Species Composition Of Mixtures Research Articles

Species identification of biological ingredients in herbal product, Gurigumu-7, based on DNA barcoding and shotgun metagenomics.

Accurate identification the species composition in mixtures poses a significant challenge, especially in processed mixtures comprising multiple species, such as those found in food and pharmaceuticals. Therefore, we have attempted to utilize shotgun metabarcoding technology to tackle this issue. In this study, the method was initially established using two mock samples of the Mongolian compound preparation Gurigumu-7 (G-7), which was then applied to three pharmaceutical products and 12 hospital-made preparations. A total of 119.72 Gb of raw data sets were obtained through shotgun metagenomic sequencing. By combining ITS2, matK, and rbcL, all the labeled bio-ingredients specified in the G-7 prescription can be detected, although some species may not be detectable in all samples. The prevalent substitution of Akebia quinata can be found in all the pharmaceutical and hospital samples, except for YN02 and YN12. The toxic alternative to Akebia quinata, Aristolochia manshuriensis, was exclusively identified in the YN02 sample. To further confirm this result, we validated it in YN02 using HPLC and real-time PCR with TaqMan probes. The results showed that aristolochic acid A (AAA) was detected in YN02 using HPLC, and the ITS2 sequence of Aristolochia manshuriensis has been validated in YN02 through qPCR and the use of a TaqMan probe. This study confirms that shotgun metabarcoding can effectively identify the biological components in Mongolian medicine compound preparation G-7. It also demonstrates the method's potential to be utilized as a general identification technique for mixtures containing a variety of plants.

Tree species identity drives nutrient use efficiency in young mixed‐species plantations, at both high and low water availability

Abstract Previous studies have demonstrated that tree species diversity increases productivity and may enhance nutrient cycling in forests. The effect of mixing tree species on stand‐level nutrient use efficiency (NutUE) has seldom been studied, and even less so in the context of climate change. Here we present the first study examining how diversity effects on NutUE may be modified by growing season water availability (low vs. high), and importantly, during periodic drought or on water‐limited sites. We tested the interaction of water availability and tree species diversity (i.e. species richness and species identity) on NutUE in two young, experimental plantations located in south‐western France (ORPHEE), and northern Ontario, Canada (IDENT‐SSM). We calculated stand‐level NutUE as above‐ground net primary productivity (ANPP) divided by the product of litterfall mass and macronutrient concentrations, of monocultures and mixed tree communities composed of several temperate tree species, with a focus on birch and pine at both sites. We found significant species richness and water availability effects on NutUE, but they were weakly and inconsistently expressed, detected only for specific nutrients, and differed between the two sites. Species identity had much stronger effects on NutUE when examined using the birch–pine plots at both sites. At ORPHEE, nitrogen use efficiency (NUE) and phosphorus use efficiency (PUE) were significantly greater in the birch–pine mixture than in each monoculture. This was due to an increase in ANPP coupled with a decrease in litter nutrient concentrations in the two‐species plot that was driven by the dominance of pine in the mixture. In the comparatively younger, denser plots at IDENT‐SSM, birch was the dominant species that resulted in positive mixing effects on ANPP and litter nutrient concentrations and a neutral effect of mixing on NUE and PUE in the birch–pine mixture. Overall, the effects of mixing did not differ with water availability treatments, suggesting that species composition of mixtures is more important than water availability for stand‐level NutUE in these young forest communities. Read the free Plain Language Summary for this article on the Journal blog.

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The botanical composition of 2 turfgrass mixtures on the basis of drought-tolerant species Festuca rubra L. and Festuca arundinacea Schreb. was evaluated by method of reduced projective dominance in natural conditions in the Research state Nitra (western Slovakia) during years 2007 – 2012. The species composition of mixture was significant in the early stages of turf development. The rapidly evolving Lolium perenne L. (part of the mixture 1) had shortly after sowing relatively high ground cover. It was the dominant species in turf in year of turf establishment. Lolium perenne’s part was successively decreased in next period. Festuca rubra agg. acquired the dominance in turf. Turfgrass mixtures, which contained slower evolving Festuca arundinacea Schreb. and very slowly evolving Poa pratensis L., had suitable ground cover in autumn in year of sowing or until spring in next year. The effect of supplied nutrients was reflected in year of sowing in mixture 1, resp. from the second year of cultivation in mixture 2, when the variants fertilized by a dose of 90 kg*ha-1 N (V3) exhibited higher ground cover of grasses compared to unfertilized variant (V1) and variant V2 (45 kg*ha-1 N). Higher dose of nitrogen (V3) promote the competitive strength of both mixtures, which resulted in low to very low occurrence of weeds in turf in comparison with other variants.

Effects of plant diversity on invasion of weed species in experimental pasture communities

Studies have shown that weed invasion into grasslands may be suppressed if the resident plant community is sufficiently diverse. The objective of this study was to determine whether increased forage plant diversity in grazed pasture communities might be associated with reduced weed abundance both in the aboveground vegetation and soil seed bank. Data were collected from a pasture experiment established in 1994 in Missouri, USA. The experiment consisted of 15 m×15 m plots sown with Festuca arundinacea Schreb. or Bromus inermis Leysser as a base species in mixtures of 1, 2, 3, 6, or 8 forage species. The plots were grazed by cattle during each growing season from 1998 to 2002. Aboveground plant species composition in each plot was measured using a point step method. Soil cores were collected in 1999 and 2002, and the species composition of germinable weed seeds in plots were evaluated by identifying seedlings as they germinated over an 8-week period. Species diversity was measured using several indices: species richness (S), Shannon–Wiener diversity index (H′), and forage species evenness (J). Aboveground weed abundance in plots was unrelated to forage species richness (S), but weed abundance declined as the evenness (J) of resident forage species increased in mixtures. The species composition of mixtures may have affected weed abundance. Weeds both in the soil seed bank and aboveground vegetation were less abundant in mixtures that contained F. arundinacea compared with mixtures that contained B. inermis. Although variables like forage plant productivity may also suppress weed abundance in pastures, our results suggest that maintaining an evenly distributed mixture of forage species may help suppress weeds as well. Untersuchungen haben gezeigt, dass die Unkrautinvasion in Grünländer unterdrückt sein kann, wenn die ansässige Pflanzengemeinschaft ausreichend divers ist. Die Zielsetzung dieser Untersuchung war es zu bestimmen, ob eine erhöhte Futterpflanzendiversität in beweideten Grünlandgemeinschaften mit einer verringerten Unkrautabundanz sowohl bei der oberirdischen Vegetation als auch in der Bodensamenbank verbunden sein kann. Die Daten wurden in einem Weidelandexperiment gesammelt, das 1994 in Missouri, USA, etabliert wurde. Das Experiment bestand aus 15 m×15 m Probeflächen, die mit Festuca arundinacea Schreb. oder Bromus inermis Leysser als Basisarten in Mischungen von 1, 2, 3, 6 oder 8 Futterarten eingesät waren. Die Probeflächen wurden während jeder Wachstumssaison von 1998 bis 2002 stark mit Vieh beweidet. Die oberirdische Pflanzenartenzusammensetzung wurde in jeder Fläche mit einer Punktstopmethode gemessen. Bodenproben wurden 1999 und 2002 gesammelt und die Artenzusammensetzung der keimfähigen Unkrautsamen wurde in den Probeflächen bewertet, indem die Keimlinge identifiziert wurden, die in einer 8-wöchigen Periode keimten. Die Artendiversität wurde unter Verwendung verschiedener Indizes gemessen: Artenreichtum (S), Shannon–Wiener-Diversitätsindex (H′) und Futterarten-Äquitabilität (J). Die oberirdische Unkrautartenabundanz in den Probeflächen stand in keiner Beziehung zum Futterartenreichtum (S), aber die Unkrautabundanz nahm ab, wenn die Äquitabilität (J) der ansässigen Futterarten in den Mischungen zunahm. Die Artenzusammensetzung der Mischungen könnte die Unkrautabundanz beeinflusst haben. Sowohl die Unkräuter in der Bodensamenbank, als auch in der oberirdischen Vegetation waren weniger abundant in Mischungen, die F. arundinacea enthielten, im Vergleich zu denen, die B. inermis enthielten. Obgleich Variablen wie die Futterpflanzenproduktivität möglicherweise ebenfalls die Unkrautabundanz im Weideland unterdrücken, lassen unsere Ergebnisse vermuten, dass die Aufrechterhaltung einer gleichmäßigen Mischung von Futterarten ebenfalls helfen kann, die Unkräuter zu unterdrücken.

Reliable identification of the quarantine root‐knot nematodes Meloidogyne chitwoodi and M. fallax by PCR‐based techniques*

The root‐knot nematodes Meloidogyne chitwoodi and M. fallax have been declared quarantine pests in Europe and there is a growing need for practical, reliable techniques to identify these nematodes and distinguish them from M. hapla. Such methods are needed for plant resistance management and research, for design of crop rotation systems and for inspection of harvested crops or soil samples. At the moment, several PCR‐based techniques have been developed, based on rDNA and SCAR primers. Some of these methods can be applied for extremely sensitive detection of a specific species, enabling the detection of 0.001 juvenile or less. These can also detect specific species present in mixtures in proportions of less than 1%. Others enable a precise estimation of the species composition in mixtures and can detect species present in mixtures in proportions as low as 5%. Depending on the question to be asked and the source of the sample to be studied, optimal diagnostic assays can be created by combining relevant methods.