Karyotype Analysis of Two Kinds of Red Petioles Leaf Beet
- https://doi.org/10.2991/bbbs-18.2018.11How to use a DOI?
- Leaf beet, Red Petioles, Chromosome, Karyotype.
Leaf beet is one of the important leaf vegetables and has important ornamental value. Red petioles leaf beet includes two kinds, green leaves and red leaves. They are new types of leaf beet and are popular with consumers. In this research, we try to obtain cytological parameters on these two leaf beet. Seven chromosomal parameters were measured and calculated: chromosome length, relative length, index of relative length, type of relative length, arm ratio, centromere index, and centromere type. The results showed that the maximum chromosome length of green leaves kind of red petioles leaf beet was measured 2.54 µm and max arm ratio was determined 1.75, relative length ranged between 8.19%-12.93%. The maximum centromeric index was measured in 47.43%, Karyotype asymmetry index was 57.16%, and the karyotype formula was 2n=18=16m+2sm (2SAT). The maximum chromosome length of red leaves kind of red petioles leaf beet was measured 2.92 µm and max arm ratio was determined 1.92, relative length ranged between 9.00%-12.86%. The maximum centromeric index was measured in 46.07%, Karyotype asymmetry index was 60.10%, and the karyotype formula was 2n=18=14m(2SAT)+4sm. The karyotype characteristics of two kinds of leaf beet were all type 1A. The findings revealed the karyotypic characteristics of leaf beet from the cytogenetic aspects, and inferred the revolution of red leaves kind of red petioles leaf beet is higher than green leaves kind.
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Bo Sun AU - Yuxiao Tian AU - Xue Xia AU - Fen Zhang AU - Haoru Tang PY - 2018/04 DA - 2018/04 TI - Karyotype Analysis of Two Kinds of Red Petioles Leaf Beet BT - Proceedings of the 2018 International Workshop on Bioinformatics, Biochemistry, Biomedical Sciences (BBBS 2018) PB - Atlantis Press SP - 48 EP - 51 SN - 2468-5747 UR - https://doi.org/10.2991/bbbs-18.2018.11 DO - https://doi.org/10.2991/bbbs-18.2018.11 ID - Sun2018/04 ER -