Development and application of a DNA metabarcoding method for comprehensive analysis of soil nematode communities

2021 ◽  
Vol 166 ◽  
pp. 103974
Author(s):  
Masanori Kawanobe ◽  
Koki Toyota ◽  
Karl Ritz
Diversity ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 52 ◽  
Author(s):  
Lieven Waeyenberge ◽  
Nancy de Sutter ◽  
Nicole Viaene ◽  
Annelies Haegeman

Nematodes are ideal biological indicators to monitor soil biodiversity and ecosystem functioning. For this reason, they have been receiving increasing attention from a broad range of scientists. The main method to characterize soil nematode communities until at least genus level is still based on microscopic observations of nematode morphology. Such an approach is time-consuming, labor-intensive, and requires specialized personnel. The first studies on the potential use of DNA-metabarcoding to characterize nematode communities showed some shortcomings: under- or overestimation of species richness caused by failure to detect a number of nematode species or caused by intraspecific sequence variants increasing the number of OTUs (operational taxonomic units) or ‘molecular’ species, and flaws in quantification. We set up experiments to optimize this metabarcoding approach. Our results provided new insights such as the drastic effect of different DNA-extraction methods on nematode species richness due to variation in lysis efficacy. Our newly designed primer set (18S rRNA gene, V4-V5 region) showed in silico an improved taxonomic coverage compared with a published primer set (18S rRNA gene, V6-V8 region). However, results of DNA-metabarcoding with the new primer set showed less taxonomic coverage, and more non-nematode reads. Thus, the new primer set might be more suitable for whole soil faunal analysis. Species-specific correction factors calculated from a mock community with equal amounts of different nematode species were applied on another mock community with different amounts of the same nematode species and on a biological sample spiked with four selected nematode species. Results showed an improved molecular quantification. In conclusion, DNA-metabarcoding of soil nematode communities is useful for monitoring shifts in nematode composition but the technique still needs further optimization to enhance its precision.


2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Amy M. Treonis ◽  
Samantha K. Unangst ◽  
Ryan M. Kepler ◽  
Jeffrey S. Buyer ◽  
Michel A. Cavigelli ◽  
...  

2011 ◽  
Vol 74 (7) ◽  
pp. 2002-2012 ◽  
Author(s):  
Sónia Chelinho ◽  
Klaus Dieter Sautter ◽  
Anabela Cachada ◽  
Isabel Abrantes ◽  
George Brown ◽  
...  

2014 ◽  
Vol 6 (8) ◽  
pp. 112-121 ◽  
Author(s):  
Akyazi Faruk ◽  
Yildiz Senol ◽  
Firat Felek Anil

2016 ◽  
Vol 7 (1) ◽  
pp. 9-14
Author(s):  
Duong Duc Hieu

Soil nematodes play an important role in indication for assessing soil environments and ecosystems. Previous studies of nematode community analyses based on molecular identification have shown to be useful for assessing soil environments. Here we applied PCR-DGGE method for molecular analysisoffive soil nematode communities (designed as S1 to S5) collected from four provinces in Southeastern Vietnam (Binh Duong, Ba Ria Vung Tau, Binh Phuoc and Dong Nai) based on SSU gene. By sequencing DNA bands derived from S5 community sample, our data show 15 species containing soil nematode, other nematode and non-nematode (fungi) species. Genus Meloidogyne was found as abundant one. The genetic relationship of soil nematode species in S5 community were determined by Maximum Likelihood tree re-construction based on SSU gene. This molecular approach is applied for the first time in Vietnam for identification of soil nematode communities. Tuyến trùng đất đóng vai trò chỉ thị quan trọng trong công tác đánh giá môi trường và hệ sinh thái đất. Các nghiên cứu trước đây đã cho thấy lợi ích của việc phân tích cộng đồng tuyến trùng đất bằng định danh sinh học phân tử đối với việc đánh giá môi trường đất. Ở đây, chúng tôi ứng dụng phương pháp PCR-DGGE dựa trên gene SSU để phân tích năm (ký hiệu từ S1 đến S5) cộng đồng tuyến trùng đất thuộc các vùng trồng chuyên canh cây hồ tiêu ở miền nam Việt Nam (Bình Dương, Bà Rịa Vũng Tàu, Bình Phước và Đồng Nai). Bằng cách giải trình tự các vạch của mẫu tuyến trùng S5, kết quả cho thấy cộng đồng tuyến trùng này có 15 loài gồm nhóm tuyến trùng đất, nhóm các loại tuyến trùng khác và nhóm không phải tuyến trùng (nấm) và trong đó Meloidogyne là giống ưu thế. Mối quan hệ di truyền của các các loài tuyến trùng đất thuộc cộng đồng S5 được xác định bằng việc thiết lập cây phát sinh loài Maximum Likelihood dựa trên gene SSU. Đây là nghiên cứu đầu tiên ở Việt Nam sử dụng kỹ thuật PCR-DGGE để phân tích các cộng đồng tuyến trùng đất trồng hồ tiêu.


2007 ◽  
Vol 13 ◽  
pp. 107-110
Author(s):  
M. Omacini ◽  
E.J. Chaneton ◽  
C.M. Ghersa

There is a growing recognition that endophyte effects on host plant traits may be propagated through food chains. We studied Neotyphodium occultans effects on soil nematode communities mediated by current and past patch occupancy by endophyteinfected Lolium multiflorum populations. A microcosm experiment was performed to evaluate whether abundance and diversity of nematodes at different trophic levels were affected by endophyte infection through rhizosphere-mediated or littermediated effects. We found that presence of endophyte-infected plants and their aerial litter both triggered a bottom-up trophic cascade enhancing the abundance of herbivorous and predaceous nematode taxa. Endophyte infection also increased overall nematode richness, mostly through changes induced at the highest trophic level in this soil food web. Our results suggest that fungal endophytes can modify the linkages between aboveand belowground community compartments, with potential consequences on plant patch dynamics. Keywords: soil food webs, Lolium multiflorum, Neotyphodium occultans, plant-soil feedback, after-life effects, indirect interactions, trophic cascades


Oecologia ◽  
2019 ◽  
Vol 192 (1) ◽  
pp. 281-294 ◽  
Author(s):  
Julia Siebert ◽  
Marcel Ciobanu ◽  
Martin Schädler ◽  
Nico Eisenhauer

Oecologia ◽  
2019 ◽  
Vol 190 (4) ◽  
pp. 891-899 ◽  
Author(s):  
Guadalupe Peralta ◽  
Nicole L. Schon ◽  
Ian A. Dickie ◽  
Mark G. St. John ◽  
Kate H. Orwin ◽  
...  

2007 ◽  
Vol 39 (7) ◽  
pp. 1782-1793 ◽  
Author(s):  
Huili Chen ◽  
Bo Li ◽  
Changming Fang ◽  
Jiakuan Chen ◽  
Jihua Wu

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