deposited at the herbarium of the Finnish Museum of Natural History (H), University of Helsinki, Finland.

Sharma, H. , Hyvönen J., and Poczai P.. 2020. Development of chloroplast microsatellite markers for giant ragweed (Ambrosia trifida). Applications in Plant Sciences 8(1): e11313.

DATA AVAILABILITY

All sequence information was deposited in the National Center for Biotechnology Information (NCBI) GenBank database (accession numbers MN385584–MN385593 and NC_036810.2; Table 1).

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

All sequence information was deposited in the National Center for Biotechnology Information (NCBI) GenBank database (accession numbers MN385584–MN385593 and NC_036810.2; Table 1).


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