Abstract:The phytoliths of eight genera including fifteen species of grasses under the subfamily Chloridoideae in Kerala were studied. Phytoliths were studied after chemical isolation. Every species was found to produce a diverse array of phytoliths. However the frequency assemblages of phytoliths, their size, and orientation in the epidermal layer appear to vary among the different species and hence can be used for the delimitation of the taxa. Consequently, an identification key following the International Code for P… Show more
“…Raole and Desai (2009) while carrying out epidermal studies in some members of Andropogoneae used the shape of silica bodies as one of the characters in classifying the taxa. The potential of phytoliths for species identification has been proved by our earlier work in the subfamily Chloridoideae (Jattisha and Sabu 2012).…”
Foliar phytolith studies were carried out in 13 genera including 29 commonly occurring species of the tribe Paniceae of the subfamily Panicoideae (Family: Poaceae) to determine the variations that exist in the phytolith characters, thereby assessing their value in identifying the species. Phytoliths were studied intact in epidermal peeling and also after isolation in acid medium. The members of the tribe were observed to produce a wide variety of lobate phytoliths including bilobate simple type, bilobate nodular, trilobate and polylobate. Ridged bilobate phytoliths produced by certain genera like Digitaria, Echinochloa and Sacciolepis are characteristic of the subfamily. Saddle shapes were not observed in any of the taxa under study. Shapes of phytoliths in the costal regions, their size, intercostal short cell silicification, nature of outer margins, presence of different appendages like papilla, microhairs, macrohairs and prickle hairs are important characters observed in epidermal peeling. Frequency percentages of different phytolith types occurring in isolated samples were also found to be reliable for taxonomic use. A key is prepared for the identification of all the 29 species studied. This could facilitate the identification of the taxa in the vegetative stage itself even when the spikelets are not available.
“…Raole and Desai (2009) while carrying out epidermal studies in some members of Andropogoneae used the shape of silica bodies as one of the characters in classifying the taxa. The potential of phytoliths for species identification has been proved by our earlier work in the subfamily Chloridoideae (Jattisha and Sabu 2012).…”
Foliar phytolith studies were carried out in 13 genera including 29 commonly occurring species of the tribe Paniceae of the subfamily Panicoideae (Family: Poaceae) to determine the variations that exist in the phytolith characters, thereby assessing their value in identifying the species. Phytoliths were studied intact in epidermal peeling and also after isolation in acid medium. The members of the tribe were observed to produce a wide variety of lobate phytoliths including bilobate simple type, bilobate nodular, trilobate and polylobate. Ridged bilobate phytoliths produced by certain genera like Digitaria, Echinochloa and Sacciolepis are characteristic of the subfamily. Saddle shapes were not observed in any of the taxa under study. Shapes of phytoliths in the costal regions, their size, intercostal short cell silicification, nature of outer margins, presence of different appendages like papilla, microhairs, macrohairs and prickle hairs are important characters observed in epidermal peeling. Frequency percentages of different phytolith types occurring in isolated samples were also found to be reliable for taxonomic use. A key is prepared for the identification of all the 29 species studied. This could facilitate the identification of the taxa in the vegetative stage itself even when the spikelets are not available.
“…While studying the lobate phytolith variations in grasses from China and the southeastern United States, Lu and Liu (2003a) also recovered a fair amount of bilobate phytoliths from Leptochloa chinensis. Jattisha and Sabu (2012) also reported Leptochloa chinensis from south India as a prolific bilobate producer. In the scatter plots obtained from correspondence analyses, the genus is plotted within panicoid group and showed its close relationship with panicoid grasses (Fig.…”
Section: Significant Findings In Grass Phytolith Spectramentioning
confidence: 95%
“…Triticum aestivum. Therefore, low to moderate presence of trapeziforms in non-pooid grasses of the region may be considered as a deviation likewise recovery of rondels from non-pooid grasses, crosses from non-panicoid grasses and short saddle from non-chloridoid grasses which have been recorded in several studies from different parts of the world (Mulholland 1989, Piperno and Pearsall 1998, Lu and Liu 2003a, b, Honaine et al 2006, Barboni and Bremond 2009, Ghosh et al 2011, Jattisha and Sabu 2012, Biswas et al 2016.…”
Section: Significant Findings In Grass Phytolith Spectramentioning
confidence: 97%
“…Phytolith formation in qualitative and quantitative terms is primarily genetically controlled (Dorweiler and Doebley 1997, Piperno et al 2002, Hodson et al 2005, Mitani and Ma 2005, Piperno 2006, Ma et al 2006, 2007a, b, Yamaji et al 2008, Chiba et al 2009, Peleg 2010, Markovich et al 2015, Exley 2015, Kumar et al 2016, McLarnon et al 2017 though environmental factors may sometimes be influential (Jie et al 2010, Liu et al 2013, Dey et al 2015. Due to the strong relationship between plant taxa and phytolith morphometry, these biogenic silicomorphs have been used as a taxonomic proxy (Metcalfe 1960, Twiss 1992, Mulholland and Rapp 1992, Krishnan et al 2000, Raole and Desai 2009, Ball et al 2009, Ahmad et al 2011, Shakoor et al 2014, Jattisha and Sabu 2012, Kealhofer et al 2015, Gu et al 2016, Neumann et al 2017.…”
Section: Phytolith Key For the Identification Of Studied Grassesmentioning
confidence: 99%
“…Phytolith characters are considered as genetically governed important trait which may be only slightly influenced by environmental factors (Hodson et al 2005, Mitani and Ma 2005, Piperno 2006). Hence, their considerable diversity, distinctiveness and frequency attributes may provide crucial inputs in grass taxonomy and have been utilized for discriminating grass taxa at various taxonomic levels (Metcalfe 1960, Twiss 1992, Mulholland and Rapp 1992, Krishnan et al 2000, Raole and Desai 2009, Ball et al 2009, Ahmad et al 2011, Jattisha and Sabu 2012, Shakoor et al 2014, Kealhofer et al 2015, Gu et al 2016, Neumann et al 2017.…”
In the present study, taxonomic potential of opal phytoliths was examined in grasses from lower Gangetic delta, West Bengal, India. The study revealed that finer classification of phytoliths can increase the efficacy of opal silica as taxonomic proxy by minimizing the influences of multiplicity and redundancy. We isolated 187 phytolith sub‐morphotypes, categorized under 10 major groups, from 110 grass species belonging to 45 genera, 21 sub‐tribes, 13 tribes and 7 subfamilies. Cluster and correspondence analyses showed that all the significantly represented subfamilies can be clearly distinguished on the basis of either principal morphotypes or sub‐morphotypes. However, genus/species level discrimination may only be possible by deploying phytolith based identification key developed by utilizing detailed grass phytolith micro‐morphometry and frequency attributes. We conclude that grass phytolith characteristics provide useful and significant information for distinguishing grass taxa of deltaic West Bengal.
In the recent advancements in identification of plant species, phytoliths have found an immense role in the identification of plants at different levels of taxonomic hierarchy. Many plant groups are known to accumulate silica in solid form in and between the cells and tissues and hence create the structures commonly known as phytoliths. These phytoliths create replicas of the structures where they are deposited. The shapes of phytolith replicas, their size dimensions (morphometric parameters), surface features (ornamentation), distribution, and orientation pattern in epidermal layers of vegetative and reproductive structures as well as their frequency are highly important for characterization of species. Monocotyledonous families particularly the family Poaceae (Gramineae) are known to produce diverse phytolith types that can serve as diagnostic markers for characterization of different taxa at different levels of taxonomic hierarchy. The present paper highlights the importance of phytoliths in taxonomic analysis of plants particularly in the family Poaceae.
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