Arid
DOI10.1111/1755-0998.13049
Estimating belowground plant abundance with DNA metabarcoding
Matesanz, Silvia1; Pescador, David S.1; Pias, Beatriz2; Sanchez, Ana M.1; Chacon-Labella, Julia3; Illuminati, Angela1; de la Cruz, Marcelino1; Lopez-Angulo, Jesus1; Mari-Mena, Neus4; Vizcaino, Anton4; Escudero, Adrian1
通讯作者Matesanz, Silvia
来源期刊MOLECULAR ECOLOGY RESOURCES
ISSN1755-098X
EISSN1755-0998
出版年2019
卷号19期号:5页码:1265-1277
英文摘要Most work on plant community ecology has been performed above ground, neglecting the processes that occur in the soil. DNA metabarcoding, in which multiple species are computationally identified in bulk samples, can help to overcome the logistical limitations involved in sampling plant communities belowground. However, a major limitation of this methodology is the quantification of species' abundances based on the percentage of sequences assigned to each taxon. Using root tissues of five dominant species in a semi-arid Mediterranean shrubland (Bupleurum fruticescens, Helianthemum cinereum, Linum suffruticosum, Stipa pennata and Thymus vulgaris), we built pairwise mixtures of relative abundance (20%, 50% and 80% biomass), and implemented two methods (linear model fits and correction indices) to improve estimates of root biomass. We validated both methods with multispecies mixtures that simulate field-collected samples. For all species, we found a positive and highly significant relationship between the percentage of sequences and biomass in the mixtures (R-2 = .44-.66), but the equations for each species (slope and intercept) differed among them, and two species were consistently over- and under-estimated. The correction indices greatly improved the estimates of biomass percentage for all five species in the multispecies mixtures, and reduced the overall error from 17% to 6%. Our results show that, through the use of post-sequencing quantification methods on mock communities, DNA metabarcoding can be effectively used to determine not only species' presence but also their relative abundance in field samples of root mixtures. Importantly, knowledge of these aspects will allow us to study key, yet poorly understood, belowground processes.
英文关键词coexistence DNA metabarcoding Mediterranean shrubland mock communities plant abundance rbcL region root biomass sequence
类型Article
语种英语
国家Spain
收录类别SCI-E
WOS记录号WOS:000477303100001
WOS关键词SPECIES ABUNDANCE ; SPATIAL-PATTERNS ; SOIL FEEDBACKS ; SINGLE ; ROOTS ; BIODIVERSITY ; COMMUNITIES ; RICHNESS ; BARCODES ; BIAS
WOS类目Biochemistry & Molecular Biology ; Ecology ; Evolutionary Biology
WOS研究方向Biochemistry & Molecular Biology ; Environmental Sciences & Ecology ; Evolutionary Biology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/217655
作者单位1.Univ Rey Juan Carlos, Area Biodiversidad & Conservac, Mostoles, Spain;
2.Univ Complutense Madrid, Dept Biodiversidad Ecol & Evoluc, Madrid, Spain;
3.Inst Nacl Invest & Tecnol Agr & Alimentaria INIA, Dept Medio Ambiente, Madrid, Spain;
4.AllGenet & Biol SL, Edificio CICA, Coruna, Spain
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GB/T 7714
Matesanz, Silvia,Pescador, David S.,Pias, Beatriz,et al. Estimating belowground plant abundance with DNA metabarcoding[J],2019,19(5):1265-1277.
APA Matesanz, Silvia.,Pescador, David S..,Pias, Beatriz.,Sanchez, Ana M..,Chacon-Labella, Julia.,...&Escudero, Adrian.(2019).Estimating belowground plant abundance with DNA metabarcoding.MOLECULAR ECOLOGY RESOURCES,19(5),1265-1277.
MLA Matesanz, Silvia,et al."Estimating belowground plant abundance with DNA metabarcoding".MOLECULAR ECOLOGY RESOURCES 19.5(2019):1265-1277.
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