Literature DB >> 30684037

Cyanobiont diversity in six Azolla spp. and relation to Azolla-nutrient profiling.

Upendra Kumar1, Amaresh K Nayak2, Periasamy Panneerselvam2, Anjani Kumar2, Sangita Mohanty2, Mohammad Shahid2, Archana Sahoo2, Megha Kaviraj2, Himani Priya2, Nitiprasad N Jambhulkar2, Pradeep K Dash2, S D Mohapatra2, Prafulla K Nayak2.   

Abstract

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CONCLUSION: Illumina-Miseq®-based cyanobiont diversity and biomass were analyzed in six Azolla spp. Results revealed that 93-98% of total operational taxonomic units (OTUs) belong to Nostacaceae followed by Cylindrospermopsis with about 1-6% OTUs. The taxonomy of Azolla-cyanobiont is a long-term debate within the scientific community. Morphological and biochemical-based reports indicated the presence of Anabaena, Nostoc and/or Trichormus azollae as abundant Azolla-cyanobionts, however, molecular data did not support the abundance of Anabaena and/or Nostoc. To understand furthermore, the cyanobiont diversity in six species of Azolla (A. microphylla, A. mexicana, A. filiculoides, A. caroliniana, A. pinnata and A. rubra) was analyzed based on 16S rRNA Illumina-MiSeq sequencing. Additionally, biomass and nutrient profiling of Azolla spp. were analyzed and correlated with cyanobiont diversity. Illumina-MiSeq data revealed that 99.6-99.9% of total operational taxonomic units (OTUs) belonged to Nostocophycideae (class), Nostocales (order) and Nostacaceae (family). At genus level, the unassigned affiliation (93.4-97.9%) under Nostacaceae family was abundant followed by Cylindrospermopsis OTUs (1.1-6.0%). Interestingly, A. pinnata harboured maximum Cylindrospermopsis OTUs and also recorded higher biomass (40.67 g m-2 day-1), whereas crude protein (25.9%) and antioxidants (76.9%) were recorded to be higher in A. microphylla. Biplot analysis revealed that A. pinnata and its cyanobiont abundance were positively correlated with neutral and acid detergent fibers. Overall, the present findings deepened the understanding about cyanobiont in Azolla and its relations with Azolla nutrient profiling.

Entities:  

Keywords:  Azolla; Biomass; Cyanobiont; Illumina-MiSeq®; Nutrient profiling; Taxonomy

Mesh:

Substances:

Year:  2019        PMID: 30684037     DOI: 10.1007/s00425-019-03093-7

Source DB:  PubMed          Journal:  Planta        ISSN: 0032-0935            Impact factor:   4.116


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